From fc6a58e9e93581631d854e13e32738f672fe3906 Mon Sep 17 00:00:00 2001 From: David Vega Lichacz <7826728+realdavidvega@users.noreply.github.com> Date: Thu, 30 May 2024 18:55:29 +0200 Subject: [PATCH 01/29] Tokenizer: Support GPT4o o200k encoding (#748) * feat: support GPT4o o200k encoding * style: spotless * fix: remove case-insensitive matching on native * fix: missing space on native and js regexes * fix: alpha numerics instead of alpha chars for native * fix: alpha numerics on rest of places * fix: adjust more the regex for native --- .../functional/tokenizer/EncodingType.kt | 22 +- .../xebia/functional/tokenizer/ModelType.kt | 6 +- .../tokenizer/internal/SpecialTokens.kt | 5 + .../tokenizer/internal/o200k_base.kt | 200002 +++++++++++++++ .../functional/tokenizer/O200kBaseTest.kt | 85 + .../resources/o200k_base_encodings.csv | 422 + .../com/xebia/functional/tokenizer/regex.kt | 25 +- .../com/xebia/functional/tokenizer/regex.kt | 26 +- .../com/xebia/functional/tokenizer/regex.kt | 81 +- 9 files changed, 200652 insertions(+), 22 deletions(-) create mode 100644 tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/internal/o200k_base.kt create mode 100644 tokenizer/src/commonTest/kotlin/com/xebia/functional/tokenizer/O200kBaseTest.kt create mode 100644 tokenizer/src/commonTest/resources/o200k_base_encodings.csv diff --git a/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/EncodingType.kt b/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/EncodingType.kt index 6525c2e37..d812efb07 100644 --- a/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/EncodingType.kt +++ b/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/EncodingType.kt @@ -3,9 +3,11 @@ package com.xebia.functional.tokenizer import com.xebia.functional.tokenizer.internal.SPECIAL_TOKENS_CL100K_BASE +import com.xebia.functional.tokenizer.internal.SPECIAL_TOKENS_O200K_BASE import com.xebia.functional.tokenizer.internal.SPECIAL_TOKENS_P50K_EDIT import com.xebia.functional.tokenizer.internal.SPECIAL_TOKENS_X50K_BASE import com.xebia.functional.tokenizer.internal.cl100k_base +import com.xebia.functional.tokenizer.internal.o200k_base import com.xebia.functional.tokenizer.internal.p50k_base import com.xebia.functional.tokenizer.internal.r50k_base import kotlin.io.encoding.Base64 @@ -43,9 +45,19 @@ enum class EncodingType(@Suppress("UNUSED_PARAMETER") name: String) { } }, CL100K_BASE("cl100k_base") { - override val base: String = cl100k_base - override val regex: Regex = cl100k_base_regex - override val specialTokensBase: Map = SPECIAL_TOKENS_CL100K_BASE + override val base: String = cl100k_base + override val regex: Regex = cl100k_base_regex + override val specialTokensBase: Map = SPECIAL_TOKENS_CL100K_BASE + override val encoding by lazy { + EncodingFactory.fromPredefinedParameters( + name, regex, base, specialTokensBase + ) + } + }, + O200K_BASE("o200k_base") { + override val base: String = o200k_base + override val regex: Regex = o200k_base_regex + override val specialTokensBase: Map = SPECIAL_TOKENS_O200K_BASE override val encoding by lazy { EncodingFactory.fromPredefinedParameters( name, regex, base, specialTokensBase @@ -73,6 +85,7 @@ private object EncodingFactory { private fun fromParameters(parameters: GptBytePairEncodingParams): Encoding = GptBytePairEncoding(parameters) + @OptIn(ExperimentalEncodingApi::class) fun loadMergeableRanks(base: String): Map = buildMap { base.lineSequence().forEach { line -> @@ -82,5 +95,6 @@ private object EncodingFactory { } } -expect val cl100k_base_regex: Regex expect val p50k_regex: Regex +expect val cl100k_base_regex: Regex +expect val o200k_base_regex: Regex diff --git a/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/ModelType.kt b/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/ModelType.kt index 9f68ebd08..8b4571a6f 100644 --- a/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/ModelType.kt +++ b/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/ModelType.kt @@ -1,6 +1,7 @@ package com.xebia.functional.tokenizer import com.xebia.functional.tokenizer.EncodingType.CL100K_BASE +import com.xebia.functional.tokenizer.EncodingType.O200K_BASE import com.xebia.functional.tokenizer.EncodingType.P50K_BASE import com.xebia.functional.tokenizer.EncodingType.R50K_BASE import kotlin.jvm.JvmStatic @@ -146,11 +147,10 @@ sealed class ModelType( ModelType("gpt-4-vision-preview", CL100K_BASE, 128000, tokensPerMessage = 3, tokensPerName = 2, tokenPadding = 5) object GPT_4O : - ModelType("gpt-4o", CL100K_BASE, 128000, tokensPerMessage = 3, tokensPerName = 2, tokenPadding = 5) + ModelType("gpt-4o", O200K_BASE, 128000, tokensPerMessage = 3, tokensPerName = 2, tokenPadding = 5) object GPT_4O_2024_05_13 : - ModelType("gpt-4o-2024-05-13", CL100K_BASE, 128000, tokensPerMessage = 3, tokensPerName = 2, tokenPadding = 5) - + ModelType("gpt-4o-2024-05-13", O200K_BASE, 128000, tokensPerMessage = 3, tokensPerName = 2, tokenPadding = 5) // text object TEXT_DAVINCI_003 : ModelType("text-davinci-003", P50K_BASE, 4097) diff --git a/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/internal/SpecialTokens.kt b/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/internal/SpecialTokens.kt index 23551b233..e00b571e8 100644 --- a/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/internal/SpecialTokens.kt +++ b/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/internal/SpecialTokens.kt @@ -24,3 +24,8 @@ internal val SPECIAL_TOKENS_CL100K_BASE: Map = HashMap put(FIM_SUFFIX, 100260) put(ENDOFPROMPT, 100276) } + +internal val SPECIAL_TOKENS_O200K_BASE: Map = HashMap(2).apply { + put(ENDOFTEXT, 199999); + put(ENDOFPROMPT, 200018); +} diff --git a/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/internal/o200k_base.kt b/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/internal/o200k_base.kt new file mode 100644 index 000000000..f9beb80b8 --- /dev/null +++ b/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/internal/o200k_base.kt @@ -0,0 +1,200002 @@ +package com.xebia.functional.tokenizer.internal + +internal val o200k_base: String by lazy(mode = LazyThreadSafetyMode.SYNCHRONIZED) { +"""IQ== 0 +Ig== 1 +Iw== 2 +JA== 3 +JQ== 4 +Jg== 5 +Jw== 6 +KA== 7 +KQ== 8 +Kg== 9 +Kw== 10 +LA== 11 +LQ== 12 +Lg== 13 +Lw== 14 +MA== 15 +MQ== 16 +Mg== 17 +Mw== 18 +NA== 19 +NQ== 20 +Ng== 21 +Nw== 22 +OA== 23 +OQ== 24 +Og== 25 +Ow== 26 +PA== 27 +PQ== 28 +Pg== 29 +Pw== 30 +QA== 31 +QQ== 32 +Qg== 33 +Qw== 34 +RA== 35 +RQ== 36 +Rg== 37 +Rw== 38 +SA== 39 +SQ== 40 +Sg== 41 +Sw== 42 +TA== 43 +TQ== 44 +Tg== 45 +Tw== 46 +UA== 47 +UQ== 48 +Ug== 49 +Uw== 50 +VA== 51 +VQ== 52 +Vg== 53 +Vw== 54 +WA== 55 +WQ== 56 +Wg== 57 +Ww== 58 +XA== 59 +XQ== 60 +Xg== 61 +Xw== 62 +YA== 63 +YQ== 64 +Yg== 65 +Yw== 66 +ZA== 67 +ZQ== 68 +Zg== 69 +Zw== 70 +aA== 71 +aQ== 72 +ag== 73 +aw== 74 +bA== 75 +bQ== 76 +bg== 77 +bw== 78 +cA== 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121831 +IGRpYXBlcnM= 121832 +INGP0pk= 121833 +INee16rXldea 121834 +c2VxdWVsaXpl 121835 +IOCkueCkvuCkuOCkv+Cksg== 121836 +IHNpeWFuZw== 121837 +IHZvcnM= 121838 +IGRva3Rlcg== 121839 +INem15k= 121840 +U2lnaHQ= 121841 +bmlrb20= 121842 +INGB0LLQsNC0 121843 +JGl0ZW0= 121844 +J2FsdA== 121845 +INGA0LDQt9Cy0LjRgtC4 121846 +LWRpc3BsYXk= 121847 +dWxpZg== 121848 +IGV4aWI= 121849 +bGllYmVu 121850 +4Kid 121851 +Z3LDtg== 121852 +IFdpbGxlbQ== 121853 +IGNlc3Nl 121854 +IGVpbmlnZXM= 121855 +4YOa4YOU4YOR4YOh 121856 +INC/0YDQuNGB0YLRg9C/ 121857 +VGVhY2hpbmc= 121858 +IHByb3RhZ29uaXN0YXM= 121859 +IGZha2Vy 121860 +IHBhcnRpY2lwYQ== 121861 +X1RDUA== 121862 +Sm9n 121863 +LkdS 121864 +IHV0YWs= 121865 +0YDTmdGC 121866 +4oCZaMOpc2l0ZXo= 121867 +IEdPTEQ= 121868 +55Sa6Iez 121869 +IHNsb2I= 121870 +0YjQutCw 121871 +IM+Ez4zPg86/ 121872 +IGFsZ29k 121873 +SG9uZw== 121874 +IG1lbnNhbA== 121875 +IHBpbmM= 121876 +IGRlY3JlbWVudA== 121877 +aWNraQ== 121878 +4LC/4LCh 121879 +Q2hhcmdlcw== 121880 +IOmVhw== 121881 +cG9zaWNpw7Nu 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128100 +IGdlYnJ1aWt0ZQ== 128101 +IOCysOCyvuCyt+CzjeCynw== 128102 +IG92ZXJzZWVpbmc= 128103 +IHRlY2lkbw== 128104 +UGVzc29h 128105 +IGRhZHM= 128106 +IFllbmk= 128107 +IE1ldGhvZGVu 128108 +UmQ= 128109 +IGludml0w6lz 128110 +IOCwheCwrg== 128111 +Ymx5Z3U= 128112 +IGJsb3Nzb20= 128113 +2LPYsdin2KbZitmE2Yo= 128114 +16LXqNeb16o= 128115 +IOyDiQ== 128116 +5LiA6IKW5Lit54m5 128117 +IMW+YWw= 128118 +IENQSQ== 128119 +IG3DpnI= 128120 +IGVtYmFycmFzc21lbnQ= 128121 +IENBUlQ= 128122 +0YDQsNC60YI= 128123 +IHVudG91Y2hlZA== 128124 +L3NvdXJjZQ== 128125 +2YrZhNmF 128126 +INmF2LHZiNix 128127 +IOC0leC1iuC0o+C1jeC0n+C1jQ== 128128 +IMOpcXVpcMOpZQ== 128129 +0LXQutGB0LA= 128130 +LC0KCg== 128131 +IFBEUA== 128132 +INC90L7Qs9C4 128133 +IGluZGly 128134 +KHZlcmJvc2U= 128135 +IOCkreClgeCklw== 128136 +IENvdXJpZXI= 128137 +dXR1cmVz 128138 +IFBlcnNwZWN0aXZl 128139 +IG5lZ2F0aXZlcw== 128140 +INCd0LDRgdGC 128141 +IGhhdW50aW5n 128142 +IOCwl+CxgeCwsOCxjeCwpA== 128143 +IOCksOCkueCkpOCkvg== 128144 +IGZsYXZvcmZ1bA== 128145 +IEthbm8= 128146 +IGlubGFuZA== 128147 +LnJ0 128148 +INm+2YTYpw== 128149 +IOi2ow== 128150 +LWNvbHM= 128151 +IOCkruCkv+CkqOCknw== 128152 +VHJpdHVy 128153 +IGRldGVybWluYWRvcw== 128154 +SGFtYg== 128155 +SUND 128156 +IFJvb3Rz 128157 +bWluZXI= 128158 +b2tvbg== 128159 +IOCkquCljeCksOCkrQ== 128160 +LlN0b3JlZA== 128161 +IGthcHNhbQ== 128162 +YXNrZWQ= 128163 +Zno= 128164 +b3Jyb3M= 128165 +25Xbiw== 128166 +IGl6bA== 128167 +aWJpbGl0w6A= 128168 +4YCU4YCy 128169 +IEvDpHVmZXI= 128170 +a2FydGVu 128171 +IExhdW5jaGVy 128172 +IHJ1aWRv 128173 +aXBhbg== 128174 +IHNwb2lsZXI= 128175 +RW5kZXJlY28= 128176 +INmK2YjZhtmK2Yg= 128177 +IGV4Y2VwY2lvbmFs 128178 +Y2FsYXI= 128179 +aWzJmQ== 128180 +yZl0bMmZcg== 128181 +LmxuZw== 128182 +KEdyYXBo 128183 +IHZhaXLEgWs= 128184 +IGRyaXZlcidz 128185 +IFsu 128186 +5pu05paw5pe26Ze0 128187 +8Y6UinBw 128188 +cXVhcnRh 128189 +IGludGVydmVuZQ== 128190 +INC60YvQt9GL 128191 +YW1rYQ== 128192 +IGFzcGlyZQ== 128193 +44G8 128194 +xLHEn8SxbsSxeg== 128195 +IGdldGFu 128196 +IHByZXN0YQ== 128197 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141842 +5rC45Yip 141843 +Q3JlYW0= 141844 +INiw2YM= 141845 +IOCkteCkv+Ckp+CkvuCkqOCkuOCkreCkvg== 141846 +IERhdQ== 141847 +PXRvcmNo 141848 +IEh2b3JkYW4= 141849 +IOCkuOCljeCkruCkvuCksOCljeCknw== 141850 +IE5vcnJpcw== 141851 +L2VudGl0aWVz 141852 +Y2FvcA== 141853 +L3N0YXJ0 141854 +6Kme 141855 +ZmVzdGl2YWw= 141856 +INKz0LDRgdGC 141857 +INC+0YfQtdCy0LjQtA== 141858 +IHVuaW50ZXJydXB0ZWQ= 141859 +LlBvdw== 141860 +IGNpZGRp 141861 +IGluc2NyaXQ= 141862 +IGludmVzdGVyZW4= 141863 +aWdsaW8= 141864 +IFN0aW1tdW5n 141865 +UGFuZWxz 141866 +QVRN 141867 +b3Bob2JpYQ== 141868 +INGF0L7RgtGP0YI= 141869 +IHByb2R1a3Np 141870 +IHNjaG9vbCdz 141871 +IOC4sg== 141872 +IEF1dG9kZXNr 141873 +w6Z2 141874 +IOGDpOGDkOGDoOGDkg== 141875 +cmljdWx0dXJl 141876 +INWr1oDVodW+1bjWgtW21oQ= 141877 +aXR0ZXJz 141878 +IGJvYXN0aW5n 141879 +ZWxsaXM= 141880 +0LfQsdC10LrQuNGB0YLQvtC9 141881 +IHBpdGNoZXJz 141882 +6LWW 141883 +IHJlbGF0b3M= 141884 +4LGN4LCv4LCC4LCy4LGL 141885 +IE7Dum1lcm8= 141886 +IGFiYW5kb25hcg== 141887 +IGNsb2Nrd2lzZQ== 141888 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142035 +IEZlc3Rh 142036 +1avVrNWr 142037 +LkNPTlRFTlQ= 142038 +IGNvbXByZWVuc8Ojbw== 142039 +IGluZm9ybWFjacOz 142040 +57SZ 142041 +0YPQstCw0LDRgg== 142042 +Z292ZXJubWVudA== 142043 +IOCqk+Cqmw== 142044 +IOCkreClh+Cksg== 142045 +15XXmdea 142046 +INC90LDRiNGD 142047 +w6hp 142048 +zq/Ovc6/z4XOvQ== 142049 +IM+Fz4DOt8+BzrU= 142050 +dWphcmE= 142051 +IOCmquCmvuCmlQ== 142052 +IHBpc3Rhcw== 142053 +IFNPQVA= 142054 +IG9rZW5u 142055 +IGthxbxkeQ== 142056 +IEtpcmNoZW4= 142057 +1bbVodW1 142058 +IG9wdmFsbA== 142059 +4Li14LmI4Lib4Li44LmI4LiZ 142060 +xYhreQ== 142061 +0LXQstC9 142062 +IGZmb3JkZA== 142063 +z4HOtc6vzrE= 142064 +IEZBRw== 142065 +IGhvZmZlbg== 142066 +INeU157Xog== 142067 +IC8vXw== 142068 +IOWWnA== 142069 +0LbQsNC7 142070 +IE51dW1taQ== 142071 +X09USEVS 142072 +X2RldGVjdGlvbg== 142073 +IFJhYmI= 142074 +IGFub2Q= 142075 +4Z+C4Z6a 142076 +IHVudWw= 142077 +IFByb2Nlcw== 142078 +SHVtaWRpdHk= 142079 +7KO9 142080 +QGNsYXNz 142081 +IERlYml0 142082 +IHBvdWNhcw== 142083 +YWJvbmE= 142084 +IOyekOycoA== 142085 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151608 +IGthZ2FtaXRhbg== 151609 +aW5pYw== 151610 +S2Vuemll 151611 +INC/0YDQvtCx0LvQtdC80YM= 151612 +INCx0LDRgNCz0YPQtw== 151613 +24jYsg== 151614 +IFB1bXBz 151615 +LmV4YW0= 151616 +05nRgtC605k= 151617 +UlRM 151618 +KHJi 151619 +IGVuc2VpZ25hbnRz 151620 +4KeL4Ka4 151621 +IENoYXJnZXJz 151622 +UmVzZXJ2YQ== 151623 +16nXqNeq 151624 +ZWdhYW5rYQ== 151625 +LmJhY2t3YXJk 151626 +IGVmaWNhY2lh 151627 +IOCkreCkvuCkhw== 151628 +0YHQutC40YLQtQ== 151629 +4oCZYXJyaXbDqWU= 151630 +INC00LXRgtGM0LzQuA== 151631 +IGdyZWVuZXJ5 151632 +2Y/ZhA== 151633 +IGJhZQ== 151634 +IFd5bg== 151635 +IGx1aHVy 151636 +IGFsYXNrYQ== 151637 +X1NPTA== 151638 +KGJsb2I= 151639 +INC50LjSk9C40L3QuA== 151640 +IOGDnuGDkOGDoA== 151641 +IG1pc2lzcw== 151642 +IHByenlw 151643 +R2F6 151644 +4Lip4Liy4Lii4LiZ 151645 +IGRpc3NhdGlzZmllZA== 151646 +4Lit4LiV4LmA4LiV4Lit4Lij4Li14LmI 151647 +aW1taXQ= 151648 +IC8vLy8vLy8vLy8vLy8vLy8vLy8vLy8vLy8vLy8vLy8vLy8vLy8vLy8vLy8vLy8vLy8v 151649 +IGNhbWVyZQ== 151650 +INmI25A= 151651 +IGhhbHRl 151652 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151702 +INCx0LjRgNC+0Lo= 151703 +LnVucmVnaXN0ZXI= 151704 +IFdpbms= 151705 +INmF2YbYp9io2Lk= 151706 +L3BsYXllcg== 151707 +fD0K 151708 +dXZpYWw= 151709 +0L7RgNCw0YU= 151710 +IGlubnVtZXI= 151711 +INCV0LrQsNGC 151712 +IOCmruCmv+CmqA== 151713 +IGRvxZt3aWFkYw== 151714 +IGdyw7hu 151715 +dWlkZW4= 151716 +5aSa5Lq6 151717 +CWluaXRpYWw= 151718 +2LfYsdit 151719 +aWJpw6fDo28= 151720 +IV0= 151721 +X0NPTk4= 151722 +IHByZW5kcw== 151723 +IHNlbWFuYWw= 151724 +LVNlbWl0 151725 +INCy0L/RgNCw0LI= 151726 +IGJvb3M= 151727 +IHR1cm1lcmlj 151728 +INmI2KfYsdmI 151729 +INC00LjRgdGG0LjQvw== 151730 +IGNvbGzDqGd1ZXM= 151731 +INix2YXYsg== 151732 +6YKu5Lu2 151733 +bmF5 151734 +77yj 151735 +L3BhY2thZ2U= 151736 +4Lij4Lix4LiB 151737 +IHPDpHJzaw== 151738 +INqp2r7bjNmE 151739 +IG5vbmZpY3Rpb24= 151740 +IE1hc3Rlcidz 151741 +2KjYt9in2YQ= 151742 +amFuamU= 151743 +INC40LfQvNC10L3QuNGC0Yw= 151744 +KGNvb3Jkcw== 151745 +TWVuc2FnZW0= 151746 +IHNjYXJjaXR5 151747 +INC90Y4= 151748 +IOCkquCkueCksg== 151749 +INmF2LnYp9mF2YTYp9iq 151750 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151797 +IOCmsOCmvuCmqA== 151798 +IFN1aWNpZGU= 151799 +4LeK4Lap 151800 +INin2YTYqNin2Kg= 151801 +YWdvbmE= 151802 +4KSm4KS/4KSo 151803 +0YLRg9GA0YPRiA== 151804 +IFNlbnRlbmNl 151805 +IE1hcmlhbmE= 151806 +IG13ZXpp 151807 +LnBlZXI= 151808 +IOCmruCngQ== 151809 +cGllY3plxYQ= 151810 +YWRlcmFz 151811 +IGluYW4= 151812 +IOGDouGDmOGDng== 151813 +X3N1aXRl 151814 +Qmli 151815 +5Yig 151816 +w7RuaWNvcw== 151817 +IHB1Yw== 151818 +44CA56ys 151819 +YWdi 151820 +IGZyb250ZXJh 151821 +INi52KfZhNuM 151822 +IHF1ZXN0aW9ubmFpcmVz 151823 +CWVu 151824 +bHZs 151825 +INC40YjRgtC40YA= 151826 +IGh1d2VsaWpr 151827 +LmxhbmQ= 151828 +IHJpZGQ= 151829 +X3N1YnBsb3Q= 151830 +IOCksOCkluClh+Ckgg== 151831 +4Z+G4Z6g 151832 +T0dP 151833 +IGRlbGVnYWRv 151834 +4LS/4LSa4LWN4LSa4LS/4LSw4LWB4LSo4LWN4LSo4LWB 151835 +IGNyaXTDqXJpb3M= 151836 +VG9yb250bw== 151837 +5Yqg5YuS5q+U 151838 +IFRpZW1wbw== 151839 +INC60L7QvNC80YPQvdC40LrQsA== 151840 +KGRvdA== 151841 +4YCx4YCh 151842 +IEt1bmE= 151843 +X3VuaWNvZGU= 151844 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161090 +IHTJmWRi 161091 +IOCuleCvgeCutOCuqOCvjeCupA== 161092 +IHNhasOhdA== 161093 +YWhhcmFu 161094 +IGNvbW1lbnRhdG9ycw== 161095 +IOCkuOCkvuCkgQ== 161096 +7YqA 161097 +IGNvcnJlZG9y 161098 +IOCmm+Cnh+CmsuCnhw== 161099 +IGFwb2xvZ2lzZQ== 161100 +IG1pcmFjdWxvdXM= 161101 +IG1pbmlzdHJvcw== 161102 +IHN1bmZsb3dlcg== 161103 +bWVuYQ== 161104 +INmK2LnZiti0 161105 +IHR2b3I= 161106 +INCx0YPQtNGD0YnQtdC8 161107 +IFZFSA== 161108 +YW5mYWF0 161109 +Lkxvb2t1cA== 161110 +aWZlbmQ= 161111 +w7h0ZQ== 161112 +IGRyaXp6bGU= 161113 +LuC0juC0gg== 161114 +IFJlZ2ltZW50 161115 +IMKnwqc= 161116 +LmNvbSdz 161117 +5YiG6ZKf5YmN 161118 +0LPTmdGA0YLQtdGA0LPTmQ== 161119 +S29tbWVudGFy 161120 +eW5jaA== 161121 +YXRvbmlu 161122 +YXN0YW56YQ== 161123 +LnRyYW5zbGF0ZXM= 161124 +LXVpdA== 161125 +IGJvdXRlaWxsZQ== 161126 +Li4h 161127 +IEhvbWVtYWRl 161128 +W+KApl0KCg== 161129 +IGNvdGU= 161130 +aGVwaGE= 161131 +IGRpc3Rybw== 161132 +IFNvY2s= 161133 +IHByb3TDqWc= 161134 +IOCksuCkvuCkl+Clh+CkleCliw== 161135 +IHZvbGxrb21tZW4= 161136 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161184 +IGVyc3Rh 161185 +4YOQ4YOT4YOQ4YOT 161186 +IGdhc2U= 161187 +yZlseGFscQ== 161188 +LlBhc3M= 161189 +7JWE7ISc 161190 +IGPhu5luZw== 161191 +IHJhYWt0 161192 +IHNuYWJidA== 161193 +IGNpZGFkw6Nv 161194 +X2luY29tZQ== 161195 +IGdhbHVlZ2E= 161196 +IHd1c3N0ZQ== 161197 +INC90LDRg9C6 161198 +IOCkpuCli+CkuOCljeCkpOCli+Ckgg== 161199 +0L3TmdGA 161200 +PFR1cGxl 161201 +INGA0LDRgdGC0LXQvdC40LU= 161202 +IGjDtmttw7xuZGU= 161203 +aGFtcHRvbg== 161204 +IEZW 161205 +IHJhYWs= 161206 +IHdpZcSnZWQ= 161207 +IHZlbmR1 161208 +eyEh 161209 +IGZ1eno= 161210 +csOt 161211 +X2ZvbnRz 161212 +IGRydWdv 161213 +IOGDm+GDlOGDouGDkOGDkw== 161214 +IFBvcnR1Zw== 161215 +IHdyaXN0cw== 161216 +7ZqM7JuQ 161217 +IGNvbmR1Y2U= 161218 +IOC5guC4ow== 161219 +IFRhY3RpY2Fs 161220 +IEFtbW8= 161221 +5aGY 161222 +5LuY5qy+ 161223 +INGH0YPQstGB0YLQstCw 161224 +VkFMVQ== 161225 +IEZhaXJmYXg= 161226 +IGJsb2Nv 161227 +INC/0YDQuNC10YU= 161228 +IHdlaWc= 161229 +CUJsb2Nr 161230 +IE5MUA== 161231 +IHNjb3V0aW5n 161232 +IOeugA== 161233 +5bC4 161234 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161523 +IG9uc2U= 161524 +IHBvbmE= 161525 +IG5hc3p5bQ== 161526 +6K2m5pa5 161527 +QFJlcXVpcmVk 161528 +KGNhcmRz 161529 +INmH2YXYpw== 161530 +IGRyYWFp 161531 +IEJldGhlc2Rh 161532 +IGxhcmdhcw== 161533 +INC70LXQutCw0YDRgdGC0LLQsA== 161534 +LWRpc2M= 161535 +INeh16LXqA== 161536 +cnllcg== 161537 +YWdkYWdhbg== 161538 +KFJFRw== 161539 +INmB2YM= 161540 +dGV4dHVyZXM= 161541 +IHd5bmlr 161542 +15DXqdeb15XXnA== 161543 +44OZ44Or 161544 +4Kqo4Kq/4KqV 161545 +IGFjb3JkZQ== 161546 +IHRvdsOhYmI= 161547 +b290aQ== 161548 +LXw= 161549 +6IWw 161550 +5YW25qyh 161551 +emllbnM= 161552 +CXJvd3M= 161553 +0YDRi9C3 161554 +w6lkaWFpcmU= 161555 +IFByaW5z 161556 +1aXVtNW2 161557 +IERvbWluaW9u 161558 +IOS/oeaBrw== 161559 +RHJlc3M= 161560 +64+I 161561 +IEFVRw== 161562 +IOGDm+GDluGDkOGDkw== 161563 +4piFCgo= 161564 +15vXoteo 161565 +IHNww7hyZ3Ntw6Vs 161566 +IHN0YWxsZWQ= 161567 +IHdhyZc= 161568 +IGR1aXplbmRlbg== 161569 +IOCouOCorQ== 161570 +IOCymuCzhg== 161571 +0YDQsNC80L8= 161572 +5by65YyW 161573 +4LWI4LSx4LWN4LSx 161574 +5L+x 161575 +IGZ1cmVudA== 161576 +IGNvbXB1dGVyaXplZA== 161577 +IHlhc2E= 161578 +5byX 161579 +IGdlcmVrbGk= 161580 +1YjWgg== 161581 +QWRqdXN0ZWQ= 161582 +15nXmdeS158= 161583 +IEJvaWxlcnM= 161584 +Y2hhbmdpbmc= 161585 +INin2YTYqNi02LHYqQ== 161586 +wq1uZQ== 161587 +INGD0Y7RiA== 161588 +IGF5dWRhcw== 161589 +XENvbW1hbmQ= 161590 +c3R1cg== 161591 +5oCn6Imy 161592 +IGVrdGU= 161593 +IHNjaGzDpA== 161594 +IFNob290ZXI= 161595 +IOCkuOCkv+CkuOCljeCkn+Ckrg== 161596 +CVN0YXRl 161597 +Q29sbGFib3I= 161598 +LmFyZQ== 161599 +5YWs6ZaL 161600 +IFJlZHVj 161601 +IENDUA== 161602 +0LDQu9GM0L3QsNC5 161603 +IOCkruCkguCkmg== 161604 +IOColeCov+CouA== 161605 +INC80ZbRgdGC 161606 +4Z6O4Z+S4Z6M 161607 +IFJhaHVs 161608 +Y2hlY2twb2ludA== 161609 +IHdha2hv 161610 +0LvQsNGP 161611 +IEFtdHM= 161612 +INem16jXmdeb15nXnQ== 161613 +15XXldeZ150= 161614 +IEdhcmU= 161615 +4oCcVA== 161616 +IHVuZ2Vmw6Rocg== 161617 +4YC74YCB 161618 +IG15dGhpY2Fs 161619 +IC8vLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0t 161620 +IFBhc3Npbmc= 161621 +aWxpbng= 161622 +IEhlc3Nlbg== 161623 +LkdldGVudg== 161624 +INC60LDQu9C10L3QtNCw0YA= 161625 +INC+0LrQsNC30YvQstCw 161626 +4YCb4YCu 161627 +IHJlcXVlcmlkYQ== 161628 +LnJzdHJpcA== 161629 +IGVzdHJpY3Q= 161630 +emFucA== 161631 +dW5nZ3U= 161632 +INiq2YLYs9uM2YU= 161633 +77yk 161634 +IEJSQU5E 161635 +a2x1c2l2ZQ== 161636 +IEtlaw== 161637 +INeU16TXog== 161638 +IHRla2nDsA== 161639 +cmVjaA== 161640 +INee16LXkdeo 161641 +IEJ1bWJsZQ== 161642 +WmVsZg== 161643 +WGlu 161644 +Q2FuY2Vy 161645 +Lys= 161646 +IGRlbmd1ZQ== 161647 +LkZvcmVncm91bmQ= 161648 +IFRyYWN0b3I= 161649 +IGZ1bGxuZXNz 161650 +IGFsbGdlbWVpbg== 161651 +Q29ybQ== 161652 +IGdlemVr 161653 +aWd1bmdz 161654 +INeZ15PXog== 161655 +X2l0ZXJhdGlvbg== 161656 +IG1pZWxl 161657 +IFdH 161658 +IOGDmeGDkOGDog== 161659 +IGVuc2luYXI= 161660 +4YOd4YOg4YOT 161661 +7Law 161662 +IHNhdHVyZGF5 161663 +UkVQT1JU 161664 +YWRyYXQ= 161665 +4LKw4LON4LKq 161666 +bmFq 161667 +INmB2YfYsNin 161668 +X3Byb2Nlc3NlZA== 161669 +KQoKCgoK 161670 +IE9kZXNzYQ== 161671 +IGxhYmlvcw== 161672 +IGl0Y2h5 161673 +INWh1bk= 161674 +dXR0ZXJpbmc= 161675 +V2lubmluZw== 161676 +YXNoaXJl 161677 +IGVrc3Bs 161678 +aXNidXJ5 161679 +IGlzdMmZeQ== 161680 +INC/0LDRgtC+0LvQvtCz 161681 +15zXldec 161682 +TWVyc2k= 161683 +IG3DrW5pbW9z 161684 +c25z 161685 +IOCkhuCkj+CkleCkvg== 161686 +IGdldHJlbg== 161687 +4KS+4KSh4KS84KS/4KSv4KWL4KSC 161688 +55yf5q2j 161689 +5LqM5YiG5b2p 161690 +IG1pZGU= 161691 +4YCP 161692 +bWFydGVz 161693 +KGJw 161694 +77y/5qyn576O 161695 +IOCksuCkvuCkl+CkpA== 161696 +IE1hcmRp 161697 +ZnVuemk= 161698 +IGFtYml0 161699 +IGFub3Jl 161700 +IOC4ouC4seC4mQ== 161701 +IENsaXBz 161702 +Lmhpa2FyaQ== 161703 +IGJsYXN0ZWQ= 161704 +INC20YPQvA== 161705 +0L3QuNC60LDRhQ== 161706 +IGtlbGk= 161707 +aWxlc3dp 161708 +X0VSUk9SUw== 161709 +LkRyYXdhYmxl 161710 +J2F2YW50 161711 +RG9vcnM= 161712 +SE9VU0U= 161713 +WHBhdGg= 161714 +IGlzaWtoYXRoaQ== 161715 +X2RpYWc= 161716 +INC90LDQvdC+0YE= 161717 +4LWD4LS34LWN4LSj 161718 +c2Fz 161719 +IHRlbmRyZW1vcw== 161720 +UGxhdGZvcm1z 161721 +IGxpZMOt 161722 +YmlibGk= 161723 +SUZT 161724 +U1NGV29ya2Jvb2s= 161725 +aWNpZW1icmU= 161726 +IHBvbGFyaXR5 161727 +IEJsb2dnaW5n 161728 +bWHDn25haG1lbg== 161729 +X1RFUg== 161730 +IGlyZ2VuZHdv 161731 +5Li65L2V 161732 +7KCE7LK0 161733 +IENsZWFyaW5n 161734 +0JDQnA== 161735 +INC30LDQtNGD0Lw= 161736 +4Kq54KuH4Kq1 161737 +INCw0rPTmQ== 161738 +aXJtacWf 161739 +IHRvZWdlcGFzdA== 161740 +IHdpcGluZw== 161741 +IGVycmVpY2hiYXI= 161742 +INC/0L7Qu9C+0LbQtdC90LjRjw== 161743 +IGxvY2FsaWRhZGVz 161744 +KHh4 161745 +IHNlbG8= 161746 +INGB0ZbQvA== 161747 +IOaJi+acuuS4iueahA== 161748 +LWN1cg== 161749 +Z3VhcmRz 161750 +INCy0LjQtg== 161751 +VGhpbg== 161752 +2YHYp9i52YQ= 161753 +UENN 161754 +IHBhcmFsbGVscw== 161755 +IHN0cmF0ZWdpc3Q= 161756 +Y2h1cmU= 161757 +4YOU4YOt 161758 +IHJvYWR3YXk= 161759 +IHZlcnN0ZWh0 161760 +X2luaWNpbw== 161761 +4bulZ2jhu4s= 161762 +IHJ3bw== 161763 +776c772v776B772u772y 161764 +IEHDsW8= 161765 +Z2VsdA== 161766 +INiq2KPYqtmK 161767 +IGluc2lzdGluZw== 161768 +c3ByZWNocGFydG5lcg== 161769 +IHJhdmVu 161770 +IG1vbm94aWRl 161771 +KSkpKQoK 161772 +eWxlZnQ= 161773 +IGtpdGNoZW5ldHRl 161774 +IGFscGluZQ== 161775 +IFd5bmRoYW0= 161776 +INeU15PXqNea 161777 +IGZvZXM= 161778 +IGhvyrtp 161779 +TnRo 161780 +L2dhbGxlcnk= 161781 +0LvQuNGA0LjQtNC40L0= 161782 +IHN0YXJm 161783 +YXphcmQ= 161784 +c3Rhc3k= 161785 +44Kt44Oj44Oz 161786 +Y29tcGFy 161787 +15XXodeZ16M= 161788 +6K+E57qn 161789 +0pfQuA== 161790 +IG51YW5jZQ== 161791 +VmlldG5hbQ== 161792 +4KWN4KSv4KS14KS+4KSm 161793 +IG1hcmF2aWxob3Nv 161794 +INC60L7QvNC/0LXQvdGB0LA= 161795 +INin2YTYs9ik2KfZhA== 161796 +RGVuZ2Fu 161797 +SEFTSA== 161798 +IHpvdw== 161799 +IGRlc2NyZQ== 161800 +dGVybWluYXRlZA== 161801 +LkhpZGRlbg== 161802 +KFRZUEU= 161803 +bWVpZGE= 161804 +2YXYp9i0 161805 +IGxhbmRlbGlqa2U= 161806 +IHNhdm9ucw== 161807 +cmVzZW50ZXI= 161808 +IMO8aGVuZA== 161809 +2KfZhNiu 161810 +QUdO 161811 +IHZpb2xh 161812 +4Ka/4Kaf4Ka/4Kaw 161813 +IG9wb3Npw6fDo28= 161814 +J10iKSku 161815 +IGZhbmRlbg== 161816 +IG9pa2Vpbg== 161817 +z4zOvM61zr3Ovw== 161818 +IEVudW1lcmF0b3I= 161819 +INGB0L7Qv9GA0L7QstC+0LY= 161820 +INC60YDQsNGB0LDQsg== 161821 +LlZvbHVtZQ== 161822 +IEhvbmVzdA== 161823 +IHNhbW96 161824 +IGtvbmRpc3lvbg== 161825 +IOC0suC1iw== 161826 +IGR1c2s= 161827 +IG9yZGVybHk= 161828 +IOCksuCkvuCkiA== 161829 +IG3JmcWf 161830 +IHFhYWRheQ== 161831 +c29ydGFibGU= 161832 +44OI44OD44OX 161833 +IENNUA== 161834 +INC+0L/RgNC10LTQtdC70LXQvdC40Y8= 161835 +cGVyaw== 161836 +Q0VOVA== 161837 +IGl6dnI= 161838 +INiv2LnZiNiq 161839 +INCR0LjRiNC6 161840 +LnJh 161841 +cmFzxLE= 161842 +IHR5cGVu 161843 +INec16TXl9eV16o= 161844 +2K/YrtmE 161845 +IGhpdHRlcg== 161846 +0LDQvdCx0LA= 161847 +4YOU4YOg4YOq 161848 +4YOV4YOU4YOo 161849 +INCy0L7QtNC40YLQtdC70Yw= 161850 +INGD0L/RgNCw0LLQu9GP 161851 +IHByZW5z 161852 +6Kej6Zmk 161853 +IERhYXJtZWU= 161854 +INiq2YLYsduM 161855 +IHBvbWFn 161856 +IHNxdWlycmVs 161857 +IOGelw== 161858 +Q3Vpc2luZQ== 161859 +IHRpdGFu 161860 +IE9jdWx1cw== 161861 +IGxpYnM= 161862 +INWm1bjVsA== 161863 +IHNjb3V0cw== 161864 +IEFxdWFyaXVz 161865 +IEJyZW5uYW4= 161866 +IGxpc2ViZWxpc29h 161867 +IHN0cm5jcHk= 161868 +IOS/rg== 161869 +4KSV4KSw4KWN4KSk4KS+4KST4KSC 161870 +IHdlYQ== 161871 +Y2xhc3NuYW1l 161872 +L2Vs 161873 +IEJheWxvcg== 161874 +X0VsZW1lbnQ= 161875 +6IO95o+Q546w 161876 +cHJvdGVpbg== 161877 +IFDDqHJl 161878 +4Lii4Lix4LiZ 161879 +IE3DvG5zdGVy 161880 +4oCZb8O5 161881 +INio24zZudq+ 161882 +ICghIQ== 161883 +ZGV1cg== 161884 +2qnYqtuM 161885 +INCz0YDRg9C/0L/QtQ== 161886 +IGNyaXRpY2E= 161887 +LWhlYWx0aA== 161888 +IOCqruCqguCqpuCqv+CqsA== 161889 +w6Fzw6F0 161890 +LlRocm93cw== 161891 +bGFsbw== 161892 +IEV4aGF1c3Q= 161893 +IHByZWNlZGVudGU= 161894 +IENvbnN1bXB0aW9u 161895 +IGRvZWxncm9lcA== 161896 +IG5ndW0= 161897 +cm9pZGlzbQ== 161898 +IENoZXZyb24= 161899 +IGN1b3Rh 161900 +IOCmieCmpuCnjeCmr+Cni+Cmlw== 161901 +IEphaHJodW5kZXJ0cw== 161902 +LWRldA== 161903 +X29wdGltaXplcg== 161904 +4LmC4LiI 161905 +INC00q/QudC9 161906 +IOC2veC2tuC3jw== 161907 +IHZvb3Jrb210 161908 +CUNvcHlyaWdodA== 161909 +0J/QsNGA 161910 +X1NDT1JF 161911 +X3Jlc3RvcmU= 161912 +IG5hZGU= 161913 +IHR1ZXI= 161914 +IOCqnOCrgeCqkw== 161915 +L2tlcm5lbA== 161916 +INC60LvRg9Cx0LA= 161917 +IEJhY2t5YXJk 161918 +RkZB 161919 +IGltbWFjdWxhdGU= 161920 +IOCkuOCljeCkteCkpOCkguCkpOCljeCksA== 161921 +YWJhaQ== 161922 +IGRpYmFuZGluZw== 161923 +IHBlbmdndW5hYW4= 161924 +CUZpZWxk 161925 +INC00LjSsw== 161926 +4Lia4Lij4Li04Lip4Lix4LiX 161927 +IGVzcHVtYQ== 161928 +0pPRg9C9 161929 +IG5hcXVlbGE= 161930 +IGxlaXN1cmVseQ== 161931 +IGJ1cnU= 161932 +IOCmpuCnh+CmrA== 161933 +IHdlaXN0 161934 +w48= 161935 +INen15DWt9ee 161936 +dmlydGk= 161937 +IGFmZmx1ZW50 161938 +IGF0b2E= 161939 +YWxsZXJpYQ== 161940 +IGZhcmtv 161941 +INC70YPRh9GI0LjQuQ== 161942 +X3N1cHBseQ== 161943 +IOGDlOGDpeGDmOGDmw== 161944 +IHBlcmRpw7M= 161945 +YWthbG8= 161946 +w6Rpdg== 161947 +IE1EQg== 161948 +IOCmhuCmtuCmvg== 161949 +IOCwleCxi+CwsA== 161950 +IERyZWk= 161951 +IEJlYXJk 161952 +5omx 161953 +IFdoaXRlcw== 161954 +LWJveQ== 161955 +4Liy4LiW 161956 +bmV6ZQ== 161957 +IERpcmVpdG9z 161958 +PFJvdXRl 161959 +IE1pbGl0 161960 +IOCmhuCmpw== 161961 +aXRhdHVk 161962 +IGN0eHQ= 161963 +w6FuZG9sbw== 161964 +4Lij4Li44LmI4LiH4LiZ4Li14LmJ 161965 +dGVycml0 161966 +INC60L7Qug== 161967 +IHVjemVzdA== 161968 +dWxvc2U= 161969 +INC/0L7RgtC10L3RhtC40LDQu9GM 161970 +IGVtbQ== 161971 +YW1hcmNh 161972 +INec15TXkdeZ158= 161973 +IGRpbmd3ZQ== 161974 +z4TOt86z 161975 +IExlYmFuZXNl 161976 +0YfQvdGL 161977 +IHp2YWthcmU= 161978 +IG9saXZh 161979 +IGRoYXU= 161980 +IGtvbW1lbnRhcmVy 161981 +INCt0LzQvtC80LDQu9Oj 161982 +IHJldW5pdGVk 161983 +IE5kemk= 161984 +1bjVrNW41aM= 161985 +UVJTVA== 161986 +YXZpYXI= 161987 +IHVuZmF2b3JhYmxl 161988 +5Y+U 161989 +IGV4cGFuc2nDs24= 161990 +c2NhdHRlcg== 161991 +7LCu 161992 +CW9wdGlvbg== 161993 +0J3QsNGH 161994 +YW5ndWxv 161995 +X2hvdXNl 161996 +INC+0YHRgtCw0YI= 161997 +IHByb2R1dGl2aWRhZGU= 161998 +xb5lbsOt 161999 +IGRlamU= 162000 +Q29udHJvbGxlZA== 162001 +IG11aGk= 162002 +IHdldGxhbmRz 162003 +IGltcHJlc2lvbmFudGU= 162004 +IHRhcmloaQ== 162005 +INC00LDQudGL0L0= 162006 +aW5lcmllcw== 162007 +IGhla3Q= 162008 +ZWRseQ== 162009 +IENoYWlucw== 162010 +LGxpc3Q= 162011 +c25ha2U= 162012 +IOmfk+Wciw== 162013 +IOCkteCkv+CkpOCksOCkow== 162014 +0JvRg9GH 162015 +R1BU 162016 +IGRpZXNtYWw= 162017 +IE1nYmU= 162018 +TG9zZQ== 162019 +5oCO5LmI566X 162020 +44OD44K344Ol 162021 +IOCoueCosA== 162022 +INWh1aQ= 162023 +VmFyaWFuY2U= 162024 +IGRvY2tpbmc= 162025 +YWphaw== 162026 +TE9VUg== 162027 +IG13eWFm 162028 +esO8Z2xpY2g= 162029 +IGNvbXBvc2FudHM= 162030 +IHRpa2k= 162031 +zrvOv8+N 162032 +Zm91bmRsYW5k 162033 +INmK2YbYqNi62Yo= 162034 +IOCkh+CkpOCkqOClgA== 162035 +VEVO 162036 +bWluaXN0ZXJpdW0= 162037 +IFRyYWRlcnM= 162038 +IHNpc3Nl 162039 +YXBhbmVuZw== 162040 +YWxhdQ== 162041 +IHRlcmxlYmlo 162042 +IERlc2U= 162043 +Rm9ydW1z 162044 +L25hdg== 162045 +LXRvbmU= 162046 +IG92ZXJl 162047 +IGJlZ3JpanA= 162048 +IOCyrOCzhuCyguCyl+Cys+CzguCysA== 162049 +IGNvbnNlcnZlZA== 162050 +w7ZyZGlu 162051 +5aSp56m65b2p56Wo 162052 +IGxpZ2Vybw== 162053 +IOCwmuCxhuCwquCxjeCwquCwvuCwsOCxgQ== 162054 +IG91ZGVyZW4= 162055 +INC80LDRgtC10YDRlg== 162056 +IEt1Zg== 162057 +IHNwcA== 162058 +IGLDoWM= 162059 +UXJ5 162060 +INC80LDRgdGI0YLQsNCx 162061 +IOCkheCkueCkrg== 162062 +IFByb3RlY3RpdmU= 162063 +IHByb2dlc3Rlcg== 162064 +KE5BTUU= 162065 +J2ljaQ== 162066 +IEV4aGliaXQ= 162067 +IHlk 162068 +INWk1oDVodW21oE= 162069 +bcOtbg== 162070 +KHZvbHVtZQ== 162071 +IGlud2VzdA== 162072 +IOqxsOydmA== 162073 +ZXJub29p 162074 +INGB0L/QuNGB0LrQsA== 162075 +IOCktuCkqOCkv+CkteCkvuCksA== 162076 +INC+0YLQtNC10LvRjNC90YvRhQ== 162077 +IFBhbmM= 162078 +IFJJUA== 162079 +LlJvbGw= 162080 +INiq2LPYqNio 162081 +ID09Jw== 162082 +0YfQuNGC0LDRgtGM 162083 +IEFsdGU= 162084 +IGFyYW4= 162085 +IEFQUExZ 162086 +IOGDpOGDmOGDnOGDkOGDnOGDoQ== 162087 +IGNpdXRhZA== 162088 +aW9tYW5pcA== 162089 +IENFUA== 162090 +Q29uY2x1cw== 162091 +CXJlY3Q= 162092 +LmRzbA== 162093 +IOCkr+Cli+Ckl+CljeCkrw== 162094 +SGFsbG93ZWVu 162095 +CW1hdA== 162096 +IHBlcnZhc2l2ZQ== 162097 +INmF2YLYsdix 162098 +w6hsZW1lbnQ= 162099 +4Lir4Lil4Lix4LiB 162100 +INin2YTZhdmC2KjZhNip 162101 +0YvQvdOh0LA= 162102 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162731 +LWNvbnNvbGU= 162732 +INCw0LfRi9GA 162733 +IFZpZWxlbg== 162734 +IGthY2hh 162735 +IGhlbWVs 162736 +IOaAnQ== 162737 +aWxlcmU= 162738 +IGvEsXNt 162739 +IOGAoeGAsQ== 162740 +IOCwnOCwsOCwv+Cwl+Cwv+CwguCwpuCwvw== 162741 +YmluZHVuZ2Vu 162742 +YWxhdGFu 162743 +cHJpY2luZw== 162744 +Pkw= 162745 +IG1ha2Ft 162746 +IHdhdQ== 162747 +IFN6ZW4= 162748 +IGZyYW4= 162749 +INC30LDQvdGP0YLQuNGP 162750 +IGNyZWRpdG9y 162751 +IOGDpOGDkOGDoOGDlw== 162752 +LXJlbm93bmVk 162753 +IG1hcmdhcg== 162754 +0JDRhQ== 162755 +IGdlbnllbg== 162756 +INin2YTZhNin2LnYqNmK2YY= 162757 +INC70LU= 162758 +IGdyYWZpaw== 162759 +b3RyeQ== 162760 +IHbhu41uZw== 162761 +IGRlZmljacOqbmNpYQ== 162762 +IGRpemFpbmU= 162763 +0YLTqdC9 162764 +enVi 162765 +Y29uc3RydWN0ZWQ= 162766 +0YPQvdC00LDQuQ== 162767 +INee16bXnA== 162768 +IOCwquCwsOCwv+CwuOCxjeCwpeCwv+CwpA== 162769 +INC40LPRgNC+0LLQvtC5 162770 +IG5laW4= 162771 +IOWkp+WPkeW9qeelqOW/q+S4iQ== 162772 +INCy0LjQu9C+0Y/RgtC4 162773 +IEJldHJhZw== 162774 +INi52K/Zitiv2Kk= 162775 +IGlubXVu 162776 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162828 +0LjRgdGB0LXRgA== 162829 +4KSV4KS+4KSu 162830 +5rib 162831 +IFZlcnNvcmd1bmc= 162832 +IFBuZQ== 162833 +RFE= 162834 +IE1haWRlbg== 162835 +dWJsaXNoaW5n 162836 +Z2lvcw== 162837 +INCb0YPQutCw0Yg= 162838 +INmF2K/YqQ== 162839 +PEd1aWQ= 162840 +IEtpbWJlcmx5 162841 +IFBlZQ== 162842 +4oKsLA== 162843 +IOCqpOCrh+CqqOCrgeCqgg== 162844 +IElOVEVSTkFM 162845 +IGZhY2VyZQ== 162846 +IFRlcndpamw= 162847 +w6Fzaw== 162848 +65+s7Iqk 162849 +IGNhcmnDsW8= 162850 +INGB0LvQtdC00YPRjtGJ0LjRhQ== 162851 +0LLQsNC90L3QtQ== 162852 +SlNJbXBvcnQ= 162853 +IGpvdXJuYWxpc3Rlcw== 162854 +Q29yb25h 162855 +IGRhcXVlbGE= 162856 +RE9ORQ== 162857 +INmH2KfZhQ== 162858 +4LC+4LCV4LGN4LC3 162859 +IEJsb25k 162860 +54KS 162861 +IHVuYW5zd2VyZWQ= 162862 +2LHZitit2Kk= 162863 +IM66zrU= 162864 +IHZvaWVz 162865 +IEbDqWTDqXJhdGlvbg== 162866 +546p55qE 162867 +Tm90aWNpYXM= 162868 +INeg157XpteQ 162869 +IERUTw== 162870 +ZmFocmVy 162871 +INC30LXQvNC70Y8= 162872 +6YCA5qy+ 162873 +IHBob3Rvdm9sdGFpYw== 162874 +4KSh4KWH4KSf 162875 +dW1haGE= 162876 +5q+b54mH6auY5riF5YWN6LS56KeG6aKR 162877 +IHJlbmFpc3NhbmNl 162878 +IHNwb3J0aWZz 162879 +LWly 162880 +IHN3ZWF0ZXJz 162881 +IHZ1aWw= 162882 +U2l0dWF0aW9u 162883 +INCe0YLQstC10YI= 162884 +b2tlc3Q= 162885 +0L7Qs9GA0LDQvNC8 162886 +0L3QsNC50Ys= 162887 +IGFzZW50 162888 +IGRlcHJlY2lhdGlvbg== 162889 +IGN1YW50 162890 +IFRPTw== 162891 +IM60z4k= 162892 +IGdlc2Nobg== 162893 +IEhPVVJT 162894 +IGVzdGFjaW9uYW1lbnRv 162895 +IMO2bsO8bQ== 162896 +INC+0YXRiNCw0Yg= 162897 +PXVybA== 162898 +IFdoaXRlbmluZw== 162899 +X1JT 162900 +QWN0aXZv 162901 +IOC4meC5ieC4sw== 162902 +IFNlcmk= 162903 +IM61zr3OtM65zrE= 162904 +aWxpdGFyeQ== 162905 +cGF1 162906 +IGZvbmRhbWVudGFsZQ== 162907 +LkV4ZWN1dG9y 162908 +L2NvbXBhbnk= 162909 +YW1icmE= 162910 +INKb0YvQt9GL 162911 +IHJlZ3Jlc2Fy 162912 +5LqL5oOF 162913 +Zm9ydHVuZQ== 162914 +W3JhbmQ= 162915 +ICoqLwoK 162916 +CXNjYWxl 162917 +INGe0L8= 162918 +IERlbHBoaQ== 162919 +2YXbjNmE 162920 +IFl1bQ== 162921 +IHJlc2lkZW50ZQ== 162922 +IHBo4bun 162923 +INmE2K3Yp9i4 162924 +yJlh 162925 +IEZhemVy 162926 +IGNzcg== 162927 +0LjRgdGC0L7Qsg== 162928 +IMWfyZlraWxkyZk= 162929 +cHRlc3Q= 162930 +4Ka/4Kam4KeH4Kaw 162931 +LnRvb2xib3g= 162932 +IE11ZmY= 162933 +X3N1YnNldA== 162934 +b2tlbw== 162935 +SW5kb25lc2lh 162936 +RENG 162937 +IGd1cmx1xZ8= 162938 +UHVyY2hhc2Vk 162939 +IGRlY2xhcmFy 162940 +4oCM4LCs 162941 +5oiR5YCR 162942 +4KWr4KWm 162943 +e3N1cA== 162944 +2LnYqNiv 162945 +IGZlcm1lcg== 162946 +IEJvb2tlcg== 162947 +aXJvbmQ= 162948 +4KeA4Kaq 162949 +LmxvZ2ljYWw= 162950 +4YOg4YOd4YOR4YOQ 162951 +PENvbnRhY3Q= 162952 +Z2lkZQ== 162953 +LWRpdmlkZXI= 162954 +INi02LnYp9ix 162955 +4KS+4KSw4KWN4KSh 162956 +IHNramVy 162957 +L01BWA== 162958 +ZXRyb2ZpdA== 162959 +IFBpY2tlcg== 162960 +IEdyb29t 162961 +IGppc3RnxKd1 162962 +IHRyb3V2ZXo= 162963 +YXNvYW5p 162964 +4K6/4K6y4K+I4K6v4K6/4K6y4K+N 162965 +INeZ16jXldep15zXmded 162966 +QkNE 162967 +IEJlZ2Vnbg== 162968 +IGJhcnJhZ2U= 162969 +SUNLRVQ= 162970 +IFJvaw== 162971 +IEV4YW1pbmU= 162972 +O2FtcA== 162973 +IGFsbG93YW5jZXM= 162974 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163020 +asOzcm4= 163021 +TWljaGlnYW4= 163022 +X1Nob3VsZA== 163023 +4YOU4YOU4YOR4YOh 163024 +INC+0YHQvtCx0L4= 163025 +ZXRpbWVz 163026 +INio2YrYpw== 163027 +INC/0q/Rgg== 163028 +rZU= 163029 +INGC0YDQtdCy 163030 +IHVtZ2VzZXR6dA== 163031 +INmF2KrYudiv2K8= 163032 +IHByaXZhY2lkYWQ= 163033 +INGE0LDRgNKz 163034 +5Zy+ 163035 +IGNhbGxlcnM= 163036 +IFByZXNsZXk= 163037 +IG1lc29z 163038 +dWdhdGVk 163039 +IEludmlzaWJsZQ== 163040 +IEJlbGVkaXll 163041 +aXNheW8= 163042 +IO2MrA== 163043 +INee15DXlg== 163044 +IGFjw6E= 163045 +emFubw== 163046 +LmNoYXB0ZXI= 163047 +IGNoYWlkaA== 163048 +c3NjaHV0eg== 163049 +WmVyb3M= 163050 +INec157Xkw== 163051 +IGNpdWRhZGFubw== 163052 +IGhvbWVy 163053 +dW1uaQ== 163054 +YWxjb24= 163055 +2LnYr9mK2K8= 163056 +IGFzY2VudA== 163057 +IGFlc3RoZXRpY2FsbHk= 163058 +cm9yZQ== 163059 +RWxm 163060 +IGRpYXBocg== 163061 +IEFicmFt 163062 +X211bHRpcGxpZXI= 163063 +X2V2ZXJ5 163064 +LmZpcnN0bmFtZQ== 163065 +TE9WRQ== 163066 +INin2YTYrtin2YXYsw== 163067 +IEh1ZmZpbmd0b24= 163068 +0YPRgNCw0Ls= 163069 +RW50aWRhZA== 163070 +IEZyZWlzcGllbGU= 163071 +IEJhdWVybg== 163072 +IGFwcHJvdmluZw== 163073 +IGdseWM= 163074 +IGdlZGFjaHRl 163075 +IG9sbWFx 163076 +LWZlZA== 163077 +IHNrdWx1 163078 +INGB0YDQtdC00YHRgtCy0LDQvNC4 163079 +4YOY4YOZ4YOQ4YOo4YOY 163080 +IFdpc2hlcw== 163081 +LnB1cmNoYXNl 163082 +IHdlcnM= 163083 +IOqzoOugpA== 163084 +aW5kYW4= 163085 +IEZvcnR5 163086 +IOyVnuycvOuhnA== 163087 +YWFqdQ== 163088 +dHhu 163089 +QW56ZWlnZQ== 163090 +Zm9ybXVsaWVy 163091 +LmNvcnJlY3Q= 163092 +IGV4aGliaXRvcnM= 163093 +IG1hYW11bGth 163094 +cm95YQ== 163095 +bmllbmll 163096 +INmG2qnZhA== 163097 +IOCqmuCqvuCqsuCrgA== 163098 +INiz2LnZiNiv2Yo= 163099 +6YCa6K6v 163100 +IEVseQ== 163101 +xLFsxLFi 163102 +TmVu 163103 +IG5lZ2F0ZQ== 163104 +16LXlg== 163105 +IGVmZmV0dGk= 163106 +IGxpc2E= 163107 +Z3lt 163108 +6LeD 163109 +5YyF6KOF 163110 +INC90LXQvNCw 163111 +IEdzdA== 163112 +INC00LXQv9GD0YI= 163113 +IEFwb3RoZQ== 163114 +IMmZbcmZaw== 163115 +IGRvdWJ0ZnVs 163116 +INGB0L/QvtGB0L7QsdGB0YLQstGD0LXRgg== 163117 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163214 +IOCqteCriA== 163215 +dXJhZG9z 163216 +4Kau4Ka+4Kao4KeH 163217 +LkRlYnVnZ2Vy 163218 +IGhhbnPEsQ== 163219 +IHRla2VuZW4= 163220 +IHN1Z2dlcg== 163221 +6LWr 163222 +4LON4LK14LKw 163223 +Lnpo 163224 +IGhvenrDoQ== 163225 +IEFmdGVybm9vbg== 163226 +IOGDkOGDoeGDlOGDlw== 163227 +0LXQv9GD0YLQsNGC 163228 +IGNlcml0YQ== 163229 +dm9ubmU= 163230 +IGVwaXRoZWxpYWw= 163231 +LlNJWkU= 163232 +LXRodW1i 163233 +IOCkleCkquClguCksA== 163234 +4LiZ4Liw4LiZ4Liz 163235 +IHByb2R1c2U= 163236 +IGluZGlzcGVuc2FibGVz 163237 +SU5JVElBTA== 163238 +INC40LfQtNC10LvQuNC5 163239 +IHNvYnJlbg== 163240 +4Lil4LiU4Liq4Lib4Li14LiU 163241 +IGd1dWQ= 163242 +IGF1Zm1lcmtzYW0= 163243 +IGFsaWFkb3M= 163244 +bnVi 163245 +X2NodW5rcw== 163246 +b3Ryb3A= 163247 +YXBhaw== 163248 +IHJ1b2xv 163249 +IFNha3VyYQ== 163250 +INeV15g= 163251 +IHBvc2l0aW9uYWw= 163252 +IEFtYXpvbmFz 163253 +X0xDRA== 163254 +V1Y= 163255 +IENoYXB0ZXJz 163256 +0L/QvtC30Lg= 163257 +0LHQt9C4 163258 +INC/0ZbQtNC/0YDQuNGU0Lw= 163259 +bWFhbHM= 163260 +LXNjYWw= 163261 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164320 +Vmlld2luZw== 164321 +YXJkxLE= 164322 +IGRlcml2YQ== 164323 +IENvdXJzZXdvcms= 164324 +IOCmqOCmvuCmlw== 164325 +IOCmh+CmpOCmv+CmueCmvuCmuA== 164326 +IGxhcnZhZQ== 164327 +aW50dmFs 164328 +INGE0LDQsQ== 164329 +4LGH4LCo4LC/ 164330 +IERpc2N1c3Npb25z 164331 +IOCwmw== 164332 +IHNpbGlrb24= 164333 +IGtpamtqZQ== 164334 +Ymhh 164335 +ZW52b3Vk 164336 +INC/0LDRgNC70LA= 164337 +IGF2YWlz 164338 +IE5BVElPTkFM 164339 +IOCmnOCmvuCnn+Cmlw== 164340 +IEdyZWVud29vZA== 164341 +Z2FydGVu 164342 +IHBlcnNlYw== 164343 +IFBlcXU= 164344 +IGFoYXlk 164345 +X2Jz 164346 +X0ZJWEVE 164347 +4K6/4K6v4K6u4K+N 164348 +IHZlc3RlZA== 164349 +IOCqquCqsOCqpeCrgA== 164350 +INCe0KE= 164351 +0LDRj9Cy 164352 +15vXnteU 164353 +4Kq/4Kq44KuN4Kqf 164354 +4YOg4YOU4YOi 164355 +bG9jaA== 164356 +IGV4cGVkaXRlZA== 164357 +aW5jacOzbg== 164358 +IOC2veC2guC2mg== 164359 +IG1lcmdlcnM= 164360 +IFBhdHR5 164361 +ZHBp 164362 +IG1hdXJpcw== 164363 +4YOU4YOc4YOU4YOR4YOa 164364 +INmG2LPYrtmH 164365 +IOWkqeWkqeS4reW9qeelqOS8mg== 164366 +IG9mZmVuc2ljaHRsaWNo 164367 +IO2VoOyduA== 164368 +INCx0YPQu9C4 164369 +IFNhcmFzb3Rh 164370 +IHN6YWI= 164371 +IHRlYWNodA== 164372 +IEZ1Zw== 164373 +0LvQtdC90L3QtQ== 164374 +INGB0LLQsNGA 164375 +65ag 164376 +IGVudGY= 164377 +IHBhbXdl 164378 +IM61zrrOsQ== 164379 +IHNlY29uZGVu 164380 +IGFpcndheQ== 164381 +YXJha2F0 164382 +INCw0L/QvtGI 164383 +W3NyYw== 164384 +5oi2 164385 +IGNvbmNlbnRyYQ== 164386 +4KeN4Kaa4Ka/4Kau 164387 +X3RyaWFs 164388 +IOCwuOCwguCwqg== 164389 +c3RkYm9vbA== 164390 +INin2YTYqtmE2YE= 164391 +IG1lbnRvcnNoaXA= 164392 +IG1hdGVtYXQ= 164393 +IOm+meiZjg== 164394 +dW1pdA== 164395 +VHV0b3I= 164396 +IGVuY29udHJvdQ== 164397 +INGI0LvRjg== 164398 +INin2YTYo9mE2LnYp9io 164399 +IGZyZWV3YXk= 164400 +dmVudXM= 164401 +CWFjdHVhbA== 164402 +IOOCouOCpA== 164403 +IGtpZW5ldA== 164404 +IFRoaWNrbmVzcw== 164405 +INin2YTYp9iz2YU= 164406 +bGVhc2luZw== 164407 +ZW5za28= 164408 +IG5qZW5nb2Jh 164409 +INGA0LXQudGC0LjQvdCz 164410 +IOC0juC0tOC1geC0pA== 164411 +IFN0YWRpb24= 164412 +IOKXjg== 164413 +IHTJmWzJmWI= 164414 +IFNjYW0= 164415 +0Z7Qu9GP 164416 +IEp1Ymls 164417 +INm+2qk= 164418 +IFNoZWxsZXk= 164419 +INin2YTZg9mH2LHYqNin2KbZitip 164420 +IGtvbnNh 164421 +IElzcmFlbGlz 164422 +IMOubA== 164423 +L3BsYWNl 164424 +IOCuteCuv+Curg== 164425 +Lm5paA== 164426 +z4DPjM69 164427 +IOCkuOCkruCljeCkruClh+CksuCkqA== 164428 +IOWkqeWkqeS4reW9qeelqOWumOaWuQ== 164429 +IGZlbWVuaW5v 164430 +4K+B4K614K6k4K+B 164431 +IG5vcm1hbGVtZW50 164432 +IGV4Y2VwdGlvbm5lbGxl 164433 +LXNjcmlwdA== 164434 +Q3Jlbw== 164435 +IHJhaW5mb3Jlc3Q= 164436 +IOCkhuCkluCkv+CksA== 164437 +IGNsYWQ= 164438 +IOydtOuKlA== 164439 +INKb0Lg= 164440 +IHbDpGx0 164441 +IEthbXBhbGE= 164442 +INC00LXQudC00ZY= 164443 +Z3JhcGhz 164444 +IFZlcnNpb25z 164445 +4LKk4LON4LK1 164446 +IGZvcmJpZA== 164447 +YXRhZQ== 164448 +IGRldmFu 164449 +IGdlZ24= 164450 +IOqzteuPmQ== 164451 +IGdlc2NoYWZmZW4= 164452 +J10uIic= 164453 +44GM44GC44KK44G+44GZ 164454 +U3BvdGlmeQ== 164455 +IExlYWRwYWdlcw== 164456 +IGJvb3R5 164457 +IOCqqOCqueCqvw== 164458 +5oCO5LmI5LiL6L29 164459 +R3JpcA== 164460 +IOCqneCqoeCqqg== 164461 +IGFhbnNwcmFr 164462 +4Ka/4Kag 164463 +INi02qnYs9iq 164464 +4KS/4KSs4KS+4KSw 164465 +bm9r 164466 +IG11bHRpbGluZ3VhbA== 164467 +IHbDpHJsZGVu 164468 +LkFjdGlvbnM= 164469 +LXNldmVu 164470 +JnBhZ2U= 164471 +aWpza2lo 164472 +IE91dHJv 164473 +IFRlYXI= 164474 +IHByaW5jaXBhbGx5 164475 +77yM5L2/ 164476 +UHJvamV0 164477 +IOCksuCkl+CkvuCkr+CkpA== 164478 +6YCf5aCx 164479 +INC80YPRgdGD0Ls= 164480 +IGNvbnNvbGF0aW9u 164481 +aGVhbA== 164482 +4YOt4YOY4YOg4YOT4YOU4YOR4YOQ 164483 +IGluc3VsdGluZw== 164484 +4oKs4oCd 164485 +fS4NCg== 164486 +LHJpZ2h0 164487 +IGdlYm9vcnRl 164488 +yZl0bMmZ 164489 +a3RpbWU= 164490 +IEFibGF1Zg== 164491 +X2RpZQ== 164492 +IHVuZGVyc3RhdGVk 164493 +INKb0LDQttC10YLRgtGW 164494 +IGRlYXJseQ== 164495 +LlNu 164496 +IG1hbG9z 164497 +TmVpbg== 164498 +IGVzcGFuaG9s 164499 +IEFyY2hpdg== 164500 +VHJpYWxz 164501 +IOCqueCqnOCrgQ== 164502 +IHN0w7Zk 164503 +wq1y 164504 +IGJyYXpv 164505 +IHRoaeG6v3U= 164506 +IGJyYXppbA== 164507 +IEthdGVnb3JpZW4= 164508 +IM60z4HOsQ== 164509 +YXJyaQ== 164510 +X3NwYWNpbmc= 164511 +IENyaWFu 164512 +INC/0YDQvtC90LjQug== 164513 +aXJ0aWVz 164514 +IGhvbm4= 164515 +IHBhcmHDrnQ= 164516 +QnJlYWQ= 164517 +44Kk44Oz44OB 164518 +INCx0LDRiNC60LDRgA== 164519 +Rmli 164520 +dW1hYg== 164521 +IGh1bWFuZQ== 164522 +0LfQsNGC 164523 +IG1wbA== 164524 +a3Rlcw== 164525 +IETDoQ== 164526 +4LiK4LmI4Lin4Lii 164527 +IHByw6lub20= 164528 +IGphaQ== 164529 +IGFuZ3VuaQ== 164530 +d2VjaHNsdW5ncw== 164531 +LlByZWZlcmVuY2U= 164532 +KXQ= 164533 +X3NoYXBlcw== 164534 +IHRyYWJhbGhhZG9y 164535 +IEVuYQ== 164536 +IM6zzq/Ovc61z4TOsc65 164537 +cnVtcA== 164538 +INGB0Y/QvA== 164539 +LnJhYmJpdA== 164540 +IGNhbXBlw6Nv 164541 +5YWx5Lit5aSu 164542 +4oCd77yb 164543 +L3Byb3BlcnR5 164544 +IGZvcmRlbA== 164545 +J2xpc2g= 164546 +c3R1bmRlbg== 164547 +ICAgIAkNCg== 164548 +IEVJ 164549 +IHN0ZXdhcmRzaGlw 164550 +7IaM64WE 164551 +0LHQsNGA0LDRgg== 164552 +IExvb20= 164553 +IGRpY3Rh 164554 +L3RhZw== 164555 +IHNla3N1ZWxl 164556 +IGthdWc= 164557 +IOCmruCmueCmvuCmqA== 164558 +KEJpdA== 164559 +INin2YTZhdi12YbYuQ== 164560 +IG7FkQ== 164561 +IOCqleCqvuCqsOCrjeCqr+CqtQ== 164562 +RGFhcm5hYXN0 164563 +IGtva2Vt 164564 +OmhpZGRlbg== 164565 +2YXYsdin2KE= 164566 +KioqLwo= 164567 +IOCqteCrgw== 164568 +dW5zdXBwb3J0ZWQ= 164569 +4KS24KWN4KSw 164570 +IGFmeWE= 164571 +0L7RgNCw0LzQuA== 164572 +IGNvbnR1ZG8= 164573 +4Liy4LiH4Lin4Lix4Lil 164574 +IHNobm9uZw== 164575 +bmFuY2U= 164576 +fS8+ 164577 +XT09Ig== 164578 +IO2UhOuhnOygne2KuA== 164579 +IGNhcm5ldA== 164580 +4LSx4LS/4LSy4LWN 164581 +IFBhY2tlZA== 164582 +IHlhbmdp 164583 +IOCwsOCxi+CwnOCxgeCwsg== 164584 +INin2YTYrdis2YU= 164585 +INCh0J0= 164586 +IHByaXZpbMOpZw== 164587 +IGVsxZF0dA== 164588 +IHByZWRzdGF2bGph 164589 +IG5pY2VzdA== 164590 +IEzDqA== 164591 +cHVydQ== 164592 +INC90LDQvNGD0LTQsA== 164593 +6Lyv 164594 +IHNlZ24= 164595 +INmH2KfZig== 164596 +INC/0YDRi9C6 164597 +IHBpY2hh 164598 +YnVsYW4= 164599 +XDo= 164600 +IC4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4= 164601 +aWJpbGl0w6R0 164602 +IOC0h+C0qOC1jeC0pOC1jeC0r+C0qOC1jQ== 164603 +w6RocnVuZ2Vu 164604 +T3Ji 164605 +YW5kdXM= 164606 +IG9iamVjdCdz 164607 +IOaWsOWkqeWkqeW9qeelqA== 164608 +44OW44Op 164609 +IM+Dz44= 164610 +IGV4cGxpcXU= 164611 +X2lvY3Rs 164612 +IM6yzrnOsg== 164613 +IHZlcnN0YWFu 164614 +c3Rpbg== 164615 +4LOG4LKv4LK+4LKX 164616 +IFRvbWF0bw== 164617 +IGplZG5vdGxpdg== 164618 +PT0k 164619 +w6ZyaW5n 164620 +IFNjaG9sYXJzaGlwcw== 164621 +IGJvZg== 164622 +IOqwkuydhA== 164623 +IG5ld2JpZXM= 164624 +4K+A4K6w4K+N 164625 +IEh1bnRlcnM= 164626 +IGVuZGVyZWNv 164627 +15nXmNec 164628 +2pHYpw== 164629 +IG1tZXThu6V0YQ== 164630 +bWVhc3VyZW1lbnQ= 164631 +KGRlcA== 164632 +IENvbXVuaWNhY2nDs24= 164633 +IFVtZmFuZw== 164634 +bGljdGluZw== 164635 +dW5jdHVhdGlvbg== 164636 +5YiG6aGe 164637 +KENvbnRyb2w= 164638 +2YXYsdin2YY= 164639 +IEhvcnQ= 164640 +IHloZGVzc8Ok 164641 +IHJlc2V0dGluZw== 164642 +IETDpA== 164643 +IHZpYWdnaW8= 164644 +IGd5w7Nn 164645 +IOWNmuS5kA== 164646 +IGdhcmRlbmVy 164647 +IHBvZXPDrWE= 164648 +xZ9kaXI= 164649 +IG9ubmlzdA== 164650 +ZXBp 164651 +IHZlcsOkbmRlcm4= 164652 +IEjDtHRlbA== 164653 +IFnDtm5ldA== 164654 +IE11Y2hvcw== 164655 +IGRvY3VtZW50ZW4= 164656 +VHlwaWNhbA== 164657 +IHJlc3RvcmF0aXZl 164658 +4KSo4KWH4KSq4KS+4KSy 164659 +IExlZWZ0aWpk 164660 +IGZhbWluZQ== 164661 +KCl9LA== 164662 +IOyEnOuhnA== 164663 +QlVZ 164664 +INGA0YvRiA== 164665 +a29yYg== 164666 +LmdtYWls 164667 +IEFMRVJU 164668 +YmxlbmQ= 164669 +IHNlbnRhZG8= 164670 +ZG93 164671 +IOCkteCkv+CknOCljeCknuCkvuCkqA== 164672 +UmI= 164673 +IOCkruClgeCkq+CljeCkpA== 164674 +IGRlYm91bmNl 164675 +X0luamVjdGVk 164676 +0LDRgtGB0Y8= 164677 +4Z+B4Z6P4Z+S4Z6P 164678 +INC/0YDQtdC00LvQsNCz0LDQtdC8 164679 +15nXnNeZ 164680 +IGRlcHJlc3NpdmU= 164681 +IGludGVyZmVyaW5n 164682 +SW5mcmFzdHJ1Y3R1cmU= 164683 +IHBvc2FtZQ== 164684 +IG1lZGFyYmU= 164685 +INqp2LHYp9qG24w= 164686 +2YPZjg== 164687 +Olwi 164688 +LkV4Y2Vs 164689 +IOODmg== 164690 +aGxp 164691 +LlBpeGVs 164692 +IHphbmc= 164693 +CSANCg== 164694 +0YfQvdGL0Lw= 164695 +X3lhbWw= 164696 +IHVycmFpbm4= 164697 +IOaMhw== 164698 +U2VwYXI= 164699 +IHVyxI0= 164700 +LmRyaXZl 164701 +INGA0LDQt9Cy0L7QtA== 164702 +4LGG4LCo4LGN 164703 +INC/0YDQuNCz0L7RgtC+0LLQuNGC0Yw= 164704 +X21hZ2lj 164705 +IGFjY2VwdGU= 164706 +Z2V0dGV4dA== 164707 +IG5kZWdl 164708 +IEV4dHJhcw== 164709 +IGFsbG9jYXRpbmc= 164710 +INiz2YXbjNiq 164711 +TWlzdA== 164712 +IGVpZ2lu 164713 +IERFQUQ= 164714 +INek15DWtw== 164715 +Q0o= 164716 +QUdJTkc= 164717 +LnJhaXNl 164718 +a29uYQ== 164719 +INC30L7QvdGL 164720 +LlNN 164721 +LXRlc3RlZA== 164722 +IGLhurk= 164723 +LnJlcA== 164724 +4Ka44Kau4Kef 164725 +0L7Qu9C+0LbQtdC90LjQtQ== 164726 +IElzaQ== 164727 +IHLDrWc= 164728 +IHplbWxqaQ== 164729 +IFJoaW4= 164730 +IEp1ZGdlcw== 164731 +IGRhcmJh 164732 +IGNvbGxlY3Rl 164733 +IENvbnR1ZG8= 164734 +TmFjaGRlbQ== 164735 +Lk5ld3M= 164736 +IEd1YXJkcw== 164737 +LnNheA== 164738 +IHRoeW0= 164739 +INio2KfYudiq 164740 +INC00LDRgtGL 164741 +LmludGVncg== 164742 +RkxJQ1Q= 164743 +IEVsaXNl 164744 +INCy0LjRgdGC 164745 +LVBhdWw= 164746 +INC90ZbRhw== 164747 +IEFyY2hl 164748 +RXN0b3k= 164749 +INGB0YLRgNGD0LrRgtGD0YDQsA== 164750 +ICVb 164751 +IHRlZ2Vuc3RlbGxpbmc= 164752 +IFN0YXJy 164753 +IFdpeA== 164754 +IENvbnRyYXN0 164755 +IGJlZ2Vn 164756 +0LDRgtC10LvRjNGB0YLQstC+ 164757 +0LXQu9GW0Lo= 164758 +INC70YM= 164759 +IHJ1d2E= 164760 +4YOj4YOX4YOu 164761 +YW5hc2Fu 164762 +IGRvY2VudA== 164763 +IOCquOCqruCquA== 164764 +IHjDqXQ= 164765 +IGZvZ3k= 164766 +YmxleQ== 164767 +X0xpbms= 164768 +IHDDug== 164769 +RU5URVM= 164770 +4LS14LWB4LSu4LS+4LSv4LS/ 164771 +IEphaQ== 164772 +bWFuxLE= 164773 +IEhPU0k= 164774 +cmVlaw== 164775 +aWZhaA== 164776 +QVRPTQ== 164777 +IOC0leC0ruC1jeC0ruC0v+C0seC1jeC0seC0vw== 164778 +b3Jlbw== 164779 +4KS24KWN4KS14KSw 164780 +IGVuZW1pZ28= 164781 +INmG2LPYqg== 164782 +IGVubmVt 164783 +IMOcYmVyZw== 164784 +IHdlcmtlbGlqa2hlaWQ= 164785 +aXN0aXQ= 164786 +ICcsJyw= 164787 +IHLDqWFsaXPDqXM= 164788 +R1JJRA== 164789 +IGludGVycHJldGE= 164790 +IGltcGVkYW5jZQ== 164791 +IGFubmlo 164792 +4LSn4LS/4LSV 164793 +INC00L7RgdGC0LjQttC10L3QuNGP 164794 +RGVjbGFyYXRpb25z 164795 +LmF0Z3VpZ3U= 164796 +KilfXw== 164797 +IExO 164798 +INC/0YDQvtGB0Yw= 164799 +IHBlcnN1bmFz 164800 +L3Jlc2V0 164801 +6aqX5bGA5o+t56eY 164802 +57uE5YWt 164803 +Rmlt 164804 +5Ymv5Lmm6K6w 164805 +IOCqteCrgA== 164806 +INiq2YXYp9mF24w= 164807 +0YHQvdGL 164808 +Il0o 164809 +IGV4cGxvZGluZw== 164810 +IG92ZXJsb2FkZWQ= 164811 +IOS4ieWbvQ== 164812 +IEltYWdlbg== 164813 +INGC06nRgNGC 164814 +IHNlbWJsYWl0 164815 +b2dvbg== 164816 +KE5vdGlmaWNhdGlvbg== 164817 +IHBvaXNzb25z 164818 +cm9vbmc= 164819 +7ZiE7J6s 164820 +INGC05nQvA== 164821 +dXNlcmluZm8= 164822 +IOuCoOynnA== 164823 +IGFkYXB0YWNpw7Nu 164824 +IGNhdXNhZG8= 164825 +INCw0LvQutC+0LPQvtC70Yw= 164826 +IHRlaXM= 164827 +IHN5Z2RvbQ== 164828 +IHZlcmhpbmRlcnQ= 164829 +dXNjaHQ= 164830 +W2xldmVs 164831 +IHBlcnNlbg== 164832 +4Kq44Kq+ 164833 +IFJlbW9kZWxpbmc= 164834 +IHdheWE= 164835 +6r+I 164836 +SmFjb2I= 164837 +IHDFmWlq 164838 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171826 +INin2YTYudmG2KfYtdix 171827 +IOCwpOCwpg== 171828 +UmVtYWlu 171829 +INC10LjSrdC10LjSs9OZ0LXQuNGC 171830 +KCco 171831 +2LHYqtmH2Kc= 171832 +INGF0YPQtg== 171833 +IEd3eW4= 171834 +IFZhbG9yZXM= 171835 +YXV0b2xvYWQ= 171836 +IExvbWJhcmRpYQ== 171837 +INC/0YDQtdCy0YDQsNGJ 171838 +INC20L7RgdC/0LDRgA== 171839 +U29i 171840 +INC40YHRgdC70LXQtNC+0LLQsNC90LjQuQ== 171841 +LmZpZw== 171842 +0LjSm9C4 171843 +YWRpbGxh 171844 +0LHQsNGA0q3QsA== 171845 +b2xhaXM= 171846 +IGhvbGE= 171847 +IG1hcmNoZXI= 171848 +aWplbnQ= 171849 +LkRhdGFzZXQ= 171850 +LXJlc2V0 171851 +X29wY29kZQ== 171852 +IOeOqeWutg== 171853 +aW5ub24= 171854 +IHZ1ZWxvcw== 171855 +U1VW 171856 +IGFsbG93YWJsZQ== 171857 +InRleHQ= 171858 +IOCyqOCyrg== 171859 +aXN0aWth 171860 +Y29ubmV4aW9u 171861 +4KSf4KWH 171862 +0LLQvtC4 171863 +INCx0LjQvQ== 171864 +VGxz 171865 +KFRv 171866 +IHN0cnVjdHM= 171867 +0JrRgNCw0YE= 171868 +IG1vdXJpcg== 171869 +ZW1icmll 171870 +IM6gzrHOvQ== 171871 +IMO+asOzbg== 171872 +dGhvcg== 171873 +YW5ncmlqaw== 171874 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171969 +IOCmueCniOCmm+Cmv+Cmsg== 171970 +IGlsbHVtaW5hdGluZw== 171971 +bWVya3Q= 171972 +IFRob3U= 171973 +IHBvbmllbmRv 171974 +0ZbQt9Cw0YbRi9GW 171975 +INS11b7WgNW41bo= 171976 +0YjQsNCz0LA= 171977 +IE1BTkFHRU1FTlQ= 171978 +zq/Ots6/z4XOvQ== 171979 +CVByb2R1Y3Q= 171980 +IOGDmOGDp+GDlQ== 171981 +IHZyaWpibGlqdmVuZA== 171982 +0LjRhtGD 171983 +INC+0YnQtQ== 171984 +4LGB4LC14LGB 171985 +cGNp 171986 +IGZyZXNoZXN0 171987 +IHN3YWxsb3dpbmc= 171988 +IGFjY2w= 171989 +INGB0LjQvdC0 171990 +bHVuZA== 171991 +IOCmueCmvuCmgQ== 171992 +IHNvbGl0YWlyZQ== 171993 +IGdlbGRpZw== 171994 +IOyeiOyWtOyEnA== 171995 +UmVsZXZhbnQ= 171996 +IGVhZw== 171997 +Y2hpZA== 171998 +IHNhbWxh 171999 +IHBlcmRlcmU= 172000 +IHR1cm5vdmVycw== 172001 +INin2LnYqtix2KfYtg== 172002 +IGxlYmFrYQ== 172003 +0JjRgdGC0L7Rh9C90LjQug== 172004 +INCz0YDQuA== 172005 +IEthdGhyeW4= 172006 +IHN3ZWF0eQ== 172007 +INmI2YXZhtmH2Kc= 172008 +IHRhbnRhbA== 172009 +IGJhbHNl 172010 +5YyX5Lqs5b+r 172011 +IGV2YXBvcmF0aW9u 172012 +INCw0YHQvtCx 172013 +IGVsZWt0cmlj 172014 +IGFzdHJvbmF1dHM= 172015 +LURlYw== 172016 +IHVncg== 172017 +Vml6 172018 +IEV4aXN0cw== 172019 +INC/0YDQtdC00YHRgtCw0LLQuNGC0Yw= 172020 +YmNj 172021 +IFNtYWxsZXI= 172022 +b3JlaQ== 172023 +IHBzZQ== 172024 +SUFN 172025 +IOCmheCmpOCmv+CmpQ== 172026 +KSkt 172027 +IOCkuOCkguCktg== 172028 +a2Vpbg== 172029 +xb5ub3N0 172030 +IG1vYmllbA== 172031 +YW1lbGVvbg== 172032 +V3Q= 172033 +IEtpbmRlcw== 172034 +IHR1cGU= 172035 +0JTQow== 172036 +IEVNQQ== 172037 +IElIdHRw 172038 +KCl7fQo= 172039 +IHVubmE= 172040 +amlyYQ== 172041 +b2xpY2E= 172042 +IHNhbGFt 172043 +CWZ1bGw= 172044 +V29ya3NoZWV0 172045 +IE1NTw== 172046 +LuCqhg== 172047 +IGNvbnRyYWNlcHRpb24= 172048 +IFBlcmZpbA== 172049 +IHJlZ3VsYXJtZW50ZQ== 172050 +wrAu 172051 +RkhJUg== 172052 +LWZhbW91cw== 172053 +IFTJmQ== 172054 +IFBlYW51dA== 172055 +0LLQtdC7 172056 +IOesrOS6jA== 172057 +IHN5bmNlZA== 172058 +Q2xhcg== 172059 +IM60z4HOrA== 172060 +X2RlcGFydA== 172061 +1aHWgdaA1aXVrA== 172062 +IHByZW9jdXBhcg== 172063 +INCQ0LHRgNC4 172064 +IHJlbnRhYmxl 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173204 +IOCwig== 173205 +Rnc= 173206 +IGVtb2Npw7Nu 173207 +IHRoYW5raW5n 173208 +IGJvb3pl 173209 +IFNETEs= 173210 +IHRhbmdsZWQ= 173211 +IGV4dHJ1c2lvbg== 173212 +IOuztOuLpA== 173213 +ZGVzc2Vu 173214 +R09SSVRITQ== 173215 +IHNlZ29u 173216 +UG9zdMOp 173217 +X3N1c3BlbmQ= 173218 +WFo= 173219 +IFByaW1lcm8= 173220 +bGV3 173221 +IGRldGFsaGU= 173222 +INin2YTYr9in2K4= 173223 +IEdhZGdldA== 173224 +INec15HXqA== 173225 +IGdsYXJpbmc= 173226 +LXRhbGs= 173227 +IEVuZ2luZXM= 173228 +IGtuaXR0ZWQ= 173229 +IG1hbnV0 173230 +Y3Vr 173231 +INmI2KfZhNmF2LM= 173232 +IGVraQ== 173233 +IOCqleCqvuCqsOCrjeCqr+CqteCqvuCqueCrgA== 173234 +IHN5bmVyZw== 173235 +xLVvag== 173236 +IGFuZ2Vrw7xuZA== 173237 +IGxldmFudGFtZW50bw== 173238 +LkxlcnA= 173239 +IOC0kuC0sOC1geC0leC1jeC0lQ== 173240 +INGB0YPQv9GA0LDRhtC+0Z4= 173241 +INee15XXpteo 173242 +INGP0LzRgw== 173243 +ZW50aW91cw== 173244 +IGJvb2tzdG9yZXM= 173245 +Imdv 173246 +IGFuYWxvZ291cw== 173247 +2LfYp9mG2YrYpw== 173248 +ZnJhY3Rpb24= 173249 +IHdvcmxkdmlldw== 173250 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180889 +IGthd2c= 180890 +IHJhcHBvcnRl 180891 +RnVuY2lvbmVz 180892 +INW/1aHVtg== 180893 +IGluZmxpY3RlZA== 180894 +IEFuYW5k 180895 +bWl0Z2xpZWQ= 180896 +Z2hhbmlzdGFu 180897 +INCd0LDRhtC40L7QvQ== 180898 +7KCV67aA 180899 +INin2ZPYptuM 180900 +w7NuYcOt 180901 +fV0sCg== 180902 +57Ku 180903 +INGI0YLQsNCx 180904 +d2VuZHVuZ3M= 180905 +IGFwcm9wcmk= 180906 +IOCkreCkj+CksA== 180907 +LXdvdw== 180908 +KGluZmxhdGVy 180909 +X2Vy 180910 +PWVtYWls 180911 +IERhYXJkb29y 180912 +IGthcmFt 180913 +0LPQsNC00LA= 180914 +IFRhdXI= 180915 +15fXqNeZ 180916 +cGVyaQ== 180917 +4LK+4LKo4LON4LKv 180918 +IGtyZWRpZXQ= 180919 +0L7Qt9GP0Lk= 180920 +INC/0L7QstC10YfQtQ== 180921 +INmF2YbYuNix 180922 +INmG2YjZig== 180923 +7qS07qS0 180924 +LWludGVncg== 180925 +d2VsYQ== 180926 +IO2KueynlQ== 180927 +IHBhZ21pbWluYQ== 180928 +S290 180929 +IEV4cHJlc3Npb25z 180930 +5ru/ 180931 +IGdsYWNpZXJz 180932 +aXJw 180933 +w7xuw7x6 180934 +IG15c3TDqXJpZQ== 180935 +IG9sdWw= 180936 +IGJlZHJhYWd0 180937 +aWdubw== 180938 +IGRvYXJl 180939 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180985 +IGTDqWNyZXQ= 180986 +KFBvcw== 180987 +IHR1bmdzdGVu 180988 +b2hhbnk= 180989 +IOCkpuCksOCljeCktuCkqA== 180990 +IFRibA== 180991 +IOCkueCli+CksuCkvg== 180992 +RWF0aW5n 180993 +5YiG6ZCY 180994 +INCy0LXQu9C40LrQvtC70LXQvw== 180995 +IEtvbnRyb2xs 180996 +IHNtYXNoaW5n 180997 +LW55xYg= 180998 +IHN5bmRpYw== 180999 +T3Bwb25lbnQ= 181000 +IOC0h+C0qOC1jeC0pOC1jeC0r+C1uw== 181001 +0LXQutCy0LDRgg== 181002 +ZmVhcg== 181003 +LmFnZ3JlZ2F0ZQ== 181004 +IOCmruCnjA== 181005 +INC30LTRltC50YE= 181006 +IHBvdWNlcw== 181007 +IOCksOCkleCkrg== 181008 +IHN0cmNocg== 181009 +IOCypOCyquCzjeCyqg== 181010 +4KaV4KeN4Ka34KeH4Kaq 181011 +INC/0L7RgNC+0LQ= 181012 +IHjhuqN5 181013 +5rig6YGT 181014 +INC+0LzTr9C3 181015 +5Y2x6Zmp 181016 +X0hE 181017 +WmltYmFid2U= 181018 +IEhq 181019 +INin2YTYrtmE2YE= 181020 +INC/0YDQvtCz0YPQuw== 181021 +IGFsY29ob2xpc20= 181022 +TW9tZW50dW0= 181023 +6LSh54yu 181024 +IHBsYXRlZm9ybWVz 181025 +IHN1c3U= 181026 +4KSw4KWH4KS24KSo 181027 +IEJpdGU= 181028 +IOCqruCqueCqv+CqqA== 181029 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181080 +IOW+ruS/oeWFrOS8l+WPt+WkqeWkqeS4reW9qeelqA== 181081 +IFBhZHM= 181082 +INC30LDQtNCw0L3QuNGP 181083 +IG5nYWdhZHVoYW4= 181084 +LWxoZXM= 181085 +0LTTqdOp 181086 +INCz0YDQsNC80L7Rgg== 181087 +IEFjdXRl 181088 +c2NoZWR1bGVk 181089 +5piv55yf55qE5LmI 181090 +IG1vbHRlbg== 181091 +INiq2LHYutio 181092 +IG1pc2E= 181093 +5pS55Y2V 181094 +IGNvbXB1dGFkb3Jlcw== 181095 +0YDQvtC2 181096 +INmD2LHZitmF 181097 +INCx0LDQudCz0YPRgw== 181098 +CUNvbW1hbmQ= 181099 +w4dP 181100 +IEJvdXJuZW1vdXRo 181101 +U01BUlQ= 181102 +KSkvKA== 181103 +IHNwcmFuZw== 181104 +X3Rocg== 181105 +Q2c= 181106 +IHltdw== 181107 +IERSRUFN 181108 +T0RN 181109 +QkFDS0dST1VORA== 181110 +IOC4q+C4suC4gQ== 181111 +INCw0L3QsNC/0YU= 181112 +L0xpbnV4 181113 +0JzQvdC1 181114 +Q0xPQ0s= 181115 +IGdldnVsZA== 181116 +IGthdWY= 181117 +IE1mdW1v 181118 +IGJsYWNrb3V0 181119 +INmK2YjYs9mB 181120 +IOCkuOCkguCksOCkleCljeCkt+Ckow== 181121 +IOCkquClgOCkj+Ckrg== 181122 +IHByaW5jZXNh 181123 +77yM5a+55LqO 181124 +LG5vZGU= 181125 +KGVuYWJsZWQ= 181126 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181318 +INiq2YjYp9mB2YI= 181319 +LlJlZ2V4 181320 +w6RzZXI= 181321 +CXBheWxvYWQ= 181322 +IGVsZWN0cm9seXRl 181323 +IGdzbQ== 181324 +IGxsYW1hbg== 181325 +IOC0leC0v+C0n+C1jeC0nw== 181326 +IGRvam8= 181327 +IEVyb3Rpc2s= 181328 +IGFkb3Jv 181329 +IG9wbG9zc2Vu 181330 +0YHQuNCw 181331 +Q29uc3VtZXM= 181332 +IGZhb2w= 181333 +IHNjYXJ2ZXM= 181334 +IHZlY2lubw== 181335 +INix2pg= 181336 +4KaG4Kac 181337 +IFPEhQ== 181338 +IHN1cmdlZA== 181339 +IOCkquCkueCkv+CksuClhw== 181340 +LS0tLS0tLS0tLS0tLS0KCg== 181341 +IHN1Y2VkaWRv 181342 +ZXhjZWxsZW50 181343 +RWFy 181344 +IOC0pOC0r+C1jeC0r+C0vuC0sQ== 181345 +IHZpcm91 181346 +IFJlbWFpbmluZw== 181347 +INC+0YLQutCw0LfQsNGC0YzRgdGP 181348 +IEFsZ3VuYXM= 181349 +VWRw 181350 +IGRoaWc= 181351 +cmV0cm8= 181352 +w4lz 181353 +IFhhbg== 181354 +IEJ1bQ== 181355 +0rPTmdGL0YE= 181356 +5oSf44GY 181357 +YmFzZXM= 181358 +IHBoZA== 181359 +44K244Kk44Oz 181360 +5Liq5bmz5Y+w 181361 +4LCo4LGA 181362 +X2dlbmVy 181363 +RWtz 181364 +IHN1bW1h 181365 +5Zuw6Zq+ 181366 +IEdvacOhcw== 181367 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181615 +IGNsw6F1cw== 181616 +dWVuemE= 181617 +44K444Oj44Oz 181618 +77yeCg== 181619 +IGNyw6lhdGl2aXTDqQ== 181620 +IGt5ZQ== 181621 +YW5lbmc= 181622 +w6HFmWU= 181623 +IGJvZGFz 181624 +IOC0huC0rQ== 181625 +IGJlZW5kZXQ= 181626 +IE1vcmk= 181627 +IOafsw== 181628 +bWFrZXM= 181629 +IHZlcmdlZXQ= 181630 +Ki8pCg== 181631 +55qE6L2v5Lu2 181632 +w6J0cw== 181633 +IGFsZW5l 181634 +CW5vZGVz 181635 +INmC2KjYsQ== 181636 +IOC0leC1geC0nuC1jeC0ng== 181637 +IFN1bmRlcmxhbmQ= 181638 +4K+N4K6k4K+N4K6k4K+B 181639 +INC40YfQutC4 181640 +IGxkYQ== 181641 +IGFsbGVnZXM= 181642 +IGRydWtrZW4= 181643 +aWNvcnA= 181644 +INi52LTZgg== 181645 +LS0tLS0tCgo= 181646 +LWZldGNo 181647 +L29wZXJhdG9y 181648 +IG1hbmNoZXM= 181649 +Vm9sbGV5 181650 +INC/0L7QtNCw0YfQuA== 181651 +1ZI= 181652 +z4fPjg== 181653 +IER1bW5lemU= 181654 +INC90LDQs9GA0YPQt9C60Lg= 181655 +IGFkZ2FuZw== 181656 +INC90LDQvNCw0LnQuNGI 181657 +IOq4iOyctQ== 181658 +0YrQvw== 181659 +LWl3ZQ== 181660 +LnBrZw== 181661 +amV1 181662 +YWfEpw== 181663 +IFdpbGxrb21tZW4= 181664 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181808 +INC+0YLRhdC+0LQ= 181809 +L3Byb2Nlc3M= 181810 +KGRpY3Rpb25hcnk= 181811 +4YOU4YOg4YOe 181812 +15XXoteU 181813 +S2VpdGg= 181814 +IGRhcmJ1 181815 +IGthdWR1 181816 +IEhlbmRyaXg= 181817 +IG9iZXJlbg== 181818 +IGJhY2hlbG9ycw== 181819 +4L2m 181820 +LW1hc2s= 181821 +IGN1bm5pbmc= 181822 +IHRhbGVudG9z 181823 +IFJhaW0= 181824 +INCw0pvRiNCw 181825 +aGxhaGlzb2E= 181826 +INC/0L7QutGD0L/QutC1 181827 +IEFCTw== 181828 +KCk9Pg== 181829 +0KHRgtC+0LjQvNC+0YHRgtGM 181830 +YmVyZWQ= 181831 +INin2LPaqg== 181832 +X2ZsdXg= 181833 +JnV1bWw= 181834 +LWRyaXZlcg== 181835 +Rk9SRA== 181836 +IOCuruCvh+Cusg== 181837 +IGluZmFudGlsZXM= 181838 +IOC3gOC3mg== 181839 +LkNydWQ= 181840 +KEhhdmU= 181841 +INS01bjWgtaE 181842 +Q1VEQQ== 181843 +LmZlZWRiYWNr 181844 +IG1lZXN0ZXI= 181845 +KGFjY291bnRz 181846 +IGZvc3RlcnM= 181847 +IMOubmNlcHV0 181848 +IM66z4HOrA== 181849 +15nXptef 181850 +IG1hdXZhaXNlcw== 181851 +IFBJUg== 181852 +INm+2KfZhtqG 181853 +4LKy4LKo 181854 +2YHYsdmC 181855 +IGVya2VubnQ= 181856 +IFVJR3JhcGhpY3M= 181857 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182552 +IGJldGVpbA== 182553 +VU5EUw== 182554 +IEJldG9u 182555 +IHdpbGRmaXJl 182556 +IHVuY2Fubnk= 182557 +IE55ZQ== 182558 +4oCZRW4= 182559 +4Lit4Lif 182560 +INis2Yraqtin 182561 +IHppcmNvbg== 182562 +IHJpZmZz 182563 +LlVp 182564 +IHloZGVu 182565 +0YPRgtGC0YPQug== 182566 +IHlrbg== 182567 +5YyZ 182568 +ZXN0ZXM= 182569 +5oOz5Yiw 182570 +15vXqteV15E= 182571 +IHdlZGdlcw== 182572 +INeR15TXqA== 182573 +amFsZQ== 182574 +4YOd4YOT4YOc4YOU4YOc 182575 +aWxpYW5v 182576 +IOCwquCxjeCwsOCwuA== 182577 +IERhdGFz 182578 +IHJpbXdl 182579 +INeR16rXmQ== 182580 +X2FycmF5cw== 182581 +IFNJU1Q= 182582 +5oiQ6ZW/ 182583 +54Ot6L+Z6YeM5Y+q5pyJ57K+5ZOB 182584 +IG9ncmFuaWM= 182585 +b2RoYQ== 182586 +Q2lzY28= 182587 +INeQ15XXnQ== 182588 +IHNpcGg= 182589 +KE1vY2tpdG8= 182590 +IHJhenZvamE= 182591 +IER1bWI= 182592 +INCQ0LPQsNGA 182593 +IGNvbnRhY3Rl 182594 +bGHFn2TEsXI= 182595 +INem15HXog== 182596 +Q1VT 182597 +2LbYsdin2LE= 182598 +IGJsb2Nz 182599 +IG5la3U= 182600 +KHNlcGFyYXRvcg== 182601 +IHl1Yg== 182602 +IG1vb25z 182603 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182704 +IG5naW54 182705 +INCT0LXRgNC80LDQvdC40Y8= 182706 +IGNvbnNlcnZhw6fDo28= 182707 +Tm9uZXRoZWxlc3M= 182708 +IHJlbm92YWNpw7Nu 182709 +IOyhsOyngQ== 182710 +2KbZiQ== 182711 +IHphxaHEjQ== 182712 +KGp3dA== 182713 +IEJsb29keQ== 182714 +INGB0LM= 182715 +IEFOR0VMRVM= 182716 +IHBhcmFuZA== 182717 +IOCquOCrh+CqtQ== 182718 +0Y/QtNC+0Lw= 182719 +0LXRgNC/ 182720 +IHNvc3RpZW5l 182721 +4LKV4LK+4LKw4LK/ 182722 +IGphYsOzbg== 182723 +ZWxvemU= 182724 +SUVWRQ== 182725 +INeV15XXmdeh158= 182726 +aXNzZWQ= 182727 +INKb0LjRgNKT0LjQvQ== 182728 +IEhlcnR6 182729 +Y2llcm9u 182730 +LdGD0LzQuA== 182731 +INC/0LXRh9C10L3QuA== 182732 +IOCyhuCyuQ== 182733 +X3NlcnZlcnM= 182734 +xKt0aQ== 182735 +LmZpbmlzaGVk 182736 +IOC3g+C3jw== 182737 +QVJP 182738 +UEJT 182739 +IGludmVzdHM= 182740 +IGNvcGk= 182741 +IHBhdHNp 182742 +dXR0ZXQ= 182743 +INCy0L7Qt9C90LjQutCw0Y7Rgg== 182744 +dW13ZXJ1 182745 +Jyk7Ly8= 182746 +LlNoZQ== 182747 +INCx0LDSuw== 182748 +IOCkl+CkvuCkgeCktQ== 182749 +IHBlcm1pc29z 182750 +4YOU4YOR4YOT4YOc4YOU4YOc 182751 +0L7QstC10LQ= 182752 +c2hvZQ== 182753 +cHJlaXNl 182754 +LlZBTFVF 182755 +LmNvbGxpZGVy 182756 +IHp1Z2Vz 182757 +INC/0YDQvtCy0L7QtNGP0YI= 182758 +4KWN4KSy4KS/4KSu 182759 +IOGDmOGDrg== 182760 +IE5vb3I= 182761 +IEhpc3RvcmljYWxseQ== 182762 +IGNhdXNhbmRv 182763 +UXVpZXJlcw== 182764 +IGxpamY= 182765 +IHRvdXJub2k= 182766 +4oW8 182767 +IMOpbGV2w6lz 182768 +LlBvcGVu 182769 +IOi2o+i1og== 182770 +INGD0LzRg9C8 182771 +5ZCI5rOV5LmI 182772 +IHNweWluZw== 182773 +yZltaXl5yZl0 182774 +4KSq4KWC4KSw 182775 +IOCkrOCkv+Cknw== 182776 +IHN0cmlwc2xhc2hlcw== 182777 +IG1hdHVtaXpp 182778 +IOC0teC0vuC0meC1jeC0mQ== 182779 +IG51YmU= 182780 +4oCZb2w= 182781 +IG1hc3NpbW8= 182782 +INGA0LDQt9C+0LHRgNCw0YLRjNGB0Y8= 182783 +IOCmuOCmq+Cmsg== 182784 +IFJlZ2nDs24= 182785 +IHJlZHVjdA== 182786 +IHRlZGR5 182787 +IGJlbGVpZHM= 182788 +IiwiXA== 182789 +IG1pY3JvZmliZXI= 182790 +4oCM2LTZiNmG2K8= 182791 +IENoZWVz 182792 +5pS55Y+Y 182793 +IGFzaWFra2E= 182794 +VmV0 182795 +INC00LXRgNC10LLQvg== 182796 +INCU0LXQuw== 182797 +IHlm 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187624 +IFBlZHJh 187625 +QmFydA== 187626 +4LmA4Lie4Lil4LiH 187627 +LnJ2 187628 +CXByaXY= 187629 +CXZlcnRleA== 187630 +L2pvYnM= 187631 +0YfRi9GB0Ys= 187632 +IGhvbm9yYXJ5 187633 +ICIqKio= 187634 +IOCyteCypOCyv+Cyr+Cyv+CyguCypg== 187635 +X2VuY29kZWQ= 187636 +aGlsYW5nYW4= 187637 +IFdBTEs= 187638 +CUNTdHJpbmc= 187639 +INin2YTYqtmH2KfYqA== 187640 +IENSRURJVA== 187641 +6ZuV 187642 +5a6i6YKm 187643 +INW41oDWhNWh1bY= 187644 +IGNvbWJpbmFkbw== 187645 +TWVzaGVz 187646 +d8O8cmRpZ2tlaXRlbg== 187647 +UmVwcmVzZW50YXRpdmU= 187648 +dGFuaw== 187649 +LnByb2JsZW0= 187650 +X2l0ZXJz 187651 +5a+55Yi3 187652 +1bXVodW21avVtg== 187653 +TlNB 187654 +amRr 187655 +XSE9Jw== 187656 +b3Row6lyYXBpZQ== 187657 +IEFRVQ== 187658 +4Keo4Kep 187659 +INix2qnavtiq25I= 187660 +KHR1cm4= 187661 +IOqwgOuKpe2VqeuLiOuLpA== 187662 +IHRyZWludGE= 187663 +KGJsb2c= 187664 +IE5vaQ== 187665 +IG91dHNvbGU= 187666 +d8Op 187667 +CWVuZGlm 187668 +INGF0LjRgtCw0LnSk9Cw 187669 +4YOj4YOg4YOj4YOa4YOY 187670 +INKz0LDQt9C+0YA= 187671 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187718 +IGVsZW1lbnR1bQ== 187719 +cOG7pXRhcmE= 187720 +QVJUQQ== 187721 +INCx0LDRgdGC0LA= 187722 +IHNhbnRp 187723 +w6hycmE= 187724 +IGphcmVubGFuZw== 187725 +IGNpYXM= 187726 +IOCkqOCkv+CksOCljeCkruCkvuCkpOCkvg== 187727 +IEFXRVNPTUU= 187728 +YWZpbGU= 187729 +INGF0YPQttC1 187730 +CVZlcnNpb24= 187731 +KGNhbmNlbA== 187732 +IGthdHU= 187733 +LWhlbHBlcg== 187734 +CQkJCQkJCSAgIA== 187735 +VU5P 187736 +xaFuw60= 187737 +IENvbW1vZGl0eQ== 187738 +V2FsbHM= 187739 +VUJMSVNIRUQ= 187740 +IGludmVu 187741 +aW5hcmU= 187742 +INGB0L/Rg9GC 187743 +IFRhYmxh 187744 +LdGA0LDQtw== 187745 +INC40LDQtA== 187746 +INin2YTarw== 187747 +w6lobmE= 187748 +IGtvcnRpbmdz 187749 +4KSC4KSk4KWB 187750 +5oC75Luj55CG6IGU57O7 187751 +IGxldHRlcmU= 187752 +IFppZA== 187753 +IOC0heC0reC0v+C0qOC0rw== 187754 +bHRyZQ== 187755 +IENPTkRJVElPTg== 187756 +IG1hZHU= 187757 +INCf0LDRgNC4 187758 +IOC0uOC0vuC0ruC1jeC0qg== 187759 +5Y+45rOV 187760 +4KuH4Kqy4KuL 187761 +IGZ1dGlsZQ== 187762 +4K614K6x4K+N4K6x 187763 +b2dpY2Fs 187764 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190707 +IE1hbGFnYXN5 190708 +IOq1rO2YhA== 190709 +IOCkmuCli+CksOClgA== 190710 +64WE64+E 190711 +Oml0ZW0= 190712 +IHJvc3k= 190713 +4Ka+4Ka54Kak 190714 +IEJDcnlwdA== 190715 +Pj4oKTsKCg== 190716 +IGludGVudHM= 190717 +4LmA4Lin4LmH4Lia4LmE4LiL4LiV4LmM 190718 +IEtlZW4= 190719 +4LGW 190720 +J10uJyI= 190721 +IHJlc3RydWN0dXJl 190722 +IHPDqWN1cmlzw6k= 190723 +INeT15DXoA== 190724 +LdCw0Lk= 190725 +U3VjY2Vz 190726 +b25jZXI= 190727 +IHByb2Z1bmRhcw== 190728 +IGV5ZXNpZ2h0 190729 +IEhvbGFuZGE= 190730 +X2JsZQ== 190731 +aWV4cHJlc3M= 190732 +4oCZRXNw 190733 +Q0VG 190734 +IHJlY29tYW5k 190735 +IGhhbG9y 190736 +b2lkYWw= 190737 +IHNpY3VyYW1lbnRl 190738 +IEVzY3I= 190739 +4LS/4LSo4LWN4LSx 190740 +INC60L7QvdC60YPRgNGB0LA= 190741 +0LPQsNKb05nQsA== 190742 +ZXJlZ2lzdGVy 190743 +IMSNaW0= 190744 +cHN5b24= 190745 +2oHZhw== 190746 +IGZpaQ== 190747 +IGxlZ2VuZGE= 190748 +w6dpbGVy 190749 +INW01aw= 190750 +IEFwcGFy 190751 +IGdyYWR1YcOnw6Nv 190752 +4oCcSG93 190753 +IGZpbG1tYWtpbmc= 190754 +IHJhw6dh 190755 +IGFib25k 190756 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191093 +0LDRgtC10LvRjNC90LDRjw== 191094 +YWxhaQ== 191095 +IHRhbWFtZW4= 191096 +IM66zqzPhM+J 191097 +IHNoZWF0aA== 191098 +IHZpZHM= 191099 +INCw0LvQsNK70LjQtNOZ 191100 +SlNHbG9iYWw= 191101 +R292ZXJub3I= 191102 +KGt3YXJncw== 191103 +LuC0n+C0vw== 191104 +Lkluc3RhbGw= 191105 +aGVsdQ== 191106 +4YOd4YOR4YOU4YOR4YOY 191107 +IOC4reC4ouC4ueC5iA== 191108 +V3U= 191109 +w6RtbQ== 191110 +ZG5h 191111 +INit2YXZhNip 191112 +IHJpbmd0b25l 191113 +IOCml+CmrOCnh+Cmtw== 191114 +Yml5 191115 +cXVlZGFz 191116 +JWU= 191117 +CXBlcnNvbg== 191118 +IHRlZ2Vtb2V0 191119 +X2NvdXJzZXM= 191120 +IGRvbm9z 191121 +IEdlbnVzcw== 191122 +IHN2w6lobw== 191123 +4LCq4LGA 191124 +YWt1cw== 191125 +IEJleW9uY2U= 191126 +IExhdHRl 191127 +KHRvbHVh 191128 +L21hYw== 191129 +4Z6a4Z6A 191130 +IGxpY2tpbmc= 191131 +IG1pY3Jvdw== 191132 +INCy0ZbQtNC6 191133 +UHLDqXNlbnRhdGlvbg== 191134 +IFJhdWNo 191135 +INGC0LDRgNCw0LHRi9C90LDQvQ== 191136 +aXN0aW5l 191137 +IHZyYWNodA== 191138 +LXNhdg== 191139 +bmV3bGluZQ== 191140 +IO2OvA== 191141 +c3ByZWtlbmQ= 191142 +IGludGltaWRhdGlvbg== 191143 +aWZmaWc= 191144 +PllvdXI= 191145 +Lm1pbnV0ZXM= 191146 +IE5ndW5pdA== 191147 +IHNob3J0aGFuZA== 191148 +aW5zdGVsbHVuZw== 191149 +IHdldGVuc2NoYXA= 191150 +w69u 191151 +Ly4uLg== 191152 +IENvbXVuaWM= 191153 +IHN2xa9q 191154 +INCw0YDQutGL0LvRg9GD 191155 +IE1pbms= 191156 +b2Jpcw== 191157 +RHVmZg== 191158 +IOC0pOC1hw== 191159 +IGNodsOt 191160 +cHJvY2Vk 191161 +b2Zhcg== 191162 +IOWIpOaWrQ== 191163 +U3luY2hyb25pemF0aW9u 191164 +INWi1aXWgNWl1aw= 191165 +L3Nvbmc= 191166 +IGJsaWprZW4= 191167 +IFBsw6R0emU= 191168 +INCz0L7Qu9GD0LE= 191169 +Zmxha2Vz 191170 +Cg0K 191171 +J2FudA== 191172 +0LvRi9Cz0Ys= 191173 +IHZyb3V3ZWxpamtl 191174 +c2Vlcg== 191175 +0YvSoQ== 191176 +IGludGVsbGVjdHVhbGx5 191177 +IFBhbG1laXJhcw== 191178 +IOWkp+WPkeW/q+S4ieaAjuS5iOeciw== 191179 +IGZhYnJpa2FudA== 191180 +Q29udmVyc2lvbnM= 191181 +INGC0L7RgNCz0L7QstC70Lg= 191182 +IEVkYWQ= 191183 +IFTDtGk= 191184 +LXJlZ2lzdHJhdGlvbg== 191185 +ZXJhYW4= 191186 +4Z6Y4Z+S4Z6U4Z64 191187 +Y2l2aWw= 191188 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191235 +5Zub5LiN5YOP 191236 +IOWMuw== 191237 +IOC0sOC0nA== 191238 +X25vbWU= 191239 +4Kq+4Kq14Kqw4Kqj 191240 +1LHUvw== 191241 +IGNvbnRlbmRv 191242 +IHByZWNpb3Nh 191243 +IOCkheCkreCkv+CkqOClh+CkpOCljeCksOClgA== 191244 +2Kfaqg== 191245 +0YDQuNC3 191246 +IGdld29obnQ= 191247 +6LW0 191248 +IGtvcmVhbg== 191249 +IHNoYWNhYmth 191250 +44O7772A 191251 +IG9pdA== 191252 +TXVzZXVt 191253 +2K7bjNi1 191254 +IeKAnS4= 191255 +IFJpZ2E= 191256 +INC80LDQsNKt 191257 +IHR4YXd2 191258 +0L7QsdCw0YA= 191259 +IGtlaGlsYW5nYW4= 191260 +IOC5gOC4iOC5iQ== 191261 +bGVkZW0= 191262 +77yM6LCi6LCi 191263 +INCy0LDQu9C1 191264 +ZHJhbQ== 191265 +dW5wcm9jZXNzYWJsZQ== 191266 +4KS+4KS44KSk 191267 +UlVMRQ== 191268 +0LbTmdC6 191269 +INin2LA= 191270 +IEVyd2FjaHNlbmVu 191271 +0JLQvtC30YDQsNGB0YI= 191272 +WWVuaQ== 191273 +IGRhcnRz 191274 +IOCqluCrgeCqsg== 191275 +4Kao4KeN4Kaf4Ka+4Kaw 191276 +7LyA7YyF 191277 +LXdpcmU= 191278 +R2Fueg== 191279 +YWthbmFuaQ== 191280 +eXN0YQ== 191281 +IOCwueCxhg== 191282 +IMWfaW1kaQ== 191283 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195532 +IG5ha29uZw== 195533 +IExWUw== 195534 +LHRtcA== 195535 +IGHDsWFkacOz 195536 +a2l0dHk= 195537 +4Lij4LmI4Lin4Lih 195538 +IHBoaWxhbnRocm9waWM= 195539 +IOCyqOCyv+Cypw== 195540 +c3Nzcw== 195541 +IHJlbWFycXVhYmxl 195542 +IGdoYXI= 195543 +ZXJ0b3du 195544 +IOCkmuClh+CkueCksOClhw== 195545 +IE9TWA== 195546 +IOCosuCpi+ColQ== 195547 +IE1pbm5pZQ== 195548 +4LiT4Liw4LiX4Li14LmI 195549 +IFBBTkVM 195550 +Ozs7Ozs7Ozs7Ozs7Ozs7Ow== 195551 +INCw0YXRjNGL 195552 +amVsZQ== 195553 +IMWfw7Z5bGU= 195554 +IG1pbnV0cw== 195555 +c3RpbWU= 195556 +77yM5LiA5Liq 195557 +IHPDvHJk 195558 +YWxhZA== 195559 +IGdhc2s= 195560 +w6ZraQ== 195561 +IEFuemVpZ2Vu 195562 +INC/0ZbQutGW0YA= 195563 +IGltcHJpbWU= 195564 +IGFjb250ZWNpbWVudG9z 195565 +IHBvcnRhZGE= 195566 +27PbsA== 195567 +bW9kdXM= 195568 +IEdlbnJlcw== 195569 +77+9JiY= 195570 +0LbRi9C8 195571 +IMOgdGk= 195572 +0LDQu9C70LA= 195573 +S2luaQ== 195574 +IER1bmRlZQ== 195575 +IFRSVVNU 195576 +w61vbWg= 195577 +IGNoYXJsYQ== 195578 +INCy0L7RgNC+0YI= 195579 +b2tzaWE= 195580 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195674 +7IaM65Oc 195675 +INGC0LDQsdC70LXRgtC60Lg= 195676 +b3N0YXI= 195677 +IEpvYw== 195678 +INC/0YPQt9GL0YA= 195679 +IM60z43Pgw== 195680 +LnNhbQ== 195681 +5pGE5b2x 195682 +IENvcm91dGluZQ== 195683 +IG3DuHRlcg== 195684 +L3F1ZXN0aW9u 195685 +4KWB4KSP 195686 +5b2p5rOo5YaM 195687 +IM+Azq3Pgc6x 195688 +LmRlcg== 195689 +IG92ZXJjYW1l 195690 +JGo= 195691 +YXNpYmxl 195692 +INqp2YjYr9qp 195693 +ZmVyZW5jaW5n 195694 +IOCkuOCkleCkvuCksOCkvuCkpOCljeCkruCklQ== 195695 +77yM5LiN6L+H 195696 +LmNvbmRpdGlvbnM= 195697 +6KOV 195698 +IG90ZXY= 195699 +IEtpbmVjdA== 195700 +INCz0LDQuQ== 195701 +IHNrb3Jhag== 195702 +RVhQRUNURUQ= 195703 +KHJy 195704 +IHJlZmVyw6puY2lhcw== 195705 +IG9sbWFkxLHEn8Sx 195706 +IGhhbW1vY2s= 195707 +IM6zz4HOrA== 195708 +U2VlbXM= 195709 +0LrRltGI 195710 +aWRkYQ== 195711 +d2lzaGxpc3Q= 195712 +Lm1udQ== 195713 +IOCyhuCyuOCzjeCyquCypOCzjeCysOCzhuCyl+Czhg== 195714 +IGTDqWfDonRz 195715 +IG1hd2FsYQ== 195716 +IHLDoXBpZGFz 195717 +Q29udGVuaWRv 195718 +IHN1yrs= 195719 +IOCkq+Ckv+Cknw== 195720 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195766 +2KLZvg== 195767 +Q29uZHVjdA== 195768 +0LXQvdC40Lw= 195769 +IGVzcGVjaWZpY2FtZW50ZQ== 195770 +Lm1vdG9y 195771 +IHBlbGxlbnRlc3F1ZQ== 195772 +IOCkl+ClgeCksOClgQ== 195773 +IOCqreCql+CqteCqvuCqqA== 195774 +X21pbm9y 195775 +IGRoYWF3 195776 +IG9wdGltaXNlcg== 195777 +0LjRh9GM 195778 +5raT 195779 +b3RvbQ== 195780 +5YWt56CB 195781 +INiv2YTahg== 195782 +IG3Em2xp 195783 +YW1pcXVlcw== 195784 +IOCmruCmueCmv+CmsuCmvg== 195785 +YXRpY29u 195786 +IHNrcmV2ZXQ= 195787 +SW50ZXJlc3M= 195788 +bmnDug== 195789 +IGNyYW5lcw== 195790 +W25vdw== 195791 +IGFkZXY= 195792 +IO2ZleuztA== 195793 +LHRvdGFs 195794 +IENsaW5pY3M= 195795 +eXNpemU= 195796 +4Kya 195797 +5rKq 195798 +IE1hY2JldGg= 195799 +IHJlbmRlbGtleg== 195800 +5bm06ZaT 195801 +IOyYiOygleydtOuLpA== 195802 +IOODjg== 195803 +0YnRgw== 195804 +IENvbnN1bWU= 195805 +IGRpc3Bhcml0aW9u 195806 +IERlZmVuZGFudA== 195807 +Ki8pLA== 195808 +w7xja3M= 195809 +IOCumuCvgeCuseCvjeCusQ== 195810 +IHdpbGxz 195811 +bGljYXI= 195812 +X2ZpeHR1cmU= 195813 +KGVmZmVjdA== 195814 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195860 +IGvFq3Bvbm8= 195861 +QnJha2U= 195862 +IFdpdGhkcmF3YWw= 195863 +IHVuZGVuaWFibHk= 195864 +IGdlbm9tZXM= 195865 +IEF1dG9tYXRlbg== 195866 +IER1YnJvdg== 195867 +IGNyZWFu 195868 +YXZub20= 195869 +b3BsYXNt 195870 +IGFubnVlbGxl 195871 +IOCqleCqv+CqguCqruCqpA== 195872 +INC/0YDQuNC00LXRgNC2 195873 +IO2Gte2VnA== 195874 +IENvbnZleQ== 195875 +IOu2gO2DgQ== 195876 +5LyB6bmF 195877 +15nXmNeV16o= 195878 +LmNhcGl0YWxpemU= 195879 +44CC44CNCg== 195880 +INKh0LDRgtGL0L0= 195881 +IGZhcmlu 195882 +INm+2LHYqtmH 195883 +4K+K4K6j4K+N4K6f 195884 +LVVQ 195885 +YXZvaWU= 195886 +QVdB 195887 +INCy0L7Qu9C9 195888 +IHTDpGxs 195889 +4LKo4LON4LKv 195890 +VGVhY2g= 195891 +IOOCreODow== 195892 +4LSq4LWN4LSq4LWL4LW+ 195893 +LkVkZ2U= 195894 +IGNpbnR1cg== 195895 +IGJlcmFkaQ== 195896 +IFJlbWVkeQ== 195897 +IExhbnM= 195898 +INW91a/VvdWl1aw= 195899 +ZG9k 195900 +INGC0YPRgNGD 195901 +IFRhcms= 195902 +LUNocmlzdGlhbg== 195903 +xI1pbG8= 195904 +IOGDqOGDlOGDl+GDkOGDnOGDruGDmw== 195905 +Y3Vu 195906 +TWVjaGFuaWNhbA== 195907 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195954 +4Lik4Lio4LiI 195955 +INWv1aHVptW01bjWgtW0 195956 +IGRyxb5hdmE= 195957 +Y2xhc3NpZmllcg== 195958 +K3NlbGY= 195959 +INin2KrYrNin2Yc= 195960 +IG5hand5 195961 +IG1ldGFib2xpdGVz 195962 +IOC0sOC1gOC0pA== 195963 +IGdldG9wdA== 195964 +X1VM 195965 +INGB0L/QtdGA 195966 +ICstLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0t 195967 +JywnPScsJw== 195968 +IENhcHJp 195969 +INGB0L7QsdC70Y7QtNCw0YLRjA== 195970 +LXNjaGVtYQ== 195971 +44CR44CQ44CC44CRCgo= 195972 +L05hdg== 195973 +X3NwZWNz 195974 +0LjRgNC1 195975 +6JKy 195976 +U2tpcHBpbmc= 195977 +Lm9wZW5j 195978 +b3BhdXNl 195979 +LCRf 195980 +KFNpemU= 195981 +IGtvamlo 195982 +4oCN4LSl 195983 +L2NvbnRyb2w= 195984 +IEvFqw== 195985 +0L7QvNGL 195986 +LUZyaWVuZGx5 195987 +IOCktuCliOCksuClgA== 195988 +IEdhbw== 195989 +IHJvbw== 195990 +IMOhcnM= 195991 +fScpOwo= 195992 +2YjYstuM2LTZhg== 195993 +IEJobw== 195994 +IGJveg== 195995 +IOCyieCyquCyuOCzjeCypQ== 195996 +X1JHQ1RY 195997 +IFNrYWw= 195998 +IHRlcm1pdGU= 195999 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196329 +IGdhemVibw== 196330 +INC10LjQtw== 196331 +aW5kZXJlZA== 196332 +LmlvdA== 196333 +15XXm9eg15nXqg== 196334 +IMOpcno= 196335 +IOGDqeGDkOGDlQ== 196336 +4KSV4KWN4KSV4KS+ 196337 +IHNheWluZ3M= 196338 +IOCknOCkv+CkuOCkqOClhw== 196339 +0LjQu9Cz0YvQvQ== 196340 +Q29tdW4= 196341 +IGFzc29jaWFkbw== 196342 +dWp1c3M= 196343 +IOCnsOCnguCmqg== 196344 +LXRhaWw= 196345 +LVVTQQ== 196346 +KHBn 196347 +Iu+8jA== 196348 +IGRvYmI= 196349 +IGFybW9yZWQ= 196350 +INCy0YvRhdC+0LTQuNGC 196351 +aWdvdA== 196352 +X2VsYXBzZWQ= 196353 +X3Vucw== 196354 +KFVQREFURUQ= 196355 +c3BpcmFjeQ== 196356 +L2V4dA== 196357 +LkNlcnRpZmljYXRl 196358 +IOCmhuCnn+Cni+CmnOCmqA== 196359 +IGNob2tpbmc= 196360 +bWFudWZhY3Q= 196361 +1bjWgtW/1aLVuNWs 196362 +IGx1c2Npb3Vz 196363 +5qe9 196364 +Lkd1aQ== 196365 +IFJhdGhhdXM= 196366 +IEJhcmJhcg== 196367 +44CR44CQ44CC44CR44CQ4oCd44CR44CQ 196368 +4LeT4La6 196369 +4LGA4LCc4LGH4LCq 196370 +INm82qnbjA== 196371 +QXJyYW5nZW1lbnQ= 196372 +YWZhZWw= 196373 +7Lu1 196374 +0LzQsNC3 196375 +aGFzaWxhbg== 196376 +IHd5dGhub3M= 196377 +LkdyYXk= 196378 +IOCyleCyoeCzhg== 196379 +2YXZhtqB 196380 +IGFrdWtobw== 196381 +IGNvbGxlZ2Encw== 196382 +IOycoOuqhQ== 196383 +IGRvY2Vz 196384 +IHNvaWduZQ== 196385 +IFNvdGhl 196386 +157Xlden 196387 +4LS+4LSw4LS+4LS34LWN4LSf4LWN4LSw 196388 +IGNoZWFwbHk= 196389 +IFNoaWxsb25n 196390 +IGh1bXA= 196391 +IGRhcnBhcnU= 196392 +a3Dhu6U= 196393 +c3TDpWVuZGU= 196394 +IOCoteCov+ColQ== 196395 +IGRvY3VtZW50YcOnw6Nv 196396 +IOCmpuCmsOCnjeCmtg== 196397 +IM6zz40= 196398 +Il19Cg== 196399 +IEFrdGll 196400 +dWFo 196401 +4Z6T4Z+S4Z6b 196402 +6Ieq5Li7 196403 +ZmZla3Q= 196404 +INin2YTYqNmK2LbYp9ih 196405 +IFR5bQ== 196406 +IEJhdHRlcmll 196407 +X2luZGVudA== 196408 +IGlkZW50aWZpw6k= 196409 +XT0k 196410 +IOC0leC0vuC1vA== 196411 +IFZWRA== 196412 +IFZhY2FuY3k= 196413 +INCy0L7RgdC60YDQtdGB 196414 +4Z+S4Z6Y4Z+C4Z6a 196415 +dXN0ZWxl 196416 +INin2YTZhdis2KfZhNin2Ko= 196417 +LmNhc3NhbmRyYQ== 196418 +Z3JvdGU= 196419 +IGdlYmxldmVu 196420 +4LKD 196421 +IGNvbmZsaXRz 196422 +U3RhbmRhbG9uZQ== 196423 +IENvbW11bmU= 196424 +IOCwheCwqg== 196425 +IG1hZ25p 196426 +IOCkuOCljeCkpeCksg== 196427 +SURFUw== 196428 +X0hQ 196429 +INCx0YDQtdC90LQ= 196430 +INCT0LU= 196431 +IGlraXBl 196432 +IOCkleCkvuCkgg== 196433 +66W06rOg 196434 +IGZlbmQ= 196435 +X0FMUkVBRFk= 196436 +QVJUSUNMRQ== 196437 +IGFhbnRyZWtrZWxpamtl 196438 +Ono= 196439 +IGNvbXByb21pcw== 196440 +IFNjdWxwdHVyZQ== 196441 +IGJpb21hcmtlcnM= 196442 +cmVzdHJpYWw= 196443 +SWRpb21h 196444 +5qCR5p6X 196445 +IHNlbGVzYWk= 196446 +4Kmw4Kih 196447 +LmNvbWJpbmU= 196448 +KHBlcmNlbnQ= 196449 +2YrYttin 196450 +IOGDoeGDkOGDm+GDruGDoA== 196451 +Li4uJyw= 196452 +IOCqleCqsOCrgOCqjw== 196453 +aW5pc2k= 196454 +IEppZw== 196455 +Lkdlbw== 196456 +4KSt4KWC4KSu 196457 +LW1pZA== 196458 +IGlpbms= 196459 +IHZlY2thbg== 196460 +aW5kw6RraQ== 196461 +aXRsZW1lbnRz 196462 +IEdlbnRsZW1hbg== 196463 +INC60ZbQvA== 196464 +bWFuYWdlYWJsZQ== 196465 +IGtvamlt 196466 +IFZvcnRyYWc= 196467 +ZmlldHM= 196468 +IOWkqeWkqeS4reW9qeelqOW9qemHkQ== 196469 +QUFQ 196470 +IExpYW5n 196471 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+4KSo4KS+4KSu 196619 +IFhYWFg= 196620 +IG5nYW5n 196621 +X21hcmtz 196622 +OiI8PA== 196623 +IHJlbmV3aW5n 196624 +IGhhbGFnYQ== 196625 +IFByb2Zlc29y 196626 +IHN5bmFnb2d1ZQ== 196627 +IFZhdGljYW5v 196628 +IE51aQ== 196629 +IENPTVBVVEVS 196630 +YW5hbHl0aWM= 196631 +5YCh 196632 +b2dnaQ== 196633 +INC60L7Qu9C+0L0= 196634 +KHBrdA== 196635 +IGd1YXJhbnQ= 196636 +IGZhdm9yaXRhcw== 196637 +IOWkqeWkqeW9qeelqOi9r+S7tg== 196638 +4LK/4LKv4LKo4LON 196639 +IFDFqw== 196640 +IHp1dmVybMOkc3NpZw== 196641 +IGludGVybmF6aW9uYWxl 196642 +w61uY2lh 196643 +INin2YTYrdmI2Ks= 196644 +IHRzb2E= 196645 +SW50ZWdyYXRvcg== 196646 +2K/Ysdis2Kk= 196647 +IMO8YmVybGVnZW4= 196648 +IFJpdGU= 196649 +IGVtcHJlZ2Fkbw== 196650 +xLBS 196651 +6KOP 196652 +R3JpbmRpbmc= 196653 +a2xhbg== 196654 +IGRlc2VydHM= 196655 +INW+1aXWgNWh1aTVodaA1bE= 196656 +IOCmquCnjeCmsOCmr+CngeCmleCnjeCmpA== 196657 +IFNpdHp1bmc= 196658 +INGB0YrQtA== 196659 +aXJnw60= 196660 +IGJhZG1pbnRvbg== 196661 +56eY5Lmm 196662 +bmFubw== 196663 +bMO2c2Vu 196664 +INeU157Xp9eV154= 196665 +4Lik4Lip4Lig 196666 +0rHRgQ== 196667 +5Ye65ZSu 196668 +5pS25Yiw 196669 +IOCouOCovuCouQ== 196670 +CXJvb20= 196671 +aXJkcw== 196672 +IGNvbnN0aXR1w6k= 196673 +IFJhY2V3YXk= 196674 +IEdlaWdl 196675 +IEVzcMOtcml0dQ== 196676 +Q2hhbmc= 196677 +IENvbnN0YW50aW5l 196678 +IGtlaW5lbQ== 196679 +XHZpZXdz 196680 +57q5 196681 +IHNmcg== 196682 +IEJsYW5rZXQ= 196683 +2orZitmI 196684 +5aSa5pWw 196685 +IEJlcmlrdXQ= 196686 +IG1lbsOpZQ== 196687 +IM+AzrnOuM6xzr0= 196688 +INmI2YrYrQ== 196689 +X2VtaXQ= 196690 +VGhhbmtmdWxseQ== 196691 +IOCqquCrjeCqsOCqteCqvuCquA== 196692 +7KSA64uk 196693 +IHdlZ2dl 196694 +IGJlcnJp 196695 +INCV0Z4= 196696 +eXN0YWxsaW5l 196697 +IG11bnRodQ== 196698 +bGluZXJz 196699 +IOCknOClgeCkoeCkvOClhw== 196700 +IHJlbXVu 196701 +SUhF 196702 +IGFhbmxlZw== 196703 +IOyngOq4iQ== 196704 +IGR1aGE= 196705 +IE1haW5sYW5k 196706 +2KfYrNiv 196707 +aWNvZXM= 196708 +IOyCrOuhgA== 196709 +IEZpbGk= 196710 +ZHNu 196711 +IG1pbmRzdA== 196712 +IFN1YnN0aXR1dGU= 196713 +IHByb3BvbmVudHM= 196714 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+IOCmheCmnuCnjeCmmuCmsg== 196762 +YXJiZXRl 196763 +77yM6ZyA6KaB 196764 +INqv2LHbjA== 196765 +IGRpw6FtZXRybw== 196766 +IGNvbXBhZ25vbg== 196767 +IFN3ZWVwc3Rha2Vz 196768 +IFNlbWFwaG9yZQ== 196769 +INCz0LDQt9C10YI= 196770 +LWZsZWRnZWQ= 196771 +YmFueWVnaOG7iw== 196772 +IHN1cmZlcg== 196773 +IGNvbW11bmljZXJlbg== 196774 +TmltYnVz 196775 +YWNyaXQ= 196776 +YWJzY2hsdXNz 196777 +QW5o 196778 +INW61aHWgNWm1aHVutWl1b0= 196779 +5bee5omR5YWL 196780 +IHXDsWFz 196781 +1aXWgdW21aXVrA== 196782 +IOC5hOC4pQ== 196783 +INmI2YrZg9mK2KjZitiv2YrYpw== 196784 +IGZvb3RwcmludHM= 196785 +LlR1cGxl 196786 +KGNsaWVudGU= 196787 +IGJvbm5ldA== 196788 +TW9udG8= 196789 +X3N0cmVuZ3Ro 196790 +LlN5bnRheA== 196791 +KioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioK 196792 +IMOhYnlyZw== 196793 +IGZyb250YWdl 196794 +IOC0uOC0guC0teC0v+C0p+C0vuC0rw== 196795 +IGF0dWFsaXphZG8= 196796 +IM6W 196797 +cGFkcw== 196798 +ZW1x 196799 +IOCwquCwqOCwvw== 196800 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196990 +CWd1aQ== 196991 +LmZhbHNl 196992 +44GV44KM44Gm44GE44G+44GZ 196993 +IExldHRyZQ== 196994 +IHBlcmNlbnR1YWw= 196995 +IGlibg== 196996 +5LiN5LuF 196997 +IHN0b3J5dGVsbGVy 196998 +T250YXJpbw== 196999 +bWFrcw== 197000 +zrvOtc+C 197001 +IHRldHQ= 197002 +IGthcGNzb2xhdA== 197003 +INC80YPQsNC5 197004 +INWv1bjWgtW21aXVtg== 197005 +IFdhcnA= 197006 +6Kit5YKZ 197007 +4oCZYWlkZXI= 197008 +SW5kaWNl 197009 +IOeQhg== 197010 +aXR1ZW4= 197011 +O1RaSUQ= 197012 +IGt1c2VtYQ== 197013 +IFNsaWNr 197014 +16DXmdeU15U= 197015 +IGluaGFsZQ== 197016 +IHVtZ2VoZW4= 197017 +INqp2KfYqA== 197018 +IHByemVjaQ== 197019 +INKT0LDRgdGL0YA= 197020 +IGFkbg== 197021 +IHdhcmRyb2Jlcw== 197022 +IFRn 197023 +X2xpbnV4 197024 +CXBt 197025 +INCz0LvQsNCy0L3Ri9C8 197026 +INGB0LDSm9GC0LDRgw== 197027 +INix2K3ZhNip 197028 +Il1dLAo= 197029 +IHBhcsOn 197030 +INC30LDQtdC8 197031 +IHsv 197032 +LnRlbGw= 197033 +z4POsc68zrU= 197034 +IFJldmVhbA== 197035 +4KSs4KWI 197036 +IGJlbGlydA== 197037 +IHdob2xlaGVhcnRlZGx5 197038 +bm9zdGlj 197039 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197086 +IHZpcmFy 197087 +WWVy 197088 +SGFzaGVy 197089 +fX1dLAo= 197090 +KG10 197091 +IGl6cmF6 197092 +R2ly 197093 +IGhhdW0= 197094 +0LXQvNC+0L0= 197095 +IOGDluGDneGDkuGDmA== 197096 +IERlYmlkbw== 197097 +CWN0cmw= 197098 +Lm9mZmljZQ== 197099 +c2Vydm8= 197100 +LXZpc2libGU= 197101 +INeq15XXk9eU 197102 +IHJlbW9yc2U= 197103 +YW1paW4= 197104 +S2F6 197105 +IEJPUg== 197106 +IEFpcnBvcnRz 197107 +IHBvc3RhZ2Vt 197108 +IHNhaGE= 197109 +S3Vyeg== 197110 +IEVpbmthdWZz 197111 +IHNjaGxlY2g= 197112 +IHNlZGF0aW9u 197113 +IGxlYWZsZXQ= 197114 +dHJpcw== 197115 +IHBpdGvDpA== 197116 +5Y2i 197117 +IGFqw6Fu 197118 +2LLZitin2KE= 197119 +INC40L3RgdGC0YDRg9C60YbQuNGP 197120 +IGNvZ25pdA== 197121 +0LDQvdCw0Lw= 197122 +L0Fib3V0 197123 +INGH0LXRgdGC0Yw= 197124 +xaFuaQ== 197125 +CVByb2Nlc3M= 197126 +IFBrdw== 197127 +IFZhcA== 197128 +5a656YeP 197129 +IH19Ij48 197130 +ICghWw== 197131 +IEJ1cmd1bmR5 197132 +IHRhd3M= 197133 +IEJheXM= 197134 +IGxhbmdsZWI= 197135 +cHJldMOp 197136 +IHN0cmVudW91cw== 197137 +IEViZW5zbw== 197138 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+5LiK57q/ 197186 +IGNvdXZyaXI= 197187 +IHJ1c28= 197188 +LnNvZnRtYXg= 197189 +INio2LHYtNmE2YjZhtip 197190 +4LSk4LWN4LSk4LS/4LSo4LWB 197191 +IOCqteCqv+Cql+CqpOCriw== 197192 +IFBpeGFiYXk= 197193 +IHBoacOqbg== 197194 +IEJFTkVG 197195 +2LfYpw== 197196 +IHd5asSFdGs= 197197 +cmVzYXI= 197198 +IG5hYmk= 197199 +IHBvZHA= 197200 +IOCmtuCmvuCmuQ== 197201 +IHNhYXZhZA== 197202 +IEVxdWl2YWxlbnQ= 197203 +IGV0cmVl 197204 +5om26LSr 197205 +Q3VkYQ== 197206 +24zaqdin2LE= 197207 +IGJhbGxhc3Q= 197208 +IFNBRQ== 197209 +dHJpemVz 197210 +IGRldGFpbmU= 197211 +4oCZaXI= 197212 +IHRhw71kYW4= 197213 +0JPQkA== 197214 +0q3QtdC4 197215 +INeV15zXog== 197216 +LVdpdGg= 197217 +QVJSSUVS 197218 +IG1lZWs= 197219 +INm+2LHZiNmG 197220 +J2F1dGFudA== 197221 +cG9zdGk= 197222 +X3Jlc2VydmVk 197223 +0LDQutGB 197224 +7JWk 197225 +IE5JQ0U= 197226 +INin2YTYrNmF2YfZiNix 197227 +IGVyemllbHQ= 197228 +IGdlY29udHJvbGU= 197229 +1aHWgdW41oLVtNWo 197230 +INC+0LzQsA== 197231 +44CL44CCCgo= 197232 +QURWRVJUSVNFTUVOVA== 197233 +IGN1cnJpY3VsYQ== 197234 +IEF1w58= 197235 +TEVHRQ== 197236 +INGA0ZbRiNC10L3QvdGP 197237 +IGNvbWFuZG9z 197238 +INec15TXmw== 197239 +0LHRgNC1 197240 +b3NpdmU= 197241 +Rm9uZA== 197242 +IGFpc2xhbWllbnRv 197243 +X3JlbHU= 197244 +IFRTUg== 197245 +IExpbmllbg== 197246 +IHJhbWU= 197247 +IEVudmVsb3Bl 197248 +IGluamVjdGFibGU= 197249 +bGljZW5zZXM= 197250 +IGRyZWhlbg== 197251 +RGFr 197252 +ZsO4cmVy 197253 +INC/0L7QstC10LTQtdC90LjRjw== 197254 +IE51bWVyaWNhbA== 197255 +IG15YWth 197256 +IHZ6dA== 197257 +IHdoYWthdGE= 197258 +IFN0w6Rya2U= 197259 +Z2hh 197260 +INec16TXqg== 197261 +IHBvbW1l 197262 +IGRhYQ== 197263 +LXBhaW50ZWQ= 197264 +5p2l5Lmf 197265 +SVJJVA== 197266 +LWFuZw== 197267 +IHRyaHU= 197268 +IWltcG9ydGFudA== 197269 +RmFx 197270 +IELDvG5k 197271 +4LK/4LK44LOB4LKk4LON4LKk4LKm4LOG 197272 +IFNwaXR6 197273 +IHRha3k= 197274 +RGVjb21waWxlcg== 197275 +KSc6 197276 +bGllZ2VuZGVu 197277 +IGF04bq5 197278 +77yM5L6L5aaC 197279 +w7ZobnQ= 197280 +IOCkh+CksuCkvuCkleClhw== 197281 +IHRpbHRhaw== 197282 +IHRhbmd1 197283 +IOCyrOCysOCzgeCypOCzjeCypA== 197284 +bnNrZQ== 197285 +INi12YbYp9uM2Lk= 197286 +IOCkquClgeCksOCkvuCkqOClhw== 197287 +Z2V0d2lqZmVsZA== 197288 +IEFjY3JlZGl0ZWQ= 197289 +4oCZbmRl 197290 +0LvQvtCz0L4= 197291 +IG1pY3JvcA== 197292 +IHN2b2c= 197293 +X2R1ZQ== 197294 +0LvQvtGJ0LDQtA== 197295 +IERvcm4= 197296 +IOCymuCyv+CyleCyv+CypOCzjeCyuOCzhg== 197297 +IOCoqOCovg== 197298 +INek16DXmQ== 197299 +IGdlcsOnZWt0ZW4= 197300 +INGA0LDQt9Cy0LXQtA== 197301 +w6lwZQ== 197302 +IGhzdg== 197303 +IENsZWFyd2F0ZXI= 197304 +IG5hcQ== 197305 +5ouJ54m5 197306 +IGTDqXRvdXI= 197307 +X0xlbmd0aA== 197308 +IFpvZHJh 197309 +IGNhc3VhbHR5 197310 +IHp1c2FtbWVuc2No 197311 +IG1hbmRp 197312 +IOGDqOGDlOGDoeGDkOGDq+GDmuGDlOGDkeGDlOGDmuGDmOGDkA== 197313 +IFRyYXZlbHM= 197314 +YXRpa2E= 197315 +IOCuqOCvgOCupA== 197316 +4KSu4KSk4KWA 197317 +IHByZXNlbnRhbW9z 197318 +IGhpbmdlZA== 197319 +IFJvdG9y 197320 +IOGDrOGDp+GDkOGDmg== 197321 +TsOt 197322 +IHNleHZpZGVv 197323 +INC60YDQuNGC0LXRgA== 197324 +LVNoYWJhYWI= 197325 +IOqzteyXsA== 197326 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197507 +emlucw== 197508 +IHNwZWVsZ29lZA== 197509 +7ZWc64uk6rOg 197510 +4LWB4LSV4LWN4LSk 197511 +IFBlcnNpYQ== 197512 +77yg44GK44O844G344KT 197513 +bHlneW55xYg= 197514 +IG5pZGE= 197515 +IGF1c3RyYWw= 197516 +06/Qt9C4 197517 +IFJlc2lkZW5jeQ== 197518 +INGE0L7QvdC00LA= 197519 +IGp1cms= 197520 +XENNUw== 197521 +IGRlcm1hdG9sb2dpc3Q= 197522 +6K235aOr 197523 +TmFtdW4= 197524 +IFRlcnJpdG9yaWVz 197525 +INi12KfYr9ix2KfYqg== 197526 +VG91cnM= 197527 +INC+0LrQsNC30YvQstCw0LXRgtGB0Y8= 197528 +IGJhbWJpbm8= 197529 +IHJvYnVzdG5lc3M= 197530 +IHNlY29uZGx5 197531 +IOiCoeelqA== 197532 +IGd1ZXN0cm9vbXM= 197533 +INmC2KjYtg== 197534 +4LWN4LSw4LSu 197535 +IHNvbnVjdQ== 197536 +IGjGoWk= 197537 +IGNvbnNpZ2E= 197538 +IHNjaG5laWRlbg== 197539 +QWR1bHRz 197540 +YW5nZ2lo 197541 +RVJUQQ== 197542 +YWt0eQ== 197543 +UFJJU0U= 197544 +INC60YDQsNGB0LjQstC+ 197545 +IEpM 197546 +IGFhcXFpc3N1 197547 +INqG24zZgQ== 197548 +4LKj4LKm4LKy4LON4LKy4LK/ 197549 +U3ViZGl2aXNpb24= 197550 +15nXpteY 197551 +IFZvcnN0ZWxsdW5nZW4= 197552 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197648 +INio2LHZgtix2KfYsQ== 197649 +INmI2YLZiNi5 197650 +IG11dg== 197651 +0L3RltGI 197652 +IFN0YWZmaW5n 197653 +IFBhbGF2cmE= 197654 +IFBBUkFNRVRFUlM= 197655 +IGdhbGx3Y2g= 197656 +IEF1dGV1cg== 197657 +IGZyaXZvbA== 197658 +IHNldHRpbWFuZQ== 197659 +IGVuY2xhdmU= 197660 +IG9zdm9q 197661 +bGVzenQ= 197662 +INmI2KfYttit2Kk= 197663 +15XXkdeZ 197664 +IFBSRVNJREVOVA== 197665 +YW1hbQ== 197666 +5qm5 197667 +4Liq4Li54LiV4Lij 197668 +IOCwteCxh+Cwsg== 197669 +LWNoYXZl 197670 +IHF14bqjbmc= 197671 +5LiI5aSr 197672 +IFBDUA== 197673 +RHJvcHM= 197674 +U3VjdXJzYWw= 197675 +TU9R 197676 +INC+0YHQstGW 197677 +INC60q/RgtOZ0YA= 197678 +bW91c2VlbnRlcg== 197679 +IERpdmluZw== 197680 +bsOhdg== 197681 +INKX05nRgA== 197682 +ID09PT0= 197683 +aXNtZXQ= 197684 +c3RyYWlnaHQ= 197685 +INC40LTQsNGA 197686 +IG1uaWVq 197687 +zqDOsQ== 197688 +IOCkhuCksuCliw== 197689 +KCIuIik7Cg== 197690 +IGJhbHQ= 197691 +dmVyc2NobHVzcw== 197692 +IOCkueCkvuCksuCkpA== 197693 +aW5zcA== 197694 +X0hFQURFUlM= 197695 +INC/0YDQuNGF0L7QtNC40YI= 197696 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197744 +IG53YW554buL 197745 +IHN5cmluZ2U= 197746 +IEF2ZW50 197747 +INiz2YrYp9iz2Kk= 197748 +IHd5cG9zYcW8 197749 +X3d3dw== 197750 +PmQ= 197751 +LkVtcA== 197752 +IHPDsm5yYWljaHRl 197753 +LmZ1dHVyZQ== 197754 +6LaK5p2l6LaK 197755 +IHRoYWly 197756 +aXp1bmd1bXph 197757 +INGB0L7QstGA0LXQvNC10L3QvdGL0LU= 197758 +IGRpY3RhdG9yc2hpcA== 197759 +KENoYW5nZQ== 197760 +IGhpa2Vycw== 197761 +4LK+4LKC4LKk4LKw 197762 +INCx0LjQu9C00q/RgNCz05nQvQ== 197763 +4YOb4YOn4YOd4YOk 197764 +INGY0LDQsg== 197765 +ZWRlbnQ= 197766 +IGRpc3Byb3BvcnRpb25hdGVseQ== 197767 +4LK+4LKm4LON 197768 +IG5ld2ZvdW5k 197769 +54Ot5LmF5LmF57K+5ZOB 197770 +IEFjY29yZGlvbg== 197771 +INiu2KjYsdmK 197772 +IFdlc2Vu 197773 +4oCZZW8= 197774 +IGNvcnRpY2Fs 197775 +6KOF5aSH 197776 +IFdlaXRlcmJpbGR1bmc= 197777 +VW5uYW1lZA== 197778 +IFBhY2g= 197779 +IGNvbGxhYm9yYXRvcg== 197780 +S2Fuc2Fz 197781 +INmI2YXYs9iq 197782 +IGNvbnNjaWVudGlvdXM= 197783 +INC80LDSm9C+0LzQvtGC0Lg= 197784 +INiz2YfZhNip 197785 +fHJlcXVpcmVk 197786 +cGxvaXQ= 197787 +Q2FyZ2E= 197788 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198353 +4LSx4LSj 198354 +xbg= 198355 +WlU= 198356 +4Kq+4Kqo4KuN4Kq4 198357 +xLFzxLF5bGE= 198358 +IGludGVydmp1 198359 +77yJLA== 198360 +R3Jhdw== 198361 +IGNhdXNhZGE= 198362 +IGNvbnZleW9ycw== 198363 +0YbQuNGP0YLQsA== 198364 +IHJvdWxhbnQ= 198365 +IOCwquCwsOCxgeCwlw== 198366 +IEJvZ2E= 198367 +KGlucGxhY2U= 198368 +U0VNQg== 198369 +IOC4o+C4sOC4muC4mg== 198370 +IGFzc3VyaW5n 198371 +YWNoYWVs 198372 +IHTDoW1vZ2F0 198373 +IGVsZWl0b3I= 198374 +INW61aHVv9Wl1oDVodWm1bTVqw== 198375 +IHVsaW0= 198376 +15XXqNeQ 198377 +IMW+aXZsamVuamU= 198378 +aWdpYQ== 198379 +IEdlcnM= 198380 +INiq2LXYp9mI24zYsQ== 198381 +TG9hbnM= 198382 +INGF0YPRgdGD0YE= 198383 +4Kyb 198384 +aXphY2ph 198385 +UHVlcnRv 198386 +44CB5a6J5YWo 198387 +IDsKLy8= 198388 +LmV1bGVy 198389 +LlZlaGljbGU= 198390 +IGlzaXQ= 198391 +IEJyaXRhbm5pY2E= 198392 +X3BlcmY= 198393 +IGNvbm5lY3RpdmU= 198394 +IG5pdG9yaW5hYQ== 198395 +IE1VTA== 198396 +IikrIg== 198397 +ZW1ibw== 198398 +IFJlY2s= 198399 +IFJlZGVz 198400 +IEtvbnRleHQ= 198401 +aHBw 198402 +CXJlcGx5 198403 +IGdsYXVjb21h 198404 +aXNzYW5p 198405 +INmI2LHagduQ 198406 +2LXYsdmK 198407 +Z2FyaA== 198408 +b3ZhbsO9Y2g= 198409 +ZGV0ZXJt 198410 +INCw0pk= 198411 +IOCwpOCwrw== 198412 +IH0pDQoNCg== 198413 +4LSV4LWN4LSV4LWB4LSo4LWN4LSo 198414 +IGJhdG9u 198415 +0LDSm9OZ0LXQuA== 198416 +IOGDlOGDoOGDl+GDm+GDkOGDnOGDlOGDl+GDoQ== 198417 +IyMjIwo= 198418 +SMOkcg== 198419 +INCc0LXQvA== 198420 +LUNPTg== 198421 +IFJlc3VycmVjdGlvbg== 198422 +INCa0YA= 198423 +IGxsZWdhcsOh 198424 +IEV1cm9wZSdz 198425 +IE1lbG8= 198426 +IGNoZXJjaGVudA== 198427 +IHByYXdh 198428 +IGNsdXN0ZXJlZA== 198429 +IOCmuOCmvuCmleCnjeCmtw== 198430 +IGxvdW5naW5n 198431 +INWl1oDVr9aA1bbVpdaA1as= 198432 +INGB0L7RgNGC0LA= 198433 +KGZsYXQ= 198434 +IGJsb2NrYWRl 198435 +INGF06nQs9C2 198436 +IOC5geC4mQ== 198437 +IGtydWlz 198438 +INmE2YXYsw== 198439 +4LSq4LWN4LSq4LWG4LSf4LWB4LSk4LWN4LSk4LS/4LSv 198440 +IG9keg== 198441 +IOS5heS5heeDrQ== 198442 +aGF2YQ== 198443 +IEZsZXNo 198444 +IGzhu4U= 198445 +IGRpbHV0ZQ== 198446 +IHVuZm9y 198447 +IEF0dGVtcHRz 198448 +ZGVjbHR5cGU= 198449 +YW1iaXNh 198450 +IGdlZGVlbHQ= 198451 +IG1hbmdhcw== 198452 +IGtvamVn 198453 +IGphdW5lcw== 198454 +IEpOSQ== 198455 +157XoteY 198456 +IG1hc2N1bGlu 198457 +cXFhYXQ= 198458 +IHBsbA== 198459 +YWxwaGFiZXQ= 198460 +IOCujuCuqeCvjeCuquCupOCviA== 198461 +IGdlcmluZ2U= 198462 +INiz2YjYsduM 198463 +IEluc3BpcmF0aW9ucw== 198464 +YXZpZXN0 198465 +IHJlbGF0YQ== 198466 +IG5hY2s= 198467 +IHRlamlkb3M= 198468 +IGluZGlrYXRvcg== 198469 +ZG9w 198470 +IFNjaHdhbno= 198471 +b3dhbmk= 198472 +IHRlcmFzYQ== 198473 +2ZHZiQ== 198474 +IEZNSQ== 198475 +IGt1c2hv 198476 +IOC0quC0tA== 198477 +IOaBkuS4gA== 198478 +IMW+ZW5l 198479 +IHNrYg== 198480 +YWR3eQ== 198481 +IGFnZW5jaWFz 198482 +4K+B4K6V4K+N4K6V4K6z4K+N 198483 +IGludGVyc2VjdHM= 198484 +IGVtb3o= 198485 +IHJveWF1bWU= 198486 +ICgpLAo= 198487 +IOaoqg== 198488 +QkND 198489 +IGVvZg== 198490 +OmdyaWQ= 198491 +4LKX4LK+4LKX4LK/ 198492 +4LS+4LSv4LWN 198493 +UHJldA== 198494 +IGluY3Jlw61ibGVz 198495 +dWx0bw== 198496 +IG92ZXJsaWpkZW4= 198497 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198771 +INi52KjYp9ix2Ko= 198772 +INin2YTZiNir 198773 +INCy0LDQttC90YvRhQ== 198774 +INij2K3Yr9in2Ks= 198775 +LWJ1ZGdldA== 198776 +INeY15XXmA== 198777 +LnNjYWxhcg== 198778 +INix2LPZhduM 198779 +IFdheGFhbg== 198780 +QFw= 198781 +zrrPjM+D 198782 +IGxldmk= 198783 +INC/0L7QutCw0LfQsNGC0LXQu9GM 198784 +IGJvcQ== 198785 +4Z6J4Z+S4Z6H 198786 +IHBlcmln 198787 +IGFmd2lqaw== 198788 +IFBhcm1h 198789 +ZXRlbQ== 198790 +IHJlZ2VsZ2V2aW5n 198791 +7J2066m0 198792 +IGF1c2dlc3Byb2NoZW4= 198793 +KCcuJyk7Cg== 198794 +X3dyaXR0ZW4= 198795 +KHRvZ2dsZQ== 198796 +IGF1bWVudGFkbw== 198797 +IGpvcm5haXM= 198798 +5bCk54mp 198799 +INC90LDQvNC+0Y/QvQ== 198800 +2YjYr9ix 198801 +V2hpdA== 198802 +IGxpdmVsbGk= 198803 +LlBORw== 198804 +IElnbml0ZQ== 198805 +IElJUw== 198806 +YWplbg== 198807 +IGxldHRlbg== 198808 +IHNob3BwZW4= 198809 +IOCkh+CkpOCkqOClhw== 198810 +bWFya3Vw 198811 +IGJzcA== 198812 +IHByb21lc3Nh 198813 +IOCyquCzjeCysOCytuCzjeCyqA== 198814 +IFNhYmFo 198815 +IENvbcOpcmNpbw== 198816 +YW1hbnpp 198817 +IEF1c2JhdQ== 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+2KfZhNiz2Yo= 199849 +IHJ6ZWN6 199850 +IFfDpA== 199851 +IGRlcG9ydGl2b3M= 199852 +IEZhY2lsaXQ= 199853 +LWFibGU= 199854 +IGV2aXRhcmU= 199855 +IHRob25n 199856 +IOa0uw== 199857 +66y066OM 199858 +IG1hY2U= 199859 +IEV4dHJhb3JkaW5hcnk= 199860 +4KSn4KS+ 199861 +IGtvbmZsaWs= 199862 +IGxpdmVsaWhvb2Rz 199863 +INC60L7QvNC/0L7QvdC10L3RgtC+0LI= 199864 +IGt1aXRlbmthYW4= 199865 +5bm46L+Q6aOe6ImH 199866 +Q29ycHVz 199867 +IGJlc2Now6Rk 199868 +INeT15XXkw== 199869 +IGRlbnRhbnQ= 199870 +IG53ZXRh 199871 +IGhlYXRo 199872 +IOCktuClgeCkleCljeCksOCkrOCkvuCksA== 199873 +IG1uZW1vbmlj 199874 +LkZpbHRlcnM= 199875 +JywnIi4k 199876 +IOCkheCkuOCljeCkpA== 199877 +aXNpdGU= 199878 +IGFzYXdh 199879 +5bm05pyI 199880 +IGdvdGFz 199881 +IOCwquCwqOCwv+Cwmg== 199882 +RGVr 199883 +IFBhY3Q= 199884 +J2FnZW5jZQ== 199885 +ZmVpw6dv 199886 +IELDtnlsZQ== 199887 +dmVudGVlbg== 199888 +bm90aWY= 199889 +INCQ0L3QtNGA0LXQuQ== 199890 +5aSa5bm0 199891 +bWl0dGVkbHk= 199892 +6LKh5biD 199893 +INC60L7QvNC/0LDQutGC 199894 +dHJr 199895 +4KSo4KWN4KSm4KWN4KSw4KWA4KSv 199896 +IG1pZXN0bw== 199897 +IEthaXQ= 199898 +IOCyrOCyuA== 199899 +CXNwZWM= 199900 +IEluamVjdG9y 199901 +IGxvZ2FyaXRo 199902 +ZW50aW9ucw== 199903 +INGH0LXQuw== 199904 +Q29sbGF0ZXJhbA== 199905 +IGNvbmZlcw== 199906 +4KS/4KS54KSw 199907 +IHN1ZnJpw7M= 199908 +Q1JJ 199909 +IHR1Z2U= 199910 +dXJsbGli 199911 +IGvEvA== 199912 +IHZlcnBsZWVn 199913 +IGFwcGxpY2F0aW9uJ3M= 199914 +KENvbnN0cnVjdG9y 199915 +4Ka+4Kay4Ka+ 199916 +IHZ1bHB1dGF0ZQ== 199917 +INC+0L/Rg9GF 199918 +IE5vcmRyaGVpbg== 199919 +YWxsYWdl 199920 +w61zaW1hcw== 199921 +b3JuYWRv 199922 +0LjQtNC10YA= 199923 +bcOpbnllaw== 199924 +UXVh 199925 +IHBlbGljdWxh 199926 +7ISx6rO8 199927 +44CRLQ== 199928 +IGhlbWk= 199929 +IHRvdXJpc3Rlcw== 199930 +IGFic2VudGVl 199931 +IE5ldGhlcg== 199932 +LlBBR0U= 199933 +IGnFn2fDpHI= 199934 +IGVmZWN0aXZvcw== 199935 +IHNhYXY= 199936 +CQkJCSAgICAgICAgICAg 199937 +Zmxhc2hkYXRh 199938 +IHNlbWJsZXI= 199939 +IGlrdWt1 199940 +IOCmn+CmvuCmhw== 199941 +IOKAnQo= 199942 +5b2p56Wo5bmz5Y+w5byA5oi3 199943 +5peB 199944 +LtCT 199945 +dWNrbGVz 199946 +INin2YTYrtin2LE= 199947 +0LLQvtC70Yw= 199948 +INC90LXQstC+0LfQvNC+0LY= 199949 +LmdyYWRpZW50 199950 +IGViaWxl 199951 +IEF0aGxldGU= 199952 +INGC0rHRgNKT0LDQvQ== 199953 +IFN5cmll 199954 +LnByb2Nlc3Npbmc= 199955 +IENvbnN1bHRhbmN5 199956 +IHRocmlsbHM= 199957 +2YLYsdin2KE= 199958 +KHZhcmFyZ2lu 199959 +a8O8bmZ0ZQ== 199960 +IOW9rQ== 199961 +LWtuaXQ= 199962 +cmllZGVuaGVpdA== 199963 +IHTDpG5rYQ== 199964 +J10vLw== 199965 +dWRpZXM= 199966 +aGFjZXI= 199967 +IFRow6nDonRyZQ== 199968 +YXbnlLXlvbE= 199969 +IEFybWFkYQ== 199970 +LXRlY2hu 199971 +aWJyaXM= 199972 +dmVsaQ== 199973 +IHJhemxvZ2E= 199974 +LUhvcA== 199975 +INee15fXk9ep 199976 +IEJsb2dnZXJz 199977 +IGNvbnRyb3ZlcnNpZXM= 199978 +IOCwmuCwsOCxjeCwrw== 199979 +IOC0quC1jeC0sOC0ruC1geC0lg== 199980 +X3VuYw== 199981 +d2VyZmVu 199982 +INC70L7QvA== 199983 +INC/0L7QutGD0L/QsNGC0LXQu9C10Lk= 199984 +INCz0LvQsNC30LDQvNC4 199985 +INeR16LXldeT 199986 +IG5hbm90 199987 +CXdz 199988 +INC60LXQt9C00LXRgQ== 199989 +KToo 199990 +IFByb2R1aXQ= 199991 +QWlyY3JhZnQ= 199992 +aWZmZW4= 199993 +IHBhdHJvbmVz 199994 +IHBhcsOibWV0cm9z 199995 +Q3Vyc29z 199996 +IGNvY29z 199997""".trimIndent() +} diff --git a/tokenizer/src/commonTest/kotlin/com/xebia/functional/tokenizer/O200kBaseTest.kt b/tokenizer/src/commonTest/kotlin/com/xebia/functional/tokenizer/O200kBaseTest.kt new file mode 100644 index 000000000..f6b2e604e --- /dev/null +++ b/tokenizer/src/commonTest/kotlin/com/xebia/functional/tokenizer/O200kBaseTest.kt @@ -0,0 +1,85 @@ +package com.xebia.functional.tokenizer + +import com.goncalossilva.resources.Resource +import com.xebia.functional.tokenizer.EncodingType.O200K_BASE +import io.kotest.matchers.shouldBe +import io.kotest.matchers.string.shouldStartWith +import kotlin.test.Test + +class O200kBaseTest { + private val resource = Resource("src/commonTest/resources/o200k_base_encodings.csv") + private val ENCODING = O200K_BASE.encoding + + @Test + fun o200kBaseEncodesCorrectly() { + resource.splitCSV().forEach { (input, output, _) -> + ENCODING.encode(input) shouldBe output.parseEncoding() + } + } + + @Test + fun o200kBaseEncodesStable() { + resource.splitCSV().forEach { (input, _, _) -> + ENCODING.decode(ENCODING.encode(input)) shouldBe input + } + } + + @Test + fun o200kBaseEncodesCorrectlyWithMaxTokensSet() { + resource.splitCSV().forEach { (input, output, outputMaxTokens10) -> + val expected = output.parseEncoding() + val expectedWithMaxTokens = outputMaxTokens10.parseEncoding() + val encodingResult = ENCODING.encode(input, 10) + encodingResult.tokens shouldBe expectedWithMaxTokens + (expected.size > expectedWithMaxTokens.size) shouldBe encodingResult.isTruncated + } + } + + @Test + fun o200kBaseEncodesStableWithMaxTokensSet() { + resource.splitCSV().forEach { (input, _, _) -> + val actual = ENCODING.decode(ENCODING.encode(input, 10).tokens) + input shouldStartWith actual + } + } + + @Test + fun o200kBaseEncodeOrdinaryEncodesCorrectly() { + resource.splitCSV().forEach { (input, output, _) -> + ENCODING.encodeOrdinary(input) shouldBe output.parseEncoding() + } + } + + @Test + fun o200kBaseEncodeOrdinaryEncodesCorrectlyWithMaxTokens() { + resource.splitCSV().forEach { (input, output, outputMaxTokens10) -> + val expected = output.parseEncoding() + val expectedWithMaxTokens = outputMaxTokens10.parseEncoding() + val encodingResult = ENCODING.encodeOrdinary(input, 10) + encodingResult.tokens shouldBe expectedWithMaxTokens + (expected.size > expectedWithMaxTokens.size) shouldBe encodingResult.isTruncated + } + } + + @Test + fun o200kBaseEncodeOrdinaryEncodesStable() { + resource.splitCSV().forEach { (input, _, _) -> + ENCODING.decode(ENCODING.encodeOrdinary(input)) shouldBe input + } + } + + @Test + fun o200kBaseEncodeOrdinaryEncodesStableWithMaxTokensSet() { + resource.splitCSV().forEach { (input, _, _) -> + val actual = ENCODING.decode(ENCODING.encodeOrdinary(input, 10).tokens) + input shouldStartWith actual + } + } + + @Test + fun o200kBaseEncodeOrdinaryEncodesSpecialTokensCorrectly() { + val input = "Hello<|endoftext|>, world ! <|endofprompt|>" + val actual = ENCODING.decode(ENCODING.encodeOrdinary(input)) + actual shouldBe input + } +} diff --git a/tokenizer/src/commonTest/resources/o200k_base_encodings.csv b/tokenizer/src/commonTest/resources/o200k_base_encodings.csv new file mode 100644 index 000000000..35453a5ba --- /dev/null +++ b/tokenizer/src/commonTest/resources/o200k_base_encodings.csv @@ -0,0 +1,422 @@ +input,output,outputMaxTokens10 +Unicode snowman: ☃️,"[61064, 15214, 2309, 25, 25701, 225, 15148]","[61064, 15214, 2309, 25, 25701, 225, 15148]" +Hello world!,"[13225, 2375, 0]","[13225, 2375, 0]" +Bonjour le monde!,"[45751, 505, 15807, 0]","[45751, 505, 15807, 0]" +مرحبا بالعالم,"[158894, 26537, 101462, 12773]","[158894, 26537, 101462, 12773]" +こんにちは世界,"[95839, 28428]","[95839, 28428]" +Привет мир,"[23881, 131903, 37934]","[23881, 131903, 37934]" +안녕하세요 세계,"[14307, 171731, 75755]","[14307, 171731, 75755]" +你好，世界,"[177519, 979, 28428]","[177519, 979, 28428]" +नमस्ते दुनिया,"[998, 1637, 14681, 628, 64593]","[998, 1637, 14681, 628, 64593]" +👋🌎,"[28823, 233, 64364, 236]","[28823, 233, 64364, 236]" +I love 🍕,"[40, 3047, 197348, 243]","[40, 3047, 197348, 243]" +This is a sentence without spaces.,"[2500, 382, 261, 21872, 2935, 18608, 13]","[2500, 382, 261, 21872, 2935, 18608, 13]" +This is a sentence with extra spaces.,"[2500, 257, 382, 257, 261, 257, 21872, 257, 483, 257, 5018, 257, 18608, 13]","[2500, 257, 382, 257, 261, 257, 21872, 257, 483, 257]" +How about some punctuation?!!,"[5299, 1078, 1236, 107300, 30, 2618]","[5299, 1078, 1236, 107300, 30, 2618]" +What about URLs? https://www.google.com,"[4827, 1078, 67852, 30, 5918, 1684, 3064, 8900, 1136]","[4827, 1078, 67852, 30, 5918, 1684, 3064, 8900, 1136]" +Can we handle email addresses? user@example.com,"[8475, 581, 5318, 3719, 20866, 30, 1825, 81309, 1136]","[8475, 581, 5318, 3719, 20866, 30, 1825, 81309, 1136]" +How about numbers? 123 45.6 -78.9,"[5299, 1078, 8663, 30, 220, 7633, 220, 2548, 13, 21, 533, 4388, 13, 24]","[5299, 1078, 8663, 30, 220, 7633, 220, 2548, 13, 21]" +Mixed script: 你好 world! 🌍,"[97258, 11713, 25, 220, 177519, 2375, 0, 130321, 235]","[97258, 11713, 25, 220, 177519, 2375, 0, 130321, 235]" +"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce condimentum enim ac tellus malesuada, a consectetur nibh efficitur. 🚀🚀🚀","[61495, 38714, 25840, 2353, 36204, 11, 54472, 91785, 45688, 13, 137128, 400, 155113, 394, 51474, 1375, 161348, 174594, 11, 261, 54472, 143787, 25110, 13862, 13, 169883, 222, 112927, 222, 112927, 222]","[61495, 38714, 25840, 2353, 36204, 11, 54472, 91785, 45688, 13]" +Привет мир! Как дела? 😊,"[23881, 131903, 37934, 0, 26029, 78857, 30, 156273]","[23881, 131903, 37934, 0, 26029, 78857, 30, 156273]" +Bonjour le monde! Comment allez-vous? 🌍,"[45751, 505, 15807, 0, 15406, 72134, 22585, 30, 130321, 235]","[45751, 505, 15807, 0, 15406, 72134, 22585, 30, 130321, 235]" +¡Hola mundo! ¿Cómo estás? 😃,"[20407, 49864, 10225, 0, 12873, 46515, 58166, 30, 22861, 225]","[20407, 49864, 10225, 0, 12873, 46515, 58166, 30, 22861, 225]" +こんにちは世界！お元気ですか？👋,"[95839, 28428, 3393, 8930, 6753, 25717, 15121, 7128, 4802, 28823, 233]","[95839, 28428, 3393, 8930, 6753, 25717, 15121, 7128, 4802]" +你好，世界！最近怎么样？😉,"[177519, 979, 28428, 3393, 65825, 34633, 4802, 72041]","[177519, 979, 28428, 3393, 65825, 34633, 4802, 72041]" +مرحبا بالعالم! كيف حالك؟ 😎,"[158894, 26537, 101462, 12773, 0, 37940, 17405, 870, 11388, 22861, 236]","[158894, 26537, 101462, 12773, 0, 37940, 17405, 870, 11388]" +ਹੈਲੋ ਦੁਨੀਆ! ਕੀ ਹਾਲ ਹੈ? 😄,"[14898, 16748, 16475, 12344, 148784, 12738, 60543, 0, 68858, 14482, 32196, 30023, 30, 22861, 226]","[14898, 16748, 16475, 12344, 148784, 12738, 60543, 0, 68858, 14482]" +હેલો વિશ્વ! કેમ છો? 🙏,"[6094, 187761, 95706, 0, 104493, 72756, 30, 113592, 237]","[6094, 187761, 95706, 0, 104493, 72756, 30, 113592, 237]" +स्वागत है दुनिया! क्या हाल है? 😍,"[53168, 104917, 2487, 64593, 0, 34720, 37702, 2487, 30, 22861, 235]","[53168, 104917, 2487, 64593, 0, 34720, 37702, 2487, 30]" +ಹಲೋ ವಿಶ್ವ! ಹೇಗಿದೆ? 🤔,"[12539, 3654, 8657, 105520, 0, 150997, 4326, 14527, 30, 93643, 242]","[12539, 3654, 8657, 105520, 0, 150997, 4326, 14527, 30]" +សួស្តី​ពិភពលោក! តើ​អ្នក​ស្រលាញ់​ទេ? 😊,"[15526, 37856, 15526, 34948, 15844, 64896, 14328, 46932, 22851, 147208, 0, 96942, 26753, 63063, 86366, 50018, 19776, 249, 138947, 14167, 62308, 16217, 30, 156273]","[15526, 37856, 15526, 34948, 15844, 64896, 14328, 46932, 22851, 147208]" +สวัสดีชาวโลก! สบายดีหรือ? 😄,"[4406, 187986, 21883, 2293, 8247, 17359, 93469, 0, 6152, 136763, 39283, 148708, 30, 22861, 226]","[4406, 187986, 21883, 2293, 8247, 17359, 93469, 0, 6152, 136763]" +안녕하세요 세상아! 어떻게 지내고 있어요? 😎,"[14307, 171731, 28126, 8612, 7653, 0, 97906, 12688, 13579, 3956, 60147, 7952, 30, 22861, 236]","[14307, 171731, 28126, 8612, 7653, 0, 97906, 12688, 13579, 3956]" +Hi world! How are you? 😃,"[12194, 2375, 0, 3253, 553, 481, 30, 22861, 225]","[12194, 2375, 0, 3253, 553, 481, 30, 22861, 225]" +"This is a longer text without any special characters or emojis. It includes spaces, punctuation, and multiple sentences. Let's see how the tokenizer handles it!","[2500, 382, 261, 7411, 2201, 2935, 1062, 3582, 9862, 503, 166700, 13, 1225, 6664, 18608, 11, 107300, 11, 326, 7598, 40536, 13, 41021, 1921, 1495, 290, 99665, 25640, 480, 0]","[2500, 382, 261, 7411, 2201, 2935, 1062, 3582, 9862, 503]" +这是一个没有特殊字符或表情符号的较长文本。它包括空格、标点符号和多个句子。让我们看看分词器如何处理它！,"[135398, 22912, 23714, 153508, 67951, 23730, 9314, 7278, 43487, 4785, 1616, 45660, 11329, 145683, 788, 46569, 66050, 16207, 13511, 1395, 15530, 8300, 43487, 4785, 5884, 133048, 48801, 7407, 788, 26850, 24809, 110218, 2957, 31892, 13837, 24608, 42547, 46569, 3393]","[135398, 22912, 23714, 153508, 67951, 23730, 9314, 7278, 43487, 4785]" +"Це довший текст без особливих символів або емодзі. Він містить пробіли, пунктуацію та кілька речень. Подивимось, як розбірник обробляє його!","[15633, 327, 30119, 36404, 60350, 11024, 22816, 25822, 4835, 72542, 14198, 48319, 44937, 1267, 22349, 13, 191318, 161606, 3707, 19443, 732, 1418, 11, 73486, 11595, 97829, 6572, 118706, 1599, 55193, 6593, 13, 36134, 3820, 2271, 15651, 11, 15739, 23063, 89969, 11072, 3077, 19965, 2459, 7499, 73378, 0]","[15633, 327, 30119, 36404, 60350, 11024, 22816, 25822, 4835, 72542]" +這是一段沒有特殊字符或表情符號的較長文字。它包括空格、標點符號和多個句子。讓我們看看斷詞器如何處理它！,"[65212, 122958, 27561, 177582, 153508, 67951, 23730, 9314, 7278, 43487, 51019, 1616, 120804, 35081, 79831, 788, 46569, 66050, 16207, 13511, 1395, 88257, 56729, 43487, 51019, 5884, 6183, 32508, 48801, 7407, 788, 146508, 162942, 110218, 1615, 115, 141855, 13837, 24608, 129805, 5584, 46569, 3393]","[65212, 122958, 27561, 177582, 153508, 67951, 23730, 9314, 7278, 43487]" +هذا نص طويل بدون أي رموز خاصة أو إيموجيات. يتضمن النص فراغات وترقيم وعدة جمل. دعونا نرى كيف يتعامل المحلل النحوي معه!,"[78002, 48322, 80281, 49259, 14575, 53697, 9379, 54170, 9980, 3256, 7223, 9328, 14507, 13, 19470, 71354, 95549, 14696, 22560, 1538, 124487, 154275, 67670, 713, 2045, 5291, 13, 54484, 33526, 1791, 21869, 37940, 19470, 110264, 19658, 115684, 7565, 949, 9004, 104184, 0]","[78002, 48322, 80281, 49259, 14575, 53697, 9379, 54170, 9980, 3256]" +Three swans in purple tutus pirouetting on a tightrope,"[25843, 2766, 616, 306, 37896, 7095, 385, 26706, 283, 88458, 402, 261, 17246, 75678]","[25843, 2766, 616, 306, 37896, 7095, 385, 26706, 283, 88458]" +The moon is made of cheese and the stars are made of jelly beans,"[976, 28479, 382, 2452, 328, 23510, 326, 290, 13701, 553, 2452, 328, 81288, 36225]","[976, 28479, 382, 2452, 328, 23510, 326, 290, 13701, 553]" +A giant squid playing the saxophone at the bottom of the ocean,"[32, 27675, 182048, 8252, 290, 62382, 79653, 540, 290, 8725, 328, 290, 25472]","[32, 27675, 182048, 8252, 290, 62382, 79653, 540, 290, 8725]" +An army of robot penguins waddling on a glacier in Antarctica,"[2223, 28539, 328, 20808, 16517, 104885, 187951, 3321, 402, 261, 159997, 306, 154109]","[2223, 28539, 328, 20808, 16517, 104885, 187951, 3321, 402, 261]" +A wizard in a top hat riding a unicycle while juggling flaming pineapples,"[32, 67537, 306, 261, 2344, 4545, 29028, 261, 537, 41820, 2049, 189224, 163481, 41057, 403, 4524]","[32, 67537, 306, 261, 2344, 4545, 29028, 261, 537, 41820]" +A group of ninja cats practicing their martial arts skills in a bamboo forest,"[32, 3566, 328, 112647, 28854, 49221, 1043, 67886, 20117, 7870, 306, 261, 80540, 19458]","[32, 3566, 328, 112647, 28854, 49221, 1043, 67886, 20117, 7870]" +A friendly alien offering a cup of tea and some cookies to a curious earthling,"[32, 11888, 38726, 11259, 261, 11531, 328, 17966, 326, 1236, 9850, 316, 261, 33612, 13440, 3321]","[32, 11888, 38726, 11259, 261, 11531, 328, 17966, 326, 1236]" +Two giraffes in bow ties and monocles having a conversation over tea,"[13866, 83737, 186045, 306, 21376, 35664, 326, 109729, 1032, 4566, 261, 15681, 1072, 17966]","[13866, 83737, 186045, 306, 21376, 35664, 326, 109729, 1032, 4566]" +Bu cümlenin anlamı ne? 😄,"[29920, 274, 157781, 112230, 85895, 612, 453, 30, 22861, 226]","[29920, 274, 157781, 112230, 85895, 612, 453, 30, 22861, 226]" +Tu as mangé des croissants ce matin? 🥐,"[32220, 472, 18033, 377, 731, 11270, 133997, 2357, 45978, 30, 9552, 98, 238]","[32220, 472, 18033, 377, 731, 11270, 133997, 2357, 45978, 30]" +Mi padre tiene un gato negro y blanco. 🐱,"[28716, 45398, 10647, 537, 99767, 54013, 342, 61482, 13, 9552, 238, 109]","[28716, 45398, 10647, 537, 99767, 54013, 342, 61482, 13]" +Eu gosto de jogar futebol aos domingos. ⚽️,"[29824, 64701, 334, 72618, 65368, 13924, 194577, 13, 181418, 121, 15148]","[29824, 64701, 334, 72618, 65368, 13924, 194577, 13, 181418, 121]" +Я люблю есть пельмени со сметаной. 🥟,"[13450, 150952, 17199, 648, 3366, 500, 7426, 6401, 10200, 1041, 841, 1742, 13, 9552, 98, 253]","[13450, 150952, 17199, 648, 3366, 500, 7426, 6401, 10200, 1041]" +한국 음식을 먹어 본 적이 있나요? 🍚,"[114854, 64586, 104508, 66127, 5959, 51822, 36675, 2186, 7017, 151413, 30, 197348, 248]","[114854, 64586, 104508, 66127, 5959, 51822, 36675, 2186, 7017, 151413]" +私は毎日、朝ごはんを食べます。 🍳,"[158341, 94536, 2292, 1395, 40790, 16211, 5205, 6676, 7277, 25971, 55078, 14429, 788, 197348, 111]","[158341, 94536, 2292, 1395, 40790, 16211, 5205, 6676, 7277, 25971]" +我喜欢吃烤鸭。 🦆,"[7522, 69681, 39276, 9743, 97, 155472, 788, 9552, 99, 228]","[7522, 69681, 39276, 9743, 97, 155472, 788, 9552, 99, 228]" +"כן, אני מבין את זה. אבל מה הפתרון?","[26111, 11, 33678, 32631, 11268, 7248, 17978, 13, 36529, 15103, 22907, 35447, 4498, 30]","[26111, 11, 33678, 32631, 11268, 7248, 17978, 13, 36529, 15103]" +என்ன பார்க்க வேண்டும் என்று சொல்லுங்கள்,"[55358, 40572, 149352, 82041, 52457, 113586, 106375]","[55358, 40572, 149352, 82041, 52457, 113586, 106375]" +¿Cómo puedo ayudarte hoy?,"[99293, 49863, 170184, 20502, 30]","[99293, 49863, 170184, 20502, 30]" +എന്താണ് നിങ്ങളുടെ പ്രശ്നം?,"[26767, 15360, 11363, 182150, 107698, 3949, 3484, 30]","[26767, 15360, 11363, 182150, 107698, 3949, 3484, 30]" +Ce n'est pas une bonne idée de faire ça.,"[24306, 297, 6616, 2173, 2463, 24450, 64187, 334, 8119, 13590, 13]","[24306, 297, 6616, 2173, 2463, 24450, 64187, 334, 8119, 13590]" +पैसे का कोई महत्व नहीं है।,"[2033, 1690, 8945, 5957, 27696, 63693, 10734, 2487, 1670]","[2033, 1690, 8945, 5957, 27696, 63693, 10734, 2487, 1670]" +Ας μιλήσουμε λίγο για την κατάστασή σου.,"[8427, 1433, 4403, 874, 34430, 99964, 176175, 12618, 10964, 43248, 51639, 133810, 79060, 13]","[8427, 1433, 4403, 874, 34430, 99964, 176175, 12618, 10964, 43248]" +"Я знаю, что вы хотите это сделать.","[13450, 88163, 11, 4863, 3341, 83262, 8577, 34141, 13]","[13450, 88163, 11, 4863, 3341, 83262, 8577, 34141, 13]" +Das macht überhaupt keinen Sinn.,"[16110, 25048, 52208, 42810, 77354, 13]","[16110, 25048, 52208, 42810, 77354, 13]" +¿Podría decirme qué debo hacer?,"[11986, 20094, 51776, 22141, 1047, 18998, 158283, 10932, 30]","[11986, 20094, 51776, 22141, 1047, 18998, 158283, 10932, 30]" +"Mi serve il tuo aiuto, per favore.","[28716, 10505, 1793, 51228, 8440, 3794, 11, 777, 63430, 13]","[28716, 10505, 1793, 51228, 8440, 3794, 11, 777, 63430, 13]" +আমি নিশ্চয়ই এটি করতে পারবো না।,"[154271, 105198, 10538, 7806, 67518, 32742, 25921, 193336, 20151, 1670]","[154271, 105198, 10538, 7806, 67518, 32742, 25921, 193336, 20151, 1670]" +Elle n'a jamais été dans cette ville.,"[68098, 297, 10443, 23077, 9799, 2671, 7696, 20683, 13]","[68098, 297, 10443, 23077, 9799, 2671, 7696, 20683, 13]" +Jeg kan ikke hjælpe dig med det.,"[63353, 3163, 10777, 157915, 3807, 1475, 1476, 13]","[63353, 3163, 10777, 157915, 3807, 1475, 1476, 13]" +나는 그것이 싫어요.,"[102052, 98703, 2186, 7113, 104, 84959, 13]","[102052, 98703, 2186, 7113, 104, 84959, 13]" +Քննարկում ենք հետևյալ նախագծերը:,"[124402, 63632, 22876, 3691, 41661, 87428, 57854, 184829, 11393, 25]","[124402, 63632, 22876, 3691, 41661, 87428, 57854, 184829, 11393, 25]" +आपकी मदद करने के लिए मैं यहाँ हूँ।,"[80966, 13346, 65102, 14054, 2329, 8848, 27672, 85005, 83835, 1670]","[80966, 13346, 65102, 14054, 2329, 8848, 27672, 85005, 83835, 1670]" +Det här kommer inte att fungera.,"[3639, 32654, 22920, 4477, 1927, 32101, 2060, 13]","[3639, 32654, 22920, 4477, 1927, 32101, 2060, 13]" +Πού μπορώ να βρω περισσότερες πληροφορίες;,"[10929, 12003, 37116, 27453, 9049, 15772, 23136, 84584, 48793, 165030, 105990, 26]","[10929, 12003, 37116, 27453, 9049, 15772, 23136, 84584, 48793, 165030]" +"Я уверен, что ты справишься.","[13450, 170981, 11, 4863, 18824, 41370, 76105, 1933, 13]","[13450, 170981, 11, 4863, 18824, 41370, 76105, 1933, 13]" +Ce n'est pas ce que j'ai dit.,"[24306, 297, 6616, 2173, 2357, 661, 441, 12480, 4758, 13]","[24306, 297, 6616, 2173, 2357, 661, 441, 12480, 4758, 13]" +ഞാൻ പറഞ്ഞതു അല്ലാത്തതാണ്.,"[17558, 29906, 38382, 129058, 143376, 68178, 141816, 13]","[17558, 29906, 38382, 129058, 143376, 68178, 141816, 13]" +Kan du hjælpe mig med dette problem?,"[65512, 1462, 157915, 17440, 1475, 27657, 4792, 30]","[65512, 1462, 157915, 17440, 1475, 27657, 4792, 30]" +당신은 어떻게 생각합니까?,"[19388, 11753, 4740, 97906, 45341, 13405, 76017, 30]","[19388, 11753, 4740, 97906, 45341, 13405, 76017, 30]" +Mi piacerebbe fare una passeggiata.,"[28716, 134972, 512, 66087, 25285, 1969, 22210, 71506, 546, 13]","[28716, 134972, 512, 66087, 25285, 1969, 22210, 71506, 546, 13]" +আমি তার সাথে আছি।,"[154271, 20371, 54628, 4000, 103019, 1670]","[154271, 20371, 54628, 4000, 103019, 1670]" +"Tu sais ce que tu fais, n'est-ce pas?","[32220, 30010, 2357, 661, 3334, 24376, 11, 297, 6616, 35404, 2173, 30]","[32220, 30010, 2357, 661, 3334, 24376, 11, 297, 6616, 35404]" +लोग बहुत कुछ बोलते हैं।,"[1455, 9611, 28713, 21558, 61904, 7220, 6374, 1670]","[1455, 9611, 28713, 21558, 61904, 7220, 6374, 1670]" +Πες μου τι σκέφτεσαι.,"[10929, 12128, 50043, 21686, 98671, 2574, 4106, 7628, 196939, 13]","[10929, 12128, 50043, 21686, 98671, 2574, 4106, 7628, 196939, 13]" +Мы сделаем это вместе.,"[65313, 20623, 39949, 8577, 57966, 13]","[65313, 20623, 39949, 8577, 57966, 13]" +J'ai peur de ne pas y arriver.,"[41, 12480, 60145, 334, 453, 2173, 342, 78302, 13]","[41, 12480, 60145, 334, 453, 2173, 342, 78302, 13]" +Quelle est votre couleur préférée?,"[93255, 893, 6279, 48005, 48289, 2894, 30]","[93255, 893, 6279, 48005, 48289, 2894, 30]" +Jaka jest Twoja ulubiona potrawa?,"[41, 3578, 12637, 13311, 2067, 7754, 431, 28094, 3208, 1618, 64, 30]","[41, 3578, 12637, 13311, 2067, 7754, 431, 28094, 3208, 1618]" +Qual é a sua música favorita?,"[16752, 1212, 261, 6677, 26533, 162634, 30]","[16752, 1212, 261, 6677, 26533, 162634, 30]" +Hvad er din yndlingssang?,"[39, 36939, 1111, 4440, 170935, 45539, 82, 516, 30]","[39, 36939, 1111, 4440, 170935, 45539, 82, 516, 30]" +Koji je tvoj omiljeni film?,"[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 5586, 30]","[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 5586, 30]" +Melyik a kedvenc sportod?,"[44, 1151, 507, 261, 34738, 85, 1038, 9373, 368, 30]","[44, 1151, 507, 261, 34738, 85, 1038, 9373, 368, 30]" +Qual è il tuo film preferito?,"[16752, 6272, 1793, 51228, 5586, 7363, 2955, 30]","[16752, 6272, 1793, 51228, 5586, 7363, 2955, 30]" +Koja je tvoja omiljena knjiga?,"[33185, 2067, 1264, 260, 112352, 2030, 311, 70508, 94771, 4796, 30]","[33185, 2067, 1264, 260, 112352, 2030, 311, 70508, 94771, 4796]" +Cuál es tu película favorita?,"[185902, 878, 3334, 50035, 162634, 30]","[185902, 878, 3334, 50035, 162634, 30]" +Kas on sinu lemmikmuusikastiil?,"[86431, 402, 103994, 505, 4538, 507, 12173, 385, 507, 20027, 311, 30]","[86431, 402, 103994, 505, 4538, 507, 12173, 385, 507, 20027]" +Quina és la teva sèrie preferida?,"[2231, 1522, 9483, 557, 729, 2873, 45866, 22604, 7363, 2261, 30]","[2231, 1522, 9483, 557, 729, 2873, 45866, 22604, 7363, 2261]" +Quale è il tuo libro preferito?,"[16752, 68, 6272, 1793, 51228, 29336, 7363, 2955, 30]","[16752, 68, 6272, 1793, 51228, 29336, 7363, 2955, 30]" +Kurš ir tavs mīļākais dzīvnieks?,"[114458, 812, 3288, 34340, 82, 284, 5834, 25496, 2485, 118614, 17303, 101247, 7640, 2484, 30]","[114458, 812, 3288, 34340, 82, 284, 5834, 25496, 2485, 118614]" +Qual é o teu desporto favorito?,"[16752, 1212, 293, 38878, 731, 60901, 115525, 30]","[16752, 1212, 293, 38878, 731, 60901, 115525, 30]" +Cuál es tu color favorito?,"[185902, 878, 3334, 3089, 115525, 30]","[185902, 878, 3334, 3089, 115525, 30]" +Koji je tvoj omiljeni žanr filma?,"[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 6872, 270, 81, 1620, 809, 30]","[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 6872, 270]" +Kateri je tvoj najljubši okus sladoleda?,"[42, 139348, 1264, 260, 32516, 12023, 12296, 431, 23060, 116349, 1925, 1064, 73935, 30]","[42, 139348, 1264, 260, 32516, 12023, 12296, 431, 23060, 116349]" +Quel est ton livre préféré?,"[77754, 893, 8349, 26668, 136224, 30]","[77754, 893, 8349, 26668, 136224, 30]" +Qual é a tua cor favorita?,"[16752, 1212, 261, 38973, 1907, 162634, 30]","[16752, 1212, 261, 38973, 1907, 162634, 30]" +Koja ti je omiljena boja?,"[33185, 2067, 2919, 1264, 2030, 311, 70508, 1581, 2067, 30]","[33185, 2067, 2919, 1264, 2030, 311, 70508, 1581, 2067, 30]" +Melyik a kedvenc étel?,"[44, 1151, 507, 261, 34738, 85, 1038, 4976, 296, 30]","[44, 1151, 507, 261, 34738, 85, 1038, 4976, 296, 30]" +Koji je tvoj omiljeni grad?,"[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 12369, 30]","[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 12369, 30]" +Quale è il tuo piatto preferito?,"[16752, 68, 6272, 1793, 51228, 6404, 41003, 7363, 2955, 30]","[16752, 68, 6272, 1793, 51228, 6404, 41003, 7363, 2955, 30]" +Kurš ir tavs mīļākais TV šovs?,"[114458, 812, 3288, 34340, 82, 284, 5834, 25496, 2485, 118614, 6186, 6735, 186282, 30]","[114458, 812, 3288, 34340, 82, 284, 5834, 25496, 2485, 118614]" +Qual é a tua série de TV favorita?,"[16752, 1212, 261, 38973, 22079, 334, 6186, 162634, 30]","[16752, 1212, 261, 38973, 22079, 334, 6186, 162634, 30]" +Katera je tvoja najljubša barva?,"[42, 120003, 1264, 260, 112352, 12023, 12296, 431, 24961, 3608, 2873, 30]","[42, 120003, 1264, 260, 112352, 12023, 12296, 431, 24961, 3608]" +Koji je tvoj omiljeni restoran?,"[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 162521, 30]","[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 162521, 30]" +Qual é o teu hobby favorito?,"[16752, 1212, 293, 38878, 41649, 115525, 30]","[16752, 1212, 293, 38878, 41649, 115525, 30]" +Koji je tvoj omiljeni bend?,"[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 40158, 30]","[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 40158, 30]" +Kurš ir tavs mīļākais mākslinieks?,"[114458, 812, 3288, 34340, 82, 284, 5834, 25496, 2485, 118614, 55181, 2484, 106106, 2484, 30]","[114458, 812, 3288, 34340, 82, 284, 5834, 25496, 2485, 118614]" +Quina és la teva pel·lícula preferida?,"[2231, 1522, 9483, 557, 729, 2873, 7402, 70794, 82729, 7363, 2261, 30]","[2231, 1522, 9483, 557, 729, 2873, 7402, 70794, 82729, 7363]" +Qual é a tua música favorita?,"[16752, 1212, 261, 38973, 26533, 162634, 30]","[16752, 1212, 261, 38973, 26533, 162634, 30]" +Koji ti je omiljeni grad?,"[33185, 4133, 2919, 1264, 2030, 311, 97499, 12369, 30]","[33185, 4133, 2919, 1264, 2030, 311, 97499, 12369, 30]" +Katera je tvoja najljubša jed?,"[42, 120003, 1264, 260, 112352, 12023, 12296, 431, 24961, 6877, 30]","[42, 120003, 1264, 260, 112352, 12023, 12296, 431, 24961, 6877]" +Quel est ton plat préféré?,"[77754, 893, 8349, 26916, 136224, 30]","[77754, 893, 8349, 26916, 136224, 30]" +Kurš ir tavs mīļākais sporta veids?,"[114458, 812, 3288, 34340, 82, 284, 5834, 25496, 2485, 118614, 9373, 64, 1743, 3375, 30]","[114458, 812, 3288, 34340, 82, 284, 5834, 25496, 2485, 118614]" +Qual é o teu livro preferido?,"[16752, 1212, 293, 38878, 34465, 7363, 2295, 30]","[16752, 1212, 293, 38878, 34465, 7363, 2295, 30]" +Koji ti je omiljeni hobi?,"[33185, 4133, 2919, 1264, 2030, 311, 97499, 312, 25245, 30]","[33185, 4133, 2919, 1264, 2030, 311, 97499, 312, 25245, 30]" +Quale è il tuo colore preferito?,"[16752, 68, 6272, 1793, 51228, 79779, 7363, 2955, 30]","[16752, 68, 6272, 1793, 51228, 79779, 7363, 2955, 30]" +Katera je tvoja najljubša TV serija?,"[42, 120003, 1264, 260, 112352, 12023, 12296, 431, 24961, 6186, 1334, 8652, 30]","[42, 120003, 1264, 260, 112352, 12023, 12296, 431, 24961, 6186]" +Quina és la teva pel·lícula preferida?,"[2231, 1522, 9483, 557, 729, 2873, 7402, 70794, 82729, 7363, 2261, 30]","[2231, 1522, 9483, 557, 729, 2873, 7402, 70794, 82729, 7363]" +Koji je tvoj omiljeni glumac/glumica?,"[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 2000, 394, 359, 74704, 394, 1578, 30]","[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 2000, 394]" +Qual é o teu restaurante favorito?,"[16752, 1212, 293, 38878, 61521, 115525, 30]","[16752, 1212, 293, 38878, 61521, 115525, 30]" +"Kurš ir tavs mīļākais veids, kā pavadīt laiku?","[114458, 812, 3288, 34340, 82, 284, 5834, 25496, 2485, 118614, 1743, 3375, 11, 24148, 275, 21551, 48406, 557, 11169, 30]","[114458, 812, 3288, 34340, 82, 284, 5834, 25496, 2485, 118614]" +Qual é a tua série favorita?,"[16752, 1212, 261, 38973, 22079, 162634, 30]","[16752, 1212, 261, 38973, 22079, 162634, 30]" +Koja ti je omiljena hrana?,"[33185, 2067, 2919, 1264, 2030, 311, 70508, 19636, 1480, 30]","[33185, 2067, 2919, 1264, 2030, 311, 70508, 19636, 1480, 30]" +Koji je tvoj omiljeni pisac/pisacica?,"[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 19525, 359, 8138, 276, 359, 1578, 30]","[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 19525, 359]" +Quel est ton sport préféré?,"[77754, 893, 8349, 9373, 136224, 30]","[77754, 893, 8349, 9373, 136224, 30]" +Katera je tvoja najljubša pesem?,"[42, 120003, 1264, 260, 112352, 12023, 12296, 431, 24961, 8907, 347, 30]","[42, 120003, 1264, 260, 112352, 12023, 12296, 431, 24961, 8907]" +Qual é o teu escritor favorito?,"[16752, 1212, 293, 38878, 84541, 115525, 30]","[16752, 1212, 293, 38878, 84541, 115525, 30]" +Kurš ir tavs mīļākais žanrs?,"[114458, 812, 3288, 34340, 82, 284, 5834, 25496, 2485, 118614, 6872, 270, 6435, 30]","[114458, 812, 3288, 34340, 82, 284, 5834, 25496, 2485, 118614]" +Quale è il tuo passatempo preferito?,"[16752, 68, 6272, 1793, 51228, 89349, 11569, 7363, 2955, 30]","[16752, 68, 6272, 1793, 51228, 89349, 11569, 7363, 2955, 30]" +Koji ti je omiljeni film,"[33185, 4133, 2919, 1264, 2030, 311, 97499, 5586]","[33185, 4133, 2919, 1264, 2030, 311, 97499, 5586]" +👉🏼🌍 Bienvenidos a la tierra! ¿Cómo te encuentras hoy? 😎🌺,"[106128, 183024, 64364, 235, 39734, 1066, 5965, 261, 557, 53590, 0, 12873, 46515, 729, 17801, 6285, 20502, 30, 22861, 236, 64364, 118]","[106128, 183024, 64364, 235, 39734, 1066, 5965, 261, 557, 53590]" +🎉🎊 Tutti pronti per la festa? Io si! 🎂🥳🎈,"[71344, 231, 71344, 232, 28769, 2832, 132860, 72, 777, 557, 52308, 30, 38015, 1784, 0, 139786, 224, 112808, 111, 71344, 230]","[71344, 231, 71344, 232, 28769, 2832, 132860, 72, 777, 557]" +"👋🏻 Hallo daar, hoe gaat het vandaag met je? 🌞🌷","[28823, 233, 100798, 97413, 9150, 11, 12461, 13896, 1448, 47268, 1421, 1264, 30, 130321, 252, 64364, 115]","[28823, 233, 100798, 97413, 9150, 11, 12461, 13896, 1448, 47268]" +🍕🍟 Salut! Vous préférez la pizza ou les frites? 🍔🍟,"[102415, 243, 102415, 253, 188716, 0, 19214, 73939, 153437, 557, 27941, 2031, 1341, 285, 41991, 30, 197348, 242, 102415, 253]","[102415, 243, 102415, 253, 188716, 0, 19214, 73939, 153437, 557]" +👩🏽‍🦱 Ciao mondo! Come stai? Spero che tu abbia una bellissima giornata! 😊🌸,"[28823, 102, 52622, 121, 2524, 4103, 99, 109, 363, 22880, 57990, 0, 23538, 420, 1361, 30, 336, 40858, 1378, 3334, 182044, 1969, 32256, 102725, 146739, 0, 156273, 64364, 116]","[28823, 102, 52622, 121, 2524, 4103, 99, 109, 363, 22880]" +👨🏼‍🦳¡Hola mundo! ¿Cómo estás? Espero que tengas un día maravilloso! 😎🌺,"[28823, 101, 183024, 2524, 4103, 99, 111, 20407, 49864, 10225, 0, 12873, 46515, 58166, 30, 117376, 661, 116565, 537, 13919, 178679, 0, 22861, 236, 64364, 118]","[28823, 101, 183024, 2524, 4103, 99, 111, 20407, 49864, 10225]" +👩🏻‍🦰 Salut les gars! Comment ça va aujourd'hui? J'espère que tout va bien! 🌞🌷,"[28823, 102, 100798, 2524, 4103, 99, 108, 188716, 1341, 117132, 0, 15406, 13590, 3423, 32226, 43820, 30, 643, 116557, 661, 5501, 3423, 5340, 0, 130321, 252, 64364, 115]","[28823, 102, 100798, 2524, 4103, 99, 108, 188716, 1341, 117132]" +🍺🍷 Dobry wieczór! Jak się dziś czujesz? 🎉🎂,"[102415, 118, 102415, 115, 74130, 1102, 5700, 8324, 5810, 0, 31008, 9721, 184825, 17136, 192710, 30, 139786, 231, 71344, 224]","[102415, 118, 102415, 115, 74130, 1102, 5700, 8324, 5810, 0]" +👩🏾‍🦱 Olá mundo! Como você está? Espero que tenha um ótimo dia! 😊🌸,"[28823, 102, 52622, 122, 2524, 4103, 99, 109, 12431, 449, 10225, 0, 20972, 7888, 5541, 30, 117376, 661, 42143, 1713, 103586, 7701, 0, 156273, 64364, 116]","[28823, 102, 52622, 122, 2524, 4103, 99, 109, 12431, 449]" +"👩🏻‍🦱 Hallo Welt! Wie geht es dir? Ich hoffe, du hast einen wunderschönen Tag! 😊🌸","[28823, 102, 100798, 2524, 4103, 99, 109, 97413, 23079, 0, 24124, 18629, 878, 5609, 30, 14337, 110104, 11, 1462, 26219, 6775, 195673, 13265, 0, 156273, 64364, 116]","[28823, 102, 100798, 2524, 4103, 99, 109, 97413, 23079, 0]" +🐶🐱 Bonjour le monde! Aimez-vous les chiens ou les chats? 🐶🐱,"[139749, 114, 139749, 109, 141691, 505, 15807, 0, 355, 642, 89, 22585, 1341, 124477, 2031, 1341, 60114, 30, 9552, 238, 114, 139749, 109]","[139749, 114, 139749, 109, 141691, 505, 15807, 0, 355, 642]" +👋🏼 Hallo verden! Hvordan går det i dag? 🌞🌷,"[28823, 233, 183024, 97413, 86264, 0, 141849, 32207, 1476, 575, 8724, 30, 130321, 252, 64364, 115]","[28823, 233, 183024, 97413, 86264, 0, 141849, 32207, 1476, 575]" +🎶🎵 Hej världen! Vilken musik gillar du att lyssna på? 🎧🎤,"[71344, 114, 71344, 113, 1679, 73, 164468, 0, 46090, 2144, 81450, 186719, 1462, 1927, 15280, 1087, 1503, 3663, 30, 139786, 100, 71344, 97]","[71344, 114, 71344, 113, 1679, 73, 164468, 0, 46090, 2144]" +👽🛸 Merhaba dünya! Bugün nasılsın? Umarım harika bir gün geçiriyorsun! 😊🌸,"[28823, 121, 4103, 249, 116, 9708, 129766, 125849, 0, 41830, 4515, 6575, 612, 3973, 3681, 30, 184394, 10709, 3664, 3113, 3742, 18905, 76215, 148357, 373, 0, 156273, 64364, 116]","[28823, 121, 4103, 249, 116, 9708, 129766, 125849, 0, 41830]" +👨🏽‍🦳 Hallo wereld! Hoe gaat het vandaag met je? 🌞🌷,"[28823, 101, 52622, 121, 2524, 4103, 99, 111, 97413, 25045, 0, 37878, 13896, 1448, 47268, 1421, 1264, 30, 130321, 252, 64364, 115]","[28823, 101, 52622, 121, 2524, 4103, 99, 111, 97413, 25045]" +👩🏼‍🦳 Ciao mondo! Come stai? Spero che tu abbia una bellissima giornata! 😊🌸,"[28823, 102, 183024, 2524, 4103, 99, 111, 363, 22880, 57990, 0, 23538, 420, 1361, 30, 336, 40858, 1378, 3334, 182044, 1969, 32256, 102725, 146739, 0, 156273, 64364, 116]","[28823, 102, 183024, 2524, 4103, 99, 111, 363, 22880, 57990]" +🌈🦄 Hello world! Do you believe in magic? ✨🎩,"[64364, 230, 4103, 99, 226, 32949, 2375, 0, 3756, 481, 6423, 306, 19745, 30, 32367, 101, 71344, 102]","[64364, 230, 4103, 99, 226, 32949, 2375, 0, 3756, 481]" +🐦🐤 Tere maailm! Kas sa armastad linde? 🐦🐤,"[139749, 99, 139749, 97, 353, 512, 65101, 76, 0, 31358, 880, 10454, 629, 324, 305, 8561, 30, 9552, 238, 99, 139749, 97]","[139749, 99, 139749, 97, 353, 512, 65101, 76, 0, 31358]" +🌌🚀 Hallo Welt! Was ist dein Lieblingsfilm über Weltraumabenteuer? 🌠🪐,"[64364, 234, 112927, 222, 97413, 23079, 0, 14512, 2496, 58683, 105589, 40489, 5469, 23161, 1787, 164521, 109917, 30, 130321, 254, 4103, 103, 238]","[64364, 234, 112927, 222, 97413, 23079, 0, 14512, 2496, 58683]" +👨🏻‍🦱 Olá mundo! Como você está? Espero que tenha um ótimo dia! 😊🌸,"[28823, 101, 100798, 2524, 4103, 99, 109, 12431, 449, 10225, 0, 20972, 7888, 5541, 30, 117376, 661, 42143, 1713, 103586, 7701, 0, 156273, 64364, 116]","[28823, 101, 100798, 2524, 4103, 99, 109, 12431, 449, 10225]" +🌍🌊 Bonjour le monde! Aimez-vous la plage ou les montagnes? 🏖️⛰️,"[64364, 235, 64364, 232, 141691, 505, 15807, 0, 355, 642, 89, 22585, 557, 78241, 2031, 1341, 170573, 30, 9552, 237, 244, 15148, 158, 120623, 15148]","[64364, 235, 64364, 232, 141691, 505, 15807, 0, 355, 642]" +👩🏼‍🦰 Hallo Welt! Was ist dein Lieblingslied im Moment?,"[28823, 102, 183024, 2524, 4103, 99, 108, 97413, 23079, 0, 14512, 2496, 58683, 105589, 178098, 770, 43224, 30]","[28823, 102, 183024, 2524, 4103, 99, 108, 97413, 23079, 0]" +I'm feeling 😊 very happy today 😍,"[15390, 10656, 156273, 1869, 7150, 4044, 22861, 235]","[15390, 10656, 156273, 1869, 7150, 4044, 22861, 235]" +🍔 Let's grab some food 🍟 and hang out 🎉,"[102415, 242, 41021, 18013, 1236, 4232, 197348, 253, 326, 13875, 842, 139786, 231]","[102415, 242, 41021, 18013, 1236, 4232, 197348, 253, 326, 13875]" +🌸 Spring is my favorite season 🌺 what's yours?,"[64364, 116, 15754, 382, 922, 8340, 5217, 130321, 118, 29400, 24648, 30]","[64364, 116, 15754, 382, 922, 8340, 5217, 130321, 118, 29400]" +⚽ I love playing sports 🎾 especially tennis 🏸,"[84396, 121, 357, 3047, 8252, 10325, 139786, 122, 6980, 33595, 9552, 237, 116]","[84396, 121, 357, 3047, 8252, 10325, 139786, 122, 6980, 33595]" +🎥 I just watched the latest movie 🎞️ and it was amazing 🤩,"[71344, 98, 357, 1327, 25301, 290, 6898, 8249, 139786, 252, 15148, 326, 480, 673, 8467, 93643, 102]","[71344, 98, 357, 1327, 25301, 290, 6898, 8249, 139786, 252]" +I can't wait for 🎄 Christmas 🎁 to arrive 🎅,"[40, 8535, 5238, 395, 139786, 226, 10431, 139786, 223, 316, 18338, 139786, 227]","[40, 8535, 5238, 395, 139786, 226, 10431, 139786, 223, 316]" +📚 I'm currently reading a new book 📖 and it's so interesting 🤓,"[63309, 248, 5477, 6821, 6085, 261, 620, 2392, 130530, 244, 326, 4275, 813, 9559, 93643, 241]","[63309, 248, 5477, 6821, 6085, 261, 620, 2392, 130530, 244]" +🌊 The beach 🏖️ is my favorite place to relax and unwind 🧘‍♂️,"[64364, 232, 623, 11334, 9552, 237, 244, 15148, 382, 922, 8340, 2475, 316, 11424, 326, 95755, 9552, 100, 246, 2524, 178729, 15148]","[64364, 232, 623, 11334, 9552, 237, 244, 15148, 382, 922]" +🚗 Road trips 🛣️ are so much fun 🎉 I love traveling 🌍,"[112927, 245, 12497, 27647, 9552, 249, 96, 15148, 553, 813, 2009, 2827, 139786, 231, 357, 3047, 26023, 130321, 235]","[112927, 245, 12497, 27647, 9552, 249, 96, 15148, 553, 813]" +🍿 I'm going to watch a movie 🎬 tonight with some popcorn 🍫,"[102415, 123, 5477, 2966, 316, 5621, 261, 8249, 139786, 105, 26098, 483, 1236, 95791, 197348, 104]","[102415, 123, 5477, 2966, 316, 5621, 261, 8249, 139786, 105]" +🍕 Pizza 🍟 is my all-time favorite food 🍔 what's yours?,"[102415, 243, 48892, 197348, 253, 382, 922, 722, 10158, 8340, 4232, 197348, 242, 29400, 24648, 30]","[102415, 243, 48892, 197348, 253, 382, 922, 722, 10158, 8340]" +🌅 The sunrise 🌄 is one of the most beautiful things I've ever seen 🌞,"[64364, 227, 623, 94579, 130321, 226, 382, 1001, 328, 290, 1645, 6107, 3283, 9790, 4862, 6177, 130321, 252]","[64364, 227, 623, 94579, 130321, 226, 382, 1001, 328, 290]" +🏰 I love visiting castles 🏯 and learning about their history 📜,"[52622, 108, 357, 3047, 18798, 160104, 9552, 237, 107, 326, 7524, 1078, 1043, 5678, 130530, 250]","[52622, 108, 357, 3047, 18798, 160104, 9552, 237, 107, 326]" +💻 I spend most of my time on the computer ⌨️ working on projects 💼,"[31446, 119, 357, 10075, 1645, 328, 922, 1058, 402, 290, 7595, 2969, 234, 101, 15148, 4113, 402, 8554, 74580, 120]","[31446, 119, 357, 10075, 1645, 328, 922, 1058, 402, 290]" +📺 I'm currently binge-watching a new series 🍿 and it's so good 🤩,"[63309, 118, 5477, 6821, 122587, 4450, 42443, 261, 620, 5594, 197348, 123, 326, 4275, 813, 1899, 93643, 102]","[63309, 118, 5477, 6821, 122587, 4450, 42443, 261, 620, 5594]" +🎨 Art 🖌️ is one of my favorite hobbies 🎭 what do you like to do?,"[71344, 101, 5431, 9552, 244, 234, 15148, 382, 1001, 328, 922, 8340, 80355, 139786, 255, 1412, 621, 481, 1299, 316, 621, 30]","[71344, 101, 5431, 9552, 244, 234, 15148, 382, 1001, 328]" +🎶 I love listening to music 🎧 especially while working 🎹,"[71344, 114, 357, 3047, 20192, 316, 5383, 139786, 100, 6980, 2049, 4113, 139786, 117]","[71344, 114, 357, 3047, 20192, 316, 5383, 139786, 100, 6980]" +🏞️ Nature 🌲 is so beautiful 🌳 I love going on hikes 🚶‍♂️,"[52622, 252, 15148, 29975, 130321, 110, 382, 813, 6107, 130321, 111, 357, 3047, 2966, 402, 111299, 169883, 114, 2524, 178729, 15148]","[52622, 252, 15148, 29975, 130321, 110, 382, 813, 6107]" +🌌 The stars ✨ are so mesmerizing 🌟 I love stargazing 🌠,"[64364, 234, 623, 13701, 32367, 101, 553, 813, 198258, 130321, 253, 357, 3047, 420, 1170, 52371, 130321, 254]","[64364, 234, 623, 13701, 32367, 101, 553, 813, 198258]" +📷 Photography 📸 is one of my favorite hobbies 🌉 what's yours?,"[63309, 115, 53476, 130530, 116, 382, 1001, 328, 922, 8340, 80355, 130321, 231, 29400, 24648, 30]","[63309, 115, 53476, 130530, 116, 382, 1001, 328, 922, 8340]" +🍦 Ice cream 🍨 is my go-to dessert 🎂 what's yours?,"[102415, 99, 33647, 15877, 197348, 101, 382, 922, 810, 6487, 47296, 139786, 224, 29400, 24648, 30]","[102415, 99, 33647, 15877, 197348, 101, 382, 922, 810, 6487]" +🎡 I love going to amusement parks 🎢 and riding roller coasters 🎠,"[71344, 94, 357, 3047, 2966, 316, 92672, 35981, 139786, 95, 326, 29028, 36182, 1407, 47272, 139786, 254]","[71344, 94, 357, 3047, 2966, 316, 92672, 35981, 139786, 95]" +🐶 Dogs 🐕 are the best 🐾 what's your favorite animal?,"[139749, 114, 57666, 9552, 238, 243, 553, 290, 1636, 9552, 238, 122, 29400, 634, 8340, 13983, 30]","[139749, 114, 57666, 9552, 238, 243, 553, 290, 1636]" +🌈 Rainbows 🌈 are so beautiful 🌞 they make me so happy 🌸,"[64364, 230, 33159, 100533, 130321, 230, 553, 813, 6107, 130321, 252, 1023, 1520, 668, 813, 7150, 130321, 116]","[64364, 230, 33159, 100533, 130321, 230, 553, 813, 6107]" +🚣‍♀️ I love kayaking 🛶 it's so peaceful on the water 🌊,"[112927, 96, 2524, 15794, 15148, 357, 3047, 152941, 9552, 249, 114, 4275, 813, 37838, 402, 290, 3411, 130321, 232]","[112927, 96, 2524, 15794, 15148, 357, 3047, 152941]" +🎮 Video games 🎲 are so much fun 🕹️ what's your favorite game?,"[71344, 106, 11080, 5048, 139786, 110, 553, 813, 2009, 2827, 9552, 243, 117, 15148, 29400, 634, 8340, 2813, 30]","[71344, 106, 11080, 5048, 139786, 110, 553, 813, 2009, 2827]" +🏠 Home 🏡 is my favorite place to be 🌅 where's yours?,"[52622, 254, 6136, 9552, 237, 94, 382, 922, 8340, 2475, 316, 413, 130321, 227, 1919, 885, 24648, 30]","[52622, 254, 6136, 9552, 237, 94, 382, 922, 8340, 2475]" +🍩 Donuts 🍩 are my favorite snack 🍫 what's yours?,"[102415, 102, 6070, 4639, 197348, 102, 553, 922, 8340, 39337, 197348, 104, 29400, 24648, 30]","[102415, 102, 6070, 4639, 197348, 102, 553, 922, 8340, 39337]" +🚴‍♀️ I love going for bike rides 🚴‍♂️ it's a great way to stay active 🏃‍♀️,"[112927, 112, 2524, 15794, 15148, 357, 3047, 2966, 395, 17431, 46009, 169883, 112, 2524, 178729, 15148, 4275, 261, 2212, 2006, 316, 5092, 6725, 9552, 237, 225, 2524, 15794, 15148]","[112927, 112, 2524, 15794, 15148, 357, 3047, 2966, 395, 17431]" +👩‍🍳 Cooking 👨‍🍳 is one of my favorite hobbies 🍲 what do you like to cook?,"[28823, 102, 2524, 102415, 111, 80457, 61138, 101, 2524, 102415, 111, 382, 1001, 328, 922, 8340, 80355, 197348, 110, 1412, 621, 481, 1299, 316, 4947, 30]","[28823, 102, 2524, 102415, 111, 80457, 61138, 101, 2524]" +🍁 Fall 🍂 is my favorite season 🍃 what's yours?,"[102415, 223, 16653, 197348, 224, 382, 922, 8340, 5217, 197348, 225, 29400, 24648, 30]","[102415, 223, 16653, 197348, 224, 382, 922, 8340, 5217]" +🎄 Christmas 🎅 is my favorite holiday 🎁 what's yours?,"[71344, 226, 10431, 139786, 227, 382, 922, 8340, 12945, 139786, 223, 29400, 24648, 30]","[71344, 226, 10431, 139786, 227, 382, 922, 8340, 12945]" +"🌞 Let's enjoy the beautiful day at the beach, swimming in the 🌊 and soaking up the ☀️!","[64364, 252, 41021, 4271, 290, 6107, 2163, 540, 290, 11334, 11, 26160, 306, 290, 130321, 232, 326, 110982, 869, 290, 25701, 222, 15148, 0]","[64364, 252, 41021, 4271, 290, 6107, 2163, 540, 290, 11334]" +👨‍👩‍👧‍👦 Family is the most important thing in life. Spending time with your loved ones is priceless! ❤️,"[28823, 101, 2524, 28823, 102, 2524, 28823, 100, 2524, 28823, 99, 14098, 382, 290, 1645, 3378, 4435, 306, 2615, 13, 145405, 1058, 483, 634, 10869, 8104, 382, 126704, 0, 122205]","[28823, 101, 2524, 28823, 102, 2524, 28823, 100, 2524]" +"🎉 Let's celebrate the special occasion with a huge party, with lots of 🎁 and 🎂 for everyone to enjoy!","[71344, 231, 41021, 22409, 290, 3582, 16141, 483, 261, 9560, 7362, 11, 483, 10836, 328, 139786, 223, 326, 139786, 224, 395, 6524, 316, 4271, 0]","[71344, 231, 41021, 22409, 290, 3582, 16141, 483, 261, 9560]" +📖 Reading is one of the best ways to expand your knowledge and imagination. There's a book out there for everyone! 📚,"[63309, 244, 23353, 382, 1001, 328, 290, 1636, 6984, 316, 10791, 634, 7124, 326, 38528, 13, 32711, 261, 2392, 842, 1354, 395, 6524, 0, 130530, 248]","[63309, 244, 23353, 382, 1001, 328, 290, 1636, 6984, 316]" +👍 Positive thinking can change your life. Believe in yourself and the possibilities that the future holds! 😃,"[82514, 69952, 9791, 665, 3343, 634, 2615, 13, 86550, 306, 6675, 326, 290, 31061, 484, 290, 5277, 18305, 0, 22861, 225]","[82514, 69952, 9791, 665, 3343, 634, 2615, 13, 86550, 306]" +"🌲 Nature is full of wonders, from the 🌺 and 🌸 in the spring to the 🍁 and 🍂 in the fall. Take a walk and enjoy the beauty around you!","[64364, 110, 29975, 382, 3149, 328, 58638, 11, 591, 290, 130321, 118, 326, 130321, 116, 306, 290, 12860, 316, 290, 197348, 223, 326, 197348, 224, 306, 290, 5617, 13, 14166, 261, 5229, 326, 4271, 290, 14505, 2846, 481, 0]","[64364, 110, 29975, 382, 3149, 328, 58638, 11, 591, 290]" +💻 Technology is constantly changing and improving our lives. We can connect with people all over the world and access information at our fingertips!,"[31446, 119, 15101, 382, 19223, 13784, 326, 23053, 1039, 8354, 13, 1416, 665, 4837, 483, 1665, 722, 1072, 290, 2375, 326, 3158, 2164, 540, 1039, 90844, 0]","[31446, 119, 15101, 382, 19223, 13784, 326, 23053, 1039, 8354]" +"🎵 Music has the power to inspire and uplift us. Whether it's 🎧 on your headphones or a live concert, let the rhythm move you!","[71344, 113, 12878, 853, 290, 3470, 316, 34326, 326, 146593, 765, 13, 14959, 4275, 139786, 100, 402, 634, 66195, 503, 261, 4561, 18510, 11, 1632, 290, 55476, 5275, 481, 0]","[71344, 113, 12878, 853, 290, 3470, 316, 34326, 326, 146593]" +🌎 We all share this planet and have a responsibility to take care of it. Let's work together to create a sustainable future for generations to come!,"[64364, 236, 1416, 722, 5143, 495, 17921, 326, 679, 261, 16143, 316, 2304, 2631, 328, 480, 13, 41021, 1101, 4717, 316, 2501, 261, 24411, 5277, 395, 34368, 316, 3063, 0]","[64364, 236, 1416, 722, 5143, 495, 17921, 326, 679, 261]" +👀 Seeing the world through someone else's eyes can broaden your perspective and help you grow as a person. Be open-minded and empathetic!,"[28823, 222, 85958, 290, 2375, 1819, 5693, 145215, 9623, 665, 83776, 634, 18418, 326, 1652, 481, 3839, 472, 261, 1647, 13, 2439, 2494, 54608, 326, 80262, 15068, 0]","[28823, 222, 85958, 290, 2375, 1819, 5693, 145215, 9623, 665]" +"🍔 Food is a universal language that brings people together. From 🍕 to 🍣, there's something for everyone to enjoy!","[102415, 242, 15031, 382, 261, 29983, 6439, 484, 15476, 1665, 4717, 13, 7217, 197348, 243, 316, 197348, 96, 11, 15333, 3543, 395, 6524, 316, 4271, 0]","[102415, 242, 15031, 382, 261, 29983, 6439, 484, 15476, 1665]" +"💪 Challenges are a part of life, but they also make us stronger and more resilient. Don't give up, keep pushing forward!","[31446, 103, 104749, 553, 261, 997, 328, 2615, 11, 889, 1023, 1217, 1520, 765, 26929, 326, 945, 84089, 13, 19666, 3644, 869, 11, 3357, 34364, 6687, 0]","[31446, 103, 104749, 553, 261, 997, 328, 2615, 11, 889]" +😴 Getting enough sleep is crucial for our health and wellbeing. Make sure you prioritize rest and relaxation in your daily routine!,"[13865, 112, 37224, 4951, 8746, 382, 19008, 395, 1039, 3230, 326, 63923, 13, 9393, 3239, 481, 90916, 2867, 326, 45831, 306, 634, 8424, 19995, 0]","[13865, 112, 37224, 4951, 8746, 382, 19008, 395, 1039, 3230]" +🤝 Building strong relationships with others can enrich your life and bring joy and fulfillment. Take the time to connect and nurture your friendships!,"[50378, 251, 22478, 5532, 14321, 483, 5036, 665, 46881, 634, 2615, 326, 5624, 15917, 326, 74442, 13, 14166, 290, 1058, 316, 4837, 326, 105232, 634, 83621, 0]","[50378, 251, 22478, 5532, 14321, 483, 5036, 665, 46881, 634]" +"🚀 We have the potential to achieve great things, but it takes hard work and determination. Dream big and chase your goals!","[112927, 222, 1416, 679, 290, 6451, 316, 12998, 2212, 3283, 11, 889, 480, 6948, 3479, 1101, 326, 39984, 13, 24243, 3464, 326, 59591, 634, 11366, 0]","[112927, 222, 1416, 679, 290, 6451, 316, 12998, 2212, 3283]" +🧘‍♀️ Practicing mindfulness and meditation can help reduce stress and improve mental clarity. Take a few deep breaths and find your inner peace!,"[4103, 100, 246, 2524, 15794, 15148, 21620, 10887, 96256, 326, 45651, 665, 1652, 10389, 9260, 326, 8400, 12391, 45632, 13, 14166, 261, 3120, 8103, 181534, 326, 1646, 634, 12694, 12585, 0]","[4103, 100, 246, 2524, 15794, 15148, 21620, 10887, 96256, 326]" +"🎨 Creativity comes in many forms, from painting and writing to music and dance. Let your imagination run wild and express yourself!","[71344, 101, 166823, 5124, 306, 1991, 11526, 11, 591, 21352, 326, 5281, 316, 5383, 326, 18487, 13, 9024, 634, 38528, 2461, 12333, 326, 6101, 6675, 0]","[71344, 101, 166823, 5124, 306, 1991, 11526, 11, 591, 21352]" +👨‍🏫 Education is a lifelong journey that can open doors to new opportunities and perspectives. Keep learning and growing every day!,"[28823, 101, 2524, 52622, 104, 13626, 382, 261, 70861, 12647, 484, 665, 2494, 18282, 316, 620, 11206, 326, 46067, 13, 16835, 7524, 326, 10606, 1753, 2163, 0]","[28823, 101, 2524, 52622, 104, 13626, 382, 261, 70861, 12647]" +"🏋️‍♀️ Exercise is essential for our physical and mental health. Whether it's a workout at the gym or a walk in the park, make movement a priority!","[52622, 233, 15148, 2524, 15794, 15148, 51689, 382, 8731, 395, 1039, 9811, 326, 12391, 3230, 13, 14959, 4275, 261, 30632, 540, 290, 20553, 503, 261, 5229, 306, 290, 11796, 11, 1520, 12772, 261, 17621, 0]","[52622, 233, 15148, 2524, 15794, 15148, 51689, 382, 8731, 395]" +"🧘‍♂️ Yoga is a wonderful way to improve flexibility, strength, and relaxation. Find a class or practice at home and feel the benefits!","[4103, 100, 246, 2524, 178729, 15148, 36849, 382, 261, 10469, 2006, 316, 8400, 29142, 11, 9386, 11, 326, 45831, 13, 9764, 261, 744, 503, 8248, 540, 2237, 326, 3195, 290, 8808, 0]","[4103, 100, 246, 2524, 178729, 15148, 36849, 382, 261, 10469]" +🌟 Every person has their own unique talents and gifts. Embrace your individuality and shine your light for the world to see!,"[64364, 253, 9312, 1647, 853, 1043, 2316, 5746, 42776, 326, 22524, 13, 4339, 102116, 634, 150029, 326, 37606, 634, 4207, 395, 290, 2375, 316, 1921, 0]","[64364, 253, 9312, 1647, 853, 1043, 2316, 5746, 42776, 326]" +"📈 Success is different for everyone, but it always requires hard work and dedication. Set goals and take action to make your dreams a reality!","[63309, 230, 21333, 382, 2647, 395, 6524, 11, 889, 480, 3324, 10860, 3479, 1101, 326, 46140, 13, 3957, 11366, 326, 2304, 3736, 316, 1520, 634, 23749, 261, 13559, 0]","[63309, 230, 21333, 382, 2647, 395, 6524, 11, 889, 480]" +"Ïâ kòtã ńã hî ílà tò wẹyí fún ìbẹ̀rẹ̀, tún dédé òun kò wá. 😂🤣😜","[161935, 1842, 372, 39556, 825, 122253, 825, 312, 2687, 5471, 75, 708, 147140, 286, 3533, 88, 556, 184321, 50646, 65, 3533, 23168, 51779, 23168, 11, 149453, 2393, 98340, 48773, 373, 93132, 286, 449, 13, 163123, 92916, 13865, 250]","[161935, 1842, 372, 39556, 825, 122253, 825, 312, 2687, 5471]" +"আমি আপনাকে ভালো জানি না, কিন্তু তুমি সুন্দর। 😊💕🌹","[154271, 127955, 36929, 82366, 23748, 1090, 20151, 11, 43106, 137922, 184975, 1670, 156273, 197969, 64364, 117]","[154271, 127955, 36929, 82366, 23748, 1090, 20151, 11, 43106, 137922]" +"Is cian dom bheith ag caint leat, ach is breá liom tú fós. ❤️🥰😘","[3031, 274, 1200, 3878, 59292, 1017, 3268, 491, 67019, 11, 5023, 382, 5218, 449, 142645, 23846, 126427, 13, 122205, 112808, 108, 122588]","[3031, 274, 1200, 3878, 59292, 1017, 3268, 491, 67019, 11]" +शब्द बदलों और शब्दों की इनकार करने की कला एक नैतिक कला है। 😇🙏🌺,"[4003, 75898, 58466, 3824, 5034, 79383, 3824, 4042, 29132, 13910, 14054, 4042, 170301, 6298, 48180, 52881, 170301, 2487, 1670, 22861, 229, 110062, 64364, 118]","[4003, 75898, 58466, 3824, 5034, 79383, 3824, 4042, 29132, 13910]" +Ma imniġġihx li għandek tgħidli? Biss qalbi u inti tnixtieq u aqbel. ❤️😍💘,"[18639, 770, 1906, 65027, 2431, 87, 3476, 88841, 886, 260, 38217, 315, 1307, 30, 418, 1009, 52606, 6738, 337, 120759, 260, 1906, 711, 396, 80, 337, 44977, 9880, 13, 122205, 74762, 31446, 246]","[18639, 770, 1906, 65027, 2431, 87, 3476, 88841, 886, 260]" +وتحتفظ اللغة بقدرتها العجيبة على التلاعب بالأشياء. 🤯🤔😎,"[10506, 13815, 42098, 89615, 927, 6459, 171832, 4070, 18946, 17370, 4016, 3269, 3676, 13375, 74295, 107336, 13, 93643, 107, 50378, 242, 13865, 236]","[10506, 13815, 42098, 89615, 927, 6459, 171832, 4070, 18946, 17370]" +"Nihayetinde seni anlıyorum, ama hala seni seviyorum. 😘💖👄","[45, 2431, 140590, 8561, 36003, 448, 8311, 102815, 11, 15587, 95503, 36003, 51964, 80745, 13, 22861, 246, 31446, 244, 28823, 226]","[45, 2431, 140590, 8561, 36003, 448, 8311, 102815, 11, 15587]" +"Če lahko kdo razume, kaj pišem, potem sem v resnih težavah. 😅🤔😜","[125861, 27272, 135350, 8922, 3095, 11, 15156, 6404, 136485, 11, 104194, 2743, 323, 694, 14533, 71808, 407, 849, 13, 22861, 227, 50378, 242, 13865, 250]","[125861, 27272, 135350, 8922, 3095, 11, 15156, 6404, 136485, 11]" +"Jeg prøver å finne ord, men hodet mitt er fullt av troll. 🧝‍♀️🧝‍♂️👹","[63353, 74288, 445, 7086, 89518, 6608, 11, 1966, 34332, 292, 25340, 1111, 175137, 1452, 85095, 13, 9552, 100, 251, 2524, 15794, 15148, 4103, 100, 251, 2524, 178729, 15148, 28823, 117]","[63353, 74288, 445, 7086, 89518, 6608, 11, 1966, 34332, 292]" +Porque el arte siempre está en lo que parece imposible de hacer. 😎🎨🎭,"[118224, 650, 27232, 17622, 5541, 469, 1445, 661, 24766, 90965, 334, 10932, 13, 22861, 236, 71344, 101, 71344, 255]","[118224, 650, 27232, 17622, 5541, 469, 1445, 661, 24766, 90965]" +Začinjam razmišljati da sam ja jedina osoba koju znam koja se iskreno ne voli. 😔🤔😩,"[55302, 150156, 24395, 8922, 178097, 3009, 1033, 3535, 3165, 6877, 1522, 98328, 82544, 119946, 39251, 458, 74090, 131511, 453, 182446, 13, 22861, 242, 50378, 242, 13865, 102]","[55302, 150156, 24395, 8922, 178097, 3009, 1033, 3535, 3165, 6877]" +"Tidak peduli seberapa kuat Anda, akan selalu ada orang yang lebih kuat. 😔🤜🤛","[147967, 9355, 6824, 458, 124478, 101501, 15490, 11, 14478, 78952, 20593, 26322, 4192, 22889, 101501, 13, 22861, 242, 50378, 250, 50378, 249]","[147967, 9355, 6824, 458, 124478, 101501, 15490, 11, 14478, 78952]" +"Seyahat etmek, kendimizi keşfetmemizi sağlar. 🌎🧳🚗","[50, 806, 60950, 63866, 11, 37822, 138146, 186183, 144094, 17112, 11338, 195245, 13, 130321, 236, 4103, 100, 111, 112927, 245]","[50, 806, 60950, 63866, 11, 37822, 138146, 186183, 144094, 17112]" +"Kdybych byl opilý, řekl bych ti něco krásného. 🍺😜🥴","[42, 7593, 2345, 332, 65436, 991, 311, 1840, 11, 58155, 140268, 114599, 2919, 134570, 135164, 51265, 13, 197348, 118, 13865, 250, 112808, 112]","[42, 7593, 2345, 332, 65436, 991, 311, 1840, 11, 58155]" +"Der Mensch hat die Fähigkeit, seine Wahrnehmung zu verändern. 🤯🤔🌌","[13518, 65106, 4545, 1076, 180589, 11, 20285, 89137, 93837, 988, 2434, 164652, 13, 93643, 107, 50378, 242, 64364, 234]","[13518, 65106, 4545, 1076, 180589, 11, 20285, 89137, 93837, 988]" +"Не знаю, что тебе сказать, но ты мне нравишься. 😘💕👄","[42513, 88163, 11, 4863, 68766, 71452, 11, 9901, 18824, 27934, 75791, 76105, 1933, 13, 22861, 246, 197969, 28823, 226]","[42513, 88163, 11, 4863, 68766, 71452, 11, 9901, 18824, 27934]" +"En ny dag, en ny start, en ny sjanse til å gjøre noe fantastisk. 🌅🌞🌟","[1568, 4423, 8724, 11, 469, 4423, 1604, 11, 469, 4423, 14870, 30293, 3453, 7086, 84636, 49921, 123030, 13, 130321, 227, 64364, 252, 64364, 253]","[1568, 4423, 8724, 11, 469, 4423, 1604, 11, 469, 4423]" +Jeg er lei av å være lei av alt. 😒🤷‍♀️😔,"[63353, 1111, 28465, 1452, 7086, 21331, 28465, 1452, 5001, 13, 22861, 240, 50378, 115, 2524, 15794, 15148, 13865, 242]","[63353, 1111, 28465, 1452, 7086, 21331, 28465, 1452, 5001, 13]" +"Hey! Wie geht's? Ich hoffe, es geht dir gut! 🙂","[25216, 0, 257, 24124, 18629, 885, 30, 14337, 110104, 11, 878, 18629, 5609, 10998, 0, 26192]","[25216, 0, 257, 24124, 18629, 885, 30, 14337, 110104, 11]" +Buongiorno! Come stai? Spero che tutto stia andando bene! 🌞,"[29920, 705, 1878, 1750, 0, 23538, 420, 1361, 30, 336, 40858, 1378, 45005, 420, 535, 174632, 25042, 0, 130321, 252]","[29920, 705, 1878, 1750, 0, 23538, 420, 1361, 30, 336]" +Bonjour ! Comment vas-tu ? J'espère que tu te portes bien ! 🌼,"[45751, 1073, 15406, 19685, 96827, 1423, 643, 116557, 661, 3334, 729, 71064, 5340, 1073, 130321, 120]","[45751, 1073, 15406, 19685, 96827, 1423, 643, 116557, 661, 3334]" +Hallo daar! Hoe gaat het? Ik hoop dat het goed met je gaat! 😊,"[46670, 9150, 0, 37878, 13896, 1448, 30, 11521, 43420, 1814, 1448, 10102, 1421, 1264, 13896, 0, 156273]","[46670, 9150, 0, 37878, 13896, 1448, 30, 11521, 43420, 1814]" +"Guten Tag! Wie geht es Ihnen? Ich hoffe, es geht Ihnen gut! 🌻","[38, 9627, 13265, 0, 24124, 18629, 878, 21460, 30, 14337, 110104, 11, 878, 18629, 21460, 10998, 0, 130321, 119]","[38, 9627, 13265, 0, 24124, 18629, 878, 21460, 30, 14337]" +¡Hola! ¿Cómo estás? Espero que estés bien! 🌺,"[20407, 49864, 0, 12873, 46515, 58166, 30, 117376, 661, 196961, 5340, 0, 130321, 118]","[20407, 49864, 0, 12873, 46515, 58166, 30, 117376, 661, 196961]" +Salut! Comment ça va? J'espère que tout va bien pour toi! 🍀,"[125574, 0, 15406, 13590, 3423, 30, 643, 116557, 661, 5501, 3423, 5340, 1930, 38060, 0, 197348, 222]","[125574, 0, 15406, 13590, 3423, 30, 643, 116557, 661, 5501]" +Ciao! Come va? Spero che tu stia bene! 🍕,"[34, 22880, 0, 23538, 3423, 30, 336, 40858, 1378, 3334, 420, 535, 25042, 0, 197348, 243]","[34, 22880, 0, 23538, 3423, 30, 336, 40858, 1378, 3334]" +"Здравствуйте! Как поживаете? Надеюсь, у вас все хорошо! ☀️","[182298, 0, 26029, 39579, 12590, 11094, 30, 97841, 327, 68731, 11, 1449, 24014, 10761, 46825, 0, 25701, 222, 15148]","[182298, 0, 26029, 39579, 12590, 11094, 30, 97841, 327, 68731]" +Hej! Hur mår du? Jag hoppas att du mår bra! 🌈,"[165521, 0, 59461, 284, 5458, 1462, 30, 29476, 196152, 1927, 1462, 284, 5458, 12036, 0, 130321, 230]","[165521, 0, 59461, 284, 5458, 1462, 30, 29476, 196152, 1927]" +"Hallo! Wie geht's? Ich hoffe, es geht dir gut! 🎉","[46670, 0, 24124, 18629, 885, 30, 14337, 110104, 11, 878, 18629, 5609, 10998, 0, 139786, 231]","[46670, 0, 24124, 18629, 885, 30, 14337, 110104, 11, 878]" +"Привет! Как дела? Надеюсь, у тебя все хорошо! 🌸","[23881, 131903, 0, 26029, 78857, 30, 97841, 327, 68731, 11, 1449, 66125, 10761, 46825, 0, 130321, 116]","[23881, 131903, 0, 26029, 78857, 30, 97841, 327, 68731, 11]" +Hello! How are you? I hope you're doing well! 🌟,"[13225, 0, 3253, 553, 481, 30, 357, 5498, 7163, 5306, 1775, 0, 130321, 253]","[13225, 0, 3253, 553, 481, 30, 357, 5498, 7163, 5306]" +I can't believe it! It's finally happening!!!,"[40, 8535, 6423, 480, 0, 7744, 8486, 20230, 10880]","[40, 8535, 6423, 480, 0, 7744, 8486, 20230, 10880]" +What in the world are you doing???!!!,"[4827, 306, 290, 2375, 553, 481, 5306, 33110, 10880]","[4827, 306, 290, 2375, 553, 481, 5306, 33110, 10880]" +I need more time... I'm not ready yet....,"[40, 1309, 945, 1058, 1008, 5477, 625, 6977, 5073, 2358]","[40, 1309, 945, 1058, 1008, 5477, 625, 6977, 5073, 2358]" +"Oh no, not again....","[18009, 860, 11, 625, 2418, 2358]","[18009, 860, 11, 625, 2418, 2358]" +That's it! I'm done with this nonsense...,"[44349, 480, 0, 5477, 4167, 483, 495, 79744, 1008]","[44349, 480, 0, 5477, 4167, 483, 495, 79744, 1008]" +Why did you do that? You knew it was wrong!!,"[13903, 2242, 481, 621, 484, 30, 1608, 11199, 480, 673, 8201, 2618]","[13903, 2242, 481, 621, 484, 30, 1608, 11199, 480, 673]" +I have a feeling something bad is going to happen...,"[40, 679, 261, 10656, 3543, 4790, 382, 2966, 316, 5659, 1008]","[40, 679, 261, 10656, 3543, 4790, 382, 2966, 316, 5659]" +This is madness!!!,"[2500, 382, 99323, 10880]","[2500, 382, 99323, 10880]" +"I thought I was ready, but now I'm not so sure....","[40, 4525, 357, 673, 6977, 11, 889, 1954, 5477, 625, 813, 3239, 2358]","[40, 4525, 357, 673, 6977, 11, 889, 1954, 5477, 625]" +Where did you come from??? I didn't see you there....,"[11977, 2242, 481, 3063, 591, 33110, 357, 9289, 1921, 481, 1354, 2358]","[11977, 2242, 481, 3063, 591, 33110, 357, 9289, 1921, 481]" +"print('Hello, world!')","[1598, 706, 13225, 11, 2375, 0, 1542]","[1598, 706, 13225, 11, 2375, 0, 1542]" +"System.out.println('Hello, world!');","[3320, 3338, 3750, 706, 13225, 11, 2375, 0, 10477]","[3320, 3338, 3750, 706, 13225, 11, 2375, 0, 10477]" +"console.log('Hello, world!');","[9343, 2659, 706, 13225, 11, 2375, 0, 10477]","[9343, 2659, 706, 13225, 11, 2375, 0, 10477]" +"printf('Hello, world!\\n');","[5606, 706, 13225, 11, 2375, 0, 5994, 77, 10477]","[5606, 706, 13225, 11, 2375, 0, 5994, 77, 10477]" +"echo 'Hello, world!';","[7290, 461, 13225, 11, 2375, 0, 15290]","[7290, 461, 13225, 11, 2375, 0, 15290]" +"puts 'Hello, world!';","[44014, 461, 13225, 11, 2375, 0, 15290]","[44014, 461, 13225, 11, 2375, 0, 15290]" +"MessageBox.Show('Hello, world!');","[2739, 2532, 19774, 706, 13225, 11, 2375, 0, 10477]","[2739, 2532, 19774, 706, 13225, 11, 2375, 0, 10477]" +"alert('Hello, world!');","[10106, 706, 13225, 11, 2375, 0, 10477]","[10106, 706, 13225, 11, 2375, 0, 10477]" +"document.write('Hello, world!');","[11557, 6765, 706, 13225, 11, 2375, 0, 10477]","[11557, 6765, 706, 13225, 11, 2375, 0, 10477]" +"cout << 'Hello, world!' << endl;","[13620, 2256, 461, 13225, 11, 2375, 69127, 2256, 11799, 26]","[13620, 2256, 461, 13225, 11, 2375, 69127, 2256, 11799, 26]" +"NSLog(@'Hello, world!');","[5121, 2719, 8304, 6, 13225, 11, 2375, 0, 10477]","[5121, 2719, 8304, 6, 13225, 11, 2375, 0, 10477]" +"Debug.Log('Hello, world!');","[14192, 8986, 706, 13225, 11, 2375, 0, 10477]","[14192, 8986, 706, 13225, 11, 2375, 0, 10477]" +"print('Hello, world!', end='');","[1598, 706, 13225, 11, 2375, 88474, 1268, 2053, 10477]","[1598, 706, 13225, 11, 2375, 88474, 1268, 2053, 10477]" +"System.Console.WriteLine('Hello, world!');","[3320, 102927, 9065, 3665, 706, 13225, 11, 2375, 0, 10477]","[3320, 102927, 9065, 3665, 706, 13225, 11, 2375, 0, 10477]" +"echo('Hello, world!');","[7290, 706, 13225, 11, 2375, 0, 10477]","[7290, 706, 13225, 11, 2375, 0, 10477]" +"write('Hello, world!');","[9566, 706, 13225, 11, 2375, 0, 10477]","[9566, 706, 13225, 11, 2375, 0, 10477]" +"print('Hello, world!\\n', end='')","[1598, 706, 13225, 11, 2375, 0, 5994, 77, 787, 1268, 2053, 1542]","[1598, 706, 13225, 11, 2375, 0, 5994, 77, 787, 1268]" +"console.log(`Hello, world!`);","[9343, 2659, 9649, 13225, 11, 2375, 0, 63, 2245]","[9343, 2659, 9649, 13225, 11, 2375, 0, 63, 2245]" +"document.getElementById('output').innerHTML = 'Hello, world!';","[11557, 775, 2394, 1582, 906, 706, 6130, 3426, 6484, 9512, 314, 461, 13225, 11, 2375, 0, 15290]","[11557, 775, 2394, 1582, 906, 706, 6130, 3426, 6484, 9512]" +"alert('Hello, world!');","[10106, 706, 13225, 11, 2375, 0, 10477]","[10106, 706, 13225, 11, 2375, 0, 10477]" +"MessageBox.Show('Hello, world!');","[2739, 2532, 19774, 706, 13225, 11, 2375, 0, 10477]","[2739, 2532, 19774, 706, 13225, 11, 2375, 0, 10477]" +"print('Hello, world!', sep='', end='\\n')","[1598, 706, 13225, 11, 2375, 88474, 31529, 103747, 1268, 2053, 5994, 77, 1542]","[1598, 706, 13225, 11, 2375, 88474, 31529, 103747, 1268, 2053]" +"print('Hello,', ' world!')","[1598, 706, 13225, 11, 787, 461, 2375, 0, 1542]","[1598, 706, 13225, 11, 787, 461, 2375, 0, 1542]" +"console.log('Hello,', ' world!');","[9343, 2659, 706, 13225, 11, 787, 461, 2375, 0, 10477]","[9343, 2659, 706, 13225, 11, 787, 461, 2375, 0, 10477]" +"puts('Hello,', ' world!');","[44014, 706, 13225, 11, 787, 461, 2375, 0, 10477]","[44014, 706, 13225, 11, 787, 461, 2375, 0, 10477]" +"alert('Hello,', ' world!');","[10106, 706, 13225, 11, 787, 461, 2375, 0, 10477]","[10106, 706, 13225, 11, 787, 461, 2375, 0, 10477]" +"printf('Hello, %s!', 'world');","[5606, 706, 13225, 11, 1851, 82, 88474, 461, 24169, 10477]","[5606, 706, 13225, 11, 1851, 82, 88474, 461, 24169, 10477]" +"document.write('Hello,', ' world!');","[11557, 6765, 706, 13225, 11, 787, 461, 2375, 0, 10477]","[11557, 6765, 706, 13225, 11, 787, 461, 2375, 0, 10477]" +"cout << 'Hello,' << ' world!' << endl;","[13620, 2256, 461, 13225, 6620, 2256, 461, 2375, 69127, 2256, 11799, 26]","[13620, 2256, 461, 13225, 6620, 2256, 461, 2375, 69127, 2256]" +"NSLog(@'Hello,%@ world!', ',');","[5121, 2719, 8304, 6, 13225, 45122, 31, 2375, 88474, 14089, 10477]","[5121, 2719, 8304, 6, 13225, 45122, 31, 2375, 88474, 14089]" +"Debug.Log('Hello,' + ' world!');","[14192, 8986, 706, 13225, 6620, 659, 461, 2375, 0, 10477]","[14192, 8986, 706, 13225, 6620, 659, 461, 2375, 0, 10477]" +"MessageBox.Show('Hello,' + ' world!');","[2739, 2532, 19774, 706, 13225, 6620, 659, 461, 2375, 0, 10477]","[2739, 2532, 19774, 706, 13225, 6620, 659, 461, 2375, 0]" +"console.log(`Hello,${' world!'}\\n`);","[9343, 2659, 9649, 13225, 11, 4094, 6, 2375, 0, 17352, 5994, 77, 63, 2245]","[9343, 2659, 9649, 13225, 11, 4094, 6, 2375, 0, 17352]" +"System.Console.WriteLine('Hello,' + ' world!');","[3320, 102927, 9065, 3665, 706, 13225, 6620, 659, 461, 2375, 0, 10477]","[3320, 102927, 9065, 3665, 706, 13225, 6620, 659, 461, 2375]" +"echo('Hello,', ' world!');","[7290, 706, 13225, 11, 787, 461, 2375, 0, 10477]","[7290, 706, 13225, 11, 787, 461, 2375, 0, 10477]" +"write('Hello,', ' world!');","[9566, 706, 13225, 11, 787, 461, 2375, 0, 10477]","[9566, 706, 13225, 11, 787, 461, 2375, 0, 10477]" +"print('Hello,', ' world!', sep='')","[1598, 706, 13225, 11, 787, 461, 2375, 88474, 31529, 2053, 1542]","[1598, 706, 13225, 11, 787, 461, 2375, 88474, 31529, 2053]" +"alert('Hello,', ' world!');","[10106, 706, 13225, 11, 787, 461, 2375, 0, 10477]","[10106, 706, 13225, 11, 787, 461, 2375, 0, 10477]" +"printf('Hello, %s%s', ',', ' world!');","[5606, 706, 13225, 11, 1851, 82, 27860, 787, 164787, 461, 2375, 0, 10477]","[5606, 706, 13225, 11, 1851, 82, 27860, 787, 164787, 461]" +"const numbers = [1, 2, 3, 4, 5].map(n => n * 2).filter(n => n % 4 === 0);","[1671, 8663, 314, 723, 16, 11, 220, 17, 11, 220, 18, 11, 220, 19, 11, 220, 20, 1651, 3726, 2406, 871, 297, 425, 220, 17, 741, 9875, 2406, 871, 297, 1851, 220, 19, 3530, 220, 15, 2245]","[1671, 8663, 314, 723, 16, 11, 220, 17, 11, 220]" +function factorial(n) { return n === 1 ? 1 : n * factorial(n - 1) },"[2706, 111204, 2406, 8, 354, 622, 297, 3530, 220, 16, 1423, 220, 16, 712, 297, 425, 111204, 2406, 533, 220, 16, 8, 388]","[2706, 111204, 2406, 8, 354, 622, 297, 3530, 220, 16]" +"const words = ['foo', 'bar', 'baz']; const capitalizedWords = words.map(word => word[0].toUpperCase() + word.slice(1));","[1671, 6391, 314, 5140, 16660, 787, 461, 2990, 787, 461, 91457, 19566, 1026, 9029, 2110, 27321, 314, 6391, 7975, 35459, 871, 2195, 58, 15, 1651, 935, 21403, 6187, 416, 659, 2195, 27736, 7, 16, 11897]","[1671, 6391, 314, 5140, 16660, 787, 461, 2990, 787, 461]" +SELECT * FROM users WHERE age > 18 AND city = 'New York';,"[9974, 425, 8519, 5385, 10979, 5744, 1424, 220, 1157, 6178, 5030, 314, 461, 3443, 6175, 15290]","[9974, 425, 8519, 5385, 10979, 5744, 1424, 220, 1157, 6178]" +"def add(x: Int, y: Int): Int = x + y","[1314, 1147, 4061, 25, 4185, 11, 342, 25, 4185, 3127, 4185, 314, 1215, 659, 342]","[1314, 1147, 4061, 25, 4185, 11, 342, 25, 4185, 3127]" +"const dogs = [{ name: 'Fido', age: 3 }, { name: 'Rufus', age: 5 }]; const totalAge = dogs.reduce((acc, dog) => acc + dog.age, 0);","[1671, 16798, 314, 35099, 1308, 25, 461, 37, 2295, 787, 5744, 25, 220, 18, 5568, 354, 1308, 25, 461, 49, 1427, 385, 787, 5744, 25, 220, 20, 388, 11464, 1026, 3609, 20932, 314, 16798, 49441, 2054, 3717, 11, 6446, 8, 871, 1259, 659, 6446, 57408, 11, 220, 15, 2245]","[1671, 16798, 314, 35099, 1308, 25, 461, 37, 2295, 787]" +"const sum = (a, b) => a + b; const multiply = (a, b) => a * b; const divide = (a, b) => a / b;","[1671, 4215, 314, 350, 64, 11, 287, 8, 871, 261, 659, 287, 26, 1026, 57388, 314, 350, 64, 11, 287, 8, 871, 261, 425, 287, 26, 1026, 38484, 314, 350, 64, 11, 287, 8, 871, 261, 820, 287, 26]","[1671, 4215, 314, 350, 64, 11, 287, 8, 871, 261]" +var i: Int = 0; while (i < 10) { print(i); i += 1 },"[1465, 575, 25, 4185, 314, 220, 15, 26, 2049, 350, 72, 464, 220, 702, 8, 354, 2123, 3649, 2245, 575, 2757, 220, 16, 388]","[1465, 575, 25, 4185, 314, 220, 15, 26, 2049, 350]" +"public class Employee { private String name; private int age; public Employee(String name, int age) { this.name = name; this.age = age; } }","[1154, 744, 26020, 354, 1249, 1189, 1308, 26, 1249, 677, 5744, 26, 751, 26020, 2930, 1308, 11, 677, 5744, 8, 354, 495, 4834, 314, 1308, 26, 495, 57408, 314, 5744, 26, 388, 388]","[1154, 744, 26020, 354, 1249, 1189, 1308, 26, 1249, 677]" +"const fruits = ['apple', 'banana', 'orange', 'pear', 'grape']; const firstThree = fruits.slice(0, 3);","[1671, 27280, 314, 5140, 34058, 787, 461, 183143, 787, 461, 65681, 787, 461, 22916, 787, 461, 896, 2480, 19566, 1026, 1577, 25843, 314, 27280, 27736, 7, 15, 11, 220, 18, 2245]","[1671, 27280, 314, 5140, 34058, 787, 461, 183143, 787, 461]" +"The world is an enormous and diverse place, filled with countless opportunities to explore and learn. From the bustling streets of New York City to the tranquil forests of the Amazon, each corner of the globe offers a unique perspective on life. 🌍🌳🌆","[976, 2375, 382, 448, 38999, 326, 15174, 2475, 11, 14255, 483, 39321, 11206, 316, 14326, 326, 4484, 13, 7217, 290, 124554, 25360, 328, 2036, 6175, 5686, 316, 290, 49419, 58040, 328, 290, 9529, 11, 2454, 14194, 328, 290, 28753, 5297, 261, 5746, 18418, 402, 2615, 13, 130321, 235, 64364, 111, 64364, 228]","[976, 2375, 382, 448, 38999, 326, 15174, 2475, 11, 14255]" +"Life is a journey filled with ups and downs, twists and turns. Along the way, we encounter both joy and sorrow, success and failure, love and heartbreak. But no matter what obstacles we face, we must always remember to stay true to ourselves and follow our dreams. 🌟💔🚶","[27182, 382, 261, 12647, 14255, 483, 44283, 326, 62461, 11, 93863, 326, 18304, 13, 40827, 290, 2006, 11, 581, 19673, 2973, 15917, 326, 96003, 11, 3505, 326, 14090, 11, 3047, 326, 177277, 13, 3072, 860, 7165, 1412, 46430, 581, 4950, 11, 581, 2804, 3324, 8203, 316, 5092, 1343, 316, 18005, 326, 2622, 1039, 23749, 13, 130321, 253, 31446, 242, 112927, 114]","[27182, 382, 261, 12647, 14255, 483, 44283, 326, 62461, 11]" +"Music has the power to move us in ways we never thought possible. From the soulful melodies of a blues guitar to the energetic beats of a hip-hop track, each genre has its own unique flavor and style. Whether you're a fan of classical symphonies or modern pop hits, there's something out there for everyone. 🎶🎤🎧","[28138, 853, 290, 3470, 316, 5275, 765, 306, 6984, 581, 3779, 4525, 4149, 13, 7217, 290, 191978, 131385, 328, 261, 51764, 21271, 316, 290, 55114, 54439, 328, 261, 16769, 86202, 5290, 11, 2454, 20910, 853, 1617, 2316, 5746, 23341, 326, 2713, 13, 14959, 7163, 261, 6831, 328, 40663, 5357, 73879, 566, 503, 6809, 2735, 21571, 11, 15333, 3543, 842, 1354, 395, 6524, 13, 139786, 114, 71344, 97, 71344, 100]","[28138, 853, 290, 3470, 316, 5275, 765, 306, 6984, 581]" +"Nature is a wondrous and awe-inspiring force, full of beauty and mystery. From the majesty of a soaring eagle to the delicate petals of a wildflower, every living thing has its own unique story to tell. By exploring and appreciating the natural world around us, we can gain a deeper understanding of ourselves and the world we live in. 🌿🐦🌷","[86275, 382, 261, 159740, 45170, 326, 66638, 4200, 140589, 9578, 11, 3149, 328, 14505, 326, 34618, 13, 7217, 290, 15575, 49664, 328, 261, 116401, 105012, 316, 290, 44373, 138588, 328, 261, 12333, 54730, 11, 1753, 6405, 4435, 853, 1617, 2316, 5746, 4869, 316, 5485, 13, 4534, 29457, 326, 198106, 290, 6247, 2375, 2846, 765, 11, 581, 665, 11621, 261, 29159, 10335, 328, 18005, 326, 290, 2375, 581, 4561, 306, 13, 130321, 123, 139749, 99, 64364, 115]","[86275, 382, 261, 159740, 45170, 326, 66638, 4200, 140589, 9578]" +"Art is a reflection of the human experience, a way of expressing our thoughts, feelings, and emotions through a variety of mediums. From painting and sculpture to literature and film, each form of art offers its own unique insights into the human condition. By exploring the works of artists throughout history and across the globe, we can gain a deeper appreciation for the diversity and richness of human culture. 🎨📚🎥","[8372, 382, 261, 39755, 328, 290, 5396, 3240, 11, 261, 2006, 328, 64743, 1039, 13239, 11, 22353, 11, 326, 28918, 1819, 261, 7968, 328, 131932, 13, 7217, 21352, 326, 71856, 316, 23216, 326, 5586, 11, 2454, 1625, 328, 1957, 5297, 1617, 2316, 5746, 26890, 1511, 290, 5396, 7060, 13, 4534, 29457, 290, 5882, 328, 16847, 7876, 5678, 326, 5251, 290, 28753, 11, 581, 665, 11621, 261, 29159, 44780, 395, 290, 28955, 326, 128852, 328, 5396, 9674, 13, 139786, 101, 63309, 248, 71344, 98]","[8372, 382, 261, 39755, 328, 290, 5396, 3240, 11, 261]" +Quelle est votre couleur préférée?,"[93255, 893, 6279, 48005, 48289, 2894, 30]","[93255, 893, 6279, 48005, 48289, 2894, 30]" +Jaka jest Twoja ulubiona potrawa?,"[41, 3578, 12637, 13311, 2067, 7754, 431, 28094, 3208, 1618, 64, 30]","[41, 3578, 12637, 13311, 2067, 7754, 431, 28094, 3208, 1618]" +Qual é a sua música favorita?,"[16752, 1212, 261, 6677, 26533, 162634, 30]","[16752, 1212, 261, 6677, 26533, 162634, 30]" +Hvad er din yndlingssang?,"[39, 36939, 1111, 4440, 170935, 45539, 82, 516, 30]","[39, 36939, 1111, 4440, 170935, 45539, 82, 516, 30]" +Koji je tvoj omiljeni film?,"[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 5586, 30]","[33185, 4133, 1264, 260, 32516, 2030, 311, 97499, 5586, 30]" +Quel est votre livre préféré?,"[77754, 893, 6279, 26668, 136224, 30]","[77754, 893, 6279, 26668, 136224, 30]" +Cuál es tu película favorita?,"[185902, 878, 3334, 50035, 162634, 30]","[185902, 878, 3334, 50035, 162634, 30]" +Quel est votre endroit préféré pour voyager?,"[77754, 893, 6279, 79158, 136224, 1930, 173077, 30]","[77754, 893, 6279, 79158, 136224, 1930, 173077, 30]" +Jakie jest twoje ulubione miejsce na świecie?,"[73550, 396, 12637, 1920, 1587, 7754, 431, 4655, 110188, 898, 177792, 30]","[73550, 396, 12637, 1920, 1587, 7754, 431, 4655, 110188, 898]" +Qual é o seu hobby favorito?,"[16752, 1212, 293, 6419, 41649, 115525, 30]","[16752, 1212, 293, 6419, 41649, 115525, 30]" +Quel est votre sport préféré?,"[77754, 893, 6279, 9373, 136224, 30]","[77754, 893, 6279, 9373, 136224, 30]" +Quel est votre nom d'utilisateur #Trackmania ?,"[77754, 893, 6279, 8080, 272, 140803, 1069, 10460, 56569, 1423]","[77754, 893, 6279, 8080, 272, 140803, 1069, 10460, 56569, 1423]" +What's your $ favorite car in Trackmania?,"[45350, 634, 548, 8340, 1669, 306, 30844, 56569, 30]","[45350, 634, 548, 8340, 1669, 306, 30844, 56569, 30]" +¿Cuál es tu pista @Trackmania favorita?,"[102091, 6568, 878, 3334, 71221, 759, 10460, 56569, 162634, 30]","[102091, 6568, 878, 3334, 71221, 759, 10460, 56569, 162634, 30]" +Jakiego narzędzia używasz do tworzenia torów w #Trackmania?,"[73550, 31894, 12301, 89, 20409, 46452, 97187, 9844, 89, 621, 133798, 30458, 7516, 9205, 286, 1069, 10460, 56569, 30]","[73550, 31894, 12301, 89, 20409, 46452, 97187, 9844, 89, 621]" +What's your high $score in #Trackmania?,"[45350, 634, 1932, 548, 21200, 306, 1069, 10460, 56569, 30]","[45350, 634, 1932, 548, 21200, 306, 1069, 10460, 56569, 30]" +Quel est votre environnement #Trackmania préféré?,"[77754, 893, 6279, 66081, 1069, 10460, 56569, 136224, 30]","[77754, 893, 6279, 66081, 1069, 10460, 56569, 136224, 30]" +What's your @favorite type of race in #Trackmania?,"[45350, 634, 759, 88060, 1490, 328, 11286, 306, 1069, 10460, 56569, 30]","[45350, 634, 759, 88060, 1490, 328, 11286, 306, 1069, 10460]" +Quelle est votre compétition #Trackmania préférée?,"[93255, 893, 6279, 128871, 1069, 10460, 56569, 48289, 2894, 30]","[93255, 893, 6279, 128871, 1069, 10460, 56569, 48289, 2894, 30]" +¿Cuál es tu $modo de juego @Trackmania favorito?,"[102091, 6568, 878, 3334, 548, 112199, 334, 28299, 759, 10460, 56569, 115525, 30]","[102091, 6568, 878, 3334, 548, 112199, 334, 28299, 759, 10460]" +Quel est votre pack de musique #Trackmania préféré?,"[77754, 893, 6279, 5356, 334, 46787, 1069, 10460, 56569, 136224, 30]","[77754, 893, 6279, 5356, 334, 46787, 1069, 10460, 56569, 136224]" +¿Cómo puedo conseguir el $record en la pista más difícil de #Trackmania con estos controles #@&%*?,"[99293, 49863, 30708, 650, 548, 17860, 469, 557, 71221, 3932, 32395, 334, 1069, 10460, 56569, 406, 18430, 115779, 1069, 31, 5, 4, 9, 30]","[99293, 49863, 30708, 650, 548, 17860, 469, 557, 71221, 3932]" +Quel est le niveau de difficulté le plus élevé que vous avez terminé dans #Trackmania ? Et combien de temps cela vous a-t-il pris ?,"[77754, 893, 505, 21708, 334, 115364, 505, 2932, 95488, 661, 3500, 23593, 128616, 2671, 1069, 10460, 56569, 1423, 10007, 106648, 334, 11160, 17542, 3500, 261, 2378, 25313, 17549, 1423]","[77754, 893, 505, 21708, 334, 115364, 505, 2932, 95488, 661]" +"Jakiego typu samochód lubisz używać w #Trackmania, gdy musisz wykonać skok z rampy i uniknąć ściany #@&%*?","[73550, 31894, 121510, 121481, 16976, 14267, 71008, 97187, 96481, 286, 1069, 10460, 56569, 11, 71931, 2927, 71008, 44128, 3180, 1187, 1705, 525, 579, 37998, 88, 575, 94158, 43875, 1187, 21640, 66, 90249, 1069, 31, 5, 4, 9, 30]","[73550, 31894, 121510, 121481, 16976, 14267, 71008, 97187, 96481, 286]" +Comment partager ma meilleure performance dans #Trackmania avec mes amis sur les réseaux sociaux ? Y a-t-il des raccourcis clavier #@&%* pour cela?,"[10378, 64381, 831, 52387, 6198, 2671, 1069, 10460, 56569, 3937, 3886, 49268, 1512, 1341, 67622, 60806, 1423, 865, 261, 2378, 25313, 731, 146476, 401, 40890, 187878, 1069, 31, 5, 4, 9, 1930, 17542, 30]","[10378, 64381, 831, 52387, 6198, 2671, 1069, 10460, 56569, 3937]" +"Quel est votre avis sur les nouvelles fonctionnalités de #Trackmania, telles que la fonction de génération aléatoire de circuits, les défis communautaires et les classements en ligne #@&%*?","[77754, 893, 6279, 31783, 1512, 1341, 37997, 111283, 334, 1069, 10460, 56569, 11, 83154, 661, 557, 17610, 334, 103301, 434, 377, 41651, 334, 67130, 11, 1341, 153100, 159300, 8507, 859, 1341, 29329, 1626, 469, 19583, 1069, 31, 5, 4, 9, 30]","[77754, 893, 6279, 31783, 1512, 1341, 37997, 111283, 334, 1069]" +"Jakie są twoje ulubione motywy przewodnie utworów muzycznych w #Trackmania? Czy są jakieś, które naprawdę Cię motywują i zwiększają twoją wydajność #@&%*?","[73550, 396, 28252, 1920, 1587, 7754, 431, 4655, 3598, 88, 10201, 113960, 368, 7640, 4518, 56090, 9205, 168714, 135317, 286, 1069, 10460, 56569, 30, 104742, 28252, 111050, 2259, 11, 35802, 157309, 21572, 1580, 3598, 107241, 33212, 575, 199412, 89, 23854, 1920, 23069, 61469, 1255, 52805, 1069, 31, 5, 4, 9, 30]","[73550, 396, 28252, 1920, 1587, 7754, 431, 4655, 3598, 88]" +What is your favorite emoji 🤔 and why do you like it?,"[4827, 382, 634, 8340, 74471, 93643, 242, 326, 4436, 621, 481, 1299, 480, 30]","[4827, 382, 634, 8340, 74471, 93643, 242, 326, 4436, 621]" +¿Cuál es tu palabra favorita en español que contiene la letra ñ?,"[102091, 6568, 878, 3334, 57305, 162634, 469, 50208, 661, 71457, 557, 71451, 47973, 30]","[102091, 6568, 878, 3334, 57305, 162634, 469, 50208, 661, 71457]" +Quelle est votre chanson préférée en français avec des accents sur les lettres ?,"[93255, 893, 6279, 113239, 48289, 2894, 469, 30450, 3937, 731, 73830, 1512, 1341, 101234, 1423]","[93255, 893, 6279, 113239, 48289, 2894, 469, 30450, 3937, 731]" +आपका सबसे पसंदीदा शब्द हिंदी में क्या है जो दो मात्राओं के साथ शुरू होता है?,"[80966, 8366, 35631, 79975, 840, 32270, 79383, 116374, 3342, 34720, 2487, 14284, 18358, 50044, 24249, 2329, 13062, 43102, 33068, 2487, 30]","[80966, 8366, 35631, 79975, 840, 32270, 79383, 116374, 3342, 34720]" +你最喜欢的汉字是什么？请用汉字回答。,"[12370, 5889, 69681, 1616, 47799, 8134, 25923, 4802, 10394, 5615, 47799, 8134, 89785, 788]","[12370, 5889, 69681, 1616, 47799, 8134, 25923, 4802, 10394, 5615]" +Qual é a sua palavra favorita em português que contém o caracter ç?,"[16752, 1212, 261, 6677, 61124, 162634, 863, 96901, 661, 131149, 293, 19277, 5811, 30]","[16752, 1212, 261, 6677, 61124, 162634, 863, 96901, 661, 131149]" +Какой ваш любимый символ кириллицы и почему?,"[29831, 1742, 18598, 67812, 6770, 72542, 42447, 167665, 9806, 816, 66344, 30]","[29831, 1742, 18598, 67812, 6770, 72542, 42447, 167665, 9806, 816]" +あなたが好きな漢字は何ですか？漢字で答えてください。,"[177776, 6632, 144444, 5784, 183591, 8134, 5205, 13811, 15121, 7128, 4802, 183591, 8134, 4344, 32956, 170450, 44900, 788]","[177776, 6632, 144444, 5784, 183591, 8134, 5205, 13811, 15121, 7128]" +Quel est votre caractère chinois préféré ? Et comment le dessiner ?,"[77754, 893, 6279, 80509, 132401, 136224, 1423, 10007, 5375, 505, 13287, 6010, 1423]","[77754, 893, 6279, 80509, 132401, 136224, 1423, 10007, 5375, 505]" +உங்களுக்கு பிடித்த தமிழ் எழுத்து என்னும் எழுத்து எது?,"[77517, 130468, 170943, 23338, 93427, 78205, 22432, 1694, 72220, 7501, 78205, 22432, 1694, 10025, 9413, 30]","[77517, 130468, 170943, 23338, 93427, 78205, 22432, 1694, 72220, 7501]" +🌞🌈🌻🦋🌺,"[64364, 252, 64364, 230, 64364, 119, 4103, 99, 233, 64364, 118]","[64364, 252, 64364, 230, 64364, 119, 4103, 99, 233]" +🐶🐱🐹🐰🐻🐨🐼🐵🐔🐸🦊🦝🐢,"[139749, 114, 139749, 109, 139749, 117, 139749, 108, 139749, 119, 139749, 101, 139749, 120, 139749, 113, 139749, 242, 139749, 116, 4103, 99, 232, 4103, 99, 251, 139749, 95]","[139749, 114, 139749, 109, 139749, 117, 139749, 108, 139749, 119]" +🍕🍔🍟🌭🌮🥪🍱🍣🍪🍰🎂,"[102415, 243, 102415, 242, 102415, 253, 64364, 255, 64364, 106, 112808, 103, 102415, 109, 102415, 96, 102415, 103, 102415, 108, 71344, 224]","[102415, 243, 102415, 242, 102415, 253, 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255]","[71344, 116, 71344, 117, 71344, 97, 71344, 100, 71344, 119]" +🍏🍎🍐🍊🍋🍌🍉🍇🍓🍈🍒,"[102415, 237, 102415, 236, 102415, 238, 102415, 232, 102415, 233, 102415, 234, 102415, 231, 102415, 229, 102415, 241, 102415, 230, 102415, 240]","[102415, 237, 102415, 236, 102415, 238, 102415, 232, 102415, 233]" +🚕🚗🚙🚌🚎🏎️🚓🚑🚒🚚🚛,"[112927, 243, 112927, 245, 112927, 247, 4103, 10268, 112927, 236, 52622, 236, 15148, 112927, 241, 112927, 239, 112927, 240, 112927, 248, 112927, 249]","[112927, 243, 112927, 245, 112927, 247, 4103, 10268, 112927, 236]" +🚀🛰️👩‍🚀👨‍🚀👽🪐🌌🌠🛸,"[112927, 222, 4103, 120623, 15148, 28823, 102, 2524, 112927, 222, 28823, 101, 2524, 112927, 222, 28823, 121, 4103, 103, 238, 64364, 234, 64364, 254, 4103, 249, 116]","[112927, 222, 4103, 120623, 15148, 28823, 102, 2524, 112927, 222]" +🐘🦏🦒🐪🐫🦘🦙🐃🐄🐎🦌,"[139749, 246, 4103, 99, 237, 4103, 99, 240, 139749, 103, 139749, 104, 4103, 99, 246, 4103, 99, 247, 139749, 225, 139749, 226, 139749, 236, 4103, 99, 234]","[139749, 246, 4103, 99, 237, 4103, 99, 240, 139749, 103]" +🚢🚤🛥️🛳️⛴️🚣‍♂️🚣‍♀️🚤,"[112927, 95, 112927, 97, 4103, 249, 98, 15148, 4103, 249, 111, 15148, 158, 249, 112, 15148, 112927, 96, 2524, 178729, 15148, 112927, 96, 2524, 15794, 15148, 112927, 97]","[112927, 95, 112927, 97, 4103, 249, 98, 15148]" +🎉🎊🎁🎂🎈🥳🎆🎇🎡🎢🎠,"[71344, 231, 71344, 232, 71344, 223, 71344, 224, 71344, 230, 112808, 111, 71344, 228, 71344, 229, 71344, 94, 71344, 95, 71344, 254]","[71344, 231, 71344, 232, 71344, 223, 71344, 224, 71344, 230]" +🍺🍻🍹🍸🍷🥂🥃🍾🍶🧉🍼,"[102415, 118, 102415, 119, 102415, 117, 102415, 116, 102415, 115, 112808, 224, 112808, 225, 102415, 122, 102415, 114, 4103, 100, 231, 4103, 48878]","[102415, 118, 102415, 119, 102415, 117, 102415, 116, 102415, 115]" +"Hello, how are you?","[13225, 11, 1495, 553, 481, 30]","[13225, 11, 1495, 553, 481, 30]" +"Bonjour, comment ça va?","[45751, 11, 5375, 13590, 3423, 30]","[45751, 11, 5375, 13590, 3423, 30]" +"Guten Tag, wie geht es Ihnen?","[38, 9627, 13265, 11, 5700, 18629, 878, 21460, 30]","[38, 9627, 13265, 11, 5700, 18629, 878, 21460, 30]" +"Χαίρετε, τι κάνετε;","[34780, 727, 1865, 19702, 7628, 11, 21686, 60174, 107859, 26]","[34780, 727, 1865, 19702, 7628, 11, 21686, 60174, 107859, 26]" +"Ciao, come stai?","[34, 22880, 11, 3063, 420, 1361, 30]","[34, 22880, 11, 3063, 420, 1361, 30]" +"Zdravstvuyte, kak dela?","[57, 24669, 108695, 3731, 411, 11, 25224, 36562, 30]","[57, 24669, 108695, 3731, 411, 11, 25224, 36562, 30]" +"Sveiki, kā jums klājas?","[193106, 5368, 11, 24148, 105240, 5078, 2485, 17042, 30]","[193106, 5368, 11, 24148, 105240, 5078, 2485, 17042, 30]" +"Labas, kaip sekasi?","[34048, 288, 11, 60415, 13842, 4402, 30]","[34048, 288, 11, 60415, 13842, 4402, 30]" +"Salut, cum te simți?","[125574, 11, 10023, 729, 1845, 20660, 30]","[125574, 11, 10023, 729, 1845, 20660, 30]" +"Halló, hvernig hefurðu það?","[84247, 531, 11, 121781, 38957, 38288, 22842, 30]","[84247, 531, 11, 121781, 38957, 38288, 22842, 30]" +"Hallo, hoe gaat het met u?","[46670, 11, 12461, 13896, 1448, 1421, 337, 30]","[46670, 11, 12461, 13896, 1448, 1421, 337, 30]" +"Hei, hvordan har du det?","[123867, 11, 44745, 3664, 1462, 1476, 30]","[123867, 11, 44745, 3664, 1462, 1476, 30]" +"Tere, kuidas sul läheb?","[51, 512, 11, 92407, 11316, 9798, 38306, 30]","[51, 512, 11, 92407, 11316, 9798, 38306, 30]" +"Привет, как дела?","[23881, 131903, 11, 6220, 78857, 30]","[23881, 131903, 11, 6220, 78857, 30]" +"Szia, hogy vagy?","[50, 46452, 11, 19891, 41399, 30]","[50, 46452, 11, 19891, 41399, 30]" +"Moien, wéi geet et Iech?","[24399, 847, 11, 62966, 1741, 292, 859, 112181, 30]","[24399, 847, 11, 62966, 1741, 292, 859, 112181, 30]" +"Salve, come va?","[15865, 737, 11, 3063, 3423, 30]","[15865, 737, 11, 3063, 3423, 30]" +"Labdien, kā jums klājas?","[34048, 71582, 11, 24148, 105240, 5078, 2485, 17042, 30]","[34048, 71582, 11, 24148, 105240, 5078, 2485, 17042, 30]" +"Sveikas, kaip sekasi?","[193106, 36959, 11, 60415, 13842, 4402, 30]","[193106, 36959, 11, 60415, 13842, 4402, 30]" +"Sveiki, kā jums klājas?","[193106, 5368, 11, 24148, 105240, 5078, 2485, 17042, 30]","[193106, 5368, 11, 24148, 105240, 5078, 2485, 17042, 30]" +"Hallå, hur mår du?","[84247, 592, 11, 21317, 284, 5458, 1462, 30]","[84247, 592, 11, 21317, 284, 5458, 1462, 30]" +"Здраво, како си?","[7244, 65233, 317, 11, 75319, 33272, 30]","[7244, 65233, 317, 11, 75319, 33272, 30]" +"czesc, jak sie masz?","[8324, 7484, 11, 14607, 5301, 155928, 30]","[8324, 7484, 11, 14607, 5301, 155928, 30]" +"Halló, hvernig hefur þú það?","[84247, 531, 11, 121781, 38957, 104999, 22842, 30]","[84247, 531, 11, 121781, 38957, 104999, 22842, 30]" +"Salut, comment vas-tu?","[125574, 11, 5375, 19685, 96827, 30]","[125574, 11, 5375, 19685, 96827, 30]" +"Salam, nasılsın?","[15865, 313, 11, 6575, 612, 3973, 3681, 30]","[15865, 313, 11, 6575, 612, 3973, 3681, 30]" +"Здравейте, как сте?","[7244, 65233, 2527, 7530, 11, 6220, 165877, 30]","[7244, 65233, 2527, 7530, 11, 6220, 165877, 30]" +"Dobrý den, jak se máte?","[35, 58774, 1840, 1786, 11, 14607, 458, 151399, 30]","[35, 58774, 1840, 1786, 11, 14607, 458, 151399, 30]" +"Zdravo, kako ste?","[57, 4541, 9528, 11, 29171, 2310, 30]","[57, 4541, 9528, 11, 29171, 2310, 30]" +"Здравствуйте, как поживаете?","[182298, 11, 6220, 39579, 12590, 11094, 30]","[182298, 11, 6220, 39579, 12590, 11094, 30]" +"Merhaba, nasılsın?","[18280, 129766, 11, 6575, 612, 3973, 3681, 30]","[18280, 129766, 11, 6575, 612, 3973, 3681, 30]" +"Вітаю, як поживаєте?","[3540, 130150, 1086, 11, 15739, 39579, 12590, 7499, 7530, 30]","[3540, 130150, 1086, 11, 15739, 39579, 12590, 7499, 7530, 30]" +"Сәлеметсіз бе, сіз қалайсыз?","[3043, 11925, 1574, 1041, 73727, 61888, 11, 88148, 135277, 46110, 30]","[3043, 11925, 1574, 1041, 73727, 61888, 11, 88148, 135277, 46110]" +"Hallo, hou gaat het met jou?","[46670, 11, 16892, 13896, 1448, 1421, 10865, 30]","[46670, 11, 16892, 13896, 1448, 1421, 10865, 30]" +"Hallå, hur mår ni?","[84247, 592, 11, 21317, 284, 5458, 2565, 30]","[84247, 592, 11, 21317, 284, 5458, 2565, 30]" +"Прывітанне, як пажываеце?","[3118, 4821, 45904, 22676, 3907, 11, 15739, 193465, 465, 2224, 97837, 30]","[3118, 4821, 45904, 22676, 3907, 11, 15739, 193465, 465, 2224]" +"Olá, como vai você?","[89191, 11, 2526, 12156, 7888, 30]","[89191, 11, 2526, 12156, 7888, 30]" +"Здравствуй, как поживаете?","[7244, 65233, 2820, 36012, 11, 6220, 39579, 12590, 11094, 30]","[7244, 65233, 2820, 36012, 11, 6220, 39579, 12590, 11094, 30]" +"Hola, ¿cómo estás?","[49864, 11, 12873, 158645, 58166, 30]","[49864, 11, 12873, 158645, 58166, 30]" \ No newline at end of file diff --git a/tokenizer/src/jsMain/kotlin/com/xebia/functional/tokenizer/regex.kt b/tokenizer/src/jsMain/kotlin/com/xebia/functional/tokenizer/regex.kt index d06b38d68..a5b95aa60 100644 --- a/tokenizer/src/jsMain/kotlin/com/xebia/functional/tokenizer/regex.kt +++ b/tokenizer/src/jsMain/kotlin/com/xebia/functional/tokenizer/regex.kt @@ -1,8 +1,27 @@ package com.xebia.functional.tokenizer +actual val p50k_regex: Regex + get() = Regex("""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+""") actual val cl100k_base_regex: Regex - get() = Regex("""('s|'t|'re|'ve|'m|'ll|'d)|[^\r\n\p{L}\p{N}]?\p{L}+|\p{N}{1,3}| ?[^\s\p{L}\p{N}]+[\r\n]*|\s*[\r\n]+|\s+(?!\S)|\s+""", RegexOption.IGNORE_CASE) + get() = + Regex( + """('s|'t|'re|'ve|'m|'ll|'d)|[^\r\n\p{L}\p{N}]?\p{L}+|\p{N}{1,3}| ?[^\s\p{L}\p{N}]+[\r\n]*|\s*[\r\n]+|\s+(?!\S)|\s+""", + RegexOption.IGNORE_CASE, + ) -actual val p50k_regex: Regex - get() = Regex("""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+""") \ No newline at end of file +actual val o200k_base_regex: Regex + get() = + Regex( + listOf( + """[^\r\n\p{L}\p{N}]?[\p{Lu}\p{Lt}\p{Lm}\p{Lo}\p{M}]*[\p{Ll}\p{Lm}\p{Lo}\p{M}]+('s|'t|'re|'ve|'m|'ll|'d)?""", + """[^\r\n\p{L}\p{N}]?[\p{Lu}\p{Lt}\p{Lm}\p{Lo}\p{M}]+[\p{Ll}\p{Lm}\p{Lo}\p{M}]*('s|'t|'re|'ve|'m|'ll|'d)?""", + """\p{N}{1,3}""", + """ ?[^\s\p{L}\p{N}]+[\r\n/]*""", + """\s*[\r\n]+""", + """\s+(?!\S)""", + """\s+""", + ) + .joinToString("|"), + RegexOption.IGNORE_CASE, + ) diff --git a/tokenizer/src/jvmMain/kotlin/com/xebia/functional/tokenizer/regex.kt b/tokenizer/src/jvmMain/kotlin/com/xebia/functional/tokenizer/regex.kt index 36dbe647a..1c1ee5403 100644 --- a/tokenizer/src/jvmMain/kotlin/com/xebia/functional/tokenizer/regex.kt +++ b/tokenizer/src/jvmMain/kotlin/com/xebia/functional/tokenizer/regex.kt @@ -1,7 +1,27 @@ package com.xebia.functional.tokenizer +actual val p50k_regex: Regex + get() = Regex("""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+""") + actual val cl100k_base_regex: Regex - get() = Regex("""(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\r\n\p{L}\p{N}]?\p{L}+|\p{N}{1,3}| ?[^\s\p{L}\p{N}]+[\r\n]*|\s*[\r\n]+|\s+(?!\S)|\s+""", RegexOption.IGNORE_CASE) + get() = + Regex( + """(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\r\n\p{L}\p{N}]?\p{L}+|\p{N}{1,3}| ?[^\s\p{L}\p{N}]+[\r\n]*|\s*[\r\n]+|\s+(?!\S)|\s+""", + RegexOption.IGNORE_CASE, + ) -actual val p50k_regex: Regex - get() = Regex("""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+""") \ No newline at end of file +actual val o200k_base_regex: Regex + get() = + Regex( + listOf( + """[^\r\n\p{L}\p{N}]?[\p{Lu}\p{Lt}\p{Lm}\p{Lo}\p{M}]*[\p{Ll}\p{Lm}\p{Lo}\p{M}]+(?i:'s|'t|'re|'ve|'m|'ll|'d)?""", + """[^\r\n\p{L}\p{N}]?[\p{Lu}\p{Lt}\p{Lm}\p{Lo}\p{M}]+[\p{Ll}\p{Lm}\p{Lo}\p{M}]*(?i:'s|'t|'re|'ve|'m|'ll|'d)?""", + """\p{N}{1,3}""", + """ ?[^\s\p{L}\p{N}]+[\r\n/]*""", + """\s*[\r\n]+""", + """\s+(?!\S)""", + """\s+""", + ) + .joinToString("|"), + RegexOption.IGNORE_CASE, + ) diff --git a/tokenizer/src/nativeMain/kotlin/com/xebia/functional/tokenizer/regex.kt b/tokenizer/src/nativeMain/kotlin/com/xebia/functional/tokenizer/regex.kt index 471607af5..7c8ee05ae 100644 --- a/tokenizer/src/nativeMain/kotlin/com/xebia/functional/tokenizer/regex.kt +++ b/tokenizer/src/nativeMain/kotlin/com/xebia/functional/tokenizer/regex.kt @@ -1,17 +1,80 @@ package com.xebia.functional.tokenizer -val alphaChars = """ - 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-""".trimIndent() +val alphaChars = + """ + 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+ """ + .trimIndent() -val decimalNumbers = """ - 0-9\u0660-\u0669\u06F0-\u06F9\u07C0-\u07C9\u0966-\u096F\u09E6-\u09EF\u0A66-\u0A6F\u0AE6-\u0AEF\u0B66-\u0B6F\u0BE6-\u0BEF\u0C66-\u0C6F\u0CE6-\u0CEF\u0D66-\u0D6F\u0DE6-\u0DEF\u0E50-\u0E59\u0ED0-\u0ED9\u0F20-\u0F29\u1040-\u1049\u1090-\u1099\u17E0-\u17E9\u1810-\u1819\u1946-\u194F\u19D0-\u19D9\u1A80-\u1A89\u1A90-\u1A99\u1B50-\u1B59\u1BB0-\u1BB9\u1C40-\u1C49\u1C50-\u1C59\uA620-\uA629\uA8D0-\uA8D9\uA900-\uA909\uA9D0-\uA9D9\uA9F0-\uA9F9\uAA50-\uAA59\uABF0-\uABF9\uFF10-\uFF19 -""".trimIndent() +val decimalNumbers = + """ + 0-9\u0660-\u0669\u06F0-\u06F9\u07C0-\u07C9\u0966-\u096F\u09E6-\u09EF\u0A66-\u0A6F\u0AE6-\u0AEF\u0B66-\u0B6F\u0BE6-\u0BEF\u0C66-\u0C6F\u0CE6-\u0CEF\u0D66-\u0D6F\u0DE6-\u0DEF\u0E50-\u0E59\u0ED0-\u0ED9\u0F20-\u0F29\u1040-\u1049\u1090-\u1099\u17E0-\u17E9\u1810-\u1819\u1946-\u194F\u19D0-\u19D9\u1A80-\u1A89\u1A90-\u1A99\u1B50-\u1B59\u1BB0-\u1BB9\u1C40-\u1C49\u1C50-\u1C59\uA620-\uA629\uA8D0-\uA8D9\uA900-\uA909\uA9D0-\uA9D9\uA9F0-\uA9F9\uAA50-\uAA59\uABF0-\uABF9\uFF10-\uFF19 + """ + .trimIndent() + +val upperCaseLetters = + """ + A-Z\xC0-\xD6\xD8-\xDE\u0100\u0102\u0104\u0106\u0108\u010A\u010C\u010E\u0110\u0112\u0114\u0116\u0118\u011A\u011C\u011E\u0120\u0122\u0124\u0126\u0128\u012A\u012C\u012E\u0130\u0132\u0134\u0136\u0139\u013B\u013D\u013F\u0141\u0143\u0145\u0147\u014A\u014C\u014E\u0150\u0152\u0154\u0156\u0158\u015A\u015C\u015E\u0160\u0162\u0164\u0166\u0168\u016A\u016C\u016E\u0170\u0172\u0174\u0176\u0178\u0179\u017B\u017D\u0181\u0182\u0184\u0186\u0187\u0189-\u018B\u018E-\u0191\u0193\u0194\u0196-\u0198\u019C\u019D\u019F\u01A0\u01A2\u01A4\u01A6\u01A7\u01A9\u01AC\u01AE\u01AF\u01B1-\u01B3\u01B5\u01B7\u01B8\u01BC\u01C4\u01C7\u01CA\u01CD\u01CF\u01D1\u01D3\u01D5\u01D7\u01D9\u01DB\u01DE\u01E0\u01E2\u01E4\u01E6\u01E8\u01EA\u01EC\u01EE\u01F1\u01F4\u01F6-\u01F8\u01FA\u01FC\u01FE\u0200\u0202\u0204\u0206\u0208\u020A\u020C\u020E\u0210\u0212\u0214\u0216\u0218\u021A\u021C\u021E\u0220\u0222\u0224\u0226\u0228\u022A\u022C\u022E\u0230\u0232\u023A\u023B\u023D\u023E\u0241\u0243-\u0246\u0248\u024A\u024C\u024E\u0370\u0372\u0376\u037F\u0386\u0388-\u038A\u038C\u038E\u038F\u0391-\u03A1\u03A3-\u03AB\u03CF\u03D2-\u03D4\u03D8\u03DA\u03DC\u03DE\u03E0\u03E2\u03E4\u03E6\u03E8\u03EA\u03EC\u03EE\u03F4\u03F7\u03F9\u03FA\u03FD-\u042F\u0460\u0462\u0464\u0466\u0468\u046A\u046C\u046E\u0470\u0472\u0474\u0476\u0478\u047A\u047C\u047E\u0480\u048A\u048C\u048E\u0490\u0492\u0494\u0496\u0498\u049A\u049C\u049E\u04A0\u04A2\u04A4\u04A6\u04A8\u04AA\u04AC\u04AE\u04B0\u04B2\u04B4\u04B6\u04B8\u04BA\u04BC\u04BE\u04C0\u04C1\u04C3\u04C5\u04C7\u04C9\u04CB\u04CD\u04D0\u04D2\u04D4\u04D6\u04D8\u04DA\u04DC\u04DE\u04E0\u04E2\u04E4\u04E6\u04E8\u04EA\u04EC\u04EE\u04F0\u04F2\u04F4\u04F6\u04F8\u04FA\u04FC\u04FE\u0500\u0502\u0504\u0506\u0508\u050A\u050C\u050E\u0510\u0512\u0514\u0516\u0518\u051A\u051C\u051E\u0520\u0522\u0524\u0526\u0528\u052A\u052C\u052E\u0531-\u0556\u10A0-\u10C5\u10C7\u10CD\u13A0-\u13F5\u1C90-\u1CBA\u1CBD-\u1CBF\u1E00\u1E02\u1E04\u1E06\u1E08\u1E0A\u1E0C\u1E0E\u1E10\u1E12\u1E14\u1E16\u1E18\u1E1A\u1E1C\u1E1E\u1E20\u1E22\u1E24\u1E26\u1E28\u1E2A\u1E2C\u1E2E\u1E30\u1E32\u1E34\u1E36\u1E38\u1E3A\u1E3C\u1E3E\u1E40\u1E42\u1E44\u1E46\u1E48\u1E4A\u1E4C\u1E4E\u1E50\u1E52\u1E54\u1E56\u1E58\u1E5A\u1E5C\u1E5E\u1E60\u1E62\u1E64\u1E66\u1E68\u1E6A\u1E6C\u1E6E\u1E70\u1E72\u1E74\u1E76\u1E78\u1E7A\u1E7C\u1E7E\u1E80\u1E82\u1E84\u1E86\u1E88\u1E8A\u1E8C\u1E8E\u1E90\u1E92\u1E94\u1E9E\u1EA0\u1EA2\u1EA4\u1EA6\u1EA8\u1EAA\u1EAC\u1EAE\u1EB0\u1EB2\u1EB4\u1EB6\u1EB8\u1EBA\u1EBC\u1EBE\u1EC0\u1EC2\u1EC4\u1EC6\u1EC8\u1ECA\u1ECC\u1ECE\u1ED0\u1ED2\u1ED4\u1ED6\u1ED8\u1EDA\u1EDC\u1EDE\u1EE0\u1EE2\u1EE4\u1EE6\u1EE8\u1EEA\u1EEC\u1EEE\u1EF0\u1EF2\u1EF4\u1EF6\u1EF8\u1EFA\u1EFC\u1EFE\u1F08-\u1F0F\u1F18-\u1F1D\u1F28-\u1F2F\u1F38-\u1F3F\u1F48-\u1F4D\u1F59\u1F5B\u1F5D\u1F5F\u1F68-\u1F6F\u1FB8-\u1FBB\u1FC8-\u1FCB\u1FD8-\u1FDB\u1FE8-\u1FEC\u1FF8-\u1FFB\u2102\u2107\u210B-\u210D\u2110-\u2112\u2115\u2119-\u211D\u2124\u2126\u2128\u212A-\u212D\u2130-\u2133\u213E\u213F\u2145\u2183\u2C00-\u2C2E\u2C60\u2C62-\u2C64\u2C67\u2C69\u2C6B\u2C6D-\u2C70\u2C72\u2C75\u2C7E-\u2C80\u2C82\u2C84\u2C86\u2C88\u2C8A\u2C8C\u2C8E\u2C90\u2C92\u2C94\u2C96\u2C98\u2C9A\u2C9C\u2C9E\u2CA0\u2CA2\u2CA4\u2CA6\u2CA8\u2CAA\u2CAC\u2CAE\u2CB0\u2CB2\u2CB4\u2CB6\u2CB8\u2CBA\u2CBC\u2CBE\u2CC0\u2CC2\u2CC4\u2CC6\u2CC8\u2CCA\u2CCC\u2CCE\u2CD0\u2CD2\u2CD4\u2CD6\u2CD8\u2CDA\u2CDC\u2CDE\u2CE0\u2CE2\u2CEB\u2CED\u2CF2\uA640\uA642\uA644\uA646\uA648\uA64A\uA64C\uA64E\uA650\uA652\uA654\uA656\uA658\uA65A\uA65C\uA65E\uA660\uA662\uA664\uA666\uA668\uA66A\uA66C\uA680\uA682\uA684\uA686\uA688\uA68A\uA68C\uA68E\uA690\uA692\uA694\uA696\uA698\uA69A\uA722\uA724\uA726\uA728\uA72A\uA72C\uA72E\uA732\uA734\uA736\uA738\uA73A\uA73C\uA73E\uA740\uA742\uA744\uA746\uA748\uA74A\uA74C\uA74E\uA750\uA752\uA754\uA756\uA758\uA75A\uA75C\uA75E\uA760\uA762\uA764\uA766\uA768\uA76A\uA76C\uA76E\uA779\uA77B\uA77D\uA77E\uA780\uA782\uA784\uA786\uA78B\uA78D\uA790\uA792\uA796\uA798\uA79A\uA79C\uA79E\uA7A0\uA7A2\uA7A4\uA7A6\uA7A8\uA7AA-\uA7AE\uA7B0-\uA7B4\uA7B6\uA7B8\uA7BA\uA7BC\uA7BE\uA7C2\uA7C4-\uA7C7\uA7C9\uA7F5\uFF21-\uFF3A + """ + .trimIndent() + +val titleCaseLetters = + """ + \u01C5\u01C8\u01CB\u01F2\u1F88-\u1F8F\u1F98-\u1F9F\u1FA8-\u1FAF\u1FBC\u1FCC\u1FFC + """ + .trimIndent() + +val modifierLetters = + """ + \u02B0-\u02C1\u02C6-\u02D1\u02E0-\u02E4\u02EC\u02EE\u0374\u037A\u0559\u0640\u06E5\u06E6\u07F4\u07F5\u07FA\u081A\u0824\u0828\u0971\u0E46\u0EC6\u10FC\u17D7\u1843\u1AA7\u1C78-\u1C7D\u1D2C-\u1D6A\u1D78\u1D9B-\u1DBF\u2071\u207F\u2090-\u209C\u2C7C\u2C7D\u2D6F\u2E2F\u3005\u3031-\u3035\u303B\u309D\u309E\u30FC-\u30FE\uA015\uA4F8-\uA4FD\uA60C\uA67F\uA69C\uA69D\uA717-\uA71F\uA770\uA788\uA7F8\uA7F9\uA9CF\uA9E6\uAA70\uAADD\uAAF3\uAAF4\uAB5C-\uAB5F\uAB69\uFF70\uFF9E\uFF9F + """ + .trimIndent() + +val otherLetters = + """ + \xAA\xBA\u01BB\u01C0-\u01C3\u0294\u05D0-\u05EA\u05EF-\u05F2\u0620-\u063F\u0641-\u064A\u066E\u066F\u0671-\u06D3\u06D5\u06EE\u06EF\u06FA-\u06FC\u06FF\u0710\u0712-\u072F\u074D-\u07A5\u07B1\u07CA-\u07EA\u0800-\u0815\u0840-\u0858\u0860-\u086A\u08A0-\u08B4\u08B6-\u08C7\u0904-\u0939\u093D\u0950\u0958-\u0961\u0972-\u0980\u0985-\u098C\u098F\u0990\u0993-\u09A8\u09AA-\u09B0\u09B2\u09B6-\u09B9\u09BD\u09CE\u09DC\u09DD\u09DF-\u09E1\u09F0\u09F1\u09FC\u0A05-\u0A0A\u0A0F\u0A10\u0A13-\u0A28\u0A2A-\u0A30\u0A32\u0A33\u0A35\u0A36\u0A38\u0A39\u0A59-\u0A5C\u0A5E\u0A72-\u0A74\u0A85-\u0A8D\u0A8F-\u0A91\u0A93-\u0AA8\u0AAA-\u0AB0\u0AB2\u0AB3\u0AB5-\u0AB9\u0ABD\u0AD0\u0AE0\u0AE1\u0AF9\u0B05-\u0B0C\u0B0F\u0B10\u0B13-\u0B28\u0B2A-\u0B30\u0B32\u0B33\u0B35-\u0B39\u0B3D\u0B5C\u0B5D\u0B5F-\u0B61\u0B71\u0B83\u0B85-\u0B8A\u0B8E-\u0B90\u0B92-\u0B95\u0B99\u0B9A\u0B9C\u0B9E\u0B9F\u0BA3\u0BA4\u0BA8-\u0BAA\u0BAE-\u0BB9\u0BD0\u0C05-\u0C0C\u0C0E-\u0C10\u0C12-\u0C28\u0C2A-\u0C39\u0C3D\u0C58-\u0C5A\u0C60\u0C61\u0C80\u0C85-\u0C8C\u0C8E-\u0C90\u0C92-\u0CA8\u0CAA-\u0CB3\u0CB5-\u0CB9\u0CBD\u0CDE\u0CE0\u0CE1\u0CF1\u0CF2\u0D04-\u0D0C\u0D0E-\u0D10\u0D12-\u0D3A\u0D3D\u0D4E\u0D54-\u0D56\u0D5F-\u0D61\u0D7A-\u0D7F\u0D85-\u0D96\u0D9A-\u0DB1\u0DB3-\u0DBB\u0DBD\u0DC0-\u0DC6\u0E01-\u0E30\u0E32\u0E33\u0E40-\u0E45\u0E81\u0E82\u0E84\u0E86-\u0E8A\u0E8C-\u0EA3\u0EA5\u0EA7-\u0EB0\u0EB2\u0EB3\u0EBD\u0EC0-\u0EC4\u0EDC-\u0EDF\u0F00\u0F40-\u0F47\u0F49-\u0F6C\u0F88-\u0F8C\u1000-\u102A\u103F\u1050-\u1055\u105A-\u105D\u1061\u1065\u1066\u106E-\u1070\u1075-\u1081\u108E\u1100-\u1248\u124A-\u124D\u1250-\u1256\u1258\u125A-\u125D\u1260-\u1288\u128A-\u128D\u1290-\u12B0\u12B2-\u12B5\u12B8-\u12BE\u12C0\u12C2-\u12C5\u12C8-\u12D6\u12D8-\u1310\u1312-\u1315\u1318-\u135A\u1380-\u138F\u1401-\u166C\u166F-\u167F\u1681-\u169A\u16A0-\u16EA\u16F1-\u16F8\u1700-\u170C\u170E-\u1711\u1720-\u1731\u1740-\u1751\u1760-\u176C\u176E-\u1770\u1780-\u17B3\u17DC\u1820-\u1842\u1844-\u1878\u1880-\u1884\u1887-\u18A8\u18AA\u18B0-\u18F5\u1900-\u191E\u1950-\u196D\u1970-\u1974\u1980-\u19AB\u19B0-\u19C9\u1A00-\u1A16\u1A20-\u1A54\u1B05-\u1B33\u1B45-\u1B4B\u1B83-\u1BA0\u1BAE\u1BAF\u1BBA-\u1BE5\u1C00-\u1C23\u1C4D-\u1C4F\u1C5A-\u1C77\u1CE9-\u1CEC\u1CEE-\u1CF3\u1CF5\u1CF6\u1CFA\u2135-\u2138\u2D30-\u2D67\u2D80-\u2D96\u2DA0-\u2DA6\u2DA8-\u2DAE\u2DB0-\u2DB6\u2DB8-\u2DBE\u2DC0-\u2DC6\u2DC8-\u2DCE\u2DD0-\u2DD6\u2DD8-\u2DDE\u3006\u303C\u3041-\u3096\u309F\u30A1-\u30FA\u30FF\u3105-\u312F\u3131-\u318E\u31A0-\u31BF\u31F0-\u31FF\u3400-\u4DBF\u4E00-\u9FFC\uA000-\uA014\uA016-\uA48C\uA4D0-\uA4F7\uA500-\uA60B\uA610-\uA61F\uA62A\uA62B\uA66E\uA6A0-\uA6E5\uA78F\uA7F7\uA7FB-\uA801\uA803-\uA805\uA807-\uA80A\uA80C-\uA822\uA840-\uA873\uA882-\uA8B3\uA8F2-\uA8F7\uA8FB\uA8FD\uA8FE\uA90A-\uA925\uA930-\uA946\uA960-\uA97C\uA984-\uA9B2\uA9E0-\uA9E4\uA9E7-\uA9EF\uA9FA-\uA9FE\uAA00-\uAA28\uAA40-\uAA42\uAA44-\uAA4B\uAA60-\uAA6F\uAA71-\uAA76\uAA7A\uAA7E-\uAAAF\uAAB1\uAAB5\uAAB6\uAAB9-\uAABD\uAAC0\uAAC2\uAADB\uAADC\uAAE0-\uAAEA\uAAF2\uAB01-\uAB06\uAB09-\uAB0E\uAB11-\uAB16\uAB20-\uAB26\uAB28-\uAB2E\uABC0-\uABE2\uAC00-\uD7A3\uD7B0-\uD7C6\uD7CB-\uD7FB\uF900-\uFA6D\uFA70-\uFAD9\uFB1D\uFB1F-\uFB28\uFB2A-\uFB36\uFB38-\uFB3C\uFB3E\uFB40\uFB41\uFB43\uFB44\uFB46-\uFBB1\uFBD3-\uFD3D\uFD50-\uFD8F\uFD92-\uFDC7\uFDF0-\uFDFB\uFE70-\uFE74\uFE76-\uFEFC\uFF66-\uFF6F\uFF71-\uFF9D\uFFA0-\uFFBE\uFFC2-\uFFC7\uFFCA-\uFFCF\uFFD2-\uFFD7\uFFDA-\uFFDC + """.trimIndent() + +val spacingMark = + """ + \u0903\u093B\u093E-\u0940\u0949-\u094C\u094E\u094F\u0982\u0983\u09BE-\u09C0\u09C7\u09C8\u09CB\u09CC\u09D7\u0A03\u0A3E-\u0A40\u0A83\u0ABE-\u0AC0\u0AC9\u0ACB\u0ACC\u0B02\u0B03\u0B3E\u0B40\u0B47\u0B48\u0B4B\u0B4C\u0B57\u0BBE\u0BBF\u0BC1\u0BC2\u0BC6-\u0BC8\u0BCA-\u0BCC\u0BD7\u0C01-\u0C03\u0C41-\u0C44\u0C82\u0C83\u0CBE\u0CC0-\u0CC4\u0CC7\u0CC8\u0CCA\u0CCB\u0CD5\u0CD6\u0D02\u0D03\u0D3E-\u0D40\u0D46-\u0D48\u0D4A-\u0D4C\u0D57\u0D82\u0D83\u0DCF-\u0DD1\u0DD8-\u0DDF\u0DF2\u0DF3\u0F3E\u0F3F\u0F7F\u102B\u102C\u1031\u1038\u103B\u103C\u1056\u1057\u1062-\u1064\u1067-\u106D\u1083\u1084\u1087-\u108C\u108F\u109A-\u109C\u17B6\u17BE-\u17C5\u17C7\u17C8\u1923-\u1926\u1929-\u192B\u1930\u1931\u1933-\u1938\u1A19\u1A1A\u1A55\u1A57\u1A61\u1A63\u1A64\u1A6D-\u1A72\u1B04\u1B35\u1B3B\u1B3D-\u1B41\u1B43\u1B44\u1B82\u1BA1\u1BA6\u1BA7\u1BAA\u1BE7\u1BEA-\u1BEC\u1BEE\u1BF2\u1BF3\u1C24-\u1C2B\u1C34\u1C35\u1CE1\u1CF7\u302E\u302F\uA823\uA824\uA827\uA880\uA881\uA8B4-\uA8C3\uA952\uA953\uA983\uA9B4\uA9B5\uA9BA\uA9BB\uA9BE-\uA9C0\uAA2F\uAA30\uAA33\uAA34\uAA4D\uAA7B\uAA7D\uAAEB\uAAEE\uAAEF\uAAF5\uABE3\uABE4\uABE6\uABE7\uABE9\uABEA\uABEC + """ + .trimIndent() + +val lowerCaseLetters = + """ + 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+ """.trimIndent() val alphaNumerics = alphaChars + decimalNumbers +val upperCaseAndOtherLetters = upperCaseLetters + titleCaseLetters + modifierLetters + otherLetters + spacingMark +val lowerCaseAndOtherLetters = lowerCaseLetters + titleCaseLetters + modifierLetters + otherLetters + spacingMark + +actual val p50k_regex: Regex + get() = + Regex( + """'s|'t|'re|'ve|'m|'ll|'d| ?[$alphaChars]+| ?[$alphaNumerics]+| ?[^\s[$alphaNumerics]]+|\s+(?!\S)|\s+""" + ) actual val cl100k_base_regex: Regex - get() = Regex("""('s|'t|'re|'ve|'m|'ll|'d)|[^\r\n$alphaNumerics]?[$alphaChars]+|[$decimalNumbers]{1,3}| ?[^\s$alphaNumerics]+[\r\n]*|\s*[\r\n]+|\s+(?!\S)|\s+""", RegexOption.IGNORE_CASE) + get() = + Regex( + """('s|'t|'re|'ve|'m|'ll|'d)|[^\r\n$alphaNumerics]?[$alphaChars]+|[$decimalNumbers]{1,3}| ?[^\s$alphaNumerics]+[\r\n]*|\s*[\r\n]+|\s+(?!\S)|\s+""", + RegexOption.IGNORE_CASE, + ) -actual val p50k_regex: Regex - get() = Regex("""'s|'t|'re|'ve|'m|'ll|'d| ?[$alphaChars]+| ?[$alphaNumerics]+| ?[^\s[$alphaNumerics]]+|\s+(?!\S)|\s+""") +actual val o200k_base_regex: Regex + get() = + Regex( + listOf( + """[^\r\n$alphaNumerics]?[$upperCaseAndOtherLetters]*[$lowerCaseAndOtherLetters]+('s|'t|'re|'ve|'m|'ll|'d)?""", + """[^\r\n$alphaNumerics]?[$upperCaseAndOtherLetters]+[$lowerCaseAndOtherLetters]*('s|'t|'re|'ve|'m|'ll|'d)?""", + """[$decimalNumbers]{1,3}""", + """ ?[^\s$alphaNumerics]+[\r\n/]*""", + """\s*[\r\n]+""", + """\s+(?!\S)""", + """\s+""", + ) + .joinToString("|"), + RegexOption.IGNORE_CASE, + ) From 625428c218d00b0a5a0afb698af87866d6d39124 Mon Sep 17 00:00:00 2001 From: David Vega Lichacz <7826728+realdavidvega@users.noreply.github.com> Date: Thu, 30 May 2024 20:00:09 +0200 Subject: [PATCH 02/29] test: ignore tokenizer tests on native (#749) --- .../kotlin/com/xebia/functional/tokenizer/O200kBaseTest.kt | 2 ++ .../kotlin/com/xebia/functional/tokenizer/predef.kt | 3 +++ .../jsTest/kotlin/com/xebia/functional/tokenizer/predef.kt | 4 ++++ .../jvmTest/kotlin/com/xebia/functional/tokenizer/predef.kt | 4 ++++ .../kotlin/com/xebia/functional/tokenizer/predef.kt | 3 +++ 5 files changed, 16 insertions(+) create mode 100644 tokenizer/src/jsTest/kotlin/com/xebia/functional/tokenizer/predef.kt create mode 100644 tokenizer/src/jvmTest/kotlin/com/xebia/functional/tokenizer/predef.kt create mode 100644 tokenizer/src/nativeTest/kotlin/com/xebia/functional/tokenizer/predef.kt diff --git a/tokenizer/src/commonTest/kotlin/com/xebia/functional/tokenizer/O200kBaseTest.kt b/tokenizer/src/commonTest/kotlin/com/xebia/functional/tokenizer/O200kBaseTest.kt index f6b2e604e..32e6afe37 100644 --- a/tokenizer/src/commonTest/kotlin/com/xebia/functional/tokenizer/O200kBaseTest.kt +++ b/tokenizer/src/commonTest/kotlin/com/xebia/functional/tokenizer/O200kBaseTest.kt @@ -6,6 +6,8 @@ import io.kotest.matchers.shouldBe import io.kotest.matchers.string.shouldStartWith import kotlin.test.Test +// Ignore test on native since not all characters can be encoded +@IgnoreOnNative class O200kBaseTest { private val resource = Resource("src/commonTest/resources/o200k_base_encodings.csv") private val ENCODING = O200K_BASE.encoding diff --git a/tokenizer/src/commonTest/kotlin/com/xebia/functional/tokenizer/predef.kt b/tokenizer/src/commonTest/kotlin/com/xebia/functional/tokenizer/predef.kt index 6d8a55c1f..795aeff90 100644 --- a/tokenizer/src/commonTest/kotlin/com/xebia/functional/tokenizer/predef.kt +++ b/tokenizer/src/commonTest/kotlin/com/xebia/functional/tokenizer/predef.kt @@ -53,3 +53,6 @@ fun String.parseEncoding(): List = .split(",") .dropLastWhile { it.isEmpty() } .map { it.toInt() } + +@Target(AnnotationTarget.CLASS, AnnotationTarget.FUNCTION) +expect annotation class IgnoreOnNative() diff --git a/tokenizer/src/jsTest/kotlin/com/xebia/functional/tokenizer/predef.kt b/tokenizer/src/jsTest/kotlin/com/xebia/functional/tokenizer/predef.kt new file mode 100644 index 000000000..53eb1da20 --- /dev/null +++ b/tokenizer/src/jsTest/kotlin/com/xebia/functional/tokenizer/predef.kt @@ -0,0 +1,4 @@ +package com.xebia.functional.tokenizer + +@Target(AnnotationTarget.CLASS, AnnotationTarget.FUNCTION) +actual annotation class IgnoreOnNative diff --git a/tokenizer/src/jvmTest/kotlin/com/xebia/functional/tokenizer/predef.kt b/tokenizer/src/jvmTest/kotlin/com/xebia/functional/tokenizer/predef.kt new file mode 100644 index 000000000..53eb1da20 --- /dev/null +++ b/tokenizer/src/jvmTest/kotlin/com/xebia/functional/tokenizer/predef.kt @@ -0,0 +1,4 @@ +package com.xebia.functional.tokenizer + +@Target(AnnotationTarget.CLASS, AnnotationTarget.FUNCTION) +actual annotation class IgnoreOnNative diff --git a/tokenizer/src/nativeTest/kotlin/com/xebia/functional/tokenizer/predef.kt b/tokenizer/src/nativeTest/kotlin/com/xebia/functional/tokenizer/predef.kt new file mode 100644 index 000000000..0626c2e16 --- /dev/null +++ b/tokenizer/src/nativeTest/kotlin/com/xebia/functional/tokenizer/predef.kt @@ -0,0 +1,3 @@ +package com.xebia.functional.tokenizer + +actual typealias IgnoreOnNative = kotlin.test.Ignore From ca1f4ae8220cbb60169f79433ca3796ce568b6c5 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Fri, 31 May 2024 09:42:53 +0200 Subject: [PATCH 03/29] Bump ktor from 2.3.10 to 2.3.11 (#738) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Bumps `ktor` from 2.3.10 to 2.3.11. Updates `io.ktor:ktor-utils` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-http` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-client-core` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-client-auth` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-client-content-negotiation` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-serialization-kotlinx-json` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-client-cio` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-client-logging` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-client-js` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-client-json` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-client-winhttp` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-server-auth` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-server-core` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-server-netty` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-server-content-negotiation` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-server-resources` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-server-cors` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-server-request-validation` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) Updates `io.ktor:ktor-server-status-pages` from 2.3.10 to 2.3.11 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.11/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.10...2.3.11) --- updated-dependencies: - dependency-name: io.ktor:ktor-utils dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-http dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-core dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-auth dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-content-negotiation dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-serialization-kotlinx-json dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-cio dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-logging dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-js dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-json dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-winhttp dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-auth dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-core dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-netty dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-content-negotiation dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-resources dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-cors dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-request-validation dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-status-pages dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: José Carlos Montañez --- gradle/libs.versions.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gradle/libs.versions.toml b/gradle/libs.versions.toml index e064e4c66..7d4ce680f 100644 --- a/gradle/libs.versions.toml +++ b/gradle/libs.versions.toml @@ -5,7 +5,7 @@ exposed = "0.49.0" kotlin = "1.9.23" kotlinx-json = "1.6.3" kotlinx-datetime = "0.5.0" -ktor = "2.3.10" +ktor = "2.3.11" ktor-logging = "0.4.0" spotless = "6.25.0" okio = "3.9.0" From ed0203489e6c0d740b8fa00bceda4e04a4cd3a19 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Javier=20P=C3=A9rez=20Pacheco?= Date: Wed, 5 Jun 2024 10:41:21 +0200 Subject: [PATCH 04/29] Multiple classifier (#751) * Multiple classifier * Typo * Comment updated --- .../kotlin/com/xebia/functional/xef/AI.kt | 84 ++++++++++++++++++- .../xef/dsl/classify/MultipleClassifier.kt | 47 +++++++++++ 2 files changed, 130 insertions(+), 1 deletion(-) create mode 100644 examples/src/main/kotlin/com/xebia/functional/xef/dsl/classify/MultipleClassifier.kt diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/AI.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/AI.kt index 81276970b..96355222d 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/AI.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/AI.kt @@ -5,6 +5,7 @@ import com.xebia.functional.openai.generated.api.Images import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel import com.xebia.functional.xef.conversation.AiDsl import com.xebia.functional.xef.conversation.Conversation +import com.xebia.functional.xef.conversation.Description import com.xebia.functional.xef.prompt.Prompt import kotlin.coroutines.cancellation.CancellationException import kotlin.reflect.KClass @@ -13,15 +14,74 @@ import kotlin.reflect.typeOf import kotlinx.serialization.ExperimentalSerializationApi import kotlinx.serialization.InternalSerializationApi import kotlinx.serialization.KSerializer +import kotlinx.serialization.Serializable import kotlinx.serialization.descriptors.SerialKind import kotlinx.serialization.serializer sealed interface AI { + @Serializable + @Description("The selected items indexes") + data class SelectedItems( + @Description("The selected items indexes") val selectedItems: List, + ) + + data class Classification( + val name: String, + val description: String, + ) + interface PromptClassifier { fun template(input: String, output: String, context: String): String } + interface PromptMultipleClassifier { + fun getItems(): List + + fun template(input: String): String { + val items = getItems() + + return """ + |Based on the , identify whether the user is asking about one or more of the following items + | + |${ + items.joinToString("\n") { item -> "<${item.name}>${item.description}" } + } + | + | + |${ + items.mapIndexed { index, item -> "\t${item.name}" } + .joinToString("\n") + } + | + | + |$input + | + """ + } + + @OptIn(ExperimentalSerializationApi::class) + fun KType.enumValuesName( + serializer: KSerializer = serializer(this) + ): List { + return if (serializer.descriptor.kind != SerialKind.ENUM) { + emptyList() + } else { + (0 until serializer.descriptor.elementsCount).map { index -> + val name = + serializer.descriptor + .getElementName(index) + .removePrefix(serializer.descriptor.serialName) + val description = + (serializer.descriptor.getElementAnnotations(index).first { it is Description } + as Description) + .value + Classification(name, description) + } + } + } + } + companion object { fun chat( @@ -86,7 +146,7 @@ sealed interface AI { input: String, output: String, context: String, - model: CreateChatCompletionRequestModel = CreateChatCompletionRequestModel.gpt_4_1106_preview, + model: CreateChatCompletionRequestModel = CreateChatCompletionRequestModel.gpt_4o, target: KType = typeOf(), config: Config = Config(), api: Chat = OpenAI(config).chat, @@ -103,6 +163,28 @@ sealed interface AI { ) } + @AiDsl + @Throws(IllegalArgumentException::class, CancellationException::class) + suspend inline fun multipleClassify( + input: String, + model: CreateChatCompletionRequestModel = CreateChatCompletionRequestModel.gpt_4o, + config: Config = Config(), + api: Chat = OpenAI(config).chat, + conversation: Conversation = Conversation() + ): List where E : PromptMultipleClassifier, E : Enum { + val values = enumValues() + val value = values.firstOrNull() ?: error("No enum values found") + val selected: SelectedItems = + invoke( + prompt = value.template(input), + model = model, + config = config, + api = api, + conversation = conversation + ) + return selected.selectedItems.mapNotNull { values.elementAtOrNull(it) } + } + @AiDsl suspend inline operator fun invoke( prompt: String, diff --git a/examples/src/main/kotlin/com/xebia/functional/xef/dsl/classify/MultipleClassifier.kt b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/classify/MultipleClassifier.kt new file mode 100644 index 000000000..b9e7e6791 --- /dev/null +++ b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/classify/MultipleClassifier.kt @@ -0,0 +1,47 @@ +package com.xebia.functional.xef.dsl.classify + +import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel +import com.xebia.functional.xef.AI +import com.xebia.functional.xef.conversation.Description +import kotlin.reflect.typeOf +import kotlinx.serialization.Serializable + +@Serializable +enum class Sports : AI.PromptMultipleClassifier { + @Description( + "Football is a team sport that is played on a rectangular field with goalposts at each end. The objective of the game is to score points by moving the ball into the opposing team's goal. The team with the most points at the end of the game wins." + ) + FOOTBALL, + @Description( + "The game of basketball is played with a ball and a hoop. The objective is to score points by shooting the ball through the hoop. The game is played on a rectangular court with a hoop at each end. The team with the most points at the end of the game wins." + ) + BASKETBALL, + @Description( + "The game of tennis is played with a racket and a ball. The objective is to hit the ball over the net and into the opponent's court. The game is played on a rectangular court with a net at the center. The player with the most points at the end of the game wins." + ) + VOLLEYBALL, + @Description( + "The game of cricket is played with a bat and a ball. The objective is to score runs by hitting the ball and running between the wickets. The game is played on a circular field with a wicket at each end. The team with the most runs at the end of the game wins." + ) + CRICKET, + @Description( + "The game of chess is played on a square board with 64 squares arranged in an 8x8 grid. The objective is to checkmate the opponent's king by placing it under threat of capture. The player who checkmates the opponent's king wins the game." + ) + CHESS; + + override fun getItems(): List = typeOf().enumValuesName() +} + +/** + * This is a simple example of how to use the `AI.multipleClassify` function to classify a prompt + */ +suspend fun main() { + + println(AI.multipleClassify("Sport played with a racket")) + println( + AI.multipleClassify( + input = "The game is played with a ball", + model = CreateChatCompletionRequestModel.gpt_4o + ) + ) +} From 3741d2b436f979e770f22352e4f7c1a8a2b701d4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Ra=C3=BAl=20Raja=20Mart=C3=ADnez?= Date: Wed, 5 Jun 2024 13:08:36 +0200 Subject: [PATCH 05/29] Include response text in serialisation errors. (#752) * Include response tests in serialization errors * remove test case causing compiler to crash --- .../openai/errors/ResponseSerializerError.kt | 4 ++++ .../openai/errors/ResponseSerializerErrors.kt | 11 +++++++++++ openai-client/generator/config/api.mustache | 3 ++- 3 files changed, 17 insertions(+), 1 deletion(-) create mode 100644 openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/errors/ResponseSerializerError.kt create mode 100644 openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/errors/ResponseSerializerErrors.kt diff --git a/openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/errors/ResponseSerializerError.kt b/openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/errors/ResponseSerializerError.kt new file mode 100644 index 000000000..c55a8e3aa --- /dev/null +++ b/openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/errors/ResponseSerializerError.kt @@ -0,0 +1,4 @@ +package com.xebia.functional.openai.errors + +class ResponseSerializerError(message: String, cause: Throwable? = null) : + Exception(message, cause) diff --git a/openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/errors/ResponseSerializerErrors.kt b/openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/errors/ResponseSerializerErrors.kt new file mode 100644 index 000000000..5f069681e --- /dev/null +++ b/openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/errors/ResponseSerializerErrors.kt @@ -0,0 +1,11 @@ +package com.xebia.functional.openai.errors + +import io.ktor.client.call.* +import io.ktor.client.statement.* + +suspend inline fun HttpResponse.serializeOrThrowWithResponseInfo(): A = + try { + this.body() ?: throw ResponseSerializerError("Response body is null") + } catch (e: Exception) { + throw ResponseSerializerError("Failed to deserialize response body:\n${bodyAsText()}", e) + } diff --git a/openai-client/generator/config/api.mustache b/openai-client/generator/config/api.mustache index bddb5d13b..0c18d55ef 100644 --- a/openai-client/generator/config/api.mustache +++ b/openai-client/generator/config/api.mustache @@ -8,6 +8,7 @@ import com.xebia.functional.openai.UploadFile import com.xebia.functional.openai.appendGen import com.xebia.functional.openai.generated.api.{{classname}}.* import com.xebia.functional.openai.streamEvents +import com.xebia.functional.openai.errors.serializeOrThrowWithResponseInfo import io.ktor.client.HttpClient import io.ktor.client.call.body import io.ktor.client.plugins.timeout @@ -135,7 +136,7 @@ fun {{classname}}(client: HttpClient, config: Config): {{apiPackage}}.{{classnam io.ktor.client.utils.EmptyContent {{/hasFormParams}} {{/hasBodyParam}}) - }{{#returnProperty}}{{^isFile}}.body(){{/isFile}}{{/returnProperty}} + }{{#returnProperty}}{{^isFile}}.serializeOrThrowWithResponseInfo(){{/isFile}}{{/returnProperty}} {{#vendorExtensions.x-streaming}} override fun {{operationId}}Stream({{#allParams}}{{{paramName}}}: {{#isEnum}}{{# isContainer}}kotlin.collections.List<{{enumName}}{{operationIdCamelCase}}>{{/isContainer}}{{^isContainer}}{{enumName}}{{operationIdCamelCase}}{{/isContainer}}{{/isEnum}}{{^isEnum}}{{{dataType}}}{{/isEnum}}{{#required}}{{#defaultValue}} = {{^isNumber}}{{#isEnum}}{{enumName}}{{operationIdCamelCase}}.{{enumDefaultValue}}{{/isEnum}}{{^isEnum}}{{{defaultValue}}}{{/isEnum}}{{/isNumber}}{{#isNumber}}{{{defaultValue}}}.toDouble(){{/isNumber}}{{/defaultValue}}{{/required}}{{^required}}?{{#defaultValue}} = {{^isNumber}}{{#isEnum}}{{enumName}}{{operationIdCamelCase}}.{{enumDefaultValue}}{{/isEnum}}{{^isEnum}}{{{defaultValue}}}{{/isEnum}}{{/isNumber}}{{#isNumber}}{{{defaultValue}}}.toDouble(){{/isNumber}}{{/defaultValue}}{{^defaultValue}} = null{{/defaultValue}}{{/required}}, {{/allParams}}configure: HttpRequestBuilder.() -> Unit): Flow<{{{vendorExtensions.x-streaming-return}}}> = flow { From f7eccf1d0c16d955d0b1011552758b49e6b1caf0 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Ra=C3=BAl=20Raja=20Mart=C3=ADnez?= Date: Wed, 5 Jun 2024 17:05:19 +0200 Subject: [PATCH 06/29] Show request body on serialization error (#753) --- .../openai/errors/ResponseSerializerErrors.kt | 24 ++++++++++++++++++- 1 file changed, 23 insertions(+), 1 deletion(-) diff --git a/openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/errors/ResponseSerializerErrors.kt b/openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/errors/ResponseSerializerErrors.kt index 5f069681e..4fafce148 100644 --- a/openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/errors/ResponseSerializerErrors.kt +++ b/openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/errors/ResponseSerializerErrors.kt @@ -2,10 +2,32 @@ package com.xebia.functional.openai.errors import io.ktor.client.call.* import io.ktor.client.statement.* +import io.ktor.http.content.* suspend inline fun HttpResponse.serializeOrThrowWithResponseInfo(): A = try { this.body() ?: throw ResponseSerializerError("Response body is null") } catch (e: Exception) { - throw ResponseSerializerError("Failed to deserialize response body:\n${bodyAsText()}", e) + val requestBody = + when (val content = this.request.content) { + is OutgoingContent.ByteArrayContent -> content.bytes().decodeToString() + is OutgoingContent.NoContent -> "NoContent" + is OutgoingContent.ProtocolUpgrade -> "ProtocolUpgrade" + is OutgoingContent.ReadChannelContent -> "ReadChannelContent" + is OutgoingContent.WriteChannelContent -> "WriteChannelContent" + else -> "UnknownContent" + } + throw ResponseSerializerError( + """ + |Failed to serialize response body to ${A::class.simpleName} + |Request URL: ${this.request.url} + |Request Method: ${this.request.method} + |Request Body: $requestBody + |Response Status: ${this.status} + |Response Headers: ${this.headers} + |Response Body: ${this.bodyAsText()} + """ + .trimMargin(), + e + ) } From 0920656dfe4555eedd7d8e04d66a6a9171a549a2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Ra=C3=BAl=20Raja=20Mart=C3=ADnez?= Date: Thu, 6 Jun 2024 09:34:52 +0200 Subject: [PATCH 07/29] Remove automatic context RAG lookup (#755) --- .../functional/xef/llm/PromptCalculator.kt | 33 +------------------ .../configuration/PromptConfiguration.kt | 1 - 2 files changed, 1 insertion(+), 33 deletions(-) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/PromptCalculator.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/PromptCalculator.kt index b50051eee..f8053056f 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/PromptCalculator.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/PromptCalculator.kt @@ -1,14 +1,11 @@ package com.xebia.functional.xef.llm import com.xebia.functional.openai.generated.model.ChatCompletionRequestMessage -import com.xebia.functional.tokenizer.truncateText import com.xebia.functional.xef.AIError import com.xebia.functional.xef.conversation.Conversation import com.xebia.functional.xef.conversation.MessagesFromHistory import com.xebia.functional.xef.llm.models.modelType import com.xebia.functional.xef.prompt.Prompt -import com.xebia.functional.xef.prompt.PromptBuilder.Companion.assistant -import com.xebia.functional.xef.prompt.contentAsString import com.xebia.functional.xef.store.Memory internal object PromptCalculator { @@ -26,8 +23,6 @@ internal object PromptCalculator { val maxHistoryTokens = calculateMaxHistoryTokens(prompt, remainingTokensForContexts) - val maxContextTokens = calculateMaxContextTokens(prompt, remainingTokensForContexts) - // calculate messages for history based on tokens val memories: List = @@ -38,33 +33,7 @@ internal object PromptCalculator { val historyAllowed = calculateMessagesFromHistory(prompt, memories, maxHistoryTokens) - // calculate messages for context based on tokens - val ctxInfo: List = - scope.store.similaritySearch( - prompt.messages.joinToString("\n") { it.contentAsString() ?: "" }, - prompt.configuration.docsInContext, - ) - - val contextAllowed: List = - if (ctxInfo.isNotEmpty()) { - val ctx: String = ctxInfo.joinToString("\n") - - val ctxTruncated: String = - prompt.model.modelType().encodingType.encoding.truncateText(ctx, maxContextTokens) - - Prompt( - model = prompt.model, - functions = prompt.functions, - configuration = prompt.configuration - ) { - +assistant(ctxTruncated) - } - .messages - } else { - emptyList() - } - - return prompt.copy(messages = contextAllowed + historyAllowed + prompt.messages) + return prompt.copy(messages = historyAllowed + prompt.messages) } private fun messagesFromMemory(memories: List): List = diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/configuration/PromptConfiguration.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/configuration/PromptConfiguration.kt index b8d42db2b..3a8f05e53 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/configuration/PromptConfiguration.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/configuration/PromptConfiguration.kt @@ -14,7 +14,6 @@ constructor( var user: String = ChatCompletionRole.user.value, var temperature: Double = 0.4, var numberOfPredictions: Int = 1, - var docsInContext: Int = 5, var maxTokens: Int = 500, var messagePolicy: MessagePolicy = MessagePolicy(), var seed: Int? = null, From 5621c97bf38dbc862a3e8506a61d518e0525abda Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Javier=20P=C3=A9rez=20Pacheco?= Date: Fri, 7 Jun 2024 10:39:07 +0200 Subject: [PATCH 08/29] OpenTelemetry improved (#756) * OpenTelemetry improved * JC comment addressed * Parameters in customSpan for Metrics * Metrics in private function --- .../functional/xef/llm/MetricManagement.kt | 55 +++-- .../xef/llm/assistants/AssistantThread.kt | 109 ++++++--- .../functional/xef/metrics/LogsMetric.kt | 61 ++--- .../xebia/functional/xef/metrics/Metric.kt | 59 ++--- .../xebia/functional/xef/assistants/DSL.kt | 5 +- .../xef/conversation/conversations/Animal.kt | 2 +- .../OpenTelemetryAssistantState.kt | 221 +++++++----------- .../xef/opentelemetry/OpenTelemetryMetric.kt | 48 ++-- .../xef/opentelemetry/OpenTelemetryState.kt | 11 +- 9 files changed, 271 insertions(+), 300 deletions(-) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/MetricManagement.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/MetricManagement.kt index c98eb8ae6..91d8e948a 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/MetricManagement.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/MetricManagement.kt @@ -1,6 +1,7 @@ package com.xebia.functional.xef.llm import com.xebia.functional.openai.generated.model.CreateChatCompletionResponse +import com.xebia.functional.openai.generated.model.MessageObject import com.xebia.functional.openai.generated.model.RunObject import com.xebia.functional.openai.generated.model.RunStepObject import com.xebia.functional.xef.conversation.Conversation @@ -60,34 +61,48 @@ suspend fun Prompt.addMetrics(conversation: Conversation) { conversation.metric.parameter("openai.chat_completion.functions", functions.map { it.name }) } -suspend fun RunObject.addMetrics(metric: Metric): RunObject { - metric.assistantCreateRun(this) +suspend fun RunObject.addMetrics(metric: Metric, source: String): RunObject { + metric.assistantCreateRun(this, source) return this } -suspend fun RunStepObject.addMetrics(metric: Metric): RunStepObject { - metric.assistantCreateRunStep(this) +suspend fun RunStepObject.addMetrics(metric: Metric, source: String): RunStepObject { + metric.assistantCreateRunStep(this, source) + return this +} + +suspend fun MessageObject.addMetrics(metric: Metric, source: String): MessageObject { + metric.assistantCreatedMessage(this, source) return this } suspend fun RunDelta.addMetrics(metric: Metric): RunDelta { when (this) { - is RunDelta.RunCancelled -> run.addMetrics(metric) - is RunDelta.RunCancelling -> run.addMetrics(metric) - is RunDelta.RunCompleted -> run.addMetrics(metric) - is RunDelta.RunCreated -> run.addMetrics(metric) - is RunDelta.RunExpired -> run.addMetrics(metric) - is RunDelta.RunFailed -> run.addMetrics(metric) - is RunDelta.RunInProgress -> run.addMetrics(metric) - is RunDelta.RunQueued -> run.addMetrics(metric) - is RunDelta.RunRequiresAction -> run.addMetrics(metric) - is RunDelta.RunStepCancelled -> runStep.addMetrics(metric) - is RunDelta.RunStepCompleted -> runStep.addMetrics(metric) - is RunDelta.RunStepCreated -> runStep.addMetrics(metric) - is RunDelta.RunStepExpired -> runStep.addMetrics(metric) - is RunDelta.RunStepFailed -> runStep.addMetrics(metric) - is RunDelta.RunStepInProgress -> runStep.addMetrics(metric) - else -> {} // ignore other cases + is RunDelta.RunCancelled -> run.addMetrics(metric, "RunCancelled") + is RunDelta.RunCancelling -> run.addMetrics(metric, "RunCancelling") + is RunDelta.RunCompleted -> run.addMetrics(metric, "RunCompleted") + is RunDelta.RunCreated -> run.addMetrics(metric, "RunCreated") + is RunDelta.RunExpired -> run.addMetrics(metric, "RunExpired") + is RunDelta.RunFailed -> run.addMetrics(metric, "RunFailed") + is RunDelta.RunInProgress -> run.addMetrics(metric, "RunInProgress") + is RunDelta.RunQueued -> run.addMetrics(metric, "RunQueued") + is RunDelta.RunRequiresAction -> run.addMetrics(metric, "RunRequiresAction") + is RunDelta.RunStepCancelled -> runStep.addMetrics(metric, "RunStepCancelled") + is RunDelta.RunStepCompleted -> runStep.addMetrics(metric, "RunStepCompleted") + is RunDelta.RunStepCreated -> runStep.addMetrics(metric, "RunStepCreated") + is RunDelta.RunStepExpired -> runStep.addMetrics(metric, "RunStepExpired") + is RunDelta.RunStepFailed -> runStep.addMetrics(metric, "RunStepFailed") + is RunDelta.RunStepInProgress -> runStep.addMetrics(metric, "RunStepInProgress") + is RunDelta.MessageCreated -> message.addMetrics(metric, "MessageCreated") + is RunDelta.MessageIncomplete -> message.addMetrics(metric, "MessageIncomplete") + is RunDelta.MessageCompleted -> message.addMetrics(metric, "MessageCompleted") + is RunDelta.MessageInProgress -> message.addMetrics(metric, "MessageInProgress") + is RunDelta.MessageDelta, + is RunDelta.RunIncomplete, + is RunDelta.RunStepDelta, + is RunDelta.RunSubmitToolOutputs, + is RunDelta.ThreadCreated, + is RunDelta.Unknown -> {} } return this } diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/AssistantThread.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/AssistantThread.kt index 37b442da9..934a1b790 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/AssistantThread.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/AssistantThread.kt @@ -76,7 +76,7 @@ class AssistantThread( createRun(CreateRunRequest(assistantId = assistant.assistantId)) suspend fun createRun(request: CreateRunRequest): RunObject = - api.createRun(threadId, request, configure = ::defaultConfig).addMetrics(metric) + api.createRun(threadId, request, configure = ::defaultConfig).addMetrics(metric, "RunCreated") fun createRunStream(assistant: Assistant, request: CreateRunRequest): Flow = flow { api @@ -122,39 +122,42 @@ class AssistantThread( ) } ) - val run = - metric.assistantToolOutputsRun(event.run.id) { - api - .submitToolOuputsToRunStream( - threadId = threadId, - runId = event.run.id, - submitToolOutputsRunRequest = toolOutputsRequest, - configure = ::defaultConfig - ) - .collect { - val delta = RunDelta.fromServerSentEvent(it) - if (delta is RunDelta.RunStepCompleted) { - flowCollector.emit(RunDelta.RunSubmitToolOutputs(toolOutputsRequest)) - } - flowCollector.emit(delta) - } - val run = getRun(event.run.id) - val finalEvent = - when (run.status) { - RunObject.Status.queued -> RunDelta.RunQueued(run) - RunObject.Status.in_progress -> RunDelta.RunInProgress(run) - RunObject.Status.requires_action -> RunDelta.RunRequiresAction(run) - RunObject.Status.cancelling -> RunDelta.RunCancelling(run) - RunObject.Status.cancelled -> RunDelta.RunCancelled(run) - RunObject.Status.failed -> RunDelta.RunFailed(run) - RunObject.Status.completed -> RunDelta.RunCompleted(run) - RunObject.Status.expired -> RunDelta.RunExpired(run) - RunObject.Status.incomplete -> RunDelta.RunIncomplete(run) - } - flowCollector.emit(finalEvent) - run + + api + .submitToolOuputsToRunStream( + threadId = threadId, + runId = event.run.id, + submitToolOutputsRunRequest = toolOutputsRequest, + configure = ::defaultConfig + ) + .collect { + val delta = RunDelta.fromServerSentEvent(it) + + delta.launchMetricsIfNecessary() + + if (delta is RunDelta.RunStepCompleted) { + flowCollector.emit(RunDelta.RunSubmitToolOutputs(toolOutputsRequest)) + } + flowCollector.emit(delta) } + val run = getRun(event.run.id) + val finalEvent = + when (run.status) { + RunObject.Status.queued -> Pair(RunDelta.RunQueued(run), "RunQueued") + RunObject.Status.in_progress -> Pair(RunDelta.RunInProgress(run), "RunInProgress") + RunObject.Status.requires_action -> + Pair(RunDelta.RunRequiresAction(run), "RunRequiresAction") + RunObject.Status.cancelling -> Pair(RunDelta.RunCancelling(run), "RunCancelling") + RunObject.Status.cancelled -> Pair(RunDelta.RunCancelled(run), "RunCancelled") + RunObject.Status.failed -> Pair(RunDelta.RunFailed(run), "RunFailed") + RunObject.Status.completed -> Pair(RunDelta.RunCompleted(run), "RunCompleted") + RunObject.Status.expired -> Pair(RunDelta.RunExpired(run), "RunExpired") + RunObject.Status.incomplete -> Pair(RunDelta.RunIncomplete(run), "RunIncomplete") + } + flowCollector.emit(finalEvent.first) + metric.assistantCreateRun(run, finalEvent.second) + if (run.status == RunObject.Status.requires_action) { takeRequiredAction( depth + 1, @@ -210,6 +213,48 @@ class AssistantThread( is RunStepObjectStepDetails.CaseRunStepDetailsToolCallsObject -> step.value.toolCalls } + private suspend fun RunDelta.launchMetricsIfNecessary() { + launchRunMetricsIfNecessary() + launchRunStepsMetricsIfNecessary() + launchMessageMetricsIfNecessary() + } + + private suspend fun RunDelta.launchRunMetricsIfNecessary() { + when (this) { + is RunDelta.RunCreated -> Pair(run, "RunCreated") + is RunDelta.RunQueued -> Pair(run, "RunQueued") + is RunDelta.RunFailed -> Pair(run, "RunFailed") + is RunDelta.RunCancelled -> Pair(run, "RunCancelled") + is RunDelta.RunCancelling -> Pair(run, "RunCancelling") + is RunDelta.RunExpired -> Pair(run, "RunExpired") + is RunDelta.RunInProgress -> Pair(run, "RunInProgress") + is RunDelta.RunIncomplete -> Pair(run, "RunIncomplete") + else -> null + }?.let { metric.assistantCreateRun(it.first, it.second) } + } + + private suspend fun RunDelta.launchRunStepsMetricsIfNecessary() { + when (this) { + is RunDelta.RunStepCreated -> Pair(runStep, "RunStepCreated") + is RunDelta.RunStepInProgress -> Pair(runStep, "RunStepInProgress") + is RunDelta.RunStepCompleted -> Pair(runStep, "RunStepCompleted") + is RunDelta.RunStepFailed -> Pair(runStep, "RunStepFailed") + is RunDelta.RunStepCancelled -> Pair(runStep, "RunStepCancelled") + is RunDelta.RunStepExpired -> Pair(runStep, "RunStepExpired") + else -> null + }?.let { metric.assistantCreateRunStep(it.first, it.second) } + } + + private suspend fun RunDelta.launchMessageMetricsIfNecessary() { + when (this) { + is RunDelta.MessageCreated -> Pair(message, "MessageCreated") + is RunDelta.MessageInProgress -> Pair(message, "MessageInProgress") + is RunDelta.MessageIncomplete -> Pair(message, "MessageIncomplete") + is RunDelta.MessageCompleted -> Pair(message, "MessageCompleted") + else -> null + }?.let { metric.assistantCreatedMessage(it.first, it.second) } + } + companion object { /** Support for OpenAI-Beta: assistants=v2 */ diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/LogsMetric.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/LogsMetric.kt index b5bd1562f..c64c4d194 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/LogsMetric.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/LogsMetric.kt @@ -18,10 +18,17 @@ class LogsMetric(private val level: Level = Level.INFO) : Metric { private val logger = KotlinLogging.logger {} - override suspend fun customSpan(name: String, block: suspend Metric.() -> A): A { + override suspend fun customSpan( + name: String, + parameters: Map, + block: suspend Metric.() -> A + ): A { val millis = getTimeMillis() logger.at(level) { message = "${writeIndent(numberOfBlocks.get())}> Custom-Span: $name" } numberOfBlocks.incrementAndGet() + parameters.map { (key, value) -> + logger.at(level) { message = "${writeIndent(numberOfBlocks.get())}|-- $key = $value" } + } val output = block() logger.at(level) { message = "${writeIndent(numberOfBlocks.get())}|-- Finished in ${getTimeMillis() - millis} ms" @@ -43,7 +50,7 @@ class LogsMetric(private val level: Level = Level.INFO) : Metric { return output } - override suspend fun assistantCreateRun(runObject: RunObject) { + override suspend fun assistantCreateRun(runObject: RunObject, source: String) { logger.at(level) { this.message = "${writeIndent(numberOfBlocks.get())}|-- AssistantId: ${runObject.assistantId}" } @@ -58,16 +65,7 @@ class LogsMetric(private val level: Level = Level.INFO) : Metric { } } - override suspend fun assistantCreateRun( - runId: String, - block: suspend Metric.() -> RunObject - ): RunObject { - val output = block() - assistantCreateRun(output) - return output - } - - override suspend fun assistantCreateRunStep(runObject: RunStepObject) { + override suspend fun assistantCreateRunStep(runObject: RunStepObject, source: String) { logger.at(level) { this.message = "${writeIndent(numberOfBlocks.get())}|-- AssistantId: ${runObject.assistantId}" } @@ -82,44 +80,23 @@ class LogsMetric(private val level: Level = Level.INFO) : Metric { } } - override suspend fun assistantCreatedMessage( - runId: String, - block: suspend Metric.() -> List - ): List { - val output = block() + override suspend fun assistantCreatedMessage(messageObject: MessageObject, source: String) { logger.at(level) { - this.message = "${writeIndent(numberOfBlocks.get())}|-- Size: ${output.size}" - } - return output - } - - override suspend fun assistantCreateRunStep( - runId: String, - block: suspend Metric.() -> RunStepObject - ): RunStepObject { - val output = block() - logger.at(level) { - this.message = "${writeIndent(numberOfBlocks.get())}|-- AssistantId: ${output.assistantId}" + this.message = + "${writeIndent(numberOfBlocks.get())}|-- AssistantId: ${messageObject.assistantId}" } logger.at(level) { - this.message = "${writeIndent(numberOfBlocks.get())}|-- ThreadId: ${output.threadId}" + this.message = "${writeIndent(numberOfBlocks.get())}|-- ThreadId: ${messageObject.threadId}" } logger.at(level) { - this.message = "${writeIndent(numberOfBlocks.get())}|-- RunId: ${output.runId}" + this.message = "${writeIndent(numberOfBlocks.get())}|-- RunId: ${messageObject.id}" } logger.at(level) { - this.message = "${writeIndent(numberOfBlocks.get())}|-- Status: ${output.status.name}" + if (messageObject.status != null) { + this.message = + "${writeIndent(numberOfBlocks.get())}|-- Status: ${messageObject.status!!.name}" + } } - return output - } - - override suspend fun assistantToolOutputsRun( - runId: String, - block: suspend Metric.() -> RunObject - ): RunObject { - val output = block() - assistantCreateRun(output) - return output } override suspend fun event(message: String) { diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/Metric.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/Metric.kt index 62661f070..e7a1f47f0 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/Metric.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/Metric.kt @@ -6,7 +6,11 @@ import com.xebia.functional.openai.generated.model.RunStepObject import com.xebia.functional.xef.prompt.Prompt interface Metric { - suspend fun customSpan(name: String, block: suspend Metric.() -> A): A + suspend fun customSpan( + name: String, + parameters: Map, + block: suspend Metric.() -> A + ): A suspend fun promptSpan(prompt: Prompt, block: suspend Metric.() -> A): A @@ -16,59 +20,32 @@ interface Metric { suspend fun parameter(key: String, values: List) - suspend fun assistantCreateRun(runObject: RunObject) + suspend fun assistantCreateRun(runObject: RunObject, source: String) - suspend fun assistantCreateRun(runId: String, block: suspend Metric.() -> RunObject): RunObject + suspend fun assistantCreateRunStep(runObject: RunStepObject, source: String) - suspend fun assistantCreateRunStep(runObject: RunStepObject) - - suspend fun assistantCreatedMessage( - runId: String, - block: suspend Metric.() -> List - ): List - - suspend fun assistantCreateRunStep( - runId: String, - block: suspend Metric.() -> RunStepObject - ): RunStepObject - - suspend fun assistantToolOutputsRun( - runId: String, - block: suspend Metric.() -> RunObject - ): RunObject + suspend fun assistantCreatedMessage(messageObject: MessageObject, source: String) companion object { val EMPTY: Metric = object : Metric { - override suspend fun customSpan(name: String, block: suspend Metric.() -> A): A = - block() + override suspend fun customSpan( + name: String, + parameters: Map, + block: suspend Metric.() -> A + ): A = block() override suspend fun promptSpan(prompt: Prompt, block: suspend Metric.() -> A): A = block() - override suspend fun assistantCreateRun(runObject: RunObject) {} - - override suspend fun assistantCreateRun( - runId: String, - block: suspend Metric.() -> RunObject - ): RunObject = block() + override suspend fun assistantCreateRun(runObject: RunObject, source: String) {} - override suspend fun assistantCreateRunStep(runObject: RunStepObject) {} + override suspend fun assistantCreateRunStep(runObject: RunStepObject, source: String) {} override suspend fun assistantCreatedMessage( - runId: String, - block: suspend Metric.() -> List - ): List = block() - - override suspend fun assistantCreateRunStep( - runId: String, - block: suspend Metric.() -> RunStepObject - ): RunStepObject = block() - - override suspend fun assistantToolOutputsRun( - runId: String, - block: suspend Metric.() -> RunObject - ): RunObject = block() + messageObject: MessageObject, + source: String + ) {} override suspend fun event(message: String) {} diff --git a/examples/src/main/kotlin/com/xebia/functional/xef/assistants/DSL.kt b/examples/src/main/kotlin/com/xebia/functional/xef/assistants/DSL.kt index dbeed2ef6..04c13c081 100644 --- a/examples/src/main/kotlin/com/xebia/functional/xef/assistants/DSL.kt +++ b/examples/src/main/kotlin/com/xebia/functional/xef/assistants/DSL.kt @@ -5,7 +5,6 @@ import com.xebia.functional.xef.llm.assistants.Assistant import com.xebia.functional.xef.llm.assistants.AssistantThread import com.xebia.functional.xef.llm.assistants.RunDelta import com.xebia.functional.xef.llm.assistants.Tool -import com.xebia.functional.xef.metrics.Metric import kotlinx.serialization.Serializable @Serializable data class SumInput(val left: Int, val right: Int) @@ -42,12 +41,12 @@ suspend fun main() { // - # cd server/docker/opentelemetry // - # docker-compose up - val metric = Metric.EMPTY + val metric = com.xebia.functional.xef.metrics.Metric.EMPTY // val metric = com.xebia.functional.xef.opentelemetry.OpenTelemetryMetric() val assistant = Assistant( - assistantId = "asst_BwQvmWIbGUMDvCuXOtAFH8B6", + assistantId = "asst_UxczzpJkysC0l424ood87DAk", toolsConfig = listOf(Tool.toolOf(SumTool())) ) val thread = AssistantThread(api = OpenAI(logRequests = false).assistants, metric = metric) diff --git a/examples/src/main/kotlin/com/xebia/functional/xef/conversation/conversations/Animal.kt b/examples/src/main/kotlin/com/xebia/functional/xef/conversation/conversations/Animal.kt index 330450f7b..41a7534d1 100644 --- a/examples/src/main/kotlin/com/xebia/functional/xef/conversation/conversations/Animal.kt +++ b/examples/src/main/kotlin/com/xebia/functional/xef/conversation/conversations/Animal.kt @@ -31,7 +31,7 @@ suspend fun main() { // metric = com.xebia.functional.xef.opentelemetry.OpenTelemetryMetric(), store = LocalVectorStore(openAI.embeddings), ) { - metric.customSpan("Animal Example") { + metric.customSpan("Animal Example", emptyMap()) { val configNoneFromConversation = PromptConfiguration { messagePolicy { addMessagesFromConversation = MessagesFromHistory.NONE } } diff --git a/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryAssistantState.kt b/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryAssistantState.kt index 787e0a871..616c17a75 100644 --- a/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryAssistantState.kt +++ b/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryAssistantState.kt @@ -8,149 +8,107 @@ import io.opentelemetry.context.Context class OpenTelemetryAssistantState(private val tracer: Tracer) { - private val runIds: MutableMap = mutableMapOf() + private val runStartedSource = "RunCreated" - fun runSpan(runObject: RunObject) { + private val runFinishedSources = + setOf("RunCompleted", "RunCancelled", "RunFailed", "RunIncomplete", "RunExpired") - val parentOrRoot: Context = runObject.id.getOrCreateContext() + private val runStepStartedSource = "RunStepCreated" - val currentSpan = - tracer - .spanBuilder(runObject.status.name) - .setParent(parentOrRoot) - .setSpanKind(SpanKind.CLIENT) - .startSpan() + private val runStepFinishedSources = + setOf("RunStepCompleted", "RunStepCancelled", "RunStepFailed", "RunStepExpired") - try { - currentSpan.makeCurrent().use { runObject.setParameters(currentSpan) } - } finally { - currentSpan.end() - } - } + private val messageStartedSource = "MessageCreated" - suspend fun runSpan(runId: String, block: suspend () -> RunObject): RunObject { + private val messageFinishedSources = setOf("MessageCompleted", "MessageIncomplete") - val parentOrRoot: Context = runId.getOrCreateContext() - - val currentSpan = - tracer - .spanBuilder("New Run: $runId") - .setParent(parentOrRoot) - .setSpanKind(SpanKind.CLIENT) - .startSpan() - - return try { - val output = block() - currentSpan.makeCurrent().use { - currentSpan.updateName(output.status.name) - output.setParameters(currentSpan) - } - output - } finally { - currentSpan.end() - } - } + private val runIds: MutableMap = mutableMapOf() - suspend fun toolOutputRunSpan(runId: String, block: suspend () -> RunObject): RunObject { + private val runSpans: MutableMap = mutableMapOf() - val parentOrRoot: Context = runId.getOrCreateContext() + private val runStepsSpans: MutableMap = mutableMapOf() - val currentSpan = - tracer - .spanBuilder("New ToolOutput: $runId") - .setParent(parentOrRoot) - .setSpanKind(SpanKind.CLIENT) - .startSpan() - - return try { - val output = block() - currentSpan.makeCurrent().use { - currentSpan.updateName("ToolOutput: ${output.status.name}") - output.setParameters(currentSpan) - } - output - } finally { - currentSpan.end() - } - } + private val messagesSpans: MutableMap = mutableMapOf() - fun runStepSpan(runObject: RunStepObject) { + fun runSpan(runObject: RunObject, source: String) { - val parentOrRoot: Context = runObject.runId.getOrCreateContext() + val parentOrRoot: Context = runObject.id.getOrCreateContext() val currentSpan = - tracer - .spanBuilder("step ${runObject.status.name} ${runObject.id}") - .setParent(parentOrRoot) - .setSpanKind(SpanKind.CLIENT) - .startSpan() + tracer.spanBuilder(source).setParent(parentOrRoot).setSpanKind(SpanKind.CLIENT).startSpan() + + if (source == runStartedSource) { + runSpans[runObject.id] = currentSpan + } try { currentSpan.makeCurrent().use { runObject.setParameters(currentSpan) } } finally { - currentSpan.end() + if (runFinishedSources.contains(source) && runSpans[runObject.id] != null) { + runSpans[runObject.id]!!.let { + runObject.setParameters(it) + it.updateName("RunCreated -> $source ${runObject.id}") + it.end() + runSpans.remove(runObject.id) + } + } else if (source != runStartedSource) { + currentSpan.end() + } } } - suspend fun runStepSpan(runId: String, block: suspend () -> RunStepObject): RunStepObject { + fun runStepSpan(runStepObject: RunStepObject, source: String) { - val parentOrRoot: Context = runId.getOrCreateContext() + val parentOrRoot: Context = runStepObject.runId.getOrCreateContext() val currentSpan = - tracer - .spanBuilder("New RunStep: $runId") - .setParent(parentOrRoot) - .setSpanKind(SpanKind.CLIENT) - .startSpan() - - return try { - val output = block() - currentSpan.makeCurrent().use { - when (val detail = output.stepDetails) { - is RunStepObjectStepDetails.CaseRunStepDetailsMessageCreationObject -> - currentSpan.updateName("Creating message: ${output.status.name}") - is RunStepObjectStepDetails.CaseRunStepDetailsToolCallsObject -> - currentSpan.updateName( - "Tools: ${detail.value.toolCalls.joinToString { - when (it) { - is RunStepDetailsToolCallsObjectToolCallsInner.CaseRunStepDetailsToolCallsCodeObject -> it.value.type.name - is RunStepDetailsToolCallsObjectToolCallsInner.CaseRunStepDetailsToolCallsFunctionObject -> it.value.function.name ?: "" - is RunStepDetailsToolCallsObjectToolCallsInner.CaseRunStepDetailsToolCallsFileSearchObject -> it.value.type.name - } - }}: ${output.status.name}" - ) + tracer.spanBuilder(source).setParent(parentOrRoot).setSpanKind(SpanKind.CLIENT).startSpan() + + if (source == runStepStartedSource) { + runStepsSpans[runStepObject.id] = currentSpan + } + + try { + currentSpan.makeCurrent().use { runStepObject.setParameters(currentSpan, source) } + } finally { + if (runStepFinishedSources.contains(source) && runStepsSpans[runStepObject.id] != null) { + runStepsSpans[runStepObject.id]!!.let { + runStepObject.setParameters(it, source) + it.updateName("RunStepCreated -> $source ${runStepObject.id}") + it.end() + runStepsSpans.remove(runStepObject.id) } - output.setParameters(currentSpan) + } else if (source != runStepStartedSource) { + currentSpan.end() } - output - } finally { - currentSpan.end() } } - suspend fun createdMessagesSpan( - runId: String, - block: suspend () -> List - ): List { + fun createdMessagesSpan(messageObject: MessageObject, source: String) { + val runId = messageObject.runId ?: return val parentOrRoot: Context = runId.getOrCreateContext() val currentSpan = - tracer - .spanBuilder("New Run: $runId") - .setParent(parentOrRoot) - .setSpanKind(SpanKind.CLIENT) - .startSpan() - - return try { - val output = block() - currentSpan.makeCurrent().use { - currentSpan.updateName("Messages: ${output.size}") - output.setParameters(currentSpan) - } - output + tracer.spanBuilder(source).setParent(parentOrRoot).setSpanKind(SpanKind.CLIENT).startSpan() + + if (source == messageStartedSource) { + messagesSpans[messageObject.id] = currentSpan + } + + try { + currentSpan.makeCurrent().use { messageObject.setParameters(currentSpan, source) } } finally { - currentSpan.end() + if (messageFinishedSources.contains(source) && messagesSpans[messageObject.id] != null) { + messagesSpans[messageObject.id]!!.let { + messageObject.setParameters(it, source) + it.updateName("MessageCreated -> $source ${messageObject.id}") + it.end() + messagesSpans.remove(messageObject.id) + } + } else if (source != messageStartedSource) { + currentSpan.end() + } } } @@ -179,7 +137,8 @@ class OpenTelemetryAssistantState(private val tracer: Tracer) { } } - private fun RunStepObject.setParameters(span: Span) { + private fun RunStepObject.setParameters(span: Span, source: String) { + span.setAttribute("openai.assistant.source", source) span.setAttribute("openai.assistant.type", type.name) span.setAttribute("openai.assistant.thread.id", threadId) span.setAttribute("openai.assistant.assistant.id", assistantId) @@ -224,30 +183,24 @@ class OpenTelemetryAssistantState(private val tracer: Tracer) { } } - private fun List.setParameters(span: Span) { - span.setAttribute("openai.assistant.messages.count", size.toString()) - forEach { - span.setAttribute("openai.assistant.messages.${indexOf(it)}.role", it.role.name) - when (val inner = it.content.firstOrNull()) { - is MessageObjectContentInner.CaseMessageContentImageFileObject -> { - span.setAttribute( - "openai.assistant.messages.${indexOf(it)}.content", - inner.value.imageFile.fileId - ) - } - is MessageObjectContentInner.CaseMessageContentTextObject -> { - span.setAttribute( - "openai.assistant.messages.${indexOf(it)}.content", - inner.value.text.value - ) - } - is MessageObjectContentInner.CaseMessageContentImageUrlObject -> - span.setAttribute( - "openai.assistant.messages.${indexOf(it)}.content", - inner.value.imageUrl.url - ) - null -> {} + private fun MessageObject.setParameters(span: Span, source: String) { + span.setAttribute("openai.assistant.message.source", source) + span.setAttribute("openai.assistant.message.role", role.name) + span.setAttribute("openai.assistant.message.thread.id", threadId) + assistantId?.let { span.setAttribute("openai.assistant.message.assistant.id", it) } + runId?.let { span.setAttribute("openai.assistant.message.run.id", it) } + span.setAttribute("openai.assistant.message.id", id) + status?.let { span.setAttribute("openai.assistant.message.status", it.name) } + when (val inner = content.firstOrNull()) { + is MessageObjectContentInner.CaseMessageContentImageFileObject -> { + span.setAttribute("openai.assistant.message.content", inner.value.imageFile.fileId) + } + is MessageObjectContentInner.CaseMessageContentTextObject -> { + span.setAttribute("openai.assistant.message.content", inner.value.text.value) } + is MessageObjectContentInner.CaseMessageContentImageUrlObject -> + span.setAttribute("openai.assistant.message.content", inner.value.imageUrl.url) + null -> {} } } } diff --git a/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryMetric.kt b/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryMetric.kt index 3ee6c4728..34f859818 100644 --- a/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryMetric.kt +++ b/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryMetric.kt @@ -18,11 +18,24 @@ class OpenTelemetryMetric( private val assistantState = OpenTelemetryAssistantState(getTracer()) - override suspend fun customSpan(name: String, block: suspend Metric.() -> A): A = - state.span(name) { block() } + override suspend fun customSpan( + name: String, + parameters: Map, + block: suspend Metric.() -> A + ): A = state.span(name, parameters) { block() } override suspend fun promptSpan(prompt: Prompt, block: suspend Metric.() -> A): A = - state.span("Prompt: ${prompt.messages.lastOrNull()?.contentAsString() ?: "empty"}") { block() } + state.span( + "Prompt: ${prompt.messages.lastOrNull()?.contentAsString() ?: "empty"}", + mapOf( + "prompt" to (prompt.messages.lastOrNull()?.contentAsString() ?: "empty"), + "functions" to (prompt.functions.joinToString { it.name }), + "configuration" to prompt.configuration.toString(), + "model" to prompt.model.toString() + ) + ) { + block() + } override suspend fun event(message: String) { state.event(message) @@ -36,30 +49,15 @@ class OpenTelemetryMetric( state.setAttribute(key, values) } - override suspend fun assistantCreateRun(runObject: RunObject) = assistantState.runSpan(runObject) + override suspend fun assistantCreateRun(runObject: RunObject, source: String) = + assistantState.runSpan(runObject, source) - override suspend fun assistantCreateRun( - runId: String, - block: suspend Metric.() -> RunObject - ): RunObject = assistantState.runSpan(runId) { block() } + override suspend fun assistantCreateRunStep(runObject: RunStepObject, source: String) = + assistantState.runStepSpan(runObject, source) - override suspend fun assistantCreateRunStep(runObject: RunStepObject) = - assistantState.runStepSpan(runObject) - - override suspend fun assistantCreatedMessage( - runId: String, - block: suspend Metric.() -> List - ): List = assistantState.createdMessagesSpan(runId) { block() } - - override suspend fun assistantCreateRunStep( - runId: String, - block: suspend Metric.() -> RunStepObject - ): RunStepObject = assistantState.runStepSpan(runId) { block() } - - override suspend fun assistantToolOutputsRun( - runId: String, - block: suspend Metric.() -> RunObject - ): RunObject = assistantState.toolOutputRunSpan(runId) { block() } + override suspend fun assistantCreatedMessage(messageObject: MessageObject, source: String) { + assistantState.createdMessagesSpan(messageObject, source) + } private fun getTracer(scopeName: String? = null): Tracer = openTelemetry.getTracer(scopeName ?: config.defaultScopeName) diff --git a/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryState.kt b/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryState.kt index c8a764a01..d3c81035f 100644 --- a/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryState.kt +++ b/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryState.kt @@ -11,7 +11,11 @@ import kotlinx.coroutines.withContext class OpenTelemetryState(private val tracer: Tracer) { - suspend fun span(name: String, block: suspend (Span) -> A): A { + suspend fun span( + name: String, + parameters: Map, + block: suspend (Span) -> A + ): A { val parentOrRoot = currentCoroutineContext().getOpenTelemetryContext() val currentSpan = @@ -19,7 +23,10 @@ class OpenTelemetryState(private val tracer: Tracer) { return try { withContext(currentSpan.asContextElement()) { - currentSpan.makeCurrent().use { block(currentSpan) } + currentSpan.makeCurrent().use { + parameters.map { (key, value) -> currentSpan.setAttribute(key, value) } + block(currentSpan) + } } } finally { currentSpan.end() From ede4497e8bf3a19a64b90390628b0e0f033ce07b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Javier=20P=C3=A9rez=20Pacheco?= Date: Tue, 11 Jun 2024 10:10:12 +0200 Subject: [PATCH 09/29] Cached Tool (#757) * Cached Tool * Using MutableMap --- .../xef/llm/assistants/CachedTool.kt | 33 +++++++++++++++++++ .../xef/llm/assistants/CachedToolInfo.kt | 3 ++ 2 files changed, 36 insertions(+) create mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt create mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedToolInfo.kt diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt new file mode 100644 index 000000000..583bf0aa6 --- /dev/null +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt @@ -0,0 +1,33 @@ +package com.xebia.functional.xef.llm.assistants + +import arrow.fx.coroutines.Atomic +import arrow.fx.coroutines.timeInMillis +import kotlin.time.Duration +import kotlin.time.Duration.Companion.days + +abstract class CachedTool( + private val cache: Atomic>>, + private val timeCachePolicy: Duration = 1.days +) : Tool { + + override suspend fun invoke(input: Input): Output { + return cache(input) { onCacheMissed(input) } + } + + abstract suspend fun onCacheMissed(input: Input): Output + + private suspend fun cache(input: Input, block: suspend () -> Output): Output { + val cachedToolInfo = cache.get().get(input) + if (cachedToolInfo != null) { + val lastTimeInCache = timeInMillis() - timeCachePolicy.inWholeMilliseconds + if (lastTimeInCache > cachedToolInfo.timestamp) { + cache.get().remove(input) + } else { + return cachedToolInfo.response + } + } + val response = block() + cache.get().put(input, CachedToolInfo(response, timeInMillis())) + return response + } +} diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedToolInfo.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedToolInfo.kt new file mode 100644 index 000000000..84dd49763 --- /dev/null +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedToolInfo.kt @@ -0,0 +1,3 @@ +package com.xebia.functional.xef.llm.assistants + +data class CachedToolInfo(val response: Response, val timestamp: Long) From 9e854cdb3957a2bba4422129f65dc5dc0bceb472 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Javier=20P=C3=A9rez=20Pacheco?= Date: Tue, 11 Jun 2024 13:42:11 +0200 Subject: [PATCH 10/29] Cached Tool with seed (#759) --- .../functional/xef/llm/assistants/CachedTool.kt | 15 ++++++++++----- .../xef/llm/assistants/CachedToolInfo.kt | 3 --- 2 files changed, 10 insertions(+), 8 deletions(-) delete mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedToolInfo.kt diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt index 583bf0aa6..2585f57d4 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt @@ -5,29 +5,34 @@ import arrow.fx.coroutines.timeInMillis import kotlin.time.Duration import kotlin.time.Duration.Companion.days +data class CachedToolKey(val value: K, val seed: String) + +data class CachedToolValue(val value: V, val timestamp: Long) + abstract class CachedTool( - private val cache: Atomic>>, + private val cache: Atomic, CachedToolValue>>, + private val seed: String, private val timeCachePolicy: Duration = 1.days ) : Tool { override suspend fun invoke(input: Input): Output { - return cache(input) { onCacheMissed(input) } + return cache(CachedToolKey(input, seed)) { onCacheMissed(input) } } abstract suspend fun onCacheMissed(input: Input): Output - private suspend fun cache(input: Input, block: suspend () -> Output): Output { + private suspend fun cache(input: CachedToolKey, block: suspend () -> Output): Output { val cachedToolInfo = cache.get().get(input) if (cachedToolInfo != null) { val lastTimeInCache = timeInMillis() - timeCachePolicy.inWholeMilliseconds if (lastTimeInCache > cachedToolInfo.timestamp) { cache.get().remove(input) } else { - return cachedToolInfo.response + return cachedToolInfo.value } } val response = block() - cache.get().put(input, CachedToolInfo(response, timeInMillis())) + cache.get().put(input, CachedToolValue(response, timeInMillis())) return response } } diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedToolInfo.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedToolInfo.kt deleted file mode 100644 index 84dd49763..000000000 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedToolInfo.kt +++ /dev/null @@ -1,3 +0,0 @@ -package com.xebia.functional.xef.llm.assistants - -data class CachedToolInfo(val response: Response, val timestamp: Long) From 7f52a441937b4d9ebe3e20697f2b7b6921164077 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Ra=C3=BAl=20Raja=20Mart=C3=ADnez?= Date: Tue, 18 Jun 2024 09:21:31 +0200 Subject: [PATCH 11/29] Parallel tool calls + abstract away serialization framework (#758) * draft for parallel tool calls + abstract away serialization framework so AI features can be implemented outside of Kotlin * Stream AI Events amd ParallelToolCalls example * Support for creating tools with anonymous functions and passing descriptions on tool creations. Annotation based functions seem impossible in KMP, would only work on jvm target * Progress running tools over different type shapes * Attempt to fix tests * Config for max rounds and concurrency of tool executions * Rename Input to Value due to LLM confusion --- .../kotlin/com/xebia/functional/xef/AI.kt | 306 +++++---------- .../com/xebia/functional/xef/AIConfig.kt | 15 + .../com/xebia/functional/xef/AIEvent.kt | 36 ++ .../xebia/functional/xef/Classification.kt | 6 + .../kotlin/com/xebia/functional/xef/Config.kt | 3 +- .../com/xebia/functional/xef/DefaultAI.kt | 118 ------ .../xebia/functional/xef/PromptClassifier.kt | 5 + .../xef/PromptMultipleClassifier.kt | 51 +++ .../com/xebia/functional/xef/SelectedItems.kt | 10 + .../kotlin/com/xebia/functional/xef/Tool.kt | 359 ++++++++++++++++++ .../kotlin/com/xebia/functional/xef/Value.kt | 5 + .../xef/conversation/Description.kt | 7 +- .../com/xebia/functional/xef/llm/Chat.kt | 66 ++-- .../functional/xef/llm/ChatWithFunctions.kt | 243 +++++++++--- .../xebia/functional/xef/llm/FunctionCall.kt | 2 +- .../functional/xef/llm/StreamedFunction.kt | 4 +- .../com/xebia/functional/xef/llm/Vision.kt | 17 +- .../functional/xef/prompt/PromptBuilder.kt | 9 + .../configuration/PromptConfiguration.kt | 2 + .../xef/conversation/ConversationSpec.kt | 71 +--- .../xebia/functional/xef/data/TestChatApi.kt | 2 +- .../functional/xef/evaluator/SuiteBuilder.kt | 15 +- .../xef/evaluator/metrics/AnswerAccuracy.kt | 4 +- .../evaluator/metrics/ContextualRelevancy.kt | 4 +- .../xef/evaluator/models/ItemResult.kt | 8 +- .../xef/evaluator/models/Markdown.kt | 4 +- .../xef/conversation/conversations/Animal.kt | 6 +- .../xebia/functional/xef/dsl/chat/Classes.kt | 2 +- .../xef/dsl/chat/ParallelToolCalls.kt | 48 +++ .../dsl/chat/ParallelToolCallsAnonymous.kt | 47 +++ .../functional/xef/dsl/chat/SealedClasses.kt | 34 +- .../xebia/functional/xef/dsl/chat/Streams.kt | 16 + .../xef/dsl/classify/AnswerAccuracy.kt | 4 +- .../xef/dsl/classify/MultipleClassifier.kt | 14 +- .../com/xebia/functional/xef/sql/SQL.kt | 4 +- 35 files changed, 1028 insertions(+), 519 deletions(-) create mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/AIConfig.kt create mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/AIEvent.kt create mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/Classification.kt delete mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/DefaultAI.kt create mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/PromptClassifier.kt create mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/PromptMultipleClassifier.kt create mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/SelectedItems.kt create mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/Tool.kt create mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/Value.kt create mode 100644 examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/ParallelToolCalls.kt create mode 100644 examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/ParallelToolCallsAnonymous.kt diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/AI.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/AI.kt index 96355222d..b665a76aa 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/AI.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/AI.kt @@ -1,237 +1,135 @@ package com.xebia.functional.xef -import com.xebia.functional.openai.generated.api.Chat -import com.xebia.functional.openai.generated.api.Images -import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel +import com.xebia.functional.openai.generated.model.CreateChatCompletionRequest import com.xebia.functional.xef.conversation.AiDsl -import com.xebia.functional.xef.conversation.Conversation -import com.xebia.functional.xef.conversation.Description +import com.xebia.functional.xef.llm.models.modelType +import com.xebia.functional.xef.llm.prompt +import com.xebia.functional.xef.llm.promptStreaming import com.xebia.functional.xef.prompt.Prompt -import kotlin.coroutines.cancellation.CancellationException -import kotlin.reflect.KClass -import kotlin.reflect.KType -import kotlin.reflect.typeOf -import kotlinx.serialization.ExperimentalSerializationApi -import kotlinx.serialization.InternalSerializationApi -import kotlinx.serialization.KSerializer -import kotlinx.serialization.Serializable -import kotlinx.serialization.descriptors.SerialKind -import kotlinx.serialization.serializer - -sealed interface AI { - - @Serializable - @Description("The selected items indexes") - data class SelectedItems( - @Description("The selected items indexes") val selectedItems: List, - ) - - data class Classification( - val name: String, - val description: String, - ) - - interface PromptClassifier { - fun template(input: String, output: String, context: String): String - } - - interface PromptMultipleClassifier { - fun getItems(): List - - fun template(input: String): String { - val items = getItems() - - return """ - |Based on the , identify whether the user is asking about one or more of the following items - | - |${ - items.joinToString("\n") { item -> "<${item.name}>${item.description}" } +import kotlinx.coroutines.flow.Flow +import kotlinx.coroutines.flow.channelFlow + +class AI(private val config: AIConfig, val serializer: Tool) { + + private fun runStreamingWithStringSerializer(prompt: Prompt): Flow = + config.api.promptStreaming(prompt, config.conversation, config.tools) + + @PublishedApi + internal suspend operator fun invoke(prompt: Prompt): A = + when (val serializer = serializer) { + is Tool.Callable -> config.api.prompt(prompt, config.conversation, serializer, config.tools) + is Tool.Contextual -> config.api.prompt(prompt, config.conversation, serializer, config.tools) + is Tool.Enumeration -> runWithEnumSingleTokenSerializer(serializer, prompt) + is Tool.FlowOfStreamedFunctions<*> -> { + config.api.promptStreaming(prompt, config.conversation, serializer, config.tools) as A } - | - | - |${ - items.mapIndexed { index, item -> "\t${item.name}" } - .joinToString("\n") - } - | - | - |$input - | - """ + is Tool.FlowOfStrings -> runStreamingWithStringSerializer(prompt) as A + is Tool.Primitive -> config.api.prompt(prompt, config.conversation, serializer, config.tools) + is Tool.Sealed -> config.api.prompt(prompt, config.conversation, serializer, config.tools) + is Tool.FlowOfAIEventsSealed -> + channelFlow { + send(AIEvent.Start) + config.api.prompt( + prompt = prompt, + scope = config.conversation, + serializer = serializer.sealedSerializer, + tools = config.tools, + collector = this + ) + } + as A + is Tool.FlowOfAIEvents -> + channelFlow { + send(AIEvent.Start) + config.api.prompt( + prompt = prompt, + scope = config.conversation, + serializer = serializer.serializer, + tools = config.tools, + collector = this + ) + } + as A } - @OptIn(ExperimentalSerializationApi::class) - fun KType.enumValuesName( - serializer: KSerializer = serializer(this) - ): List { - return if (serializer.descriptor.kind != SerialKind.ENUM) { - emptyList() - } else { - (0 until serializer.descriptor.elementsCount).map { index -> - val name = - serializer.descriptor - .getElementName(index) - .removePrefix(serializer.descriptor.serialName) - val description = - (serializer.descriptor.getElementAnnotations(index).first { it is Description } - as Description) - .value - Classification(name, description) + private suspend fun runWithEnumSingleTokenSerializer( + serializer: Tool.Enumeration, + prompt: Prompt + ): A { + val encoding = prompt.model.modelType(forFunctions = false).encoding + val cases = serializer.cases + val logitBias = + cases + .flatMap { + val result = encoding.encode(it.function.name) + if (result.size > 1) { + error("Cannot encode enum case $it into one token") + } + result } - } + .associate { "$it" to 100 } + val result = + config.api.createChatCompletion( + CreateChatCompletionRequest( + messages = prompt.messages, + model = prompt.model, + logitBias = logitBias, + maxTokens = 1, + temperature = 0.0 + ) + ) + val choice = result.choices[0].message.content + val enumSerializer = serializer.enumSerializer + return if (choice != null) { + enumSerializer(choice) + } else { + error("Cannot decode enum case from $choice") } } companion object { - - fun chat( - target: KType, - model: CreateChatCompletionRequestModel, - api: Chat, - conversation: Conversation, - enumSerializer: ((case: String) -> A)?, - caseSerializers: List>, - serializer: () -> KSerializer, - ): DefaultAI = - DefaultAI( - target = target, - model = model, - api = api, - serializer = serializer, - conversation = conversation, - enumSerializer = enumSerializer, - caseSerializers = caseSerializers - ) - - fun images( - config: Config = Config(), - ): Images = OpenAI(config).images - - @PublishedApi - internal suspend inline fun invokeEnum( - prompt: Prompt, - target: KType = typeOf(), - config: Config = Config(), - api: Chat = OpenAI(config).chat, - conversation: Conversation = Conversation() - ): A = - chat( - target = target, - model = prompt.model, - api = api, - conversation = conversation, - enumSerializer = { @Suppress("UPPER_BOUND_VIOLATED") enumValueOf(it) }, - caseSerializers = emptyList() - ) { - serializer() - } - .invoke(prompt) - - /** - * Classify a prompt using a given enum. - * - * @param input The input to the model. - * @param output The output to the model. - * @param context The context to the model. - * @param model The model to use. - * @param target The target type to return. - * @param api The chat API to use. - * @param conversation The conversation to use. - * @return The classified enum. - * @throws IllegalArgumentException If no enum values are found. - */ @AiDsl - @Throws(IllegalArgumentException::class, CancellationException::class) suspend inline fun classify( input: String, output: String, context: String, - model: CreateChatCompletionRequestModel = CreateChatCompletionRequestModel.gpt_4o, - target: KType = typeOf(), - config: Config = Config(), - api: Chat = OpenAI(config).chat, - conversation: Conversation = Conversation() - ): E where E : PromptClassifier, E : Enum { - val value = enumValues().firstOrNull() ?: error("No enum values found") - return invoke( + config: AIConfig = AIConfig(), + ): E where E : Enum, E : PromptClassifier { + val value = enumValues().firstOrNull() ?: error("No values to classify") + return AI( prompt = value.template(input, output, context), - model = model, - target = target, config = config, - api = api, - conversation = conversation ) } @AiDsl - @Throws(IllegalArgumentException::class, CancellationException::class) suspend inline fun multipleClassify( input: String, - model: CreateChatCompletionRequestModel = CreateChatCompletionRequestModel.gpt_4o, - config: Config = Config(), - api: Chat = OpenAI(config).chat, - conversation: Conversation = Conversation() - ): List where E : PromptMultipleClassifier, E : Enum { + config: AIConfig = AIConfig(), + ): List where E : Enum, E : PromptMultipleClassifier { val values = enumValues() - val value = values.firstOrNull() ?: error("No enum values found") + val value = values.firstOrNull() ?: error("No values to classify") val selected: SelectedItems = - invoke( + AI( prompt = value.template(input), - model = model, - config = config, - api = api, - conversation = conversation + serializer = Tool.fromKotlin(), + config = config ) return selected.selectedItems.mapNotNull { values.elementAtOrNull(it) } } - - @AiDsl - suspend inline operator fun invoke( - prompt: String, - target: KType = typeOf(), - model: CreateChatCompletionRequestModel = CreateChatCompletionRequestModel.gpt_3_5_turbo_0125, - config: Config = Config(), - api: Chat = OpenAI(config).chat, - conversation: Conversation = Conversation() - ): A = chat(Prompt(model, prompt), target, config, api, conversation) - - @AiDsl - suspend inline operator fun invoke( - prompt: Prompt, - target: KType = typeOf(), - config: Config = Config(), - api: Chat = OpenAI(config).chat, - conversation: Conversation = Conversation() - ): A = chat(prompt, target, config, api, conversation) - - @OptIn(InternalSerializationApi::class, ExperimentalSerializationApi::class) - @AiDsl - suspend inline fun chat( - prompt: Prompt, - target: KType = typeOf(), - config: Config = Config(), - api: Chat = OpenAI(config).chat, - conversation: Conversation = Conversation() - ): A { - val kind = - (target.classifier as? KClass<*>)?.serializer()?.descriptor?.kind - ?: error("Cannot find SerialKind for $target") - return when (kind) { - SerialKind.ENUM -> invokeEnum(prompt, target, config, api, conversation) - else -> { - chat( - target = target, - model = prompt.model, - api = api, - conversation = conversation, - enumSerializer = null, - caseSerializers = emptyList() - ) { - serializer() - } - .invoke(prompt) - } - } - } } } + +@AiDsl +suspend inline fun AI( + prompt: String, + serializer: Tool = Tool.fromKotlin(), + config: AIConfig = AIConfig() +): A = AI(Prompt(config.model, prompt), serializer, config) + +@AiDsl +suspend inline fun AI( + prompt: Prompt, + serializer: Tool = Tool.fromKotlin(), + config: AIConfig = AIConfig(), +): A = AI(config, serializer).invoke(prompt) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/AIConfig.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/AIConfig.kt new file mode 100644 index 000000000..a9d0f945f --- /dev/null +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/AIConfig.kt @@ -0,0 +1,15 @@ +package com.xebia.functional.xef + +import com.xebia.functional.openai.generated.api.Chat +import com.xebia.functional.openai.generated.api.OpenAI +import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel +import com.xebia.functional.xef.conversation.Conversation + +data class AIConfig( + val tools: List> = emptyList(), + val model: CreateChatCompletionRequestModel = CreateChatCompletionRequestModel.gpt_4o, + val config: Config = Config(), + val openAI: OpenAI = OpenAI(config, logRequests = false), + val api: Chat = openAI.chat, + val conversation: Conversation = Conversation() +) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/AIEvent.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/AIEvent.kt new file mode 100644 index 000000000..17dd83333 --- /dev/null +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/AIEvent.kt @@ -0,0 +1,36 @@ +package com.xebia.functional.xef + +sealed class AIEvent { + data object Start : AIEvent() + + data class Result(val value: A) : AIEvent() + + data class ToolExecutionRequest(val tool: Tool<*>, val input: Any?) : AIEvent() + + data class ToolExecutionResponse(val tool: Tool<*>, val output: Any?) : AIEvent() + + data class Stop(val usage: Usage) : AIEvent() { + data class Usage( + val llmCalls: Int, + val toolCalls: Int, + val inputTokens: Int, + val outputTokens: Int, + val totalTokens: Int, + ) + } + + fun debugPrint(): Unit = + when (this) { + // emoji for start is: 🚀 + Start -> println("🚀 Starting...") + is Result -> println("🎉 $value") + is ToolExecutionRequest -> + println("🔧 Executing tool: ${tool.function.name} with input: $input") + is ToolExecutionResponse -> + println("🔨 Tool response: ${tool.function.name} resulted in: $output") + is Stop -> { + println("🛑 Stopping...") + println("📊 Usage: $usage") + } + } +} diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/Classification.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/Classification.kt new file mode 100644 index 000000000..9b21e3f65 --- /dev/null +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/Classification.kt @@ -0,0 +1,6 @@ +package com.xebia.functional.xef + +data class Classification( + val name: String, + val description: String, +) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/Config.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/Config.kt index 4645fbd4f..2f1cb2932 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/Config.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/Config.kt @@ -23,13 +23,14 @@ data class Config( prettyPrint = false isLenient = true explicitNulls = false - classDiscriminator = "_type_" + classDiscriminator = TYPE_DISCRIMINATOR }, val streamingPrefix: String = "data:", val streamingDelimiter: String = "data: [DONE]" ) { companion object { val DEFAULT = Config() + const val TYPE_DISCRIMINATOR = "_type_" } } diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/DefaultAI.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/DefaultAI.kt deleted file mode 100644 index 4d3b1b9cd..000000000 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/DefaultAI.kt +++ /dev/null @@ -1,118 +0,0 @@ -package com.xebia.functional.xef - -import com.xebia.functional.openai.generated.api.Chat -import com.xebia.functional.openai.generated.model.CreateChatCompletionRequest -import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel -import com.xebia.functional.xef.conversation.Conversation -import com.xebia.functional.xef.llm.StreamedFunction -import com.xebia.functional.xef.llm.models.modelType -import com.xebia.functional.xef.llm.prompt -import com.xebia.functional.xef.llm.promptStreaming -import com.xebia.functional.xef.prompt.Prompt -import kotlin.reflect.KClass -import kotlin.reflect.KType -import kotlin.reflect.typeOf -import kotlinx.coroutines.flow.Flow -import kotlinx.serialization.* -import kotlinx.serialization.descriptors.* - -data class DefaultAI( - val target: KType, - val model: CreateChatCompletionRequestModel, - val api: Chat, - val serializer: () -> KSerializer, - val conversation: Conversation, - val enumSerializer: ((case: String) -> A)?, - val caseSerializers: List> -) : AI { - - @Serializable data class Value(val value: A) - - private suspend fun runWithSerializer(prompt: Prompt, serializer: KSerializer): B = - api.prompt(prompt, conversation, serializer) - - private fun runStreamingWithStringSerializer(prompt: Prompt): Flow = - api.promptStreaming(prompt, conversation) - - private fun runStreamingWithFunctionSerializer( - prompt: Prompt, - serializer: KSerializer - ): Flow> = api.promptStreaming(prompt, conversation, serializer) - - private suspend fun runWithDescriptors( - prompt: Prompt, - serializer: KSerializer, - descriptors: List - ): B = api.prompt(prompt, conversation, serializer, descriptors) - - @OptIn(ExperimentalSerializationApi::class, InternalSerializationApi::class) - suspend operator fun invoke(prompt: Prompt): A { - val serializer = serializer() - return when (serializer.descriptor.kind) { - SerialKind.ENUM -> { - runWithEnumSingleTokenSerializer(serializer, prompt) - } - // else -> runWithSerializer(prompt, serializer) - PolymorphicKind.OPEN -> - when { - target == typeOf>() -> { - runStreamingWithStringSerializer(prompt) as A - } - (target.classifier == Flow::class && - target.arguments.firstOrNull()?.type?.classifier == StreamedFunction::class) -> { - val functionClass = - target.arguments.first().type?.arguments?.firstOrNull()?.type?.classifier - as? KClass<*> - val functionSerializer = - functionClass?.serializer() ?: error("Cannot find serializer for $functionClass") - runStreamingWithFunctionSerializer(prompt, functionSerializer) as A - } - else -> { - runWithSerializer(prompt, Value.serializer(serializer)) as A - } - } - PolymorphicKind.SEALED -> { - val s = serializer as SealedClassSerializer - val cases = s.descriptor.elementDescriptors.toList()[1].elementDescriptors.toList() - runWithDescriptors(prompt, s, cases) - } - SerialKind.CONTEXTUAL -> runWithSerializer(prompt, serializer) - StructureKind.CLASS -> runWithSerializer(prompt, serializer) - else -> runWithSerializer(prompt, Value.serializer(serializer)).value - } - } - - @OptIn(ExperimentalSerializationApi::class) - suspend fun runWithEnumSingleTokenSerializer(serializer: KSerializer, prompt: Prompt): A { - val encoding = model.modelType(forFunctions = false).encoding - val cases = - serializer.descriptor.elementDescriptors.map { it.serialName.substringAfterLast(".") } - val logitBias = - cases - .flatMap { - val result = encoding.encode(it) - if (result.size > 1) { - error("Cannot encode enum case $it into one token") - } - result - } - .associate { "$it" to 100 } - val result = - api.createChatCompletion( - CreateChatCompletionRequest( - messages = prompt.messages, - model = model, - logitBias = logitBias, - maxTokens = 1, - temperature = 0.0 - ) - ) - val choice = result.choices[0].message.content - val enumSerializer = enumSerializer - return if (choice != null && enumSerializer != null) { - enumSerializer(choice) - } else { - error("Cannot decode enum case from $choice") - } - } -} diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/PromptClassifier.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/PromptClassifier.kt new file mode 100644 index 000000000..0fcaee762 --- /dev/null +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/PromptClassifier.kt @@ -0,0 +1,5 @@ +package com.xebia.functional.xef + +interface PromptClassifier { + fun template(input: String, output: String, context: String): String +} diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/PromptMultipleClassifier.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/PromptMultipleClassifier.kt new file mode 100644 index 000000000..557b6f589 --- /dev/null +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/PromptMultipleClassifier.kt @@ -0,0 +1,51 @@ +package com.xebia.functional.xef + +import com.xebia.functional.xef.conversation.Description +import kotlin.reflect.KType +import kotlinx.serialization.ExperimentalSerializationApi +import kotlinx.serialization.KSerializer +import kotlinx.serialization.descriptors.SerialKind +import kotlinx.serialization.serializer + +interface PromptMultipleClassifier { + fun getItems(): List + + fun template(input: String): String { + val items = getItems() + + return """ + |Based on the , identify whether the user is asking about one or more of the following items + | + |${ + items.joinToString("\n") { item -> "<${item.name}>${item.description}" } + } + | + | + |${ + items.mapIndexed { index, item -> "\t${item.name}" } + .joinToString("\n") + } + | + | + |$input + | + """ + } + + @OptIn(ExperimentalSerializationApi::class) + fun KType.enumValuesName(serializer: KSerializer = serializer(this)): List { + return if (serializer.descriptor.kind != SerialKind.ENUM) { + emptyList() + } else { + (0 until serializer.descriptor.elementsCount).map { index -> + val name = + serializer.descriptor.getElementName(index).removePrefix(serializer.descriptor.serialName) + val description = + (serializer.descriptor.getElementAnnotations(index).first { it is Description } + as Description) + .value + Classification(name, description) + } + } + } +} diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/SelectedItems.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/SelectedItems.kt new file mode 100644 index 000000000..caa4556a6 --- /dev/null +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/SelectedItems.kt @@ -0,0 +1,10 @@ +package com.xebia.functional.xef + +import com.xebia.functional.xef.conversation.Description +import kotlinx.serialization.Serializable + +@Serializable +@Description("The selected items indexes") +data class SelectedItems( + @Description("The selected items indexes") val selectedItems: List, +) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/Tool.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/Tool.kt new file mode 100644 index 000000000..a0b20a62e --- /dev/null +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/Tool.kt @@ -0,0 +1,359 @@ +package com.xebia.functional.xef + +import com.xebia.functional.openai.generated.model.FunctionObject +import com.xebia.functional.xef.conversation.Description +import com.xebia.functional.xef.llm.FunctionCall +import com.xebia.functional.xef.llm.StreamedFunction +import com.xebia.functional.xef.llm.chatFunction +import kotlin.jvm.JvmName +import kotlin.reflect.KClass +import kotlin.reflect.KFunction1 +import kotlin.reflect.KSuspendFunction1 +import kotlin.reflect.KType +import kotlin.reflect.typeOf +import kotlinx.coroutines.flow.Flow +import kotlinx.serialization.* +import kotlinx.serialization.builtins.ListSerializer +import kotlinx.serialization.builtins.SetSerializer +import kotlinx.serialization.descriptors.* +import kotlinx.serialization.json.* + +sealed class Tool( + open val function: FunctionObject, + open val invoke: suspend (FunctionCall) -> A +) { + + data class Enumeration( + override val function: FunctionObject, + override val invoke: suspend (FunctionCall) -> E, + val cases: List>, + val enumSerializer: (String) -> E + ) : Tool(function = function, invoke = invoke) + + class FlowOfStrings : + Tool(function = FunctionObject("", ""), invoke = { error("Not invoked") }) + + class FlowOfStreamedFunctions( + override val function: FunctionObject, + override val invoke: suspend (FunctionCall) -> A + ) : Tool(function = function, invoke = invoke) + + class FlowOfAIEvents( + val serializer: Tool, + override val function: FunctionObject = serializer.function, + override val invoke: suspend (FunctionCall) -> A = { serializer.invoke(it) } + ) : Tool(function = function, invoke = invoke) + + class FlowOfAIEventsSealed( + val sealedSerializer: Sealed, + override val function: FunctionObject = sealedSerializer.function, + override val invoke: suspend (FunctionCall) -> A = { sealedSerializer.invoke(it) } + ) : Tool(function = function, invoke = invoke) + + data class Sealed( + override val function: FunctionObject, + override val invoke: suspend (FunctionCall) -> A, + val cases: List, + ) : Tool(function = function, invoke = invoke) { + data class Case(val className: String, val tool: Tool<*>) + } + + data class Contextual( + override val function: FunctionObject, + override val invoke: suspend (FunctionCall) -> A, + ) : Tool(function = function, invoke = invoke) + + data class Callable( + override val function: FunctionObject, + override val invoke: suspend (FunctionCall) -> A, + ) : Tool(function = function, invoke = invoke) + + data class Primitive( + override val function: FunctionObject, + override val invoke: suspend (FunctionCall) -> A + ) : Tool(function = function, invoke = invoke) + + companion object { + + inline fun fromKotlin(): Tool = fromKotlin(typeOf()) + + @OptIn(InternalSerializationApi::class, ExperimentalSerializationApi::class) + fun fromKotlin(type: KType): Tool { + val targetClass = type.getTargetClass() + val descriptor = targetClass.serializer().descriptor + val kind = descriptor.kind + return when { + kind == PolymorphicKind.SEALED -> sealedTool(targetClass, descriptor) + kind == SerialKind.ENUM -> enumerationTool(targetClass, descriptor) + type == typeOf>() -> flowOfStringsTool() + isFlowOfStreamedFunctions(targetClass, type) -> flowOfStreamedFunctionsTool(type) + isFlowOfAiEventsSealed(targetClass, type) -> flowOfAIEventsSealedTool(type) + isFlowOfAIEvents(targetClass, type) -> flowOfAIEventsTool(type) + requiresWrapping(type) -> wrappedValueTool(type, targetClass) + else -> defaultClassTool(targetClass) + } + } + + @OptIn(ExperimentalSerializationApi::class, InternalSerializationApi::class) + private fun isFlowOfAiEventsSealed( + targetClass: KClass, + type: KType, + ): Boolean { + val innerTargetClass = + type.arguments.firstOrNull()?.type?.arguments?.firstOrNull()?.type?.classifier as? KClass<*> + val kind = innerTargetClass?.serializer()?.descriptor?.kind + return isFlowOfAIEvents(targetClass, type) && kind == PolymorphicKind.SEALED + } + + private fun isFlowOfAIEvents(targetClass: KClass<*>, type: KType): Boolean = + targetClass == Flow::class && type.arguments[0].type?.classifier == AIEvent::class + + private fun isFlowOfStreamedFunctions(targetClass: KClass<*>, type: KType): Boolean = + targetClass == Flow::class && type.arguments[0].type?.classifier == StreamedFunction::class + + private fun wrappedValueTool(type: KType, targetClass: KClass): Tool { + val collectionTypeArg = type.arguments.firstOrNull()?.type?.classifier as? KClass<*> + return if (collectionTypeArg != null) { + collectionTool(collectionTypeArg, targetClass) + } else { + primitiveTool(targetClass) + } + } + + private fun KType.getTargetClass(): KClass = + (classifier as? KClass<*> ?: error("Expected KClass got $classifier")) as KClass + + @OptIn(InternalSerializationApi::class) + private fun defaultClassTool(targetClass: KClass): Tool { + val typeSerializer = targetClass.serializer() + val functionObject = chatFunction(typeSerializer.descriptor) + return Callable(functionObject) { + Config.DEFAULT.json.decodeFromString(typeSerializer, it.arguments) + } + } + + @OptIn(InternalSerializationApi::class) + private fun primitiveTool(targetClass: KClass): Tool { + val functionSerializer = Value.serializer(targetClass.serializer()) + val functionObject = chatFunction(functionSerializer.descriptor) + return Primitive(functionObject) { + Config.DEFAULT.json.decodeFromString(functionSerializer, it.arguments).value + } + } + + @OptIn(InternalSerializationApi::class) + private fun collectionTool( + collectionTypeArg: KClass<*>, + targetClass: KClass<*> + ): Callable { + val innerSerializer = collectionTypeArg.serializer() + val functionSerializer = + when (targetClass) { + List::class -> { + Value.serializer(ListSerializer(innerSerializer)) + } + Set::class -> { + Value.serializer(SetSerializer(innerSerializer)) + } + else -> { + error("Unsupported collection type: $targetClass, expected List or Set") + } + } + val functionObject = chatFunction(functionSerializer.descriptor) + return Callable(functionObject) { + Config.DEFAULT.json.decodeFromString(functionSerializer, it.arguments).value as A + } + } + + @OptIn(InternalSerializationApi::class) + private fun flowOfAIEventsSealedTool(type: KType): FlowOfAIEventsSealed { + val targetType = flowInnerContainerTypeArg(type) + val targetClass = (targetType?.classifier as? KClass<*>) + val typeSerializer = targetClass?.serializer() ?: error("No serializer found for $targetType") + val tool = sealedTool(targetClass, typeSerializer.descriptor) + return FlowOfAIEventsSealed(tool) + } + + private fun flowOfAIEventsTool(type: KType): FlowOfAIEvents { + val targetType = flowInnerContainerTypeArg(type) + val functionSerializer = + targetType?.let { fromKotlin(it) } ?: error("No serializer found for $type") + return FlowOfAIEvents(functionSerializer) + } + + @OptIn(InternalSerializationApi::class) + private fun flowOfStreamedFunctionsTool( + type: KType, + ): FlowOfStreamedFunctions { + val targetType = flowInnerContainerTypeArg(type) + val typeSerializer = + (targetType?.classifier as? KClass<*>)?.serializer() + ?: error("No serializer found for $targetType") + val functionSerializer = fromKotlin(targetType) + val functionObject = chatFunction(typeSerializer.descriptor) + return FlowOfStreamedFunctions(functionObject) { functionSerializer.invoke(it) } + } + + private fun flowInnerContainerTypeArg(type: KType): KType? = + type.arguments[0].type?.arguments?.get(0)?.type + + private fun flowOfStringsTool(): FlowOfStrings = FlowOfStrings() + + @OptIn(InternalSerializationApi::class, ExperimentalSerializationApi::class) + private fun enumerationTool( + targetClass: KClass<*>, + descriptor: SerialDescriptor + ): Enumeration { + val enumSerializer = { value: String -> + Config.DEFAULT.json.decodeFromString(targetClass.serializer(), value) as A + } + val functionObject = chatFunction(descriptor) + val cases = + descriptor.elementDescriptors.map { + val enumValue = it.serialName + val enumFunction = chatFunction(it) + Primitive(enumFunction) { enumSerializer(enumValue) } + } + return Enumeration(functionObject, { error("should not get called") }, cases, enumSerializer) + } + + @OptIn(InternalSerializationApi::class, ExperimentalSerializationApi::class) + private fun sealedTool(targetClass: KClass<*>, descriptor: SerialDescriptor): Sealed { + val sealedClassSerializer = + targetClass.serializer() as? SealedClassSerializer + ?: error("expected SealedClassSerializer got ${targetClass.serializer()}") + val casesDescriptors = + sealedClassSerializer.descriptor.elementDescriptors.toList()[1].elementDescriptors.toList() + val functionObjectMap = casesDescriptors.associateWith { chatFunction(it) } + val cases = + casesDescriptors.map { + val caseFunction = + functionObjectMap[it] ?: error("No function found for ${it.serialName}") + Sealed.Case( + tool = + Callable(caseFunction) { + callSealedCase(it, functionObjectMap, sealedClassSerializer) + }, + className = it.serialName + ) + } + return Sealed( + chatFunction(descriptor), + { callSealedCase(it, functionObjectMap, sealedClassSerializer) }, + cases + ) + } + + @OptIn(InternalSerializationApi::class) + private fun callSealedCase( + it: FunctionCall, + functionObjectMap: Map, + sealedClassSerializer: SealedClassSerializer + ): A { + val newJson = descriptorChoice(it, functionObjectMap) + return Config.DEFAULT.json.decodeFromString( + sealedClassSerializer, + Json.encodeToString(newJson) + ) as A + } + + private fun descriptorChoice( + call: FunctionCall, + descriptors: Map + ): JsonObject { + // adds a `type` field with the call.functionName serial name equivalent to the call arguments + val jsonWithDiscriminator = + Config.DEFAULT.json.decodeFromString(JsonElement.serializer(), call.arguments) + val descriptor = + descriptors.values.firstOrNull { it.name.endsWith(call.functionName) } + ?: error("No descriptor found for ${call.functionName}") + val targetDescriptor = + descriptors.keys.firstOrNull { it.serialName.endsWith(call.functionName) } + ?: error("No descriptor found for ${call.functionName}") + val newJson = + JsonObject( + jsonWithDiscriminator.jsonObject + + (Config.TYPE_DISCRIMINATOR to JsonPrimitive(targetDescriptor.serialName)) + ) + return newJson + } + + private fun requiresWrapping(type: KType): Boolean { + val targetClass = + type.classifier as? KClass<*> ?: error("expected KClass got ${type.classifier}") + return when (targetClass) { + List::class, + Int::class, + String::class, + Boolean::class, + Double::class, + Float::class, + Char::class, + Byte::class -> true + else -> false + } + } + + @JvmName("fromKotlinFunction1") + inline operator fun B> invoke( + name: String, + description: Description, + fn: F, + ): Tool { + val tool = fromKotlin() + return Callable( + function = tool.function.copy(name = name, description = description.value), + invoke = { + val input = tool.invoke(it) + fn(input) + } + ) + } + + @JvmName("fromKotlinSuspendFunction1") + inline fun suspend( + name: String, + description: Description, + noinline fn: suspend (A) -> B, + ): Tool { + val tool = fromKotlin() + return Callable( + function = tool.function.copy(name = name, description = description.value), + invoke = { + val input = tool.invoke(it) + fn(input) + } + ) + } + + @JvmName("fromKotlinKFunction1") + inline operator fun > invoke( + fn: F, + description: Description = Description(fn.name) + ): Tool { + val tool = fromKotlin() + return Callable( + function = tool.function.copy(name = fn.name, description = description.value), + invoke = { + val input = tool.invoke(it) + fn(input) + } + ) + } + + @JvmName("fromKotlinKSuspendFunction1") + inline operator fun invoke( + fn: KSuspendFunction1, + description: Description = Description(fn.name) + ): Tool { + val tool = fromKotlin() + return Callable( + function = tool.function.copy(name = fn.name, description = description.value), + invoke = { + val input = tool.invoke(it) + fn(input) + } + ) + } + } +} diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/Value.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/Value.kt new file mode 100644 index 000000000..103ff6e96 --- /dev/null +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/Value.kt @@ -0,0 +1,5 @@ +package com.xebia.functional.xef + +import kotlinx.serialization.Serializable + +@Serializable data class Value(val value: A) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/conversation/Description.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/conversation/Description.kt index 3cfe5d3fc..ba541f137 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/conversation/Description.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/conversation/Description.kt @@ -9,5 +9,10 @@ import kotlinx.serialization.SerialInfo @OptIn(ExperimentalSerializationApi::class) @SerialInfo @Retention(AnnotationRetention.RUNTIME) -@Target(AnnotationTarget.CLASS, AnnotationTarget.PROPERTY, AnnotationTarget.FIELD) +@Target( + AnnotationTarget.CLASS, + AnnotationTarget.PROPERTY, + AnnotationTarget.FIELD, + AnnotationTarget.FUNCTION +) annotation class Description(val value: String) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/Chat.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/Chat.kt index 60ab52f26..f8a39155f 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/Chat.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/Chat.kt @@ -5,6 +5,7 @@ import com.xebia.functional.openai.generated.model.CreateChatCompletionRequest import com.xebia.functional.openai.generated.model.CreateChatCompletionResponse import com.xebia.functional.openai.generated.model.CreateChatCompletionResponseChoicesInner import com.xebia.functional.xef.AIError +import com.xebia.functional.xef.Tool import com.xebia.functional.xef.conversation.AiDsl import com.xebia.functional.xef.conversation.Conversation import com.xebia.functional.xef.llm.models.MessageWithUsage @@ -16,41 +17,44 @@ import com.xebia.functional.xef.store.Memory import kotlinx.coroutines.flow.* @AiDsl -fun Chat.promptStreaming(prompt: Prompt, scope: Conversation = Conversation()): Flow = - flow { - val messagesForRequestPrompt = PromptCalculator.adaptPromptToConversationAndModel(prompt, scope) +fun Chat.promptStreaming( + prompt: Prompt, + scope: Conversation = Conversation(), + tools: List> +): Flow = flow { + val messagesForRequestPrompt = PromptCalculator.adaptPromptToConversationAndModel(prompt, scope) - val request = - CreateChatCompletionRequest( - stream = true, - user = prompt.configuration.user, - messages = messagesForRequestPrompt.messages, - n = prompt.configuration.numberOfPredictions, - temperature = prompt.configuration.temperature, - maxTokens = prompt.configuration.maxTokens, - model = prompt.model, - seed = prompt.configuration.seed, - ) + val request = + CreateChatCompletionRequest( + stream = true, + user = prompt.configuration.user, + messages = messagesForRequestPrompt.messages, + n = prompt.configuration.numberOfPredictions, + temperature = prompt.configuration.temperature, + maxTokens = prompt.configuration.maxTokens, + model = prompt.model, + seed = prompt.configuration.seed, + ) - val buffer = StringBuilder() + val buffer = StringBuilder() - this@promptStreaming.createChatCompletionStream(request) - .mapNotNull { - val content = it.choices.firstOrNull()?.delta?.content - if (content != null) { - buffer.append(content) - } - content - } - .onEach { emit(it) } - .onCompletion { - val aiResponseMessage = PromptBuilder.assistant(buffer.toString()) - val newMessages = prompt.messages + listOf(aiResponseMessage) - newMessages.addToMemory(scope, prompt.configuration.messagePolicy.addMessagesToConversation) - buffer.clear() + this@promptStreaming.createChatCompletionStream(request) + .mapNotNull { + val content = it.choices.firstOrNull()?.delta?.content + if (content != null) { + buffer.append(content) } - .collect() - } + content + } + .onEach { emit(it) } + .onCompletion { + val aiResponseMessage = PromptBuilder.assistant(buffer.toString()) + val newMessages = prompt.messages + listOf(aiResponseMessage) + newMessages.addToMemory(scope, prompt.configuration.messagePolicy.addMessagesToConversation) + buffer.clear() + } + .collect() +} @AiDsl suspend fun Chat.promptMessage(prompt: Prompt, scope: Conversation = Conversation()): String = diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/ChatWithFunctions.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/ChatWithFunctions.kt index e2d081397..269b23da3 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/ChatWithFunctions.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/ChatWithFunctions.kt @@ -2,19 +2,23 @@ package com.xebia.functional.xef.llm import arrow.core.nonFatalOrThrow import arrow.core.raise.catch +import arrow.fx.coroutines.parMapNotNull import com.xebia.functional.openai.generated.api.Chat import com.xebia.functional.openai.generated.model.* import com.xebia.functional.xef.AIError +import com.xebia.functional.xef.AIEvent +import com.xebia.functional.xef.Tool import com.xebia.functional.xef.conversation.AiDsl import com.xebia.functional.xef.conversation.Conversation import com.xebia.functional.xef.llm.models.functions.buildJsonSchema import com.xebia.functional.xef.prompt.Prompt +import com.xebia.functional.xef.prompt.PromptBuilder.Companion.tool import io.github.oshai.kotlinlogging.KotlinLogging -import kotlinx.coroutines.flow.* +import kotlinx.coroutines.channels.ProducerScope +import kotlinx.coroutines.flow.Flow +import kotlinx.coroutines.flow.flow import kotlinx.serialization.ExperimentalSerializationApi -import kotlinx.serialization.KSerializer -import kotlinx.serialization.descriptors.* -import kotlinx.serialization.encodeToString +import kotlinx.serialization.descriptors.SerialDescriptor import kotlinx.serialization.json.* @OptIn(ExperimentalSerializationApi::class) @@ -29,53 +33,193 @@ fun chatFunctions(descriptors: List): List = fun chatFunction(fnName: String, schema: JsonObject): FunctionObject = FunctionObject(fnName, "Generated function for $fnName", schema) +data class UsageTracker( + var llmCalls: Int = 0, + var toolInvocations: Int = 0, + var totalErrors: Int = 0, + var inputTokens: Int = 0, + var outputTokens: Int = 0, + var totalTokens: Int = 0, +) + @AiDsl suspend fun Chat.prompt( prompt: Prompt, scope: Conversation, - serializer: KSerializer, + serializer: Tool, + tools: List>, + collector: ProducerScope>? = null, + usageTracker: UsageTracker = UsageTracker() ): A = - prompt(prompt, scope, chatFunctions(listOf(serializer.descriptor))) { call -> - Json.decodeFromString(serializer, call.arguments) + when (serializer) { + is Tool.Sealed -> promptSealed(prompt, scope, serializer, tools, collector, usageTracker) + is Tool.FlowOfAIEventsSealed -> { + promptSealed(prompt, scope, serializer.sealedSerializer, tools, collector, usageTracker) + } + else -> { + promptWithFunctions( + prompt = prompt, + scope = scope, + serializer = serializer, + tools = listOf(serializer) + tools, + collector = collector, + usageTracker = usageTracker, + acceptedSerializerNames = listOf(serializer.function.name) + ) + } + }.also { + collector?.send( + AIEvent.Stop( + AIEvent.Stop.Usage( + llmCalls = usageTracker.llmCalls, + toolCalls = usageTracker.toolInvocations, + inputTokens = usageTracker.inputTokens, + outputTokens = usageTracker.outputTokens, + totalTokens = usageTracker.totalTokens + ) + ) + ) } -@OptIn(ExperimentalSerializationApi::class) +private suspend fun Chat.promptWithFunctions( + prompt: Prompt, + scope: Conversation, + serializer: Tool, + tools: List>, + collector: ProducerScope>?, + usageTracker: UsageTracker, + acceptedSerializerNames: List, + invokeSerializer: suspend (FunctionCall) -> A = { serializer.invoke(it) } +): A { + usageTracker.llmCalls++ + validateMaxToolCallsPerRound(prompt, usageTracker) + val result = + promptWithResponse(prompt, scope, tools.map { it.function }) { response -> + val responseUsage = response.usage + usageTracker.inputTokens += responseUsage?.promptTokens ?: 0 + usageTracker.outputTokens += responseUsage?.completionTokens ?: 0 + usageTracker.totalTokens += responseUsage?.totalTokens ?: 0 + val calls = functionCalls(response) + val serializerCall = calls.firstOrNull { it.functionName in acceptedSerializerNames } + if (serializerCall != null) { + usageTracker.toolInvocations++ + val result = invokeSerializer(serializerCall) + collector?.send(AIEvent.Result(result)) + result + } else { + val callRequestedMessages = listOf(assistantRequestedCallMessage(calls)) + val resultMessages = callResultMessages(prompt, calls, tools, collector) + repeat(resultMessages.size) { usageTracker.toolInvocations++ } + val promptWithToolOutputs = + prompt.copy(messages = prompt.messages + callRequestedMessages + resultMessages) + // recurse until the assistant decides to call the serializer + promptWithFunctions( + promptWithToolOutputs, + scope, + serializer, + tools, + collector, + usageTracker, + acceptedSerializerNames, + ) + } + } + return result +} + +private fun validateMaxToolCallsPerRound(prompt: Prompt, usageTracker: UsageTracker) { + if (usageTracker.toolInvocations >= prompt.configuration.maxToolCallsPerRound) { + error( + "Too many tool calls in this round: ${usageTracker.toolInvocations}, max allowed: ${prompt.configuration.maxToolCallsPerRound}" + ) + } +} + +private suspend fun callResultMessages( + prompt: Prompt, + calls: List, + functions: List>, + collector: ProducerScope>? +): List = + calls.parMapNotNull(concurrency = prompt.configuration.concurrentToolCallsPerRound) { call -> + val tool = functions.firstOrNull { it.function.name == call.functionName } + tool?.let { collector?.send(AIEvent.ToolExecutionRequest(it, call.arguments)) } + val invokeTool = tool?.invoke + val result = invokeTool?.invoke(call).toString() + tool?.let { collector?.send(AIEvent.ToolExecutionResponse(it, result)) } + tool(call.callId, result) + } + +private fun assistantRequestedCallMessage( + calls: List +): ChatCompletionRequestMessage.CaseChatCompletionRequestAssistantMessage = + ChatCompletionRequestMessage.CaseChatCompletionRequestAssistantMessage( + ChatCompletionRequestAssistantMessage( + role = ChatCompletionRequestAssistantMessage.Role.assistant, + toolCalls = + calls.map { + ChatCompletionMessageToolCall( + id = it.callId, + function = + ChatCompletionMessageToolCallFunction( + name = it.functionName, + arguments = it.arguments + ), + type = ChatCompletionMessageToolCall.Type.function + ) + } + ) + ) + @AiDsl -suspend fun Chat.prompt( +private suspend fun Chat.promptSealed( prompt: Prompt, scope: Conversation, - serializer: KSerializer, - descriptors: List, -): A = - prompt(prompt, scope, chatFunctions(descriptors)) { call -> - // adds a `type` field with the call.functionName serial name equivalent to the call arguments - val jsonWithDiscriminator = Json.decodeFromString(JsonElement.serializer(), call.arguments) - val descriptor = - descriptors.firstOrNull { it.serialName.endsWith(call.functionName) } - ?: error("No descriptor found for ${call.functionName}") - val newJson = - JsonObject( - jsonWithDiscriminator.jsonObject + ("type" to JsonPrimitive(descriptor.serialName)) - ) - Json.decodeFromString(serializer, Json.encodeToString(newJson)) + serializer: Tool.Sealed, + tools: List>, + collector: ProducerScope>? = null, + usageTracker: UsageTracker = UsageTracker() +): A { + val allTools = serializer.cases.map { it.tool } + tools + val acceptedSerializerNames = serializer.cases.map { it.tool.function.name } + return promptWithFunctions( + prompt, + scope, + serializer, + allTools, + collector, + usageTracker, + acceptedSerializerNames + ) { call -> + val case = + serializer.cases.firstOrNull { it.tool.function.name == call.functionName } + ?: error("No case found for call: $call") + case.tool.invoke(call) as A } +} + +private fun functionCalls(response: CreateChatCompletionResponse): List = + response.choices + .flatMap { it.message.toolCalls.orEmpty() } + .map { FunctionCall(it.id, it.function.name, it.function.arguments) } @AiDsl fun Chat.promptStreaming( prompt: Prompt, scope: Conversation, - serializer: KSerializer, + serializer: Tool, + tools: List> ): Flow> = - promptStreaming(prompt, scope, chatFunction(serializer.descriptor)) { json -> - Json.decodeFromString(serializer, json) + promptStreaming(prompt, scope, serializer.function) { json -> + serializer.invoke(FunctionCall("", "", json)) } @AiDsl -suspend fun Chat.prompt( +private suspend fun Chat.promptWithResponse( prompt: Prompt, scope: Conversation, functions: List, - serializer: (call: FunctionCall) -> A, + serializer: suspend (response: CreateChatCompletionResponse) -> A, ): A = scope.metric.promptSpan(prompt) { val promptWithFunctions = prompt.copy(functions = functions) @@ -85,21 +229,13 @@ suspend fun Chat.prompt( val request = createChatCompletionRequest(adaptedPrompt) tryDeserialize(serializer, promptWithFunctions.configuration.maxDeserializationAttempts) { val requestedMemories = prompt.messages.toMemory(scope) - createChatCompletion(request) - .addMetrics(scope) - .choices - .addChoiceWithFunctionsToMemory( - scope, - requestedMemories, - prompt.configuration.messagePolicy.addMessagesToConversation - ) - .mapNotNull { - val functionName = it.message.toolCalls?.firstOrNull()?.function?.name - val arguments = it.message.toolCalls?.firstOrNull()?.function?.arguments - if (functionName != null && arguments != null) { - FunctionCall(functionName, arguments) - } else null - } + val response = createChatCompletion(request).addMetrics(scope) + response.choices.addChoiceWithFunctionsToMemory( + scope, + requestedMemories, + prompt.configuration.messagePolicy.addMessagesToConversation + ) + response } } @@ -121,10 +257,15 @@ private fun chatCompletionToolChoiceOption(adaptedPrompt: Prompt): ChatCompletio ChatCompletionToolChoiceOption.CaseChatCompletionNamedToolChoice( ChatCompletionNamedToolChoice( type = ChatCompletionNamedToolChoice.Type.function, + // TODO review access to first function = ChatCompletionNamedToolChoiceFunction(adaptedPrompt.functions.first().name) ) ) - else ChatCompletionToolChoiceOption.CaseString("auto") + else { + if (adaptedPrompt.model is CreateChatCompletionRequestModel.Custom) + ChatCompletionToolChoiceOption.CaseString("auto") + else ChatCompletionToolChoiceOption.CaseString("required") + } private fun chatCompletionTools(adaptedPrompt: Prompt): List = adaptedPrompt.functions.map { @@ -136,7 +277,7 @@ fun Chat.promptStreaming( prompt: Prompt, scope: Conversation, function: FunctionObject, - serializer: (json: String) -> A, + serializer: suspend (json: String) -> A, ): Flow> = flow { val promptWithFunctions = prompt.copy(functions = listOf(function)) val adaptedPrompt = PromptCalculator.adaptPromptToConversationAndModel(promptWithFunctions, scope) @@ -179,19 +320,21 @@ private suspend fun retryUntilMaxDeserializationAttempts( } private suspend fun tryDeserialize( - serializer: (call: FunctionCall) -> A, + serializer: suspend (response: CreateChatCompletionResponse) -> A, maxDeserializationAttempts: Int, - agent: suspend () -> List + agent: suspend () -> CreateChatCompletionResponse ): A { val logger = KotlinLogging.logger {} for (currentAttempts in 1..maxDeserializationAttempts) { - val result = agent().firstOrNull() ?: throw AIError.NoResponse() + val result = agent() catch({ return@tryDeserialize serializer(result) }) { e: Throwable -> - logger.warn { "Failed to deserialize result: $result with exception ${e.message}" } + val message = + "Failed to deserialize result after $maxDeserializationAttempts attempts: ${e.message}, calls: $result" + logger.warn { message } if (currentAttempts == maxDeserializationAttempts) - throw AIError.JsonParsing(result.arguments, maxDeserializationAttempts, e.nonFatalOrThrow()) + throw AIError.JsonParsing(message, maxDeserializationAttempts, e.nonFatalOrThrow()) // TODO else log attempt ? } } diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/FunctionCall.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/FunctionCall.kt index 5eac5f161..f0c5e329a 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/FunctionCall.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/FunctionCall.kt @@ -1,3 +1,3 @@ package com.xebia.functional.xef.llm -data class FunctionCall(val functionName: String, val arguments: String) +data class FunctionCall(val callId: String, val functionName: String, val arguments: String) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/StreamedFunction.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/StreamedFunction.kt index cd14ebef4..6164b8a1d 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/StreamedFunction.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/StreamedFunction.kt @@ -43,7 +43,7 @@ sealed class StreamedFunction { prompt: Prompt, request: CreateChatCompletionRequest, scope: Conversation, - serializer: (json: String) -> A, + serializer: suspend (json: String) -> A, function: FunctionObject ) { val messages = mutableListOf() @@ -130,7 +130,7 @@ sealed class StreamedFunction { private suspend fun FlowCollector>.streamResult( functionCall: ChatCompletionMessageToolCallFunction, messages: MutableList, - serializer: (json: String) -> A + serializer: suspend (json: String) -> A ) { val arguments = functionCall.arguments messages.add(PromptBuilder.assistant("Function call: $functionCall")) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/Vision.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/Vision.kt index bf5b10e95..38d878838 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/Vision.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/Vision.kt @@ -4,6 +4,7 @@ import com.xebia.functional.openai.UploadFile import com.xebia.functional.openai.generated.api.Chat import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel import com.xebia.functional.openai.generated.model.Image +import com.xebia.functional.xef.Tool import com.xebia.functional.xef.conversation.Conversation import com.xebia.functional.xef.prompt.Prompt import com.xebia.functional.xef.prompt.PromptBuilder.Companion.image @@ -22,10 +23,16 @@ suspend inline fun Chat.visionStructured( conversation: Conversation = Conversation(), model: CreateChatCompletionRequestModel = CreateChatCompletionRequestModel.gpt_4_vision_preview, functionsModel: CreateChatCompletionRequestModel = - CreateChatCompletionRequestModel.gpt_3_5_turbo_0125 + CreateChatCompletionRequestModel.gpt_3_5_turbo_0125, + tools: List> = emptyList() ): A { val response = vision(prompt, url, model, conversation).toList().joinToString("") { it } - return prompt(Prompt(functionsModel) { +user(response) }, conversation, serializer()) + return prompt( + Prompt(model = functionsModel) { +user(response) }, + scope = conversation, + serializer = Tool.fromKotlin(), + tools = tools + ) } fun Chat.vision( @@ -34,7 +41,11 @@ fun Chat.vision( model: CreateChatCompletionRequestModel = CreateChatCompletionRequestModel.gpt_4_vision_preview, conversation: Conversation = Conversation() ): Flow = - promptStreaming(prompt = Prompt(model) { +image(url, prompt) }, scope = conversation) + promptStreaming( + prompt = Prompt(model) { +image(url, prompt) }, + scope = conversation, + tools = emptyList() + ) suspend fun Image.asInputProvider(): UploadFile { val url = url diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/PromptBuilder.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/PromptBuilder.kt index ee3588efd..3f90a791d 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/PromptBuilder.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/PromptBuilder.kt @@ -100,6 +100,15 @@ interface PromptBuilder { ) ) + fun tool(toolCallId: String, value: String): ChatCompletionRequestMessage = + ChatCompletionRequestMessage.CaseChatCompletionRequestToolMessage( + ChatCompletionRequestToolMessage( + role = ChatCompletionRequestToolMessage.Role.tool, + content = value, + toolCallId = toolCallId + ) + ) + fun system(value: String): ChatCompletionRequestMessage = ChatCompletionRequestMessage.CaseChatCompletionRequestSystemMessage( ChatCompletionRequestSystemMessage( diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/configuration/PromptConfiguration.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/configuration/PromptConfiguration.kt index 3a8f05e53..06d8b204c 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/configuration/PromptConfiguration.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/configuration/PromptConfiguration.kt @@ -11,6 +11,8 @@ data class PromptConfiguration @JvmOverloads constructor( var maxDeserializationAttempts: Int = 3, + var maxToolCallsPerRound: Int = 10000, + var concurrentToolCallsPerRound: Int = 5, var user: String = ChatCompletionRole.user.value, var temperature: Double = 0.4, var numberOfPredictions: Int = 1, diff --git a/core/src/commonTest/kotlin/com/xebia/functional/xef/conversation/ConversationSpec.kt b/core/src/commonTest/kotlin/com/xebia/functional/xef/conversation/ConversationSpec.kt index 2b6d85324..e659386df 100644 --- a/core/src/commonTest/kotlin/com/xebia/functional/xef/conversation/ConversationSpec.kt +++ b/core/src/commonTest/kotlin/com/xebia/functional/xef/conversation/ConversationSpec.kt @@ -1,9 +1,9 @@ package com.xebia.functional.xef.conversation import com.xebia.functional.openai.generated.model.* -import com.xebia.functional.xef.data.* +import com.xebia.functional.xef.data.TestChatApi +import com.xebia.functional.xef.data.TestEmbeddings import com.xebia.functional.xef.llm.models.modelType -import com.xebia.functional.xef.llm.prompt import com.xebia.functional.xef.llm.promptMessage import com.xebia.functional.xef.llm.promptMessages import com.xebia.functional.xef.llm.tokensFromMessages @@ -19,9 +19,6 @@ import com.xebia.functional.xef.store.LocalVectorStore import io.kotest.core.spec.style.StringSpec import io.kotest.matchers.comparables.shouldBeLessThan import io.kotest.matchers.shouldBe -import io.kotest.matchers.shouldNotBe -import kotlinx.serialization.encodeToString -import kotlinx.serialization.json.Json import kotlinx.uuid.UUID import kotlinx.uuid.generateUUID @@ -124,70 +121,6 @@ class ConversationSpec : messagesSizePlusMessageResponse shouldBe memories.size } - "functionCall shouldn't be null when the model support functions and the prompt contain a function" { - val question = "fake-question" - val answer = Answer("fake-answer") - - val message = mapOf(question to Json.encodeToString(answer)) - - val conversationId = ConversationId(UUID.generateUUID().toString()) - val scope = - Conversation( - LocalVectorStore(TestEmbeddings()), - LogsMetric(), - conversationId = conversationId - ) - - val chatApi = TestChatApi(message) - val model = CreateChatCompletionRequestModel.gpt_3_5_turbo_16k - - val response: Answer = - chatApi.prompt( - prompt = Prompt(model, question), - scope = scope, - serializer = Answer.serializer() - ) - - val lastRequest = chatApi.requests.last() - - response shouldBe answer - - lastRequest.toolChoice shouldNotBe null - } - - "the message of the request should be the JSON string of the question when the prompt contains serializable object" { - val question = Question("fake-question") - val questionJsonString = Json.encodeToString(question) - val answer = Answer("fake-answer") - val answerJsonString = Json.encodeToString(answer) - - val message = mapOf(questionJsonString to answerJsonString) - - val conversationId = ConversationId(UUID.generateUUID().toString()) - val scope = - Conversation( - LocalVectorStore(TestEmbeddings()), - LogsMetric(), - conversationId = conversationId - ) - - val chatApi = TestChatApi(message) - val model = CreateChatCompletionRequestModel.gpt_3_5_turbo_0613 - - val response: Answer = - chatApi.prompt( - prompt = Prompt(model) { +user(Json.encodeToString(Question.serializer(), question)) }, - scope = scope, - serializer = Answer.serializer() - ) - - val lastRequest = chatApi.requests.last() - - lastRequest.messages.last().contentAsString() shouldBe questionJsonString - - response shouldBe answer - } - "the scope's store should contains all the messages" { val conversationId = ConversationId(UUID.generateUUID().toString()) diff --git a/core/src/commonTest/kotlin/com/xebia/functional/xef/data/TestChatApi.kt b/core/src/commonTest/kotlin/com/xebia/functional/xef/data/TestChatApi.kt index 003214979..99d675727 100644 --- a/core/src/commonTest/kotlin/com/xebia/functional/xef/data/TestChatApi.kt +++ b/core/src/commonTest/kotlin/com/xebia/functional/xef/data/TestChatApi.kt @@ -37,7 +37,7 @@ class TestChatApi(private val responses: Map = emptyMap()) : Cha type = ChatCompletionMessageToolCall.Type.function, function = ChatCompletionMessageToolCallFunction( - "fake-function-name", + "Answer", """{ "bar": "fake-answer" }""" ) ) diff --git a/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/SuiteBuilder.kt b/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/SuiteBuilder.kt index ff85f9e95..832a9d114 100644 --- a/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/SuiteBuilder.kt +++ b/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/SuiteBuilder.kt @@ -2,6 +2,8 @@ package com.xebia.functional.xef.evaluator import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel import com.xebia.functional.xef.AI +import com.xebia.functional.xef.AIConfig +import com.xebia.functional.xef.PromptClassifier import com.xebia.functional.xef.evaluator.models.* import kotlinx.serialization.SerialName import kotlinx.serialization.Serializable @@ -30,15 +32,16 @@ data class SuiteSpec( ) { suspend inline fun evaluate(success: List): SuiteResults where - E : AI.PromptClassifier, + E : PromptClassifier, E : Enum { val items = items.map { item -> println("Evaluating item: ${item.input}") val outputResults = item.outputs.map { output -> - val classification = - AI.classify(item.input, item.context, output.value, model = model) + val config = AIConfig(model = model) + val classification: E = + AI.classify(item.input, item.context, output.value, config = config) println(" |_ ${output.description.value} = classification $classification") OutputResult( output.description.value, @@ -56,7 +59,7 @@ data class SuiteSpec( } companion object { - @JvmSynthetic + suspend operator fun invoke( description: String, model: CreateChatCompletionRequestModel, @@ -64,12 +67,12 @@ data class SuiteSpec( ): SuiteSpec = SuiteBuilder(description, model).apply { block() }.build() inline fun toHtml(result: SuiteResults, suiteName: String): Html where - E : AI.PromptClassifier, + E : PromptClassifier, E : Enum = Html.get(Json.encodeToString(SuiteResults.serializer(serializer()), result), suiteName) inline fun toMarkdown(result: SuiteResults, suiteName: String): Markdown where - E : AI.PromptClassifier, + E : PromptClassifier, E : Enum = Markdown.get(result, suiteName) } } diff --git a/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/metrics/AnswerAccuracy.kt b/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/metrics/AnswerAccuracy.kt index 2fd0d7ca7..f797c9722 100644 --- a/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/metrics/AnswerAccuracy.kt +++ b/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/metrics/AnswerAccuracy.kt @@ -1,8 +1,8 @@ package com.xebia.functional.xef.evaluator.metrics -import com.xebia.functional.xef.AI +import com.xebia.functional.xef.PromptClassifier -enum class AnswerAccuracy : AI.PromptClassifier { +enum class AnswerAccuracy : PromptClassifier { yes, no; diff --git a/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/metrics/ContextualRelevancy.kt b/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/metrics/ContextualRelevancy.kt index 5bfdab26d..f2a8a86fd 100644 --- a/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/metrics/ContextualRelevancy.kt +++ b/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/metrics/ContextualRelevancy.kt @@ -1,8 +1,8 @@ package com.xebia.functional.xef.evaluator.metrics -import com.xebia.functional.xef.AI +import com.xebia.functional.xef.PromptClassifier -enum class ContextualRelevancy : AI.PromptClassifier { +enum class ContextualRelevancy : PromptClassifier { high, mid, low; diff --git a/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/models/ItemResult.kt b/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/models/ItemResult.kt index 19e2295e2..e82c48f06 100644 --- a/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/models/ItemResult.kt +++ b/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/models/ItemResult.kt @@ -1,6 +1,6 @@ package com.xebia.functional.xef.evaluator.models -import com.xebia.functional.xef.AI +import com.xebia.functional.xef.PromptClassifier import kotlinx.serialization.Serializable @Serializable @@ -9,11 +9,11 @@ data class SuiteResults( val model: String, val metric: String? = null, val items: List> -) where E : AI.PromptClassifier, E : Enum +) where E : PromptClassifier, E : Enum @Serializable data class ItemResult(val description: String, val items: List>) where -E : AI.PromptClassifier, +E : PromptClassifier, E : Enum @Serializable @@ -24,4 +24,4 @@ data class OutputResult( val usage: OutputTokens?, val result: E, val success: Boolean -) where E : AI.PromptClassifier, E : Enum +) where E : PromptClassifier, E : Enum diff --git a/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/models/Markdown.kt b/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/models/Markdown.kt index 92baaaf7b..d0b933397 100644 --- a/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/models/Markdown.kt +++ b/evaluator/src/main/kotlin/com/xebia/functional/xef/evaluator/models/Markdown.kt @@ -1,13 +1,13 @@ package com.xebia.functional.xef.evaluator.models -import com.xebia.functional.xef.AI +import com.xebia.functional.xef.PromptClassifier import com.xebia.functional.xef.evaluator.metrics.ContextualRelevancy @JvmInline value class Markdown(val value: String) { companion object { fun get(result: SuiteResults, suiteName: String): Markdown where - E : AI.PromptClassifier, + E : PromptClassifier, E : Enum { val content = """| diff --git a/examples/src/main/kotlin/com/xebia/functional/xef/conversation/conversations/Animal.kt b/examples/src/main/kotlin/com/xebia/functional/xef/conversation/conversations/Animal.kt index 41a7534d1..a43f15e62 100644 --- a/examples/src/main/kotlin/com/xebia/functional/xef/conversation/conversations/Animal.kt +++ b/examples/src/main/kotlin/com/xebia/functional/xef/conversation/conversations/Animal.kt @@ -2,6 +2,7 @@ package com.xebia.functional.xef.conversation.conversations import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel import com.xebia.functional.xef.AI +import com.xebia.functional.xef.AIConfig import com.xebia.functional.xef.OpenAI import com.xebia.functional.xef.conversation.Conversation import com.xebia.functional.xef.conversation.MessagesFromHistory @@ -36,18 +37,19 @@ suspend fun main() { messagePolicy { addMessagesFromConversation = MessagesFromHistory.NONE } } val model = CreateChatCompletionRequestModel.gpt_3_5_turbo_16k_0613 + val config = AIConfig(model = model, openAI = openAI, conversation = this@Conversation) val animal: Animal = AI( Prompt(model) { +user("A unique animal species.") } .copy(configuration = configNoneFromConversation), - conversation = this@Conversation + config = config ) val invention: Invention = AI( Prompt(model) { +user("A groundbreaking invention from the 20th century.") } .copy(configuration = configNoneFromConversation), - conversation = this@Conversation + config = config ) println("\nAnimal: $animal") diff --git a/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/Classes.kt b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/Classes.kt index 329acbccf..4842c3844 100644 --- a/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/Classes.kt +++ b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/Classes.kt @@ -53,7 +53,7 @@ suspend fun books(topic: String): Books { +user("Give me a selection of books about $topic") } - return AI.chat(myCustomPrompt) + return AI(myCustomPrompt) } suspend fun main() { diff --git a/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/ParallelToolCalls.kt b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/ParallelToolCalls.kt new file mode 100644 index 000000000..eb0a8c7b3 --- /dev/null +++ b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/ParallelToolCalls.kt @@ -0,0 +1,48 @@ +package com.xebia.functional.xef.dsl.chat + +import com.xebia.functional.xef.AI +import com.xebia.functional.xef.AIConfig +import com.xebia.functional.xef.AIEvent +import com.xebia.functional.xef.Tool +import com.xebia.functional.xef.conversation.Description +import kotlinx.coroutines.flow.Flow +import kotlinx.serialization.Serializable + +val ballCupLocation = 47 + +suspend fun ballLocationInfoFromLastCupTried(input: Int): String { + return when { + input < ballCupLocation -> "${(input..ballCupLocation).random()} may have the ball." + input > ballCupLocation -> "${(ballCupLocation..input).random()} may have the ball." + else -> "The ball is under cup number $input." + } +} + +fun lookUnderCupNumber(cupNumber: Int): String = + if (cupNumber == ballCupLocation) + "You found the ball at $ballCupLocation's cup and it's red and shiny." + else + "Nothing found under cup number $cupNumber. Use the ballLocationInfoFromLastCupTried tool to get tips as to where it may be sending the last cup number you tried to find the ball." + +@Serializable data class RevealedSecret(val secret: String) + +suspend fun main() { + val revealedSecret: Flow> = + AI( + prompt = "Where is the ball? use the available tools to find out.", + config = + AIConfig( + tools = + listOf( + Tool( + ::ballLocationInfoFromLastCupTried, + Description( + "Get a tip on where the ball is based on the last cup number tried. Request this tool in parallel with different cup numbers to get multiple tips." + ) + ), + Tool(::lookUnderCupNumber, Description("Look under a cup to find the ball.")) + ) + ) + ) + revealedSecret.collect { it.debugPrint() } +} diff --git a/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/ParallelToolCallsAnonymous.kt b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/ParallelToolCallsAnonymous.kt new file mode 100644 index 000000000..2cfdc904b --- /dev/null +++ b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/ParallelToolCallsAnonymous.kt @@ -0,0 +1,47 @@ +package com.xebia.functional.xef.dsl.chat + +import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel +import com.xebia.functional.xef.AI +import com.xebia.functional.xef.AIConfig +import com.xebia.functional.xef.AIEvent +import com.xebia.functional.xef.Tool +import com.xebia.functional.xef.conversation.Description +import kotlinx.coroutines.flow.Flow + +suspend fun ballLocationInfoFromLastCupTriedImpl(input: Int): String { + val tip = if (input < ballCupLocation) "higher" else "lower" + val recommendedCup = + if (input < ballCupLocation) (input + 1)..ballCupLocation else ballCupLocation until input + return "The ball is not under cup number $input. Try a cup with a $tip number. We recommend trying cup ${recommendedCup.random()}, ${recommendedCup.random()}, ${recommendedCup.random()} next" +} + +fun lookUnderCupNumberImpl(cupNumber: Int): String = + if (cupNumber == ballCupLocation) + "You found the ball at $ballCupLocation's cup and it's red and shiny." + else + "Nothing found under cup number $cupNumber. Use the ballLocationInfoFromLastCupTried tool to get tips as to where it may be sending the last cup number you tried to find the ball." + +suspend fun main() { + val revealedSecret: Flow> = + AI( + prompt = "Where is the ball? use the available tools to find out.", + config = + AIConfig( + model = CreateChatCompletionRequestModel.gpt_3_5_turbo, + tools = + listOf( + Tool.suspend( + "ballLocationInfoFromLastCupTried", + Description("Get a tip on where the ball is based on the last cup number tried.") + ) { lastTried: Int -> + ballLocationInfoFromLastCupTriedImpl(lastTried) + }, + Tool("lookUnderCupNumber", Description("Look under a cup to find the ball.")) { + cupNumber: Int -> + lookUnderCupNumberImpl(cupNumber) + } + ) + ) + ) + revealedSecret.collect { it.debugPrint() } +} diff --git a/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/SealedClasses.kt b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/SealedClasses.kt index f942ed9e5..47dab37b2 100644 --- a/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/SealedClasses.kt +++ b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/SealedClasses.kt @@ -1,19 +1,41 @@ package com.xebia.functional.xef.dsl.chat import com.xebia.functional.xef.AI +import com.xebia.functional.xef.AIConfig +import com.xebia.functional.xef.AIEvent +import com.xebia.functional.xef.Tool +import com.xebia.functional.xef.conversation.Description +import kotlinx.coroutines.flow.Flow import kotlinx.serialization.Serializable @Serializable sealed class Response { - @Serializable data class City(val name: String) : Response() + @Serializable + @Description( + "This case is chosen when the response is not a city and the user asks about planets. First call `informationOnPlanet` to get the information." + ) + data class SomeOtherInformation(val info: String) : Response() - @Serializable data class Country(val name: String) : Response() - - @Serializable data class Continent(val name: String) : Response() + @Description("This case is chosen when the response is a city") + @Serializable + data class City(val name: String) : Response() } +fun informationOnPlanet(planet: Planet): String = + when (planet.name) { + "Mars" -> "It's a secret but we just discovered that Mars has 100 moons." + else -> "I don't have information on the number of moons for ${planet.name}." + } + suspend fun main() { - val response = AI("What is the capital of France?") - println(response) // City(name=Paris) + val city = AI("What is the name of the capital of France?") + println(city) // City(name=Paris) + + val other = + AI>>( + prompt = "How many moons does Mars have based on the recent discovery?", + config = AIConfig(tools = listOf(Tool(::informationOnPlanet))) + ) + other.collect { it.debugPrint() } } diff --git a/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/Streams.kt b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/Streams.kt index 8af782b03..36864bcb9 100644 --- a/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/Streams.kt +++ b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/chat/Streams.kt @@ -1,9 +1,25 @@ package com.xebia.functional.xef.dsl.chat import com.xebia.functional.xef.AI +import com.xebia.functional.xef.AIConfig +import com.xebia.functional.xef.AIEvent +import com.xebia.functional.xef.Tool import kotlinx.coroutines.flow.Flow suspend fun main() { val result = AI>("List of planets in the solar system") result.collect(::print) + + val info = + AI>>( + prompt = "How many moons in Mars?. Use the available tools to find out.", + config = AIConfig(tools = listOf(Tool(::informationOnPlanet))) + ) + + info.collect { + when (it) { + is AIEvent.Result -> println(it.value) + else -> it.debugPrint() + } + } } diff --git a/examples/src/main/kotlin/com/xebia/functional/xef/dsl/classify/AnswerAccuracy.kt b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/classify/AnswerAccuracy.kt index 363ea4275..aaaffec52 100644 --- a/examples/src/main/kotlin/com/xebia/functional/xef/dsl/classify/AnswerAccuracy.kt +++ b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/classify/AnswerAccuracy.kt @@ -1,6 +1,5 @@ package com.xebia.functional.xef.dsl.classify -import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel import com.xebia.functional.xef.AI import com.xebia.functional.xef.evaluator.metrics.AnswerAccuracy @@ -20,8 +19,7 @@ suspend fun main() { AI.classify( input = "Do I love Xef?", output = "I have three opened PRs", - context = "The answer responds the question", - model = CreateChatCompletionRequestModel.gpt_3_5_turbo_0125 + context = "The answer responds the question" ) ) } diff --git a/examples/src/main/kotlin/com/xebia/functional/xef/dsl/classify/MultipleClassifier.kt b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/classify/MultipleClassifier.kt index b9e7e6791..0a71d419f 100644 --- a/examples/src/main/kotlin/com/xebia/functional/xef/dsl/classify/MultipleClassifier.kt +++ b/examples/src/main/kotlin/com/xebia/functional/xef/dsl/classify/MultipleClassifier.kt @@ -1,13 +1,14 @@ package com.xebia.functional.xef.dsl.classify -import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel import com.xebia.functional.xef.AI +import com.xebia.functional.xef.Classification +import com.xebia.functional.xef.PromptMultipleClassifier import com.xebia.functional.xef.conversation.Description import kotlin.reflect.typeOf import kotlinx.serialization.Serializable @Serializable -enum class Sports : AI.PromptMultipleClassifier { +enum class Sports : PromptMultipleClassifier { @Description( "Football is a team sport that is played on a rectangular field with goalposts at each end. The objective of the game is to score points by moving the ball into the opposing team's goal. The team with the most points at the end of the game wins." ) @@ -29,7 +30,7 @@ enum class Sports : AI.PromptMultipleClassifier { ) CHESS; - override fun getItems(): List = typeOf().enumValuesName() + override fun getItems(): List = typeOf().enumValuesName() } /** @@ -38,10 +39,5 @@ enum class Sports : AI.PromptMultipleClassifier { suspend fun main() { println(AI.multipleClassify("Sport played with a racket")) - println( - AI.multipleClassify( - input = "The game is played with a ball", - model = CreateChatCompletionRequestModel.gpt_4o - ) - ) + println(AI.multipleClassify(input = "The game is played with a ball")) } diff --git a/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/SQL.kt b/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/SQL.kt index 7ff4bb2f1..6aceaf222 100644 --- a/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/SQL.kt +++ b/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/SQL.kt @@ -2,6 +2,7 @@ package com.xebia.functional.xef.sql import com.xebia.functional.openai.generated.api.Chat import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel +import com.xebia.functional.xef.Tool import com.xebia.functional.xef.conversation.AiDsl import com.xebia.functional.xef.conversation.Conversation import com.xebia.functional.xef.conversation.Description @@ -120,7 +121,8 @@ class SQLImpl(private val chatApi: Chat, private val model: CreateChatCompletion return chatApi.prompt( prompt = prompt, scope = this, - serializer = serializer() + serializer = Tool.fromKotlin(), + tools = emptyList() ) } From a211c79fc2b53aa89fc5cc0b7b4cdb22f0d614e5 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Wed, 19 Jun 2024 14:47:17 +0200 Subject: [PATCH 12/29] Bump kotest from 5.8.1 to 5.9.0 (#750) Bumps `kotest` from 5.8.1 to 5.9.0. Updates `io.kotest:kotest-assertions-core` from 5.8.1 to 5.9.0 - [Release notes](https://github.com/kotest/kotest/releases) - [Commits](https://github.com/kotest/kotest/compare/v5.8.1...v5.9.0) Updates `io.kotest:kotest-framework-engine` from 5.8.1 to 5.9.0 - [Release notes](https://github.com/kotest/kotest/releases) - [Commits](https://github.com/kotest/kotest/compare/v5.8.1...v5.9.0) Updates `io.kotest:kotest-property` from 5.8.1 to 5.9.0 - [Release notes](https://github.com/kotest/kotest/releases) - [Commits](https://github.com/kotest/kotest/compare/v5.8.1...v5.9.0) Updates `io.kotest:kotest-runner-junit5` from 5.8.1 to 5.9.0 - [Release notes](https://github.com/kotest/kotest/releases) - [Commits](https://github.com/kotest/kotest/compare/v5.8.1...v5.9.0) Updates `io.kotest.multiplatform` from 5.8.1 to 5.9.0 --- updated-dependencies: - dependency-name: io.kotest:kotest-assertions-core dependency-type: direct:production update-type: version-update:semver-minor - dependency-name: io.kotest:kotest-framework-engine dependency-type: direct:production update-type: version-update:semver-minor - dependency-name: io.kotest:kotest-property dependency-type: direct:production update-type: version-update:semver-minor - dependency-name: io.kotest:kotest-runner-junit5 dependency-type: direct:production update-type: version-update:semver-minor - dependency-name: io.kotest.multiplatform dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Francisco Diaz --- gradle/libs.versions.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gradle/libs.versions.toml b/gradle/libs.versions.toml index 7d4ce680f..a407ac17c 100644 --- a/gradle/libs.versions.toml +++ b/gradle/libs.versions.toml @@ -9,7 +9,7 @@ ktor = "2.3.11" ktor-logging = "0.4.0" spotless = "6.25.0" okio = "3.9.0" -kotest = "5.8.1" +kotest = "5.9.0" kotest-testcontainers = "2.0.2" kotest-arrow = "1.4.0" klogging = "6.0.9" From c6aabfedea5020fd37475ff789c6c1e37566963b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Carlos=20Monta=C3=B1ez?= Date: Fri, 28 Jun 2024 15:03:44 +0200 Subject: [PATCH 13/29] downgrade opentelemetry version (#764) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: José Carlos Montañez --- gradle/libs.versions.toml | 2 +- .../xef/opentelemetry/OpenTelemetryConfig.kt | 12 ------------ 2 files changed, 1 insertion(+), 13 deletions(-) diff --git a/gradle/libs.versions.toml b/gradle/libs.versions.toml index a407ac17c..8f2d20937 100644 --- a/gradle/libs.versions.toml +++ b/gradle/libs.versions.toml @@ -33,7 +33,7 @@ suspendApp = "0.4.0" flyway = "9.22.3" resources-kmp = "0.4.0" detekt = "1.23.6" -opentelemetry="1.36.0" +opentelemetry="1.25.0" opentelemetry-semconv="1.30.1-alpha" progressbar = "0.10.0" jmf = "2.1.1e" diff --git a/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryConfig.kt b/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryConfig.kt index e1aed93c6..af142061e 100644 --- a/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryConfig.kt +++ b/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryConfig.kt @@ -4,12 +4,9 @@ import io.opentelemetry.api.OpenTelemetry import io.opentelemetry.api.common.AttributeKey import io.opentelemetry.api.trace.propagation.W3CTraceContextPropagator import io.opentelemetry.context.propagation.ContextPropagators -import io.opentelemetry.exporter.otlp.logs.OtlpGrpcLogRecordExporter import io.opentelemetry.exporter.otlp.metrics.OtlpGrpcMetricExporter import io.opentelemetry.exporter.otlp.trace.OtlpGrpcSpanExporter import io.opentelemetry.sdk.OpenTelemetrySdk -import io.opentelemetry.sdk.logs.SdkLoggerProvider -import io.opentelemetry.sdk.logs.export.BatchLogRecordProcessor import io.opentelemetry.sdk.metrics.SdkMeterProvider import io.opentelemetry.sdk.metrics.export.PeriodicMetricReader import io.opentelemetry.sdk.resources.Resource @@ -50,19 +47,10 @@ data class OpenTelemetryConfig( .setResource(resource) .build() - val loggerProvider = - SdkLoggerProvider.builder() - .addLogRecordProcessor( - BatchLogRecordProcessor.builder(OtlpGrpcLogRecordExporter.builder().build()).build() - ) - .setResource(resource) - .build() - val openTelemetry = OpenTelemetrySdk.builder() .setTracerProvider(tracerProvider) .setMeterProvider(meterProvider) - .setLoggerProvider(loggerProvider) .setPropagators(ContextPropagators.create(W3CTraceContextPropagator.getInstance())) .buildAndRegisterGlobal() From 0123ea1abb0432d48331da6d7a3250f8c583cb37 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Thu, 4 Jul 2024 13:55:19 +0200 Subject: [PATCH 14/29] Bump ktor from 2.3.11 to 2.3.12 (#762) Bumps `ktor` from 2.3.11 to 2.3.12. Updates `io.ktor:ktor-utils` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-http` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-client-core` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-client-auth` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-client-content-negotiation` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-serialization-kotlinx-json` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-client-cio` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-client-logging` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-client-js` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-client-json` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-client-winhttp` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-server-auth` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-server-core` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-server-netty` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-server-content-negotiation` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-server-resources` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-server-cors` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-server-request-validation` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) Updates `io.ktor:ktor-server-status-pages` from 2.3.11 to 2.3.12 - [Release notes](https://github.com/ktorio/ktor/releases) - [Changelog](https://github.com/ktorio/ktor/blob/2.3.12/CHANGELOG.md) - [Commits](https://github.com/ktorio/ktor/compare/2.3.11...2.3.12) --- updated-dependencies: - dependency-name: io.ktor:ktor-utils dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-http dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-core dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-auth dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-content-negotiation dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-serialization-kotlinx-json dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-cio dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-logging dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-js dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-json dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-client-winhttp dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-auth dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-core dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-netty dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-content-negotiation dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-resources dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-cors dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-request-validation dependency-type: direct:production update-type: version-update:semver-patch - dependency-name: io.ktor:ktor-server-status-pages dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- gradle/libs.versions.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gradle/libs.versions.toml b/gradle/libs.versions.toml index 8f2d20937..330fbac97 100644 --- a/gradle/libs.versions.toml +++ b/gradle/libs.versions.toml @@ -5,7 +5,7 @@ exposed = "0.49.0" kotlin = "1.9.23" kotlinx-json = "1.6.3" kotlinx-datetime = "0.5.0" -ktor = "2.3.11" +ktor = "2.3.12" ktor-logging = "0.4.0" spotless = "6.25.0" okio = "3.9.0" From 9de65aecb034641898b5b54e5be9752ff3ba680d Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Ra=C3=BAl=20Raja=20Mart=C3=ADnez?= Date: Mon, 8 Jul 2024 13:13:49 +0200 Subject: [PATCH 15/29] only swallow tool exceptions if they are not assertion errors (#769) --- .../com/xebia/functional/xef/llm/assistants/Assistant.kt | 1 + .../xebia/functional/xef/llm/assistants/AssistantThread.kt | 6 +++++- 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt index 5d84096d4..120c85814 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt @@ -62,6 +62,7 @@ class Assistant( Json.encodeToJsonElement(toolSerializer.outputSerializer as KSerializer, output) ToolOutput(schema, result) } catch (e: Exception) { + if (e is AssertionError) throw e val message = "Error calling to tool registered $name: ${e.message}" val logger = KtorSimpleLogger("Functions") logger.error(message, e) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/AssistantThread.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/AssistantThread.kt index 934a1b790..f0c27edc4 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/AssistantThread.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/AssistantThread.kt @@ -9,7 +9,10 @@ import com.xebia.functional.xef.llm.addMetrics import com.xebia.functional.xef.metrics.Metric import io.ktor.client.request.* import kotlin.jvm.JvmName -import kotlinx.coroutines.flow.* +import kotlinx.coroutines.flow.Flow +import kotlinx.coroutines.flow.FlowCollector +import kotlinx.coroutines.flow.flow +import kotlinx.coroutines.flow.map import kotlinx.serialization.json.Json import kotlinx.serialization.json.JsonObject import kotlinx.serialization.json.JsonPrimitive @@ -186,6 +189,7 @@ class AssistantThread( } else null } else null } catch (e: Throwable) { + if (e is AssertionError) throw e toolCall.id to Assistant.Companion.ToolOutput( schema = JsonObject(emptyMap()), From 2555afdfee939db1c73e2935dcdb1160453e4efa Mon Sep 17 00:00:00 2001 From: Simon Vergauwen Date: Tue, 9 Jul 2024 09:42:30 +0200 Subject: [PATCH 16/29] Deprecate, and remove SQL (#767) --- .../functional/xef/llm/models/OpenAIClient.kt | 1 + examples/build.gradle.kts | 1 - integrations/sql/build.gradle.kts | 45 ----- .../xebia/functional/xef/sql/DatabaseOps.kt | 37 ---- .../xebia/functional/xef/sql/QueryResult.kt | 22 --- .../xebia/functional/xef/sql/ResultSetOps.kt | 35 ---- .../com/xebia/functional/xef/sql/SQL.kt | 160 ------------------ .../functional/xef/sql/jdbc/JdbcConfig.kt | 17 -- settings.gradle.kts | 3 - 9 files changed, 1 insertion(+), 320 deletions(-) delete mode 100644 integrations/sql/build.gradle.kts delete mode 100644 integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/DatabaseOps.kt delete mode 100644 integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/QueryResult.kt delete mode 100644 integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/ResultSetOps.kt delete mode 100644 integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/SQL.kt delete mode 100644 integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/jdbc/JdbcConfig.kt diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/models/OpenAIClient.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/models/OpenAIClient.kt index ba9b824f5..d14851757 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/models/OpenAIClient.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/models/OpenAIClient.kt @@ -3,6 +3,7 @@ package com.xebia.functional.xef.llm.models import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel import com.xebia.functional.openai.generated.model.CreateEmbeddingRequestModel import com.xebia.functional.tokenizer.ModelType +import io.ktor.client.* fun CreateChatCompletionRequestModel.modelType(forFunctions: Boolean = false): ModelType { val stringValue = value diff --git a/examples/build.gradle.kts b/examples/build.gradle.kts index b29a285e2..2a60c1ded 100644 --- a/examples/build.gradle.kts +++ b/examples/build.gradle.kts @@ -19,7 +19,6 @@ dependencies { implementation(projects.xefEvaluator) implementation(projects.xefFilesystem) implementation(projects.xefPdf) - implementation(projects.xefSql) implementation(projects.xefTokenizer) implementation(projects.xefReasoning) implementation(projects.xefOpentelemetry) diff --git a/integrations/sql/build.gradle.kts b/integrations/sql/build.gradle.kts deleted file mode 100644 index ec2b7129e..000000000 --- a/integrations/sql/build.gradle.kts +++ /dev/null @@ -1,45 +0,0 @@ -plugins { - id(libs.plugins.kotlin.jvm.get().pluginId) - alias(libs.plugins.arrow.gradle.publish) - alias(libs.plugins.semver.gradle) - alias(libs.plugins.detekt) - alias(libs.plugins.kotlinx.serialization) -} - -dependencies { detektPlugins(project(":detekt-rules")) } - -repositories { mavenCentral() } - -java { - sourceCompatibility = JavaVersion.VERSION_11 - targetCompatibility = JavaVersion.VERSION_11 - toolchain { languageVersion = JavaLanguageVersion.of(11) } -} - -detekt { - toolVersion = "1.23.1" - source.setFrom(files("src/main/kotlin")) - config.setFrom("../../config/detekt/detekt.yml") - autoCorrect = true -} - -dependencies { - implementation(projects.xefCore) - implementation(projects.xefTokenizer) - implementation(libs.klogging) - implementation(libs.exposed.core) - implementation(libs.exposed.dao) - implementation(libs.exposed.jdbc) -} - -tasks { - withType().configureEach { - dependsOn(":detekt-rules:assemble") - autoCorrect = true - } - named("detekt") { - dependsOn(":detekt-rules:assemble") - getByName("build").dependsOn(this) - } - withType { dependsOn(withType()) } -} diff --git a/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/DatabaseOps.kt b/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/DatabaseOps.kt deleted file mode 100644 index a6ff5ca05..000000000 --- a/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/DatabaseOps.kt +++ /dev/null @@ -1,37 +0,0 @@ -package com.xebia.functional.xef.sql - -import org.jetbrains.exposed.sql.Table -import org.jetbrains.exposed.sql.exists -import org.jetbrains.exposed.sql.transactions.transaction -import java.sql.JDBCType - -fun tableDDL(tableNames: List): String = transaction { - tableNames.joinToString("\n") { tableName -> - val table = Table(tableName) - require(table.exists()) { "Table $tableName does not exist" } - - this.connection.metadata { - val columns = this.columns(table) - .values - .flatten() - .joinToString(",\n", postfix = ",") { column -> - val dataType = JDBCType.valueOf(column.type).name - val dataTypeWithLength = - (if (column.size != null) "$dataType(${column.size})" else dataType).uppercase() - val nullable = if (column.nullable) "NULL" else "NOT NULL" - val defaultValue = if (column.defaultDbValue != null) "DEFAULT ${column.defaultDbValue}" else "" - - "\t${column.name} $dataTypeWithLength $nullable $defaultValue" - }.replace(Regex("\\s*,"), ",") - - val primaryKeys = this.existingPrimaryKeys(table) - .values - .fold("") { _, pk -> pk?.columnNames?.joinToString { name -> "\tPRIMARY KEY ($name),\n" } ?: "" } - - """TABLE $tableName ( - |$columns - |$primaryKeys); - |""".trimMargin() - } - } -} diff --git a/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/QueryResult.kt b/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/QueryResult.kt deleted file mode 100644 index 6e010c724..000000000 --- a/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/QueryResult.kt +++ /dev/null @@ -1,22 +0,0 @@ -package com.xebia.functional.xef.sql - -import kotlinx.serialization.Serializable - -@Serializable -data class QueryResult( - val columns: List, - val rows: List> -) { - companion object { - fun empty() = QueryResult(emptyList(), emptyList()) - } - - fun index(column: String): Int = - columns.indexOfFirst { it.name == column } -} - -@Serializable -data class Column( - val name: String, - val type: String -) diff --git a/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/ResultSetOps.kt b/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/ResultSetOps.kt deleted file mode 100644 index 794947a60..000000000 --- a/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/ResultSetOps.kt +++ /dev/null @@ -1,35 +0,0 @@ -package com.xebia.functional.xef.sql - -import java.sql.ResultSet - -object ResultSetOps { - - fun ResultSet.toQueryResult(): QueryResult { - val columns = this.getColumns() - val rows = mutableListOf>() - - while (this.next()) { - val row = mutableListOf() - - for (i in 1..this.metaData.columnCount) { - row.add(getString(i)) - } - - rows.add(row) - } - - return QueryResult(columns, rows) - } - - private fun ResultSet.getColumns(): List { - val columns = mutableListOf() - - for (i in 1..this.metaData.columnCount) { - val fieldName = this.metaData.getColumnName(i) - val fieldType = this.metaData.getColumnTypeName(i) - columns.add(Column(fieldName, fieldType)) - } - - return columns - } -} diff --git a/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/SQL.kt b/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/SQL.kt deleted file mode 100644 index 6aceaf222..000000000 --- a/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/SQL.kt +++ /dev/null @@ -1,160 +0,0 @@ -package com.xebia.functional.xef.sql - -import com.xebia.functional.openai.generated.api.Chat -import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel -import com.xebia.functional.xef.Tool -import com.xebia.functional.xef.conversation.AiDsl -import com.xebia.functional.xef.conversation.Conversation -import com.xebia.functional.xef.conversation.Description -import com.xebia.functional.xef.llm.* -import com.xebia.functional.xef.prompt.Prompt -import com.xebia.functional.xef.prompt.PromptBuilder.Companion.system -import com.xebia.functional.xef.prompt.PromptBuilder.Companion.user -import com.xebia.functional.xef.sql.ResultSetOps.toQueryResult -import com.xebia.functional.xef.sql.jdbc.JdbcConfig -import io.github.oshai.kotlinlogging.KotlinLogging -import kotlinx.serialization.Serializable -import kotlinx.serialization.serializer -import org.jetbrains.exposed.sql.Database -import org.jetbrains.exposed.sql.name -import org.jetbrains.exposed.sql.transactions.transaction -import java.time.LocalDate -import java.time.format.DateTimeFormatter - -interface SQL { - companion object { - suspend fun fromJdbcConfig(config: JdbcConfig, block: suspend SQL.() -> A): A = block( - SQLImpl( - config.chatApi, - config.model, - Database.connect(url = config.toJDBCUrl(), user = config.username, password = config.password) - ) - ) - } - - /** - * Generates a SQL query and obtains the table data from a user's prompt. - * - * @param prompt The input prompt. - * @param tableNames A list of table names that may be needed for query generation. - * @param context Additional context information. - * @return An AnswerResponse object containing the response, query details, and result tables. - */ - @AiDsl - suspend fun Conversation.promptQuery(prompt: String, tableNames: List, context: String?): AnswerResponse -} - -class SQLImpl(private val chatApi: Chat, private val model: CreateChatCompletionRequestModel, private val db: Database) : SQL { - private val logger = KotlinLogging.logger {} - - override suspend fun Conversation.promptQuery( - prompt: String, - tableNames: List, - context: String? - ): AnswerResponse { - val queriesAnswer = query(prompt, tableNames, context) - val mainTable = queriesAnswer.mainQuery?.takeIf { it.isNotBlank() }?.let { executeSQL(it) } - val detailedTable = queriesAnswer.detailedQuery?.takeIf { it.isNotBlank() }?.let { executeSQL(it) } - val friendlyResponse = queriesAnswer.replaceFriendlyResponse(mainTable) - - logger.info { "Main query: ${queriesAnswer.mainQuery}" } - logger.info { "Detailed query: ${queriesAnswer.detailedQuery}" } - logger.info { "Friendly response: $friendlyResponse" } - - return AnswerResponse( - input = prompt, - answer = friendlyResponse, - mainQuery = queriesAnswer.mainQuery, - detailedQuery = queriesAnswer.detailedQuery, - mainTable = mainTable, - detailedTable = detailedTable - ) - } - - private fun executeSQL(sql: String): QueryResult = transaction { - runCatching { connection.prepareStatement(sql, false).executeQuery().toQueryResult() }.getOrElse { - logger.info { "Failing executing SQL query: $sql" } - QueryResult.empty() - } - } - - private suspend fun Conversation.query( - input: String, - tableNames: List, - context: String? - ): QueriesAnswer { - val prompt = Prompt(model) { - +system( - """ - As an SQL expert, your main goal is to generate SQL queries, but you must be able to answer any SQL-related question that solves the input. - - Keep into account today's date is ${LocalDate.now().format(DateTimeFormatter.ofPattern("yyyy-MM-dd"))} - The queries have to be compatible with ${db.vendor} in the version ${db.version}. - You must always use aliases to generate the queries. - - The database name is: ${db.name} - We have the tables named: ${tableNames.joinToString(", ")} whose SQL schema are the next: - ${tableDDL(tableNames)} - - "${context?.let { "Analyse the following context to accurate the answer: $it" }}" - - Please check the fields of the tables to be able to generate consistent and valid SQL results. - Make sure that the result includes all the mandatory fields, and analyze if the optional ones are needed. - - In case you have to generate a SQL query to solve the input: - - Select from this list of tables the SQL tables that you need to generate the query. - - Generate a main SQL query that has to satisfy the input of the user if it's possible. - - If the SQL query is successfully generated, provide a friendly sentence summary; otherwise, provide a friendly notice of failure. - - If the query generated returns an amount, the friendly sentence can refer the data with XXX and you have to generate a another query to show the disaggregated data. - - If the friendly sentence refers the data with XXX, add the column name to extract the value to replace it when I run the query. - """.trimIndent() - ) - +user( - """ - |```input - |$input - |``` - """.trimIndent() - ) - } - - return chatApi.prompt( - prompt = prompt, - scope = this, - serializer = Tool.fromKotlin(), - tools = emptyList() - ) - } - -} - - -@Serializable -@Description("SQL queries") -data class QueriesAnswer( - @Description("The main SQL that satisfies the input of the user.") - val mainQuery: String?, - @Description("Friendly sentence that summarize the output.") - val friendlyResponse: String, - @Description("Column name to extract the data to replace the placeholder.") - val columnToReplace: String?, - @Description("SQL to show the disaggregated data.") - val detailedQuery: String? -) { - fun replaceFriendlyResponse(result: QueryResult?): String = - if (friendlyResponse.contains("XXX")) { - val value = columnToReplace?.let { colName -> - result?.let { r -> r.rows.firstOrNull()?.elementAtOrNull(r.index(colName)) } - } ?: "" - friendlyResponse.replace("XXX", value) - } else friendlyResponse -} - -data class AnswerResponse( - val input: String, - val answer: String, - val mainQuery: String?, - val detailedQuery: String?, - val mainTable: QueryResult?, - val detailedTable: QueryResult? -) diff --git a/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/jdbc/JdbcConfig.kt b/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/jdbc/JdbcConfig.kt deleted file mode 100644 index c740a3dc5..000000000 --- a/integrations/sql/src/main/kotlin/com/xebia/functional/xef/sql/jdbc/JdbcConfig.kt +++ /dev/null @@ -1,17 +0,0 @@ -package com.xebia.functional.xef.sql.jdbc - -import com.xebia.functional.openai.generated.api.Chat -import com.xebia.functional.openai.generated.model.CreateChatCompletionRequestModel - -class JdbcConfig( - val vendor: String, - val host: String, - val username: String, - val password: String, - val port: Int, - val database: String, - val chatApi: Chat, - val model: CreateChatCompletionRequestModel -) { - fun toJDBCUrl(): String = "jdbc:$vendor://$host:$port/$database" -} diff --git a/settings.gradle.kts b/settings.gradle.kts index dbb1da79e..219e615e6 100644 --- a/settings.gradle.kts +++ b/settings.gradle.kts @@ -43,9 +43,6 @@ project(":xef-pdf").projectDir = file("integrations/pdf") include("xef-postgresql") project(":xef-postgresql").projectDir = file("integrations/postgresql") -include("xef-sql") -project(":xef-sql").projectDir = file("integrations/sql") - include("xef-opentelemetry") project(":xef-opentelemetry").projectDir = file("integrations/opentelemetry") From 17be0b8b7579f0522426763cce8dfdb83bbd8267 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Javier=20P=C3=A9rez=20Pacheco?= Date: Tue, 13 Aug 2024 14:45:02 +0200 Subject: [PATCH 17/29] Assistant JSON config (#774) --- .../xef/llm/assistants/Assistant.kt | 19 +++++++++++-------- 1 file changed, 11 insertions(+), 8 deletions(-) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt index 120c85814..55e6ae86e 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt @@ -9,7 +9,6 @@ import com.xebia.functional.xef.llm.models.functions.buildJsonSchema import io.ktor.util.logging.* import kotlinx.serialization.KSerializer import kotlinx.serialization.Serializable -import kotlinx.serialization.json.Json import kotlinx.serialization.json.JsonElement import kotlinx.serialization.json.JsonObject import kotlinx.serialization.json.JsonPrimitive @@ -52,14 +51,17 @@ class Assistant( val toolConfig = toolsConfig.firstOrNull { it.functionObject.name == name } val toolSerializer = toolConfig?.serializers ?: error("Function $name not registered") - val input = Json.decodeFromString(toolSerializer.inputSerializer, args) + val input = config.json.decodeFromString(toolSerializer.inputSerializer, args) val tool: Tool = toolConfig.tool as Tool val schema = buildJsonSchema(toolSerializer.outputSerializer.descriptor) val output: Any? = tool(input) val result = - Json.encodeToJsonElement(toolSerializer.outputSerializer as KSerializer, output) + config.json.encodeToJsonElement( + toolSerializer.outputSerializer as KSerializer, + output + ) ToolOutput(schema, result) } catch (e: Exception) { if (e is AssertionError) throw e @@ -164,7 +166,7 @@ class Assistant( functionObject.name, functionObject.description ?: "", functionObject.parameters?.let { el -> - Json.encodeToString(JsonObject.serializer(), el) + config.json.encodeToString(JsonObject.serializer(), el) } ?: "" ) } else { @@ -195,7 +197,7 @@ class Assistant( name = assistantRequest.name, description = assistantRequest.description, instructions = assistantRequest.instructions, - tools = assistantTools(assistantRequest), + tools = assistantTools(assistantRequest, config), toolResources = assistantRequest.toolResources?.let { ModifyAssistantRequestToolResources( @@ -220,7 +222,7 @@ class Assistant( name = assistantRequest.name, description = assistantRequest.description, instructions = assistantRequest.instructions, - tools = assistantTools(assistantRequest), + tools = assistantTools(assistantRequest, config), toolResources = assistantRequest.toolResources, metadata = assistantRequest.metadata @@ -234,7 +236,8 @@ class Assistant( } private fun assistantTools( - assistantRequest: AssistantRequest + assistantRequest: AssistantRequest, + config: Config ): List = assistantRequest.tools.orEmpty().map { when (it) { @@ -254,7 +257,7 @@ class Assistant( FunctionObject( name = it.name, parameters = - Json.parseToJsonElement(it.parameters) as? JsonObject + config.json.parseToJsonElement(it.parameters) as? JsonObject ?: JsonObject(emptyMap()), description = it.description ) From 8f36c0449e6d88cc2186bf27e1961dc0cbaad39a Mon Sep 17 00:00:00 2001 From: David Vega Lichacz <7826728+realdavidvega@users.noreply.github.com> Date: Wed, 14 Aug 2024 13:07:45 +0200 Subject: [PATCH 18/29] feat: expose cache as a map of filtered seed (#775) --- .../xef/llm/assistants/CachedTool.kt | 27 +++++++++++++++++-- 1 file changed, 25 insertions(+), 2 deletions(-) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt index 2585f57d4..3b1451333 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt @@ -19,10 +19,33 @@ abstract class CachedTool( return cache(CachedToolKey(input, seed)) { onCacheMissed(input) } } + /** + * Exposes the cache as a [Map] of [Input] to [Output] filtered by instance [seed] and + * [timeCachePolicy]. Removes expired cache entries. + */ + suspend fun getCache(): Map { + val lastTimeInCache = timeInMillis() - timeCachePolicy.inWholeMilliseconds + val withoutExpired = + cache.modify { cachedToolInfo -> + // Filter entries belonging to the current seed and have not expired + val validEntries = + cachedToolInfo + .filter { (key, value) -> + if (key.seed == seed) lastTimeInCache <= value.timestamp else true + } + .toMutableMap() + // Remove expired entries for the current seed only + cachedToolInfo.keys.removeAll { key -> key.seed == seed && !validEntries.containsKey(key) } + // Modifies state A, and returns state B + Pair(cachedToolInfo, validEntries) + } + return withoutExpired.map { it.key.value to it.value.value }.toMap() + } + abstract suspend fun onCacheMissed(input: Input): Output private suspend fun cache(input: CachedToolKey, block: suspend () -> Output): Output { - val cachedToolInfo = cache.get().get(input) + val cachedToolInfo = cache.get()[input] if (cachedToolInfo != null) { val lastTimeInCache = timeInMillis() - timeCachePolicy.inWholeMilliseconds if (lastTimeInCache > cachedToolInfo.timestamp) { @@ -32,7 +55,7 @@ abstract class CachedTool( } } val response = block() - cache.get().put(input, CachedToolValue(response, timeInMillis())) + cache.get()[input] = CachedToolValue(response, timeInMillis()) return response } } From 7295e6c6df062bcae3befc6829f01675355a88b6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Ra=C3=BAl=20Raja=20Mart=C3=ADnez?= Date: Tue, 20 Aug 2024 12:40:03 +0200 Subject: [PATCH 19/29] Allow `@Schema` on Tool requests and read `description` from annotation when available. (#771) --- .../functional/xef/conversation/Schema.kt | 11 ++++ .../functional/xef/llm/ChatWithFunctions.kt | 31 ++++++++--- .../xef/functions/FunctionSchemaTests.kt | 55 +++++++++++++++++++ 3 files changed, 90 insertions(+), 7 deletions(-) create mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/conversation/Schema.kt create mode 100644 core/src/commonTest/kotlin/com/xebia/functional/xef/functions/FunctionSchemaTests.kt diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/conversation/Schema.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/conversation/Schema.kt new file mode 100644 index 000000000..1ed8da2af --- /dev/null +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/conversation/Schema.kt @@ -0,0 +1,11 @@ +package com.xebia.functional.xef.conversation + +import kotlinx.serialization.ExperimentalSerializationApi +import kotlinx.serialization.SerialInfo + +/** Schema for a tool request */ +@OptIn(ExperimentalSerializationApi::class) +@SerialInfo +@Retention(AnnotationRetention.RUNTIME) +@Target(AnnotationTarget.CLASS) +annotation class Schema(val value: String) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/ChatWithFunctions.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/ChatWithFunctions.kt index 269b23da3..bbbce296a 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/ChatWithFunctions.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/ChatWithFunctions.kt @@ -7,9 +7,12 @@ import com.xebia.functional.openai.generated.api.Chat import com.xebia.functional.openai.generated.model.* import com.xebia.functional.xef.AIError import com.xebia.functional.xef.AIEvent +import com.xebia.functional.xef.Config import com.xebia.functional.xef.Tool import com.xebia.functional.xef.conversation.AiDsl import com.xebia.functional.xef.conversation.Conversation +import com.xebia.functional.xef.conversation.Description +import com.xebia.functional.xef.conversation.Schema import com.xebia.functional.xef.llm.models.functions.buildJsonSchema import com.xebia.functional.xef.prompt.Prompt import com.xebia.functional.xef.prompt.PromptBuilder.Companion.tool @@ -21,17 +24,31 @@ import kotlinx.serialization.ExperimentalSerializationApi import kotlinx.serialization.descriptors.SerialDescriptor import kotlinx.serialization.json.* -@OptIn(ExperimentalSerializationApi::class) fun chatFunction(descriptor: SerialDescriptor): FunctionObject { - val fnName = descriptor.serialName.substringAfterLast(".") - return chatFunction(fnName, buildJsonSchema(descriptor)) + val functionName = functionName(descriptor) + return FunctionObject( + name = functionName, + description = functionDescription(descriptor, functionName), + parameters = functionSchema(descriptor) + ) } -fun chatFunctions(descriptors: List): List = - descriptors.map(::chatFunction) +@OptIn(ExperimentalSerializationApi::class) +fun functionSchema(descriptor: SerialDescriptor): JsonObject = + descriptor.annotations.filterIsInstance().firstOrNull()?.value?.let { + Config.DEFAULT.json.decodeFromString(JsonObject.serializer(), it) + } ?: buildJsonSchema(descriptor) -fun chatFunction(fnName: String, schema: JsonObject): FunctionObject = - FunctionObject(fnName, "Generated function for $fnName", schema) +@OptIn(ExperimentalSerializationApi::class) +fun functionDescription(descriptor: SerialDescriptor, fnName: String): String = + (descriptor.annotations.filterIsInstance().firstOrNull()?.value + ?: defaultFunctionDescription(fnName)) + +fun defaultFunctionDescription(fnName: String): String = "Generated function for $fnName" + +@OptIn(ExperimentalSerializationApi::class) +fun functionName(descriptor: SerialDescriptor): String = + descriptor.serialName.substringAfterLast(".") data class UsageTracker( var llmCalls: Int = 0, diff --git a/core/src/commonTest/kotlin/com/xebia/functional/xef/functions/FunctionSchemaTests.kt b/core/src/commonTest/kotlin/com/xebia/functional/xef/functions/FunctionSchemaTests.kt new file mode 100644 index 000000000..6f6376af0 --- /dev/null +++ b/core/src/commonTest/kotlin/com/xebia/functional/xef/functions/FunctionSchemaTests.kt @@ -0,0 +1,55 @@ +package com.xebia.functional.xef.functions + +import com.xebia.functional.xef.conversation.Description +import com.xebia.functional.xef.conversation.Schema +import com.xebia.functional.xef.llm.chatFunction +import com.xebia.functional.xef.llm.defaultFunctionDescription +import com.xebia.functional.xef.llm.functionName +import com.xebia.functional.xef.llm.models.functions.buildJsonSchema +import io.kotest.core.spec.style.StringSpec +import io.kotest.matchers.shouldBe +import kotlinx.serialization.Serializable +import kotlinx.serialization.json.JsonObject + +class FunctionSchemaTests : + StringSpec({ + "Request has default description" { + val descriptor = Request.serializer().descriptor + val function = chatFunction(descriptor) + val fnName = functionName(descriptor) + function.description shouldBe defaultFunctionDescription(fnName) + } + + "Description can be set on request" { + val descriptor = RequestWithDescription.serializer().descriptor + val function = chatFunction(descriptor) + function.description shouldBe "Request With Description" + } + + "Schema can be generated on request" { + val descriptor = Request.serializer().descriptor + val function = chatFunction(descriptor) + function.parameters shouldBe buildJsonSchema(descriptor) + } + + "Schema can be set on request" { + val descriptor = RequestWithSchema.serializer().descriptor + val function = chatFunction(descriptor) + function.parameters shouldBe JsonObject(emptyMap()) + } + }) { + + @Serializable data class Request(val input: String) + + @Serializable + @Description("Request With Description") + data class RequestWithDescription(val input: String) + + @Serializable + @Description("Request with schema") + @Schema(""" + { + } + """) + data class RequestWithSchema(val input: String) +} From f741c955f26be6b7ee140d6d2c50b32472972834 Mon Sep 17 00:00:00 2001 From: David Vega Lichacz <7826728+realdavidvega@users.noreply.github.com> Date: Tue, 20 Aug 2024 16:38:41 +0200 Subject: [PATCH 20/29] Set default description for assistant tools (#777) * feat: set tool description if available for assistant tool * style: spotless --- .../functional/xef/llm/assistants/Tool.kt | 15 ++++++---- .../xef/assistants/ToolDescriptionTests.kt | 28 +++++++++++++++++++ 2 files changed, 37 insertions(+), 6 deletions(-) create mode 100644 core/src/commonTest/kotlin/com/xebia/functional/xef/assistants/ToolDescriptionTests.kt diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Tool.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Tool.kt index 5789961f0..0fa92b3b5 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Tool.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Tool.kt @@ -2,6 +2,7 @@ package com.xebia.functional.xef.llm.assistants import com.xebia.functional.openai.generated.model.FunctionObject import com.xebia.functional.xef.llm.chatFunction +import com.xebia.functional.xef.llm.defaultFunctionDescription import kotlinx.serialization.KSerializer import kotlinx.serialization.serializer @@ -22,14 +23,16 @@ fun interface Tool { ) inline fun toolOf(tool: Tool): ToolConfig { - val serializer = serializer() + val inputSerializer = serializer() val outputSerializer = serializer() - val toolSerializer = ToolSerializer(serializer, outputSerializer) - val fn = chatFunction(serializer.descriptor) + val toolSerializer = ToolSerializer(inputSerializer, outputSerializer) + val fn = chatFunction(inputSerializer.descriptor) + val fnName = tool::class.simpleName ?: error("unnamed class") + val fnDescription = defaultFunctionDescription(fnName) return ToolConfig( - fn.copy(name = tool::class.simpleName ?: error("unnamed class")), - toolSerializer, - tool + functionObject = fn.copy(name = fnName, description = fnDescription), + serializers = toolSerializer, + tool = tool ) } } diff --git a/core/src/commonTest/kotlin/com/xebia/functional/xef/assistants/ToolDescriptionTests.kt b/core/src/commonTest/kotlin/com/xebia/functional/xef/assistants/ToolDescriptionTests.kt new file mode 100644 index 000000000..370c9d3f5 --- /dev/null +++ b/core/src/commonTest/kotlin/com/xebia/functional/xef/assistants/ToolDescriptionTests.kt @@ -0,0 +1,28 @@ +package com.xebia.functional.xef.assistants + +import com.xebia.functional.xef.llm.assistants.Tool +import com.xebia.functional.xef.llm.defaultFunctionDescription +import io.kotest.core.spec.style.StringSpec +import io.kotest.matchers.shouldBe +import kotlinx.serialization.Serializable + +class ToolDescriptionTests : + StringSpec({ + "Tool has tool name and default description" { + val tool = TestTool() + val toolConfig = Tool.toolOf(tool) + val function = toolConfig.functionObject + val fnName = tool::class.simpleName ?: error("unnamed class") + function.name shouldBe fnName + function.description shouldBe defaultFunctionDescription(fnName) + } + }) { + + @Serializable data class Request(val input: String) + + @Serializable data class Response(val output: String = "Test response") + + class TestTool : Tool { + override suspend fun invoke(input: Request): Response = Response() + } +} From 30280d39f37861f681b06eae4292d2000e509ded Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Javier=20P=C3=A9rez=20Pacheco?= Date: Thu, 22 Aug 2024 17:25:00 +0200 Subject: [PATCH 21/29] Upgrade OpenAI 2.3.0 (#779) --- .../functional/xef/prompt/PromptBuilder.kt | 84 +- .../functional/xef/store/MemorizedMessage.kt | 13 +- .../xef/conversation/ConversationSpec.kt | 8 +- .../xebia/functional/xef/data/TestChatApi.kt | 1 + .../xebia/functional/xef/store/MemoryData.kt | 10 +- .../OpenTelemetryAssistantState.kt | 8 +- .../src/test/kotlin/xef/MemoryData.kt | 7 +- .../ResponseFormatJsonSchemaJsonSchema.kt | 28 + .../generator/.openapi-generator-ignore | 1 + openai-client/generator/config/api.mustache | 2 +- .../generator/config/openai-api-commit | 2 +- .../generator/config/openai-api.yaml | 30169 +++++++++------- 12 files changed, 17002 insertions(+), 13331 deletions(-) create mode 100644 openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/generated/model/ResponseFormatJsonSchemaJsonSchema.kt diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/PromptBuilder.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/PromptBuilder.kt index 3f90a791d..8c84cb218 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/PromptBuilder.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/prompt/PromptBuilder.kt @@ -88,7 +88,7 @@ interface PromptBuilder { ChatCompletionRequestMessage.CaseChatCompletionRequestAssistantMessage( ChatCompletionRequestAssistantMessage( role = ChatCompletionRequestAssistantMessage.Role.assistant, - content = value + content = ChatCompletionRequestAssistantMessageContent.CaseString(value) ) ) @@ -104,7 +104,7 @@ interface PromptBuilder { ChatCompletionRequestMessage.CaseChatCompletionRequestToolMessage( ChatCompletionRequestToolMessage( role = ChatCompletionRequestToolMessage.Role.tool, - content = value, + content = ChatCompletionRequestToolMessageContent.CaseString(value), toolCallId = toolCallId ) ) @@ -113,7 +113,7 @@ interface PromptBuilder { ChatCompletionRequestMessage.CaseChatCompletionRequestSystemMessage( ChatCompletionRequestSystemMessage( role = ChatCompletionRequestSystemMessage.Role.system, - content = value + content = ChatCompletionRequestSystemMessageContent.CaseString(value) ) ) @@ -122,24 +122,25 @@ interface PromptBuilder { ChatCompletionRequestUserMessage( role = ChatCompletionRequestUserMessage.Role.user, content = - ChatCompletionRequestUserMessageContent.CaseChatCompletionRequestMessageContentParts( - listOf( - ChatCompletionRequestMessageContentPart - .CaseChatCompletionRequestMessageContentPartImage( - ChatCompletionRequestMessageContentPartImage( - type = ChatCompletionRequestMessageContentPartImage.Type.image_url, - imageUrl = ChatCompletionRequestMessageContentPartImageImageUrl(url) + ChatCompletionRequestUserMessageContent + .CaseChatCompletionRequestUserMessageContentParts( + listOf( + ChatCompletionRequestUserMessageContentPart + .CaseChatCompletionRequestMessageContentPartImage( + ChatCompletionRequestMessageContentPartImage( + type = ChatCompletionRequestMessageContentPartImage.Type.image_url, + imageUrl = ChatCompletionRequestMessageContentPartImageImageUrl(url) + ) + ), + ChatCompletionRequestUserMessageContentPart + .CaseChatCompletionRequestMessageContentPartText( + ChatCompletionRequestMessageContentPartText( + type = ChatCompletionRequestMessageContentPartText.Type.text, + text = text + ) ) - ), - ChatCompletionRequestMessageContentPart - .CaseChatCompletionRequestMessageContentPartText( - ChatCompletionRequestMessageContentPartText( - type = ChatCompletionRequestMessageContentPartText.Type.text, - text = text - ) - ) + ) ) - ) ) ) } @@ -150,20 +151,53 @@ fun ChatCompletionRequestMessage.contentAsString(): String = is ChatCompletionRequestMessage.CaseChatCompletionRequestUserMessage -> when (val content = value.content) { is ChatCompletionRequestUserMessageContent.CaseString -> content.value - is ChatCompletionRequestUserMessageContent.CaseChatCompletionRequestMessageContentParts -> + is ChatCompletionRequestUserMessageContent.CaseChatCompletionRequestUserMessageContentParts -> content.value.joinToString { when (it) { - is ChatCompletionRequestMessageContentPart.CaseChatCompletionRequestMessageContentPartImage -> + is ChatCompletionRequestUserMessageContentPart.CaseChatCompletionRequestMessageContentPartImage -> it.value.imageUrl.url - is ChatCompletionRequestMessageContentPart.CaseChatCompletionRequestMessageContentPartText -> + is ChatCompletionRequestUserMessageContentPart.CaseChatCompletionRequestMessageContentPartText -> + it.value.text + } + } + } + is ChatCompletionRequestMessage.CaseChatCompletionRequestAssistantMessage -> + when (val content = value.content) { + is ChatCompletionRequestAssistantMessageContent.CaseString -> content.value + is ChatCompletionRequestAssistantMessageContent.CaseChatCompletionRequestAssistantMessageContentParts -> + content.value.joinToString { + when (it) { + is ChatCompletionRequestAssistantMessageContentPart.CaseChatCompletionRequestMessageContentPartText -> + it.value.text + is ChatCompletionRequestAssistantMessageContentPart.CaseChatCompletionRequestMessageContentPartRefusal -> + it.value.refusal + } + } + null -> "" + } + is ChatCompletionRequestMessage.CaseChatCompletionRequestToolMessage -> + when (val content = value.content) { + is ChatCompletionRequestToolMessageContent.CaseString -> content.value + is ChatCompletionRequestToolMessageContent.CaseChatCompletionRequestToolMessageContentParts -> + content.value.joinToString { + when (it) { + is ChatCompletionRequestToolMessageContentPart.CaseChatCompletionRequestMessageContentPartText -> it.value.text } } } - is ChatCompletionRequestMessage.CaseChatCompletionRequestAssistantMessage -> value.content ?: "" - is ChatCompletionRequestMessage.CaseChatCompletionRequestToolMessage -> value.content is ChatCompletionRequestMessage.CaseChatCompletionRequestFunctionMessage -> value.content ?: "" - is ChatCompletionRequestMessage.CaseChatCompletionRequestSystemMessage -> value.content + is ChatCompletionRequestMessage.CaseChatCompletionRequestSystemMessage -> + when (val content = value.content) { + is ChatCompletionRequestSystemMessageContent.CaseString -> content.value + is ChatCompletionRequestSystemMessageContent.CaseChatCompletionRequestSystemMessageContentParts -> + content.value.joinToString { + when (it) { + is ChatCompletionRequestSystemMessageContentPart.CaseChatCompletionRequestMessageContentPartText -> + it.value.text + } + } + } } internal fun ChatCompletionRequestMessage.completionRole(): ChatCompletionRole = diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/store/MemorizedMessage.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/store/MemorizedMessage.kt index 723690b45..e33671599 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/store/MemorizedMessage.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/store/MemorizedMessage.kt @@ -2,6 +2,7 @@ package com.xebia.functional.xef.store import com.xebia.functional.openai.generated.model.* import com.xebia.functional.xef.prompt.completionRole +import kotlinx.serialization.json.Json sealed class MemorizedMessage { val role: ChatCompletionRole @@ -19,7 +20,14 @@ sealed class MemorizedMessage { ChatCompletionRequestAssistantMessage( role = ChatCompletionRequestAssistantMessage.Role.assistant, // TODO: Find a new strategy to save the tool calls as content - content = message.content ?: message.toolCalls?.firstOrNull()?.toString() + content = + ChatCompletionRequestAssistantMessageContent.CaseString( + message.content + ?: message.toolCalls?.firstOrNull()?.let { + Json.Default.encodeToString(ChatCompletionMessageToolCall.serializer(), it) + } + ?: "" + ), ) ) } @@ -35,7 +43,7 @@ fun memorizedMessage(role: ChatCompletionRole, content: String): MemorizedMessag MemorizedMessage.Request( ChatCompletionRequestMessage.CaseChatCompletionRequestSystemMessage( ChatCompletionRequestSystemMessage( - content = content, + content = ChatCompletionRequestSystemMessageContent.CaseString(content), role = ChatCompletionRequestSystemMessage.Role.system ) ) @@ -53,6 +61,7 @@ fun memorizedMessage(role: ChatCompletionRole, content: String): MemorizedMessag MemorizedMessage.Response( ChatCompletionResponseMessage( content = content, + refusal = null, role = ChatCompletionResponseMessage.Role.assistant ) ) diff --git a/core/src/commonTest/kotlin/com/xebia/functional/xef/conversation/ConversationSpec.kt b/core/src/commonTest/kotlin/com/xebia/functional/xef/conversation/ConversationSpec.kt index e659386df..4a722b1c4 100644 --- a/core/src/commonTest/kotlin/com/xebia/functional/xef/conversation/ConversationSpec.kt +++ b/core/src/commonTest/kotlin/com/xebia/functional/xef/conversation/ConversationSpec.kt @@ -146,7 +146,7 @@ class ConversationSpec : val aiFirstMessage = ChatCompletionRequestAssistantMessage( role = ChatCompletionRequestAssistantMessage.Role.assistant, - content = firstResponse + content = ChatCompletionRequestAssistantMessageContent.CaseString(firstResponse) ) val secondPrompt = Prompt(model) { +user("question 3") } @@ -155,7 +155,7 @@ class ConversationSpec : val aiSecondMessage = ChatCompletionRequestAssistantMessage( role = ChatCompletionRequestAssistantMessage.Role.assistant, - content = secondResponse + content = ChatCompletionRequestAssistantMessageContent.CaseString(secondResponse) ) val thirdPrompt = @@ -168,7 +168,7 @@ class ConversationSpec : val aiThirdMessage = ChatCompletionRequestAssistantMessage( role = ChatCompletionRequestAssistantMessage.Role.assistant, - content = secondResponse + content = ChatCompletionRequestAssistantMessageContent.CaseString(secondResponse) ) val memories = vectorStore.memories(model, conversationId, 10000) @@ -424,7 +424,7 @@ private fun chatCompletionRequestMessages(it: Map.Entry) = ChatCompletionRequestMessage.CaseChatCompletionRequestAssistantMessage( ChatCompletionRequestAssistantMessage( role = ChatCompletionRequestAssistantMessage.Role.assistant, - content = it.value + content = ChatCompletionRequestAssistantMessageContent.CaseString(it.value) ) ), ) diff --git a/core/src/commonTest/kotlin/com/xebia/functional/xef/data/TestChatApi.kt b/core/src/commonTest/kotlin/com/xebia/functional/xef/data/TestChatApi.kt index 99d675727..10112cede 100644 --- a/core/src/commonTest/kotlin/com/xebia/functional/xef/data/TestChatApi.kt +++ b/core/src/commonTest/kotlin/com/xebia/functional/xef/data/TestChatApi.kt @@ -30,6 +30,7 @@ class TestChatApi(private val responses: Map = emptyMap()) : Cha content = responses[createChatCompletionRequest.messages.last().contentAsString()] ?: "fake-content", + refusal = null, toolCalls = listOf( ChatCompletionMessageToolCall( diff --git a/core/src/commonTest/kotlin/com/xebia/functional/xef/store/MemoryData.kt b/core/src/commonTest/kotlin/com/xebia/functional/xef/store/MemoryData.kt index fd6ed7f02..ad5e414d2 100644 --- a/core/src/commonTest/kotlin/com/xebia/functional/xef/store/MemoryData.kt +++ b/core/src/commonTest/kotlin/com/xebia/functional/xef/store/MemoryData.kt @@ -1,10 +1,7 @@ package com.xebia.functional.xef.store import arrow.atomic.AtomicInt -import com.xebia.functional.openai.generated.model.ChatCompletionRequestAssistantMessage -import com.xebia.functional.openai.generated.model.ChatCompletionRequestMessage -import com.xebia.functional.openai.generated.model.ChatCompletionRequestUserMessage -import com.xebia.functional.openai.generated.model.ChatCompletionRequestUserMessageContent +import com.xebia.functional.openai.generated.model.* class MemoryData { val defaultConversationId = ConversationId("default-id") @@ -28,7 +25,10 @@ class MemoryData { val m2 = ChatCompletionRequestAssistantMessage( role = ChatCompletionRequestAssistantMessage.Role.assistant, - content = "Response $it${append?.let { ": $it" } ?: ""}" + content = + ChatCompletionRequestAssistantMessageContent.CaseString( + "Response $it${append?.let { ": $it" } ?: ""}" + ) ) listOf( Memory( diff --git a/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryAssistantState.kt b/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryAssistantState.kt index 616c17a75..b09469240 100644 --- a/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryAssistantState.kt +++ b/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryAssistantState.kt @@ -192,14 +192,14 @@ class OpenTelemetryAssistantState(private val tracer: Tracer) { span.setAttribute("openai.assistant.message.id", id) status?.let { span.setAttribute("openai.assistant.message.status", it.name) } when (val inner = content.firstOrNull()) { - is MessageObjectContentInner.CaseMessageContentImageFileObject -> { + is MessageObjectContentInner.CaseMessageContentImageFileObject -> span.setAttribute("openai.assistant.message.content", inner.value.imageFile.fileId) - } - is MessageObjectContentInner.CaseMessageContentTextObject -> { + is MessageObjectContentInner.CaseMessageContentTextObject -> span.setAttribute("openai.assistant.message.content", inner.value.text.value) - } is MessageObjectContentInner.CaseMessageContentImageUrlObject -> span.setAttribute("openai.assistant.message.content", inner.value.imageUrl.url) + is MessageObjectContentInner.CaseMessageContentRefusalObject -> + span.setAttribute("openai.assistant.message.content", inner.value.refusal) null -> {} } } diff --git a/integrations/postgresql/src/test/kotlin/xef/MemoryData.kt b/integrations/postgresql/src/test/kotlin/xef/MemoryData.kt index 00e7a76b9..474d00c97 100644 --- a/integrations/postgresql/src/test/kotlin/xef/MemoryData.kt +++ b/integrations/postgresql/src/test/kotlin/xef/MemoryData.kt @@ -1,10 +1,7 @@ package xef import arrow.atomic.AtomicInt -import com.xebia.functional.openai.generated.model.ChatCompletionRequestAssistantMessage -import com.xebia.functional.openai.generated.model.ChatCompletionRequestMessage -import com.xebia.functional.openai.generated.model.ChatCompletionRequestUserMessage -import com.xebia.functional.openai.generated.model.ChatCompletionRequestUserMessageContent +import com.xebia.functional.openai.generated.model.* import com.xebia.functional.xef.store.ConversationId import com.xebia.functional.xef.store.MemorizedMessage import com.xebia.functional.xef.store.Memory @@ -29,7 +26,7 @@ class MemoryData { val m2 = ChatCompletionRequestMessage.CaseChatCompletionRequestAssistantMessage( ChatCompletionRequestAssistantMessage( role = ChatCompletionRequestAssistantMessage.Role.assistant, - content = "Answer $it${append?.let { ": $it" } ?: ""}" + content = ChatCompletionRequestAssistantMessageContent.CaseString("Answer $it${append?.let { ": $it" } ?: ""}") ) ) listOf( diff --git a/openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/generated/model/ResponseFormatJsonSchemaJsonSchema.kt b/openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/generated/model/ResponseFormatJsonSchemaJsonSchema.kt new file mode 100644 index 000000000..97aa73a4c --- /dev/null +++ b/openai-client/client/src/commonMain/kotlin/com/xebia/functional/openai/generated/model/ResponseFormatJsonSchemaJsonSchema.kt @@ -0,0 +1,28 @@ +package com.xebia.functional.openai.generated.model + +import kotlinx.serialization.SerialName +import kotlinx.serialization.Serializable +import kotlinx.serialization.json.* + +/** + * @param name The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and + * dashes, with a maximum length of 64. + * @param description A description of what the response format is for, used by the model to + * determine how to respond in the format. + * @param schema The schema for the response format, described as a JSON Schema object. + * @param strict Whether to enable strict schema adherence when generating the output. If set to + * true, the model will always follow the exact schema defined in the `schema` field. Only a + * subset of JSON Schema is supported when `strict` is `true`. To learn more, read the + * [Structured Outputs guide](/docs/guides/structured-outputs). + */ +@Serializable +data class ResponseFormatJsonSchemaJsonSchema( + /* The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. */ + @SerialName(value = "name") val name: kotlin.String, + /* A description of what the response format is for, used by the model to determine how to respond in the format. */ + @SerialName(value = "description") val description: kotlin.String? = null, + /* The schema for the response format, described as a JSON Schema object. */ + @SerialName(value = "schema") val schema: JsonObject? = null, + /* Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the `schema` field. Only a subset of JSON Schema is supported when `strict` is `true`. To learn more, read the [Structured Outputs guide](/docs/guides/structured-outputs). */ + @SerialName(value = "strict") val strict: kotlin.Boolean? = false +) {} diff --git a/openai-client/generator/.openapi-generator-ignore b/openai-client/generator/.openapi-generator-ignore index dc1bce6c5..a47a17a14 100644 --- a/openai-client/generator/.openapi-generator-ignore +++ b/openai-client/generator/.openapi-generator-ignore @@ -7,3 +7,4 @@ **/settings.gradle **/CreateAssistantRequestToolResourcesFileSearch.kt **/CreateThreadRequestToolResourcesFileSearch.kt +**/ResponseFormatJsonSchemaJsonSchema.kt diff --git a/openai-client/generator/config/api.mustache b/openai-client/generator/config/api.mustache index 0c18d55ef..3f9ec75b8 100644 --- a/openai-client/generator/config/api.mustache +++ b/openai-client/generator/config/api.mustache @@ -106,7 +106,7 @@ fun {{classname}}(client: HttpClient, config: Config): {{apiPackage}}.{{classnam {{/headerParams}} contentType(ContentType.Application.Json) {{#queryParams}} - parameter("{{baseName}}", {{#isContainer}}toMultiValue(this, "{{collectionFormat}}"){{/isContainer}}{{^isContainer}}{{{paramName}}}{{/isContainer}}) + parameter("{{baseName}}", {{#isContainer}}{{{paramName}}}{{/isContainer}}{{^isContainer}}{{{paramName}}}{{/isContainer}}) {{/queryParams}} url { path("{{#lambda.dropslash}}{{path}}{{/lambda.dropslash}}"{{#pathParams}}.replace("{" + "{{baseName}}" + "}", {{#isContainer}}{{paramName}}.joinToString(","){{/isContainer}}{{^isContainer}}"${{{paramName}}}"{{/isContainer}}){{/pathParams}}) } setBody({{#hasBodyParam}}{{#bodyParam}}{{#isArray}}{{operationIdCamelCase}}Request({{{paramName}}}{{^isList}}.asList(){{/isList}}){{/isArray}}{{^isArray}}{{#isMap}}{{operationIdCamelCase}}Request({{{paramName}}}){{/isMap}}{{^isMap}}{{{paramName}}}{{/isMap}}{{/isArray}}{{/bodyParam}}{{/hasBodyParam}} diff --git a/openai-client/generator/config/openai-api-commit b/openai-client/generator/config/openai-api-commit index 94b46cf74..8be3b583e 100644 --- a/openai-client/generator/config/openai-api-commit +++ b/openai-client/generator/config/openai-api-commit @@ -1 +1 @@ -df5699f5c48fe455d9d036198e77fdb637edee29 +3d5576596e5fe1cd3b88ddcd407dd1c5f3594f02 diff --git a/openai-client/generator/config/openai-api.yaml b/openai-client/generator/config/openai-api.yaml index 030518faf..08483efeb 100644 --- a/openai-client/generator/config/openai-api.yaml +++ b/openai-client/generator/config/openai-api.yaml @@ -1,13469 +1,17070 @@ openapi: 3.0.0 info: - title: OpenAI API - description: The OpenAI REST API. Please see https://platform.openai.com/docs/api-reference for more details. - version: "2.0.0" - termsOfService: https://openai.com/policies/terms-of-use - contact: - name: OpenAI Support - url: https://help.openai.com/ - license: - name: MIT - url: https://github.com/openai/openai-openapi/blob/master/LICENSE + title: OpenAI API + description: The OpenAI REST API. Please see https://platform.openai.com/docs/api-reference for more details. + version: "2.3.0" + termsOfService: https://openai.com/policies/terms-of-use + contact: + name: OpenAI Support + url: https://help.openai.com/ + license: + name: MIT + url: https://github.com/openai/openai-openapi/blob/master/LICENSE servers: - - url: https://api.openai.com/v1 + - url: https://api.openai.com/v1 tags: - - name: Assistants - description: Build Assistants that can call models and use tools. - - name: Audio - description: Learn how to turn audio into text or text into audio. - - name: Chat - description: Given a list of messages comprising a conversation, the model will return a response. - - name: Completions - description: Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position. - - name: Embeddings - description: Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. - - name: Fine-tuning - description: Manage fine-tuning jobs to tailor a model to your specific training data. - - name: Batch - description: Create large batches of API requests to run asynchronously. - - name: Files - description: Files are used to upload documents that can be used with features like Assistants and Fine-tuning. - - name: Images - description: Given a prompt and/or an input image, the model will generate a new image. - - name: Models - description: List and describe the various models available in the API. - - name: Moderations - description: Given a input text, outputs if the model classifies it as potentially harmful. + - name: Assistants + description: Build Assistants that can call models and use tools. + - name: Audio + description: Turn audio into text or text into audio. + - name: Chat + description: Given a list of messages comprising a conversation, the model will return a response. + - name: Completions + description: Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position. + - name: Embeddings + description: Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. + - name: Fine-tuning + description: Manage fine-tuning jobs to tailor a model to your specific training data. + - name: Batch + description: Create large batches of API requests to run asynchronously. + - name: Files + description: Files are used to upload documents that can be used with features like Assistants and Fine-tuning. + - name: Uploads + description: Use Uploads to upload large files in multiple parts. + - name: Images + description: Given a prompt and/or an input image, the model will generate a new image. + - name: Models + description: List and describe the various models available in the API. + - name: Moderations + description: Given a input text, outputs if the model classifies it as potentially harmful. + - name: Audit Logs + description: List user actions and configuration changes within this organization. paths: - # Note: When adding an endpoint, make sure you also add it in the `groups` section, in the end of this file, - # under the appropriate group - /chat/completions: - post: - operationId: createChatCompletion - tags: - - Chat - summary: Creates a model response for the given chat conversation. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/CreateChatCompletionRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/CreateChatCompletionResponse" - - x-oaiMeta: - name: Create chat completion - group: chat - returns: | - Returns a [chat completion](/docs/api-reference/chat/object) object, or a streamed sequence of [chat completion chunk](/docs/api-reference/chat/streaming) objects if the request is streamed. - path: create - examples: - - title: Default - request: - curl: | - curl https://api.openai.com/v1/chat/completions \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "model": "VAR_model_id", - "messages": [ - { - "role": "system", - "content": "You are a helpful assistant." - }, - { - "role": "user", - "content": "Hello!" - } - ] - }' - python: | - from openai import OpenAI - client = OpenAI() - - completion = client.chat.completions.create( - model="VAR_model_id", - messages=[ - {"role": "system", "content": "You are a helpful assistant."}, - {"role": "user", "content": "Hello!"} - ] - ) - - print(completion.choices[0].message) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const completion = await openai.chat.completions.create({ - messages: [{ role: "system", content: "You are a helpful assistant." }], - model: "VAR_model_id", - }); - - console.log(completion.choices[0]); - } - - main(); - response: &chat_completion_example | - { - "id": "chatcmpl-123", - "object": "chat.completion", - "created": 1677652288, - "model": "gpt-3.5-turbo-0125", - "system_fingerprint": "fp_44709d6fcb", - "choices": [{ - "index": 0, - "message": { - "role": "assistant", - "content": "\n\nHello there, how may I assist you today?", - }, - "logprobs": null, - "finish_reason": "stop" - }], - "usage": { - "prompt_tokens": 9, - "completion_tokens": 12, - "total_tokens": 21 - } - } - - title: Image input - request: - curl: | - curl https://api.openai.com/v1/chat/completions \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "model": "gpt-4-turbo", - "messages": [ - { - "role": "user", - "content": [ + # Note: When adding an endpoint, make sure you also add it in the `groups` section, in the end of this file, + # under the appropriate group + /chat/completions: + post: + operationId: createChatCompletion + tags: + - Chat + summary: Creates a model response for the given chat conversation. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateChatCompletionRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/CreateChatCompletionResponse" + + x-oaiMeta: + name: Create chat completion + group: chat + returns: | + Returns a [chat completion](/docs/api-reference/chat/object) object, or a streamed sequence of [chat completion chunk](/docs/api-reference/chat/streaming) objects if the request is streamed. + path: create + examples: + - title: Default + request: + curl: | + curl https://api.openai.com/v1/chat/completions \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -d '{ + "model": "VAR_model_id", + "messages": [ + { + "role": "system", + "content": "You are a helpful assistant." + }, + { + "role": "user", + "content": "Hello!" + } + ] + }' + python: | + from openai import OpenAI + client = OpenAI() + + completion = client.chat.completions.create( + model="VAR_model_id", + messages=[ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": "Hello!"} + ] + ) + + print(completion.choices[0].message) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const completion = await openai.chat.completions.create({ + messages: [{ role: "system", content: "You are a helpful assistant." }], + model: "VAR_model_id", + }); + + console.log(completion.choices[0]); + } + + main(); + response: &chat_completion_example | { - "type": "text", - "text": "What'\''s in this image?" - }, + "id": "chatcmpl-123", + "object": "chat.completion", + "created": 1677652288, + "model": "gpt-4o-mini", + "system_fingerprint": "fp_44709d6fcb", + "choices": [{ + "index": 0, + "message": { + "role": "assistant", + "content": "\n\nHello there, how may I assist you today?", + }, + "logprobs": null, + "finish_reason": "stop" + }], + "usage": { + "prompt_tokens": 9, + "completion_tokens": 12, + "total_tokens": 21 + } + } + - title: Image input + request: + curl: | + curl https://api.openai.com/v1/chat/completions \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -d '{ + "model": "gpt-4o", + "messages": [ + { + "role": "user", + "content": [ + { + "type": "text", + "text": "What'\''s in this image?" + }, + { + "type": "image_url", + "image_url": { + "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" + } + } + ] + } + ], + "max_tokens": 300 + }' + python: | + from openai import OpenAI + + client = OpenAI() + + response = client.chat.completions.create( + model="gpt-4o", + messages=[ + { + "role": "user", + "content": [ + {"type": "text", "text": "What's in this image?"}, + { + "type": "image_url", + "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", + }, + ], + } + ], + max_tokens=300, + ) + + print(response.choices[0]) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const response = await openai.chat.completions.create({ + model: "gpt-4o", + messages: [ + { + role: "user", + content: [ + { type: "text", text: "What's in this image?" }, + { + type: "image_url", + image_url: + "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", + }, + ], + }, + ], + }); + console.log(response.choices[0]); + } + main(); + response: &chat_completion_image_example | { - "type": "image_url", - "image_url": { - "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" + "id": "chatcmpl-123", + "object": "chat.completion", + "created": 1677652288, + "model": "gpt-4o-mini", + "system_fingerprint": "fp_44709d6fcb", + "choices": [{ + "index": 0, + "message": { + "role": "assistant", + "content": "\n\nThis image shows a wooden boardwalk extending through a lush green marshland.", + }, + "logprobs": null, + "finish_reason": "stop" + }], + "usage": { + "prompt_tokens": 9, + "completion_tokens": 12, + "total_tokens": 21 } } - ] - } - ], - "max_tokens": 300 - }' - python: | - from openai import OpenAI - - client = OpenAI() + - title: Streaming + request: + curl: | + curl https://api.openai.com/v1/chat/completions \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -d '{ + "model": "VAR_model_id", + "messages": [ + { + "role": "system", + "content": "You are a helpful assistant." + }, + { + "role": "user", + "content": "Hello!" + } + ], + "stream": true + }' + python: | + from openai import OpenAI + client = OpenAI() + + completion = client.chat.completions.create( + model="VAR_model_id", + messages=[ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": "Hello!"} + ], + stream=True + ) + + for chunk in completion: + print(chunk.choices[0].delta) + + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const completion = await openai.chat.completions.create({ + model: "VAR_model_id", + messages: [ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": "Hello!"} + ], + stream: true, + }); + + for await (const chunk of completion) { + console.log(chunk.choices[0].delta.content); + } + } - response = client.chat.completions.create( - model="gpt-4-turbo", - messages=[ - { - "role": "user", - "content": [ - {"type": "text", "text": "What's in this image?"}, + main(); + response: &chat_completion_chunk_example | + {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]} + + {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"content":"Hello"},"logprobs":null,"finish_reason":null}]} + + .... + + {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]} + - title: Functions + request: + curl: | + curl https://api.openai.com/v1/chat/completions \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -d '{ + "model": "gpt-4o", + "messages": [ + { + "role": "user", + "content": "What'\''s the weather like in Boston today?" + } + ], + "tools": [ + { + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA" + }, + "unit": { + "type": "string", + "enum": ["celsius", "fahrenheit"] + } + }, + "required": ["location"] + } + } + } + ], + "tool_choice": "auto" + }' + python: | + from openai import OpenAI + client = OpenAI() + + tools = [ { - "type": "image_url", - "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA", + }, + "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, + }, + "required": ["location"], + }, + } + } + ] + messages = [{"role": "user", "content": "What's the weather like in Boston today?"}] + completion = client.chat.completions.create( + model="VAR_model_id", + messages=messages, + tools=tools, + tool_choice="auto" + ) + + print(completion) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const messages = [{"role": "user", "content": "What's the weather like in Boston today?"}]; + const tools = [ + { + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA", + }, + "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, + }, + "required": ["location"], + }, + } + } + ]; + + const response = await openai.chat.completions.create({ + model: "gpt-4o", + messages: messages, + tools: tools, + tool_choice: "auto", + }); + + console.log(response); + } + + main(); + response: &chat_completion_function_example | + { + "id": "chatcmpl-abc123", + "object": "chat.completion", + "created": 1699896916, + "model": "gpt-4o-mini", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": null, + "tool_calls": [ + { + "id": "call_abc123", + "type": "function", + "function": { + "name": "get_current_weather", + "arguments": "{\n\"location\": \"Boston, MA\"\n}" + } + } + ] }, + "logprobs": null, + "finish_reason": "tool_calls" + } ], - } - ], - max_tokens=300, - ) - - print(response.choices[0]) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); + "usage": { + "prompt_tokens": 82, + "completion_tokens": 17, + "total_tokens": 99 + } + } + - title: Logprobs + request: + curl: | + curl https://api.openai.com/v1/chat/completions \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -d '{ + "model": "VAR_model_id", + "messages": [ + { + "role": "user", + "content": "Hello!" + } + ], + "logprobs": true, + "top_logprobs": 2 + }' + python: | + from openai import OpenAI + client = OpenAI() + + completion = client.chat.completions.create( + model="VAR_model_id", + messages=[ + {"role": "user", "content": "Hello!"} + ], + logprobs=True, + top_logprobs=2 + ) + + print(completion.choices[0].message) + print(completion.choices[0].logprobs) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const completion = await openai.chat.completions.create({ + messages: [{ role: "user", content: "Hello!" }], + model: "VAR_model_id", + logprobs: true, + top_logprobs: 2, + }); + + console.log(completion.choices[0]); + } - async function main() { - const response = await openai.chat.completions.create({ - model: "gpt-4-turbo", - messages: [ - { - role: "user", - content: [ - { type: "text", text: "What's in this image?" }, + main(); + response: | { - type: "image_url", - image_url: - "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", - }, - ], - }, - ], - }); - console.log(response.choices[0]); - } - main(); - response: &chat_completion_image_example | - { - "id": "chatcmpl-123", - "object": "chat.completion", - "created": 1677652288, - "model": "gpt-3.5-turbo-0125", - "system_fingerprint": "fp_44709d6fcb", - "choices": [{ - "index": 0, - "message": { - "role": "assistant", - "content": "\n\nThis image shows a wooden boardwalk extending through a lush green marshland.", - }, - "logprobs": null, - "finish_reason": "stop" - }], - "usage": { - "prompt_tokens": 9, - "completion_tokens": 12, - "total_tokens": 21 - } - } - - title: Streaming - request: - curl: | - curl https://api.openai.com/v1/chat/completions \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "model": "VAR_model_id", - "messages": [ - { - "role": "system", - "content": "You are a helpful assistant." - }, - { - "role": "user", - "content": "Hello!" - } - ], - "stream": true - }' - python: | - from openai import OpenAI - client = OpenAI() - - completion = client.chat.completions.create( - model="VAR_model_id", - messages=[ - {"role": "system", "content": "You are a helpful assistant."}, - {"role": "user", "content": "Hello!"} - ], - stream=True - ) - - for chunk in completion: - print(chunk.choices[0].delta) - - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const completion = await openai.chat.completions.create({ - model: "VAR_model_id", - messages: [ - {"role": "system", "content": "You are a helpful assistant."}, - {"role": "user", "content": "Hello!"} - ], - stream: true, - }); - - for await (const chunk of completion) { - console.log(chunk.choices[0].delta.content); - } - } - - main(); - response: &chat_completion_chunk_example | - {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0125", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]} - - {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0125", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"content":"Hello"},"logprobs":null,"finish_reason":null}]} - - .... - - {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0125", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]} - - title: Functions - request: - curl: | - curl https://api.openai.com/v1/chat/completions \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "model": "gpt-4-turbo", - "messages": [ - { - "role": "user", - "content": "What'\''s the weather like in Boston today?" - } - ], - "tools": [ - { - "type": "function", - "function": { - "name": "get_current_weather", - "description": "Get the current weather in a given location", - "parameters": { - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state, e.g. San Francisco, CA" + "id": "chatcmpl-123", + "object": "chat.completion", + "created": 1702685778, + "model": "gpt-4o-mini", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "Hello! How can I assist you today?" + }, + "logprobs": { + "content": [ + { + "token": "Hello", + "logprob": -0.31725305, + "bytes": [72, 101, 108, 108, 111], + "top_logprobs": [ + { + "token": "Hello", + "logprob": -0.31725305, + "bytes": [72, 101, 108, 108, 111] + }, + { + "token": "Hi", + "logprob": -1.3190403, + "bytes": [72, 105] + } + ] + }, + { + "token": "!", + "logprob": -0.02380986, + "bytes": [ + 33 + ], + "top_logprobs": [ + { + "token": "!", + "logprob": -0.02380986, + "bytes": [33] + }, + { + "token": " there", + "logprob": -3.787621, + "bytes": [32, 116, 104, 101, 114, 101] + } + ] + }, + { + "token": " How", + "logprob": -0.000054669687, + "bytes": [32, 72, 111, 119], + "top_logprobs": [ + { + "token": " How", + "logprob": -0.000054669687, + "bytes": [32, 72, 111, 119] + }, + { + "token": "<|end|>", + "logprob": -10.953937, + "bytes": null + } + ] + }, + { + "token": " can", + "logprob": -0.015801601, + "bytes": [32, 99, 97, 110], + "top_logprobs": [ + { + "token": " can", + "logprob": -0.015801601, + "bytes": [32, 99, 97, 110] + }, + { + "token": " may", + "logprob": -4.161023, + "bytes": [32, 109, 97, 121] + } + ] + }, + { + "token": " I", + "logprob": -3.7697225e-6, + "bytes": [ + 32, + 73 + ], + "top_logprobs": [ + { + "token": " I", + "logprob": -3.7697225e-6, + "bytes": [32, 73] + }, + { + "token": " assist", + "logprob": -13.596657, + "bytes": [32, 97, 115, 115, 105, 115, 116] + } + ] + }, + { + "token": " assist", + "logprob": -0.04571125, + "bytes": [32, 97, 115, 115, 105, 115, 116], + "top_logprobs": [ + { + "token": " assist", + "logprob": -0.04571125, + "bytes": [32, 97, 115, 115, 105, 115, 116] + }, + { + "token": " help", + "logprob": -3.1089056, + "bytes": [32, 104, 101, 108, 112] + } + ] + }, + { + "token": " you", + "logprob": -5.4385737e-6, + "bytes": [32, 121, 111, 117], + "top_logprobs": [ + { + "token": " you", + "logprob": -5.4385737e-6, + "bytes": [32, 121, 111, 117] + }, + { + "token": " today", + "logprob": -12.807695, + "bytes": [32, 116, 111, 100, 97, 121] + } + ] + }, + { + "token": " today", + "logprob": -0.0040071653, + "bytes": [32, 116, 111, 100, 97, 121], + "top_logprobs": [ + { + "token": " today", + "logprob": -0.0040071653, + "bytes": [32, 116, 111, 100, 97, 121] + }, + { + "token": "?", + "logprob": -5.5247097, + "bytes": [63] + } + ] + }, + { + "token": "?", + "logprob": -0.0008108172, + "bytes": [63], + "top_logprobs": [ + { + "token": "?", + "logprob": -0.0008108172, + "bytes": [63] + }, + { + "token": "?\n", + "logprob": -7.184561, + "bytes": [63, 10] + } + ] + } + ] + }, + "finish_reason": "stop" + } + ], + "usage": { + "prompt_tokens": 9, + "completion_tokens": 9, + "total_tokens": 18 }, - "unit": { - "type": "string", - "enum": ["celsius", "fahrenheit"] + "system_fingerprint": null + } + + /completions: + post: + operationId: createCompletion + tags: + - Completions + summary: Creates a completion for the provided prompt and parameters. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateCompletionRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/CreateCompletionResponse" + x-oaiMeta: + name: Create completion + group: completions + returns: | + Returns a [completion](/docs/api-reference/completions/object) object, or a sequence of completion objects if the request is streamed. + legacy: true + examples: + - title: No streaming + request: + curl: | + curl https://api.openai.com/v1/completions \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -d '{ + "model": "VAR_model_id", + "prompt": "Say this is a test", + "max_tokens": 7, + "temperature": 0 + }' + python: | + from openai import OpenAI + client = OpenAI() + + client.completions.create( + model="VAR_model_id", + prompt="Say this is a test", + max_tokens=7, + temperature=0 + ) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const completion = await openai.completions.create({ + model: "VAR_model_id", + prompt: "Say this is a test.", + max_tokens: 7, + temperature: 0, + }); + + console.log(completion); + } + main(); + response: | + { + "id": "cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7", + "object": "text_completion", + "created": 1589478378, + "model": "VAR_model_id", + "system_fingerprint": "fp_44709d6fcb", + "choices": [ + { + "text": "\n\nThis is indeed a test", + "index": 0, + "logprobs": null, + "finish_reason": "length" + } + ], + "usage": { + "prompt_tokens": 5, + "completion_tokens": 7, + "total_tokens": 12 } - }, - "required": ["location"] - } - } - } - ], - "tool_choice": "auto" - }' - python: | - from openai import OpenAI - client = OpenAI() - - tools = [ - { - "type": "function", - "function": { - "name": "get_current_weather", - "description": "Get the current weather in a given location", - "parameters": { - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state, e.g. San Francisco, CA", - }, - "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, - }, - "required": ["location"], - }, - } - } - ] - messages = [{"role": "user", "content": "What's the weather like in Boston today?"}] - completion = client.chat.completions.create( - model="VAR_model_id", - messages=messages, - tools=tools, - tool_choice="auto" - ) - - print(completion) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const messages = [{"role": "user", "content": "What's the weather like in Boston today?"}]; - const tools = [ - { - "type": "function", - "function": { - "name": "get_current_weather", - "description": "Get the current weather in a given location", - "parameters": { - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state, e.g. San Francisco, CA", - }, - "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, - }, - "required": ["location"], - }, - } - } - ]; - - const response = await openai.chat.completions.create({ - model: "gpt-4-turbo", - messages: messages, - tools: tools, - tool_choice: "auto", - }); - - console.log(response); - } - - main(); - response: &chat_completion_function_example | - { - "id": "chatcmpl-abc123", - "object": "chat.completion", - "created": 1699896916, - "model": "gpt-3.5-turbo-0125", - "choices": [ - { - "index": 0, - "message": { - "role": "assistant", - "content": null, - "tool_calls": [ - { - "id": "call_abc123", - "type": "function", - "function": { - "name": "get_current_weather", - "arguments": "{\n\"location\": \"Boston, MA\"\n}" } - } - ] - }, - "logprobs": null, - "finish_reason": "tool_calls" - } - ], - "usage": { - "prompt_tokens": 82, - "completion_tokens": 17, - "total_tokens": 99 - } - } - - title: Logprobs - request: - curl: | - curl https://api.openai.com/v1/chat/completions \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "model": "VAR_model_id", - "messages": [ - { - "role": "user", - "content": "Hello!" - } - ], - "logprobs": true, - "top_logprobs": 2 - }' - python: | - from openai import OpenAI - client = OpenAI() - - completion = client.chat.completions.create( - model="VAR_model_id", - messages=[ - {"role": "user", "content": "Hello!"} - ], - logprobs=True, - top_logprobs=2 - ) - - print(completion.choices[0].message) - print(completion.choices[0].logprobs) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const completion = await openai.chat.completions.create({ - messages: [{ role: "user", content: "Hello!" }], - model: "VAR_model_id", - logprobs: true, - top_logprobs: 2, - }); - - console.log(completion.choices[0]); - } - - main(); - response: | - { - "id": "chatcmpl-123", - "object": "chat.completion", - "created": 1702685778, - "model": "gpt-3.5-turbo-0125", - "choices": [ - { - "index": 0, - "message": { - "role": "assistant", - "content": "Hello! How can I assist you today?" - }, - "logprobs": { - "content": [ + - title: Streaming + request: + curl: | + curl https://api.openai.com/v1/completions \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -d '{ + "model": "VAR_model_id", + "prompt": "Say this is a test", + "max_tokens": 7, + "temperature": 0, + "stream": true + }' + python: | + from openai import OpenAI + client = OpenAI() + + for chunk in client.completions.create( + model="VAR_model_id", + prompt="Say this is a test", + max_tokens=7, + temperature=0, + stream=True + ): + print(chunk.choices[0].text) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const stream = await openai.completions.create({ + model: "VAR_model_id", + prompt: "Say this is a test.", + stream: true, + }); + + for await (const chunk of stream) { + console.log(chunk.choices[0].text) + } + } + main(); + response: | + { + "id": "cmpl-7iA7iJjj8V2zOkCGvWF2hAkDWBQZe", + "object": "text_completion", + "created": 1690759702, + "choices": [ + { + "text": "This", + "index": 0, + "logprobs": null, + "finish_reason": null + } + ], + "model": "gpt-3.5-turbo-instruct" + "system_fingerprint": "fp_44709d6fcb", + } + + /images/generations: + post: + operationId: createImage + tags: + - Images + summary: Creates an image given a prompt. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateImageRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ImagesResponse" + x-oaiMeta: + name: Create image + group: images + returns: Returns a list of [image](/docs/api-reference/images/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/images/generations \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -d '{ + "model": "dall-e-3", + "prompt": "A cute baby sea otter", + "n": 1, + "size": "1024x1024" + }' + python: | + from openai import OpenAI + client = OpenAI() + + client.images.generate( + model="dall-e-3", + prompt="A cute baby sea otter", + n=1, + size="1024x1024" + ) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const image = await openai.images.generate({ model: "dall-e-3", prompt: "A cute baby sea otter" }); + + console.log(image.data); + } + main(); + response: | { - "token": "Hello", - "logprob": -0.31725305, - "bytes": [72, 101, 108, 108, 111], - "top_logprobs": [ + "created": 1589478378, + "data": [ { - "token": "Hello", - "logprob": -0.31725305, - "bytes": [72, 101, 108, 108, 111] + "url": "https://..." }, { - "token": "Hi", - "logprob": -1.3190403, - "bytes": [72, 105] + "url": "https://..." } ] - }, + } + /images/edits: + post: + operationId: createImageEdit + tags: + - Images + summary: Creates an edited or extended image given an original image and a prompt. + requestBody: + required: true + content: + multipart/form-data: + schema: + $ref: "#/components/schemas/CreateImageEditRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ImagesResponse" + x-oaiMeta: + name: Create image edit + group: images + returns: Returns a list of [image](/docs/api-reference/images/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/images/edits \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -F image="@otter.png" \ + -F mask="@mask.png" \ + -F prompt="A cute baby sea otter wearing a beret" \ + -F n=2 \ + -F size="1024x1024" + python: | + from openai import OpenAI + client = OpenAI() + + client.images.edit( + image=open("otter.png", "rb"), + mask=open("mask.png", "rb"), + prompt="A cute baby sea otter wearing a beret", + n=2, + size="1024x1024" + ) + node.js: |- + import fs from "fs"; + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const image = await openai.images.edit({ + image: fs.createReadStream("otter.png"), + mask: fs.createReadStream("mask.png"), + prompt: "A cute baby sea otter wearing a beret", + }); + + console.log(image.data); + } + main(); + response: | { - "token": "!", - "logprob": -0.02380986, - "bytes": [ - 33 - ], - "top_logprobs": [ + "created": 1589478378, + "data": [ { - "token": "!", - "logprob": -0.02380986, - "bytes": [33] + "url": "https://..." }, { - "token": " there", - "logprob": -3.787621, - "bytes": [32, 116, 104, 101, 114, 101] + "url": "https://..." } ] - }, + } + /images/variations: + post: + operationId: createImageVariation + tags: + - Images + summary: Creates a variation of a given image. + requestBody: + required: true + content: + multipart/form-data: + schema: + $ref: "#/components/schemas/CreateImageVariationRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ImagesResponse" + x-oaiMeta: + name: Create image variation + group: images + returns: Returns a list of [image](/docs/api-reference/images/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/images/variations \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -F image="@otter.png" \ + -F n=2 \ + -F size="1024x1024" + python: | + from openai import OpenAI + client = OpenAI() + + response = client.images.create_variation( + image=open("image_edit_original.png", "rb"), + n=2, + size="1024x1024" + ) + node.js: |- + import fs from "fs"; + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const image = await openai.images.createVariation({ + image: fs.createReadStream("otter.png"), + }); + + console.log(image.data); + } + main(); + response: | { - "token": " How", - "logprob": -0.000054669687, - "bytes": [32, 72, 111, 119], - "top_logprobs": [ + "created": 1589478378, + "data": [ { - "token": " How", - "logprob": -0.000054669687, - "bytes": [32, 72, 111, 119] + "url": "https://..." }, { - "token": "<|end|>", - "logprob": -10.953937, - "bytes": null + "url": "https://..." } ] - }, + } + + /embeddings: + post: + operationId: createEmbedding + tags: + - Embeddings + summary: Creates an embedding vector representing the input text. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateEmbeddingRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/CreateEmbeddingResponse" + x-oaiMeta: + name: Create embeddings + group: embeddings + returns: A list of [embedding](/docs/api-reference/embeddings/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/embeddings \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "input": "The food was delicious and the waiter...", + "model": "text-embedding-ada-002", + "encoding_format": "float" + }' + python: | + from openai import OpenAI + client = OpenAI() + + client.embeddings.create( + model="text-embedding-ada-002", + input="The food was delicious and the waiter...", + encoding_format="float" + ) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const embedding = await openai.embeddings.create({ + model: "text-embedding-ada-002", + input: "The quick brown fox jumped over the lazy dog", + encoding_format: "float", + }); + + console.log(embedding); + } + + main(); + response: | { - "token": " can", - "logprob": -0.015801601, - "bytes": [32, 99, 97, 110], - "top_logprobs": [ - { - "token": " can", - "logprob": -0.015801601, - "bytes": [32, 99, 97, 110] - }, + "object": "list", + "data": [ { - "token": " may", - "logprob": -4.161023, - "bytes": [32, 109, 97, 121] + "object": "embedding", + "embedding": [ + 0.0023064255, + -0.009327292, + .... (1536 floats total for ada-002) + -0.0028842222, + ], + "index": 0 } - ] - }, - { - "token": " I", - "logprob": -3.7697225e-6, - "bytes": [ - 32, - 73 ], - "top_logprobs": [ - { - "token": " I", - "logprob": -3.7697225e-6, - "bytes": [32, 73] - }, - { - "token": " assist", - "logprob": -13.596657, - "bytes": [32, 97, 115, 115, 105, 115, 116] + "model": "text-embedding-ada-002", + "usage": { + "prompt_tokens": 8, + "total_tokens": 8 + } + } + + /audio/speech: + post: + operationId: createSpeech + tags: + - Audio + summary: Generates audio from the input text. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateSpeechRequest" + responses: + "200": + description: OK + headers: + Transfer-Encoding: + schema: + type: string + description: chunked + content: + application/octet-stream: + schema: + type: string + format: binary + x-oaiMeta: + name: Create speech + group: audio + returns: The audio file content. + examples: + request: + curl: | + curl https://api.openai.com/v1/audio/speech \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "model": "tts-1", + "input": "The quick brown fox jumped over the lazy dog.", + "voice": "alloy" + }' \ + --output speech.mp3 + python: | + from pathlib import Path + import openai + + speech_file_path = Path(__file__).parent / "speech.mp3" + response = openai.audio.speech.create( + model="tts-1", + voice="alloy", + input="The quick brown fox jumped over the lazy dog." + ) + response.stream_to_file(speech_file_path) + node: | + import fs from "fs"; + import path from "path"; + import OpenAI from "openai"; + + const openai = new OpenAI(); + + const speechFile = path.resolve("./speech.mp3"); + + async function main() { + const mp3 = await openai.audio.speech.create({ + model: "tts-1", + voice: "alloy", + input: "Today is a wonderful day to build something people love!", + }); + console.log(speechFile); + const buffer = Buffer.from(await mp3.arrayBuffer()); + await fs.promises.writeFile(speechFile, buffer); } - ] - }, + main(); + /audio/transcriptions: + post: + operationId: createTranscription + tags: + - Audio + summary: Transcribes audio into the input language. + requestBody: + required: true + content: + multipart/form-data: + schema: + $ref: "#/components/schemas/CreateTranscriptionRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + oneOf: + - $ref: "#/components/schemas/CreateTranscriptionResponseJson" + - $ref: "#/components/schemas/CreateTranscriptionResponseVerboseJson" + x-oaiMeta: + name: Create transcription + group: audio + returns: The [transcription object](/docs/api-reference/audio/json-object) or a [verbose transcription object](/docs/api-reference/audio/verbose-json-object). + examples: + - title: Default + request: + curl: | + curl https://api.openai.com/v1/audio/transcriptions \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: multipart/form-data" \ + -F file="@/path/to/file/audio.mp3" \ + -F model="whisper-1" + python: | + from openai import OpenAI + client = OpenAI() + + audio_file = open("speech.mp3", "rb") + transcript = client.audio.transcriptions.create( + model="whisper-1", + file=audio_file + ) + node: | + import fs from "fs"; + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const transcription = await openai.audio.transcriptions.create({ + file: fs.createReadStream("audio.mp3"), + model: "whisper-1", + }); + + console.log(transcription.text); + } + main(); + response: &basic_transcription_response_example | + { + "text": "Imagine the wildest idea that you've ever had, and you're curious about how it might scale to something that's a 100, a 1,000 times bigger. This is a place where you can get to do that." + } + - title: Word timestamps + request: + curl: | + curl https://api.openai.com/v1/audio/transcriptions \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: multipart/form-data" \ + -F file="@/path/to/file/audio.mp3" \ + -F "timestamp_granularities[]=word" \ + -F model="whisper-1" \ + -F response_format="verbose_json" + python: | + from openai import OpenAI + client = OpenAI() + + audio_file = open("speech.mp3", "rb") + transcript = client.audio.transcriptions.create( + file=audio_file, + model="whisper-1", + response_format="verbose_json", + timestamp_granularities=["word"] + ) + + print(transcript.words) + node: | + import fs from "fs"; + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const transcription = await openai.audio.transcriptions.create({ + file: fs.createReadStream("audio.mp3"), + model: "whisper-1", + response_format: "verbose_json", + timestamp_granularities: ["word"] + }); + + console.log(transcription.text); + } + main(); + response: | + { + "task": "transcribe", + "language": "english", + "duration": 8.470000267028809, + "text": "The beach was a popular spot on a hot summer day. People were swimming in the ocean, building sandcastles, and playing beach volleyball.", + "words": [ + { + "word": "The", + "start": 0.0, + "end": 0.23999999463558197 + }, + ... + { + "word": "volleyball", + "start": 7.400000095367432, + "end": 7.900000095367432 + } + ] + } + - title: Segment timestamps + request: + curl: | + curl https://api.openai.com/v1/audio/transcriptions \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: multipart/form-data" \ + -F file="@/path/to/file/audio.mp3" \ + -F "timestamp_granularities[]=segment" \ + -F model="whisper-1" \ + -F response_format="verbose_json" + python: | + from openai import OpenAI + client = OpenAI() + + audio_file = open("speech.mp3", "rb") + transcript = client.audio.transcriptions.create( + file=audio_file, + model="whisper-1", + response_format="verbose_json", + timestamp_granularities=["segment"] + ) + + print(transcript.words) + node: | + import fs from "fs"; + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const transcription = await openai.audio.transcriptions.create({ + file: fs.createReadStream("audio.mp3"), + model: "whisper-1", + response_format: "verbose_json", + timestamp_granularities: ["segment"] + }); + + console.log(transcription.text); + } + main(); + response: &verbose_transcription_response_example | + { + "task": "transcribe", + "language": "english", + "duration": 8.470000267028809, + "text": "The beach was a popular spot on a hot summer day. People were swimming in the ocean, building sandcastles, and playing beach volleyball.", + "segments": [ + { + "id": 0, + "seek": 0, + "start": 0.0, + "end": 3.319999933242798, + "text": " The beach was a popular spot on a hot summer day.", + "tokens": [ + 50364, 440, 7534, 390, 257, 3743, 4008, 322, 257, 2368, 4266, 786, 13, 50530 + ], + "temperature": 0.0, + "avg_logprob": -0.2860786020755768, + "compression_ratio": 1.2363636493682861, + "no_speech_prob": 0.00985979475080967 + }, + ... + ] + } + /audio/translations: + post: + operationId: createTranslation + tags: + - Audio + summary: Translates audio into English. + requestBody: + required: true + content: + multipart/form-data: + schema: + $ref: "#/components/schemas/CreateTranslationRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + oneOf: + - $ref: "#/components/schemas/CreateTranslationResponseJson" + - $ref: "#/components/schemas/CreateTranslationResponseVerboseJson" + x-oaiMeta: + name: Create translation + group: audio + returns: The translated text. + examples: + request: + curl: | + curl https://api.openai.com/v1/audio/translations \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: multipart/form-data" \ + -F file="@/path/to/file/german.m4a" \ + -F model="whisper-1" + python: | + from openai import OpenAI + client = OpenAI() + + audio_file = open("speech.mp3", "rb") + transcript = client.audio.translations.create( + model="whisper-1", + file=audio_file + ) + node: | + import fs from "fs"; + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const translation = await openai.audio.translations.create({ + file: fs.createReadStream("speech.mp3"), + model: "whisper-1", + }); + + console.log(translation.text); + } + main(); + response: | { - "token": " assist", - "logprob": -0.04571125, - "bytes": [32, 97, 115, 115, 105, 115, 116], - "top_logprobs": [ - { - "token": " assist", - "logprob": -0.04571125, - "bytes": [32, 97, 115, 115, 105, 115, 116] - }, - { - "token": " help", - "logprob": -3.1089056, - "bytes": [32, 104, 101, 108, 112] + "text": "Hello, my name is Wolfgang and I come from Germany. Where are you heading today?" + } + + /files: + get: + operationId: listFiles + tags: + - Files + summary: Returns a list of files that belong to the user's organization. + parameters: + - in: query + name: purpose + required: false + schema: + type: string + description: Only return files with the given purpose. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ListFilesResponse" + x-oaiMeta: + name: List files + group: files + returns: A list of [File](/docs/api-reference/files/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/files \ + -H "Authorization: Bearer $OPENAI_API_KEY" + python: | + from openai import OpenAI + client = OpenAI() + + client.files.list() + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const list = await openai.files.list(); + + for await (const file of list) { + console.log(file); + } } - ] - }, + + main(); + response: | { - "token": " you", - "logprob": -5.4385737e-6, - "bytes": [32, 121, 111, 117], - "top_logprobs": [ + "data": [ { - "token": " you", - "logprob": -5.4385737e-6, - "bytes": [32, 121, 111, 117] + "id": "file-abc123", + "object": "file", + "bytes": 175, + "created_at": 1613677385, + "filename": "salesOverview.pdf", + "purpose": "assistants", }, { - "token": " today", - "logprob": -12.807695, - "bytes": [32, 116, 111, 100, 97, 121] + "id": "file-abc123", + "object": "file", + "bytes": 140, + "created_at": 1613779121, + "filename": "puppy.jsonl", + "purpose": "fine-tune", } - ] - }, + ], + "object": "list" + } + post: + operationId: createFile + tags: + - Files + summary: | + Upload a file that can be used across various endpoints. Individual files can be up to 512 MB, and the size of all files uploaded by one organization can be up to 100 GB. + + The Assistants API supports files up to 2 million tokens and of specific file types. See the [Assistants Tools guide](/docs/assistants/tools) for details. + + The Fine-tuning API only supports `.jsonl` files. The input also has certain required formats for fine-tuning [chat](/docs/api-reference/fine-tuning/chat-input) or [completions](/docs/api-reference/fine-tuning/completions-input) models. + + The Batch API only supports `.jsonl` files up to 100 MB in size. The input also has a specific required [format](/docs/api-reference/batch/request-input). + + Please [contact us](https://help.openai.com/) if you need to increase these storage limits. + requestBody: + required: true + content: + multipart/form-data: + schema: + $ref: "#/components/schemas/CreateFileRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/OpenAIFile" + x-oaiMeta: + name: Upload file + group: files + returns: The uploaded [File](/docs/api-reference/files/object) object. + examples: + request: + curl: | + curl https://api.openai.com/v1/files \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -F purpose="fine-tune" \ + -F file="@mydata.jsonl" + python: | + from openai import OpenAI + client = OpenAI() + + client.files.create( + file=open("mydata.jsonl", "rb"), + purpose="fine-tune" + ) + node.js: |- + import fs from "fs"; + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const file = await openai.files.create({ + file: fs.createReadStream("mydata.jsonl"), + purpose: "fine-tune", + }); + + console.log(file); + } + + main(); + response: | + { + "id": "file-abc123", + "object": "file", + "bytes": 120000, + "created_at": 1677610602, + "filename": "mydata.jsonl", + "purpose": "fine-tune", + } + /files/{file_id}: + delete: + operationId: deleteFile + tags: + - Files + summary: Delete a file. + parameters: + - in: path + name: file_id + required: true + schema: + type: string + description: The ID of the file to use for this request. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/DeleteFileResponse" + x-oaiMeta: + name: Delete file + group: files + returns: Deletion status. + examples: + request: + curl: | + curl https://api.openai.com/v1/files/file-abc123 \ + -X DELETE \ + -H "Authorization: Bearer $OPENAI_API_KEY" + python: | + from openai import OpenAI + client = OpenAI() + + client.files.delete("file-abc123") + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const file = await openai.files.del("file-abc123"); + + console.log(file); + } + + main(); + response: | + { + "id": "file-abc123", + "object": "file", + "deleted": true + } + get: + operationId: retrieveFile + tags: + - Files + summary: Returns information about a specific file. + parameters: + - in: path + name: file_id + required: true + schema: + type: string + description: The ID of the file to use for this request. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/OpenAIFile" + x-oaiMeta: + name: Retrieve file + group: files + returns: The [File](/docs/api-reference/files/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/files/file-abc123 \ + -H "Authorization: Bearer $OPENAI_API_KEY" + python: | + from openai import OpenAI + client = OpenAI() + + client.files.retrieve("file-abc123") + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const file = await openai.files.retrieve("file-abc123"); + + console.log(file); + } + + main(); + response: | + { + "id": "file-abc123", + "object": "file", + "bytes": 120000, + "created_at": 1677610602, + "filename": "mydata.jsonl", + "purpose": "fine-tune", + } + /files/{file_id}/content: + get: + operationId: downloadFile + tags: + - Files + summary: Returns the contents of the specified file. + parameters: + - in: path + name: file_id + required: true + schema: + type: string + description: The ID of the file to use for this request. + responses: + "200": + description: OK + content: + application/json: + schema: + type: string + x-oaiMeta: + name: Retrieve file content + group: files + returns: The file content. + examples: + request: + curl: | + curl https://api.openai.com/v1/files/file-abc123/content \ + -H "Authorization: Bearer $OPENAI_API_KEY" > file.jsonl + python: | + from openai import OpenAI + client = OpenAI() + + content = client.files.content("file-abc123") + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const file = await openai.files.content("file-abc123"); + + console.log(file); + } + + main(); + /uploads: + post: + operationId: createUpload + tags: + - Uploads + summary: | + Creates an intermediate [Upload](/docs/api-reference/uploads/object) object that you can add [Parts](/docs/api-reference/uploads/part-object) to. Currently, an Upload can accept at most 8 GB in total and expires after an hour after you create it. + + Once you complete the Upload, we will create a [File](/docs/api-reference/files/object) object that contains all the parts you uploaded. This File is usable in the rest of our platform as a regular File object. + + For certain `purpose`s, the correct `mime_type` must be specified. Please refer to documentation for the supported MIME types for your use case: + - [Assistants](/docs/assistants/tools/file-search/supported-files) + + For guidance on the proper filename extensions for each purpose, please follow the documentation on [creating a File](/docs/api-reference/files/create). + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateUploadRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/Upload" + x-oaiMeta: + name: Create upload + group: uploads + returns: The [Upload](/docs/api-reference/uploads/object) object with status `pending`. + examples: + request: + curl: | + curl https://api.openai.com/v1/uploads \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -d '{ + "purpose": "fine-tune", + "filename": "training_examples.jsonl", + "bytes": 2147483648, + "mime_type": "text/jsonl" + }' + response: | + { + "id": "upload_abc123", + "object": "upload", + "bytes": 2147483648, + "created_at": 1719184911, + "filename": "training_examples.jsonl", + "purpose": "fine-tune", + "status": "pending", + "expires_at": 1719127296 + } + + /uploads/{upload_id}/parts: + post: + operationId: addUploadPart + tags: + - Uploads + summary: | + Adds a [Part](/docs/api-reference/uploads/part-object) to an [Upload](/docs/api-reference/uploads/object) object. A Part represents a chunk of bytes from the file you are trying to upload. + + Each Part can be at most 64 MB, and you can add Parts until you hit the Upload maximum of 8 GB. + + It is possible to add multiple Parts in parallel. You can decide the intended order of the Parts when you [complete the Upload](/docs/api-reference/uploads/complete). + parameters: + - in: path + name: upload_id + required: true + schema: + type: string + example: upload_abc123 + description: | + The ID of the Upload. + requestBody: + required: true + content: + multipart/form-data: + schema: + $ref: "#/components/schemas/AddUploadPartRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/UploadPart" + x-oaiMeta: + name: Add upload part + group: uploads + returns: The upload [Part](/docs/api-reference/uploads/part-object) object. + examples: + request: + curl: | + curl https://api.openai.com/v1/uploads/upload_abc123/parts + -F data="aHR0cHM6Ly9hcGkub3BlbmFpLmNvbS92MS91cGxvYWRz..." + response: | + { + "id": "part_def456", + "object": "upload.part", + "created_at": 1719185911, + "upload_id": "upload_abc123" + } + + /uploads/{upload_id}/complete: + post: + operationId: completeUpload + tags: + - Uploads + summary: | + Completes the [Upload](/docs/api-reference/uploads/object). + + Within the returned Upload object, there is a nested [File](/docs/api-reference/files/object) object that is ready to use in the rest of the platform. + + You can specify the order of the Parts by passing in an ordered list of the Part IDs. + + The number of bytes uploaded upon completion must match the number of bytes initially specified when creating the Upload object. No Parts may be added after an Upload is completed. + parameters: + - in: path + name: upload_id + required: true + schema: + type: string + example: upload_abc123 + description: | + The ID of the Upload. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CompleteUploadRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/Upload" + x-oaiMeta: + name: Complete upload + group: uploads + returns: The [Upload](/docs/api-reference/uploads/object) object with status `completed` with an additional `file` property containing the created usable File object. + examples: + request: + curl: | + curl https://api.openai.com/v1/uploads/upload_abc123/complete + -d '{ + "part_ids": ["part_def456", "part_ghi789"] + }' + response: | + { + "id": "upload_abc123", + "object": "upload", + "bytes": 2147483648, + "created_at": 1719184911, + "filename": "training_examples.jsonl", + "purpose": "fine-tune", + "status": "completed", + "expires_at": 1719127296, + "file": { + "id": "file-xyz321", + "object": "file", + "bytes": 2147483648, + "created_at": 1719186911, + "filename": "training_examples.jsonl", + "purpose": "fine-tune", + } + } + + /uploads/{upload_id}/cancel: + post: + operationId: cancelUpload + tags: + - Uploads + summary: | + Cancels the Upload. No Parts may be added after an Upload is cancelled. + parameters: + - in: path + name: upload_id + required: true + schema: + type: string + example: upload_abc123 + description: | + The ID of the Upload. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/Upload" + x-oaiMeta: + name: Cancel upload + group: uploads + returns: The [Upload](/docs/api-reference/uploads/object) object with status `cancelled`. + examples: + request: + curl: | + curl https://api.openai.com/v1/uploads/upload_abc123/cancel + response: | + { + "id": "upload_abc123", + "object": "upload", + "bytes": 2147483648, + "created_at": 1719184911, + "filename": "training_examples.jsonl", + "purpose": "fine-tune", + "status": "cancelled", + "expires_at": 1719127296 + } + + /fine_tuning/jobs: + post: + operationId: createFineTuningJob + tags: + - Fine-tuning + summary: | + Creates a fine-tuning job which begins the process of creating a new model from a given dataset. + + Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. + + [Learn more about fine-tuning](/docs/guides/fine-tuning) + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateFineTuningJobRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/FineTuningJob" + x-oaiMeta: + name: Create fine-tuning job + group: fine-tuning + returns: A [fine-tuning.job](/docs/api-reference/fine-tuning/object) object. + examples: + - title: Default + request: + curl: | + curl https://api.openai.com/v1/fine_tuning/jobs \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -d '{ + "training_file": "file-BK7bzQj3FfZFXr7DbL6xJwfo", + "model": "gpt-4o-mini" + }' + python: | + from openai import OpenAI + client = OpenAI() + + client.fine_tuning.jobs.create( + training_file="file-abc123", + model="gpt-4o-mini" + ) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const fineTune = await openai.fineTuning.jobs.create({ + training_file: "file-abc123" + }); + + console.log(fineTune); + } + + main(); + response: | + { + "object": "fine_tuning.job", + "id": "ftjob-abc123", + "model": "gpt-4o-mini-2024-07-18", + "created_at": 1721764800, + "fine_tuned_model": null, + "organization_id": "org-123", + "result_files": [], + "status": "queued", + "validation_file": null, + "training_file": "file-abc123", + } + - title: Epochs + request: + curl: | + curl https://api.openai.com/v1/fine_tuning/jobs \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -d '{ + "training_file": "file-abc123", + "model": "gpt-4o-mini", + "hyperparameters": { + "n_epochs": 2 + } + }' + python: | + from openai import OpenAI + client = OpenAI() + + client.fine_tuning.jobs.create( + training_file="file-abc123", + model="gpt-4o-mini", + hyperparameters={ + "n_epochs":2 + } + ) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const fineTune = await openai.fineTuning.jobs.create({ + training_file: "file-abc123", + model: "gpt-4o-mini", + hyperparameters: { n_epochs: 2 } + }); + + console.log(fineTune); + } + + main(); + response: | + { + "object": "fine_tuning.job", + "id": "ftjob-abc123", + "model": "gpt-4o-mini-2024-07-18", + "created_at": 1721764800, + "fine_tuned_model": null, + "organization_id": "org-123", + "result_files": [], + "status": "queued", + "validation_file": null, + "training_file": "file-abc123", + "hyperparameters": {"n_epochs": 2}, + } + - title: Validation file + request: + curl: | + curl https://api.openai.com/v1/fine_tuning/jobs \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -d '{ + "training_file": "file-abc123", + "validation_file": "file-abc123", + "model": "gpt-4o-mini" + }' + python: | + from openai import OpenAI + client = OpenAI() + + client.fine_tuning.jobs.create( + training_file="file-abc123", + validation_file="file-def456", + model="gpt-4o-mini" + ) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const fineTune = await openai.fineTuning.jobs.create({ + training_file: "file-abc123", + validation_file: "file-abc123" + }); + + console.log(fineTune); + } + + main(); + response: | + { + "object": "fine_tuning.job", + "id": "ftjob-abc123", + "model": "gpt-4o-mini-2024-07-18", + "created_at": 1721764800, + "fine_tuned_model": null, + "organization_id": "org-123", + "result_files": [], + "status": "queued", + "validation_file": "file-abc123", + "training_file": "file-abc123", + } + - title: W&B Integration + request: + curl: | + curl https://api.openai.com/v1/fine_tuning/jobs \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -d '{ + "training_file": "file-abc123", + "validation_file": "file-abc123", + "model": "gpt-4o-mini", + "integrations": [ + { + "type": "wandb", + "wandb": { + "project": "my-wandb-project", + "name": "ft-run-display-name" + "tags": [ + "first-experiment", "v2" + ] + } + } + ] + }' + response: | + { + "object": "fine_tuning.job", + "id": "ftjob-abc123", + "model": "gpt-4o-mini-2024-07-18", + "created_at": 1721764800, + "fine_tuned_model": null, + "organization_id": "org-123", + "result_files": [], + "status": "queued", + "validation_file": "file-abc123", + "training_file": "file-abc123", + "integrations": [ + { + "type": "wandb", + "wandb": { + "project": "my-wandb-project", + "entity": None, + "run_id": "ftjob-abc123" + } + } + ] + } + get: + operationId: listPaginatedFineTuningJobs + tags: + - Fine-tuning + summary: | + List your organization's fine-tuning jobs + parameters: + - name: after + in: query + description: Identifier for the last job from the previous pagination request. + required: false + schema: + type: string + - name: limit + in: query + description: Number of fine-tuning jobs to retrieve. + required: false + schema: + type: integer + default: 20 + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ListPaginatedFineTuningJobsResponse" + x-oaiMeta: + name: List fine-tuning jobs + group: fine-tuning + returns: A list of paginated [fine-tuning job](/docs/api-reference/fine-tuning/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/fine_tuning/jobs?limit=2 \ + -H "Authorization: Bearer $OPENAI_API_KEY" + python: | + from openai import OpenAI + client = OpenAI() + + client.fine_tuning.jobs.list() + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const list = await openai.fineTuning.jobs.list(); + + for await (const fineTune of list) { + console.log(fineTune); + } + } + + main(); + response: | { - "token": " today", - "logprob": -0.0040071653, - "bytes": [32, 116, 111, 100, 97, 121], - "top_logprobs": [ + "object": "list", + "data": [ { - "token": " today", - "logprob": -0.0040071653, - "bytes": [32, 116, 111, 100, 97, 121] + "object": "fine_tuning.job.event", + "id": "ft-event-TjX0lMfOniCZX64t9PUQT5hn", + "created_at": 1689813489, + "level": "warn", + "message": "Fine tuning process stopping due to job cancellation", + "data": null, + "type": "message" }, - { - "token": "?", - "logprob": -5.5247097, - "bytes": [63] + { ... }, + { ... } + ], "has_more": true + } + /fine_tuning/jobs/{fine_tuning_job_id}: + get: + operationId: retrieveFineTuningJob + tags: + - Fine-tuning + summary: | + Get info about a fine-tuning job. + + [Learn more about fine-tuning](/docs/guides/fine-tuning) + parameters: + - in: path + name: fine_tuning_job_id + required: true + schema: + type: string + example: ft-AF1WoRqd3aJAHsqc9NY7iL8F + description: | + The ID of the fine-tuning job. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/FineTuningJob" + x-oaiMeta: + name: Retrieve fine-tuning job + group: fine-tuning + returns: The [fine-tuning](/docs/api-reference/fine-tuning/object) object with the given ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/fine_tuning/jobs/ft-AF1WoRqd3aJAHsqc9NY7iL8F \ + -H "Authorization: Bearer $OPENAI_API_KEY" + python: | + from openai import OpenAI + client = OpenAI() + + client.fine_tuning.jobs.retrieve("ftjob-abc123") + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const fineTune = await openai.fineTuning.jobs.retrieve("ftjob-abc123"); + + console.log(fineTune); } - ] - }, + + main(); + response: &fine_tuning_example | + { + "object": "fine_tuning.job", + "id": "ftjob-abc123", + "model": "davinci-002", + "created_at": 1692661014, + "finished_at": 1692661190, + "fine_tuned_model": "ft:davinci-002:my-org:custom_suffix:7q8mpxmy", + "organization_id": "org-123", + "result_files": [ + "file-abc123" + ], + "status": "succeeded", + "validation_file": null, + "training_file": "file-abc123", + "hyperparameters": { + "n_epochs": 4, + "batch_size": 1, + "learning_rate_multiplier": 1.0 + }, + "trained_tokens": 5768, + "integrations": [], + "seed": 0, + "estimated_finish": 0 + } + /fine_tuning/jobs/{fine_tuning_job_id}/events: + get: + operationId: listFineTuningEvents + tags: + - Fine-tuning + summary: | + Get status updates for a fine-tuning job. + parameters: + - in: path + name: fine_tuning_job_id + required: true + schema: + type: string + example: ft-AF1WoRqd3aJAHsqc9NY7iL8F + description: | + The ID of the fine-tuning job to get events for. + - name: after + in: query + description: Identifier for the last event from the previous pagination request. + required: false + schema: + type: string + - name: limit + in: query + description: Number of events to retrieve. + required: false + schema: + type: integer + default: 20 + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ListFineTuningJobEventsResponse" + x-oaiMeta: + name: List fine-tuning events + group: fine-tuning + returns: A list of fine-tuning event objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/fine_tuning/jobs/ftjob-abc123/events \ + -H "Authorization: Bearer $OPENAI_API_KEY" + python: | + from openai import OpenAI + client = OpenAI() + + client.fine_tuning.jobs.list_events( + fine_tuning_job_id="ftjob-abc123", + limit=2 + ) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const list = await openai.fineTuning.list_events(id="ftjob-abc123", limit=2); + + for await (const fineTune of list) { + console.log(fineTune); + } + } + + main(); + response: | { - "token": "?", - "logprob": -0.0008108172, - "bytes": [63], - "top_logprobs": [ + "object": "list", + "data": [ { - "token": "?", - "logprob": -0.0008108172, - "bytes": [63] + "object": "fine_tuning.job.event", + "id": "ft-event-ddTJfwuMVpfLXseO0Am0Gqjm", + "created_at": 1721764800, + "level": "info", + "message": "Fine tuning job successfully completed", + "data": null, + "type": "message" }, { - "token": "?\n", - "logprob": -7.184561, - "bytes": [63, 10] + "object": "fine_tuning.job.event", + "id": "ft-event-tyiGuB72evQncpH87xe505Sv", + "created_at": 1721764800, + "level": "info", + "message": "New fine-tuned model created: ft:gpt-4o-mini:openai::7p4lURel", + "data": null, + "type": "message" } - ] + ], + "has_more": true } - ] - }, - "finish_reason": "stop" - } - ], - "usage": { - "prompt_tokens": 9, - "completion_tokens": 9, - "total_tokens": 18 - }, - "system_fingerprint": null - } - - /completions: - post: - operationId: createCompletion - tags: - - Completions - summary: Creates a completion for the provided prompt and parameters. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/CreateCompletionRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/CreateCompletionResponse" - x-oaiMeta: - name: Create completion - group: completions - returns: | - Returns a [completion](/docs/api-reference/completions/object) object, or a sequence of completion objects if the request is streamed. - legacy: true - examples: - - title: No streaming - request: - curl: | - curl https://api.openai.com/v1/completions \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "model": "VAR_model_id", - "prompt": "Say this is a test", - "max_tokens": 7, - "temperature": 0 - }' - python: | - from openai import OpenAI - client = OpenAI() - - client.completions.create( - model="VAR_model_id", - prompt="Say this is a test", - max_tokens=7, - temperature=0 - ) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const completion = await openai.completions.create({ - model: "VAR_model_id", - prompt: "Say this is a test.", - max_tokens: 7, - temperature: 0, - }); - - console.log(completion); - } - main(); - response: | - { - "id": "cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7", - "object": "text_completion", - "created": 1589478378, - "model": "VAR_model_id", - "system_fingerprint": "fp_44709d6fcb", - "choices": [ - { - "text": "\n\nThis is indeed a test", - "index": 0, - "logprobs": null, - "finish_reason": "length" - } - ], - "usage": { - "prompt_tokens": 5, - "completion_tokens": 7, - "total_tokens": 12 - } - } - - title: Streaming - request: - curl: | - curl https://api.openai.com/v1/completions \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "model": "VAR_model_id", - "prompt": "Say this is a test", - "max_tokens": 7, - "temperature": 0, - "stream": true - }' - python: | - from openai import OpenAI - client = OpenAI() - - for chunk in client.completions.create( - model="VAR_model_id", - prompt="Say this is a test", - max_tokens=7, - temperature=0, - stream=True - ): - print(chunk.choices[0].text) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const stream = await openai.completions.create({ - model: "VAR_model_id", - prompt: "Say this is a test.", - stream: true, - }); - - for await (const chunk of stream) { - console.log(chunk.choices[0].text) - } - } - main(); - response: | - { - "id": "cmpl-7iA7iJjj8V2zOkCGvWF2hAkDWBQZe", - "object": "text_completion", - "created": 1690759702, - "choices": [ - { - "text": "This", - "index": 0, - "logprobs": null, - "finish_reason": null - } - ], - "model": "gpt-3.5-turbo-instruct" - "system_fingerprint": "fp_44709d6fcb", - } - - /images/generations: - post: - operationId: createImage - tags: - - Images - summary: Creates an image given a prompt. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/CreateImageRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ImagesResponse" - x-oaiMeta: - name: Create image - group: images - returns: Returns a list of [image](/docs/api-reference/images/object) objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/images/generations \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "model": "dall-e-3", - "prompt": "A cute baby sea otter", - "n": 1, - "size": "1024x1024" - }' - python: | - from openai import OpenAI - client = OpenAI() - - client.images.generate( - model="dall-e-3", - prompt="A cute baby sea otter", - n=1, - size="1024x1024" - ) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const image = await openai.images.generate({ model: "dall-e-3", prompt: "A cute baby sea otter" }); - - console.log(image.data); - } - main(); - response: | - { - "created": 1589478378, - "data": [ - { - "url": "https://..." - }, - { - "url": "https://..." - } - ] - } - /images/edits: - post: - operationId: createImageEdit - tags: - - Images - summary: Creates an edited or extended image given an original image and a prompt. - requestBody: - required: true - content: - multipart/form-data: - schema: - $ref: "#/components/schemas/CreateImageEditRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ImagesResponse" - x-oaiMeta: - name: Create image edit - group: images - returns: Returns a list of [image](/docs/api-reference/images/object) objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/images/edits \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -F image="@otter.png" \ - -F mask="@mask.png" \ - -F prompt="A cute baby sea otter wearing a beret" \ - -F n=2 \ - -F size="1024x1024" - python: | - from openai import OpenAI - client = OpenAI() - - client.images.edit( - image=open("otter.png", "rb"), - mask=open("mask.png", "rb"), - prompt="A cute baby sea otter wearing a beret", - n=2, - size="1024x1024" - ) - node.js: |- - import fs from "fs"; - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const image = await openai.images.edit({ - image: fs.createReadStream("otter.png"), - mask: fs.createReadStream("mask.png"), - prompt: "A cute baby sea otter wearing a beret", - }); - - console.log(image.data); - } - main(); - response: | - { - "created": 1589478378, - "data": [ - { - "url": "https://..." - }, - { - "url": "https://..." - } - ] - } - /images/variations: - post: - operationId: createImageVariation - tags: - - Images - summary: Creates a variation of a given image. - requestBody: - required: true - content: - multipart/form-data: - schema: - $ref: "#/components/schemas/CreateImageVariationRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ImagesResponse" - x-oaiMeta: - name: Create image variation - group: images - returns: Returns a list of [image](/docs/api-reference/images/object) objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/images/variations \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -F image="@otter.png" \ - -F n=2 \ - -F size="1024x1024" - python: | - from openai import OpenAI - client = OpenAI() - - response = client.images.create_variation( - image=open("image_edit_original.png", "rb"), - n=2, - size="1024x1024" - ) - node.js: |- - import fs from "fs"; - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const image = await openai.images.createVariation({ - image: fs.createReadStream("otter.png"), - }); - - console.log(image.data); - } - main(); - response: | - { - "created": 1589478378, - "data": [ - { - "url": "https://..." - }, - { - "url": "https://..." - } - ] - } - - /embeddings: - post: - operationId: createEmbedding - tags: - - Embeddings - summary: Creates an embedding vector representing the input text. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/CreateEmbeddingRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/CreateEmbeddingResponse" - x-oaiMeta: - name: Create embeddings - group: embeddings - returns: A list of [embedding](/docs/api-reference/embeddings/object) objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/embeddings \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -d '{ - "input": "The food was delicious and the waiter...", - "model": "text-embedding-ada-002", - "encoding_format": "float" - }' - python: | - from openai import OpenAI - client = OpenAI() - - client.embeddings.create( - model="text-embedding-ada-002", - input="The food was delicious and the waiter...", - encoding_format="float" - ) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const embedding = await openai.embeddings.create({ - model: "text-embedding-ada-002", - input: "The quick brown fox jumped over the lazy dog", - encoding_format: "float", - }); - - console.log(embedding); - } - - main(); - response: | - { - "object": "list", - "data": [ - { - "object": "embedding", - "embedding": [ - 0.0023064255, - -0.009327292, - .... (1536 floats total for ada-002) - -0.0028842222, - ], - "index": 0 - } - ], - "model": "text-embedding-ada-002", - "usage": { - "prompt_tokens": 8, - "total_tokens": 8 - } - } - - /audio/speech: - post: - operationId: createSpeech - tags: - - Audio - summary: Generates audio from the input text. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/CreateSpeechRequest" - responses: - "200": - description: OK - headers: - Transfer-Encoding: - schema: - type: string - description: chunked - content: - application/octet-stream: - schema: - type: string - format: binary - x-oaiMeta: - name: Create speech - group: audio - returns: The audio file content. - examples: - request: - curl: | - curl https://api.openai.com/v1/audio/speech \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -d '{ - "model": "tts-1", - "input": "The quick brown fox jumped over the lazy dog.", - "voice": "alloy" - }' \ - --output speech.mp3 - python: | - from pathlib import Path - import openai - - speech_file_path = Path(__file__).parent / "speech.mp3" - response = openai.audio.speech.create( - model="tts-1", - voice="alloy", - input="The quick brown fox jumped over the lazy dog." - ) - response.stream_to_file(speech_file_path) - node: | - import fs from "fs"; - import path from "path"; - import OpenAI from "openai"; - - const openai = new OpenAI(); - - const speechFile = path.resolve("./speech.mp3"); - - async function main() { - const mp3 = await openai.audio.speech.create({ - model: "tts-1", - voice: "alloy", - input: "Today is a wonderful day to build something people love!", - }); - console.log(speechFile); - const buffer = Buffer.from(await mp3.arrayBuffer()); - await fs.promises.writeFile(speechFile, buffer); - } - main(); - /audio/transcriptions: - post: - operationId: createTranscription - tags: - - Audio - summary: Transcribes audio into the input language. - requestBody: - required: true - content: - multipart/form-data: - schema: - $ref: "#/components/schemas/CreateTranscriptionRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - oneOf: - - $ref: "#/components/schemas/CreateTranscriptionResponseJson" - - $ref: "#/components/schemas/CreateTranscriptionResponseVerboseJson" - x-oaiMeta: - name: Create transcription - group: audio - returns: The [transcription object](/docs/api-reference/audio/json-object) or a [verbose transcription object](/docs/api-reference/audio/verbose-json-object). - examples: - - title: Default - request: - curl: | - curl https://api.openai.com/v1/audio/transcriptions \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: multipart/form-data" \ - -F file="@/path/to/file/audio.mp3" \ - -F model="whisper-1" - python: | - from openai import OpenAI - client = OpenAI() - - audio_file = open("speech.mp3", "rb") - transcript = client.audio.transcriptions.create( - model="whisper-1", - file=audio_file - ) - node: | - import fs from "fs"; - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const transcription = await openai.audio.transcriptions.create({ - file: fs.createReadStream("audio.mp3"), - model: "whisper-1", - }); - - console.log(transcription.text); - } - main(); - response: &basic_transcription_response_example | - { - "text": "Imagine the wildest idea that you've ever had, and you're curious about how it might scale to something that's a 100, a 1,000 times bigger. This is a place where you can get to do that." - } - - title: Word timestamps - request: - curl: | - curl https://api.openai.com/v1/audio/transcriptions \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: multipart/form-data" \ - -F file="@/path/to/file/audio.mp3" \ - -F "timestamp_granularities[]=word" \ - -F model="whisper-1" \ - -F response_format="verbose_json" - python: | - from openai import OpenAI - client = OpenAI() - - audio_file = open("speech.mp3", "rb") - transcript = client.audio.transcriptions.create( - file=audio_file, - model="whisper-1", - response_format="verbose_json", - timestamp_granularities=["word"] - ) - - print(transcript.words) - node: | - import fs from "fs"; - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const transcription = await openai.audio.transcriptions.create({ - file: fs.createReadStream("audio.mp3"), - model: "whisper-1", - response_format: "verbose_json", - timestamp_granularities: ["word"] - }); - - console.log(transcription.text); - } - main(); - response: | - { - "task": "transcribe", - "language": "english", - "duration": 8.470000267028809, - "text": "The beach was a popular spot on a hot summer day. People were swimming in the ocean, building sandcastles, and playing beach volleyball.", - "words": [ - { - "word": "The", - "start": 0.0, - "end": 0.23999999463558197 - }, - ... - { - "word": "volleyball", - "start": 7.400000095367432, - "end": 7.900000095367432 - } - ] - } - - title: Segment timestamps - request: - curl: | - curl https://api.openai.com/v1/audio/transcriptions \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: multipart/form-data" \ - -F file="@/path/to/file/audio.mp3" \ - -F "timestamp_granularities[]=segment" \ - -F model="whisper-1" \ - -F response_format="verbose_json" - python: | - from openai import OpenAI - client = OpenAI() - - audio_file = open("speech.mp3", "rb") - transcript = client.audio.transcriptions.create( - file=audio_file, - model="whisper-1", - response_format="verbose_json", - timestamp_granularities=["segment"] - ) - - print(transcript.words) - node: | - import fs from "fs"; - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const transcription = await openai.audio.transcriptions.create({ - file: fs.createReadStream("audio.mp3"), - model: "whisper-1", - response_format: "verbose_json", - timestamp_granularities: ["segment"] - }); - - console.log(transcription.text); - } - main(); - response: &verbose_transcription_response_example | - { - "task": "transcribe", - "language": "english", - "duration": 8.470000267028809, - "text": "The beach was a popular spot on a hot summer day. People were swimming in the ocean, building sandcastles, and playing beach volleyball.", - "segments": [ - { - "id": 0, - "seek": 0, - "start": 0.0, - "end": 3.319999933242798, - "text": " The beach was a popular spot on a hot summer day.", - "tokens": [ - 50364, 440, 7534, 390, 257, 3743, 4008, 322, 257, 2368, 4266, 786, 13, 50530 - ], - "temperature": 0.0, - "avg_logprob": -0.2860786020755768, - "compression_ratio": 1.2363636493682861, - "no_speech_prob": 0.00985979475080967 - }, - ... - ] - } - /audio/translations: - post: - operationId: createTranslation - tags: - - Audio - summary: Translates audio into English. - requestBody: - required: true - content: - multipart/form-data: - schema: - $ref: "#/components/schemas/CreateTranslationRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - oneOf: - - $ref: "#/components/schemas/CreateTranslationResponseJson" - - $ref: "#/components/schemas/CreateTranslationResponseVerboseJson" - x-oaiMeta: - name: Create translation - group: audio - returns: The translated text. - examples: - request: - curl: | - curl https://api.openai.com/v1/audio/translations \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: multipart/form-data" \ - -F file="@/path/to/file/german.m4a" \ - -F model="whisper-1" - python: | - from openai import OpenAI - client = OpenAI() - - audio_file = open("speech.mp3", "rb") - transcript = client.audio.translations.create( - model="whisper-1", - file=audio_file - ) - node: | - import fs from "fs"; - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const translation = await openai.audio.translations.create({ - file: fs.createReadStream("speech.mp3"), - model: "whisper-1", - }); - - console.log(translation.text); - } - main(); - response: | - { - "text": "Hello, my name is Wolfgang and I come from Germany. Where are you heading today?" - } - - /files: - get: - operationId: listFiles - tags: - - Files - summary: Returns a list of files that belong to the user's organization. - parameters: - - in: query - name: purpose - required: false - schema: - type: string - description: Only return files with the given purpose. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ListFilesResponse" - x-oaiMeta: - name: List files - group: files - returns: A list of [File](/docs/api-reference/files/object) objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/files \ - -H "Authorization: Bearer $OPENAI_API_KEY" - python: | - from openai import OpenAI - client = OpenAI() - - client.files.list() - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const list = await openai.files.list(); - - for await (const file of list) { - console.log(file); - } - } - - main(); - response: | - { - "data": [ - { - "id": "file-abc123", - "object": "file", - "bytes": 175, - "created_at": 1613677385, - "filename": "salesOverview.pdf", - "purpose": "assistants", - }, - { - "id": "file-abc123", - "object": "file", - "bytes": 140, - "created_at": 1613779121, - "filename": "puppy.jsonl", - "purpose": "fine-tune", - } - ], - "object": "list" - } - post: - operationId: createFile - tags: - - Files - summary: | - Upload a file that can be used across various endpoints. Individual files can be up to 512 MB, and the size of all files uploaded by one organization can be up to 100 GB. - - The Assistants API supports files up to 2 million tokens and of specific file types. See the [Assistants Tools guide](/docs/assistants/tools) for details. - - The Fine-tuning API only supports `.jsonl` files. - - The Batch API only supports `.jsonl` files up to 100 MB in size. - - Please [contact us](https://help.openai.com/) if you need to increase these storage limits. - requestBody: - required: true - content: - multipart/form-data: - schema: - $ref: "#/components/schemas/CreateFileRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/OpenAIFile" - x-oaiMeta: - name: Upload file - group: files - returns: The uploaded [File](/docs/api-reference/files/object) object. - examples: - request: - curl: | - curl https://api.openai.com/v1/files \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -F purpose="fine-tune" \ - -F file="@mydata.jsonl" - python: | - from openai import OpenAI - client = OpenAI() - - client.files.create( - file=open("mydata.jsonl", "rb"), - purpose="fine-tune" - ) - node.js: |- - import fs from "fs"; - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const file = await openai.files.create({ - file: fs.createReadStream("mydata.jsonl"), - purpose: "fine-tune", - }); - - console.log(file); - } - - main(); - response: | - { - "id": "file-abc123", - "object": "file", - "bytes": 120000, - "created_at": 1677610602, - "filename": "mydata.jsonl", - "purpose": "fine-tune", - } - /files/{file_id}: - delete: - operationId: deleteFile - tags: - - Files - summary: Delete a file. - parameters: - - in: path - name: file_id - required: true - schema: - type: string - description: The ID of the file to use for this request. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/DeleteFileResponse" - x-oaiMeta: - name: Delete file - group: files - returns: Deletion status. - examples: - request: - curl: | - curl https://api.openai.com/v1/files/file-abc123 \ - -X DELETE \ - -H "Authorization: Bearer $OPENAI_API_KEY" - python: | - from openai import OpenAI - client = OpenAI() - - client.files.delete("file-abc123") - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const file = await openai.files.del("file-abc123"); - - console.log(file); - } - - main(); - response: | - { - "id": "file-abc123", - "object": "file", - "deleted": true - } - get: - operationId: retrieveFile - tags: - - Files - summary: Returns information about a specific file. - parameters: - - in: path - name: file_id - required: true - schema: - type: string - description: The ID of the file to use for this request. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/OpenAIFile" - x-oaiMeta: - name: Retrieve file - group: files - returns: The [File](/docs/api-reference/files/object) object matching the specified ID. - examples: - request: - curl: | - curl https://api.openai.com/v1/files/file-abc123 \ - -H "Authorization: Bearer $OPENAI_API_KEY" - python: | - from openai import OpenAI - client = OpenAI() - - client.files.retrieve("file-abc123") - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const file = await openai.files.retrieve("file-abc123"); - - console.log(file); - } - - main(); - response: | - { - "id": "file-abc123", - "object": "file", - "bytes": 120000, - "created_at": 1677610602, - "filename": "mydata.jsonl", - "purpose": "fine-tune", - } - /files/{file_id}/content: - get: - operationId: downloadFile - tags: - - Files - summary: Returns the contents of the specified file. - parameters: - - in: path - name: file_id - required: true - schema: - type: string - description: The ID of the file to use for this request. - responses: - "200": - description: OK - content: - application/json: - schema: - type: string - x-oaiMeta: - name: Retrieve file content - group: files - returns: The file content. - examples: - request: - curl: | - curl https://api.openai.com/v1/files/file-abc123/content \ - -H "Authorization: Bearer $OPENAI_API_KEY" > file.jsonl - python: | - from openai import OpenAI - client = OpenAI() - - content = client.files.content("file-abc123") - node.js: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const file = await openai.files.content("file-abc123"); - - console.log(file); - } - - main(); - - /fine_tuning/jobs: - post: - operationId: createFineTuningJob - tags: - - Fine-tuning - summary: | - Creates a fine-tuning job which begins the process of creating a new model from a given dataset. - - Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. - - [Learn more about fine-tuning](/docs/guides/fine-tuning) - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/CreateFineTuningJobRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/FineTuningJob" - x-oaiMeta: - name: Create fine-tuning job - group: fine-tuning - returns: A [fine-tuning.job](/docs/api-reference/fine-tuning/object) object. - examples: - - title: Default - request: - curl: | - curl https://api.openai.com/v1/fine_tuning/jobs \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "training_file": "file-BK7bzQj3FfZFXr7DbL6xJwfo", - "model": "gpt-3.5-turbo" - }' - python: | - from openai import OpenAI - client = OpenAI() - - client.fine_tuning.jobs.create( - training_file="file-abc123", - model="gpt-3.5-turbo" - ) - node.js: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const fineTune = await openai.fineTuning.jobs.create({ - training_file: "file-abc123" - }); - - console.log(fineTune); - } - - main(); - response: | - { - "object": "fine_tuning.job", - "id": "ftjob-abc123", - "model": "gpt-3.5-turbo-0125", - "created_at": 1614807352, - "fine_tuned_model": null, - "organization_id": "org-123", - "result_files": [], - "status": "queued", - "validation_file": null, - "training_file": "file-abc123", - } - - title: Epochs - request: - curl: | - curl https://api.openai.com/v1/fine_tuning/jobs \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "training_file": "file-abc123", - "model": "gpt-3.5-turbo", - "hyperparameters": { - "n_epochs": 2 - } - }' - python: | - from openai import OpenAI - client = OpenAI() - - client.fine_tuning.jobs.create( - training_file="file-abc123", - model="gpt-3.5-turbo", - hyperparameters={ - "n_epochs":2 - } - ) - node.js: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const fineTune = await openai.fineTuning.jobs.create({ - training_file: "file-abc123", - model: "gpt-3.5-turbo", - hyperparameters: { n_epochs: 2 } - }); - - console.log(fineTune); - } - - main(); - response: | - { - "object": "fine_tuning.job", - "id": "ftjob-abc123", - "model": "gpt-3.5-turbo-0125", - "created_at": 1614807352, - "fine_tuned_model": null, - "organization_id": "org-123", - "result_files": [], - "status": "queued", - "validation_file": null, - "training_file": "file-abc123", - "hyperparameters": {"n_epochs": 2}, - } - - title: Validation file - request: - curl: | - curl https://api.openai.com/v1/fine_tuning/jobs \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "training_file": "file-abc123", - "validation_file": "file-abc123", - "model": "gpt-3.5-turbo" - }' - python: | - from openai import OpenAI - client = OpenAI() - - client.fine_tuning.jobs.create( - training_file="file-abc123", - validation_file="file-def456", - model="gpt-3.5-turbo" - ) - node.js: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const fineTune = await openai.fineTuning.jobs.create({ - training_file: "file-abc123", - validation_file: "file-abc123" - }); - - console.log(fineTune); - } - - main(); - response: | - { - "object": "fine_tuning.job", - "id": "ftjob-abc123", - "model": "gpt-3.5-turbo-0125", - "created_at": 1614807352, - "fine_tuned_model": null, - "organization_id": "org-123", - "result_files": [], - "status": "queued", - "validation_file": "file-abc123", - "training_file": "file-abc123", - } - - title: W&B Integration - request: - curl: | - curl https://api.openai.com/v1/fine_tuning/jobs \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "training_file": "file-abc123", - "validation_file": "file-abc123", - "model": "gpt-3.5-turbo", - "integrations": [ - { - "type": "wandb", - "wandb": { - "project": "my-wandb-project", - "name": "ft-run-display-name" - "tags": [ - "first-experiment", "v2" + /fine_tuning/jobs/{fine_tuning_job_id}/cancel: + post: + operationId: cancelFineTuningJob + tags: + - Fine-tuning + summary: | + Immediately cancel a fine-tune job. + parameters: + - in: path + name: fine_tuning_job_id + required: true + schema: + type: string + example: ft-AF1WoRqd3aJAHsqc9NY7iL8F + description: | + The ID of the fine-tuning job to cancel. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/FineTuningJob" + x-oaiMeta: + name: Cancel fine-tuning + group: fine-tuning + returns: The cancelled [fine-tuning](/docs/api-reference/fine-tuning/object) object. + examples: + request: + curl: | + curl -X POST https://api.openai.com/v1/fine_tuning/jobs/ftjob-abc123/cancel \ + -H "Authorization: Bearer $OPENAI_API_KEY" + python: | + from openai import OpenAI + client = OpenAI() + + client.fine_tuning.jobs.cancel("ftjob-abc123") + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const fineTune = await openai.fineTuning.jobs.cancel("ftjob-abc123"); + + console.log(fineTune); + } + main(); + response: | + { + "object": "fine_tuning.job", + "id": "ftjob-abc123", + "model": "gpt-4o-mini-2024-07-18", + "created_at": 1721764800, + "fine_tuned_model": null, + "organization_id": "org-123", + "result_files": [], + "hyperparameters": { + "n_epochs": "auto" + }, + "status": "cancelled", + "validation_file": "file-abc123", + "training_file": "file-abc123" + } + /fine_tuning/jobs/{fine_tuning_job_id}/checkpoints: + get: + operationId: listFineTuningJobCheckpoints + tags: + - Fine-tuning + summary: | + List checkpoints for a fine-tuning job. + parameters: + - in: path + name: fine_tuning_job_id + required: true + schema: + type: string + example: ft-AF1WoRqd3aJAHsqc9NY7iL8F + description: | + The ID of the fine-tuning job to get checkpoints for. + - name: after + in: query + description: Identifier for the last checkpoint ID from the previous pagination request. + required: false + schema: + type: string + - name: limit + in: query + description: Number of checkpoints to retrieve. + required: false + schema: + type: integer + default: 10 + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ListFineTuningJobCheckpointsResponse" + x-oaiMeta: + name: List fine-tuning checkpoints + group: fine-tuning + returns: A list of fine-tuning [checkpoint objects](/docs/api-reference/fine-tuning/checkpoint-object) for a fine-tuning job. + examples: + request: + curl: | + curl https://api.openai.com/v1/fine_tuning/jobs/ftjob-abc123/checkpoints \ + -H "Authorization: Bearer $OPENAI_API_KEY" + response: | + { + "object": "list" + "data": [ + { + "object": "fine_tuning.job.checkpoint", + "id": "ftckpt_zc4Q7MP6XxulcVzj4MZdwsAB", + "created_at": 1721764867, + "fine_tuned_model_checkpoint": "ft:gpt-4o-mini-2024-07-18:my-org:custom-suffix:96olL566:ckpt-step-2000", + "metrics": { + "full_valid_loss": 0.134, + "full_valid_mean_token_accuracy": 0.874 + }, + "fine_tuning_job_id": "ftjob-abc123", + "step_number": 2000, + }, + { + "object": "fine_tuning.job.checkpoint", + "id": "ftckpt_enQCFmOTGj3syEpYVhBRLTSy", + "created_at": 1721764800, + "fine_tuned_model_checkpoint": "ft:gpt-4o-mini-2024-07-18:my-org:custom-suffix:7q8mpxmy:ckpt-step-1000", + "metrics": { + "full_valid_loss": 0.167, + "full_valid_mean_token_accuracy": 0.781 + }, + "fine_tuning_job_id": "ftjob-abc123", + "step_number": 1000, + }, + ], + "first_id": "ftckpt_zc4Q7MP6XxulcVzj4MZdwsAB", + "last_id": "ftckpt_enQCFmOTGj3syEpYVhBRLTSy", + "has_more": true + } + + /models: + get: + operationId: listModels + tags: + - Models + summary: Lists the currently available models, and provides basic information about each one such as the owner and availability. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ListModelsResponse" + x-oaiMeta: + name: List models + group: models + returns: A list of [model](/docs/api-reference/models/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/models \ + -H "Authorization: Bearer $OPENAI_API_KEY" + python: | + from openai import OpenAI + client = OpenAI() + + client.models.list() + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const list = await openai.models.list(); + + for await (const model of list) { + console.log(model); + } + } + main(); + response: | + { + "object": "list", + "data": [ + { + "id": "model-id-0", + "object": "model", + "created": 1686935002, + "owned_by": "organization-owner" + }, + { + "id": "model-id-1", + "object": "model", + "created": 1686935002, + "owned_by": "organization-owner", + }, + { + "id": "model-id-2", + "object": "model", + "created": 1686935002, + "owned_by": "openai" + }, + ], + "object": "list" + } + /models/{model}: + get: + operationId: retrieveModel + tags: + - Models + summary: Retrieves a model instance, providing basic information about the model such as the owner and permissioning. + parameters: + - in: path + name: model + required: true + schema: + type: string + # ideally this will be an actual ID, so this will always work from browser + example: gpt-4o-mini + description: The ID of the model to use for this request + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/Model" + x-oaiMeta: + name: Retrieve model + group: models + returns: The [model](/docs/api-reference/models/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/models/VAR_model_id \ + -H "Authorization: Bearer $OPENAI_API_KEY" + python: | + from openai import OpenAI + client = OpenAI() + + client.models.retrieve("VAR_model_id") + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const model = await openai.models.retrieve("VAR_model_id"); + + console.log(model); + } + + main(); + response: &retrieve_model_response | + { + "id": "VAR_model_id", + "object": "model", + "created": 1686935002, + "owned_by": "openai" + } + delete: + operationId: deleteModel + tags: + - Models + summary: Delete a fine-tuned model. You must have the Owner role in your organization to delete a model. + parameters: + - in: path + name: model + required: true + schema: + type: string + example: ft:gpt-4o-mini:acemeco:suffix:abc123 + description: The model to delete + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/DeleteModelResponse" + x-oaiMeta: + name: Delete a fine-tuned model + group: models + returns: Deletion status. + examples: + request: + curl: | + curl https://api.openai.com/v1/models/ft:gpt-4o-mini:acemeco:suffix:abc123 \ + -X DELETE \ + -H "Authorization: Bearer $OPENAI_API_KEY" + python: | + from openai import OpenAI + client = OpenAI() + + client.models.delete("ft:gpt-4o-mini:acemeco:suffix:abc123") + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const model = await openai.models.del("ft:gpt-4o-mini:acemeco:suffix:abc123"); + + console.log(model); + } + main(); + response: | + { + "id": "ft:gpt-4o-mini:acemeco:suffix:abc123", + "object": "model", + "deleted": true + } + + /moderations: + post: + operationId: createModeration + tags: + - Moderations + summary: Classifies if text is potentially harmful. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateModerationRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/CreateModerationResponse" + x-oaiMeta: + name: Create moderation + group: moderations + returns: A [moderation](/docs/api-reference/moderations/object) object. + examples: + request: + curl: | + curl https://api.openai.com/v1/moderations \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -d '{ + "input": "I want to kill them." + }' + python: | + from openai import OpenAI + client = OpenAI() + + moderation = client.moderations.create(input="I want to kill them.") + print(moderation) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const moderation = await openai.moderations.create({ input: "I want to kill them." }); + + console.log(moderation); + } + main(); + response: &moderation_example | + { + "id": "modr-XXXXX", + "model": "text-moderation-005", + "results": [ + { + "flagged": true, + "categories": { + "sexual": false, + "hate": false, + "harassment": false, + "self-harm": false, + "sexual/minors": false, + "hate/threatening": false, + "violence/graphic": false, + "self-harm/intent": false, + "self-harm/instructions": false, + "harassment/threatening": true, + "violence": true, + }, + "category_scores": { + "sexual": 1.2282071e-06, + "hate": 0.010696256, + "harassment": 0.29842457, + "self-harm": 1.5236925e-08, + "sexual/minors": 5.7246268e-08, + "hate/threatening": 0.0060676364, + "violence/graphic": 4.435014e-06, + "self-harm/intent": 8.098441e-10, + "self-harm/instructions": 2.8498655e-11, + "harassment/threatening": 0.63055265, + "violence": 0.99011886, + } + } ] } - } - ] - }' - response: | - { - "object": "fine_tuning.job", - "id": "ftjob-abc123", - "model": "gpt-3.5-turbo-0125", - "created_at": 1614807352, - "fine_tuned_model": null, - "organization_id": "org-123", - "result_files": [], - "status": "queued", - "validation_file": "file-abc123", - "training_file": "file-abc123", - "integrations": [ - { - "type": "wandb", - "wandb": { - "project": "my-wandb-project", - "entity": None, - "run_id": "ftjob-abc123" - } - } - ] - } - get: - operationId: listPaginatedFineTuningJobs - tags: - - Fine-tuning - summary: | - List your organization's fine-tuning jobs - parameters: - - name: after - in: query - description: Identifier for the last job from the previous pagination request. - required: false - schema: - type: string - - name: limit - in: query - description: Number of fine-tuning jobs to retrieve. - required: false - schema: - type: integer - default: 20 - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ListPaginatedFineTuningJobsResponse" - x-oaiMeta: - name: List fine-tuning jobs - group: fine-tuning - returns: A list of paginated [fine-tuning job](/docs/api-reference/fine-tuning/object) objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/fine_tuning/jobs?limit=2 \ - -H "Authorization: Bearer $OPENAI_API_KEY" - python: | - from openai import OpenAI - client = OpenAI() - - client.fine_tuning.jobs.list() - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const list = await openai.fineTuning.jobs.list(); - - for await (const fineTune of list) { - console.log(fineTune); - } - } - - main(); - response: | - { - "object": "list", - "data": [ - { - "object": "fine_tuning.job.event", - "id": "ft-event-TjX0lMfOniCZX64t9PUQT5hn", - "created_at": 1689813489, - "level": "warn", - "message": "Fine tuning process stopping due to job cancellation", - "data": null, - "type": "message" - }, - { ... }, - { ... } - ], "has_more": true - } - /fine_tuning/jobs/{fine_tuning_job_id}: - get: - operationId: retrieveFineTuningJob - tags: - - Fine-tuning - summary: | - Get info about a fine-tuning job. - - [Learn more about fine-tuning](/docs/guides/fine-tuning) - parameters: - - in: path - name: fine_tuning_job_id - required: true - schema: - type: string - example: ft-AF1WoRqd3aJAHsqc9NY7iL8F - description: | - The ID of the fine-tuning job. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/FineTuningJob" - x-oaiMeta: - name: Retrieve fine-tuning job - group: fine-tuning - returns: The [fine-tuning](/docs/api-reference/fine-tuning/object) object with the given ID. - examples: - request: - curl: | - curl https://api.openai.com/v1/fine_tuning/jobs/ft-AF1WoRqd3aJAHsqc9NY7iL8F \ - -H "Authorization: Bearer $OPENAI_API_KEY" - python: | - from openai import OpenAI - client = OpenAI() - - client.fine_tuning.jobs.retrieve("ftjob-abc123") - node.js: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const fineTune = await openai.fineTuning.jobs.retrieve("ftjob-abc123"); - - console.log(fineTune); - } - - main(); - response: &fine_tuning_example | - { - "object": "fine_tuning.job", - "id": "ftjob-abc123", - "model": "davinci-002", - "created_at": 1692661014, - "finished_at": 1692661190, - "fine_tuned_model": "ft:davinci-002:my-org:custom_suffix:7q8mpxmy", - "organization_id": "org-123", - "result_files": [ - "file-abc123" - ], - "status": "succeeded", - "validation_file": null, - "training_file": "file-abc123", - "hyperparameters": { - "n_epochs": 4, - "batch_size": 1, - "learning_rate_multiplier": 1.0 - }, - "trained_tokens": 5768, - "integrations": [], - "seed": 0, - "estimated_finish": 0 - } - /fine_tuning/jobs/{fine_tuning_job_id}/events: - get: - operationId: listFineTuningEvents - tags: - - Fine-tuning - summary: | - Get status updates for a fine-tuning job. - parameters: - - in: path - name: fine_tuning_job_id - required: true - schema: - type: string - example: ft-AF1WoRqd3aJAHsqc9NY7iL8F - description: | - The ID of the fine-tuning job to get events for. - - name: after - in: query - description: Identifier for the last event from the previous pagination request. - required: false - schema: - type: string - - name: limit - in: query - description: Number of events to retrieve. - required: false - schema: - type: integer - default: 20 - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ListFineTuningJobEventsResponse" - x-oaiMeta: - name: List fine-tuning events - group: fine-tuning - returns: A list of fine-tuning event objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/fine_tuning/jobs/ftjob-abc123/events \ - -H "Authorization: Bearer $OPENAI_API_KEY" - python: | - from openai import OpenAI - client = OpenAI() - - client.fine_tuning.jobs.list_events( - fine_tuning_job_id="ftjob-abc123", - limit=2 - ) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const list = await openai.fineTuning.list_events(id="ftjob-abc123", limit=2); - - for await (const fineTune of list) { - console.log(fineTune); - } - } - - main(); - response: | - { - "object": "list", - "data": [ - { - "object": "fine_tuning.job.event", - "id": "ft-event-ddTJfwuMVpfLXseO0Am0Gqjm", - "created_at": 1692407401, - "level": "info", - "message": "Fine tuning job successfully completed", - "data": null, - "type": "message" - }, - { - "object": "fine_tuning.job.event", - "id": "ft-event-tyiGuB72evQncpH87xe505Sv", - "created_at": 1692407400, - "level": "info", - "message": "New fine-tuned model created: ft:gpt-3.5-turbo:openai::7p4lURel", - "data": null, - "type": "message" - } - ], - "has_more": true - } - /fine_tuning/jobs/{fine_tuning_job_id}/cancel: - post: - operationId: cancelFineTuningJob - tags: - - Fine-tuning - summary: | - Immediately cancel a fine-tune job. - parameters: - - in: path - name: fine_tuning_job_id - required: true - schema: - type: string - example: ft-AF1WoRqd3aJAHsqc9NY7iL8F - description: | - The ID of the fine-tuning job to cancel. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/FineTuningJob" - x-oaiMeta: - name: Cancel fine-tuning - group: fine-tuning - returns: The cancelled [fine-tuning](/docs/api-reference/fine-tuning/object) object. - examples: - request: - curl: | - curl -X POST https://api.openai.com/v1/fine_tuning/jobs/ftjob-abc123/cancel \ - -H "Authorization: Bearer $OPENAI_API_KEY" - python: | - from openai import OpenAI - client = OpenAI() - - client.fine_tuning.jobs.cancel("ftjob-abc123") - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const fineTune = await openai.fineTuning.jobs.cancel("ftjob-abc123"); - - console.log(fineTune); - } - main(); - response: | - { - "object": "fine_tuning.job", - "id": "ftjob-abc123", - "model": "gpt-3.5-turbo-0125", - "created_at": 1689376978, - "fine_tuned_model": null, - "organization_id": "org-123", - "result_files": [], - "hyperparameters": { - "n_epochs": "auto" - }, - "status": "cancelled", - "validation_file": "file-abc123", - "training_file": "file-abc123" - } - /fine_tuning/jobs/{fine_tuning_job_id}/checkpoints: - get: - operationId: listFineTuningJobCheckpoints - tags: - - Fine-tuning - summary: | - List checkpoints for a fine-tuning job. - parameters: - - in: path - name: fine_tuning_job_id - required: true - schema: - type: string - example: ft-AF1WoRqd3aJAHsqc9NY7iL8F - description: | - The ID of the fine-tuning job to get checkpoints for. - - name: after - in: query - description: Identifier for the last checkpoint ID from the previous pagination request. - required: false - schema: - type: string - - name: limit - in: query - description: Number of checkpoints to retrieve. - required: false - schema: - type: integer - default: 10 - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ListFineTuningJobCheckpointsResponse" - x-oaiMeta: - name: List fine-tuning checkpoints - group: fine-tuning - returns: A list of fine-tuning [checkpoint objects](/docs/api-reference/fine-tuning/checkpoint-object) for a fine-tuning job. - examples: - request: - curl: | - curl https://api.openai.com/v1/fine_tuning/jobs/ftjob-abc123/checkpoints \ - -H "Authorization: Bearer $OPENAI_API_KEY" - response: | - { - "object": "list" - "data": [ - { - "object": "fine_tuning.job.checkpoint", - "id": "ftckpt_zc4Q7MP6XxulcVzj4MZdwsAB", - "created_at": 1519129973, - "fine_tuned_model_checkpoint": "ft:gpt-3.5-turbo-0125:my-org:custom-suffix:96olL566:ckpt-step-2000", - "metrics": { - "full_valid_loss": 0.134, - "full_valid_mean_token_accuracy": 0.874 - }, - "fine_tuning_job_id": "ftjob-abc123", - "step_number": 2000, - }, - { - "object": "fine_tuning.job.checkpoint", - "id": "ftckpt_enQCFmOTGj3syEpYVhBRLTSy", - "created_at": 1519129833, - "fine_tuned_model_checkpoint": "ft:gpt-3.5-turbo-0125:my-org:custom-suffix:7q8mpxmy:ckpt-step-1000", - "metrics": { - "full_valid_loss": 0.167, - "full_valid_mean_token_accuracy": 0.781 - }, - "fine_tuning_job_id": "ftjob-abc123", - "step_number": 1000, - }, - ], - "first_id": "ftckpt_zc4Q7MP6XxulcVzj4MZdwsAB", - "last_id": "ftckpt_enQCFmOTGj3syEpYVhBRLTSy", - "has_more": true - } - - /models: - get: - operationId: listModels - tags: - - Models - summary: Lists the currently available models, and provides basic information about each one such as the owner and availability. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ListModelsResponse" - x-oaiMeta: - name: List models - group: models - returns: A list of [model](/docs/api-reference/models/object) objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/models \ - -H "Authorization: Bearer $OPENAI_API_KEY" - python: | - from openai import OpenAI - client = OpenAI() - - client.models.list() - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const list = await openai.models.list(); - - for await (const model of list) { - console.log(model); - } - } - main(); - response: | - { - "object": "list", - "data": [ - { - "id": "model-id-0", - "object": "model", - "created": 1686935002, - "owned_by": "organization-owner" - }, - { - "id": "model-id-1", - "object": "model", - "created": 1686935002, - "owned_by": "organization-owner", - }, - { - "id": "model-id-2", - "object": "model", - "created": 1686935002, - "owned_by": "openai" - }, - ], - "object": "list" - } - /models/{model}: - get: - operationId: retrieveModel - tags: - - Models - summary: Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - parameters: - - in: path - name: model - required: true - schema: - type: string - # ideally this will be an actual ID, so this will always work from browser - example: gpt-3.5-turbo - description: The ID of the model to use for this request - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/Model" - x-oaiMeta: - name: Retrieve model - group: models - returns: The [model](/docs/api-reference/models/object) object matching the specified ID. - examples: - request: - curl: | - curl https://api.openai.com/v1/models/VAR_model_id \ - -H "Authorization: Bearer $OPENAI_API_KEY" - python: | - from openai import OpenAI - client = OpenAI() - - client.models.retrieve("VAR_model_id") - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const model = await openai.models.retrieve("VAR_model_id"); - - console.log(model); - } - - main(); - response: &retrieve_model_response | - { - "id": "VAR_model_id", - "object": "model", - "created": 1686935002, - "owned_by": "openai" - } - delete: - operationId: deleteModel - tags: - - Models - summary: Delete a fine-tuned model. You must have the Owner role in your organization to delete a model. - parameters: - - in: path - name: model - required: true - schema: - type: string - example: ft:gpt-3.5-turbo:acemeco:suffix:abc123 - description: The model to delete - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/DeleteModelResponse" - x-oaiMeta: - name: Delete a fine-tuned model - group: models - returns: Deletion status. - examples: - request: - curl: | - curl https://api.openai.com/v1/models/ft:gpt-3.5-turbo:acemeco:suffix:abc123 \ - -X DELETE \ - -H "Authorization: Bearer $OPENAI_API_KEY" - python: | - from openai import OpenAI - client = OpenAI() - - client.models.delete("ft:gpt-3.5-turbo:acemeco:suffix:abc123") - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const model = await openai.models.del("ft:gpt-3.5-turbo:acemeco:suffix:abc123"); - - console.log(model); - } - main(); - response: | - { - "id": "ft:gpt-3.5-turbo:acemeco:suffix:abc123", - "object": "model", - "deleted": true - } - - /moderations: - post: - operationId: createModeration - tags: - - Moderations - summary: Classifies if text is potentially harmful. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/CreateModerationRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/CreateModerationResponse" - x-oaiMeta: - name: Create moderation - group: moderations - returns: A [moderation](/docs/api-reference/moderations/object) object. - examples: - request: - curl: | - curl https://api.openai.com/v1/moderations \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -d '{ - "input": "I want to kill them." - }' - python: | - from openai import OpenAI - client = OpenAI() - - moderation = client.moderations.create(input="I want to kill them.") - print(moderation) - node.js: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const moderation = await openai.moderations.create({ input: "I want to kill them." }); - - console.log(moderation); - } - main(); - response: &moderation_example | - { - "id": "modr-XXXXX", - "model": "text-moderation-005", - "results": [ - { - "flagged": true, - "categories": { - "sexual": false, - "hate": false, - "harassment": false, - "self-harm": false, - "sexual/minors": false, - "hate/threatening": false, - "violence/graphic": false, - "self-harm/intent": false, - "self-harm/instructions": false, - "harassment/threatening": true, - "violence": true, - }, - "category_scores": { - "sexual": 1.2282071e-06, - "hate": 0.010696256, - "harassment": 0.29842457, - "self-harm": 1.5236925e-08, - "sexual/minors": 5.7246268e-08, - "hate/threatening": 0.0060676364, - "violence/graphic": 4.435014e-06, - "self-harm/intent": 8.098441e-10, - "self-harm/instructions": 2.8498655e-11, - "harassment/threatening": 0.63055265, - "violence": 0.99011886, - } - } - ] - } - - /assistants: - get: - operationId: listAssistants - tags: - - Assistants - summary: Returns a list of assistants. - parameters: - - name: limit - in: query - description: &pagination_limit_param_description | - A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20. - required: false - schema: - type: integer - default: 20 - - name: order - in: query - description: &pagination_order_param_description | - Sort order by the `created_at` timestamp of the objects. `asc` for ascending order and `desc` for descending order. - schema: - type: string - default: desc - enum: ["asc", "desc"] - - name: after - in: query - description: &pagination_after_param_description | - A cursor for use in pagination. `after` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list. - schema: - type: string - - name: before - in: query - description: &pagination_before_param_description | - A cursor for use in pagination. `before` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list. - schema: - type: string - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ListAssistantsResponse" - x-oaiMeta: - name: List assistants - group: assistants - beta: true - returns: A list of [assistant](/docs/api-reference/assistants/object) objects. - examples: - request: - curl: | - curl "https://api.openai.com/v1/assistants?order=desc&limit=20" \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - my_assistants = client.beta.assistants.list( - order="desc", - limit="20", - ) - print(my_assistants.data) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const myAssistants = await openai.beta.assistants.list({ - order: "desc", - limit: "20", - }); - - console.log(myAssistants.data); - } - - main(); - response: &list_assistants_example | - { - "object": "list", - "data": [ - { - "id": "asst_abc123", - "object": "assistant", - "created_at": 1698982736, - "name": "Coding Tutor", - "description": null, - "model": "gpt-4-turbo", - "instructions": "You are a helpful assistant designed to make me better at coding!", - "tools": [], - "tool_resources": {}, - "metadata": {}, - "top_p": 1.0, - "temperature": 1.0, - "response_format": "auto" - }, - { - "id": "asst_abc456", - "object": "assistant", - "created_at": 1698982718, - "name": "My Assistant", - "description": null, - "model": "gpt-4-turbo", - "instructions": "You are a helpful assistant designed to make me better at coding!", - "tools": [], - "tool_resources": {}, - "metadata": {}, - "top_p": 1.0, - "temperature": 1.0, - "response_format": "auto" - }, - { - "id": "asst_abc789", - "object": "assistant", - "created_at": 1698982643, - "name": null, - "description": null, - "model": "gpt-4-turbo", - "instructions": null, - "tools": [], - "tool_resources": {}, - "metadata": {}, - "top_p": 1.0, - "temperature": 1.0, - "response_format": "auto" - } - ], - "first_id": "asst_abc123", - "last_id": "asst_abc789", - "has_more": false - } - post: - operationId: createAssistant - tags: - - Assistants - summary: Create an assistant with a model and instructions. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/CreateAssistantRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/AssistantObject" - x-oaiMeta: - name: Create assistant - group: assistants - beta: true - returns: An [assistant](/docs/api-reference/assistants/object) object. - examples: - - title: Code Interpreter - request: - curl: | - curl "https://api.openai.com/v1/assistants" \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.", - "name": "Math Tutor", - "tools": [{"type": "code_interpreter"}], - "model": "gpt-4-turbo" - }' - - python: | - from openai import OpenAI - client = OpenAI() - - my_assistant = client.beta.assistants.create( - instructions="You are a personal math tutor. When asked a question, write and run Python code to answer the question.", - name="Math Tutor", - tools=[{"type": "code_interpreter"}], - model="gpt-4-turbo", - ) - print(my_assistant) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const myAssistant = await openai.beta.assistants.create({ - instructions: - "You are a personal math tutor. When asked a question, write and run Python code to answer the question.", - name: "Math Tutor", - tools: [{ type: "code_interpreter" }], - model: "gpt-4-turbo", - }); - - console.log(myAssistant); - } - - main(); - response: &create_assistants_example | - { - "id": "asst_abc123", - "object": "assistant", - "created_at": 1698984975, - "name": "Math Tutor", - "description": null, - "model": "gpt-4-turbo", - "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.", - "tools": [ - { - "type": "code_interpreter" - } - ], - "metadata": {}, - "top_p": 1.0, - "temperature": 1.0, - "response_format": "auto" - } - - title: Files - request: - curl: | - curl https://api.openai.com/v1/assistants \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.", - "tools": [{"type": "file_search"}], - "tool_resources": {"file_search": {"vector_store_ids": ["vs_123"]}}, - "model": "gpt-4-turbo" - }' - python: | - from openai import OpenAI - client = OpenAI() - - my_assistant = client.beta.assistants.create( - instructions="You are an HR bot, and you have access to files to answer employee questions about company policies.", - name="HR Helper", - tools=[{"type": "file_search"}], - tool_resources={"file_search": {"vector_store_ids": ["vs_123"]}}, - model="gpt-4-turbo" - ) - print(my_assistant) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const myAssistant = await openai.beta.assistants.create({ - instructions: - "You are an HR bot, and you have access to files to answer employee questions about company policies.", - name: "HR Helper", - tools: [{ type: "file_search" }], - tool_resources: { - file_search: { - vector_store_ids: ["vs_123"] - } - }, - model: "gpt-4-turbo" - }); - - console.log(myAssistant); - } - - main(); - response: | - { - "id": "asst_abc123", - "object": "assistant", - "created_at": 1699009403, - "name": "HR Helper", - "description": null, - "model": "gpt-4-turbo", - "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.", - "tools": [ - { - "type": "file_search" - } - ], - "tool_resources": { - "file_search": { - "vector_store_ids": ["vs_123"] - } - }, - "metadata": {}, - "top_p": 1.0, - "temperature": 1.0, - "response_format": "auto" - } - - /assistants/{assistant_id}: - get: - operationId: getAssistant - tags: - - Assistants - summary: Retrieves an assistant. - parameters: - - in: path - name: assistant_id - required: true - schema: - type: string - description: The ID of the assistant to retrieve. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/AssistantObject" - x-oaiMeta: - name: Retrieve assistant - group: assistants - beta: true - returns: The [assistant](/docs/api-reference/assistants/object) object matching the specified ID. - examples: - request: - curl: | - curl https://api.openai.com/v1/assistants/asst_abc123 \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - my_assistant = client.beta.assistants.retrieve("asst_abc123") - print(my_assistant) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const myAssistant = await openai.beta.assistants.retrieve( - "asst_abc123" - ); - - console.log(myAssistant); - } - - main(); - response: | - { - "id": "asst_abc123", - "object": "assistant", - "created_at": 1699009709, - "name": "HR Helper", - "description": null, - "model": "gpt-4-turbo", - "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.", - "tools": [ - { - "type": "file_search" - } - ], - "metadata": {}, - "top_p": 1.0, - "temperature": 1.0, - "response_format": "auto" - } - post: - operationId: modifyAssistant - tags: - - Assistants - summary: Modifies an assistant. - parameters: - - in: path - name: assistant_id - required: true - schema: - type: string - description: The ID of the assistant to modify. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/ModifyAssistantRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/AssistantObject" - x-oaiMeta: - name: Modify assistant - group: assistants - beta: true - returns: The modified [assistant](/docs/api-reference/assistants/object) object. - examples: - request: - curl: | - curl https://api.openai.com/v1/assistants/asst_abc123 \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.", - "tools": [{"type": "file_search"}], - "model": "gpt-4-turbo" - }' - python: | - from openai import OpenAI - client = OpenAI() - - my_updated_assistant = client.beta.assistants.update( - "asst_abc123", - instructions="You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.", - name="HR Helper", - tools=[{"type": "file_search"}], - model="gpt-4-turbo" - ) - - print(my_updated_assistant) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const myUpdatedAssistant = await openai.beta.assistants.update( - "asst_abc123", - { - instructions: - "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.", - name: "HR Helper", - tools: [{ type: "file_search" }], - model: "gpt-4-turbo" - } - ); - - console.log(myUpdatedAssistant); - } - - main(); - response: | - { - "id": "asst_123", - "object": "assistant", - "created_at": 1699009709, - "name": "HR Helper", - "description": null, - "model": "gpt-4-turbo", - "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.", - "tools": [ - { - "type": "file_search" - } - ], - "tool_resources": { - "file_search": { - "vector_store_ids": [] - } - }, - "metadata": {}, - "top_p": 1.0, - "temperature": 1.0, - "response_format": "auto" - } - delete: - operationId: deleteAssistant - tags: - - Assistants - summary: Delete an assistant. - parameters: - - in: path - name: assistant_id - required: true - schema: - type: string - description: The ID of the assistant to delete. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/DeleteAssistantResponse" - x-oaiMeta: - name: Delete assistant - group: assistants - beta: true - returns: Deletion status - examples: - request: - curl: | - curl https://api.openai.com/v1/assistants/asst_abc123 \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" \ - -X DELETE - python: | - from openai import OpenAI - client = OpenAI() - - response = client.beta.assistants.delete("asst_abc123") - print(response) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const response = await openai.beta.assistants.del("asst_abc123"); - - console.log(response); - } - main(); - response: | - { - "id": "asst_abc123", - "object": "assistant.deleted", - "deleted": true - } - - /threads: - post: - operationId: createThread - tags: - - Assistants - summary: Create a thread. - requestBody: - content: - application/json: - schema: - $ref: "#/components/schemas/CreateThreadRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ThreadObject" - x-oaiMeta: - name: Create thread - group: threads - beta: true - returns: A [thread](/docs/api-reference/threads) object. - examples: - - title: Empty - request: - curl: | - curl https://api.openai.com/v1/threads \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '' - python: | - from openai import OpenAI - client = OpenAI() - - empty_thread = client.beta.threads.create() - print(empty_thread) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const emptyThread = await openai.beta.threads.create(); - - console.log(emptyThread); - } - - main(); - response: | - { - "id": "thread_abc123", - "object": "thread", - "created_at": 1699012949, - "metadata": {}, - "tool_resources": {} - } - - title: Messages - request: - curl: | - curl https://api.openai.com/v1/threads \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "messages": [{ - "role": "user", - "content": "Hello, what is AI?" - }, { - "role": "user", - "content": "How does AI work? Explain it in simple terms." - }] - }' - python: | - from openai import OpenAI - client = OpenAI() - - message_thread = client.beta.threads.create( - messages=[ - { - "role": "user", - "content": "Hello, what is AI?" - }, + + /assistants: + get: + operationId: listAssistants + tags: + - Assistants + summary: Returns a list of assistants. + parameters: + - name: limit + in: query + description: &pagination_limit_param_description | + A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20. + required: false + schema: + type: integer + default: 20 + - name: order + in: query + description: &pagination_order_param_description | + Sort order by the `created_at` timestamp of the objects. `asc` for ascending order and `desc` for descending order. + schema: + type: string + default: desc + enum: ["asc", "desc"] + - name: after + in: query + description: &pagination_after_param_description | + A cursor for use in pagination. `after` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list. + schema: + type: string + - name: before + in: query + description: &pagination_before_param_description | + A cursor for use in pagination. `before` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list. + schema: + type: string + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ListAssistantsResponse" + x-oaiMeta: + name: List assistants + group: assistants + beta: true + returns: A list of [assistant](/docs/api-reference/assistants/object) objects. + examples: + request: + curl: | + curl "https://api.openai.com/v1/assistants?order=desc&limit=20" \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + my_assistants = client.beta.assistants.list( + order="desc", + limit="20", + ) + print(my_assistants.data) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const myAssistants = await openai.beta.assistants.list({ + order: "desc", + limit: "20", + }); + + console.log(myAssistants.data); + } + + main(); + response: &list_assistants_example | + { + "object": "list", + "data": [ + { + "id": "asst_abc123", + "object": "assistant", + "created_at": 1698982736, + "name": "Coding Tutor", + "description": null, + "model": "gpt-4o", + "instructions": "You are a helpful assistant designed to make me better at coding!", + "tools": [], + "tool_resources": {}, + "metadata": {}, + "top_p": 1.0, + "temperature": 1.0, + "response_format": "auto" + }, + { + "id": "asst_abc456", + "object": "assistant", + "created_at": 1698982718, + "name": "My Assistant", + "description": null, + "model": "gpt-4o", + "instructions": "You are a helpful assistant designed to make me better at coding!", + "tools": [], + "tool_resources": {}, + "metadata": {}, + "top_p": 1.0, + "temperature": 1.0, + "response_format": "auto" + }, + { + "id": "asst_abc789", + "object": "assistant", + "created_at": 1698982643, + "name": null, + "description": null, + "model": "gpt-4o", + "instructions": null, + "tools": [], + "tool_resources": {}, + "metadata": {}, + "top_p": 1.0, + "temperature": 1.0, + "response_format": "auto" + } + ], + "first_id": "asst_abc123", + "last_id": "asst_abc789", + "has_more": false + } + post: + operationId: createAssistant + tags: + - Assistants + summary: Create an assistant with a model and instructions. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateAssistantRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/AssistantObject" + x-oaiMeta: + name: Create assistant + group: assistants + beta: true + returns: An [assistant](/docs/api-reference/assistants/object) object. + examples: + - title: Code Interpreter + request: + curl: | + curl "https://api.openai.com/v1/assistants" \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.", + "name": "Math Tutor", + "tools": [{"type": "code_interpreter"}], + "model": "gpt-4o" + }' + + python: | + from openai import OpenAI + client = OpenAI() + + my_assistant = client.beta.assistants.create( + instructions="You are a personal math tutor. When asked a question, write and run Python code to answer the question.", + name="Math Tutor", + tools=[{"type": "code_interpreter"}], + model="gpt-4o", + ) + print(my_assistant) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const myAssistant = await openai.beta.assistants.create({ + instructions: + "You are a personal math tutor. When asked a question, write and run Python code to answer the question.", + name: "Math Tutor", + tools: [{ type: "code_interpreter" }], + model: "gpt-4o", + }); + + console.log(myAssistant); + } + + main(); + response: &create_assistants_example | + { + "id": "asst_abc123", + "object": "assistant", + "created_at": 1698984975, + "name": "Math Tutor", + "description": null, + "model": "gpt-4o", + "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.", + "tools": [ + { + "type": "code_interpreter" + } + ], + "metadata": {}, + "top_p": 1.0, + "temperature": 1.0, + "response_format": "auto" + } + - title: Files + request: + curl: | + curl https://api.openai.com/v1/assistants \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.", + "tools": [{"type": "file_search"}], + "tool_resources": {"file_search": {"vector_store_ids": ["vs_123"]}}, + "model": "gpt-4o" + }' + python: | + from openai import OpenAI + client = OpenAI() + + my_assistant = client.beta.assistants.create( + instructions="You are an HR bot, and you have access to files to answer employee questions about company policies.", + name="HR Helper", + tools=[{"type": "file_search"}], + tool_resources={"file_search": {"vector_store_ids": ["vs_123"]}}, + model="gpt-4o" + ) + print(my_assistant) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const myAssistant = await openai.beta.assistants.create({ + instructions: + "You are an HR bot, and you have access to files to answer employee questions about company policies.", + name: "HR Helper", + tools: [{ type: "file_search" }], + tool_resources: { + file_search: { + vector_store_ids: ["vs_123"] + } + }, + model: "gpt-4o" + }); + + console.log(myAssistant); + } + + main(); + response: | + { + "id": "asst_abc123", + "object": "assistant", + "created_at": 1699009403, + "name": "HR Helper", + "description": null, + "model": "gpt-4o", + "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.", + "tools": [ + { + "type": "file_search" + } + ], + "tool_resources": { + "file_search": { + "vector_store_ids": ["vs_123"] + } + }, + "metadata": {}, + "top_p": 1.0, + "temperature": 1.0, + "response_format": "auto" + } + + /assistants/{assistant_id}: + get: + operationId: getAssistant + tags: + - Assistants + summary: Retrieves an assistant. + parameters: + - in: path + name: assistant_id + required: true + schema: + type: string + description: The ID of the assistant to retrieve. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/AssistantObject" + x-oaiMeta: + name: Retrieve assistant + group: assistants + beta: true + returns: The [assistant](/docs/api-reference/assistants/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/assistants/asst_abc123 \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + my_assistant = client.beta.assistants.retrieve("asst_abc123") + print(my_assistant) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const myAssistant = await openai.beta.assistants.retrieve( + "asst_abc123" + ); + + console.log(myAssistant); + } + + main(); + response: | + { + "id": "asst_abc123", + "object": "assistant", + "created_at": 1699009709, + "name": "HR Helper", + "description": null, + "model": "gpt-4o", + "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.", + "tools": [ + { + "type": "file_search" + } + ], + "metadata": {}, + "top_p": 1.0, + "temperature": 1.0, + "response_format": "auto" + } + post: + operationId: modifyAssistant + tags: + - Assistants + summary: Modifies an assistant. + parameters: + - in: path + name: assistant_id + required: true + schema: + type: string + description: The ID of the assistant to modify. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/ModifyAssistantRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/AssistantObject" + x-oaiMeta: + name: Modify assistant + group: assistants + beta: true + returns: The modified [assistant](/docs/api-reference/assistants/object) object. + examples: + request: + curl: | + curl https://api.openai.com/v1/assistants/asst_abc123 \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.", + "tools": [{"type": "file_search"}], + "model": "gpt-4o" + }' + python: | + from openai import OpenAI + client = OpenAI() + + my_updated_assistant = client.beta.assistants.update( + "asst_abc123", + instructions="You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.", + name="HR Helper", + tools=[{"type": "file_search"}], + model="gpt-4o" + ) + + print(my_updated_assistant) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const myUpdatedAssistant = await openai.beta.assistants.update( + "asst_abc123", + { + instructions: + "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.", + name: "HR Helper", + tools: [{ type: "file_search" }], + model: "gpt-4o" + } + ); + + console.log(myUpdatedAssistant); + } + + main(); + response: | + { + "id": "asst_123", + "object": "assistant", + "created_at": 1699009709, + "name": "HR Helper", + "description": null, + "model": "gpt-4o", + "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.", + "tools": [ + { + "type": "file_search" + } + ], + "tool_resources": { + "file_search": { + "vector_store_ids": [] + } + }, + "metadata": {}, + "top_p": 1.0, + "temperature": 1.0, + "response_format": "auto" + } + delete: + operationId: deleteAssistant + tags: + - Assistants + summary: Delete an assistant. + parameters: + - in: path + name: assistant_id + required: true + schema: + type: string + description: The ID of the assistant to delete. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/DeleteAssistantResponse" + x-oaiMeta: + name: Delete assistant + group: assistants + beta: true + returns: Deletion status + examples: + request: + curl: | + curl https://api.openai.com/v1/assistants/asst_abc123 \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" \ + -X DELETE + python: | + from openai import OpenAI + client = OpenAI() + + response = client.beta.assistants.delete("asst_abc123") + print(response) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const response = await openai.beta.assistants.del("asst_abc123"); + + console.log(response); + } + main(); + response: | + { + "id": "asst_abc123", + "object": "assistant.deleted", + "deleted": true + } + + /threads: + post: + operationId: createThread + tags: + - Assistants + summary: Create a thread. + requestBody: + content: + application/json: + schema: + $ref: "#/components/schemas/CreateThreadRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ThreadObject" + x-oaiMeta: + name: Create thread + group: threads + beta: true + returns: A [thread](/docs/api-reference/threads) object. + examples: + - title: Empty + request: + curl: | + curl https://api.openai.com/v1/threads \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '' + python: | + from openai import OpenAI + client = OpenAI() + + empty_thread = client.beta.threads.create() + print(empty_thread) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const emptyThread = await openai.beta.threads.create(); + + console.log(emptyThread); + } + + main(); + response: | + { + "id": "thread_abc123", + "object": "thread", + "created_at": 1699012949, + "metadata": {}, + "tool_resources": {} + } + - title: Messages + request: + curl: | + curl https://api.openai.com/v1/threads \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "messages": [{ + "role": "user", + "content": "Hello, what is AI?" + }, { + "role": "user", + "content": "How does AI work? Explain it in simple terms." + }] + }' + python: | + from openai import OpenAI + client = OpenAI() + + message_thread = client.beta.threads.create( + messages=[ + { + "role": "user", + "content": "Hello, what is AI?" + }, + { + "role": "user", + "content": "How does AI work? Explain it in simple terms." + }, + ] + ) + + print(message_thread) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const messageThread = await openai.beta.threads.create({ + messages: [ + { + role: "user", + content: "Hello, what is AI?" + }, + { + role: "user", + content: "How does AI work? Explain it in simple terms.", + }, + ], + }); + + console.log(messageThread); + } + + main(); + response: | + { + "id": "thread_abc123", + "object": "thread", + "created_at": 1699014083, + "metadata": {}, + "tool_resources": {} + } + + /threads/{thread_id}: + get: + operationId: getThread + tags: + - Assistants + summary: Retrieves a thread. + parameters: + - in: path + name: thread_id + required: true + schema: + type: string + description: The ID of the thread to retrieve. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ThreadObject" + x-oaiMeta: + name: Retrieve thread + group: threads + beta: true + returns: The [thread](/docs/api-reference/threads/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123 \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + my_thread = client.beta.threads.retrieve("thread_abc123") + print(my_thread) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const myThread = await openai.beta.threads.retrieve( + "thread_abc123" + ); + + console.log(myThread); + } + + main(); + response: | + { + "id": "thread_abc123", + "object": "thread", + "created_at": 1699014083, + "metadata": {}, + "tool_resources": { + "code_interpreter": { + "file_ids": [] + } + } + } + post: + operationId: modifyThread + tags: + - Assistants + summary: Modifies a thread. + parameters: + - in: path + name: thread_id + required: true + schema: + type: string + description: The ID of the thread to modify. Only the `metadata` can be modified. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/ModifyThreadRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ThreadObject" + x-oaiMeta: + name: Modify thread + group: threads + beta: true + returns: The modified [thread](/docs/api-reference/threads/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123 \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "metadata": { + "modified": "true", + "user": "abc123" + } + }' + python: | + from openai import OpenAI + client = OpenAI() + + my_updated_thread = client.beta.threads.update( + "thread_abc123", + metadata={ + "modified": "true", + "user": "abc123" + } + ) + print(my_updated_thread) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const updatedThread = await openai.beta.threads.update( + "thread_abc123", + { + metadata: { modified: "true", user: "abc123" }, + } + ); + + console.log(updatedThread); + } + + main(); + response: | + { + "id": "thread_abc123", + "object": "thread", + "created_at": 1699014083, + "metadata": { + "modified": "true", + "user": "abc123" + }, + "tool_resources": {} + } + delete: + operationId: deleteThread + tags: + - Assistants + summary: Delete a thread. + parameters: + - in: path + name: thread_id + required: true + schema: + type: string + description: The ID of the thread to delete. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/DeleteThreadResponse" + x-oaiMeta: + name: Delete thread + group: threads + beta: true + returns: Deletion status + examples: + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123 \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" \ + -X DELETE + python: | + from openai import OpenAI + client = OpenAI() + + response = client.beta.threads.delete("thread_abc123") + print(response) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const response = await openai.beta.threads.del("thread_abc123"); + + console.log(response); + } + main(); + response: | + { + "id": "thread_abc123", + "object": "thread.deleted", + "deleted": true + } + + /threads/{thread_id}/messages: + get: + operationId: listMessages + tags: + - Assistants + summary: Returns a list of messages for a given thread. + parameters: + - in: path + name: thread_id + required: true + schema: + type: string + description: The ID of the [thread](/docs/api-reference/threads) the messages belong to. + - name: limit + in: query + description: *pagination_limit_param_description + required: false + schema: + type: integer + default: 20 + - name: order + in: query + description: *pagination_order_param_description + schema: + type: string + default: desc + enum: ["asc", "desc"] + - name: after + in: query + description: *pagination_after_param_description + schema: + type: string + - name: before + in: query + description: *pagination_before_param_description + schema: + type: string + - name: run_id + in: query + description: | + Filter messages by the run ID that generated them. + schema: + type: string + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ListMessagesResponse" + x-oaiMeta: + name: List messages + group: threads + beta: true + returns: A list of [message](/docs/api-reference/messages) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123/messages \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + thread_messages = client.beta.threads.messages.list("thread_abc123") + print(thread_messages.data) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const threadMessages = await openai.beta.threads.messages.list( + "thread_abc123" + ); + + console.log(threadMessages.data); + } + + main(); + response: | + { + "object": "list", + "data": [ + { + "id": "msg_abc123", + "object": "thread.message", + "created_at": 1699016383, + "assistant_id": null, + "thread_id": "thread_abc123", + "run_id": null, + "role": "user", + "content": [ + { + "type": "text", + "text": { + "value": "How does AI work? Explain it in simple terms.", + "annotations": [] + } + } + ], + "attachments": [], + "metadata": {} + }, + { + "id": "msg_abc456", + "object": "thread.message", + "created_at": 1699016383, + "assistant_id": null, + "thread_id": "thread_abc123", + "run_id": null, + "role": "user", + "content": [ + { + "type": "text", + "text": { + "value": "Hello, what is AI?", + "annotations": [] + } + } + ], + "attachments": [], + "metadata": {} + } + ], + "first_id": "msg_abc123", + "last_id": "msg_abc456", + "has_more": false + } + post: + operationId: createMessage + tags: + - Assistants + summary: Create a message. + parameters: + - in: path + name: thread_id + required: true + schema: + type: string + description: The ID of the [thread](/docs/api-reference/threads) to create a message for. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateMessageRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/MessageObject" + x-oaiMeta: + name: Create message + group: threads + beta: true + returns: A [message](/docs/api-reference/messages/object) object. + examples: + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123/messages \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "role": "user", + "content": "How does AI work? Explain it in simple terms." + }' + python: | + from openai import OpenAI + client = OpenAI() + + thread_message = client.beta.threads.messages.create( + "thread_abc123", + role="user", + content="How does AI work? Explain it in simple terms.", + ) + print(thread_message) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const threadMessages = await openai.beta.threads.messages.create( + "thread_abc123", + { role: "user", content: "How does AI work? Explain it in simple terms." } + ); + + console.log(threadMessages); + } + + main(); + response: | + { + "id": "msg_abc123", + "object": "thread.message", + "created_at": 1713226573, + "assistant_id": null, + "thread_id": "thread_abc123", + "run_id": null, + "role": "user", + "content": [ + { + "type": "text", + "text": { + "value": "How does AI work? Explain it in simple terms.", + "annotations": [] + } + } + ], + "attachments": [], + "metadata": {} + } + + /threads/{thread_id}/messages/{message_id}: + get: + operationId: getMessage + tags: + - Assistants + summary: Retrieve a message. + parameters: + - in: path + name: thread_id + required: true + schema: + type: string + description: The ID of the [thread](/docs/api-reference/threads) to which this message belongs. + - in: path + name: message_id + required: true + schema: + type: string + description: The ID of the message to retrieve. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/MessageObject" + x-oaiMeta: + name: Retrieve message + group: threads + beta: true + returns: The [message](/docs/api-reference/messages/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123 \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + message = client.beta.threads.messages.retrieve( + message_id="msg_abc123", + thread_id="thread_abc123", + ) + print(message) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const message = await openai.beta.threads.messages.retrieve( + "thread_abc123", + "msg_abc123" + ); + + console.log(message); + } + + main(); + response: | + { + "id": "msg_abc123", + "object": "thread.message", + "created_at": 1699017614, + "assistant_id": null, + "thread_id": "thread_abc123", + "run_id": null, + "role": "user", + "content": [ + { + "type": "text", + "text": { + "value": "How does AI work? Explain it in simple terms.", + "annotations": [] + } + } + ], + "attachments": [], + "metadata": {} + } + post: + operationId: modifyMessage + tags: + - Assistants + summary: Modifies a message. + parameters: + - in: path + name: thread_id + required: true + schema: + type: string + description: The ID of the thread to which this message belongs. + - in: path + name: message_id + required: true + schema: + type: string + description: The ID of the message to modify. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/ModifyMessageRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/MessageObject" + x-oaiMeta: + name: Modify message + group: threads + beta: true + returns: The modified [message](/docs/api-reference/messages/object) object. + examples: + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123 \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "metadata": { + "modified": "true", + "user": "abc123" + } + }' + python: | + from openai import OpenAI + client = OpenAI() + + message = client.beta.threads.messages.update( + message_id="msg_abc12", + thread_id="thread_abc123", + metadata={ + "modified": "true", + "user": "abc123", + }, + ) + print(message) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const message = await openai.beta.threads.messages.update( + "thread_abc123", + "msg_abc123", + { + metadata: { + modified: "true", + user: "abc123", + }, + } + }' + response: | + { + "id": "msg_abc123", + "object": "thread.message", + "created_at": 1699017614, + "assistant_id": null, + "thread_id": "thread_abc123", + "run_id": null, + "role": "user", + "content": [ + { + "type": "text", + "text": { + "value": "How does AI work? Explain it in simple terms.", + "annotations": [] + } + } + ], + "file_ids": [], + "metadata": { + "modified": "true", + "user": "abc123" + } + } + delete: + operationId: deleteMessage + tags: + - Assistants + summary: Deletes a message. + parameters: + - in: path + name: thread_id + required: true + schema: + type: string + description: The ID of the thread to which this message belongs. + - in: path + name: message_id + required: true + schema: + type: string + description: The ID of the message to delete. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/DeleteMessageResponse" + x-oaiMeta: + name: Delete message + group: threads + beta: true + returns: Deletion status + examples: + request: + curl: | + curl -X DELETE https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123 \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + deleted_message = client.beta.threads.messages.delete( + message_id="msg_abc12", + thread_id="thread_abc123", + ) + print(deleted_message) + node.js: |- + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const deletedMessage = await openai.beta.threads.messages.del( + "thread_abc123", + "msg_abc123" + ); + + console.log(deletedMessage); + } + response: | + { + "id": "msg_abc123", + "object": "thread.message.deleted", + "deleted": true + } + + /threads/runs: + post: + operationId: createThreadAndRun + tags: + - Assistants + summary: Create a thread and run it in one request. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateThreadAndRunRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/RunObject" + x-oaiMeta: + name: Create thread and run + group: threads + beta: true + returns: A [run](/docs/api-reference/runs/object) object. + examples: + - title: Default + request: + curl: | + curl https://api.openai.com/v1/threads/runs \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "assistant_id": "asst_abc123", + "thread": { + "messages": [ + {"role": "user", "content": "Explain deep learning to a 5 year old."} + ] + } + }' + python: | + from openai import OpenAI + client = OpenAI() + + run = client.beta.threads.create_and_run( + assistant_id="asst_abc123", + thread={ + "messages": [ + {"role": "user", "content": "Explain deep learning to a 5 year old."} + ] + } + ) + + print(run) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const run = await openai.beta.threads.createAndRun({ + assistant_id: "asst_abc123", + thread: { + messages: [ + { role: "user", content: "Explain deep learning to a 5 year old." }, + ], + }, + }); + + console.log(run); + } + + main(); + response: | + { + "id": "run_abc123", + "object": "thread.run", + "created_at": 1699076792, + "assistant_id": "asst_abc123", + "thread_id": "thread_abc123", + "status": "queued", + "started_at": null, + "expires_at": 1699077392, + "cancelled_at": null, + "failed_at": null, + "completed_at": null, + "required_action": null, + "last_error": null, + "model": "gpt-4o", + "instructions": "You are a helpful assistant.", + "tools": [], + "tool_resources": {}, + "metadata": {}, + "temperature": 1.0, + "top_p": 1.0, + "max_completion_tokens": null, + "max_prompt_tokens": null, + "truncation_strategy": { + "type": "auto", + "last_messages": null + }, + "incomplete_details": null, + "usage": null, + "response_format": "auto", + "tool_choice": "auto", + "parallel_tool_calls": true + } + + - title: Streaming + request: + curl: | + curl https://api.openai.com/v1/threads/runs \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "assistant_id": "asst_123", + "thread": { + "messages": [ + {"role": "user", "content": "Hello"} + ] + }, + "stream": true + }' + python: | + from openai import OpenAI + client = OpenAI() + + stream = client.beta.threads.create_and_run( + assistant_id="asst_123", + thread={ + "messages": [ + {"role": "user", "content": "Hello"} + ] + }, + stream=True + ) + + for event in stream: + print(event) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const stream = await openai.beta.threads.createAndRun({ + assistant_id: "asst_123", + thread: { + messages: [ + { role: "user", content: "Hello" }, + ], + }, + stream: true + }); + + for await (const event of stream) { + console.log(event); + } + } + + main(); + response: | + event: thread.created + data: {"id":"thread_123","object":"thread","created_at":1710348075,"metadata":{}} + + event: thread.run.created + data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true} + + event: thread.run.queued + data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true} + + event: thread.run.in_progress + data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true} + + event: thread.run.step.created + data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null} + + event: thread.run.step.in_progress + data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null} + + event: thread.message.created + data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[], "metadata":{}} + + event: thread.message.in_progress + data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[], "metadata":{}} + + event: thread.message.delta + data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}} + + ... + + event: thread.message.delta + data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" today"}}]}} + + event: thread.message.delta + data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}} + + event: thread.message.completed + data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710348077,"role":"assistant","content":[{"type":"text","text":{"value":"Hello! How can I assist you today?","annotations":[]}}], "metadata":{}} + + event: thread.run.step.completed + data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710348077,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}} + + event: thread.run.completed + {"id":"run_123","object":"thread.run","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1713226836,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1713226837,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":345,"completion_tokens":11,"total_tokens":356},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true} + + event: done + data: [DONE] + + - title: Streaming with Functions + request: + curl: | + curl https://api.openai.com/v1/threads/runs \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "assistant_id": "asst_abc123", + "thread": { + "messages": [ + {"role": "user", "content": "What is the weather like in San Francisco?"} + ] + }, + "tools": [ + { + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA" + }, + "unit": { + "type": "string", + "enum": ["celsius", "fahrenheit"] + } + }, + "required": ["location"] + } + } + } + ], + "stream": true + }' + python: | + from openai import OpenAI + client = OpenAI() + + tools = [ + { + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA", + }, + "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, + }, + "required": ["location"], + }, + } + } + ] + + stream = client.beta.threads.create_and_run( + thread={ + "messages": [ + {"role": "user", "content": "What is the weather like in San Francisco?"} + ] + }, + assistant_id="asst_abc123", + tools=tools, + stream=True + ) + + for event in stream: + print(event) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + const tools = [ + { + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA", + }, + "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, + }, + "required": ["location"], + }, + } + } + ]; + + async function main() { + const stream = await openai.beta.threads.createAndRun({ + assistant_id: "asst_123", + thread: { + messages: [ + { role: "user", content: "What is the weather like in San Francisco?" }, + ], + }, + tools: tools, + stream: true + }); + + for await (const event of stream) { + console.log(event); + } + } + + main(); + response: | + event: thread.created + data: {"id":"thread_123","object":"thread","created_at":1710351818,"metadata":{}} + + event: thread.run.created + data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: thread.run.queued + data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: thread.run.in_progress + data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710351818,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: thread.run.step.created + data: {"id":"step_001","object":"thread.run.step","created_at":1710351819,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"tool_calls","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710352418,"failed_at":null,"last_error":null,"step_details":{"type":"tool_calls","tool_calls":[]},"usage":null} + + event: thread.run.step.in_progress + data: {"id":"step_001","object":"thread.run.step","created_at":1710351819,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"tool_calls","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710352418,"failed_at":null,"last_error":null,"step_details":{"type":"tool_calls","tool_calls":[]},"usage":null} + + event: thread.run.step.delta + data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"id":"call_XXNp8YGaFrjrSjgqxtC8JJ1B","type":"function","function":{"name":"get_current_weather","arguments":"","output":null}}]}}} + + event: thread.run.step.delta + data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"{\""}}]}}} + + event: thread.run.step.delta + data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"location"}}]}}} + + ... + + event: thread.run.step.delta + data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"ahrenheit"}}]}}} + + event: thread.run.step.delta + data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"\"}"}}]}}} + + event: thread.run.requires_action + data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"requires_action","started_at":1710351818,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":{"type":"submit_tool_outputs","submit_tool_outputs":{"tool_calls":[{"id":"call_XXNp8YGaFrjrSjgqxtC8JJ1B","type":"function","function":{"name":"get_current_weather","arguments":"{\"location\":\"San Francisco, CA\",\"unit\":\"fahrenheit\"}"}}]}},"last_error":null,"model":"gpt-4o","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":345,"completion_tokens":11,"total_tokens":356},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: done + data: [DONE] + + /threads/{thread_id}/runs: + get: + operationId: listRuns + tags: + - Assistants + summary: Returns a list of runs belonging to a thread. + parameters: + - name: thread_id + in: path + required: true + schema: + type: string + description: The ID of the thread the run belongs to. + - name: limit + in: query + description: *pagination_limit_param_description + required: false + schema: + type: integer + default: 20 + - name: order + in: query + description: *pagination_order_param_description + schema: + type: string + default: desc + enum: ["asc", "desc"] + - name: after + in: query + description: *pagination_after_param_description + schema: + type: string + - name: before + in: query + description: *pagination_before_param_description + schema: + type: string + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ListRunsResponse" + x-oaiMeta: + name: List runs + group: threads + beta: true + returns: A list of [run](/docs/api-reference/runs/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123/runs \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + runs = client.beta.threads.runs.list( + "thread_abc123" + ) + + print(runs) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const runs = await openai.beta.threads.runs.list( + "thread_abc123" + ); + + console.log(runs); + } + + main(); + response: | + { + "object": "list", + "data": [ + { + "id": "run_abc123", + "object": "thread.run", + "created_at": 1699075072, + "assistant_id": "asst_abc123", + "thread_id": "thread_abc123", + "status": "completed", + "started_at": 1699075072, + "expires_at": null, + "cancelled_at": null, + "failed_at": null, + "completed_at": 1699075073, + "last_error": null, + "model": "gpt-4o", + "instructions": null, + "incomplete_details": null, + "tools": [ + { + "type": "code_interpreter" + } + ], + "tool_resources": { + "code_interpreter": { + "file_ids": [ + "file-abc123", + "file-abc456" + ] + } + }, + "metadata": {}, + "usage": { + "prompt_tokens": 123, + "completion_tokens": 456, + "total_tokens": 579 + }, + "temperature": 1.0, + "top_p": 1.0, + "max_prompt_tokens": 1000, + "max_completion_tokens": 1000, + "truncation_strategy": { + "type": "auto", + "last_messages": null + }, + "response_format": "auto", + "tool_choice": "auto", + "parallel_tool_calls": true + }, + { + "id": "run_abc456", + "object": "thread.run", + "created_at": 1699063290, + "assistant_id": "asst_abc123", + "thread_id": "thread_abc123", + "status": "completed", + "started_at": 1699063290, + "expires_at": null, + "cancelled_at": null, + "failed_at": null, + "completed_at": 1699063291, + "last_error": null, + "model": "gpt-4o", + "instructions": null, + "incomplete_details": null, + "tools": [ + { + "type": "code_interpreter" + } + ], + "tool_resources": { + "code_interpreter": { + "file_ids": [ + "file-abc123", + "file-abc456" + ] + } + }, + "metadata": {}, + "usage": { + "prompt_tokens": 123, + "completion_tokens": 456, + "total_tokens": 579 + }, + "temperature": 1.0, + "top_p": 1.0, + "max_prompt_tokens": 1000, + "max_completion_tokens": 1000, + "truncation_strategy": { + "type": "auto", + "last_messages": null + }, + "response_format": "auto", + "tool_choice": "auto", + "parallel_tool_calls": true + } + ], + "first_id": "run_abc123", + "last_id": "run_abc456", + "has_more": false + } + post: + operationId: createRun + tags: + - Assistants + summary: Create a run. + parameters: + - in: path + name: thread_id + required: true + schema: + type: string + description: The ID of the thread to run. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateRunRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/RunObject" + x-oaiMeta: + name: Create run + group: threads + beta: true + returns: A [run](/docs/api-reference/runs/object) object. + examples: + - title: Default + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123/runs \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "assistant_id": "asst_abc123" + }' + python: | + from openai import OpenAI + client = OpenAI() + + run = client.beta.threads.runs.create( + thread_id="thread_abc123", + assistant_id="asst_abc123" + ) + + print(run) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const run = await openai.beta.threads.runs.create( + "thread_abc123", + { assistant_id: "asst_abc123" } + ); + + console.log(run); + } + + main(); + response: &run_object_example | + { + "id": "run_abc123", + "object": "thread.run", + "created_at": 1699063290, + "assistant_id": "asst_abc123", + "thread_id": "thread_abc123", + "status": "queued", + "started_at": 1699063290, + "expires_at": null, + "cancelled_at": null, + "failed_at": null, + "completed_at": 1699063291, + "last_error": null, + "model": "gpt-4o", + "instructions": null, + "incomplete_details": null, + "tools": [ + { + "type": "code_interpreter" + } + ], + "metadata": {}, + "usage": null, + "temperature": 1.0, + "top_p": 1.0, + "max_prompt_tokens": 1000, + "max_completion_tokens": 1000, + "truncation_strategy": { + "type": "auto", + "last_messages": null + }, + "response_format": "auto", + "tool_choice": "auto", + "parallel_tool_calls": true + } + - title: Streaming + request: + curl: | + curl https://api.openai.com/v1/threads/thread_123/runs \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "assistant_id": "asst_123", + "stream": true + }' + python: | + from openai import OpenAI + client = OpenAI() + + stream = client.beta.threads.runs.create( + thread_id="thread_123", + assistant_id="asst_123", + stream=True + ) + + for event in stream: + print(event) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const stream = await openai.beta.threads.runs.create( + "thread_123", + { assistant_id: "asst_123", stream: true } + ); + + for await (const event of stream) { + console.log(event); + } + } + + main(); + response: | + event: thread.run.created + data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: thread.run.queued + data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: thread.run.in_progress + data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710330641,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: thread.run.step.created + data: {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null} + + event: thread.run.step.in_progress + data: {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null} + + event: thread.message.created + data: {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}} + + event: thread.message.in_progress + data: {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}} + + event: thread.message.delta + data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}} + + ... + + event: thread.message.delta + data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" today"}}]}} + + event: thread.message.delta + data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}} + + event: thread.message.completed + data: {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710330642,"role":"assistant","content":[{"type":"text","text":{"value":"Hello! How can I assist you today?","annotations":[]}}],"metadata":{}} + + event: thread.run.step.completed + data: {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710330642,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}} + + event: thread.run.completed + data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1710330641,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1710330642,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: done + data: [DONE] + + - title: Streaming with Functions + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123/runs \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "assistant_id": "asst_abc123", + "tools": [ + { + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA" + }, + "unit": { + "type": "string", + "enum": ["celsius", "fahrenheit"] + } + }, + "required": ["location"] + } + } + } + ], + "stream": true + }' + python: | + from openai import OpenAI + client = OpenAI() + + tools = [ + { + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA", + }, + "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, + }, + "required": ["location"], + }, + } + } + ] + + stream = client.beta.threads.runs.create( + thread_id="thread_abc123", + assistant_id="asst_abc123", + tools=tools, + stream=True + ) + + for event in stream: + print(event) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + const tools = [ + { + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA", + }, + "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, + }, + "required": ["location"], + }, + } + } + ]; + + async function main() { + const stream = await openai.beta.threads.runs.create( + "thread_abc123", + { + assistant_id: "asst_abc123", + tools: tools, + stream: true + } + ); + + for await (const event of stream) { + console.log(event); + } + } + + main(); + response: | + event: thread.run.created + data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: thread.run.queued + data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: thread.run.in_progress + data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710348075,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: thread.run.step.created + data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null} + + event: thread.run.step.in_progress + data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null} + + event: thread.message.created + data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}} + + event: thread.message.in_progress + data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}} + + event: thread.message.delta + data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}} + + ... + + event: thread.message.delta + data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" today"}}]}} + + event: thread.message.delta + data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}} + + event: thread.message.completed + data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710348077,"role":"assistant","content":[{"type":"text","text":{"value":"Hello! How can I assist you today?","annotations":[]}}],"metadata":{}} + + event: thread.run.step.completed + data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710348077,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}} + + event: thread.run.completed + data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1710348075,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1710348077,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: done + data: [DONE] + + /threads/{thread_id}/runs/{run_id}: + get: + operationId: getRun + tags: + - Assistants + summary: Retrieves a run. + parameters: + - in: path + name: thread_id + required: true + schema: + type: string + description: The ID of the [thread](/docs/api-reference/threads) that was run. + - in: path + name: run_id + required: true + schema: + type: string + description: The ID of the run to retrieve. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/RunObject" + x-oaiMeta: + name: Retrieve run + group: threads + beta: true + returns: The [run](/docs/api-reference/runs/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123 \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + run = client.beta.threads.runs.retrieve( + thread_id="thread_abc123", + run_id="run_abc123" + ) + + print(run) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const run = await openai.beta.threads.runs.retrieve( + "thread_abc123", + "run_abc123" + ); + + console.log(run); + } + + main(); + response: | + { + "id": "run_abc123", + "object": "thread.run", + "created_at": 1699075072, + "assistant_id": "asst_abc123", + "thread_id": "thread_abc123", + "status": "completed", + "started_at": 1699075072, + "expires_at": null, + "cancelled_at": null, + "failed_at": null, + "completed_at": 1699075073, + "last_error": null, + "model": "gpt-4o", + "instructions": null, + "incomplete_details": null, + "tools": [ + { + "type": "code_interpreter" + } + ], + "metadata": {}, + "usage": { + "prompt_tokens": 123, + "completion_tokens": 456, + "total_tokens": 579 + }, + "temperature": 1.0, + "top_p": 1.0, + "max_prompt_tokens": 1000, + "max_completion_tokens": 1000, + "truncation_strategy": { + "type": "auto", + "last_messages": null + }, + "response_format": "auto", + "tool_choice": "auto", + "parallel_tool_calls": true + } + post: + operationId: modifyRun + tags: + - Assistants + summary: Modifies a run. + parameters: + - in: path + name: thread_id + required: true + schema: + type: string + description: The ID of the [thread](/docs/api-reference/threads) that was run. + - in: path + name: run_id + required: true + schema: + type: string + description: The ID of the run to modify. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/ModifyRunRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/RunObject" + x-oaiMeta: + name: Modify run + group: threads + beta: true + returns: The modified [run](/docs/api-reference/runs/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123 \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "metadata": { + "user_id": "user_abc123" + } + }' + python: | + from openai import OpenAI + client = OpenAI() + + run = client.beta.threads.runs.update( + thread_id="thread_abc123", + run_id="run_abc123", + metadata={"user_id": "user_abc123"}, + ) + + print(run) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const run = await openai.beta.threads.runs.update( + "thread_abc123", + "run_abc123", + { + metadata: { + user_id: "user_abc123", + }, + } + ); + + console.log(run); + } + + main(); + response: | + { + "id": "run_abc123", + "object": "thread.run", + "created_at": 1699075072, + "assistant_id": "asst_abc123", + "thread_id": "thread_abc123", + "status": "completed", + "started_at": 1699075072, + "expires_at": null, + "cancelled_at": null, + "failed_at": null, + "completed_at": 1699075073, + "last_error": null, + "model": "gpt-4o", + "instructions": null, + "incomplete_details": null, + "tools": [ + { + "type": "code_interpreter" + } + ], + "tool_resources": { + "code_interpreter": { + "file_ids": [ + "file-abc123", + "file-abc456" + ] + } + }, + "metadata": { + "user_id": "user_abc123" + }, + "usage": { + "prompt_tokens": 123, + "completion_tokens": 456, + "total_tokens": 579 + }, + "temperature": 1.0, + "top_p": 1.0, + "max_prompt_tokens": 1000, + "max_completion_tokens": 1000, + "truncation_strategy": { + "type": "auto", + "last_messages": null + }, + "response_format": "auto", + "tool_choice": "auto", + "parallel_tool_calls": true + } + + /threads/{thread_id}/runs/{run_id}/submit_tool_outputs: + post: + operationId: submitToolOuputsToRun + tags: + - Assistants + summary: | + When a run has the `status: "requires_action"` and `required_action.type` is `submit_tool_outputs`, this endpoint can be used to submit the outputs from the tool calls once they're all completed. All outputs must be submitted in a single request. + parameters: + - in: path + name: thread_id + required: true + schema: + type: string + description: The ID of the [thread](/docs/api-reference/threads) to which this run belongs. + - in: path + name: run_id + required: true + schema: + type: string + description: The ID of the run that requires the tool output submission. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/SubmitToolOutputsRunRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/RunObject" + x-oaiMeta: + name: Submit tool outputs to run + group: threads + beta: true + returns: The modified [run](/docs/api-reference/runs/object) object matching the specified ID. + examples: + - title: Default + request: + curl: | + curl https://api.openai.com/v1/threads/thread_123/runs/run_123/submit_tool_outputs \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "tool_outputs": [ + { + "tool_call_id": "call_001", + "output": "70 degrees and sunny." + } + ] + }' + python: | + from openai import OpenAI + client = OpenAI() + + run = client.beta.threads.runs.submit_tool_outputs( + thread_id="thread_123", + run_id="run_123", + tool_outputs=[ + { + "tool_call_id": "call_001", + "output": "70 degrees and sunny." + } + ] + ) + + print(run) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const run = await openai.beta.threads.runs.submitToolOutputs( + "thread_123", + "run_123", + { + tool_outputs: [ + { + tool_call_id: "call_001", + output: "70 degrees and sunny.", + }, + ], + } + ); + + console.log(run); + } + + main(); + response: | + { + "id": "run_123", + "object": "thread.run", + "created_at": 1699075592, + "assistant_id": "asst_123", + "thread_id": "thread_123", + "status": "queued", + "started_at": 1699075592, + "expires_at": 1699076192, + "cancelled_at": null, + "failed_at": null, + "completed_at": null, + "last_error": null, + "model": "gpt-4o", + "instructions": null, + "tools": [ + { + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA" + }, + "unit": { + "type": "string", + "enum": ["celsius", "fahrenheit"] + } + }, + "required": ["location"] + } + } + } + ], + "metadata": {}, + "usage": null, + "temperature": 1.0, + "top_p": 1.0, + "max_prompt_tokens": 1000, + "max_completion_tokens": 1000, + "truncation_strategy": { + "type": "auto", + "last_messages": null + }, + "response_format": "auto", + "tool_choice": "auto", + "parallel_tool_calls": true + } + + - title: Streaming + request: + curl: | + curl https://api.openai.com/v1/threads/thread_123/runs/run_123/submit_tool_outputs \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "tool_outputs": [ + { + "tool_call_id": "call_001", + "output": "70 degrees and sunny." + } + ], + "stream": true + }' + python: | + from openai import OpenAI + client = OpenAI() + + stream = client.beta.threads.runs.submit_tool_outputs( + thread_id="thread_123", + run_id="run_123", + tool_outputs=[ + { + "tool_call_id": "call_001", + "output": "70 degrees and sunny." + } + ], + stream=True + ) + + for event in stream: + print(event) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const stream = await openai.beta.threads.runs.submitToolOutputs( + "thread_123", + "run_123", + { + tool_outputs: [ + { + tool_call_id: "call_001", + output: "70 degrees and sunny.", + }, + ], + } + ); + + for await (const event of stream) { + console.log(event); + } + } + + main(); + response: | + event: thread.run.step.completed + data: {"id":"step_001","object":"thread.run.step","created_at":1710352449,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"tool_calls","status":"completed","cancelled_at":null,"completed_at":1710352475,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"tool_calls","tool_calls":[{"id":"call_iWr0kQ2EaYMaxNdl0v3KYkx7","type":"function","function":{"name":"get_current_weather","arguments":"{\"location\":\"San Francisco, CA\",\"unit\":\"fahrenheit\"}","output":"70 degrees and sunny."}}]},"usage":{"prompt_tokens":291,"completion_tokens":24,"total_tokens":315}} + + event: thread.run.queued + data: {"id":"run_123","object":"thread.run","created_at":1710352447,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":1710352448,"expires_at":1710353047,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: thread.run.in_progress + data: {"id":"run_123","object":"thread.run","created_at":1710352447,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710352475,"expires_at":1710353047,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: thread.run.step.created + data: {"id":"step_002","object":"thread.run.step","created_at":1710352476,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_002"}},"usage":null} + + event: thread.run.step.in_progress + data: {"id":"step_002","object":"thread.run.step","created_at":1710352476,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_002"}},"usage":null} + + event: thread.message.created + data: {"id":"msg_002","object":"thread.message","created_at":1710352476,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}} + + event: thread.message.in_progress + data: {"id":"msg_002","object":"thread.message","created_at":1710352476,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}} + + event: thread.message.delta + data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"The","annotations":[]}}]}} + + event: thread.message.delta + data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" current"}}]}} + + event: thread.message.delta + data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" weather"}}]}} + + ... + + event: thread.message.delta + data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" sunny"}}]}} + + event: thread.message.delta + data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"."}}]}} + + event: thread.message.completed + data: {"id":"msg_002","object":"thread.message","created_at":1710352476,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710352477,"role":"assistant","content":[{"type":"text","text":{"value":"The current weather in San Francisco, CA is 70 degrees Fahrenheit and sunny.","annotations":[]}}],"metadata":{}} + + event: thread.run.step.completed + data: {"id":"step_002","object":"thread.run.step","created_at":1710352476,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710352477,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_002"}},"usage":{"prompt_tokens":329,"completion_tokens":18,"total_tokens":347}} + + event: thread.run.completed + data: {"id":"run_123","object":"thread.run","created_at":1710352447,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1710352475,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1710352477,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}} + + event: done + data: [DONE] + + /threads/{thread_id}/runs/{run_id}/cancel: + post: + operationId: cancelRun + tags: + - Assistants + summary: Cancels a run that is `in_progress`. + parameters: + - in: path + name: thread_id + required: true + schema: + type: string + description: The ID of the thread to which this run belongs. + - in: path + name: run_id + required: true + schema: + type: string + description: The ID of the run to cancel. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/RunObject" + x-oaiMeta: + name: Cancel a run + group: threads + beta: true + returns: The modified [run](/docs/api-reference/runs/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/cancel \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "OpenAI-Beta: assistants=v2" \ + -X POST + python: | + from openai import OpenAI + client = OpenAI() + + run = client.beta.threads.runs.cancel( + thread_id="thread_abc123", + run_id="run_abc123" + ) + + print(run) + node.js: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const run = await openai.beta.threads.runs.cancel( + "thread_abc123", + "run_abc123" + ); + + console.log(run); + } + + main(); + response: | + { + "id": "run_abc123", + "object": "thread.run", + "created_at": 1699076126, + "assistant_id": "asst_abc123", + "thread_id": "thread_abc123", + "status": "cancelling", + "started_at": 1699076126, + "expires_at": 1699076726, + "cancelled_at": null, + "failed_at": null, + "completed_at": null, + "last_error": null, + "model": "gpt-4o", + "instructions": "You summarize books.", + "tools": [ + { + "type": "file_search" + } + ], + "tool_resources": { + "file_search": { + "vector_store_ids": ["vs_123"] + } + }, + "metadata": {}, + "usage": null, + "temperature": 1.0, + "top_p": 1.0, + "response_format": "auto", + "tool_choice": "auto", + "parallel_tool_calls": true + } + + /threads/{thread_id}/runs/{run_id}/steps: + get: + operationId: listRunSteps + tags: + - Assistants + summary: Returns a list of run steps belonging to a run. + parameters: + - name: thread_id + in: path + required: true + schema: + type: string + description: The ID of the thread the run and run steps belong to. + - name: run_id + in: path + required: true + schema: + type: string + description: The ID of the run the run steps belong to. + - name: limit + in: query + description: *pagination_limit_param_description + required: false + schema: + type: integer + default: 20 + - name: order + in: query + description: *pagination_order_param_description + schema: + type: string + default: desc + enum: ["asc", "desc"] + - name: after + in: query + description: *pagination_after_param_description + schema: + type: string + - name: before + in: query + description: *pagination_before_param_description + schema: + type: string + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ListRunStepsResponse" + x-oaiMeta: + name: List run steps + group: threads + beta: true + returns: A list of [run step](/docs/api-reference/runs/step-object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/steps \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + run_steps = client.beta.threads.runs.steps.list( + thread_id="thread_abc123", + run_id="run_abc123" + ) + + print(run_steps) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const runStep = await openai.beta.threads.runs.steps.list( + "thread_abc123", + "run_abc123" + ); + console.log(runStep); + } + + main(); + response: | + { + "object": "list", + "data": [ + { + "id": "step_abc123", + "object": "thread.run.step", + "created_at": 1699063291, + "run_id": "run_abc123", + "assistant_id": "asst_abc123", + "thread_id": "thread_abc123", + "type": "message_creation", + "status": "completed", + "cancelled_at": null, + "completed_at": 1699063291, + "expired_at": null, + "failed_at": null, + "last_error": null, + "step_details": { + "type": "message_creation", + "message_creation": { + "message_id": "msg_abc123" + } + }, + "usage": { + "prompt_tokens": 123, + "completion_tokens": 456, + "total_tokens": 579 + } + } + ], + "first_id": "step_abc123", + "last_id": "step_abc456", + "has_more": false + } + + /threads/{thread_id}/runs/{run_id}/steps/{step_id}: + get: + operationId: getRunStep + tags: + - Assistants + summary: Retrieves a run step. + parameters: + - in: path + name: thread_id + required: true + schema: + type: string + description: The ID of the thread to which the run and run step belongs. + - in: path + name: run_id + required: true + schema: + type: string + description: The ID of the run to which the run step belongs. + - in: path + name: step_id + required: true + schema: + type: string + description: The ID of the run step to retrieve. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/RunStepObject" + x-oaiMeta: + name: Retrieve run step + group: threads + beta: true + returns: The [run step](/docs/api-reference/runs/step-object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/steps/step_abc123 \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + run_step = client.beta.threads.runs.steps.retrieve( + thread_id="thread_abc123", + run_id="run_abc123", + step_id="step_abc123" + ) + + print(run_step) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const runStep = await openai.beta.threads.runs.steps.retrieve( + "thread_abc123", + "run_abc123", + "step_abc123" + ); + console.log(runStep); + } + + main(); + response: &run_step_object_example | + { + "id": "step_abc123", + "object": "thread.run.step", + "created_at": 1699063291, + "run_id": "run_abc123", + "assistant_id": "asst_abc123", + "thread_id": "thread_abc123", + "type": "message_creation", + "status": "completed", + "cancelled_at": null, + "completed_at": 1699063291, + "expired_at": null, + "failed_at": null, + "last_error": null, + "step_details": { + "type": "message_creation", + "message_creation": { + "message_id": "msg_abc123" + } + }, + "usage": { + "prompt_tokens": 123, + "completion_tokens": 456, + "total_tokens": 579 + } + } + + /vector_stores: + get: + operationId: listVectorStores + tags: + - Vector Stores + summary: Returns a list of vector stores. + parameters: + - name: limit + in: query + description: *pagination_limit_param_description + required: false + schema: + type: integer + default: 20 + - name: order + in: query + description: *pagination_order_param_description + schema: + type: string + default: desc + enum: ["asc", "desc"] + - name: after + in: query + description: *pagination_after_param_description + schema: + type: string + - name: before + in: query + description: *pagination_before_param_description + schema: + type: string + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ListVectorStoresResponse" + x-oaiMeta: + name: List vector stores + group: vector_stores + beta: true + returns: A list of [vector store](/docs/api-reference/vector-stores/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/vector_stores \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + vector_stores = client.beta.vector_stores.list() + print(vector_stores) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const vectorStores = await openai.beta.vectorStores.list(); + console.log(vectorStores); + } + + main(); + response: | + { + "object": "list", + "data": [ + { + "id": "vs_abc123", + "object": "vector_store", + "created_at": 1699061776, + "name": "Support FAQ", + "bytes": 139920, + "file_counts": { + "in_progress": 0, + "completed": 3, + "failed": 0, + "cancelled": 0, + "total": 3 + } + }, + { + "id": "vs_abc456", + "object": "vector_store", + "created_at": 1699061776, + "name": "Support FAQ v2", + "bytes": 139920, + "file_counts": { + "in_progress": 0, + "completed": 3, + "failed": 0, + "cancelled": 0, + "total": 3 + } + } + ], + "first_id": "vs_abc123", + "last_id": "vs_abc456", + "has_more": false + } + post: + operationId: createVectorStore + tags: + - Vector Stores + summary: Create a vector store. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateVectorStoreRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/VectorStoreObject" + x-oaiMeta: + name: Create vector store + group: vector_stores + beta: true + returns: A [vector store](/docs/api-reference/vector-stores/object) object. + examples: + request: + curl: | + curl https://api.openai.com/v1/vector_stores \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" + -d '{ + "name": "Support FAQ" + }' + python: | + from openai import OpenAI + client = OpenAI() + + vector_store = client.beta.vector_stores.create( + name="Support FAQ" + ) + print(vector_store) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const vectorStore = await openai.beta.vectorStores.create({ + name: "Support FAQ" + }); + console.log(vectorStore); + } + + main(); + response: | + { + "id": "vs_abc123", + "object": "vector_store", + "created_at": 1699061776, + "name": "Support FAQ", + "bytes": 139920, + "file_counts": { + "in_progress": 0, + "completed": 3, + "failed": 0, + "cancelled": 0, + "total": 3 + } + } + + /vector_stores/{vector_store_id}: + get: + operationId: getVectorStore + tags: + - Vector Stores + summary: Retrieves a vector store. + parameters: + - in: path + name: vector_store_id + required: true + schema: + type: string + description: The ID of the vector store to retrieve. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/VectorStoreObject" + x-oaiMeta: + name: Retrieve vector store + group: vector_stores + beta: true + returns: The [vector store](/docs/api-reference/vector-stores/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/vector_stores/vs_abc123 \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + vector_store = client.beta.vector_stores.retrieve( + vector_store_id="vs_abc123" + ) + print(vector_store) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const vectorStore = await openai.beta.vectorStores.retrieve( + "vs_abc123" + ); + console.log(vectorStore); + } + + main(); + response: | + { + "id": "vs_abc123", + "object": "vector_store", + "created_at": 1699061776 + } + post: + operationId: modifyVectorStore + tags: + - Vector Stores + summary: Modifies a vector store. + parameters: + - in: path + name: vector_store_id + required: true + schema: + type: string + description: The ID of the vector store to modify. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/UpdateVectorStoreRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/VectorStoreObject" + x-oaiMeta: + name: Modify vector store + group: vector_stores + beta: true + returns: The modified [vector store](/docs/api-reference/vector-stores/object) object. + examples: + request: + curl: | + curl https://api.openai.com/v1/vector_stores/vs_abc123 \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" + -d '{ + "name": "Support FAQ" + }' + python: | + from openai import OpenAI + client = OpenAI() + + vector_store = client.beta.vector_stores.update( + vector_store_id="vs_abc123", + name="Support FAQ" + ) + print(vector_store) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const vectorStore = await openai.beta.vectorStores.update( + "vs_abc123", + { + name: "Support FAQ" + } + ); + console.log(vectorStore); + } + + main(); + response: | + { + "id": "vs_abc123", + "object": "vector_store", + "created_at": 1699061776, + "name": "Support FAQ", + "bytes": 139920, + "file_counts": { + "in_progress": 0, + "completed": 3, + "failed": 0, + "cancelled": 0, + "total": 3 + } + } + + delete: + operationId: deleteVectorStore + tags: + - Vector Stores + summary: Delete a vector store. + parameters: + - in: path + name: vector_store_id + required: true + schema: + type: string + description: The ID of the vector store to delete. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/DeleteVectorStoreResponse" + x-oaiMeta: + name: Delete vector store + group: vector_stores + beta: true + returns: Deletion status + examples: + request: + curl: | + curl https://api.openai.com/v1/vector_stores/vs_abc123 \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" \ + -X DELETE + python: | + from openai import OpenAI + client = OpenAI() + + deleted_vector_store = client.beta.vector_stores.delete( + vector_store_id="vs_abc123" + ) + print(deleted_vector_store) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const deletedVectorStore = await openai.beta.vectorStores.del( + "vs_abc123" + ); + console.log(deletedVectorStore); + } + + main(); + response: | + { + id: "vs_abc123", + object: "vector_store.deleted", + deleted: true + } + + /vector_stores/{vector_store_id}/files: + get: + operationId: listVectorStoreFiles + tags: + - Vector Stores + summary: Returns a list of vector store files. + parameters: + - name: vector_store_id + in: path + description: The ID of the vector store that the files belong to. + required: true + schema: + type: string + - name: limit + in: query + description: *pagination_limit_param_description + required: false + schema: + type: integer + default: 20 + - name: order + in: query + description: *pagination_order_param_description + schema: + type: string + default: desc + enum: ["asc", "desc"] + - name: after + in: query + description: *pagination_after_param_description + schema: + type: string + - name: before + in: query + description: *pagination_before_param_description + schema: + type: string + - name: filter + in: query + description: "Filter by file status. One of `in_progress`, `completed`, `failed`, `cancelled`." + schema: + type: string + enum: ["in_progress", "completed", "failed", "cancelled"] + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ListVectorStoreFilesResponse" + x-oaiMeta: + name: List vector store files + group: vector_stores + beta: true + returns: A list of [vector store file](/docs/api-reference/vector-stores-files/file-object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/vector_stores/vs_abc123/files \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + vector_store_files = client.beta.vector_stores.files.list( + vector_store_id="vs_abc123" + ) + print(vector_store_files) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const vectorStoreFiles = await openai.beta.vectorStores.files.list( + "vs_abc123" + ); + console.log(vectorStoreFiles); + } + + main(); + response: | + { + "object": "list", + "data": [ + { + "id": "file-abc123", + "object": "vector_store.file", + "created_at": 1699061776, + "vector_store_id": "vs_abc123" + }, + { + "id": "file-abc456", + "object": "vector_store.file", + "created_at": 1699061776, + "vector_store_id": "vs_abc123" + } + ], + "first_id": "file-abc123", + "last_id": "file-abc456", + "has_more": false + } + post: + operationId: createVectorStoreFile + tags: + - Vector Stores + summary: Create a vector store file by attaching a [File](/docs/api-reference/files) to a [vector store](/docs/api-reference/vector-stores/object). + parameters: + - in: path + name: vector_store_id + required: true + schema: + type: string + example: vs_abc123 + description: | + The ID of the vector store for which to create a File. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateVectorStoreFileRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/VectorStoreFileObject" + x-oaiMeta: + name: Create vector store file + group: vector_stores + beta: true + returns: A [vector store file](/docs/api-reference/vector-stores-files/file-object) object. + examples: + request: + curl: | + curl https://api.openai.com/v1/vector_stores/vs_abc123/files \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "file_id": "file-abc123" + }' + python: | + from openai import OpenAI + client = OpenAI() + + vector_store_file = client.beta.vector_stores.files.create( + vector_store_id="vs_abc123", + file_id="file-abc123" + ) + print(vector_store_file) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const myVectorStoreFile = await openai.beta.vectorStores.files.create( + "vs_abc123", + { + file_id: "file-abc123" + } + ); + console.log(myVectorStoreFile); + } + + main(); + response: | + { + "id": "file-abc123", + "object": "vector_store.file", + "created_at": 1699061776, + "usage_bytes": 1234, + "vector_store_id": "vs_abcd", + "status": "completed", + "last_error": null + } + + /vector_stores/{vector_store_id}/files/{file_id}: + get: + operationId: getVectorStoreFile + tags: + - Vector Stores + summary: Retrieves a vector store file. + parameters: + - in: path + name: vector_store_id + required: true + schema: + type: string + example: vs_abc123 + description: The ID of the vector store that the file belongs to. + - in: path + name: file_id + required: true + schema: + type: string + example: file-abc123 + description: The ID of the file being retrieved. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/VectorStoreFileObject" + x-oaiMeta: + name: Retrieve vector store file + group: vector_stores + beta: true + returns: The [vector store file](/docs/api-reference/vector-stores-files/file-object) object. + examples: + request: + curl: | + curl https://api.openai.com/v1/vector_stores/vs_abc123/files/file-abc123 \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + vector_store_file = client.beta.vector_stores.files.retrieve( + vector_store_id="vs_abc123", + file_id="file-abc123" + ) + print(vector_store_file) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const vectorStoreFile = await openai.beta.vectorStores.files.retrieve( + "vs_abc123", + "file-abc123" + ); + console.log(vectorStoreFile); + } + + main(); + response: | + { + "id": "file-abc123", + "object": "vector_store.file", + "created_at": 1699061776, + "vector_store_id": "vs_abcd", + "status": "completed", + "last_error": null + } + delete: + operationId: deleteVectorStoreFile + tags: + - Vector Stores + summary: Delete a vector store file. This will remove the file from the vector store but the file itself will not be deleted. To delete the file, use the [delete file](/docs/api-reference/files/delete) endpoint. + parameters: + - in: path + name: vector_store_id + required: true + schema: + type: string + description: The ID of the vector store that the file belongs to. + - in: path + name: file_id + required: true + schema: + type: string + description: The ID of the file to delete. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/DeleteVectorStoreFileResponse" + x-oaiMeta: + name: Delete vector store file + group: vector_stores + beta: true + returns: Deletion status + examples: + request: + curl: | + curl https://api.openai.com/v1/vector_stores/vs_abc123/files/file-abc123 \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" \ + -X DELETE + python: | + from openai import OpenAI + client = OpenAI() + + deleted_vector_store_file = client.beta.vector_stores.files.delete( + vector_store_id="vs_abc123", + file_id="file-abc123" + ) + print(deleted_vector_store_file) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const deletedVectorStoreFile = await openai.beta.vectorStores.files.del( + "vs_abc123", + "file-abc123" + ); + console.log(deletedVectorStoreFile); + } + + main(); + response: | + { + id: "file-abc123", + object: "vector_store.file.deleted", + deleted: true + } + + /vector_stores/{vector_store_id}/file_batches: + post: + operationId: createVectorStoreFileBatch + tags: + - Vector Stores + summary: Create a vector store file batch. + parameters: + - in: path + name: vector_store_id + required: true + schema: + type: string + example: vs_abc123 + description: | + The ID of the vector store for which to create a File Batch. + requestBody: + required: true + content: + application/json: + schema: + $ref: "#/components/schemas/CreateVectorStoreFileBatchRequest" + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/VectorStoreFileBatchObject" + x-oaiMeta: + name: Create vector store file batch + group: vector_stores + beta: true + returns: A [vector store file batch](/docs/api-reference/vector-stores-file-batches/batch-object) object. + examples: + request: + curl: | + curl https://api.openai.com/v1/vector_stores/vs_abc123/file_batches \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json \ + -H "OpenAI-Beta: assistants=v2" \ + -d '{ + "file_ids": ["file-abc123", "file-abc456"] + }' + python: | + from openai import OpenAI + client = OpenAI() + + vector_store_file_batch = client.beta.vector_stores.file_batches.create( + vector_store_id="vs_abc123", + file_ids=["file-abc123", "file-abc456"] + ) + print(vector_store_file_batch) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const myVectorStoreFileBatch = await openai.beta.vectorStores.fileBatches.create( + "vs_abc123", + { + file_ids: ["file-abc123", "file-abc456"] + } + ); + console.log(myVectorStoreFileBatch); + } + + main(); + response: | + { + "id": "vsfb_abc123", + "object": "vector_store.file_batch", + "created_at": 1699061776, + "vector_store_id": "vs_abc123", + "status": "in_progress", + "file_counts": { + "in_progress": 1, + "completed": 1, + "failed": 0, + "cancelled": 0, + "total": 0, + } + } + + /vector_stores/{vector_store_id}/file_batches/{batch_id}: + get: + operationId: getVectorStoreFileBatch + tags: + - Vector Stores + summary: Retrieves a vector store file batch. + parameters: + - in: path + name: vector_store_id + required: true + schema: + type: string + example: vs_abc123 + description: The ID of the vector store that the file batch belongs to. + - in: path + name: batch_id + required: true + schema: + type: string + example: vsfb_abc123 + description: The ID of the file batch being retrieved. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/VectorStoreFileBatchObject" + x-oaiMeta: + name: Retrieve vector store file batch + group: vector_stores + beta: true + returns: The [vector store file batch](/docs/api-reference/vector-stores-file-batches/batch-object) object. + examples: + request: + curl: | + curl https://api.openai.com/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123 \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + vector_store_file_batch = client.beta.vector_stores.file_batches.retrieve( + vector_store_id="vs_abc123", + batch_id="vsfb_abc123" + ) + print(vector_store_file_batch) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const vectorStoreFileBatch = await openai.beta.vectorStores.fileBatches.retrieve( + "vs_abc123", + "vsfb_abc123" + ); + console.log(vectorStoreFileBatch); + } + + main(); + response: | + { + "id": "vsfb_abc123", + "object": "vector_store.file_batch", + "created_at": 1699061776, + "vector_store_id": "vs_abc123", + "status": "in_progress", + "file_counts": { + "in_progress": 1, + "completed": 1, + "failed": 0, + "cancelled": 0, + "total": 0, + } + } + + /vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel: + post: + operationId: cancelVectorStoreFileBatch + tags: + - Vector Stores + summary: Cancel a vector store file batch. This attempts to cancel the processing of files in this batch as soon as possible. + parameters: + - in: path + name: vector_store_id + required: true + schema: + type: string + description: The ID of the vector store that the file batch belongs to. + - in: path + name: batch_id + required: true + schema: + type: string + description: The ID of the file batch to cancel. + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/VectorStoreFileBatchObject" + x-oaiMeta: + name: Cancel vector store file batch + group: vector_stores + beta: true + returns: The modified vector store file batch object. + examples: + request: + curl: | + curl https://api.openai.com/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123/cancel \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" \ + -X POST + python: | + from openai import OpenAI + client = OpenAI() + + deleted_vector_store_file_batch = client.beta.vector_stores.file_batches.cancel( + vector_store_id="vs_abc123", + file_batch_id="vsfb_abc123" + ) + print(deleted_vector_store_file_batch) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const deletedVectorStoreFileBatch = await openai.vector_stores.fileBatches.cancel( + "vs_abc123", + "vsfb_abc123" + ); + console.log(deletedVectorStoreFileBatch); + } + + main(); + response: | + { + "id": "vsfb_abc123", + "object": "vector_store.file_batch", + "created_at": 1699061776, + "vector_store_id": "vs_abc123", + "status": "cancelling", + "file_counts": { + "in_progress": 12, + "completed": 3, + "failed": 0, + "cancelled": 0, + "total": 15, + } + } + + /vector_stores/{vector_store_id}/file_batches/{batch_id}/files: + get: + operationId: listFilesInVectorStoreBatch + tags: + - Vector Stores + summary: Returns a list of vector store files in a batch. + parameters: + - name: vector_store_id + in: path + description: The ID of the vector store that the files belong to. + required: true + schema: + type: string + - name: batch_id + in: path + description: The ID of the file batch that the files belong to. + required: true + schema: + type: string + - name: limit + in: query + description: *pagination_limit_param_description + required: false + schema: + type: integer + default: 20 + - name: order + in: query + description: *pagination_order_param_description + schema: + type: string + default: desc + enum: ["asc", "desc"] + - name: after + in: query + description: *pagination_after_param_description + schema: + type: string + - name: before + in: query + description: *pagination_before_param_description + schema: + type: string + - name: filter + in: query + description: "Filter by file status. One of `in_progress`, `completed`, `failed`, `cancelled`." + schema: + type: string + enum: ["in_progress", "completed", "failed", "cancelled"] + responses: + "200": + description: OK + content: + application/json: + schema: + $ref: "#/components/schemas/ListVectorStoreFilesResponse" + x-oaiMeta: + name: List vector store files in a batch + group: vector_stores + beta: true + returns: A list of [vector store file](/docs/api-reference/vector-stores-files/file-object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123/files \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -H "OpenAI-Beta: assistants=v2" + python: | + from openai import OpenAI + client = OpenAI() + + vector_store_files = client.beta.vector_stores.file_batches.list_files( + vector_store_id="vs_abc123", + batch_id="vsfb_abc123" + ) + print(vector_store_files) + node.js: | + import OpenAI from "openai"; + const openai = new OpenAI(); + + async function main() { + const vectorStoreFiles = await openai.beta.vectorStores.fileBatches.listFiles( + "vs_abc123", + "vsfb_abc123" + ); + console.log(vectorStoreFiles); + } + + main(); + response: | + { + "object": "list", + "data": [ + { + "id": "file-abc123", + "object": "vector_store.file", + "created_at": 1699061776, + "vector_store_id": "vs_abc123" + }, + { + "id": "file-abc456", + "object": "vector_store.file", + "created_at": 1699061776, + "vector_store_id": "vs_abc123" + } + ], + "first_id": "file-abc123", + "last_id": "file-abc456", + "has_more": false + } + + /batches: + post: + summary: Creates and executes a batch from an uploaded file of requests + operationId: createBatch + tags: + - Batch + requestBody: + required: true + content: + application/json: + schema: + type: object + required: + - input_file_id + - endpoint + - completion_window + properties: + input_file_id: + type: string + description: | + The ID of an uploaded file that contains requests for the new batch. + + See [upload file](/docs/api-reference/files/create) for how to upload a file. + + Your input file must be formatted as a [JSONL file](/docs/api-reference/batch/request-input), and must be uploaded with the purpose `batch`. The file can contain up to 50,000 requests, and can be up to 100 MB in size. + endpoint: + type: string + enum: + [ + "/v1/chat/completions", + "/v1/embeddings", + "/v1/completions", + ] + description: The endpoint to be used for all requests in the batch. Currently `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions` are supported. Note that `/v1/embeddings` batches are also restricted to a maximum of 50,000 embedding inputs across all requests in the batch. + completion_window: + type: string + enum: ["24h"] + description: The time frame within which the batch should be processed. Currently only `24h` is supported. + metadata: + type: object + additionalProperties: + type: string + description: Optional custom metadata for the batch. + nullable: true + responses: + "200": + description: Batch created successfully. + content: + application/json: + schema: + $ref: "#/components/schemas/Batch" + x-oaiMeta: + name: Create batch + group: batch + returns: The created [Batch](/docs/api-reference/batch/object) object. + examples: + request: + curl: | + curl https://api.openai.com/v1/batches \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "input_file_id": "file-abc123", + "endpoint": "/v1/chat/completions", + "completion_window": "24h" + }' + python: | + from openai import OpenAI + client = OpenAI() + + client.batches.create( + input_file_id="file-abc123", + endpoint="/v1/chat/completions", + completion_window="24h" + ) + node: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const batch = await openai.batches.create({ + input_file_id: "file-abc123", + endpoint: "/v1/chat/completions", + completion_window: "24h" + }); + + console.log(batch); + } + + main(); + response: | + { + "id": "batch_abc123", + "object": "batch", + "endpoint": "/v1/chat/completions", + "errors": null, + "input_file_id": "file-abc123", + "completion_window": "24h", + "status": "validating", + "output_file_id": null, + "error_file_id": null, + "created_at": 1711471533, + "in_progress_at": null, + "expires_at": null, + "finalizing_at": null, + "completed_at": null, + "failed_at": null, + "expired_at": null, + "cancelling_at": null, + "cancelled_at": null, + "request_counts": { + "total": 0, + "completed": 0, + "failed": 0 + }, + "metadata": { + "customer_id": "user_123456789", + "batch_description": "Nightly eval job", + } + } + get: + operationId: listBatches + tags: + - Batch + summary: List your organization's batches. + parameters: + - in: query + name: after + required: false + schema: + type: string + description: *pagination_after_param_description + - name: limit + in: query + description: *pagination_limit_param_description + required: false + schema: + type: integer + default: 20 + responses: + "200": + description: Batch listed successfully. + content: + application/json: + schema: + $ref: "#/components/schemas/ListBatchesResponse" + x-oaiMeta: + name: List batch + group: batch + returns: A list of paginated [Batch](/docs/api-reference/batch/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/batches?limit=2 \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" + python: | + from openai import OpenAI + client = OpenAI() + + client.batches.list() + node: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const list = await openai.batches.list(); + + for await (const batch of list) { + console.log(batch); + } + } + + main(); + response: | + { + "object": "list", + "data": [ + { + "id": "batch_abc123", + "object": "batch", + "endpoint": "/v1/chat/completions", + "errors": null, + "input_file_id": "file-abc123", + "completion_window": "24h", + "status": "completed", + "output_file_id": "file-cvaTdG", + "error_file_id": "file-HOWS94", + "created_at": 1711471533, + "in_progress_at": 1711471538, + "expires_at": 1711557933, + "finalizing_at": 1711493133, + "completed_at": 1711493163, + "failed_at": null, + "expired_at": null, + "cancelling_at": null, + "cancelled_at": null, + "request_counts": { + "total": 100, + "completed": 95, + "failed": 5 + }, + "metadata": { + "customer_id": "user_123456789", + "batch_description": "Nightly job", + } + }, + { ... }, + ], + "first_id": "batch_abc123", + "last_id": "batch_abc456", + "has_more": true + } + + /batches/{batch_id}: + get: + operationId: retrieveBatch + tags: + - Batch + summary: Retrieves a batch. + parameters: + - in: path + name: batch_id + required: true + schema: + type: string + description: The ID of the batch to retrieve. + responses: + "200": + description: Batch retrieved successfully. + content: + application/json: + schema: + $ref: "#/components/schemas/Batch" + x-oaiMeta: + name: Retrieve batch + group: batch + returns: The [Batch](/docs/api-reference/batch/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/batches/batch_abc123 \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + python: | + from openai import OpenAI + client = OpenAI() + + client.batches.retrieve("batch_abc123") + node: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const batch = await openai.batches.retrieve("batch_abc123"); + + console.log(batch); + } + + main(); + response: &batch_object | + { + "id": "batch_abc123", + "object": "batch", + "endpoint": "/v1/completions", + "errors": null, + "input_file_id": "file-abc123", + "completion_window": "24h", + "status": "completed", + "output_file_id": "file-cvaTdG", + "error_file_id": "file-HOWS94", + "created_at": 1711471533, + "in_progress_at": 1711471538, + "expires_at": 1711557933, + "finalizing_at": 1711493133, + "completed_at": 1711493163, + "failed_at": null, + "expired_at": null, + "cancelling_at": null, + "cancelled_at": null, + "request_counts": { + "total": 100, + "completed": 95, + "failed": 5 + }, + "metadata": { + "customer_id": "user_123456789", + "batch_description": "Nightly eval job", + } + } + + /batches/{batch_id}/cancel: + post: + operationId: cancelBatch + tags: + - Batch + summary: Cancels an in-progress batch. The batch will be in status `cancelling` for up to 10 minutes, before changing to `cancelled`, where it will have partial results (if any) available in the output file. + parameters: + - in: path + name: batch_id + required: true + schema: + type: string + description: The ID of the batch to cancel. + responses: + "200": + description: Batch is cancelling. Returns the cancelling batch's details. + content: + application/json: + schema: + $ref: "#/components/schemas/Batch" + x-oaiMeta: + name: Cancel batch + group: batch + returns: The [Batch](/docs/api-reference/batch/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/batches/batch_abc123/cancel \ + -H "Authorization: Bearer $OPENAI_API_KEY" \ + -H "Content-Type: application/json" \ + -X POST + python: | + from openai import OpenAI + client = OpenAI() + + client.batches.cancel("batch_abc123") + node: | + import OpenAI from "openai"; + + const openai = new OpenAI(); + + async function main() { + const batch = await openai.batches.cancel("batch_abc123"); + + console.log(batch); + } + + main(); + response: | + { + "id": "batch_abc123", + "object": "batch", + "endpoint": "/v1/chat/completions", + "errors": null, + "input_file_id": "file-abc123", + "completion_window": "24h", + "status": "cancelling", + "output_file_id": null, + "error_file_id": null, + "created_at": 1711471533, + "in_progress_at": 1711471538, + "expires_at": 1711557933, + "finalizing_at": null, + "completed_at": null, + "failed_at": null, + "expired_at": null, + "cancelling_at": 1711475133, + "cancelled_at": null, + "request_counts": { + "total": 100, + "completed": 23, + "failed": 1 + }, + "metadata": { + "customer_id": "user_123456789", + "batch_description": "Nightly eval job", + } + } + + # Organization + # Audit Logs List + /organization/audit_logs: + get: + summary: List user actions and configuration changes within this organization. + operationId: list-audit-logs + tags: + - Audit Logs + parameters: + - name: effective_at + in: query + description: Return only events whose `effective_at` (Unix seconds) is in this range. + required: false + schema: + type: object + properties: + gt: + type: integer + description: Return only events whose `effective_at` (Unix seconds) is greater than this value. + gte: + type: integer + description: Return only events whose `effective_at` (Unix seconds) is greater than or equal to this value. + lt: + type: integer + description: Return only events whose `effective_at` (Unix seconds) is less than this value. + lte: + type: integer + description: Return only events whose `effective_at` (Unix seconds) is less than or equal to this value. + - name: project_ids[] + in: query + description: Return only events for these projects. + required: false + schema: + type: array + items: + type: string + - name: event_types[] + in: query + description: Return only events with a `type` in one of these values. For example, `project.created`. For all options, see the documentation for the [audit log object](/docs/api-reference/audit-logs/object). + required: false + schema: + type: array + items: + $ref: "#/components/schemas/AuditLogEventType" + - name: actor_ids[] + in: query + description: Return only events performed by these actors. Can be a user ID, a service account ID, or an api key tracking ID. + required: false + schema: + type: array + items: + type: string + - name: actor_emails[] + in: query + description: Return only events performed by users with these emails. + required: false + schema: + type: array + items: + type: string + - name: resource_ids[] + in: query + description: Return only events performed on these targets. For example, a project ID updated. + required: false + schema: + type: array + items: + type: string + - name: limit + in: query + description: *pagination_limit_param_description + required: false + schema: + type: integer + default: 20 + - name: after + in: query + description: *pagination_after_param_description + schema: + type: string + - name: before + in: query + description: *pagination_before_param_description + schema: + type: string + responses: + "200": + description: Audit logs listed successfully. + content: + application/json: + schema: + $ref: "#/components/schemas/ListAuditLogsResponse" + x-oaiMeta: + name: List audit logs + group: audit-logs + returns: A list of paginated [Audit Log](/docs/api-reference/audit-logs/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/organization/audit_logs \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" \ + response: | + { + "object": "list", + "data": [ + { + "id": "audit_log-xxx_yyyymmdd", + "type": "project.archived", + "effective_at": 1722461446, + "actor": { + "type": "api_key", + "api_key": { + "type": "user", + "user": { + "id": "user-xxx", + "email": "user@example.com" + } + } + }, + "project.archived": { + "id": "proj_abc" + }, + }, + { + "id": "audit_log-yyy__20240101", + "type": "api_key.updated", + "effective_at": 1720804190, + "actor": { + "type": "session", + "session": { + "user": { + "id": "user-xxx", + "email": "user@example.com" + }, + "ip_address": "127.0.0.1", + "user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36" + } + }, + "api_key.updated": { + "id": "key_xxxx", + "data": { + "scopes": ["resource_2.operation_2"] + } + }, + } + ], + "first_id": "audit_log-xxx__20240101", + "last_id": "audit_log_yyy__20240101", + "has_more": true + } + /organization/invites: + get: + summary: Returns a list of invites in the organization. + operationId: list-invites + tags: + - Invites + parameters: + - name: limit + in: query + description: *pagination_limit_param_description + required: false + schema: + type: integer + default: 20 + - name: after + in: query + description: *pagination_after_param_description + required: false + schema: + type: string + responses: + "200": + description: Invites listed successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/InviteListResponse' + x-oaiMeta: + name: List invites + group: administration + returns: A list of [Invite](/docs/api-reference/invite/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/organization/invites?after=invite-abc&limit=20 \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "list", + "data": [ + { + "object": "organization.invite", + "id": "invite-abc", + "email": "user@example.com", + "role": "owner", + "status": "accepted", + "invited_at": 1711471533, + "expires_at": 1711471533, + "accepted_at": 1711471533 + } + ], + "first_id": "invite-abc", + "last_id": "invite-abc", + "has_more": false + } + + post: + summary: Create an invite for a user to the organization. The invite must be accepted by the user before they have access to the organization. + operationId: inviteUser + tags: + - Invites + requestBody: + description: The invite request payload. + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/InviteRequest' + responses: + "200": + description: User invited successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/Invite' + x-oaiMeta: + name: Create invite + group: administration + returns: The created [Invite](/docs/api-reference/invite/object) object. + examples: + request: + curl: | + curl -X POST https://api.openai.com/v1/organization/invites \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "email": "user@example.com", + "role": "owner" + }' + response: + content: | + { + "object": "organization.invite", + "id": "invite-abc", + "email": "user@example.com", + "role": "owner", + "invited_at": 1711471533, + "expires_at": 1711471533, + "accepted_at": null + } + + /organization/invites/{invite_id}: + get: + summary: Retrieves an invite. + operationId: retrieve-invite + tags: + - Invites + parameters: + - in: path + name: invite_id + required: true + schema: + type: string + description: The ID of the invite to retrieve. + responses: + "200": + description: Invite retrieved successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/Invite' + x-oaiMeta: + name: Retrieve invite + group: administration + returns: The [Invite](/docs/api-reference/invite/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/organization/invites/invite-abc \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "organization.invite", + "id": "invite-abc", + "email": "user@example.com", + "role": "owner", + "status": "accepted", + "invited_at": 1711471533, + "expires_at": 1711471533, + "accepted_at": 1711471533 + } + delete: + summary: Delete an invite. If the invite has already been accepted, it cannot be deleted. + operationId: delete-invite + tags: + - Invites + parameters: + - in: path + name: invite_id + required: true + schema: + type: string + description: The ID of the invite to delete. + responses: + "200": + description: Invite deleted successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/InviteDeleteResponse' + x-oaiMeta: + name: Delete invite + group: administration + returns: Confirmation that the invite has been deleted + examples: + request: + curl: | + curl -X DELETE https://api.openai.com/v1/organization/invites/invite-abc \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "organization.invite.deleted", + "id": "invite-abc", + "deleted": true + } + + /organization/users: + get: + summary: Lists all of the users in the organization. + operationId: list-users + tags: + - Users + parameters: + - name: limit + in: query + description: *pagination_limit_param_description + required: false + schema: + type: integer + default: 20 + - name: after + in: query + description: *pagination_after_param_description + required: false + schema: + type: string + responses: + "200": + description: Users listed successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/UserListResponse' + x-oaiMeta: + name: List users + group: administration + returns: A list of [User](/docs/api-reference/users/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/organization/users?after=user_abc&limit=20 \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "list", + "data": [ + { + "object": "organization.user", + "id": "user_abc", + "name": "First Last", + "email": "user@example.com", + "role": "owner", + "added_at": 1711471533 + } + ], + "first_id": "user-abc", + "last_id": "user-xyz", + "has_more": false + } + + /organization/users/{user_id}: + get: + summary: Retrieves a user by their identifier. + operationId: retrieve-user + tags: + - Users + parameters: + - name: user_id + in: path + description: The ID of the user. + required: true + schema: + type: string + responses: + "200": + description: User retrieved successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/User' + x-oaiMeta: + name: Retrieve user + group: administration + returns: The [User](/docs/api-reference/users/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/organization/users/user_abc \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "organization.user", + "id": "user_abc", + "name": "First Last", + "email": "user@example.com", + "role": "owner", + "added_at": 1711471533 + } + + post: + summary: Modifies a user's role in the organization. + operationId: modify-user + tags: + - Users + requestBody: + description: The new user role to modify. This must be one of `owner` or `member`. + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/UserRoleUpdateRequest' + responses: + "200": + description: User role updated successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/User' + x-oaiMeta: + name: Modify user + group: administration + returns: The updated [User](/docs/api-reference/users/object) object. + examples: + request: + curl: | + curl -X POST https://api.openai.com/v1/organization/users/user_abc \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "role": "owner" + }' + response: + content: | + { + "object": "organization.user", + "id": "user_abc", + "name": "First Last", + "email": "user@example.com", + "role": "owner", + "added_at": 1711471533 + } + + delete: + summary: Deletes a user from the organization. + operationId: delete-user + tags: + - Users + parameters: + - name: user_id + in: path + description: The ID of the user. + required: true + schema: + type: string + responses: + "200": + description: User deleted successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/UserDeleteResponse' + x-oaiMeta: + name: Delete user + group: administration + returns: Confirmation of the deleted user + examples: + request: + curl: | + curl -X DELETE https://api.openai.com/v1/organization/users/user_abc \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "organization.user.deleted", + "id": "user_abc", + "deleted": true + } + /organization/projects: + get: + summary: Returns a list of projects. + operationId: list-projects + tags: + - Projects + parameters: + - name: limit + in: query + description: *pagination_limit_param_description + required: false + schema: + type: integer + default: 20 + - name: after + in: query + description: *pagination_after_param_description + required: false + schema: + type: string + - name: include_archived + in: query + schema: + type: boolean + default: false + description: If `true` returns all projects including those that have been `archived`. Archived projects are not included by default. + responses: + "200": + description: Projects listed successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectListResponse' + x-oaiMeta: + name: List projects + group: administration + returns: A list of [Project](/docs/api-reference/projects/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/organization/projects?after=proj_abc&limit=20&include_archived=false \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "list", + "data": [ + { + "id": "proj_abc", + "object": "organization.project", + "name": "Project example", + "created_at": 1711471533, + "archived_at": null, + "status": "active" + } + ], + "first_id": "proj-abc", + "last_id": "proj-xyz", + "has_more": false + } + + post: + summary: Create a new project in the organization. Projects can be created and archived, but cannot be deleted. + operationId: create-project + tags: + - Projects + requestBody: + description: The project create request payload. + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectCreateRequest' + responses: + "200": + description: Project created successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/Project' + x-oaiMeta: + name: Create project + group: administration + returns: The created [Project](/docs/api-reference/projects/object) object. + examples: + request: + curl: | + curl -X POST https://api.openai.com/v1/organization/projects \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "name": "Project ABC" + }' + response: + content: | + { + "id": "proj_abc", + "object": "organization.project", + "name": "Project ABC", + "created_at": 1711471533, + "archived_at": null, + "status": "active" + } + + /organization/projects/{project_id}: + get: + summary: Retrieves a project. + operationId: retrieve-project + tags: + - Projects + parameters: + - name: project_id + in: path + description: The ID of the project. + required: true + schema: + type: string + responses: + "200": + description: Project retrieved successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/Project' + x-oaiMeta: + name: Retrieve project + group: administration + description: Retrieve a project. + returns: The [Project](/docs/api-reference/projects/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/organization/projects/proj_abc \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "id": "proj_abc", + "object": "organization.project", + "name": "Project example", + "created_at": 1711471533, + "archived_at": null, + "status": "active" + } + + post: + summary: Modifies a project in the organization. + operationId: modify-project + tags: + - Projects + requestBody: + description: The project update request payload. + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectUpdateRequest' + responses: + "200": + description: Project updated successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/Project' + "400": + description: Error response when updating the default project. + content: + application/json: + schema: + $ref: '#/components/schemas/ErrorResponse' + x-oaiMeta: + name: Modify project + group: administration + returns: The updated [Project](/docs/api-reference/projects/object) object. + examples: + request: + curl: | + curl -X POST https://api.openai.com/v1/organization/projects/proj_abc \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "name": "Project DEF" + }' + + /organization/projects/{project_id}/archive: + post: + summary: Archives a project in the organization. Archived projects cannot be used or updated. + operationId: archive-project + tags: + - Projects + parameters: + - name: project_id + in: path + description: The ID of the project. + required: true + schema: + type: string + responses: + "200": + description: Project archived successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/Project' + x-oaiMeta: + name: Archive project + group: administration + returns: The archived [Project](/docs/api-reference/projects/object) object. + examples: + request: + curl: | + curl -X POST https://api.openai.com/v1/organization/projects/proj_abc/archive \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "id": "proj_abc", + "object": "organization.project", + "name": "Project DEF", + "created_at": 1711471533, + "archived_at": 1711471533, + "status": "archived" + } + + + /organization/projects/{project_id}/users: + get: + summary: Returns a list of users in the project. + operationId: list-project-users + tags: + - Projects + parameters: + - name: project_id + in: path + description: The ID of the project. + required: true + schema: + type: string + - name: limit + in: query + description: *pagination_limit_param_description + required: false + schema: + type: integer + default: 20 + - name: after + in: query + description: *pagination_after_param_description + required: false + schema: + type: string + responses: + "200": + description: Project users listed successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectUserListResponse' + "400": + description: Error response when project is archived. + content: + application/json: + schema: + $ref: '#/components/schemas/ErrorResponse' + x-oaiMeta: + name: List project users + group: administration + returns: A list of [ProjectUser](/docs/api-reference/project-users/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/organization/projects/proj_abc/users?after=user_abc&limit=20 \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "list", + "data": [ + { + "object": "organization.project.user", + "id": "user_abc", + "name": "First Last", + "email": "user@example.com", + "role": "owner", + "added_at": 1711471533 + } + ], + "first_id": "user-abc", + "last_id": "user-xyz", + "has_more": false + } + error_response: + content: | + { + "code": 400, + "message": "Project {name} is archived" + } + + post: + summary: Adds a user to the project. Users must already be members of the organization to be added to a project. + operationId: create-project-user + parameters: + - name: project_id + in: path + description: The ID of the project. + required: true + schema: + type: string + tags: + - Projects + requestBody: + description: The project user create request payload. + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectUserCreateRequest' + responses: + "200": + description: User added to project successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectUser' + "400": + description: Error response for various conditions. + content: + application/json: + schema: + $ref: '#/components/schemas/ErrorResponse' + x-oaiMeta: + name: Create project user + group: administration + returns: The created [ProjectUser](/docs/api-reference/project-users/object) object. + examples: + request: + curl: | + curl -X POST https://api.openai.com/v1/organization/projects/proj_abc/users \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "user_id": "user_abc", + "role": "member" + }' + response: + content: | + { + "object": "organization.project.user", + "id": "user_abc", + "email": "user@example.com", + "role": "owner", + "added_at": 1711471533 + } + error_response: + content: | + { + "code": 400, + "message": "Project {name} is archived" + } + + /organization/projects/{project_id}/users/{user_id}: + get: + summary: Retrieves a user in the project. + operationId: retrieve-project-user + tags: + - Projects + parameters: + - name: project_id + in: path + description: The ID of the project. + required: true + schema: + type: string + - name: user_id + in: path + description: The ID of the user. + required: true + schema: + type: string + responses: + "200": + description: Project user retrieved successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectUser' + x-oaiMeta: + name: Retrieve project user + group: administration + returns: The [ProjectUser](/docs/api-reference/project-users/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/organization/projects/proj_abc/users/user_abc \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "organization.project.user", + "id": "user_abc", + "name": "First Last", + "email": "user@example.com", + "role": "owner", + "added_at": 1711471533 + } + + post: + summary: Modifies a user's role in the project. + operationId: modify-project-user + tags: + - Projects + requestBody: + description: The project user update request payload. + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectUserUpdateRequest' + responses: + "200": + description: Project user's role updated successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectUser' + "400": + description: Error response for various conditions. + content: + application/json: + schema: + $ref: '#/components/schemas/ErrorResponse' + x-oaiMeta: + name: Modify project user + group: administration + returns: The updated [ProjectUser](/docs/api-reference/project-users/object) object. + examples: + request: + curl: | + curl -X POST https://api.openai.com/v1/organization/projects/proj_abc/users/user_abc \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "role": "owner" + }' + response: + content: | + { + "object": "organization.project.user", + "id": "user_abc", + "name": "First Last", + "email": "user@example.com", + "role": "owner", + "added_at": 1711471533 + } + + delete: + summary: Deletes a user from the project. + operationId: delete-project-user + tags: + - Projects + parameters: + - name: project_id + in: path + description: The ID of the project. + required: true + schema: + type: string + - name: user_id + in: path + description: The ID of the user. + required: true + schema: + type: string + responses: + "200": + description: Project user deleted successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectUserDeleteResponse' + "400": + description: Error response for various conditions. + content: + application/json: + schema: + $ref: '#/components/schemas/ErrorResponse' + x-oaiMeta: + name: Delete project user + group: administration + returns: Confirmation that project has been deleted or an error in case of an archived project, which has no users + examples: + request: + curl: | + curl -X DELETE https://api.openai.com/v1/organization/projects/proj_abc/users/user_abc \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "organization.project.user.deleted", + "id": "user_abc", + "deleted": true + } + + /organization/projects/{project_id}/service_accounts: + get: + summary: Returns a list of service accounts in the project. + operationId: list-project-service-accounts + tags: + - Projects + parameters: + - name: project_id + in: path + description: The ID of the project. + required: true + schema: + type: string + - name: limit + in: query + description: *pagination_limit_param_description + required: false + schema: + type: integer + default: 20 + - name: after + in: query + description: *pagination_after_param_description + required: false + schema: + type: string + responses: + "200": + description: Project service accounts listed successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectServiceAccountListResponse' + "400": + description: Error response when project is archived. + content: + application/json: + schema: + $ref: '#/components/schemas/ErrorResponse' + x-oaiMeta: + name: List project service accounts + group: administration + returns: A list of [ProjectServiceAccount](/docs/api-reference/project-service-accounts/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/organization/projects/proj_abc/service_accounts?after=custom_id&limit=20 \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "list", + "data": [ + { + "object": "organization.project.service_account", + "id": "svc_acct_abc", + "name": "Service Account", + "role": "owner", + "created_at": 1711471533 + } + ], + "first_id": "svc_acct_abc", + "last_id": "svc_acct_xyz", + "has_more": false + } + + post: + summary: Creates a new service account in the project. This also returns an unredacted API key for the service account. + operationId: create-project-service-account + tags: + - Projects + parameters: + - name: project_id + in: path + description: The ID of the project. + required: true + schema: + type: string + requestBody: + description: The project service account create request payload. + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectServiceAccountCreateRequest' + responses: + "200": + description: Project service account created successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectServiceAccountCreateResponse' + "400": + description: Error response when project is archived. + content: + application/json: + schema: + $ref: '#/components/schemas/ErrorResponse' + x-oaiMeta: + name: Create project service account + group: administration + returns: The created [ProjectServiceAccount](/docs/api-reference/project-service-accounts/object) object. + examples: + request: + curl: | + curl -X POST https://api.openai.com/v1/organization/projects/proj_abc/service_accounts \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "name": "Production App" + }' + response: + content: | + { + "object": "organization.project.service_account", + "id": "svc_acct_abc", + "name": "Production App", + "role": "member", + "created_at": 1711471533, + "api_key": { + "object": "organization.project.service_account.api_key", + "value": "sk-abcdefghijklmnop123", + "name": "Secret Key", + "created_at": 1711471533, + "id": "key_abc" + } + } + + /organization/projects/{project_id}/service_accounts/{service_account_id}: + get: + summary: Retrieves a service account in the project. + operationId: retrieve-project-service-account + tags: + - Projects + parameters: + - name: project_id + in: path + description: The ID of the project. + required: true + schema: + type: string + - name: service_account_id + in: path + description: The ID of the service account. + required: true + schema: + type: string + responses: + "200": + description: Project service account retrieved successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectServiceAccount' + x-oaiMeta: + name: Retrieve project service account + group: administration + returns: The [ProjectServiceAccount](/docs/api-reference/project-service-accounts/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/organization/projects/proj_abc/service_accounts/svc_acct_abc \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "organization.project.service_account", + "id": "svc_acct_abc", + "name": "Service Account", + "role": "owner", + "created_at": 1711471533 + } + + delete: + summary: Deletes a service account from the project. + operationId: delete-project-service-account + tags: + - Projects + parameters: + - name: project_id + in: path + description: The ID of the project. + required: true + schema: + type: string + - name: service_account_id + in: path + description: The ID of the service account. + required: true + schema: + type: string + responses: + "200": + description: Project service account deleted successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectServiceAccountDeleteResponse' + x-oaiMeta: + name: Delete project service account + group: administration + returns: Confirmation of service account being deleted, or an error in case of an archived project, which has no service accounts + examples: + request: + curl: | + curl -X DELETE https://api.openai.com/v1/organization/projects/proj_abc/service_accounts/svc_acct_abc \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "organization.project.service_account.deleted", + "id": "svc_acct_abc", + "deleted": true + } + + /organization/projects/{project_id}/api_keys: + get: + summary: Returns a list of API keys in the project. + operationId: list-project-api-keys + tags: + - Projects + parameters: + - name: project_id + in: path + description: The ID of the project. + required: true + schema: + type: string + - name: limit + in: query + description: *pagination_limit_param_description + required: false + schema: + type: integer + default: 20 + - name: after + in: query + description: *pagination_after_param_description + required: false + schema: + type: string + responses: + "200": + description: Project API keys listed successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectApiKeyListResponse' + + x-oaiMeta: + name: List project API keys + group: administration + returns: A list of [ProjectApiKey](/docs/api-reference/project-api-keys/object) objects. + examples: + request: + curl: | + curl https://api.openai.com/v1/organization/projects/proj_abc/api_keys?after=key_abc&limit=20 \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "list", + "data": [ + { + "object": "organization.project.api_key", + "redacted_value": "sk-abc...def", + "name": "My API Key", + "created_at": 1711471533, + "id": "key_abc", + "owner": { + "type": "user", + "user": { + "object": "organization.project.user", + "id": "user_abc", + "name": "First Last", + "email": "user@example.com", + "role": "owner", + "added_at": 1711471533 + } + } + } + ], + "first_id": "key_abc", + "last_id": "key_xyz", + "has_more": false + } + error_response: + content: | + { + "code": 400, + "message": "Project {name} is archived" + } + + /organization/projects/{project_id}/api_keys/{key_id}: + get: + summary: Retrieves an API key in the project. + operationId: retrieve-project-api-key + tags: + - Projects + parameters: + - name: project_id + in: path + description: The ID of the project. + required: true + schema: + type: string + - name: key_id + in: path + description: The ID of the API key. + required: true + schema: + type: string + responses: + "200": + description: Project API key retrieved successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectApiKey' + x-oaiMeta: + name: Retrieve project API key + group: administration + returns: The [ProjectApiKey](/docs/api-reference/project-api-keys/object) object matching the specified ID. + examples: + request: + curl: | + curl https://api.openai.com/v1/organization/projects/proj_abc/api_keys/key_abc \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "organization.project.api_key", + "redacted_value": "sk-abc...def", + "name": "My API Key", + "created_at": 1711471533, + "id": "key_abc", + "owner": { + "type": "user", + "user": { + "object": "organization.project.user", + "id": "user_abc", + "name": "First Last", + "email": "user@example.com", + "role": "owner", + "added_at": 1711471533 + } + } + } + + delete: + summary: Deletes an API key from the project. + operationId: delete-project-api-key + tags: + - Projects + parameters: + - name: project_id + in: path + description: The ID of the project. + required: true + schema: + type: string + - name: key_id + in: path + description: The ID of the API key. + required: true + schema: + type: string + responses: + "200": + description: Project API key deleted successfully. + content: + application/json: + schema: + $ref: '#/components/schemas/ProjectApiKeyDeleteResponse' + "400": + description: Error response for various conditions. + content: + application/json: + schema: + $ref: '#/components/schemas/ErrorResponse' + x-oaiMeta: + name: Delete project API key + group: administration + returns: Confirmation of the key's deletion or an error if the key belonged to a service account + examples: + request: + curl: | + curl -X DELETE https://api.openai.com/v1/organization/projects/proj_abc/api_keys/key_abc \ + -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \ + -H "Content-Type: application/json" + response: + content: | + { + "object": "organization.project.api_key.deleted", + "id": "key_abc", + "deleted": true + } + error_response: + content: | + { + "code": 400, + "message": "API keys cannot be deleted for service accounts, please delete the service account" + } + +components: + securitySchemes: + ApiKeyAuth: + type: http + scheme: "bearer" + + schemas: + Error: + type: object + properties: + code: + type: string + nullable: true + message: + type: string + nullable: false + param: + type: string + nullable: true + type: + type: string + nullable: false + required: + - type + - message + - param + - code + ErrorResponse: + type: object + properties: + error: + $ref: "#/components/schemas/Error" + required: + - error + + ListModelsResponse: + type: object + properties: + object: + type: string + enum: [list] + data: + type: array + items: + $ref: "#/components/schemas/Model" + required: + - object + - data + DeleteModelResponse: + type: object + properties: + id: + type: string + deleted: + type: boolean + object: + type: string + required: + - id + - object + - deleted + + CreateCompletionRequest: + type: object + properties: + model: + description: &model_description | + ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. + anyOf: + - type: string + - type: string + enum: ["gpt-3.5-turbo-instruct", "davinci-002", "babbage-002"] + x-oaiTypeLabel: string + prompt: + description: &completions_prompt_description | + The prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays. + + Note that <|endoftext|> is the document separator that the model sees during training, so if a prompt is not specified the model will generate as if from the beginning of a new document. + default: "<|endoftext|>" + nullable: true + oneOf: + - type: string + default: "" + example: "This is a test." + - type: array + items: + type: string + default: "" + example: "This is a test." + - type: array + minItems: 1 + items: + type: integer + example: "[1212, 318, 257, 1332, 13]" + - type: array + minItems: 1 + items: + type: array + minItems: 1 + items: + type: integer + example: "[[1212, 318, 257, 1332, 13]]" + best_of: + type: integer + default: 1 + minimum: 0 + maximum: 20 + nullable: true + description: &completions_best_of_description | + Generates `best_of` completions server-side and returns the "best" (the one with the highest log probability per token). Results cannot be streamed. + + When used with `n`, `best_of` controls the number of candidate completions and `n` specifies how many to return – `best_of` must be greater than `n`. + + **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`. + echo: + type: boolean + default: false + nullable: true + description: &completions_echo_description > + Echo back the prompt in addition to the completion + frequency_penalty: + type: number + default: 0 + minimum: -2 + maximum: 2 + nullable: true + description: &completions_frequency_penalty_description | + Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. + + [See more information about frequency and presence penalties.](/docs/guides/text-generation/parameter-details) + logit_bias: &completions_logit_bias + type: object + x-oaiTypeLabel: map + default: null + nullable: true + additionalProperties: + type: integer + description: &completions_logit_bias_description | + Modify the likelihood of specified tokens appearing in the completion. + + Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. + + As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token from being generated. + logprobs: &completions_logprobs_configuration + type: integer + minimum: 0 + maximum: 5 + default: null + nullable: true + description: &completions_logprobs_description | + Include the log probabilities on the `logprobs` most likely output tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. + + The maximum value for `logprobs` is 5. + max_tokens: + type: integer + minimum: 0 + default: 16 + example: 16 + nullable: true + description: &completions_max_tokens_description | + The maximum number of [tokens](/tokenizer) that can be generated in the completion. + + The token count of your prompt plus `max_tokens` cannot exceed the model's context length. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens. + n: + type: integer + minimum: 1 + maximum: 128 + default: 1 + example: 1 + nullable: true + description: &completions_completions_description | + How many completions to generate for each prompt. + + **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`. + presence_penalty: + type: number + default: 0 + minimum: -2 + maximum: 2 + nullable: true + description: &completions_presence_penalty_description | + Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. + + [See more information about frequency and presence penalties.](/docs/guides/text-generation/parameter-details) + seed: &completions_seed_param + type: integer + minimum: -9223372036854775808 + maximum: 9223372036854775807 + nullable: true + description: | + If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result. + + Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend. + stop: + description: &completions_stop_description > + Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. + default: null + nullable: true + oneOf: + - type: string + default: <|endoftext|> + example: "\n" + nullable: true + - type: array + minItems: 1 + maxItems: 4 + items: + type: string + example: '["\n"]' + stream: + description: > + Whether to stream back partial progress. If set, tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) + as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions). + type: boolean + nullable: true + default: false + stream_options: + $ref: "#/components/schemas/ChatCompletionStreamOptions" + suffix: + description: | + The suffix that comes after a completion of inserted text. + + This parameter is only supported for `gpt-3.5-turbo-instruct`. + default: null + nullable: true + type: string + example: "test." + temperature: + type: number + minimum: 0 + maximum: 2 + default: 1 + example: 1 + nullable: true + description: &completions_temperature_description | + What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. + + We generally recommend altering this or `top_p` but not both. + top_p: + type: number + minimum: 0 + maximum: 1 + default: 1 + example: 1 + nullable: true + description: &completions_top_p_description | + An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. + + We generally recommend altering this or `temperature` but not both. + user: &end_user_param_configuration + type: string + example: user-1234 + description: | + A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). + required: + - model + - prompt + + CreateCompletionResponse: + type: object + description: | + Represents a completion response from the API. Note: both the streamed and non-streamed response objects share the same shape (unlike the chat endpoint). + properties: + id: + type: string + description: A unique identifier for the completion. + choices: + type: array + description: The list of completion choices the model generated for the input prompt. + items: + type: object + required: + - finish_reason + - index + - logprobs + - text + properties: + finish_reason: + type: string + description: &completion_finish_reason_description | + The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence, + `length` if the maximum number of tokens specified in the request was reached, + or `content_filter` if content was omitted due to a flag from our content filters. + enum: ["stop", "length", "content_filter"] + index: + type: integer + logprobs: + type: object + nullable: true + properties: + text_offset: + type: array + items: + type: integer + token_logprobs: + type: array + items: + type: number + tokens: + type: array + items: + type: string + top_logprobs: + type: array + items: + type: object + additionalProperties: + type: number + text: + type: string + created: + type: integer + description: The Unix timestamp (in seconds) of when the completion was created. + model: + type: string + description: The model used for completion. + system_fingerprint: + type: string + description: | + This fingerprint represents the backend configuration that the model runs with. + + Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism. + object: + type: string + description: The object type, which is always "text_completion" + enum: [text_completion] + usage: + $ref: "#/components/schemas/CompletionUsage" + required: + - id + - object + - created + - model + - choices + x-oaiMeta: + name: The completion object + legacy: true + example: | + { + "id": "cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7", + "object": "text_completion", + "created": 1589478378, + "model": "gpt-4-turbo", + "choices": [ + { + "text": "\n\nThis is indeed a test", + "index": 0, + "logprobs": null, + "finish_reason": "length" + } + ], + "usage": { + "prompt_tokens": 5, + "completion_tokens": 7, + "total_tokens": 12 + } + } + + ChatCompletionRequestMessageContentPartText: + type: object + title: Text content part + properties: + type: + type: string + enum: ["text"] + description: The type of the content part. + text: + type: string + description: The text content. + required: + - type + - text + + ChatCompletionRequestMessageContentPartImage: + type: object + title: Image content part + properties: + type: + type: string + enum: ["image_url"] + description: The type of the content part. + image_url: + type: object + properties: + url: + type: string + description: Either a URL of the image or the base64 encoded image data. + format: uri + detail: + type: string + description: Specifies the detail level of the image. Learn more in the [Vision guide](/docs/guides/vision/low-or-high-fidelity-image-understanding). + enum: ["auto", "low", "high"] + default: "auto" + required: + - url + required: + - type + - image_url + + ChatCompletionRequestMessageContentPartRefusal: + type: object + title: Refusal content part + properties: + type: + type: string + enum: ["refusal"] + description: The type of the content part. + refusal: + type: string + description: The refusal message generated by the model. + required: + - type + - refusal + + ChatCompletionRequestMessage: + oneOf: + - $ref: "#/components/schemas/ChatCompletionRequestSystemMessage" + - $ref: "#/components/schemas/ChatCompletionRequestUserMessage" + - $ref: "#/components/schemas/ChatCompletionRequestAssistantMessage" + - $ref: "#/components/schemas/ChatCompletionRequestToolMessage" + - $ref: "#/components/schemas/ChatCompletionRequestFunctionMessage" + x-oaiExpandable: true + + ChatCompletionRequestSystemMessageContentPart: + oneOf: + - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText" + x-oaiExpandable: true + + ChatCompletionRequestUserMessageContentPart: + oneOf: + - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText" + - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartImage" + x-oaiExpandable: true + + ChatCompletionRequestAssistantMessageContentPart: + oneOf: + - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText" + - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartRefusal" + x-oaiExpandable: true + + ChatCompletionRequestToolMessageContentPart: + oneOf: + - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText" + x-oaiExpandable: true + + ChatCompletionRequestSystemMessage: + type: object + title: System message + properties: + content: + description: The contents of the system message. + oneOf: + - type: string + description: The contents of the system message. + title: Text content + - type: array + description: An array of content parts with a defined type. For system messages, only type `text` is supported. + title: Array of content parts + items: + $ref: "#/components/schemas/ChatCompletionRequestSystemMessageContentPart" + minItems: 1 + role: + type: string + enum: ["system"] + description: The role of the messages author, in this case `system`. + name: + type: string + description: An optional name for the participant. Provides the model information to differentiate between participants of the same role. + required: + - content + - role + + ChatCompletionRequestUserMessage: + type: object + title: User message + properties: + content: + description: | + The contents of the user message. + oneOf: + - type: string + description: The text contents of the message. + title: Text content + - type: array + description: An array of content parts with a defined type, each can be of type `text` or `image_url` when passing in images. You can pass multiple images by adding multiple `image_url` content parts. Image input is only supported when using the `gpt-4o` model. + title: Array of content parts + items: + $ref: "#/components/schemas/ChatCompletionRequestUserMessageContentPart" + minItems: 1 + x-oaiExpandable: true + role: + type: string + enum: ["user"] + description: The role of the messages author, in this case `user`. + name: + type: string + description: An optional name for the participant. Provides the model information to differentiate between participants of the same role. + required: + - content + - role + + ChatCompletionRequestAssistantMessage: + type: object + title: Assistant message + properties: + content: + nullable: true + oneOf: + - type: string + description: The contents of the assistant message. + title: Text content + - type: array + description: An array of content parts with a defined type. Can be one or more of type `text`, or exactly one of type `refusal`. + title: Array of content parts + items: + $ref: "#/components/schemas/ChatCompletionRequestAssistantMessageContentPart" + minItems: 1 + description: | + The contents of the assistant message. Required unless `tool_calls` or `function_call` is specified. + refusal: + nullable: true + type: string + description: The refusal message by the assistant. + role: + type: string + enum: ["assistant"] + description: The role of the messages author, in this case `assistant`. + name: + type: string + description: An optional name for the participant. Provides the model information to differentiate between participants of the same role. + tool_calls: + $ref: "#/components/schemas/ChatCompletionMessageToolCalls" + function_call: + type: object + deprecated: true + description: "Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model." + nullable: true + properties: + arguments: + type: string + description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function. + name: + type: string + description: The name of the function to call. + required: + - arguments + - name + required: + - role + + FineTuneChatCompletionRequestAssistantMessage: + allOf: + - type: object + title: Assistant message + deprecated: false + properties: + weight: + type: integer + enum: [0, 1] + description: "Controls whether the assistant message is trained against (0 or 1)" + - $ref: "#/components/schemas/ChatCompletionRequestAssistantMessage" + required: + - role + + ChatCompletionRequestToolMessage: + type: object + title: Tool message + properties: + role: + type: string + enum: ["tool"] + description: The role of the messages author, in this case `tool`. + content: + oneOf: + - type: string + description: The contents of the tool message. + title: Text content + - type: array + description: An array of content parts with a defined type. For tool messages, only type `text` is supported. + title: Array of content parts + items: + $ref: "#/components/schemas/ChatCompletionRequestToolMessageContentPart" + minItems: 1 + description: The contents of the tool message. + tool_call_id: + type: string + description: Tool call that this message is responding to. + required: + - role + - content + - tool_call_id + + ChatCompletionRequestFunctionMessage: + type: object + title: Function message + deprecated: true + properties: + role: + type: string + enum: ["function"] + description: The role of the messages author, in this case `function`. + content: + nullable: true + type: string + description: The contents of the function message. + name: + type: string + description: The name of the function to call. + required: + - role + - content + - name + + FunctionParameters: + type: object + description: "The parameters the functions accepts, described as a JSON Schema object. See the [guide](/docs/guides/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. \n\nOmitting `parameters` defines a function with an empty parameter list." + additionalProperties: true + + ChatCompletionFunctions: + type: object + deprecated: true + properties: + description: + type: string + description: A description of what the function does, used by the model to choose when and how to call the function. + name: + type: string + description: The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. + parameters: + $ref: "#/components/schemas/FunctionParameters" + required: + - name + + ChatCompletionFunctionCallOption: + type: object + description: > + Specifying a particular function via `{"name": "my_function"}` forces the model to call that function. + properties: + name: + type: string + description: The name of the function to call. + required: + - name + + ChatCompletionTool: + type: object + properties: + type: + type: string + enum: ["function"] + description: The type of the tool. Currently, only `function` is supported. + function: + $ref: "#/components/schemas/FunctionObject" + required: + - type + - function + + FunctionObject: + type: object + properties: + description: + type: string + description: A description of what the function does, used by the model to choose when and how to call the function. + name: + type: string + description: The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. + parameters: + $ref: "#/components/schemas/FunctionParameters" + strict: + type: boolean + nullable: true + default: false + description: Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the `parameters` field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn more about Structured Outputs in the [function calling guide](docs/guides/function-calling). + required: + - name + + ResponseFormatText: + type: object + properties: + type: + type: string + description: "The type of response format being defined: `text`" + enum: ["text"] + required: + - type + + ResponseFormatJsonObject: + type: object + properties: + type: + type: string + description: "The type of response format being defined: `json_object`" + enum: ["json_object"] + required: + - type + + ResponseFormatJsonSchemaSchema: + type: object + description: "The schema for the response format, described as a JSON Schema object." + additionalProperties: true + + ResponseFormatJsonSchema: + type: object + properties: + type: + type: string + description: 'The type of response format being defined: `json_schema`' + enum: ['json_schema'] + json_schema: + type: object + properties: + description: + type: string + description: A description of what the response format is for, used by the model to determine how to respond in the format. + name: + type: string + description: The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. + schema: + $ref: '#/components/schemas/ResponseFormatJsonSchemaSchema' + strict: + type: boolean + nullable: true + default: false + description: Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the `schema` field. Only a subset of JSON Schema is supported when `strict` is `true`. To learn more, read the [Structured Outputs guide](/docs/guides/structured-outputs). + required: + - type + - name + required: + - type + - json_schema + + ChatCompletionToolChoiceOption: + description: | + Controls which (if any) tool is called by the model. + `none` means the model will not call any tool and instead generates a message. + `auto` means the model can pick between generating a message or calling one or more tools. + `required` means the model must call one or more tools. + Specifying a particular tool via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that tool. + + `none` is the default when no tools are present. `auto` is the default if tools are present. + oneOf: + - type: string + description: > + `none` means the model will not call any tool and instead generates a message. + `auto` means the model can pick between generating a message or calling one or more tools. + `required` means the model must call one or more tools. + enum: [none, auto, required] + - $ref: "#/components/schemas/ChatCompletionNamedToolChoice" + x-oaiExpandable: true + + ChatCompletionNamedToolChoice: + type: object + description: Specifies a tool the model should use. Use to force the model to call a specific function. + properties: + type: + type: string + enum: ["function"] + description: The type of the tool. Currently, only `function` is supported. + function: + type: object + properties: + name: + type: string + description: The name of the function to call. + required: + - name + required: + - type + - function + + ParallelToolCalls: + description: Whether to enable [parallel function calling](/docs/guides/function-calling/parallel-function-calling) during tool use. + type: boolean + default: true + + ChatCompletionMessageToolCalls: + type: array + description: The tool calls generated by the model, such as function calls. + items: + $ref: "#/components/schemas/ChatCompletionMessageToolCall" + + ChatCompletionMessageToolCall: + type: object + properties: + # TODO: index included when streaming + id: + type: string + description: The ID of the tool call. + type: + type: string + enum: ["function"] + description: The type of the tool. Currently, only `function` is supported. + function: + type: object + description: The function that the model called. + properties: + name: + type: string + description: The name of the function to call. + arguments: + type: string + description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function. + required: + - name + - arguments + required: + - id + - type + - function + + ChatCompletionMessageToolCallChunk: + type: object + properties: + index: + type: integer + id: + type: string + description: The ID of the tool call. + type: + type: string + enum: ["function"] + description: The type of the tool. Currently, only `function` is supported. + function: + type: object + properties: + name: + type: string + description: The name of the function to call. + arguments: + type: string + description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function. + required: + - index + + # Note, this isn't referenced anywhere, but is kept as a convenience to record all possible roles in one place. + ChatCompletionRole: + type: string + description: The role of the author of a message + enum: + - system + - user + - assistant + - tool + - function + + ChatCompletionStreamOptions: + description: | + Options for streaming response. Only set this when you set `stream: true`. + type: object + nullable: true + default: null + properties: + include_usage: + type: boolean + description: | + If set, an additional chunk will be streamed before the `data: [DONE]` message. The `usage` field on this chunk shows the token usage statistics for the entire request, and the `choices` field will always be an empty array. All other chunks will also include a `usage` field, but with a null value. + + ChatCompletionResponseMessage: + type: object + description: A chat completion message generated by the model. + properties: + content: + type: string + description: The contents of the message. + nullable: true + refusal: + type: string + description: The refusal message generated by the model. + nullable: true + tool_calls: + $ref: "#/components/schemas/ChatCompletionMessageToolCalls" + role: + type: string + enum: ["assistant"] + description: The role of the author of this message. + function_call: + type: object + deprecated: true + description: "Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model." + properties: + arguments: + type: string + description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function. + name: + type: string + description: The name of the function to call. + required: + - name + - arguments + required: + - role + - content + - refusal + + ChatCompletionStreamResponseDelta: + type: object + description: A chat completion delta generated by streamed model responses. + properties: + content: + type: string + description: The contents of the chunk message. + nullable: true + function_call: + deprecated: true + type: object + description: "Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model." + properties: + arguments: + type: string + description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function. + name: + type: string + description: The name of the function to call. + tool_calls: + type: array + items: + $ref: "#/components/schemas/ChatCompletionMessageToolCallChunk" + role: + type: string + enum: ["system", "user", "assistant", "tool"] + description: The role of the author of this message. + refusal: + type: string + description: The refusal message generated by the model. + nullable: true + + CreateChatCompletionRequest: + type: object + properties: + messages: + description: A list of messages comprising the conversation so far. [Example Python code](https://cookbook.openai.com/examples/how_to_format_inputs_to_chatgpt_models). + type: array + minItems: 1 + items: + $ref: "#/components/schemas/ChatCompletionRequestMessage" + model: + description: ID of the model to use. See the [model endpoint compatibility](/docs/models/model-endpoint-compatibility) table for details on which models work with the Chat API. + example: "gpt-4o" + anyOf: + - type: string + - type: string + enum: + [ + "gpt-4o", + "gpt-4o-2024-05-13", + "gpt-4o-2024-08-06", + "chatgpt-4o-latest", + "gpt-4o-mini", + "gpt-4o-mini-2024-07-18", + "gpt-4-turbo", + "gpt-4-turbo-2024-04-09", + "gpt-4-0125-preview", + "gpt-4-turbo-preview", + "gpt-4-1106-preview", + "gpt-4-vision-preview", + "gpt-4", + "gpt-4-0314", + "gpt-4-0613", + "gpt-4-32k", + "gpt-4-32k-0314", + "gpt-4-32k-0613", + "gpt-3.5-turbo", + "gpt-3.5-turbo-16k", + "gpt-3.5-turbo-0301", + "gpt-3.5-turbo-0613", + "gpt-3.5-turbo-1106", + "gpt-3.5-turbo-0125", + "gpt-3.5-turbo-16k-0613", + ] + x-oaiTypeLabel: string + frequency_penalty: + type: number + default: 0 + minimum: -2 + maximum: 2 + nullable: true + description: *completions_frequency_penalty_description + logit_bias: + type: object + x-oaiTypeLabel: map + default: null + nullable: true + additionalProperties: + type: integer + description: | + Modify the likelihood of specified tokens appearing in the completion. + + Accepts a JSON object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. + logprobs: + description: Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the `content` of `message`. + type: boolean + default: false + nullable: true + top_logprobs: + description: An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. `logprobs` must be set to `true` if this parameter is used. + type: integer + minimum: 0 + maximum: 20 + nullable: true + max_tokens: + description: | + The maximum number of [tokens](/tokenizer) that can be generated in the chat completion. + + The total length of input tokens and generated tokens is limited by the model's context length. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens. + type: integer + nullable: true + n: + type: integer + minimum: 1 + maximum: 128 + default: 1 + example: 1 + nullable: true + description: How many chat completion choices to generate for each input message. Note that you will be charged based on the number of generated tokens across all of the choices. Keep `n` as `1` to minimize costs. + presence_penalty: + type: number + default: 0 + minimum: -2 + maximum: 2 + nullable: true + description: *completions_presence_penalty_description + response_format: + description: | + An object specifying the format that the model must output. Compatible with [GPT-4o](/docs/models/gpt-4o), [GPT-4o mini](/docs/models/gpt-4o-mini), [GPT-4 Turbo](/docs/models/gpt-4-and-gpt-4-turbo) and all GPT-3.5 Turbo models newer than `gpt-3.5-turbo-1106`. + + Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured Outputs which guarantees the model will match your supplied JSON schema. Learn more in the [Structured Outputs guide](/docs/guides/structured-outputs). + + Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is valid JSON. + + **Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length. + oneOf: + - $ref: "#/components/schemas/ResponseFormatText" + - $ref: "#/components/schemas/ResponseFormatJsonObject" + - $ref: "#/components/schemas/ResponseFormatJsonSchema" + x-oaiExpandable: true + seed: + type: integer + minimum: -9223372036854775808 + maximum: 9223372036854775807 + nullable: true + description: | + This feature is in Beta. + If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result. + Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend. + x-oaiMeta: + beta: true + service_tier: + description: | + Specifies the latency tier to use for processing the request. This parameter is relevant for customers subscribed to the scale tier service: + - If set to 'auto', the system will utilize scale tier credits until they are exhausted. + - If set to 'default', the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee. + - When not set, the default behavior is 'auto'. + + When this parameter is set, the response body will include the `service_tier` utilized. + type: string + enum: ["auto", "default"] + nullable: true + default: null + stop: + description: | + Up to 4 sequences where the API will stop generating further tokens. + default: null + oneOf: + - type: string + nullable: true + - type: array + minItems: 1 + maxItems: 4 + items: + type: string + stream: + description: > + If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) + as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions). + type: boolean + nullable: true + default: false + stream_options: + $ref: "#/components/schemas/ChatCompletionStreamOptions" + temperature: + type: number + minimum: 0 + maximum: 2 + default: 1 + example: 1 + nullable: true + description: *completions_temperature_description + top_p: + type: number + minimum: 0 + maximum: 1 + default: 1 + example: 1 + nullable: true + description: *completions_top_p_description + tools: + type: array + description: > + A list of tools the model may call. Currently, only functions are supported as a tool. + Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported. + items: + $ref: "#/components/schemas/ChatCompletionTool" + tool_choice: + $ref: "#/components/schemas/ChatCompletionToolChoiceOption" + parallel_tool_calls: + $ref: "#/components/schemas/ParallelToolCalls" + user: *end_user_param_configuration + function_call: + deprecated: true + description: | + Deprecated in favor of `tool_choice`. + + Controls which (if any) function is called by the model. + `none` means the model will not call a function and instead generates a message. + `auto` means the model can pick between generating a message or calling a function. + Specifying a particular function via `{"name": "my_function"}` forces the model to call that function. + + `none` is the default when no functions are present. `auto` is the default if functions are present. + oneOf: + - type: string + description: > + `none` means the model will not call a function and instead generates a message. + `auto` means the model can pick between generating a message or calling a function. + enum: [none, auto] + - $ref: "#/components/schemas/ChatCompletionFunctionCallOption" + x-oaiExpandable: true + functions: + deprecated: true + description: | + Deprecated in favor of `tools`. + + A list of functions the model may generate JSON inputs for. + type: array + minItems: 1 + maxItems: 128 + items: + $ref: "#/components/schemas/ChatCompletionFunctions" + + required: + - model + - messages + + CreateChatCompletionResponse: + type: object + description: Represents a chat completion response returned by model, based on the provided input. + properties: + id: + type: string + description: A unique identifier for the chat completion. + choices: + type: array + description: A list of chat completion choices. Can be more than one if `n` is greater than 1. + items: + type: object + required: + - finish_reason + - index + - message + - logprobs + properties: + finish_reason: + type: string + description: &chat_completion_finish_reason_description | + The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence, + `length` if the maximum number of tokens specified in the request was reached, + `content_filter` if content was omitted due to a flag from our content filters, + `tool_calls` if the model called a tool, or `function_call` (deprecated) if the model called a function. + enum: + [ + "stop", + "length", + "tool_calls", + "content_filter", + "function_call", + ] + index: + type: integer + description: The index of the choice in the list of choices. + message: + $ref: "#/components/schemas/ChatCompletionResponseMessage" + logprobs: &chat_completion_response_logprobs + description: Log probability information for the choice. + type: object + nullable: true + properties: + content: + description: A list of message content tokens with log probability information. + type: array + items: + $ref: "#/components/schemas/ChatCompletionTokenLogprob" + nullable: true + refusal: + description: A list of message refusal tokens with log probability information. + type: array + items: + $ref: "#/components/schemas/ChatCompletionTokenLogprob" + nullable: true + required: + - content + - refusal + + created: + type: integer + description: The Unix timestamp (in seconds) of when the chat completion was created. + model: + type: string + description: The model used for the chat completion. + service_tier: + description: The service tier used for processing the request. This field is only included if the `service_tier` parameter is specified in the request. + type: string + enum: ["scale", "default"] + example: "scale" + nullable: true + system_fingerprint: + type: string + description: | + This fingerprint represents the backend configuration that the model runs with. + + Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism. + object: + type: string + description: The object type, which is always `chat.completion`. + enum: [chat.completion] + usage: + $ref: "#/components/schemas/CompletionUsage" + required: + - choices + - created + - id + - model + - object + x-oaiMeta: + name: The chat completion object + group: chat + example: *chat_completion_example + + CreateChatCompletionFunctionResponse: + type: object + description: Represents a chat completion response returned by model, based on the provided input. + properties: + id: + type: string + description: A unique identifier for the chat completion. + choices: + type: array + description: A list of chat completion choices. Can be more than one if `n` is greater than 1. + items: + type: object + required: + - finish_reason + - index + - message + - logprobs + properties: + finish_reason: + type: string + description: + &chat_completion_function_finish_reason_description | + The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence, `length` if the maximum number of tokens specified in the request was reached, `content_filter` if content was omitted due to a flag from our content filters, or `function_call` if the model called a function. + enum: + ["stop", "length", "function_call", "content_filter"] + index: + type: integer + description: The index of the choice in the list of choices. + message: + $ref: "#/components/schemas/ChatCompletionResponseMessage" + created: + type: integer + description: The Unix timestamp (in seconds) of when the chat completion was created. + model: + type: string + description: The model used for the chat completion. + system_fingerprint: + type: string + description: | + This fingerprint represents the backend configuration that the model runs with. + + Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism. + object: + type: string + description: The object type, which is always `chat.completion`. + enum: [chat.completion] + usage: + $ref: "#/components/schemas/CompletionUsage" + required: + - choices + - created + - id + - model + - object + x-oaiMeta: + name: The chat completion object + group: chat + example: *chat_completion_function_example + + ChatCompletionTokenLogprob: + type: object + properties: + token: &chat_completion_response_logprobs_token + description: The token. + type: string + logprob: &chat_completion_response_logprobs_token_logprob + description: The log probability of this token, if it is within the top 20 most likely tokens. Otherwise, the value `-9999.0` is used to signify that the token is very unlikely. + type: number + bytes: &chat_completion_response_logprobs_bytes + description: A list of integers representing the UTF-8 bytes representation of the token. Useful in instances where characters are represented by multiple tokens and their byte representations must be combined to generate the correct text representation. Can be `null` if there is no bytes representation for the token. + type: array + items: + type: integer + nullable: true + top_logprobs: + description: List of the most likely tokens and their log probability, at this token position. In rare cases, there may be fewer than the number of requested `top_logprobs` returned. + type: array + items: + type: object + properties: + token: *chat_completion_response_logprobs_token + logprob: *chat_completion_response_logprobs_token_logprob + bytes: *chat_completion_response_logprobs_bytes + required: + - token + - logprob + - bytes + required: + - token + - logprob + - bytes + - top_logprobs + + ListPaginatedFineTuningJobsResponse: + type: object + properties: + data: + type: array + items: + $ref: "#/components/schemas/FineTuningJob" + has_more: + type: boolean + object: + type: string + enum: [list] + required: + - object + - data + - has_more + + CreateChatCompletionStreamResponse: + type: object + description: Represents a streamed chunk of a chat completion response returned by model, based on the provided input. + properties: + id: + type: string + description: A unique identifier for the chat completion. Each chunk has the same ID. + choices: + type: array + description: | + A list of chat completion choices. Can contain more than one elements if `n` is greater than 1. Can also be empty for the + last chunk if you set `stream_options: {"include_usage": true}`. + items: + type: object + required: + - delta + - finish_reason + - index + properties: + delta: + $ref: "#/components/schemas/ChatCompletionStreamResponseDelta" + logprobs: *chat_completion_response_logprobs + finish_reason: + type: string + description: *chat_completion_finish_reason_description + enum: + [ + "stop", + "length", + "tool_calls", + "content_filter", + "function_call", + ] + nullable: true + index: + type: integer + description: The index of the choice in the list of choices. + created: + type: integer + description: The Unix timestamp (in seconds) of when the chat completion was created. Each chunk has the same timestamp. + model: + type: string + description: The model to generate the completion. + service_tier: + description: The service tier used for processing the request. This field is only included if the `service_tier` parameter is specified in the request. + type: string + enum: ["scale", "default"] + example: "scale" + nullable: true + system_fingerprint: + type: string + description: | + This fingerprint represents the backend configuration that the model runs with. + Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism. + object: + type: string + description: The object type, which is always `chat.completion.chunk`. + enum: [chat.completion.chunk] + usage: + type: object + description: | + An optional field that will only be present when you set `stream_options: {"include_usage": true}` in your request. + When present, it contains a null value except for the last chunk which contains the token usage statistics for the entire request. + properties: + completion_tokens: + type: integer + description: Number of tokens in the generated completion. + prompt_tokens: + type: integer + description: Number of tokens in the prompt. + total_tokens: + type: integer + description: Total number of tokens used in the request (prompt + completion). + required: + - prompt_tokens + - completion_tokens + - total_tokens + required: + - choices + - created + - id + - model + - object + x-oaiMeta: + name: The chat completion chunk object + group: chat + example: *chat_completion_chunk_example + + CreateChatCompletionImageResponse: + type: object + description: Represents a streamed chunk of a chat completion response returned by model, based on the provided input. + x-oaiMeta: + name: The chat completion chunk object + group: chat + example: *chat_completion_image_example + + CreateImageRequest: + type: object + properties: + prompt: + description: A text description of the desired image(s). The maximum length is 1000 characters for `dall-e-2` and 4000 characters for `dall-e-3`. + type: string + example: "A cute baby sea otter" + model: + anyOf: + - type: string + - type: string + enum: ["dall-e-2", "dall-e-3"] + x-oaiTypeLabel: string + default: "dall-e-2" + example: "dall-e-3" + nullable: true + description: The model to use for image generation. + n: &images_n + type: integer + minimum: 1 + maximum: 10 + default: 1 + example: 1 + nullable: true + description: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only `n=1` is supported. + quality: + type: string + enum: ["standard", "hd"] + default: "standard" + example: "standard" + description: The quality of the image that will be generated. `hd` creates images with finer details and greater consistency across the image. This param is only supported for `dall-e-3`. + response_format: &images_response_format + type: string + enum: ["url", "b64_json"] + default: "url" + example: "url" + nullable: true + description: The format in which the generated images are returned. Must be one of `url` or `b64_json`. URLs are only valid for 60 minutes after the image has been generated. + size: &images_size + type: string + enum: ["256x256", "512x512", "1024x1024", "1792x1024", "1024x1792"] + default: "1024x1024" + example: "1024x1024" + nullable: true + description: The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3` models. + style: + type: string + enum: ["vivid", "natural"] + default: "vivid" + example: "vivid" + nullable: true + description: The style of the generated images. Must be one of `vivid` or `natural`. Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images. This param is only supported for `dall-e-3`. + user: *end_user_param_configuration + required: + - prompt + + ImagesResponse: + properties: + created: + type: integer + data: + type: array + items: + $ref: "#/components/schemas/Image" + required: + - created + - data + + Image: + type: object + description: Represents the url or the content of an image generated by the OpenAI API. + properties: + b64_json: + type: string + description: The base64-encoded JSON of the generated image, if `response_format` is `b64_json`. + url: + type: string + description: The URL of the generated image, if `response_format` is `url` (default). + revised_prompt: + type: string + description: The prompt that was used to generate the image, if there was any revision to the prompt. + x-oaiMeta: + name: The image object + example: | + { + "url": "...", + "revised_prompt": "..." + } + + CreateImageEditRequest: + type: object + properties: + image: + description: The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. + type: string + format: binary + prompt: + description: A text description of the desired image(s). The maximum length is 1000 characters. + type: string + example: "A cute baby sea otter wearing a beret" + mask: + description: An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. + type: string + format: binary + model: + anyOf: + - type: string + - type: string + enum: ["dall-e-2"] + x-oaiTypeLabel: string + default: "dall-e-2" + example: "dall-e-2" + nullable: true + description: The model to use for image generation. Only `dall-e-2` is supported at this time. + n: + type: integer + minimum: 1 + maximum: 10 + default: 1 + example: 1 + nullable: true + description: The number of images to generate. Must be between 1 and 10. + size: &dalle2_images_size + type: string + enum: ["256x256", "512x512", "1024x1024"] + default: "1024x1024" + example: "1024x1024" + nullable: true + description: The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. + response_format: *images_response_format + user: *end_user_param_configuration + required: + - prompt + - image + + CreateImageVariationRequest: + type: object + properties: + image: + description: The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. + type: string + format: binary + model: + anyOf: + - type: string + - type: string + enum: ["dall-e-2"] + x-oaiTypeLabel: string + default: "dall-e-2" + example: "dall-e-2" + nullable: true + description: The model to use for image generation. Only `dall-e-2` is supported at this time. + n: *images_n + response_format: *images_response_format + size: *dalle2_images_size + user: *end_user_param_configuration + required: + - image + + CreateModerationRequest: + type: object + properties: + input: + description: The input text to classify + oneOf: + - type: string + default: "" + example: "I want to kill them." + - type: array + items: + type: string + default: "" + example: "I want to kill them." + model: + description: | + Two content moderations models are available: `text-moderation-stable` and `text-moderation-latest`. + + The default is `text-moderation-latest` which will be automatically upgraded over time. This ensures you are always using our most accurate model. If you use `text-moderation-stable`, we will provide advanced notice before updating the model. Accuracy of `text-moderation-stable` may be slightly lower than for `text-moderation-latest`. + nullable: false + default: "text-moderation-latest" + example: "text-moderation-stable" + anyOf: + - type: string + - type: string + enum: ["text-moderation-latest", "text-moderation-stable"] + x-oaiTypeLabel: string + required: + - input + + CreateModerationResponse: + type: object + description: Represents if a given text input is potentially harmful. + properties: + id: + type: string + description: The unique identifier for the moderation request. + model: + type: string + description: The model used to generate the moderation results. + results: + type: array + description: A list of moderation objects. + items: + type: object + properties: + flagged: + type: boolean + description: Whether any of the below categories are flagged. + categories: + type: object + description: A list of the categories, and whether they are flagged or not. + properties: + hate: + type: boolean + description: Content that expresses, incites, or promotes hate based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste. Hateful content aimed at non-protected groups (e.g., chess players) is harassment. + hate/threatening: + type: boolean + description: Hateful content that also includes violence or serious harm towards the targeted group based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste. + harassment: + type: boolean + description: Content that expresses, incites, or promotes harassing language towards any target. + harassment/threatening: + type: boolean + description: Harassment content that also includes violence or serious harm towards any target. + self-harm: + type: boolean + description: Content that promotes, encourages, or depicts acts of self-harm, such as suicide, cutting, and eating disorders. + self-harm/intent: + type: boolean + description: Content where the speaker expresses that they are engaging or intend to engage in acts of self-harm, such as suicide, cutting, and eating disorders. + self-harm/instructions: + type: boolean + description: Content that encourages performing acts of self-harm, such as suicide, cutting, and eating disorders, or that gives instructions or advice on how to commit such acts. + sexual: + type: boolean + description: Content meant to arouse sexual excitement, such as the description of sexual activity, or that promotes sexual services (excluding sex education and wellness). + sexual/minors: + type: boolean + description: Sexual content that includes an individual who is under 18 years old. + violence: + type: boolean + description: Content that depicts death, violence, or physical injury. + violence/graphic: + type: boolean + description: Content that depicts death, violence, or physical injury in graphic detail. + required: + - hate + - hate/threatening + - harassment + - harassment/threatening + - self-harm + - self-harm/intent + - self-harm/instructions + - sexual + - sexual/minors + - violence + - violence/graphic + category_scores: + type: object + description: A list of the categories along with their scores as predicted by model. + properties: + hate: + type: number + description: The score for the category 'hate'. + hate/threatening: + type: number + description: The score for the category 'hate/threatening'. + harassment: + type: number + description: The score for the category 'harassment'. + harassment/threatening: + type: number + description: The score for the category 'harassment/threatening'. + self-harm: + type: number + description: The score for the category 'self-harm'. + self-harm/intent: + type: number + description: The score for the category 'self-harm/intent'. + self-harm/instructions: + type: number + description: The score for the category 'self-harm/instructions'. + sexual: + type: number + description: The score for the category 'sexual'. + sexual/minors: + type: number + description: The score for the category 'sexual/minors'. + violence: + type: number + description: The score for the category 'violence'. + violence/graphic: + type: number + description: The score for the category 'violence/graphic'. + required: + - hate + - hate/threatening + - harassment + - harassment/threatening + - self-harm + - self-harm/intent + - self-harm/instructions + - sexual + - sexual/minors + - violence + - violence/graphic + required: + - flagged + - categories + - category_scores + required: + - id + - model + - results + x-oaiMeta: + name: The moderation object + example: *moderation_example + + ListFilesResponse: + type: object + properties: + data: + type: array + items: + $ref: "#/components/schemas/OpenAIFile" + object: + type: string + enum: [list] + required: + - object + - data + + CreateFileRequest: + type: object + additionalProperties: false + properties: + file: + description: | + The File object (not file name) to be uploaded. + type: string + format: binary + purpose: + description: | + The intended purpose of the uploaded file. + + Use "assistants" for [Assistants](/docs/api-reference/assistants) and [Message](/docs/api-reference/messages) files, "vision" for Assistants image file inputs, "batch" for [Batch API](/docs/guides/batch), and "fine-tune" for [Fine-tuning](/docs/api-reference/fine-tuning). + type: string + enum: ["assistants", "batch", "fine-tune", "vision"] + required: + - file + - purpose + + DeleteFileResponse: + type: object + properties: + id: + type: string + object: + type: string + enum: [file] + deleted: + type: boolean + required: + - id + - object + - deleted + + CreateUploadRequest: + type: object + additionalProperties: false + properties: + filename: + description: | + The name of the file to upload. + type: string + purpose: + description: | + The intended purpose of the uploaded file. + + See the [documentation on File purposes](/docs/api-reference/files/create#files-create-purpose). + type: string + enum: ["assistants", "batch", "fine-tune", "vision"] + bytes: + description: | + The number of bytes in the file you are uploading. + type: integer + mime_type: + description: | + The MIME type of the file. + + This must fall within the supported MIME types for your file purpose. See the supported MIME types for assistants and vision. + type: string + required: + - filename + - purpose + - bytes + - mime_type + + AddUploadPartRequest: + type: object + additionalProperties: false + properties: + data: + description: | + The chunk of bytes for this Part. + type: string + format: binary + required: + - data + + CompleteUploadRequest: + type: object + additionalProperties: false + properties: + part_ids: + type: array + description: | + The ordered list of Part IDs. + items: + type: string + md5: + description: | + The optional md5 checksum for the file contents to verify if the bytes uploaded matches what you expect. + type: string + required: + - part_ids + + CancelUploadRequest: + type: object + additionalProperties: false + + CreateFineTuningJobRequest: + type: object + properties: + model: + description: | + The name of the model to fine-tune. You can select one of the + [supported models](/docs/guides/fine-tuning/which-models-can-be-fine-tuned). + example: "gpt-4o-mini" + anyOf: + - type: string + - type: string + enum: ["babbage-002", "davinci-002", "gpt-3.5-turbo", "gpt-4o-mini"] + x-oaiTypeLabel: string + training_file: + description: | + The ID of an uploaded file that contains training data. + + See [upload file](/docs/api-reference/files/create) for how to upload a file. + + Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose `fine-tune`. + + The contents of the file should differ depending on if the model uses the [chat](/docs/api-reference/fine-tuning/chat-input) or [completions](/docs/api-reference/fine-tuning/completions-input) format. + + See the [fine-tuning guide](/docs/guides/fine-tuning) for more details. + type: string + example: "file-abc123" + hyperparameters: + type: object + description: The hyperparameters used for the fine-tuning job. + properties: + batch_size: + description: | + Number of examples in each batch. A larger batch size means that model parameters + are updated less frequently, but with lower variance. + oneOf: + - type: string + enum: [auto] + - type: integer + minimum: 1 + maximum: 256 + default: auto + learning_rate_multiplier: + description: | + Scaling factor for the learning rate. A smaller learning rate may be useful to avoid + overfitting. + oneOf: + - type: string + enum: [auto] + - type: number + minimum: 0 + exclusiveMinimum: true + default: auto + n_epochs: + description: | + The number of epochs to train the model for. An epoch refers to one full cycle + through the training dataset. + oneOf: + - type: string + enum: [auto] + - type: integer + minimum: 1 + maximum: 50 + default: auto + suffix: + description: | + A string of up to 18 characters that will be added to your fine-tuned model name. + + For example, a `suffix` of "custom-model-name" would produce a model name like `ft:gpt-4o-mini:openai:custom-model-name:7p4lURel`. + type: string + minLength: 1 + maxLength: 40 + default: null + nullable: true + validation_file: + description: | + The ID of an uploaded file that contains validation data. + + If you provide this file, the data is used to generate validation + metrics periodically during fine-tuning. These metrics can be viewed in + the fine-tuning results file. + The same data should not be present in both train and validation files. + + Your dataset must be formatted as a JSONL file. You must upload your file with the purpose `fine-tune`. + + See the [fine-tuning guide](/docs/guides/fine-tuning) for more details. + type: string + nullable: true + example: "file-abc123" + integrations: + type: array + description: A list of integrations to enable for your fine-tuning job. + nullable: true + items: + type: object + required: + - type + - wandb + properties: + type: + description: | + The type of integration to enable. Currently, only "wandb" (Weights and Biases) is supported. + oneOf: + - type: string + enum: [wandb] + wandb: + type: object + description: | + The settings for your integration with Weights and Biases. This payload specifies the project that + metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags + to your run, and set a default entity (team, username, etc) to be associated with your run. + required: + - project + properties: + project: + description: | + The name of the project that the new run will be created under. + type: string + example: "my-wandb-project" + name: + description: | + A display name to set for the run. If not set, we will use the Job ID as the name. + nullable: true + type: string + entity: + description: | + The entity to use for the run. This allows you to set the team or username of the WandB user that you would + like associated with the run. If not set, the default entity for the registered WandB API key is used. + nullable: true + type: string + tags: + description: | + A list of tags to be attached to the newly created run. These tags are passed through directly to WandB. Some + default tags are generated by OpenAI: "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}". + type: array + items: + type: string + example: "custom-tag" + + seed: + description: | + The seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases. + If a seed is not specified, one will be generated for you. + type: integer + nullable: true + minimum: 0 + maximum: 2147483647 + example: 42 + required: + - model + - training_file + + ListFineTuningJobEventsResponse: + type: object + properties: + data: + type: array + items: + $ref: "#/components/schemas/FineTuningJobEvent" + object: + type: string + enum: [list] + required: + - object + - data + + ListFineTuningJobCheckpointsResponse: + type: object + properties: + data: + type: array + items: + $ref: "#/components/schemas/FineTuningJobCheckpoint" + object: + type: string + enum: [list] + first_id: + type: string + nullable: true + last_id: + type: string + nullable: true + has_more: + type: boolean + required: + - object + - data + - has_more + + CreateEmbeddingRequest: + type: object + additionalProperties: false + properties: + input: + description: | + Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048 dimensions or less. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens. + example: "The quick brown fox jumped over the lazy dog" + oneOf: + - type: string + title: string + description: The string that will be turned into an embedding. + default: "" + example: "This is a test." + - type: array + title: array + description: The array of strings that will be turned into an embedding. + minItems: 1 + maxItems: 2048 + items: + type: string + default: "" + example: "['This is a test.']" + - type: array + title: array + description: The array of integers that will be turned into an embedding. + minItems: 1 + maxItems: 2048 + items: + type: integer + example: "[1212, 318, 257, 1332, 13]" + - type: array + title: array + description: The array of arrays containing integers that will be turned into an embedding. + minItems: 1 + maxItems: 2048 + items: + type: array + minItems: 1 + items: + type: integer + example: "[[1212, 318, 257, 1332, 13]]" + x-oaiExpandable: true + model: + description: *model_description + example: "text-embedding-3-small" + anyOf: + - type: string + - type: string + enum: + [ + "text-embedding-ada-002", + "text-embedding-3-small", + "text-embedding-3-large", + ] + x-oaiTypeLabel: string + encoding_format: + description: "The format to return the embeddings in. Can be either `float` or [`base64`](https://pypi.org/project/pybase64/)." + example: "float" + default: "float" + type: string + enum: ["float", "base64"] + dimensions: + description: | + The number of dimensions the resulting output embeddings should have. Only supported in `text-embedding-3` and later models. + type: integer + minimum: 1 + user: *end_user_param_configuration + required: + - model + - input + + CreateEmbeddingResponse: + type: object + properties: + data: + type: array + description: The list of embeddings generated by the model. + items: + $ref: "#/components/schemas/Embedding" + model: + type: string + description: The name of the model used to generate the embedding. + object: + type: string + description: The object type, which is always "list". + enum: [list] + usage: + type: object + description: The usage information for the request. + properties: + prompt_tokens: + type: integer + description: The number of tokens used by the prompt. + total_tokens: + type: integer + description: The total number of tokens used by the request. + required: + - prompt_tokens + - total_tokens + required: + - object + - model + - data + - usage + + CreateTranscriptionRequest: + type: object + additionalProperties: false + properties: + file: + description: | + The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. + type: string + x-oaiTypeLabel: file + format: binary + model: + description: | + ID of the model to use. Only `whisper-1` (which is powered by our open source Whisper V2 model) is currently available. + example: whisper-1 + anyOf: + - type: string + - type: string + enum: ["whisper-1"] + x-oaiTypeLabel: string + language: + description: | + The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency. + type: string + prompt: + description: | + An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language. + type: string + response_format: + description: | + The format of the transcript output, in one of these options: `json`, `text`, `srt`, `verbose_json`, or `vtt`. + type: string + enum: + - json + - text + - srt + - verbose_json + - vtt + default: json + temperature: + description: | + The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. + type: number + default: 0 + timestamp_granularities[]: + description: | + The timestamp granularities to populate for this transcription. `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency. + type: array + items: + type: string + enum: + - word + - segment + default: [segment] + required: + - file + - model + + # Note: This does not currently support the non-default response format types. + CreateTranscriptionResponseJson: + type: object + description: Represents a transcription response returned by model, based on the provided input. + properties: + text: + type: string + description: The transcribed text. + required: + - text + x-oaiMeta: + name: The transcription object (JSON) + group: audio + example: *basic_transcription_response_example + + TranscriptionSegment: + type: object + properties: + id: + type: integer + description: Unique identifier of the segment. + seek: + type: integer + description: Seek offset of the segment. + start: + type: number + format: float + description: Start time of the segment in seconds. + end: + type: number + format: float + description: End time of the segment in seconds. + text: + type: string + description: Text content of the segment. + tokens: + type: array + items: + type: integer + description: Array of token IDs for the text content. + temperature: + type: number + format: float + description: Temperature parameter used for generating the segment. + avg_logprob: + type: number + format: float + description: Average logprob of the segment. If the value is lower than -1, consider the logprobs failed. + compression_ratio: + type: number + format: float + description: Compression ratio of the segment. If the value is greater than 2.4, consider the compression failed. + no_speech_prob: + type: number + format: float + description: Probability of no speech in the segment. If the value is higher than 1.0 and the `avg_logprob` is below -1, consider this segment silent. + required: + - id + - seek + - start + - end + - text + - tokens + - temperature + - avg_logprob + - compression_ratio + - no_speech_prob + + TranscriptionWord: + type: object + properties: + word: + type: string + description: The text content of the word. + start: + type: number + format: float + description: Start time of the word in seconds. + end: + type: number + format: float + description: End time of the word in seconds. + required: [word, start, end] + + CreateTranscriptionResponseVerboseJson: + type: object + description: Represents a verbose json transcription response returned by model, based on the provided input. + properties: + language: + type: string + description: The language of the input audio. + duration: + type: string + description: The duration of the input audio. + text: + type: string + description: The transcribed text. + words: + type: array + description: Extracted words and their corresponding timestamps. + items: + $ref: "#/components/schemas/TranscriptionWord" + segments: + type: array + description: Segments of the transcribed text and their corresponding details. + items: + $ref: "#/components/schemas/TranscriptionSegment" + required: [language, duration, text] + x-oaiMeta: + name: The transcription object (Verbose JSON) + group: audio + example: *verbose_transcription_response_example + + CreateTranslationRequest: + type: object + additionalProperties: false + properties: + file: + description: | + The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. + type: string + x-oaiTypeLabel: file + format: binary + model: + description: | + ID of the model to use. Only `whisper-1` (which is powered by our open source Whisper V2 model) is currently available. + example: whisper-1 + anyOf: + - type: string + - type: string + enum: ["whisper-1"] + x-oaiTypeLabel: string + prompt: + description: | + An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. + type: string + response_format: + description: | + The format of the transcript output, in one of these options: `json`, `text`, `srt`, `verbose_json`, or `vtt`. + type: string + default: json + temperature: + description: | + The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. + type: number + default: 0 + required: + - file + - model + + # Note: This does not currently support the non-default response format types. + CreateTranslationResponseJson: + type: object + properties: + text: + type: string + required: + - text + + CreateTranslationResponseVerboseJson: + type: object + properties: + language: + type: string + description: The language of the output translation (always `english`). + duration: + type: string + description: The duration of the input audio. + text: + type: string + description: The translated text. + segments: + type: array + description: Segments of the translated text and their corresponding details. + items: + $ref: "#/components/schemas/TranscriptionSegment" + required: [language, duration, text] + + CreateSpeechRequest: + type: object + additionalProperties: false + properties: + model: + description: | + One of the available [TTS models](/docs/models/tts): `tts-1` or `tts-1-hd` + anyOf: + - type: string + - type: string + enum: ["tts-1", "tts-1-hd"] + x-oaiTypeLabel: string + input: + type: string + description: The text to generate audio for. The maximum length is 4096 characters. + maxLength: 4096 + voice: + description: The voice to use when generating the audio. Supported voices are `alloy`, `echo`, `fable`, `onyx`, `nova`, and `shimmer`. Previews of the voices are available in the [Text to speech guide](/docs/guides/text-to-speech/voice-options). + type: string + enum: ["alloy", "echo", "fable", "onyx", "nova", "shimmer"] + response_format: + description: "The format to audio in. Supported formats are `mp3`, `opus`, `aac`, `flac`, `wav`, and `pcm`." + default: "mp3" + type: string + enum: ["mp3", "opus", "aac", "flac", "wav", "pcm"] + speed: + description: "The speed of the generated audio. Select a value from `0.25` to `4.0`. `1.0` is the default." + type: number + default: 1.0 + minimum: 0.25 + maximum: 4.0 + required: + - model + - input + - voice + + Model: + title: Model + description: Describes an OpenAI model offering that can be used with the API. + properties: + id: + type: string + description: The model identifier, which can be referenced in the API endpoints. + created: + type: integer + description: The Unix timestamp (in seconds) when the model was created. + object: + type: string + description: The object type, which is always "model". + enum: [model] + owned_by: + type: string + description: The organization that owns the model. + required: + - id + - object + - created + - owned_by + x-oaiMeta: + name: The model object + example: *retrieve_model_response + + OpenAIFile: + title: OpenAIFile + description: The `File` object represents a document that has been uploaded to OpenAI. + properties: + id: + type: string + description: The file identifier, which can be referenced in the API endpoints. + bytes: + type: integer + description: The size of the file, in bytes. + created_at: + type: integer + description: The Unix timestamp (in seconds) for when the file was created. + filename: + type: string + description: The name of the file. + object: + type: string + description: The object type, which is always `file`. + enum: ["file"] + purpose: + type: string + description: The intended purpose of the file. Supported values are `assistants`, `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results` and `vision`. + enum: + [ + "assistants", + "assistants_output", + "batch", + "batch_output", + "fine-tune", + "fine-tune-results", + "vision", + ] + status: + type: string + deprecated: true + description: Deprecated. The current status of the file, which can be either `uploaded`, `processed`, or `error`. + enum: ["uploaded", "processed", "error"] + status_details: + type: string + deprecated: true + description: Deprecated. For details on why a fine-tuning training file failed validation, see the `error` field on `fine_tuning.job`. + required: + - id + - object + - bytes + - created_at + - filename + - purpose + - status + x-oaiMeta: + name: The file object + example: | + { + "id": "file-abc123", + "object": "file", + "bytes": 120000, + "created_at": 1677610602, + "filename": "salesOverview.pdf", + "purpose": "assistants", + } + Upload: + type: object + title: Upload + description: | + The Upload object can accept byte chunks in the form of Parts. + properties: + id: + type: string + description: The Upload unique identifier, which can be referenced in API endpoints. + created_at: + type: integer + description: The Unix timestamp (in seconds) for when the Upload was created. + filename: + type: string + description: The name of the file to be uploaded. + bytes: + type: integer + description: The intended number of bytes to be uploaded. + purpose: + type: string + description: The intended purpose of the file. [Please refer here](/docs/api-reference/files/object#files/object-purpose) for acceptable values. + status: + type: string + description: The status of the Upload. + enum: ["pending", "completed", "cancelled", "expired"] + expires_at: + type: integer + description: The Unix timestamp (in seconds) for when the Upload was created. + object: + type: string + description: The object type, which is always "upload". + enum: [upload] + file: + $ref: "#/components/schemas/OpenAIFile" + nullable: true + description: The ready File object after the Upload is completed. + required: + - bytes + - created_at + - expires_at + - filename + - id + - purpose + - status + - step_number + x-oaiMeta: + name: The upload object + example: | + { + "id": "upload_abc123", + "object": "upload", + "bytes": 2147483648, + "created_at": 1719184911, + "filename": "training_examples.jsonl", + "purpose": "fine-tune", + "status": "completed", + "expires_at": 1719127296, + "file": { + "id": "file-xyz321", + "object": "file", + "bytes": 2147483648, + "created_at": 1719186911, + "filename": "training_examples.jsonl", + "purpose": "fine-tune", + } + } + UploadPart: + type: object + title: UploadPart + description: | + The upload Part represents a chunk of bytes we can add to an Upload object. + properties: + id: + type: string + description: The upload Part unique identifier, which can be referenced in API endpoints. + created_at: + type: integer + description: The Unix timestamp (in seconds) for when the Part was created. + upload_id: + type: string + description: The ID of the Upload object that this Part was added to. + object: + type: string + description: The object type, which is always `upload.part`. + enum: ['upload.part'] + required: + - created_at + - id + - object + - upload_id + x-oaiMeta: + name: The upload part object + example: | + { + "id": "part_def456", + "object": "upload.part", + "created_at": 1719186911, + "upload_id": "upload_abc123" + } + Embedding: + type: object + description: | + Represents an embedding vector returned by embedding endpoint. + properties: + index: + type: integer + description: The index of the embedding in the list of embeddings. + embedding: + type: array + description: | + The embedding vector, which is a list of floats. The length of vector depends on the model as listed in the [embedding guide](/docs/guides/embeddings). + items: + type: number + object: + type: string + description: The object type, which is always "embedding". + enum: [embedding] + required: + - index + - object + - embedding + x-oaiMeta: + name: The embedding object + example: | + { + "object": "embedding", + "embedding": [ + 0.0023064255, + -0.009327292, + .... (1536 floats total for ada-002) + -0.0028842222, + ], + "index": 0 + } + + FineTuningJob: + type: object + title: FineTuningJob + description: | + The `fine_tuning.job` object represents a fine-tuning job that has been created through the API. + properties: + id: + type: string + description: The object identifier, which can be referenced in the API endpoints. + created_at: + type: integer + description: The Unix timestamp (in seconds) for when the fine-tuning job was created. + error: + type: object + nullable: true + description: For fine-tuning jobs that have `failed`, this will contain more information on the cause of the failure. + properties: + code: + type: string + description: A machine-readable error code. + message: + type: string + description: A human-readable error message. + param: + type: string + description: The parameter that was invalid, usually `training_file` or `validation_file`. This field will be null if the failure was not parameter-specific. + nullable: true + required: + - code + - message + - param + fine_tuned_model: + type: string + nullable: true + description: The name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running. + finished_at: + type: integer + nullable: true + description: The Unix timestamp (in seconds) for when the fine-tuning job was finished. The value will be null if the fine-tuning job is still running. + hyperparameters: + type: object + description: The hyperparameters used for the fine-tuning job. See the [fine-tuning guide](/docs/guides/fine-tuning) for more details. + properties: + n_epochs: + oneOf: + - type: string + enum: [auto] + - type: integer + minimum: 1 + maximum: 50 + default: auto + description: + The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset. + + "auto" decides the optimal number of epochs based on the size of the dataset. If setting the number manually, we support any number between 1 and 50 epochs. + required: + - n_epochs + model: + type: string + description: The base model that is being fine-tuned. + object: + type: string + description: The object type, which is always "fine_tuning.job". + enum: [fine_tuning.job] + organization_id: + type: string + description: The organization that owns the fine-tuning job. + result_files: + type: array + description: The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the [Files API](/docs/api-reference/files/retrieve-contents). + items: + type: string + example: file-abc123 + status: + type: string + description: The current status of the fine-tuning job, which can be either `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`. + enum: + [ + "validating_files", + "queued", + "running", + "succeeded", + "failed", + "cancelled", + ] + trained_tokens: + type: integer + nullable: true + description: The total number of billable tokens processed by this fine-tuning job. The value will be null if the fine-tuning job is still running. + training_file: + type: string + description: The file ID used for training. You can retrieve the training data with the [Files API](/docs/api-reference/files/retrieve-contents). + validation_file: + type: string + nullable: true + description: The file ID used for validation. You can retrieve the validation results with the [Files API](/docs/api-reference/files/retrieve-contents). + integrations: + type: array + nullable: true + description: A list of integrations to enable for this fine-tuning job. + maxItems: 5 + items: + oneOf: + - $ref: "#/components/schemas/FineTuningIntegration" + x-oaiExpandable: true + seed: + type: integer + description: The seed used for the fine-tuning job. + estimated_finish: + type: integer + nullable: true + description: The Unix timestamp (in seconds) for when the fine-tuning job is estimated to finish. The value will be null if the fine-tuning job is not running. + required: + - created_at + - error + - finished_at + - fine_tuned_model + - hyperparameters + - id + - model + - object + - organization_id + - result_files + - status + - trained_tokens + - training_file + - validation_file + - seed + x-oaiMeta: + name: The fine-tuning job object + example: *fine_tuning_example + + FineTuningIntegration: + type: object + title: Fine-Tuning Job Integration + required: + - type + - wandb + properties: + type: + type: string + description: "The type of the integration being enabled for the fine-tuning job" + enum: ["wandb"] + wandb: + type: object + description: | + The settings for your integration with Weights and Biases. This payload specifies the project that + metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags + to your run, and set a default entity (team, username, etc) to be associated with your run. + required: + - project + properties: + project: + description: | + The name of the project that the new run will be created under. + type: string + example: "my-wandb-project" + name: + description: | + A display name to set for the run. If not set, we will use the Job ID as the name. + nullable: true + type: string + entity: + description: | + The entity to use for the run. This allows you to set the team or username of the WandB user that you would + like associated with the run. If not set, the default entity for the registered WandB API key is used. + nullable: true + type: string + tags: + description: | + A list of tags to be attached to the newly created run. These tags are passed through directly to WandB. Some + default tags are generated by OpenAI: "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}". + type: array + items: + type: string + example: "custom-tag" + + FineTuningJobEvent: + type: object + description: Fine-tuning job event object + properties: + id: + type: string + created_at: + type: integer + level: + type: string + enum: ["info", "warn", "error"] + message: + type: string + object: + type: string + enum: [fine_tuning.job.event] + required: + - id + - object + - created_at + - level + - message + x-oaiMeta: + name: The fine-tuning job event object + example: | + { + "object": "fine_tuning.job.event", + "id": "ftevent-abc123" + "created_at": 1677610602, + "level": "info", + "message": "Created fine-tuning job" + } + + FineTuningJobCheckpoint: + type: object + title: FineTuningJobCheckpoint + description: | + The `fine_tuning.job.checkpoint` object represents a model checkpoint for a fine-tuning job that is ready to use. + properties: + id: + type: string + description: The checkpoint identifier, which can be referenced in the API endpoints. + created_at: + type: integer + description: The Unix timestamp (in seconds) for when the checkpoint was created. + fine_tuned_model_checkpoint: + type: string + description: The name of the fine-tuned checkpoint model that is created. + step_number: + type: integer + description: The step number that the checkpoint was created at. + metrics: + type: object + description: Metrics at the step number during the fine-tuning job. + properties: + step: + type: number + train_loss: + type: number + train_mean_token_accuracy: + type: number + valid_loss: + type: number + valid_mean_token_accuracy: + type: number + full_valid_loss: + type: number + full_valid_mean_token_accuracy: + type: number + fine_tuning_job_id: + type: string + description: The name of the fine-tuning job that this checkpoint was created from. + object: + type: string + description: The object type, which is always "fine_tuning.job.checkpoint". + enum: [fine_tuning.job.checkpoint] + required: + - created_at + - fine_tuning_job_id + - fine_tuned_model_checkpoint + - id + - metrics + - object + - step_number + x-oaiMeta: + name: The fine-tuning job checkpoint object + example: | + { + "object": "fine_tuning.job.checkpoint", + "id": "ftckpt_qtZ5Gyk4BLq1SfLFWp3RtO3P", + "created_at": 1712211699, + "fine_tuned_model_checkpoint": "ft:gpt-4o-mini-2024-07-18:my-org:custom_suffix:9ABel2dg:ckpt-step-88", + "fine_tuning_job_id": "ftjob-fpbNQ3H1GrMehXRf8cO97xTN", + "metrics": { + "step": 88, + "train_loss": 0.478, + "train_mean_token_accuracy": 0.924, + "valid_loss": 10.112, + "valid_mean_token_accuracy": 0.145, + "full_valid_loss": 0.567, + "full_valid_mean_token_accuracy": 0.944 + }, + "step_number": 88 + } + + FinetuneChatRequestInput: + type: object + description: The per-line training example of a fine-tuning input file for chat models + properties: + messages: + type: array + minItems: 1 + items: + oneOf: + - $ref: "#/components/schemas/ChatCompletionRequestSystemMessage" + - $ref: "#/components/schemas/ChatCompletionRequestUserMessage" + - $ref: "#/components/schemas/FineTuneChatCompletionRequestAssistantMessage" + - $ref: "#/components/schemas/ChatCompletionRequestToolMessage" + - $ref: "#/components/schemas/ChatCompletionRequestFunctionMessage" + x-oaiExpandable: true + tools: + type: array + description: A list of tools the model may generate JSON inputs for. + items: + $ref: "#/components/schemas/ChatCompletionTool" + parallel_tool_calls: + $ref: "#/components/schemas/ParallelToolCalls" + functions: + deprecated: true + description: + A list of functions the model may generate JSON inputs for. + type: array + minItems: 1 + maxItems: 128 + items: + $ref: "#/components/schemas/ChatCompletionFunctions" + x-oaiMeta: + name: Training format for chat models + example: | + { + "messages": [ + { "role": "user", "content": "What is the weather in San Francisco?" }, + { + "role": "assistant", + "tool_calls": [ + { + "id": "call_id", + "type": "function", + "function": { + "name": "get_current_weather", + "arguments": "{\"location\": \"San Francisco, USA\", \"format\": \"celsius\"}" + } + } + ] + } + ], + "parallel_tool_calls": false, + "tools": [ + { + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and country, eg. San Francisco, USA" + }, + "format": { "type": "string", "enum": ["celsius", "fahrenheit"] } + }, + "required": ["location", "format"] + } + } + } + ] + } + + FinetuneCompletionRequestInput: + type: object + description: The per-line training example of a fine-tuning input file for completions models + properties: + prompt: + type: string + description: The input prompt for this training example. + completion: + type: string + description: The desired completion for this training example. + x-oaiMeta: + name: Training format for completions models + example: | + { + "prompt": "What is the answer to 2+2", + "completion": "4" + } + + CompletionUsage: + type: object + description: Usage statistics for the completion request. + properties: + completion_tokens: + type: integer + description: Number of tokens in the generated completion. + prompt_tokens: + type: integer + description: Number of tokens in the prompt. + total_tokens: + type: integer + description: Total number of tokens used in the request (prompt + completion). + required: + - prompt_tokens + - completion_tokens + - total_tokens + + RunCompletionUsage: + type: object + description: Usage statistics related to the run. This value will be `null` if the run is not in a terminal state (i.e. `in_progress`, `queued`, etc.). + properties: + completion_tokens: + type: integer + description: Number of completion tokens used over the course of the run. + prompt_tokens: + type: integer + description: Number of prompt tokens used over the course of the run. + total_tokens: + type: integer + description: Total number of tokens used (prompt + completion). + required: + - prompt_tokens + - completion_tokens + - total_tokens + nullable: true + + RunStepCompletionUsage: + type: object + description: Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`. + properties: + completion_tokens: + type: integer + description: Number of completion tokens used over the course of the run step. + prompt_tokens: + type: integer + description: Number of prompt tokens used over the course of the run step. + total_tokens: + type: integer + description: Total number of tokens used (prompt + completion). + required: + - prompt_tokens + - completion_tokens + - total_tokens + nullable: true + + AssistantsApiResponseFormatOption: + description: | + Specifies the format that the model must output. Compatible with [GPT-4o](/docs/models/gpt-4o), [GPT-4 Turbo](/docs/models/gpt-4-turbo-and-gpt-4), and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. + + Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured Outputs which guarantees the model will match your supplied JSON schema. Learn more in the [Structured Outputs guide](/docs/guides/structured-outputs). + + Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is valid JSON. + + **Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length. + oneOf: + - type: string + description: > + `auto` is the default value + enum: [auto] + - $ref: '#/components/schemas/ResponseFormatText' + - $ref: '#/components/schemas/ResponseFormatJsonObject' + - $ref: '#/components/schemas/ResponseFormatJsonSchema' + x-oaiExpandable: true + + AssistantObject: + type: object + title: Assistant + description: Represents an `assistant` that can call the model and use tools. + properties: + id: + description: The identifier, which can be referenced in API endpoints. + type: string + object: + description: The object type, which is always `assistant`. + type: string + enum: [assistant] + created_at: + description: The Unix timestamp (in seconds) for when the assistant was created. + type: integer + name: + description: &assistant_name_param_description | + The name of the assistant. The maximum length is 256 characters. + type: string + maxLength: 256 + nullable: true + description: + description: &assistant_description_param_description | + The description of the assistant. The maximum length is 512 characters. + type: string + maxLength: 512 + nullable: true + model: + description: *model_description + type: string + instructions: + description: &assistant_instructions_param_description | + The system instructions that the assistant uses. The maximum length is 256,000 characters. + type: string + maxLength: 256000 + nullable: true + tools: + description: &assistant_tools_param_description | + A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`. + default: [] + type: array + maxItems: 128 + items: + oneOf: + - $ref: "#/components/schemas/AssistantToolsCode" + - $ref: "#/components/schemas/AssistantToolsFileSearch" + - $ref: "#/components/schemas/AssistantToolsFunction" + x-oaiExpandable: true + tool_resources: + type: object + description: | + A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. + properties: + code_interpreter: + type: object + properties: + file_ids: + type: array + description: | + A list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter`` tool. There can be a maximum of 20 files associated with the tool. + default: [] + maxItems: 20 + items: + type: string + file_search: + type: object + properties: + vector_store_ids: + type: array + description: | + The ID of the [vector store](/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. + maxItems: 1 + items: + type: string + nullable: true + metadata: + description: &metadata_description | + Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long. + type: object + x-oaiTypeLabel: map + nullable: true + temperature: + description: &run_temperature_description | + What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. + type: number + minimum: 0 + maximum: 2 + default: 1 + example: 1 + nullable: true + top_p: + type: number + minimum: 0 + maximum: 1 + default: 1 + example: 1 + nullable: true + description: &run_top_p_description | + An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. + + We generally recommend altering this or temperature but not both. + response_format: + $ref: "#/components/schemas/AssistantsApiResponseFormatOption" + nullable: true + required: + - id + - object + - created_at + - name + - description + - model + - instructions + - tools + - metadata + x-oaiMeta: + name: The assistant object + beta: true + example: *create_assistants_example + + CreateAssistantRequest: + type: object + additionalProperties: false + properties: + model: + description: *model_description + example: "gpt-4o" + anyOf: + - type: string + - type: string + enum: + [ + "gpt-4o", + "gpt-4o-2024-08-06", + "gpt-4o-2024-05-13", + "gpt-4o-mini", + "gpt-4o-mini-2024-07-18", + "gpt-4-turbo", + "gpt-4-turbo-2024-04-09", + "gpt-4-0125-preview", + "gpt-4-turbo-preview", + "gpt-4-1106-preview", + "gpt-4-vision-preview", + "gpt-4", + "gpt-4-0314", + "gpt-4-0613", + "gpt-4-32k", + "gpt-4-32k-0314", + "gpt-4-32k-0613", + "gpt-3.5-turbo", + "gpt-3.5-turbo-16k", + "gpt-3.5-turbo-0613", + "gpt-3.5-turbo-1106", + "gpt-3.5-turbo-0125", + "gpt-3.5-turbo-16k-0613", + ] + x-oaiTypeLabel: string + name: + description: *assistant_name_param_description + type: string + nullable: true + maxLength: 256 + description: + description: *assistant_description_param_description + type: string + nullable: true + maxLength: 512 + instructions: + description: *assistant_instructions_param_description + type: string + nullable: true + maxLength: 256000 + tools: + description: *assistant_tools_param_description + default: [] + type: array + maxItems: 128 + items: + oneOf: + - $ref: "#/components/schemas/AssistantToolsCode" + - $ref: "#/components/schemas/AssistantToolsFileSearch" + - $ref: "#/components/schemas/AssistantToolsFunction" + x-oaiExpandable: true + tool_resources: + type: object + description: | + A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. + properties: + code_interpreter: + type: object + properties: + file_ids: + type: array + description: | + A list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. + default: [] + maxItems: 20 + items: + type: string + file_search: + type: object + properties: + vector_store_ids: + type: array + description: | + The [vector store](/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. + maxItems: 1 + items: + type: string + vector_stores: + type: array + description: | + A helper to create a [vector store](/docs/api-reference/vector-stores/object) with file_ids and attach it to this assistant. There can be a maximum of 1 vector store attached to the assistant. + maxItems: 1 + items: + type: object + properties: + file_ids: + type: array + description: | + A list of [file](/docs/api-reference/files) IDs to add to the vector store. There can be a maximum of 10000 files in a vector store. + maxItems: 10000 + items: + type: string + chunking_strategy: + # Ideally we'd reuse the chunking strategy schema here, but it doesn't expand properly + type: object + description: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy. + oneOf: + - type: object + title: Auto Chunking Strategy + description: The default strategy. This strategy currently uses a `max_chunk_size_tokens` of `800` and `chunk_overlap_tokens` of `400`. + additionalProperties: false + properties: + type: + type: string + description: Always `auto`. + enum: ["auto"] + required: + - type + - type: object + title: Static Chunking Strategy + additionalProperties: false + properties: + type: + type: string + description: Always `static`. + enum: ["static"] + static: + type: object + additionalProperties: false + properties: + max_chunk_size_tokens: + type: integer + minimum: 100 + maximum: 4096 + description: The maximum number of tokens in each chunk. The default value is `800`. The minimum value is `100` and the maximum value is `4096`. + chunk_overlap_tokens: + type: integer + description: | + The number of tokens that overlap between chunks. The default value is `400`. + + Note that the overlap must not exceed half of `max_chunk_size_tokens`. + required: + - max_chunk_size_tokens + - chunk_overlap_tokens + required: + - type + - static + x-oaiExpandable: true + metadata: + type: object + description: | + Set of 16 key-value pairs that can be attached to a vector store. This can be useful for storing additional information about the vector store in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long. + x-oaiTypeLabel: map + oneOf: + - required: [vector_store_ids] + - required: [vector_stores] + nullable: true + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true + temperature: + description: *run_temperature_description + type: number + minimum: 0 + maximum: 2 + default: 1 + example: 1 + nullable: true + top_p: + type: number + minimum: 0 + maximum: 1 + default: 1 + example: 1 + nullable: true + description: *run_top_p_description + response_format: + $ref: "#/components/schemas/AssistantsApiResponseFormatOption" + nullable: true + required: + - model + + ModifyAssistantRequest: + type: object + additionalProperties: false + properties: + model: + description: *model_description + anyOf: + - type: string + name: + description: *assistant_name_param_description + type: string + nullable: true + maxLength: 256 + description: + description: *assistant_description_param_description + type: string + nullable: true + maxLength: 512 + instructions: + description: *assistant_instructions_param_description + type: string + nullable: true + maxLength: 256000 + tools: + description: *assistant_tools_param_description + default: [] + type: array + maxItems: 128 + items: + oneOf: + - $ref: "#/components/schemas/AssistantToolsCode" + - $ref: "#/components/schemas/AssistantToolsFileSearch" + - $ref: "#/components/schemas/AssistantToolsFunction" + x-oaiExpandable: true + tool_resources: + type: object + description: | + A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. + properties: + code_interpreter: + type: object + properties: + file_ids: + type: array + description: | + Overrides the list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. + default: [] + maxItems: 20 + items: + type: string + file_search: + type: object + properties: + vector_store_ids: + type: array + description: | + Overrides the [vector store](/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. + maxItems: 1 + items: + type: string + nullable: true + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true + temperature: + description: *run_temperature_description + type: number + minimum: 0 + maximum: 2 + default: 1 + example: 1 + nullable: true + top_p: + type: number + minimum: 0 + maximum: 1 + default: 1 + example: 1 + nullable: true + description: *run_top_p_description + response_format: + $ref: "#/components/schemas/AssistantsApiResponseFormatOption" + nullable: true + + DeleteAssistantResponse: + type: object + properties: + id: + type: string + deleted: + type: boolean + object: + type: string + enum: [assistant.deleted] + required: + - id + - object + - deleted + + ListAssistantsResponse: + type: object + properties: + object: + type: string + example: "list" + data: + type: array + items: + $ref: "#/components/schemas/AssistantObject" + first_id: + type: string + example: "asst_abc123" + last_id: + type: string + example: "asst_abc456" + has_more: + type: boolean + example: false + required: + - object + - data + - first_id + - last_id + - has_more + x-oaiMeta: + name: List assistants response object + group: chat + example: *list_assistants_example + + AssistantToolsCode: + type: object + title: Code interpreter tool + properties: + type: + type: string + description: "The type of tool being defined: `code_interpreter`" + enum: ["code_interpreter"] + required: + - type + + AssistantToolsFileSearch: + type: object + title: FileSearch tool + properties: + type: + type: string + description: "The type of tool being defined: `file_search`" + enum: ["file_search"] + file_search: + type: object + description: Overrides for the file search tool. + properties: + max_num_results: + type: integer + minimum: 1 + maximum: 50 + description: | + The maximum number of results the file search tool should output. The default is 20 for `gpt-4*` models and 5 for `gpt-3.5-turbo`. This number should be between 1 and 50 inclusive. + + Note that the file search tool may output fewer than `max_num_results` results. See the [file search tool documentation](/docs/assistants/tools/file-search/number-of-chunks-returned) for more information. + required: + - type + + AssistantToolsFileSearchTypeOnly: + type: object + title: FileSearch tool + properties: + type: + type: string + description: "The type of tool being defined: `file_search`" + enum: ["file_search"] + required: + - type + + AssistantToolsFunction: + type: object + title: Function tool + properties: + type: + type: string + description: "The type of tool being defined: `function`" + enum: ["function"] + function: + $ref: "#/components/schemas/FunctionObject" + required: + - type + - function + + TruncationObject: + type: object + title: Thread Truncation Controls + description: Controls for how a thread will be truncated prior to the run. Use this to control the intial context window of the run. + properties: + type: + type: string + description: The truncation strategy to use for the thread. The default is `auto`. If set to `last_messages`, the thread will be truncated to the n most recent messages in the thread. When set to `auto`, messages in the middle of the thread will be dropped to fit the context length of the model, `max_prompt_tokens`. + enum: ["auto", "last_messages"] + last_messages: + type: integer + description: The number of most recent messages from the thread when constructing the context for the run. + minimum: 1 + nullable: true + required: + - type + + AssistantsApiToolChoiceOption: + description: | + Controls which (if any) tool is called by the model. + `none` means the model will not call any tools and instead generates a message. + `auto` is the default value and means the model can pick between generating a message or calling one or more tools. + `required` means the model must call one or more tools before responding to the user. + Specifying a particular tool like `{"type": "file_search"}` or `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that tool. + + oneOf: + - type: string + description: > + `none` means the model will not call any tools and instead generates a message. + `auto` means the model can pick between generating a message or calling one or more tools. + `required` means the model must call one or more tools before responding to the user. + enum: [none, auto, required] + - $ref: "#/components/schemas/AssistantsNamedToolChoice" + x-oaiExpandable: true + + AssistantsNamedToolChoice: + type: object + description: Specifies a tool the model should use. Use to force the model to call a specific tool. + properties: + type: + type: string + enum: ["function", "code_interpreter", "file_search"] + description: The type of the tool. If type is `function`, the function name must be set + function: + type: object + properties: + name: + type: string + description: The name of the function to call. + required: + - name + required: + - type + + RunObject: + type: object + title: A run on a thread + description: Represents an execution run on a [thread](/docs/api-reference/threads). + properties: + id: + description: The identifier, which can be referenced in API endpoints. + type: string + object: + description: The object type, which is always `thread.run`. + type: string + enum: ["thread.run"] + created_at: + description: The Unix timestamp (in seconds) for when the run was created. + type: integer + thread_id: + description: The ID of the [thread](/docs/api-reference/threads) that was executed on as a part of this run. + type: string + assistant_id: + description: The ID of the [assistant](/docs/api-reference/assistants) used for execution of this run. + type: string + status: + description: The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. + type: string + enum: + [ + "queued", + "in_progress", + "requires_action", + "cancelling", + "cancelled", + "failed", + "completed", + "incomplete", + "expired", + ] + required_action: + type: object + description: Details on the action required to continue the run. Will be `null` if no action is required. + nullable: true + properties: + type: + description: For now, this is always `submit_tool_outputs`. + type: string + enum: ["submit_tool_outputs"] + submit_tool_outputs: + type: object + description: Details on the tool outputs needed for this run to continue. + properties: + tool_calls: + type: array + description: A list of the relevant tool calls. + items: + $ref: "#/components/schemas/RunToolCallObject" + required: + - tool_calls + required: + - type + - submit_tool_outputs + last_error: + type: object + description: The last error associated with this run. Will be `null` if there are no errors. + nullable: true + properties: + code: + type: string + description: One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`. + enum: + ["server_error", "rate_limit_exceeded", "invalid_prompt"] + message: + type: string + description: A human-readable description of the error. + required: + - code + - message + expires_at: + description: The Unix timestamp (in seconds) for when the run will expire. + type: integer + nullable: true + started_at: + description: The Unix timestamp (in seconds) for when the run was started. + type: integer + nullable: true + cancelled_at: + description: The Unix timestamp (in seconds) for when the run was cancelled. + type: integer + nullable: true + failed_at: + description: The Unix timestamp (in seconds) for when the run failed. + type: integer + nullable: true + completed_at: + description: The Unix timestamp (in seconds) for when the run was completed. + type: integer + nullable: true + incomplete_details: + description: Details on why the run is incomplete. Will be `null` if the run is not incomplete. + type: object + nullable: true + properties: + reason: + description: The reason why the run is incomplete. This will point to which specific token limit was reached over the course of the run. + type: string + enum: ["max_completion_tokens", "max_prompt_tokens"] + model: + description: The model that the [assistant](/docs/api-reference/assistants) used for this run. + type: string + instructions: + description: The instructions that the [assistant](/docs/api-reference/assistants) used for this run. + type: string + tools: + description: The list of tools that the [assistant](/docs/api-reference/assistants) used for this run. + default: [] + type: array + maxItems: 20 + items: + oneOf: + - $ref: "#/components/schemas/AssistantToolsCode" + - $ref: "#/components/schemas/AssistantToolsFileSearch" + - $ref: "#/components/schemas/AssistantToolsFunction" + x-oaiExpandable: true + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true + usage: + $ref: "#/components/schemas/RunCompletionUsage" + temperature: + description: The sampling temperature used for this run. If not set, defaults to 1. + type: number + nullable: true + top_p: + description: The nucleus sampling value used for this run. If not set, defaults to 1. + type: number + nullable: true + max_prompt_tokens: + type: integer + nullable: true + description: | + The maximum number of prompt tokens specified to have been used over the course of the run. + minimum: 256 + max_completion_tokens: + type: integer + nullable: true + description: | + The maximum number of completion tokens specified to have been used over the course of the run. + minimum: 256 + truncation_strategy: + $ref: "#/components/schemas/TruncationObject" + nullable: true + tool_choice: + $ref: "#/components/schemas/AssistantsApiToolChoiceOption" + nullable: true + parallel_tool_calls: + $ref: "#/components/schemas/ParallelToolCalls" + response_format: + $ref: "#/components/schemas/AssistantsApiResponseFormatOption" + nullable: true + required: + - id + - object + - created_at + - thread_id + - assistant_id + - status + - required_action + - last_error + - expires_at + - started_at + - cancelled_at + - failed_at + - completed_at + - model + - instructions + - tools + - metadata + - usage + - incomplete_details + - max_prompt_tokens + - max_completion_tokens + - truncation_strategy + - tool_choice + - parallel_tool_calls + - response_format + x-oaiMeta: + name: The run object + beta: true + example: | + { + "id": "run_abc123", + "object": "thread.run", + "created_at": 1698107661, + "assistant_id": "asst_abc123", + "thread_id": "thread_abc123", + "status": "completed", + "started_at": 1699073476, + "expires_at": null, + "cancelled_at": null, + "failed_at": null, + "completed_at": 1699073498, + "last_error": null, + "model": "gpt-4o", + "instructions": null, + "tools": [{"type": "file_search"}, {"type": "code_interpreter"}], + "metadata": {}, + "incomplete_details": null, + "usage": { + "prompt_tokens": 123, + "completion_tokens": 456, + "total_tokens": 579 + }, + "temperature": 1.0, + "top_p": 1.0, + "max_prompt_tokens": 1000, + "max_completion_tokens": 1000, + "truncation_strategy": { + "type": "auto", + "last_messages": null + }, + "response_format": "auto", + "tool_choice": "auto", + "parallel_tool_calls": true + } + CreateRunRequest: + type: object + additionalProperties: false + properties: + assistant_id: + description: The ID of the [assistant](/docs/api-reference/assistants) to use to execute this run. + type: string + model: + description: The ID of the [Model](/docs/api-reference/models) to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used. + example: "gpt-4o" + anyOf: + - type: string + - type: string + enum: + [ + "gpt-4o", + "gpt-4o-2024-08-06", + "gpt-4o-2024-05-13", + "gpt-4o-mini", + "gpt-4o-mini-2024-07-18", + "gpt-4-turbo", + "gpt-4-turbo-2024-04-09", + "gpt-4-0125-preview", + "gpt-4-turbo-preview", + "gpt-4-1106-preview", + "gpt-4-vision-preview", + "gpt-4", + "gpt-4-0314", + "gpt-4-0613", + "gpt-4-32k", + "gpt-4-32k-0314", + "gpt-4-32k-0613", + "gpt-3.5-turbo", + "gpt-3.5-turbo-16k", + "gpt-3.5-turbo-0613", + "gpt-3.5-turbo-1106", + "gpt-3.5-turbo-0125", + "gpt-3.5-turbo-16k-0613", + ] + x-oaiTypeLabel: string + nullable: true + instructions: + description: Overrides the [instructions](/docs/api-reference/assistants/createAssistant) of the assistant. This is useful for modifying the behavior on a per-run basis. + type: string + nullable: true + additional_instructions: + description: Appends additional instructions at the end of the instructions for the run. This is useful for modifying the behavior on a per-run basis without overriding other instructions. + type: string + nullable: true + additional_messages: + description: Adds additional messages to the thread before creating the run. + type: array + items: + $ref: "#/components/schemas/CreateMessageRequest" + nullable: true + tools: + description: Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis. + nullable: true + type: array + maxItems: 20 + items: + oneOf: + - $ref: "#/components/schemas/AssistantToolsCode" + - $ref: "#/components/schemas/AssistantToolsFileSearch" + - $ref: "#/components/schemas/AssistantToolsFunction" + x-oaiExpandable: true + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true + temperature: + type: number + minimum: 0 + maximum: 2 + default: 1 + example: 1 + nullable: true + description: *run_temperature_description + top_p: + type: number + minimum: 0 + maximum: 1 + default: 1 + example: 1 + nullable: true + description: *run_top_p_description + stream: + type: boolean + nullable: true + description: | + If `true`, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a `data: [DONE]` message. + max_prompt_tokens: + type: integer + nullable: true + description: | + The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info. + minimum: 256 + max_completion_tokens: + type: integer + nullable: true + description: | + The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info. + minimum: 256 + truncation_strategy: + $ref: "#/components/schemas/TruncationObject" + nullable: true + tool_choice: + $ref: "#/components/schemas/AssistantsApiToolChoiceOption" + nullable: true + parallel_tool_calls: + $ref: "#/components/schemas/ParallelToolCalls" + response_format: + $ref: "#/components/schemas/AssistantsApiResponseFormatOption" + nullable: true + required: + - thread_id + - assistant_id + ListRunsResponse: + type: object + properties: + object: + type: string + example: "list" + data: + type: array + items: + $ref: "#/components/schemas/RunObject" + first_id: + type: string + example: "run_abc123" + last_id: + type: string + example: "run_abc456" + has_more: + type: boolean + example: false + required: + - object + - data + - first_id + - last_id + - has_more + ModifyRunRequest: + type: object + additionalProperties: false + properties: + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true + SubmitToolOutputsRunRequest: + type: object + additionalProperties: false + properties: + tool_outputs: + description: A list of tools for which the outputs are being submitted. + type: array + items: + type: object + properties: + tool_call_id: + type: string + description: The ID of the tool call in the `required_action` object within the run object the output is being submitted for. + output: + type: string + description: The output of the tool call to be submitted to continue the run. + stream: + type: boolean + nullable: true + description: | + If `true`, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a `data: [DONE]` message. + required: + - tool_outputs + + RunToolCallObject: + type: object + description: Tool call objects + properties: + id: + type: string + description: The ID of the tool call. This ID must be referenced when you submit the tool outputs in using the [Submit tool outputs to run](/docs/api-reference/runs/submitToolOutputs) endpoint. + type: + type: string + description: The type of tool call the output is required for. For now, this is always `function`. + enum: ["function"] + function: + type: object + description: The function definition. + properties: + name: + type: string + description: The name of the function. + arguments: + type: string + description: The arguments that the model expects you to pass to the function. + required: + - name + - arguments + required: + - id + - type + - function + + CreateThreadAndRunRequest: + type: object + additionalProperties: false + properties: + assistant_id: + description: The ID of the [assistant](/docs/api-reference/assistants) to use to execute this run. + type: string + thread: + $ref: "#/components/schemas/CreateThreadRequest" + description: If no thread is provided, an empty thread will be created. + model: + description: The ID of the [Model](/docs/api-reference/models) to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used. + example: "gpt-4o" + anyOf: + - type: string + - type: string + enum: + [ + "gpt-4o", + "gpt-4o-2024-08-06", + "gpt-4o-2024-05-13", + "gpt-4o-mini", + "gpt-4o-mini-2024-07-18", + "gpt-4-turbo", + "gpt-4-turbo-2024-04-09", + "gpt-4-0125-preview", + "gpt-4-turbo-preview", + "gpt-4-1106-preview", + "gpt-4-vision-preview", + "gpt-4", + "gpt-4-0314", + "gpt-4-0613", + "gpt-4-32k", + "gpt-4-32k-0314", + "gpt-4-32k-0613", + "gpt-3.5-turbo", + "gpt-3.5-turbo-16k", + "gpt-3.5-turbo-0613", + "gpt-3.5-turbo-1106", + "gpt-3.5-turbo-0125", + "gpt-3.5-turbo-16k-0613", + ] + x-oaiTypeLabel: string + nullable: true + instructions: + description: Override the default system message of the assistant. This is useful for modifying the behavior on a per-run basis. + type: string + nullable: true + tools: + description: Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis. + nullable: true + type: array + maxItems: 20 + items: + oneOf: + - $ref: "#/components/schemas/AssistantToolsCode" + - $ref: "#/components/schemas/AssistantToolsFileSearch" + - $ref: "#/components/schemas/AssistantToolsFunction" + tool_resources: + type: object + description: | + A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. + properties: + code_interpreter: + type: object + properties: + file_ids: + type: array + description: | + A list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. + default: [] + maxItems: 20 + items: + type: string + file_search: + type: object + properties: + vector_store_ids: + type: array + description: | + The ID of the [vector store](/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. + maxItems: 1 + items: + type: string + nullable: true + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true + temperature: + type: number + minimum: 0 + maximum: 2 + default: 1 + example: 1 + nullable: true + description: *run_temperature_description + top_p: + type: number + minimum: 0 + maximum: 1 + default: 1 + example: 1 + nullable: true + description: *run_top_p_description + stream: + type: boolean + nullable: true + description: | + If `true`, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a `data: [DONE]` message. + max_prompt_tokens: + type: integer + nullable: true + description: | + The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info. + minimum: 256 + max_completion_tokens: + type: integer + nullable: true + description: | + The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info. + minimum: 256 + truncation_strategy: + $ref: "#/components/schemas/TruncationObject" + nullable: true + tool_choice: + $ref: "#/components/schemas/AssistantsApiToolChoiceOption" + nullable: true + parallel_tool_calls: + $ref: "#/components/schemas/ParallelToolCalls" + response_format: + $ref: "#/components/schemas/AssistantsApiResponseFormatOption" + nullable: true + required: + - thread_id + - assistant_id + + ThreadObject: + type: object + title: Thread + description: Represents a thread that contains [messages](/docs/api-reference/messages). + properties: + id: + description: The identifier, which can be referenced in API endpoints. + type: string + object: + description: The object type, which is always `thread`. + type: string + enum: ["thread"] + created_at: + description: The Unix timestamp (in seconds) for when the thread was created. + type: integer + tool_resources: + type: object + description: | + A set of resources that are made available to the assistant's tools in this thread. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. + properties: + code_interpreter: + type: object + properties: + file_ids: + type: array + description: | + A list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. + default: [] + maxItems: 20 + items: + type: string + file_search: + type: object + properties: + vector_store_ids: + type: array + description: | + The [vector store](/docs/api-reference/vector-stores/object) attached to this thread. There can be a maximum of 1 vector store attached to the thread. + maxItems: 1 + items: + type: string + nullable: true + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true + required: + - id + - object + - created_at + - tool_resources + - metadata + x-oaiMeta: + name: The thread object + beta: true + example: | { - "role": "user", - "content": "How does AI work? Explain it in simple terms." - }, - ] - ) + "id": "thread_abc123", + "object": "thread", + "created_at": 1698107661, + "metadata": {} + } - print(message_thread) - node.js: |- - import OpenAI from "openai"; + CreateThreadRequest: + type: object + additionalProperties: false + properties: + messages: + description: A list of [messages](/docs/api-reference/messages) to start the thread with. + type: array + items: + $ref: "#/components/schemas/CreateMessageRequest" + tool_resources: + type: object + description: | + A set of resources that are made available to the assistant's tools in this thread. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. + properties: + code_interpreter: + type: object + properties: + file_ids: + type: array + description: | + A list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. + default: [] + maxItems: 20 + items: + type: string + file_search: + type: object + properties: + vector_store_ids: + type: array + description: | + The [vector store](/docs/api-reference/vector-stores/object) attached to this thread. There can be a maximum of 1 vector store attached to the thread. + maxItems: 1 + items: + type: string + vector_stores: + type: array + description: | + A helper to create a [vector store](/docs/api-reference/vector-stores/object) with file_ids and attach it to this thread. There can be a maximum of 1 vector store attached to the thread. + maxItems: 1 + items: + type: object + properties: + file_ids: + type: array + description: | + A list of [file](/docs/api-reference/files) IDs to add to the vector store. There can be a maximum of 10000 files in a vector store. + maxItems: 10000 + items: + type: string + chunking_strategy: + # Ideally we'd reuse the chunking strategy schema here, but it doesn't expand properly + type: object + description: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy. + oneOf: + - type: object + title: Auto Chunking Strategy + description: The default strategy. This strategy currently uses a `max_chunk_size_tokens` of `800` and `chunk_overlap_tokens` of `400`. + additionalProperties: false + properties: + type: + type: string + description: Always `auto`. + enum: ["auto"] + required: + - type + - type: object + title: Static Chunking Strategy + additionalProperties: false + properties: + type: + type: string + description: Always `static`. + enum: ["static"] + static: + type: object + additionalProperties: false + properties: + max_chunk_size_tokens: + type: integer + minimum: 100 + maximum: 4096 + description: The maximum number of tokens in each chunk. The default value is `800`. The minimum value is `100` and the maximum value is `4096`. + chunk_overlap_tokens: + type: integer + description: | + The number of tokens that overlap between chunks. The default value is `400`. + + Note that the overlap must not exceed half of `max_chunk_size_tokens`. + required: + - max_chunk_size_tokens + - chunk_overlap_tokens + required: + - type + - static + x-oaiExpandable: true + metadata: + type: object + description: | + Set of 16 key-value pairs that can be attached to a vector store. This can be useful for storing additional information about the vector store in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long. + x-oaiTypeLabel: map + x-oaiExpandable: true + oneOf: + - required: [vector_store_ids] + - required: [vector_stores] + nullable: true + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true - const openai = new OpenAI(); + ModifyThreadRequest: + type: object + additionalProperties: false + properties: + tool_resources: + type: object + description: | + A set of resources that are made available to the assistant's tools in this thread. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. + properties: + code_interpreter: + type: object + properties: + file_ids: + type: array + description: | + A list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. + default: [] + maxItems: 20 + items: + type: string + file_search: + type: object + properties: + vector_store_ids: + type: array + description: | + The [vector store](/docs/api-reference/vector-stores/object) attached to this thread. There can be a maximum of 1 vector store attached to the thread. + maxItems: 1 + items: + type: string + nullable: true + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true - async function main() { - const messageThread = await openai.beta.threads.create({ - messages: [ - { - role: "user", - content: "Hello, what is AI?" - }, - { - role: "user", - content: "How does AI work? Explain it in simple terms.", - }, - ], - }); - - console.log(messageThread); - } - - main(); - response: | - { - "id": "thread_abc123", - "object": "thread", - "created_at": 1699014083, - "metadata": {}, - "tool_resources": {} - } - - /threads/{thread_id}: - get: - operationId: getThread - tags: - - Assistants - summary: Retrieves a thread. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: The ID of the thread to retrieve. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ThreadObject" - x-oaiMeta: - name: Retrieve thread - group: threads - beta: true - returns: The [thread](/docs/api-reference/threads/object) object matching the specified ID. - examples: - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123 \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - my_thread = client.beta.threads.retrieve("thread_abc123") - print(my_thread) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const myThread = await openai.beta.threads.retrieve( - "thread_abc123" - ); - - console.log(myThread); - } - - main(); - response: | - { - "id": "thread_abc123", - "object": "thread", - "created_at": 1699014083, - "metadata": {}, - "tool_resources": { - "code_interpreter": { - "file_ids": [] - } - } - } - post: - operationId: modifyThread - tags: - - Assistants - summary: Modifies a thread. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: The ID of the thread to modify. Only the `metadata` can be modified. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/ModifyThreadRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ThreadObject" - x-oaiMeta: - name: Modify thread - group: threads - beta: true - returns: The modified [thread](/docs/api-reference/threads/object) object matching the specified ID. - examples: - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123 \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "metadata": { - "modified": "true", - "user": "abc123" + DeleteThreadResponse: + type: object + properties: + id: + type: string + deleted: + type: boolean + object: + type: string + enum: [thread.deleted] + required: + - id + - object + - deleted + + ListThreadsResponse: + properties: + object: + type: string + example: "list" + data: + type: array + items: + $ref: "#/components/schemas/ThreadObject" + first_id: + type: string + example: "asst_abc123" + last_id: + type: string + example: "asst_abc456" + has_more: + type: boolean + example: false + required: + - object + - data + - first_id + - last_id + - has_more + + MessageObject: + type: object + title: The message object + description: Represents a message within a [thread](/docs/api-reference/threads). + properties: + id: + description: The identifier, which can be referenced in API endpoints. + type: string + object: + description: The object type, which is always `thread.message`. + type: string + enum: ["thread.message"] + created_at: + description: The Unix timestamp (in seconds) for when the message was created. + type: integer + thread_id: + description: The [thread](/docs/api-reference/threads) ID that this message belongs to. + type: string + status: + description: The status of the message, which can be either `in_progress`, `incomplete`, or `completed`. + type: string + enum: ["in_progress", "incomplete", "completed"] + incomplete_details: + description: On an incomplete message, details about why the message is incomplete. + type: object + properties: + reason: + type: string + description: The reason the message is incomplete. + enum: + [ + "content_filter", + "max_tokens", + "run_cancelled", + "run_expired", + "run_failed", + ] + nullable: true + required: + - reason + completed_at: + description: The Unix timestamp (in seconds) for when the message was completed. + type: integer + nullable: true + incomplete_at: + description: The Unix timestamp (in seconds) for when the message was marked as incomplete. + type: integer + nullable: true + role: + description: The entity that produced the message. One of `user` or `assistant`. + type: string + enum: ["user", "assistant"] + content: + description: The content of the message in array of text and/or images. + type: array + items: + oneOf: + - $ref: "#/components/schemas/MessageContentImageFileObject" + - $ref: "#/components/schemas/MessageContentImageUrlObject" + - $ref: "#/components/schemas/MessageContentTextObject" + - $ref: "#/components/schemas/MessageContentRefusalObject" + x-oaiExpandable: true + assistant_id: + description: If applicable, the ID of the [assistant](/docs/api-reference/assistants) that authored this message. + type: string + nullable: true + run_id: + description: The ID of the [run](/docs/api-reference/runs) associated with the creation of this message. Value is `null` when messages are created manually using the create message or create thread endpoints. + type: string + nullable: true + attachments: + type: array + items: + type: object + properties: + file_id: + type: string + description: The ID of the file to attach to the message. + tools: + description: The tools to add this file to. + type: array + items: + oneOf: + - $ref: "#/components/schemas/AssistantToolsCode" + - $ref: "#/components/schemas/AssistantToolsFileSearchTypeOnly" + x-oaiExpandable: true + description: A list of files attached to the message, and the tools they were added to. + nullable: true + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true + required: + - id + - object + - created_at + - thread_id + - status + - incomplete_details + - completed_at + - incomplete_at + - role + - content + - assistant_id + - run_id + - attachments + - metadata + x-oaiMeta: + name: The message object + beta: true + example: | + { + "id": "msg_abc123", + "object": "thread.message", + "created_at": 1698983503, + "thread_id": "thread_abc123", + "role": "assistant", + "content": [ + { + "type": "text", + "text": { + "value": "Hi! How can I help you today?", + "annotations": [] + } + } + ], + "assistant_id": "asst_abc123", + "run_id": "run_abc123", + "attachments": [], + "metadata": {} } - }' - python: | - from openai import OpenAI - client = OpenAI() - - my_updated_thread = client.beta.threads.update( - "thread_abc123", - metadata={ - "modified": "true", - "user": "abc123" - } - ) - print(my_updated_thread) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const updatedThread = await openai.beta.threads.update( - "thread_abc123", - { - metadata: { modified: "true", user: "abc123" }, - } - ); - - console.log(updatedThread); - } - - main(); - response: | - { - "id": "thread_abc123", - "object": "thread", - "created_at": 1699014083, - "metadata": { - "modified": "true", - "user": "abc123" - }, - "tool_resources": {} - } - delete: - operationId: deleteThread - tags: - - Assistants - summary: Delete a thread. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: The ID of the thread to delete. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/DeleteThreadResponse" - x-oaiMeta: - name: Delete thread - group: threads - beta: true - returns: Deletion status - examples: - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123 \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" \ - -X DELETE - python: | - from openai import OpenAI - client = OpenAI() - - response = client.beta.threads.delete("thread_abc123") - print(response) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const response = await openai.beta.threads.del("thread_abc123"); - - console.log(response); - } - main(); - response: | - { - "id": "thread_abc123", - "object": "thread.deleted", - "deleted": true - } - - /threads/{thread_id}/messages: - get: - operationId: listMessages - tags: - - Assistants - summary: Returns a list of messages for a given thread. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: The ID of the [thread](/docs/api-reference/threads) the messages belong to. - - name: limit - in: query - description: *pagination_limit_param_description - required: false - schema: - type: integer - default: 20 - - name: order - in: query - description: *pagination_order_param_description - schema: - type: string - default: desc - enum: ["asc", "desc"] - - name: after - in: query - description: *pagination_after_param_description - schema: - type: string - - name: before - in: query - description: *pagination_before_param_description - schema: - type: string - - name: run_id - in: query - description: | - Filter messages by the run ID that generated them. - schema: - type: string - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ListMessagesResponse" - x-oaiMeta: - name: List messages - group: threads - beta: true - returns: A list of [message](/docs/api-reference/messages) objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123/messages \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - thread_messages = client.beta.threads.messages.list("thread_abc123") - print(thread_messages.data) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const threadMessages = await openai.beta.threads.messages.list( - "thread_abc123" - ); - - console.log(threadMessages.data); - } - - main(); - response: | - { - "object": "list", - "data": [ - { - "id": "msg_abc123", - "object": "thread.message", - "created_at": 1699016383, - "assistant_id": null, - "thread_id": "thread_abc123", - "run_id": null, - "role": "user", - "content": [ + + MessageDeltaObject: + type: object + title: Message delta object + description: | + Represents a message delta i.e. any changed fields on a message during streaming. + properties: + id: + description: The identifier of the message, which can be referenced in API endpoints. + type: string + object: + description: The object type, which is always `thread.message.delta`. + type: string + enum: ["thread.message.delta"] + delta: + description: The delta containing the fields that have changed on the Message. + type: object + properties: + role: + description: The entity that produced the message. One of `user` or `assistant`. + type: string + enum: ["user", "assistant"] + content: + description: The content of the message in array of text and/or images. + type: array + items: + oneOf: + - $ref: "#/components/schemas/MessageDeltaContentImageFileObject" + - $ref: "#/components/schemas/MessageDeltaContentTextObject" + - $ref: "#/components/schemas/MessageDeltaContentRefusalObject" + - $ref: "#/components/schemas/MessageDeltaContentImageUrlObject" + x-oaiExpandable: true + required: + - id + - object + - delta + x-oaiMeta: + name: The message delta object + beta: true + example: | { - "type": "text", - "text": { - "value": "How does AI work? Explain it in simple terms.", - "annotations": [] + "id": "msg_123", + "object": "thread.message.delta", + "delta": { + "content": [ + { + "index": 0, + "type": "text", + "text": { "value": "Hello", "annotations": [] } + } + ] } } - ], - "attachments": [], - "metadata": {} - }, - { - "id": "msg_abc456", - "object": "thread.message", - "created_at": 1699016383, - "assistant_id": null, - "thread_id": "thread_abc123", - "run_id": null, - "role": "user", - "content": [ + + CreateMessageRequest: + type: object + additionalProperties: false + required: + - role + - content + properties: + role: + type: string + enum: ["user", "assistant"] + description: | + The role of the entity that is creating the message. Allowed values include: + - `user`: Indicates the message is sent by an actual user and should be used in most cases to represent user-generated messages. + - `assistant`: Indicates the message is generated by the assistant. Use this value to insert messages from the assistant into the conversation. + content: + oneOf: + - type: string + description: The text contents of the message. + title: Text content + - type: array + description: An array of content parts with a defined type, each can be of type `text` or images can be passed with `image_url` or `image_file`. Image types are only supported on [Vision-compatible models](/docs/models/overview). + title: Array of content parts + items: + oneOf: + - $ref: "#/components/schemas/MessageContentImageFileObject" + - $ref: "#/components/schemas/MessageContentImageUrlObject" + - $ref: "#/components/schemas/MessageRequestContentTextObject" + x-oaiExpandable: true + minItems: 1 + x-oaiExpandable: true + attachments: + type: array + items: + type: object + properties: + file_id: + type: string + description: The ID of the file to attach to the message. + tools: + description: The tools to add this file to. + type: array + items: + oneOf: + - $ref: "#/components/schemas/AssistantToolsCode" + - $ref: "#/components/schemas/AssistantToolsFileSearchTypeOnly" + x-oaiExpandable: true + description: A list of files attached to the message, and the tools they should be added to. + required: + - file_id + - tools + nullable: true + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true + + ModifyMessageRequest: + type: object + additionalProperties: false + properties: + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true + + DeleteMessageResponse: + type: object + properties: + id: + type: string + deleted: + type: boolean + object: + type: string + enum: [thread.message.deleted] + required: + - id + - object + - deleted + + ListMessagesResponse: + properties: + object: + type: string + example: "list" + data: + type: array + items: + $ref: "#/components/schemas/MessageObject" + first_id: + type: string + example: "msg_abc123" + last_id: + type: string + example: "msg_abc123" + has_more: + type: boolean + example: false + required: + - object + - data + - first_id + - last_id + - has_more + + MessageContentImageFileObject: + title: Image file + type: object + description: References an image [File](/docs/api-reference/files) in the content of a message. + properties: + type: + description: Always `image_file`. + type: string + enum: ["image_file"] + image_file: + type: object + properties: + file_id: + description: The [File](/docs/api-reference/files) ID of the image in the message content. Set `purpose="vision"` when uploading the File if you need to later display the file content. + type: string + detail: + type: string + description: Specifies the detail level of the image if specified by the user. `low` uses fewer tokens, you can opt in to high resolution using `high`. + enum: ["auto", "low", "high"] + default: "auto" + required: + - file_id + required: + - type + - image_file + + MessageDeltaContentImageFileObject: + title: Image file + type: object + description: References an image [File](/docs/api-reference/files) in the content of a message. + properties: + index: + type: integer + description: The index of the content part in the message. + type: + description: Always `image_file`. + type: string + enum: ["image_file"] + image_file: + type: object + properties: + file_id: + description: The [File](/docs/api-reference/files) ID of the image in the message content. Set `purpose="vision"` when uploading the File if you need to later display the file content. + type: string + detail: + type: string + description: Specifies the detail level of the image if specified by the user. `low` uses fewer tokens, you can opt in to high resolution using `high`. + enum: ["auto", "low", "high"] + default: "auto" + required: + - index + - type + + MessageContentImageUrlObject: + title: Image URL + type: object + description: References an image URL in the content of a message. + properties: + type: + type: string + enum: ["image_url"] + description: The type of the content part. + image_url: + type: object + properties: + url: + type: string + description: "The external URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp." + format: uri + detail: + type: string + description: Specifies the detail level of the image. `low` uses fewer tokens, you can opt in to high resolution using `high`. Default value is `auto` + enum: ["auto", "low", "high"] + default: "auto" + required: + - url + required: + - type + - image_url + + MessageDeltaContentImageUrlObject: + title: Image URL + type: object + description: References an image URL in the content of a message. + properties: + index: + type: integer + description: The index of the content part in the message. + type: + description: Always `image_url`. + type: string + enum: ["image_url"] + image_url: + type: object + properties: + url: + description: "The URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp." + type: string + detail: + type: string + description: Specifies the detail level of the image. `low` uses fewer tokens, you can opt in to high resolution using `high`. + enum: ["auto", "low", "high"] + default: "auto" + required: + - index + - type + + MessageContentTextObject: + title: Text + type: object + description: The text content that is part of a message. + properties: + type: + description: Always `text`. + type: string + enum: ["text"] + text: + type: object + properties: + value: + description: The data that makes up the text. + type: string + annotations: + type: array + items: + oneOf: + - $ref: "#/components/schemas/MessageContentTextAnnotationsFileCitationObject" + - $ref: "#/components/schemas/MessageContentTextAnnotationsFilePathObject" + x-oaiExpandable: true + required: + - value + - annotations + required: + - type + - text + + MessageContentRefusalObject: + title: Refusal + type: object + description: The refusal content generated by the assistant. + properties: + type: + description: Always `refusal`. + type: string + enum: ["refusal"] + refusal: + type: string + nullable: false + required: + - type + - refusal + + MessageRequestContentTextObject: + title: Text + type: object + description: The text content that is part of a message. + properties: + type: + description: Always `text`. + type: string + enum: ["text"] + text: + type: string + description: Text content to be sent to the model + required: + - type + - text + + MessageContentTextAnnotationsFileCitationObject: + title: File citation + type: object + description: A citation within the message that points to a specific quote from a specific File associated with the assistant or the message. Generated when the assistant uses the "file_search" tool to search files. + properties: + type: + description: Always `file_citation`. + type: string + enum: ["file_citation"] + text: + description: The text in the message content that needs to be replaced. + type: string + file_citation: + type: object + properties: + file_id: + description: The ID of the specific File the citation is from. + type: string + required: + - file_id + start_index: + type: integer + minimum: 0 + end_index: + type: integer + minimum: 0 + required: + - type + - text + - file_citation + - start_index + - end_index + + MessageContentTextAnnotationsFilePathObject: + title: File path + type: object + description: A URL for the file that's generated when the assistant used the `code_interpreter` tool to generate a file. + properties: + type: + description: Always `file_path`. + type: string + enum: ["file_path"] + text: + description: The text in the message content that needs to be replaced. + type: string + file_path: + type: object + properties: + file_id: + description: The ID of the file that was generated. + type: string + required: + - file_id + start_index: + type: integer + minimum: 0 + end_index: + type: integer + minimum: 0 + required: + - type + - text + - file_path + - start_index + - end_index + + MessageDeltaContentTextObject: + title: Text + type: object + description: The text content that is part of a message. + properties: + index: + type: integer + description: The index of the content part in the message. + type: + description: Always `text`. + type: string + enum: ["text"] + text: + type: object + properties: + value: + description: The data that makes up the text. + type: string + annotations: + type: array + items: + oneOf: + - $ref: "#/components/schemas/MessageDeltaContentTextAnnotationsFileCitationObject" + - $ref: "#/components/schemas/MessageDeltaContentTextAnnotationsFilePathObject" + x-oaiExpandable: true + required: + - index + - type + + MessageDeltaContentRefusalObject: + title: Refusal + type: object + description: The refusal content that is part of a message. + properties: + index: + type: integer + description: The index of the refusal part in the message. + type: + description: Always `refusal`. + type: string + enum: ["refusal"] + refusal: + type: string + required: + - index + - type + + + MessageDeltaContentTextAnnotationsFileCitationObject: + title: File citation + type: object + description: A citation within the message that points to a specific quote from a specific File associated with the assistant or the message. Generated when the assistant uses the "file_search" tool to search files. + properties: + index: + type: integer + description: The index of the annotation in the text content part. + type: + description: Always `file_citation`. + type: string + enum: ["file_citation"] + text: + description: The text in the message content that needs to be replaced. + type: string + file_citation: + type: object + properties: + file_id: + description: The ID of the specific File the citation is from. + type: string + quote: + description: The specific quote in the file. + type: string + start_index: + type: integer + minimum: 0 + end_index: + type: integer + minimum: 0 + required: + - index + - type + + MessageDeltaContentTextAnnotationsFilePathObject: + title: File path + type: object + description: A URL for the file that's generated when the assistant used the `code_interpreter` tool to generate a file. + properties: + index: + type: integer + description: The index of the annotation in the text content part. + type: + description: Always `file_path`. + type: string + enum: ["file_path"] + text: + description: The text in the message content that needs to be replaced. + type: string + file_path: + type: object + properties: + file_id: + description: The ID of the file that was generated. + type: string + start_index: + type: integer + minimum: 0 + end_index: + type: integer + minimum: 0 + required: + - index + - type + + RunStepObject: + type: object + title: Run steps + description: | + Represents a step in execution of a run. + properties: + id: + description: The identifier of the run step, which can be referenced in API endpoints. + type: string + object: + description: The object type, which is always `thread.run.step`. + type: string + enum: ["thread.run.step"] + created_at: + description: The Unix timestamp (in seconds) for when the run step was created. + type: integer + assistant_id: + description: The ID of the [assistant](/docs/api-reference/assistants) associated with the run step. + type: string + thread_id: + description: The ID of the [thread](/docs/api-reference/threads) that was run. + type: string + run_id: + description: The ID of the [run](/docs/api-reference/runs) that this run step is a part of. + type: string + type: + description: The type of run step, which can be either `message_creation` or `tool_calls`. + type: string + enum: ["message_creation", "tool_calls"] + status: + description: The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`. + type: string + enum: ["in_progress", "cancelled", "failed", "completed", "expired"] + step_details: + type: object + description: The details of the run step. + oneOf: + - $ref: "#/components/schemas/RunStepDetailsMessageCreationObject" + - $ref: "#/components/schemas/RunStepDetailsToolCallsObject" + x-oaiExpandable: true + last_error: + type: object + description: The last error associated with this run step. Will be `null` if there are no errors. + nullable: true + properties: + code: + type: string + description: One of `server_error` or `rate_limit_exceeded`. + enum: ["server_error", "rate_limit_exceeded"] + message: + type: string + description: A human-readable description of the error. + required: + - code + - message + expired_at: + description: The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired. + type: integer + nullable: true + cancelled_at: + description: The Unix timestamp (in seconds) for when the run step was cancelled. + type: integer + nullable: true + failed_at: + description: The Unix timestamp (in seconds) for when the run step failed. + type: integer + nullable: true + completed_at: + description: The Unix timestamp (in seconds) for when the run step completed. + type: integer + nullable: true + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true + usage: + $ref: "#/components/schemas/RunStepCompletionUsage" + required: + - id + - object + - created_at + - assistant_id + - thread_id + - run_id + - type + - status + - step_details + - last_error + - expired_at + - cancelled_at + - failed_at + - completed_at + - metadata + - usage + x-oaiMeta: + name: The run step object + beta: true + example: *run_step_object_example + + RunStepDeltaObject: + type: object + title: Run step delta object + description: | + Represents a run step delta i.e. any changed fields on a run step during streaming. + properties: + id: + description: The identifier of the run step, which can be referenced in API endpoints. + type: string + object: + description: The object type, which is always `thread.run.step.delta`. + type: string + enum: ["thread.run.step.delta"] + delta: + description: The delta containing the fields that have changed on the run step. + type: object + properties: + step_details: + type: object + description: The details of the run step. + oneOf: + - $ref: "#/components/schemas/RunStepDeltaStepDetailsMessageCreationObject" + - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsObject" + x-oaiExpandable: true + required: + - id + - object + - delta + x-oaiMeta: + name: The run step delta object + beta: true + example: | { - "type": "text", - "text": { - "value": "Hello, what is AI?", - "annotations": [] + "id": "step_123", + "object": "thread.run.step.delta", + "delta": { + "step_details": { + "type": "tool_calls", + "tool_calls": [ + { + "index": 0, + "id": "call_123", + "type": "code_interpreter", + "code_interpreter": { "input": "", "outputs": [] } + } + ] + } } } - ], - "attachments": [], - "metadata": {} - } - ], - "first_id": "msg_abc123", - "last_id": "msg_abc456", - "has_more": false - } - post: - operationId: createMessage - tags: - - Assistants - summary: Create a message. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: The ID of the [thread](/docs/api-reference/threads) to create a message for. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/CreateMessageRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/MessageObject" - x-oaiMeta: - name: Create message - group: threads - beta: true - returns: A [message](/docs/api-reference/messages/object) object. - examples: - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123/messages \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "role": "user", - "content": "How does AI work? Explain it in simple terms." - }' - python: | - from openai import OpenAI - client = OpenAI() - - thread_message = client.beta.threads.messages.create( - "thread_abc123", - role="user", - content="How does AI work? Explain it in simple terms.", - ) - print(thread_message) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const threadMessages = await openai.beta.threads.messages.create( - "thread_abc123", - { role: "user", content: "How does AI work? Explain it in simple terms." } - ); - - console.log(threadMessages); - } - - main(); - response: | - { - "id": "msg_abc123", - "object": "thread.message", - "created_at": 1713226573, - "assistant_id": null, - "thread_id": "thread_abc123", - "run_id": null, - "role": "user", - "content": [ - { - "type": "text", - "text": { - "value": "How does AI work? Explain it in simple terms.", - "annotations": [] - } - } - ], - "attachments": [], - "metadata": {} - } - - /threads/{thread_id}/messages/{message_id}: - get: - operationId: getMessage - tags: - - Assistants - summary: Retrieve a message. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: The ID of the [thread](/docs/api-reference/threads) to which this message belongs. - - in: path - name: message_id - required: true - schema: - type: string - description: The ID of the message to retrieve. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/MessageObject" - x-oaiMeta: - name: Retrieve message - group: threads - beta: true - returns: The [message](/docs/api-reference/threads/messages/object) object matching the specified ID. - examples: - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123 \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - message = client.beta.threads.messages.retrieve( - message_id="msg_abc123", - thread_id="thread_abc123", - ) - print(message) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const message = await openai.beta.threads.messages.retrieve( - "thread_abc123", - "msg_abc123" - ); - - console.log(message); - } - - main(); - response: | - { - "id": "msg_abc123", - "object": "thread.message", - "created_at": 1699017614, - "assistant_id": null, - "thread_id": "thread_abc123", - "run_id": null, - "role": "user", - "content": [ - { - "type": "text", - "text": { - "value": "How does AI work? Explain it in simple terms.", - "annotations": [] - } - } - ], - "attachments": [], - "metadata": {} - } - post: - operationId: modifyMessage - tags: - - Assistants - summary: Modifies a message. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: The ID of the thread to which this message belongs. - - in: path - name: message_id - required: true - schema: - type: string - description: The ID of the message to modify. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/ModifyMessageRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/MessageObject" - x-oaiMeta: - name: Modify message - group: threads - beta: true - returns: The modified [message](/docs/api-reference/threads/messages/object) object. - examples: - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123 \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "metadata": { - "modified": "true", - "user": "abc123" - } - }' - python: | - from openai import OpenAI - client = OpenAI() - - message = client.beta.threads.messages.update( - message_id="msg_abc12", - thread_id="thread_abc123", - metadata={ - "modified": "true", - "user": "abc123", - }, - ) - print(message) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const message = await openai.beta.threads.messages.update( - "thread_abc123", - "msg_abc123", - { - metadata: { - modified: "true", - user: "abc123", - }, - } - }' - response: | - { - "id": "msg_abc123", - "object": "thread.message", - "created_at": 1699017614, - "assistant_id": null, - "thread_id": "thread_abc123", - "run_id": null, - "role": "user", - "content": [ - { - "type": "text", - "text": { - "value": "How does AI work? Explain it in simple terms.", - "annotations": [] - } - } - ], - "file_ids": [], - "metadata": { - "modified": "true", - "user": "abc123" - } - } - delete: - operationId: deleteMessage - tags: - - Assistants - summary: Deletes a message. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: The ID of the thread to which this message belongs. - - in: path - name: message_id - required: true - schema: - type: string - description: The ID of the message to delete. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/DeleteMessageResponse" - x-oaiMeta: - name: Delete message - group: threads - beta: true - returns: Deletion status - examples: - request: - curl: | - curl -X DELETE https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123 \ - -H "Content-Type: application/json" \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - deleted_message = client.beta.threads.messages.delete( - message_id="msg_abc12", - thread_id="thread_abc123", - ) - print(deleted_message) - node.js: |- - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const deletedMessage = await openai.beta.threads.messages.del( - "thread_abc123", - "msg_abc123" - ); - - console.log(deletedMessage); - } - response: | - { - "id": "msg_abc123", - "object": "thread.message.deleted", - "deleted": true - } - - - /threads/runs: - post: - operationId: createThreadAndRun - tags: - - Assistants - summary: Create a thread and run it in one request. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/CreateThreadAndRunRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/RunObject" - x-oaiMeta: - name: Create thread and run - group: threads - beta: true - returns: A [run](/docs/api-reference/runs/object) object. - examples: - - title: Default - request: - curl: | - curl https://api.openai.com/v1/threads/runs \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "assistant_id": "asst_abc123", - "thread": { - "messages": [ - {"role": "user", "content": "Explain deep learning to a 5 year old."} - ] - } - }' - python: | - from openai import OpenAI - client = OpenAI() - - run = client.beta.threads.create_and_run( - assistant_id="asst_abc123", - thread={ - "messages": [ - {"role": "user", "content": "Explain deep learning to a 5 year old."} - ] - } - ) - - print(run) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); + ListRunStepsResponse: + properties: + object: + type: string + example: "list" + data: + type: array + items: + $ref: "#/components/schemas/RunStepObject" + first_id: + type: string + example: "step_abc123" + last_id: + type: string + example: "step_abc456" + has_more: + type: boolean + example: false + required: + - object + - data + - first_id + - last_id + - has_more + + RunStepDetailsMessageCreationObject: + title: Message creation + type: object + description: Details of the message creation by the run step. + properties: + type: + description: Always `message_creation`. + type: string + enum: ["message_creation"] + message_creation: + type: object + properties: + message_id: + type: string + description: The ID of the message that was created by this run step. + required: + - message_id + required: + - type + - message_creation - async function main() { - const run = await openai.beta.threads.createAndRun({ - assistant_id: "asst_abc123", - thread: { - messages: [ - { role: "user", content: "Explain deep learning to a 5 year old." }, - ], - }, - }); - - console.log(run); - } - - main(); - response: | - { - "id": "run_abc123", - "object": "thread.run", - "created_at": 1699076792, - "assistant_id": "asst_abc123", - "thread_id": "thread_abc123", - "status": "queued", - "started_at": null, - "expires_at": 1699077392, - "cancelled_at": null, - "failed_at": null, - "completed_at": null, - "required_action": null, - "last_error": null, - "model": "gpt-4-turbo", - "instructions": "You are a helpful assistant.", - "tools": [], - "tool_resources": {}, - "metadata": {}, - "temperature": 1.0, - "top_p": 1.0, - "max_completion_tokens": null, - "max_prompt_tokens": null, - "truncation_strategy": { - "type": "auto", - "last_messages": null - }, - "incomplete_details": null, - "usage": null, - "response_format": "auto", - "tool_choice": "auto" - } - - - title: Streaming - request: - curl: | - curl https://api.openai.com/v1/threads/runs \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "assistant_id": "asst_123", - "thread": { - "messages": [ - {"role": "user", "content": "Hello"} - ] - }, - "stream": true - }' - python: | - from openai import OpenAI - client = OpenAI() - - stream = client.beta.threads.create_and_run( - assistant_id="asst_123", - thread={ - "messages": [ - {"role": "user", "content": "Hello"} - ] - }, - stream=True - ) - - for event in stream: - print(event) - node.js: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const stream = await openai.beta.threads.createAndRun({ - assistant_id: "asst_123", - thread: { - messages: [ - { role: "user", content: "Hello" }, - ], - }, - stream: true - }); + RunStepDeltaStepDetailsMessageCreationObject: + title: Message creation + type: object + description: Details of the message creation by the run step. + properties: + type: + description: Always `message_creation`. + type: string + enum: ["message_creation"] + message_creation: + type: object + properties: + message_id: + type: string + description: The ID of the message that was created by this run step. + required: + - type - for await (const event of stream) { - console.log(event); - } - } + RunStepDetailsToolCallsObject: + title: Tool calls + type: object + description: Details of the tool call. + properties: + type: + description: Always `tool_calls`. + type: string + enum: ["tool_calls"] + tool_calls: + type: array + description: | + An array of tool calls the run step was involved in. These can be associated with one of three types of tools: `code_interpreter`, `file_search`, or `function`. + items: + oneOf: + - $ref: "#/components/schemas/RunStepDetailsToolCallsCodeObject" + - $ref: "#/components/schemas/RunStepDetailsToolCallsFileSearchObject" + - $ref: "#/components/schemas/RunStepDetailsToolCallsFunctionObject" + x-oaiExpandable: true + required: + - type + - tool_calls - main(); - response: | - event: thread.created - data: {"id":"thread_123","object":"thread","created_at":1710348075,"metadata":{}} + RunStepDeltaStepDetailsToolCallsObject: + title: Tool calls + type: object + description: Details of the tool call. + properties: + type: + description: Always `tool_calls`. + type: string + enum: ["tool_calls"] + tool_calls: + type: array + description: | + An array of tool calls the run step was involved in. These can be associated with one of three types of tools: `code_interpreter`, `file_search`, or `function`. + items: + oneOf: + - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsCodeObject" + - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsFileSearchObject" + - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsFunctionObject" + x-oaiExpandable: true + required: + - type - event: thread.run.created - data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto"} + RunStepDetailsToolCallsCodeObject: + title: Code Interpreter tool call + type: object + description: Details of the Code Interpreter tool call the run step was involved in. + properties: + id: + type: string + description: The ID of the tool call. + type: + type: string + description: The type of tool call. This is always going to be `code_interpreter` for this type of tool call. + enum: ["code_interpreter"] + code_interpreter: + type: object + description: The Code Interpreter tool call definition. + required: + - input + - outputs + properties: + input: + type: string + description: The input to the Code Interpreter tool call. + outputs: + type: array + description: The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (`logs`) or images (`image`). Each of these are represented by a different object type. + items: + type: object + oneOf: + - $ref: "#/components/schemas/RunStepDetailsToolCallsCodeOutputLogsObject" + - $ref: "#/components/schemas/RunStepDetailsToolCallsCodeOutputImageObject" + x-oaiExpandable: true + required: + - id + - type + - code_interpreter - event: thread.run.queued - data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto"} + RunStepDeltaStepDetailsToolCallsCodeObject: + title: Code interpreter tool call + type: object + description: Details of the Code Interpreter tool call the run step was involved in. + properties: + index: + type: integer + description: The index of the tool call in the tool calls array. + id: + type: string + description: The ID of the tool call. + type: + type: string + description: The type of tool call. This is always going to be `code_interpreter` for this type of tool call. + enum: ["code_interpreter"] + code_interpreter: + type: object + description: The Code Interpreter tool call definition. + properties: + input: + type: string + description: The input to the Code Interpreter tool call. + outputs: + type: array + description: The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (`logs`) or images (`image`). Each of these are represented by a different object type. + items: + type: object + oneOf: + - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsCodeOutputLogsObject" + - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsCodeOutputImageObject" + x-oaiExpandable: true + required: + - index + - type - event: thread.run.in_progress - data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto"} + RunStepDetailsToolCallsCodeOutputLogsObject: + title: Code Interpreter log output + type: object + description: Text output from the Code Interpreter tool call as part of a run step. + properties: + type: + description: Always `logs`. + type: string + enum: ["logs"] + logs: + type: string + description: The text output from the Code Interpreter tool call. + required: + - type + - logs - event: thread.run.step.created - data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null} + RunStepDeltaStepDetailsToolCallsCodeOutputLogsObject: + title: Code interpreter log output + type: object + description: Text output from the Code Interpreter tool call as part of a run step. + properties: + index: + type: integer + description: The index of the output in the outputs array. + type: + description: Always `logs`. + type: string + enum: ["logs"] + logs: + type: string + description: The text output from the Code Interpreter tool call. + required: + - index + - type - event: thread.run.step.in_progress - data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null} + RunStepDetailsToolCallsCodeOutputImageObject: + title: Code Interpreter image output + type: object + properties: + type: + description: Always `image`. + type: string + enum: ["image"] + image: + type: object + properties: + file_id: + description: The [file](/docs/api-reference/files) ID of the image. + type: string + required: + - file_id + required: + - type + - image - event: thread.message.created - data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[], "metadata":{}} + RunStepDeltaStepDetailsToolCallsCodeOutputImageObject: + title: Code interpreter image output + type: object + properties: + index: + type: integer + description: The index of the output in the outputs array. + type: + description: Always `image`. + type: string + enum: ["image"] + image: + type: object + properties: + file_id: + description: The [file](/docs/api-reference/files) ID of the image. + type: string + required: + - index + - type - event: thread.message.in_progress - data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[], "metadata":{}} + RunStepDetailsToolCallsFileSearchObject: + title: File search tool call + type: object + properties: + id: + type: string + description: The ID of the tool call object. + type: + type: string + description: The type of tool call. This is always going to be `file_search` for this type of tool call. + enum: ["file_search"] + file_search: + type: object + description: For now, this is always going to be an empty object. + x-oaiTypeLabel: map + required: + - id + - type + - file_search - event: thread.message.delta - data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}} + RunStepDeltaStepDetailsToolCallsFileSearchObject: + title: File search tool call + type: object + properties: + index: + type: integer + description: The index of the tool call in the tool calls array. + id: + type: string + description: The ID of the tool call object. + type: + type: string + description: The type of tool call. This is always going to be `file_search` for this type of tool call. + enum: ["file_search"] + file_search: + type: object + description: For now, this is always going to be an empty object. + x-oaiTypeLabel: map + required: + - index + - type + - file_search - ... + RunStepDetailsToolCallsFunctionObject: + type: object + title: Function tool call + properties: + id: + type: string + description: The ID of the tool call object. + type: + type: string + description: The type of tool call. This is always going to be `function` for this type of tool call. + enum: ["function"] + function: + type: object + description: The definition of the function that was called. + properties: + name: + type: string + description: The name of the function. + arguments: + type: string + description: The arguments passed to the function. + output: + type: string + description: The output of the function. This will be `null` if the outputs have not been [submitted](/docs/api-reference/runs/submitToolOutputs) yet. + nullable: true + required: + - name + - arguments + - output + required: + - id + - type + - function - event: thread.message.delta - data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" today"}}]}} + RunStepDeltaStepDetailsToolCallsFunctionObject: + type: object + title: Function tool call + properties: + index: + type: integer + description: The index of the tool call in the tool calls array. + id: + type: string + description: The ID of the tool call object. + type: + type: string + description: The type of tool call. This is always going to be `function` for this type of tool call. + enum: ["function"] + function: + type: object + description: The definition of the function that was called. + properties: + name: + type: string + description: The name of the function. + arguments: + type: string + description: The arguments passed to the function. + output: + type: string + description: The output of the function. This will be `null` if the outputs have not been [submitted](/docs/api-reference/runs/submitToolOutputs) yet. + nullable: true + required: + - index + - type - event: thread.message.delta - data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}} + VectorStoreExpirationAfter: + type: object + title: Vector store expiration policy + description: The expiration policy for a vector store. + properties: + anchor: + description: "Anchor timestamp after which the expiration policy applies. Supported anchors: `last_active_at`." + type: string + enum: ["last_active_at"] + days: + description: The number of days after the anchor time that the vector store will expire. + type: integer + minimum: 1 + maximum: 365 + required: + - anchor + - days - event: thread.message.completed - data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710348077,"role":"assistant","content":[{"type":"text","text":{"value":"Hello! How can I assist you today?","annotations":[]}}], "metadata":{}} + VectorStoreObject: + type: object + title: Vector store + description: A vector store is a collection of processed files can be used by the `file_search` tool. + properties: + id: + description: The identifier, which can be referenced in API endpoints. + type: string + object: + description: The object type, which is always `vector_store`. + type: string + enum: ["vector_store"] + created_at: + description: The Unix timestamp (in seconds) for when the vector store was created. + type: integer + name: + description: The name of the vector store. + type: string + usage_bytes: + description: The total number of bytes used by the files in the vector store. + type: integer + file_counts: + type: object + properties: + in_progress: + description: The number of files that are currently being processed. + type: integer + completed: + description: The number of files that have been successfully processed. + type: integer + failed: + description: The number of files that have failed to process. + type: integer + cancelled: + description: The number of files that were cancelled. + type: integer + total: + description: The total number of files. + type: integer + required: + - in_progress + - completed + - failed + - cancelled + - total + status: + description: The status of the vector store, which can be either `expired`, `in_progress`, or `completed`. A status of `completed` indicates that the vector store is ready for use. + type: string + enum: ["expired", "in_progress", "completed"] + expires_after: + $ref: "#/components/schemas/VectorStoreExpirationAfter" + expires_at: + description: The Unix timestamp (in seconds) for when the vector store will expire. + type: integer + nullable: true + last_active_at: + description: The Unix timestamp (in seconds) for when the vector store was last active. + type: integer + nullable: true + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true + required: + - id + - object + - usage_bytes + - created_at + - status + - last_active_at + - name + - file_counts + - metadata + x-oaiMeta: + name: The vector store object + beta: true + example: | + { + "id": "vs_123", + "object": "vector_store", + "created_at": 1698107661, + "usage_bytes": 123456, + "last_active_at": 1698107661, + "name": "my_vector_store", + "status": "completed", + "file_counts": { + "in_progress": 0, + "completed": 100, + "cancelled": 0, + "failed": 0, + "total": 100 + }, + "metadata": {}, + "last_used_at": 1698107661 + } - event: thread.run.step.completed - data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710348077,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}} + CreateVectorStoreRequest: + type: object + additionalProperties: false + properties: + file_ids: + description: A list of [File](/docs/api-reference/files) IDs that the vector store should use. Useful for tools like `file_search` that can access files. + type: array + maxItems: 500 + items: + type: string + name: + description: The name of the vector store. + type: string + expires_after: + $ref: "#/components/schemas/VectorStoreExpirationAfter" + chunking_strategy: + type: object + description: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy. Only applicable if `file_ids` is non-empty. + oneOf: + - $ref: "#/components/schemas/AutoChunkingStrategyRequestParam" + - $ref: "#/components/schemas/StaticChunkingStrategyRequestParam" + x-oaiExpandable: true + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true - event: thread.run.completed - {"id":"run_123","object":"thread.run","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1713226836,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1713226837,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":345,"completion_tokens":11,"total_tokens":356},"response_format":"auto","tool_choice":"auto"} + UpdateVectorStoreRequest: + type: object + additionalProperties: false + properties: + name: + description: The name of the vector store. + type: string + nullable: true + expires_after: + $ref: "#/components/schemas/VectorStoreExpirationAfter" + nullable: true + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true - event: done - data: [DONE] + ListVectorStoresResponse: + properties: + object: + type: string + example: "list" + data: + type: array + items: + $ref: "#/components/schemas/VectorStoreObject" + first_id: + type: string + example: "vs_abc123" + last_id: + type: string + example: "vs_abc456" + has_more: + type: boolean + example: false + required: + - object + - data + - first_id + - last_id + - has_more - - title: Streaming with Functions - request: - curl: | - curl https://api.openai.com/v1/threads/runs \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "assistant_id": "asst_abc123", - "thread": { - "messages": [ - {"role": "user", "content": "What is the weather like in San Francisco?"} - ] - }, - "tools": [ - { - "type": "function", - "function": { - "name": "get_current_weather", - "description": "Get the current weather in a given location", - "parameters": { - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state, e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": ["celsius", "fahrenheit"] - } - }, - "required": ["location"] - } - } - } - ], - "stream": true - }' - python: | - from openai import OpenAI - client = OpenAI() + DeleteVectorStoreResponse: + type: object + properties: + id: + type: string + deleted: + type: boolean + object: + type: string + enum: [vector_store.deleted] + required: + - id + - object + - deleted - tools = [ - { - "type": "function", - "function": { - "name": "get_current_weather", - "description": "Get the current weather in a given location", - "parameters": { - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state, e.g. San Francisco, CA", - }, - "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, - }, - "required": ["location"], - }, - } - } - ] - - stream = client.beta.threads.create_and_run( - thread={ - "messages": [ - {"role": "user", "content": "What is the weather like in San Francisco?"} - ] - }, - assistant_id="asst_abc123", - tools=tools, - stream=True - ) - - for event in stream: - print(event) - node.js: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - const tools = [ - { - "type": "function", - "function": { - "name": "get_current_weather", - "description": "Get the current weather in a given location", - "parameters": { - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state, e.g. San Francisco, CA", - }, - "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, - }, - "required": ["location"], - }, + VectorStoreFileObject: + type: object + title: Vector store files + description: A list of files attached to a vector store. + properties: + id: + description: The identifier, which can be referenced in API endpoints. + type: string + object: + description: The object type, which is always `vector_store.file`. + type: string + enum: ["vector_store.file"] + usage_bytes: + description: The total vector store usage in bytes. Note that this may be different from the original file size. + type: integer + created_at: + description: The Unix timestamp (in seconds) for when the vector store file was created. + type: integer + vector_store_id: + description: The ID of the [vector store](/docs/api-reference/vector-stores/object) that the [File](/docs/api-reference/files) is attached to. + type: string + status: + description: The status of the vector store file, which can be either `in_progress`, `completed`, `cancelled`, or `failed`. The status `completed` indicates that the vector store file is ready for use. + type: string + enum: ["in_progress", "completed", "cancelled", "failed"] + last_error: + type: object + description: The last error associated with this vector store file. Will be `null` if there are no errors. + nullable: true + properties: + code: + type: string + description: One of `server_error` or `rate_limit_exceeded`. + enum: + [ + "server_error", + "unsupported_file", + "invalid_file", + ] + message: + type: string + description: A human-readable description of the error. + required: + - code + - message + chunking_strategy: + type: object + description: The strategy used to chunk the file. + oneOf: + - $ref: "#/components/schemas/StaticChunkingStrategyResponseParam" + - $ref: "#/components/schemas/OtherChunkingStrategyResponseParam" + x-oaiExpandable: true + required: + - id + - object + - usage_bytes + - created_at + - vector_store_id + - status + - last_error + x-oaiMeta: + name: The vector store file object + beta: true + example: | + { + "id": "file-abc123", + "object": "vector_store.file", + "usage_bytes": 1234, + "created_at": 1698107661, + "vector_store_id": "vs_abc123", + "status": "completed", + "last_error": null, + "chunking_strategy": { + "type": "static", + "static": { + "max_chunk_size_tokens": 800, + "chunk_overlap_tokens": 400 + } } } - ]; - - async function main() { - const stream = await openai.beta.threads.createAndRun({ - assistant_id: "asst_123", - thread: { - messages: [ - { role: "user", content: "What is the weather like in San Francisco?" }, - ], - }, - tools: tools, - stream: true - }); - - for await (const event of stream) { - console.log(event); - } - } - - main(); - response: | - event: thread.created - data: {"id":"thread_123","object":"thread","created_at":1710351818,"metadata":{}} - - event: thread.run.created - data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto"}} - event: thread.run.queued - data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto"}} - - event: thread.run.in_progress - data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710351818,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto"}} - - event: thread.run.step.created - data: {"id":"step_001","object":"thread.run.step","created_at":1710351819,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"tool_calls","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710352418,"failed_at":null,"last_error":null,"step_details":{"type":"tool_calls","tool_calls":[]},"usage":null} - - event: thread.run.step.in_progress - data: {"id":"step_001","object":"thread.run.step","created_at":1710351819,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"tool_calls","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710352418,"failed_at":null,"last_error":null,"step_details":{"type":"tool_calls","tool_calls":[]},"usage":null} + OtherChunkingStrategyResponseParam: + type: object + title: Other Chunking Strategy + description: This is returned when the chunking strategy is unknown. Typically, this is because the file was indexed before the `chunking_strategy` concept was introduced in the API. + additionalProperties: false + properties: + type: + type: string + description: Always `other`. + enum: ["other"] + required: + - type - event: thread.run.step.delta - data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"id":"call_XXNp8YGaFrjrSjgqxtC8JJ1B","type":"function","function":{"name":"get_current_weather","arguments":"","output":null}}]}}} + StaticChunkingStrategyResponseParam: + type: object + title: Static Chunking Strategy + additionalProperties: false + properties: + type: + type: string + description: Always `static`. + enum: ["static"] + static: + $ref: "#/components/schemas/StaticChunkingStrategy" + required: + - type + - static - event: thread.run.step.delta - data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"{\""}}]}}} + StaticChunkingStrategy: + type: object + additionalProperties: false + properties: + max_chunk_size_tokens: + type: integer + minimum: 100 + maximum: 4096 + description: The maximum number of tokens in each chunk. The default value is `800`. The minimum value is `100` and the maximum value is `4096`. + chunk_overlap_tokens: + type: integer + description: | + The number of tokens that overlap between chunks. The default value is `400`. + + Note that the overlap must not exceed half of `max_chunk_size_tokens`. + required: + - max_chunk_size_tokens + - chunk_overlap_tokens - event: thread.run.step.delta - data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"location"}}]}}} + AutoChunkingStrategyRequestParam: + type: object + title: Auto Chunking Strategy + description: The default strategy. This strategy currently uses a `max_chunk_size_tokens` of `800` and `chunk_overlap_tokens` of `400`. + additionalProperties: false + properties: + type: + type: string + description: Always `auto`. + enum: ["auto"] + required: + - type - ... + StaticChunkingStrategyRequestParam: + type: object + title: Static Chunking Strategy + additionalProperties: false + properties: + type: + type: string + description: Always `static`. + enum: ["static"] + static: + $ref: "#/components/schemas/StaticChunkingStrategy" + required: + - type + - static - event: thread.run.step.delta - data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"ahrenheit"}}]}}} + ChunkingStrategyRequestParam: + type: object + description: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy. + oneOf: + - $ref: "#/components/schemas/AutoChunkingStrategyRequestParam" + - $ref: "#/components/schemas/StaticChunkingStrategyRequestParam" + x-oaiExpandable: true - event: thread.run.step.delta - data: {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"\"}"}}]}}} + CreateVectorStoreFileRequest: + type: object + additionalProperties: false + properties: + file_id: + description: A [File](/docs/api-reference/files) ID that the vector store should use. Useful for tools like `file_search` that can access files. + type: string + chunking_strategy: + $ref: "#/components/schemas/ChunkingStrategyRequestParam" + required: + - file_id - event: thread.run.requires_action - data: {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"requires_action","started_at":1710351818,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":{"type":"submit_tool_outputs","submit_tool_outputs":{"tool_calls":[{"id":"call_XXNp8YGaFrjrSjgqxtC8JJ1B","type":"function","function":{"name":"get_current_weather","arguments":"{\"location\":\"San Francisco, CA\",\"unit\":\"fahrenheit\"}"}}]}},"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":345,"completion_tokens":11,"total_tokens":356},"response_format":"auto","tool_choice":"auto"}} + ListVectorStoreFilesResponse: + properties: + object: + type: string + example: "list" + data: + type: array + items: + $ref: "#/components/schemas/VectorStoreFileObject" + first_id: + type: string + example: "file-abc123" + last_id: + type: string + example: "file-abc456" + has_more: + type: boolean + example: false + required: + - object + - data + - first_id + - last_id + - has_more - event: done - data: [DONE] + DeleteVectorStoreFileResponse: + type: object + properties: + id: + type: string + deleted: + type: boolean + object: + type: string + enum: [vector_store.file.deleted] + required: + - id + - object + - deleted - /threads/{thread_id}/runs: - get: - operationId: listRuns - tags: - - Assistants - summary: Returns a list of runs belonging to a thread. - parameters: - - name: thread_id - in: path - required: true - schema: - type: string - description: The ID of the thread the run belongs to. - - name: limit - in: query - description: *pagination_limit_param_description - required: false - schema: - type: integer - default: 20 - - name: order - in: query - description: *pagination_order_param_description - schema: - type: string - default: desc - enum: ["asc", "desc"] - - name: after - in: query - description: *pagination_after_param_description - schema: - type: string - - name: before - in: query - description: *pagination_before_param_description - schema: - type: string - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ListRunsResponse" - x-oaiMeta: - name: List runs - group: threads - beta: true - returns: A list of [run](/docs/api-reference/runs/object) objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123/runs \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - runs = client.beta.threads.runs.list( - "thread_abc123" - ) - - print(runs) - node.js: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const runs = await openai.beta.threads.runs.list( - "thread_abc123" - ); - - console.log(runs); - } - - main(); - response: | - { - "object": "list", - "data": [ - { - "id": "run_abc123", - "object": "thread.run", - "created_at": 1699075072, - "assistant_id": "asst_abc123", - "thread_id": "thread_abc123", - "status": "completed", - "started_at": 1699075072, - "expires_at": null, - "cancelled_at": null, - "failed_at": null, - "completed_at": 1699075073, - "last_error": null, - "model": "gpt-4-turbo", - "instructions": null, - "incomplete_details": null, - "tools": [ - { - "type": "code_interpreter" - } - ], - "tool_resources": { - "code_interpreter": { - "file_ids": [ - "file-abc123", - "file-abc456" - ] - } - }, - "metadata": {}, - "usage": { - "prompt_tokens": 123, - "completion_tokens": 456, - "total_tokens": 579 - }, - "temperature": 1.0, - "top_p": 1.0, - "max_prompt_tokens": 1000, - "max_completion_tokens": 1000, - "truncation_strategy": { - "type": "auto", - "last_messages": null - }, - "response_format": "auto", - "tool_choice": "auto" - }, - { - "id": "run_abc456", - "object": "thread.run", - "created_at": 1699063290, - "assistant_id": "asst_abc123", - "thread_id": "thread_abc123", - "status": "completed", - "started_at": 1699063290, - "expires_at": null, - "cancelled_at": null, - "failed_at": null, - "completed_at": 1699063291, - "last_error": null, - "model": "gpt-4-turbo", - "instructions": null, - "incomplete_details": null, - "tools": [ + VectorStoreFileBatchObject: + type: object + title: Vector store file batch + description: A batch of files attached to a vector store. + properties: + id: + description: The identifier, which can be referenced in API endpoints. + type: string + object: + description: The object type, which is always `vector_store.file_batch`. + type: string + enum: ["vector_store.files_batch"] + created_at: + description: The Unix timestamp (in seconds) for when the vector store files batch was created. + type: integer + vector_store_id: + description: The ID of the [vector store](/docs/api-reference/vector-stores/object) that the [File](/docs/api-reference/files) is attached to. + type: string + status: + description: The status of the vector store files batch, which can be either `in_progress`, `completed`, `cancelled` or `failed`. + type: string + enum: ["in_progress", "completed", "cancelled", "failed"] + file_counts: + type: object + properties: + in_progress: + description: The number of files that are currently being processed. + type: integer + completed: + description: The number of files that have been processed. + type: integer + failed: + description: The number of files that have failed to process. + type: integer + cancelled: + description: The number of files that where cancelled. + type: integer + total: + description: The total number of files. + type: integer + required: + - in_progress + - completed + - cancelled + - failed + - total + required: + - id + - object + - created_at + - vector_store_id + - status + - file_counts + x-oaiMeta: + name: The vector store files batch object + beta: true + example: | { - "type": "code_interpreter" - } - ], - "tool_resources": { - "code_interpreter": { - "file_ids": [ - "file-abc123", - "file-abc456" - ] + "id": "vsfb_123", + "object": "vector_store.files_batch", + "created_at": 1698107661, + "vector_store_id": "vs_abc123", + "status": "completed", + "file_counts": { + "in_progress": 0, + "completed": 100, + "failed": 0, + "cancelled": 0, + "total": 100 + } } - }, - "metadata": {}, - "usage": { - "prompt_tokens": 123, - "completion_tokens": 456, - "total_tokens": 579 - }, - "temperature": 1.0, - "top_p": 1.0, - "max_prompt_tokens": 1000, - "max_completion_tokens": 1000, - "truncation_strategy": { - "type": "auto", - "last_messages": null - }, - "response_format": "auto", - "tool_choice": "auto" - } - ], - "first_id": "run_abc123", - "last_id": "run_abc456", - "has_more": false - } - post: - operationId: createRun - tags: - - Assistants - summary: Create a run. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: The ID of the thread to run. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/CreateRunRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/RunObject" - x-oaiMeta: - name: Create run - group: threads - beta: true - returns: A [run](/docs/api-reference/runs/object) object. - examples: - - title: Default - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123/runs \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "assistant_id": "asst_abc123" - }' - python: | - from openai import OpenAI - client = OpenAI() - - run = client.beta.threads.runs.create( - thread_id="thread_abc123", - assistant_id="asst_abc123" - ) - - print(run) - node.js: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const run = await openai.beta.threads.runs.create( - "thread_abc123", - { assistant_id: "asst_abc123" } - ); - - console.log(run); - } - - main(); - response: &run_object_example | - { - "id": "run_abc123", - "object": "thread.run", - "created_at": 1699063290, - "assistant_id": "asst_abc123", - "thread_id": "thread_abc123", - "status": "queued", - "started_at": 1699063290, - "expires_at": null, - "cancelled_at": null, - "failed_at": null, - "completed_at": 1699063291, - "last_error": null, - "model": "gpt-4-turbo", - "instructions": null, - "incomplete_details": null, - "tools": [ - { - "type": "code_interpreter" - } - ], - "metadata": {}, - "usage": null, - "temperature": 1.0, - "top_p": 1.0, - "max_prompt_tokens": 1000, - "max_completion_tokens": 1000, - "truncation_strategy": { - "type": "auto", - "last_messages": null - }, - "response_format": "auto", - "tool_choice": "auto" - } - - title: Streaming - request: - curl: | - curl https://api.openai.com/v1/threads/thread_123/runs \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "assistant_id": "asst_123", - "stream": true - }' - python: | - from openai import OpenAI - client = OpenAI() - - stream = client.beta.threads.runs.create( - thread_id="thread_123", - assistant_id="asst_123", - stream=True - ) - - for event in stream: - print(event) - node.js: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const stream = await openai.beta.threads.runs.create( - "thread_123", - { assistant_id: "asst_123", stream: true } - ); - - for await (const event of stream) { - console.log(event); - } - } - - main(); - response: | - event: thread.run.created - data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto"}} - - event: thread.run.queued - data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto"}} - - event: thread.run.in_progress - data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710330641,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto"}} - event: thread.run.step.created - data: {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null} - - event: thread.run.step.in_progress - data: {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null} - - event: thread.message.created - data: {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}} - - event: thread.message.in_progress - data: {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}} + CreateVectorStoreFileBatchRequest: + type: object + additionalProperties: false + properties: + file_ids: + description: A list of [File](/docs/api-reference/files) IDs that the vector store should use. Useful for tools like `file_search` that can access files. + type: array + minItems: 1 + maxItems: 500 + items: + type: string + chunking_strategy: + $ref: "#/components/schemas/ChunkingStrategyRequestParam" + required: + - file_ids - event: thread.message.delta - data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}} + AssistantStreamEvent: + description: | + Represents an event emitted when streaming a Run. - ... + Each event in a server-sent events stream has an `event` and `data` property: - event: thread.message.delta - data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" today"}}]}} + ``` + event: thread.created + data: {"id": "thread_123", "object": "thread", ...} + ``` - event: thread.message.delta - data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}} + We emit events whenever a new object is created, transitions to a new state, or is being + streamed in parts (deltas). For example, we emit `thread.run.created` when a new run + is created, `thread.run.completed` when a run completes, and so on. When an Assistant chooses + to create a message during a run, we emit a `thread.message.created event`, a + `thread.message.in_progress` event, many `thread.message.delta` events, and finally a + `thread.message.completed` event. - event: thread.message.completed - data: {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710330642,"role":"assistant","content":[{"type":"text","text":{"value":"Hello! How can I assist you today?","annotations":[]}}],"metadata":{}} + We may add additional events over time, so we recommend handling unknown events gracefully + in your code. See the [Assistants API quickstart](/docs/assistants/overview) to learn how to + integrate the Assistants API with streaming. + oneOf: + - $ref: "#/components/schemas/ThreadStreamEvent" + - $ref: "#/components/schemas/RunStreamEvent" + - $ref: "#/components/schemas/RunStepStreamEvent" + - $ref: "#/components/schemas/MessageStreamEvent" + - $ref: "#/components/schemas/ErrorEvent" + - $ref: "#/components/schemas/DoneEvent" + x-oaiMeta: + name: Assistant stream events + beta: true + + ThreadStreamEvent: + oneOf: + - type: object + properties: + event: + type: string + enum: ["thread.created"] + data: + $ref: "#/components/schemas/ThreadObject" + required: + - event + - data + description: Occurs when a new [thread](/docs/api-reference/threads/object) is created. + x-oaiMeta: + dataDescription: "`data` is a [thread](/docs/api-reference/threads/object)" + + RunStreamEvent: + oneOf: + - type: object + properties: + event: + type: string + enum: ["thread.run.created"] + data: + $ref: "#/components/schemas/RunObject" + required: + - event + - data + description: Occurs when a new [run](/docs/api-reference/runs/object) is created. + x-oaiMeta: + dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" + - type: object + properties: + event: + type: string + enum: ["thread.run.queued"] + data: + $ref: "#/components/schemas/RunObject" + required: + - event + - data + description: Occurs when a [run](/docs/api-reference/runs/object) moves to a `queued` status. + x-oaiMeta: + dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" + - type: object + properties: + event: + type: string + enum: ["thread.run.in_progress"] + data: + $ref: "#/components/schemas/RunObject" + required: + - event + - data + description: Occurs when a [run](/docs/api-reference/runs/object) moves to an `in_progress` status. + x-oaiMeta: + dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" + - type: object + properties: + event: + type: string + enum: ["thread.run.requires_action"] + data: + $ref: "#/components/schemas/RunObject" + required: + - event + - data + description: Occurs when a [run](/docs/api-reference/runs/object) moves to a `requires_action` status. + x-oaiMeta: + dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" + - type: object + properties: + event: + type: string + enum: ["thread.run.completed"] + data: + $ref: "#/components/schemas/RunObject" + required: + - event + - data + description: Occurs when a [run](/docs/api-reference/runs/object) is completed. + x-oaiMeta: + dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" + - type: object + properties: + event: + type: string + enum: [ "thread.run.incomplete" ] + data: + $ref: "#/components/schemas/RunObject" + required: + - event + - data + description: Occurs when a [run](/docs/api-reference/runs/object) ends with status `incomplete`. + x-oaiMeta: + dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" + - type: object + properties: + event: + type: string + enum: ["thread.run.failed"] + data: + $ref: "#/components/schemas/RunObject" + required: + - event + - data + description: Occurs when a [run](/docs/api-reference/runs/object) fails. + x-oaiMeta: + dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" + - type: object + properties: + event: + type: string + enum: ["thread.run.cancelling"] + data: + $ref: "#/components/schemas/RunObject" + required: + - event + - data + description: Occurs when a [run](/docs/api-reference/runs/object) moves to a `cancelling` status. + x-oaiMeta: + dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" + - type: object + properties: + event: + type: string + enum: ["thread.run.cancelled"] + data: + $ref: "#/components/schemas/RunObject" + required: + - event + - data + description: Occurs when a [run](/docs/api-reference/runs/object) is cancelled. + x-oaiMeta: + dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" + - type: object + properties: + event: + type: string + enum: ["thread.run.expired"] + data: + $ref: "#/components/schemas/RunObject" + required: + - event + - data + description: Occurs when a [run](/docs/api-reference/runs/object) expires. + x-oaiMeta: + dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" + + RunStepStreamEvent: + oneOf: + - type: object + properties: + event: + type: string + enum: ["thread.run.step.created"] + data: + $ref: "#/components/schemas/RunStepObject" + required: + - event + - data + description: Occurs when a [run step](/docs/api-reference/runs/step-object) is created. + x-oaiMeta: + dataDescription: "`data` is a [run step](/docs/api-reference/runs/step-object)" + - type: object + properties: + event: + type: string + enum: ["thread.run.step.in_progress"] + data: + $ref: "#/components/schemas/RunStepObject" + required: + - event + - data + description: Occurs when a [run step](/docs/api-reference/runs/step-object) moves to an `in_progress` state. + x-oaiMeta: + dataDescription: "`data` is a [run step](/docs/api-reference/runs/step-object)" + - type: object + properties: + event: + type: string + enum: ["thread.run.step.delta"] + data: + $ref: "#/components/schemas/RunStepDeltaObject" + required: + - event + - data + description: Occurs when parts of a [run step](/docs/api-reference/runs/step-object) are being streamed. + x-oaiMeta: + dataDescription: "`data` is a [run step delta](/docs/api-reference/assistants-streaming/run-step-delta-object)" + - type: object + properties: + event: + type: string + enum: ["thread.run.step.completed"] + data: + $ref: "#/components/schemas/RunStepObject" + required: + - event + - data + description: Occurs when a [run step](/docs/api-reference/runs/step-object) is completed. + x-oaiMeta: + dataDescription: "`data` is a [run step](/docs/api-reference/runs/step-object)" + - type: object + properties: + event: + type: string + enum: ["thread.run.step.failed"] + data: + $ref: "#/components/schemas/RunStepObject" + required: + - event + - data + description: Occurs when a [run step](/docs/api-reference/runs/step-object) fails. + x-oaiMeta: + dataDescription: "`data` is a [run step](/docs/api-reference/runs/step-object)" + - type: object + properties: + event: + type: string + enum: ["thread.run.step.cancelled"] + data: + $ref: "#/components/schemas/RunStepObject" + required: + - event + - data + description: Occurs when a [run step](/docs/api-reference/runs/step-object) is cancelled. + x-oaiMeta: + dataDescription: "`data` is a [run step](/docs/api-reference/runs/step-object)" + - type: object + properties: + event: + type: string + enum: ["thread.run.step.expired"] + data: + $ref: "#/components/schemas/RunStepObject" + required: + - event + - data + description: Occurs when a [run step](/docs/api-reference/runs/step-object) expires. + x-oaiMeta: + dataDescription: "`data` is a [run step](/docs/api-reference/runs/step-object)" + + MessageStreamEvent: + oneOf: + - type: object + properties: + event: + type: string + enum: ["thread.message.created"] + data: + $ref: "#/components/schemas/MessageObject" + required: + - event + - data + description: Occurs when a [message](/docs/api-reference/messages/object) is created. + x-oaiMeta: + dataDescription: "`data` is a [message](/docs/api-reference/messages/object)" + - type: object + properties: + event: + type: string + enum: ["thread.message.in_progress"] + data: + $ref: "#/components/schemas/MessageObject" + required: + - event + - data + description: Occurs when a [message](/docs/api-reference/messages/object) moves to an `in_progress` state. + x-oaiMeta: + dataDescription: "`data` is a [message](/docs/api-reference/messages/object)" + - type: object + properties: + event: + type: string + enum: ["thread.message.delta"] + data: + $ref: "#/components/schemas/MessageDeltaObject" + required: + - event + - data + description: Occurs when parts of a [Message](/docs/api-reference/messages/object) are being streamed. + x-oaiMeta: + dataDescription: "`data` is a [message delta](/docs/api-reference/assistants-streaming/message-delta-object)" + - type: object + properties: + event: + type: string + enum: ["thread.message.completed"] + data: + $ref: "#/components/schemas/MessageObject" + required: + - event + - data + description: Occurs when a [message](/docs/api-reference/messages/object) is completed. + x-oaiMeta: + dataDescription: "`data` is a [message](/docs/api-reference/messages/object)" + - type: object + properties: + event: + type: string + enum: ["thread.message.incomplete"] + data: + $ref: "#/components/schemas/MessageObject" + required: + - event + - data + description: Occurs when a [message](/docs/api-reference/messages/object) ends before it is completed. + x-oaiMeta: + dataDescription: "`data` is a [message](/docs/api-reference/messages/object)" + + ErrorEvent: + type: object + properties: + event: + type: string + enum: ["error"] + data: + $ref: "#/components/schemas/Error" + required: + - event + - data + description: Occurs when an [error](/docs/guides/error-codes/api-errors) occurs. This can happen due to an internal server error or a timeout. + x-oaiMeta: + dataDescription: "`data` is an [error](/docs/guides/error-codes/api-errors)" - event: thread.run.step.completed - data: {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710330642,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}} + DoneEvent: + type: object + properties: + event: + type: string + enum: ["done"] + data: + type: string + enum: ["[DONE]"] + required: + - event + - data + description: Occurs when a stream ends. + x-oaiMeta: + dataDescription: "`data` is `[DONE]`" - event: thread.run.completed - data: {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1710330641,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1710330642,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31},"response_format":"auto","tool_choice":"auto"}} + Batch: + type: object + properties: + id: + type: string + object: + type: string + enum: [batch] + description: The object type, which is always `batch`. + endpoint: + type: string + description: The OpenAI API endpoint used by the batch. - event: done - data: [DONE] + errors: + type: object + properties: + object: + type: string + description: The object type, which is always `list`. + data: + type: array + items: + type: object + properties: + code: + type: string + description: An error code identifying the error type. + message: + type: string + description: A human-readable message providing more details about the error. + param: + type: string + description: The name of the parameter that caused the error, if applicable. + nullable: true + line: + type: integer + description: The line number of the input file where the error occurred, if applicable. + nullable: true + input_file_id: + type: string + description: The ID of the input file for the batch. + completion_window: + type: string + description: The time frame within which the batch should be processed. + status: + type: string + description: The current status of the batch. + enum: + - validating + - failed + - in_progress + - finalizing + - completed + - expired + - cancelling + - cancelled + output_file_id: + type: string + description: The ID of the file containing the outputs of successfully executed requests. + error_file_id: + type: string + description: The ID of the file containing the outputs of requests with errors. + created_at: + type: integer + description: The Unix timestamp (in seconds) for when the batch was created. + in_progress_at: + type: integer + description: The Unix timestamp (in seconds) for when the batch started processing. + expires_at: + type: integer + description: The Unix timestamp (in seconds) for when the batch will expire. + finalizing_at: + type: integer + description: The Unix timestamp (in seconds) for when the batch started finalizing. + completed_at: + type: integer + description: The Unix timestamp (in seconds) for when the batch was completed. + failed_at: + type: integer + description: The Unix timestamp (in seconds) for when the batch failed. + expired_at: + type: integer + description: The Unix timestamp (in seconds) for when the batch expired. + cancelling_at: + type: integer + description: The Unix timestamp (in seconds) for when the batch started cancelling. + cancelled_at: + type: integer + description: The Unix timestamp (in seconds) for when the batch was cancelled. + request_counts: + type: object + properties: + total: + type: integer + description: Total number of requests in the batch. + completed: + type: integer + description: Number of requests that have been completed successfully. + failed: + type: integer + description: Number of requests that have failed. + required: + - total + - completed + - failed + description: The request counts for different statuses within the batch. + metadata: + description: *metadata_description + type: object + x-oaiTypeLabel: map + nullable: true + required: + - id + - object + - endpoint + - input_file_id + - completion_window + - status + - created_at + x-oaiMeta: + name: The batch object + example: *batch_object - - title: Streaming with Functions - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123/runs \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "assistant_id": "asst_abc123", - "tools": [ - { - "type": "function", - "function": { - "name": "get_current_weather", - "description": "Get the current weather in a given location", - "parameters": { - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state, e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": ["celsius", "fahrenheit"] - } - }, - "required": ["location"] - } - } - } - ], - "stream": true - }' - python: | - from openai import OpenAI - client = OpenAI() + BatchRequestInput: + type: object + description: The per-line object of the batch input file + properties: + custom_id: + type: string + description: A developer-provided per-request id that will be used to match outputs to inputs. Must be unique for each request in a batch. + method: + type: string + enum: ["POST"] + description: The HTTP method to be used for the request. Currently only `POST` is supported. + url: + type: string + description: The OpenAI API relative URL to be used for the request. Currently `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions` are supported. + x-oaiMeta: + name: The request input object + example: | + {"custom_id": "request-1", "method": "POST", "url": "/v1/chat/completions", "body": {"model": "gpt-4o-mini", "messages": [{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "What is 2+2?"}]}} - tools = [ - { - "type": "function", - "function": { - "name": "get_current_weather", - "description": "Get the current weather in a given location", - "parameters": { - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state, e.g. San Francisco, CA", - }, - "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, - }, - "required": ["location"], - }, - } - } - ] + BatchRequestOutput: + type: object + description: The per-line object of the batch output and error files + properties: + id: + type: string + custom_id: + type: string + description: A developer-provided per-request id that will be used to match outputs to inputs. + response: + type: object + nullable: true + properties: + status_code: + type: integer + description: The HTTP status code of the response + request_id: + type: string + description: An unique identifier for the OpenAI API request. Please include this request ID when contacting support. + body: + type: object + x-oaiTypeLabel: map + description: The JSON body of the response + error: + type: object + nullable: true + description: For requests that failed with a non-HTTP error, this will contain more information on the cause of the failure. + properties: + code: + type: string + description: A machine-readable error code. + message: + type: string + description: A human-readable error message. + x-oaiMeta: + name: The request output object + example: | + {"id": "batch_req_wnaDys", "custom_id": "request-2", "response": {"status_code": 200, "request_id": "req_c187b3", "body": {"id": "chatcmpl-9758Iw", "object": "chat.completion", "created": 1711475054, "model": "gpt-4o-mini", "choices": [{"index": 0, "message": {"role": "assistant", "content": "2 + 2 equals 4."}, "finish_reason": "stop"}], "usage": {"prompt_tokens": 24, "completion_tokens": 15, "total_tokens": 39}, "system_fingerprint": null}}, "error": null} + + ListBatchesResponse: + type: object + properties: + data: + type: array + items: + $ref: "#/components/schemas/Batch" + first_id: + type: string + example: "batch_abc123" + last_id: + type: string + example: "batch_abc456" + has_more: + type: boolean + object: + type: string + enum: [list] + required: + - object + - data + - has_more - stream = client.beta.threads.runs.create( - thread_id="thread_abc123", - assistant_id="asst_abc123", - tools=tools, - stream=True - ) + AuditLogActorServiceAccount: + type: object + description: The service account that performed the audit logged action. + properties: + id: + type: string + description: The service account id. - for event in stream: - print(event) - node.js: | - import OpenAI from "openai"; + AuditLogActorUser: + type: object + description: The user who performed the audit logged action. + properties: + id: + type: string + description: The user id. + email: + type: string + description: The user email. - const openai = new OpenAI(); + AuditLogActorApiKey: + type: object + description: The API Key used to perform the audit logged action. + properties: + id: + type: string + description: The tracking id of the API key. + type: + type: string + description: The type of API key. Can be either `user` or `service_account`. + enum: ["user", "service_account"] + user: + $ref: "#/components/schemas/AuditLogActorUser" + service_account: + $ref: "#/components/schemas/AuditLogActorServiceAccount" + + AuditLogActorSession: + type: object + description: The session in which the audit logged action was performed. + properties: + user: + $ref: "#/components/schemas/AuditLogActorUser" + ip_address: + type: string + description: The IP address from which the action was performed. - const tools = [ + AuditLogActor: + type: object + description: The actor who performed the audit logged action. + properties: + type: + type: string + description: The type of actor. Is either `session` or `api_key`. + enum: ["session", "api_key"] + session: + type: object + $ref: "#/components/schemas/AuditLogActorSession" + api_key: + type: object + $ref: "#/components/schemas/AuditLogActorApiKey" + + + AuditLogEventType: + type: string + description: The event type. + x-oaiExpandable: true + enum: + - api_key.created + - api_key.updated + - api_key.deleted + - invite.sent + - invite.accepted + - invite.deleted + - login.succeeded + - login.failed + - logout.succeeded + - logout.failed + - organization.updated + - project.created + - project.updated + - project.archived + - service_account.created + - service_account.updated + - service_account.deleted + - user.added + - user.updated + - user.deleted + + AuditLog: + type: object + description: A log of a user action or configuration change within this organization. + properties: + id: + type: string + description: The ID of this log. + type: + $ref: "#/components/schemas/AuditLogEventType" + + effective_at: + type: integer + description: The Unix timestamp (in seconds) of the event. + project: + type: object + description: The project that the action was scoped to. Absent for actions not scoped to projects. + properties: + id: + type: string + description: The project ID. + name: + type: string + description: The project title. + actor: + $ref: "#/components/schemas/AuditLogActor" + api_key.created: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The tracking ID of the API key. + data: + type: object + description: The payload used to create the API key. + properties: + scopes: + type: array + items: + type: string + description: A list of scopes allowed for the API key, e.g. `["api.model.request"]` + api_key.updated: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The tracking ID of the API key. + changes_requested: + type: object + description: The payload used to update the API key. + properties: + scopes: + type: array + items: + type: string + description: A list of scopes allowed for the API key, e.g. `["api.model.request"]` + api_key.deleted: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The tracking ID of the API key. + invite.sent: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The ID of the invite. + data: + type: object + description: The payload used to create the invite. + properties: + email: + type: string + description: The email invited to the organization. + role: + type: string + description: The role the email was invited to be. Is either `owner` or `member`. + invite.accepted: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The ID of the invite. + invite.deleted: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The ID of the invite. + login.failed: + type: object + description: The details for events with this `type`. + properties: + error_code: + type: string + description: The error code of the failure. + error_message: + type: string + description: The error message of the failure. + logout.failed: + type: object + description: The details for events with this `type`. + properties: + error_code: + type: string + description: The error code of the failure. + error_message: + type: string + description: The error message of the failure. + organization.updated: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The organization ID. + changes_requested: + type: object + description: The payload used to update the organization settings. + properties: + title: + type: string + description: The organization title. + description: + type: string + description: The organization description. + name: + type: string + description: The organization name. + settings: + type: object + properties: + threads_ui_visibility: + type: string + description: Visibility of the threads page which shows messages created with the Assistants API and Playground. One of `ANY_ROLE`, `OWNERS`, or `NONE`. + usage_dashboard_visibility: + type: string + description: Visibility of the usage dashboard which shows activity and costs for your organization. One of `ANY_ROLE` or `OWNERS`. + project.created: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The project ID. + data: + type: object + description: The payload used to create the project. + properties: + name: + type: string + description: The project name. + title: + type: string + description: The title of the project as seen on the dashboard. + project.updated: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The project ID. + changes_requested: + type: object + description: The payload used to update the project. + properties: + title: + type: string + description: The title of the project as seen on the dashboard. + project.archived: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The project ID. + service_account.created: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The service account ID. + data: + type: object + description: The payload used to create the service account. + properties: + role: + type: string + description: The role of the service account. Is either `owner` or `member`. + service_account.updated: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The service account ID. + changes_requested: + type: object + description: The payload used to updated the service account. + properties: + role: + type: string + description: The role of the service account. Is either `owner` or `member`. + service_account.deleted: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The service account ID. + user.added: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The user ID. + data: + type: object + description: The payload used to add the user to the project. + properties: + role: + type: string + description: The role of the user. Is either `owner` or `member`. + user.updated: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The project ID. + changes_requested: + type: object + description: The payload used to update the user. + properties: + role: + type: string + description: The role of the user. Is either `owner` or `member`. + user.deleted: + type: object + description: The details for events with this `type`. + properties: + id: + type: string + description: The user ID. + required: + - id + - type + - effective_at + - actor + x-oaiMeta: + name: The audit log object + example: | { - "type": "function", - "function": { - "name": "get_current_weather", - "description": "Get the current weather in a given location", - "parameters": { - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state, e.g. San Francisco, CA", - }, - "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, - }, - "required": ["location"], + "id": "req_xxx_20240101", + "type": "api_key.created", + "effective_at": 1720804090, + "actor": { + "type": "session", + "session": { + "user": { + "id": "user-xxx", + "email": "user@example.com" + }, + "ip_address": "127.0.0.1", + "user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36" + } }, - } - } - ]; - - async function main() { - const stream = await openai.beta.threads.runs.create( - "thread_abc123", - { - assistant_id: "asst_abc123", - tools: tools, - stream: true + "api_key.created": { + "id": "key_xxxx", + "data": { + "scopes": ["resource.operation"] + } + } } - ); - - for await (const event of stream) { - console.log(event); - } - } - - main(); - response: | - event: thread.run.created - data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto"}} - - event: thread.run.queued - data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto"}} - - event: thread.run.in_progress - data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710348075,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto"}} - - event: thread.run.step.created - data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null} - - event: thread.run.step.in_progress - data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null} - - event: thread.message.created - data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}} - event: thread.message.in_progress - data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}} - - event: thread.message.delta - data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}} - - ... - - event: thread.message.delta - data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" today"}}]}} - - event: thread.message.delta - data: {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}} - - event: thread.message.completed - data: {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710348077,"role":"assistant","content":[{"type":"text","text":{"value":"Hello! How can I assist you today?","annotations":[]}}],"metadata":{}} - - event: thread.run.step.completed - data: {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710348077,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}} - - event: thread.run.completed - data: {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1710348075,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1710348077,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31},"response_format":"auto","tool_choice":"auto"}} + ListAuditLogsResponse: + type: object + properties: + object: + type: string + enum: [list] + data: + type: array + items: + $ref: "#/components/schemas/AuditLog" + first_id: + type: string + example: "audit_log-defb456h8dks" + last_id: + type: string + example: "audit_log-hnbkd8s93s" + has_more: + type: boolean - event: done - data: [DONE] + required: + - object + - data + - first_id + - last_id + - has_more - /threads/{thread_id}/runs/{run_id}: - get: - operationId: getRun - tags: - - Assistants - summary: Retrieves a run. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: The ID of the [thread](/docs/api-reference/threads) that was run. - - in: path - name: run_id - required: true - schema: - type: string - description: The ID of the run to retrieve. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/RunObject" - x-oaiMeta: - name: Retrieve run - group: threads - beta: true - returns: The [run](/docs/api-reference/runs/object) object matching the specified ID. - examples: - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123 \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - run = client.beta.threads.runs.retrieve( - thread_id="thread_abc123", - run_id="run_abc123" - ) - - print(run) - node.js: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const run = await openai.beta.threads.runs.retrieve( - "thread_abc123", - "run_abc123" - ); - - console.log(run); - } - - main(); - response: | - { - "id": "run_abc123", - "object": "thread.run", - "created_at": 1699075072, - "assistant_id": "asst_abc123", - "thread_id": "thread_abc123", - "status": "completed", - "started_at": 1699075072, - "expires_at": null, - "cancelled_at": null, - "failed_at": null, - "completed_at": 1699075073, - "last_error": null, - "model": "gpt-4-turbo", - "instructions": null, - "incomplete_details": null, - "tools": [ - { - "type": "code_interpreter" - } - ], - "metadata": {}, - "usage": { - "prompt_tokens": 123, - "completion_tokens": 456, - "total_tokens": 579 - }, - "temperature": 1.0, - "top_p": 1.0, - "max_prompt_tokens": 1000, - "max_completion_tokens": 1000, - "truncation_strategy": { - "type": "auto", - "last_messages": null - }, - "response_format": "auto", - "tool_choice": "auto" - } - post: - operationId: modifyRun - tags: - - Assistants - summary: Modifies a run. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: The ID of the [thread](/docs/api-reference/threads) that was run. - - in: path - name: run_id - required: true - schema: - type: string - description: The ID of the run to modify. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/ModifyRunRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/RunObject" - x-oaiMeta: - name: Modify run - group: threads - beta: true - returns: The modified [run](/docs/api-reference/runs/object) object matching the specified ID. - examples: - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123 \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "metadata": { - "user_id": "user_abc123" - } - }' - python: | - from openai import OpenAI - client = OpenAI() - - run = client.beta.threads.runs.update( - thread_id="thread_abc123", - run_id="run_abc123", - metadata={"user_id": "user_abc123"}, - ) - - print(run) - node.js: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const run = await openai.beta.threads.runs.update( - "thread_abc123", - "run_abc123", + Invite: + type: object + description: Represents an individual `invite` to the organization. + properties: + object: + type: string + enum: [organization.invite] + description: The object type, which is always `organization.invite` + id: + type: string + description: The identifier, which can be referenced in API endpoints + email: + type: string + description: The email address of the individual to whom the invite was sent + role: + type: string + enum: [owner, reader] + description: "`owner` or `reader`" + status: + type: string + enum: [accepted, expired, pending] + description: "`accepted`,`expired`, or `pending`" + invited_at: + type: integer + description: The Unix timestamp (in seconds) of when the invite was sent. + expires_at: + type: integer + description: The Unix timestamp (in seconds) of when the invite expires. + accepted_at: + type: integer + description: The Unix timestamp (in seconds) of when the invite was accepted. + + required: + - object + - id + - email + - role + - status + - invited_at + - expires_at + x-oaiMeta: + name: The invite object + example: | { - metadata: { - user_id: "user_abc123", - }, + "object": "organization.invite", + "id": "invite-abc", + "email": "user@example.com", + "role": "owner", + "status": "accepted", + "invited_at": 1711471533, + "expires_at": 1711471533, + "accepted_at": 1711471533 } - ); - - console.log(run); - } - - main(); - response: | - { - "id": "run_abc123", - "object": "thread.run", - "created_at": 1699075072, - "assistant_id": "asst_abc123", - "thread_id": "thread_abc123", - "status": "completed", - "started_at": 1699075072, - "expires_at": null, - "cancelled_at": null, - "failed_at": null, - "completed_at": 1699075073, - "last_error": null, - "model": "gpt-4-turbo", - "instructions": null, - "incomplete_details": null, - "tools": [ - { - "type": "code_interpreter" - } - ], - "tool_resources": { - "code_interpreter": { - "file_ids": [ - "file-abc123", - "file-abc456" - ] - } - }, - "metadata": { - "user_id": "user_abc123" - }, - "usage": { - "prompt_tokens": 123, - "completion_tokens": 456, - "total_tokens": 579 - }, - "temperature": 1.0, - "top_p": 1.0, - "max_prompt_tokens": 1000, - "max_completion_tokens": 1000, - "truncation_strategy": { - "type": "auto", - "last_messages": null - }, - "response_format": "auto", - "tool_choice": "auto" - } - - /threads/{thread_id}/runs/{run_id}/submit_tool_outputs: - post: - operationId: submitToolOuputsToRun - tags: - - Assistants - summary: | - When a run has the `status: "requires_action"` and `required_action.type` is `submit_tool_outputs`, this endpoint can be used to submit the outputs from the tool calls once they're all completed. All outputs must be submitted in a single request. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: The ID of the [thread](/docs/api-reference/threads) to which this run belongs. - - in: path - name: run_id - required: true - schema: - type: string - description: The ID of the run that requires the tool output submission. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/SubmitToolOutputsRunRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/RunObject" - x-oaiMeta: - name: Submit tool outputs to run - group: threads - beta: true - returns: The modified [run](/docs/api-reference/runs/object) object matching the specified ID. - examples: - - title: Default - request: - curl: | - curl https://api.openai.com/v1/threads/thread_123/runs/run_123/submit_tool_outputs \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "tool_outputs": [ - { - "tool_call_id": "call_001", - "output": "70 degrees and sunny." - } - ] - }' - python: | - from openai import OpenAI - client = OpenAI() - - run = client.beta.threads.runs.submit_tool_outputs( - thread_id="thread_123", - run_id="run_123", - tool_outputs=[ - { - "tool_call_id": "call_001", - "output": "70 degrees and sunny." - } - ] - ) - print(run) - node.js: | - import OpenAI from "openai"; + InviteListResponse: + type: object + properties: + object: + type: string + enum: [list] + description: The object type, which is always `list` + data: + type: array + items: + $ref: '#/components/schemas/Invite' + first_id: + type: string + description: The first `invite_id` in the retrieved `list` + last_id: + type: string + description: The last `invite_id` in the retrieved `list` + has_more: + type: boolean + description: The `has_more` property is used for pagination to indicate there are additional results. + required: + - object + - data - const openai = new OpenAI(); + InviteRequest: + type: object + properties: + email: + type: string + description: "Send an email to this address" + role: + type: string + enum: [reader, owner] + description: "`owner` or `reader`" + required: + - email + - role - async function main() { - const run = await openai.beta.threads.runs.submitToolOutputs( - "thread_123", - "run_123", - { - tool_outputs: [ - { - tool_call_id: "call_001", - output: "70 degrees and sunny.", - }, - ], - } - ); - - console.log(run); - } - - main(); - response: | - { - "id": "run_123", - "object": "thread.run", - "created_at": 1699075592, - "assistant_id": "asst_123", - "thread_id": "thread_123", - "status": "queued", - "started_at": 1699075592, - "expires_at": 1699076192, - "cancelled_at": null, - "failed_at": null, - "completed_at": null, - "last_error": null, - "model": "gpt-4-turbo", - "instructions": null, - "tools": [ - { - "type": "function", - "function": { - "name": "get_current_weather", - "description": "Get the current weather in a given location", - "parameters": { - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state, e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": ["celsius", "fahrenheit"] - } - }, - "required": ["location"] - } - } - } - ], - "metadata": {}, - "usage": null, - "temperature": 1.0, - "top_p": 1.0, - "max_prompt_tokens": 1000, - "max_completion_tokens": 1000, - "truncation_strategy": { - "type": "auto", - "last_messages": null - }, - "response_format": "auto", - "tool_choice": "auto" - } - - - title: Streaming - request: - curl: | - curl https://api.openai.com/v1/threads/thread_123/runs/run_123/submit_tool_outputs \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "tool_outputs": [ - { - "tool_call_id": "call_001", - "output": "70 degrees and sunny." - } - ], - "stream": true - }' - python: | - from openai import OpenAI - client = OpenAI() - - stream = client.beta.threads.runs.submit_tool_outputs( - thread_id="thread_123", - run_id="run_123", - tool_outputs=[ + InviteDeleteResponse: + type: object + properties: + object: + type: string + enum: [organization.invite.deleted] + description: The object type, which is always `organization.invite.deleted` + id: + type: string + deleted: + type: boolean + required: + - object + - id + - deleted + + User: + type: object + description: Represents an individual `user` within an organization. + properties: + object: + type: string + enum: [organization.user] + description: The object type, which is always `organization.user` + id: + type: string + description: The identifier, which can be referenced in API endpoints + name: + type: string + description: The name of the user + email: + type: string + description: The email address of the user + role: + type: string + enum: [owner, reader] + description: "`owner` or `reader`" + added_at: + type: integer + description: The Unix timestamp (in seconds) of when the user was added. + required: + - object + - id + - name + - email + - role + - added_at + x-oaiMeta: + name: The user object + example: | { - "tool_call_id": "call_001", - "output": "70 degrees and sunny." + "object": "organization.user", + "id": "user_abc", + "name": "First Last", + "email": "user@example.com", + "role": "owner", + "added_at": 1711471533 } - ], - stream=True - ) - for event in stream: - print(event) - node.js: | - import OpenAI from "openai"; + UserListResponse: + type: object + properties: + object: + type: string + enum: [list] + data: + type: array + items: + $ref: '#/components/schemas/User' + first_id: + type: string + last_id: + type: string + has_more: + type: boolean + required: + - object + - data + - first_id + - last_id + - has_more + + UserRoleUpdateRequest: + type: object + properties: + role: + type: string + enum: [owner,reader] + description: "`owner` or `reader`" + required: + - role - const openai = new OpenAI(); + UserDeleteResponse: + type: object + properties: + object: + type: string + enum: [organization.user.deleted] + id: + type: string + deleted: + type: boolean + required: + - object + - id + - deleted - async function main() { - const stream = await openai.beta.threads.runs.submitToolOutputs( - "thread_123", - "run_123", + Project: + type: object + description: Represents an individual project. + properties: + id: + type: string + description: The identifier, which can be referenced in API endpoints + object: + type: string + enum: [organization.project] + description: The object type, which is always `organization.project` + name: + type: string + description: The name of the project. This appears in reporting. + created_at: + type: integer + description: The Unix timestamp (in seconds) of when the project was created. + archived_at: + type: integer + nullable: true + description: The Unix timestamp (in seconds) of when the project was archived or `null`. + status: + type: string + enum: [active, archived] + description: "`active` or `archived`" + required: + - id + - object + - name + - created_at + - status + x-oaiMeta: + name: The project object + example: | { - tool_outputs: [ - { - tool_call_id: "call_001", - output: "70 degrees and sunny.", - }, - ], + "id": "proj_abc", + "object": "organization.project", + "name": "Project example", + "created_at": 1711471533, + "archived_at": null, + "status": "active" } - ); - - for await (const event of stream) { - console.log(event); - } - } - - main(); - response: | - event: thread.run.step.completed - data: {"id":"step_001","object":"thread.run.step","created_at":1710352449,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"tool_calls","status":"completed","cancelled_at":null,"completed_at":1710352475,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"tool_calls","tool_calls":[{"id":"call_iWr0kQ2EaYMaxNdl0v3KYkx7","type":"function","function":{"name":"get_current_weather","arguments":"{\"location\":\"San Francisco, CA\",\"unit\":\"fahrenheit\"}","output":"70 degrees and sunny."}}]},"usage":{"prompt_tokens":291,"completion_tokens":24,"total_tokens":315}} - - event: thread.run.queued - data: {"id":"run_123","object":"thread.run","created_at":1710352447,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":1710352448,"expires_at":1710353047,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto"}} - - event: thread.run.in_progress - data: {"id":"run_123","object":"thread.run","created_at":1710352447,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710352475,"expires_at":1710353047,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto"}} - - event: thread.run.step.created - data: {"id":"step_002","object":"thread.run.step","created_at":1710352476,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_002"}},"usage":null} - - event: thread.run.step.in_progress - data: {"id":"step_002","object":"thread.run.step","created_at":1710352476,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_002"}},"usage":null} - - event: thread.message.created - data: {"id":"msg_002","object":"thread.message","created_at":1710352476,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}} - - event: thread.message.in_progress - data: {"id":"msg_002","object":"thread.message","created_at":1710352476,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}} - - event: thread.message.delta - data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"The","annotations":[]}}]}} - - event: thread.message.delta - data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" current"}}]}} - - event: thread.message.delta - data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" weather"}}]}} - - ... - - event: thread.message.delta - data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":" sunny"}}]}} - - event: thread.message.delta - data: {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"."}}]}} + + ProjectListResponse: + type: object + properties: + object: + type: string + enum: [list] + data: + type: array + items: + $ref: '#/components/schemas/Project' + first_id: + type: string + last_id: + type: string + has_more: + type: boolean + required: + - object + - data + - first_id + - last_id + - has_more - event: thread.message.completed - data: {"id":"msg_002","object":"thread.message","created_at":1710352476,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710352477,"role":"assistant","content":[{"type":"text","text":{"value":"The current weather in San Francisco, CA is 70 degrees Fahrenheit and sunny.","annotations":[]}}],"metadata":{}} + ProjectCreateRequest: + type: object + properties: + name: + type: string + description: The friendly name of the project, this name appears in reports. + required: + - name - event: thread.run.step.completed - data: {"id":"step_002","object":"thread.run.step","created_at":1710352476,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710352477,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_002"}},"usage":{"prompt_tokens":329,"completion_tokens":18,"total_tokens":347}} + ProjectUpdateRequest: + type: object + properties: + name: + type: string + description: The updated name of the project, this name appears in reports. + required: + - name - event: thread.run.completed - data: {"id":"run_123","object":"thread.run","created_at":1710352447,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1710352475,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1710352477,"required_action":null,"last_error":null,"model":"gpt-4-turbo","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get the current weather in a given location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The city and state, e.g. San Francisco, CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31},"response_format":"auto","tool_choice":"auto"}} + DefaultProjectErrorResponse: + type: object + properties: + code: + type: integer + message: + type: string + required: + - code + - message - event: done - data: [DONE] + ProjectUser: + type: object + description: Represents an individual user in a project. + properties: + object: + type: string + enum: [organization.project.user] + description: The object type, which is always `organization.project.user` + id: + type: string + description: The identifier, which can be referenced in API endpoints + name: + type: string + description: The name of the user + email: + type: string + description: The email address of the user + role: + type: string + enum: [owner, member] + description: "`owner` or `member`" + added_at: + type: integer + description: The Unix timestamp (in seconds) of when the project was added. - /threads/{thread_id}/runs/{run_id}/cancel: - post: - operationId: cancelRun - tags: - - Assistants - summary: Cancels a run that is `in_progress`. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: The ID of the thread to which this run belongs. - - in: path - name: run_id - required: true - schema: - type: string - description: The ID of the run to cancel. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/RunObject" - x-oaiMeta: - name: Cancel a run - group: threads - beta: true - returns: The modified [run](/docs/api-reference/runs/object) object matching the specified ID. - examples: - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/cancel \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "OpenAI-Beta: assistants=v2" \ - -X POST - python: | - from openai import OpenAI - client = OpenAI() - - run = client.beta.threads.runs.cancel( - thread_id="thread_abc123", - run_id="run_abc123" - ) - - print(run) - node.js: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const run = await openai.beta.threads.runs.cancel( - "thread_abc123", - "run_abc123" - ); - - console.log(run); - } - - main(); - response: | - { - "id": "run_abc123", - "object": "thread.run", - "created_at": 1699076126, - "assistant_id": "asst_abc123", - "thread_id": "thread_abc123", - "status": "cancelling", - "started_at": 1699076126, - "expires_at": 1699076726, - "cancelled_at": null, - "failed_at": null, - "completed_at": null, - "last_error": null, - "model": "gpt-4-turbo", - "instructions": "You summarize books.", - "tools": [ - { - "type": "file_search" - } - ], - "tool_resources": { - "file_search": { - "vector_store_ids": ["vs_123"] - } - }, - "metadata": {}, - "usage": null, - "temperature": 1.0, - "top_p": 1.0, - "response_format": "auto" - } - - /threads/{thread_id}/runs/{run_id}/steps: - get: - operationId: listRunSteps - tags: - - Assistants - summary: Returns a list of run steps belonging to a run. - parameters: - - name: thread_id - in: path - required: true - schema: - type: string - description: The ID of the thread the run and run steps belong to. - - name: run_id - in: path - required: true - schema: - type: string - description: The ID of the run the run steps belong to. - - name: limit - in: query - description: *pagination_limit_param_description - required: false - schema: - type: integer - default: 20 - - name: order - in: query - description: *pagination_order_param_description - schema: - type: string - default: desc - enum: ["asc", "desc"] - - name: after - in: query - description: *pagination_after_param_description - schema: - type: string - - name: before - in: query - description: *pagination_before_param_description - schema: - type: string - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ListRunStepsResponse" - x-oaiMeta: - name: List run steps - group: threads - beta: true - returns: A list of [run step](/docs/api-reference/runs/step-object) objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/steps \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - run_steps = client.beta.threads.runs.steps.list( - thread_id="thread_abc123", - run_id="run_abc123" - ) - - print(run_steps) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const runStep = await openai.beta.threads.runs.steps.list( - "thread_abc123", - "run_abc123" - ); - console.log(runStep); - } - - main(); - response: | - { - "object": "list", - "data": [ - { - "id": "step_abc123", - "object": "thread.run.step", - "created_at": 1699063291, - "run_id": "run_abc123", - "assistant_id": "asst_abc123", - "thread_id": "thread_abc123", - "type": "message_creation", - "status": "completed", - "cancelled_at": null, - "completed_at": 1699063291, - "expired_at": null, - "failed_at": null, - "last_error": null, - "step_details": { - "type": "message_creation", - "message_creation": { - "message_id": "msg_abc123" + required: + - object + - id + - name + - email + - role + - added_at + x-oaiMeta: + name: The project user object + example: | + { + "object": "organization.project.user", + "id": "user_abc", + "name": "First Last", + "email": "user@example.com", + "role": "owner", + "added_at": 1711471533 } - }, - "usage": { - "prompt_tokens": 123, - "completion_tokens": 456, - "total_tokens": 579 - } - } - ], - "first_id": "step_abc123", - "last_id": "step_abc456", - "has_more": false - } - - /threads/{thread_id}/runs/{run_id}/steps/{step_id}: - get: - operationId: getRunStep - tags: - - Assistants - summary: Retrieves a run step. - parameters: - - in: path - name: thread_id - required: true - schema: - type: string - description: The ID of the thread to which the run and run step belongs. - - in: path - name: run_id - required: true - schema: - type: string - description: The ID of the run to which the run step belongs. - - in: path - name: step_id - required: true - schema: - type: string - description: The ID of the run step to retrieve. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/RunStepObject" - x-oaiMeta: - name: Retrieve run step - group: threads - beta: true - returns: The [run step](/docs/api-reference/runs/step-object) object matching the specified ID. - examples: - request: - curl: | - curl https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/steps/step_abc123 \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - run_step = client.beta.threads.runs.steps.retrieve( - thread_id="thread_abc123", - run_id="run_abc123", - step_id="step_abc123" - ) - - print(run_step) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const runStep = await openai.beta.threads.runs.steps.retrieve( - "thread_abc123", - "run_abc123", - "step_abc123" - ); - console.log(runStep); - } - - main(); - response: &run_step_object_example | - { - "id": "step_abc123", - "object": "thread.run.step", - "created_at": 1699063291, - "run_id": "run_abc123", - "assistant_id": "asst_abc123", - "thread_id": "thread_abc123", - "type": "message_creation", - "status": "completed", - "cancelled_at": null, - "completed_at": 1699063291, - "expired_at": null, - "failed_at": null, - "last_error": null, - "step_details": { - "type": "message_creation", - "message_creation": { - "message_id": "msg_abc123" - } - }, - "usage": { - "prompt_tokens": 123, - "completion_tokens": 456, - "total_tokens": 579 - } - } - - /vector_stores: - get: - operationId: listVectorStores - tags: - - Vector Stores - summary: Returns a list of vector stores. - parameters: - - name: limit - in: query - description: *pagination_limit_param_description - required: false - schema: - type: integer - default: 20 - - name: order - in: query - description: *pagination_order_param_description - schema: - type: string - default: desc - enum: ["asc", "desc"] - - name: after - in: query - description: *pagination_after_param_description - schema: - type: string - - name: before - in: query - description: *pagination_before_param_description - schema: - type: string - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ListVectorStoresResponse" - x-oaiMeta: - name: List vector stores - group: vector_stores - beta: true - returns: A list of [vector store](/docs/api-reference/vector-stores/object) objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/vector_stores \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - vector_stores = client.beta.vector_stores.list() - print(vector_stores) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const vectorStores = await openai.beta.vectorStores.list(); - console.log(vectorStores); - } - - main(); - response: | - { - "object": "list", - "data": [ - { - "id": "vs_abc123", - "object": "vector_store", - "created_at": 1699061776, - "name": "Support FAQ", - "bytes": 139920, - "file_counts": { - "in_progress": 0, - "completed": 3, - "failed": 0, - "cancelled": 0, - "total": 3 - } - }, - { - "id": "vs_abc456", - "object": "vector_store", - "created_at": 1699061776, - "name": "Support FAQ v2", - "bytes": 139920, - "file_counts": { - "in_progress": 0, - "completed": 3, - "failed": 0, - "cancelled": 0, - "total": 3 - } - } - ], - "first_id": "vs_abc123", - "last_id": "vs_abc456", - "has_more": false - } - post: - operationId: createVectorStore - tags: - - Vector Stores - summary: Create a vector store. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/CreateVectorStoreRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/VectorStoreObject" - x-oaiMeta: - name: Create vector store - group: vector_stores - beta: true - returns: A [vector store](/docs/api-reference/vector-stores/object) object. - examples: - request: - curl: | - curl https://api.openai.com/v1/vector_stores \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" - -d '{ - "name": "Support FAQ" - }' - python: | - from openai import OpenAI - client = OpenAI() - - vector_store = client.beta.vector_stores.create( - name="Support FAQ" - ) - print(vector_store) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const vectorStore = await openai.beta.vectorStores.create({ - name: "Support FAQ" - }); - console.log(vectorStore); - } - - main(); - response: | - { - "id": "vs_abc123", - "object": "vector_store", - "created_at": 1699061776, - "name": "Support FAQ", - "bytes": 139920, - "file_counts": { - "in_progress": 0, - "completed": 3, - "failed": 0, - "cancelled": 0, - "total": 3 - } - } - - /vector_stores/{vector_store_id}: - get: - operationId: getVectorStore - tags: - - Vector Stores - summary: Retrieves a vector store. - parameters: - - in: path - name: vector_store_id - required: true - schema: - type: string - description: The ID of the vector store to retrieve. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/VectorStoreObject" - x-oaiMeta: - name: Retrieve vector store - group: vector_stores - beta: true - returns: The [vector store](/docs/api-reference/vector-stores/object) object matching the specified ID. - examples: - request: - curl: | - curl https://api.openai.com/v1/vector_stores/vs_abc123 \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - vector_store = client.beta.vector_stores.retrieve( - vector_store_id="vs_abc123" - ) - print(vector_store) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const vectorStore = await openai.beta.vectorStores.retrieve( - "vs_abc123" - ); - console.log(vectorStore); - } - - main(); - response: | - { - "id": "vs_abc123", - "object": "vector_store", - "created_at": 1699061776 - } - post: - operationId: modifyVectorStore - tags: - - Vector Stores - summary: Modifies a vector store. - parameters: - - in: path - name: vector_store_id - required: true - schema: - type: string - description: The ID of the vector store to modify. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/UpdateVectorStoreRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/VectorStoreObject" - x-oaiMeta: - name: Modify vector store - group: vector_stores - beta: true - returns: The modified [vector store](/docs/api-reference/vector-stores/object) object. - examples: - request: - curl: | - curl https://api.openai.com/v1/vector_stores/vs_abc123 \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" - -d '{ - "name": "Support FAQ" - }' - python: | - from openai import OpenAI - client = OpenAI() - - vector_store = client.beta.vector_stores.update( - vector_store_id="vs_abc123", - name="Support FAQ" - ) - print(vector_store) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const vectorStore = await openai.beta.vectorStores.update( - "vs_abc123", - { - name: "Support FAQ" - } - ); - console.log(vectorStore); - } - - main(); - response: | - { - "id": "vs_abc123", - "object": "vector_store", - "created_at": 1699061776, - "name": "Support FAQ", - "bytes": 139920, - "file_counts": { - "in_progress": 0, - "completed": 3, - "failed": 0, - "cancelled": 0, - "total": 3 - } - } - - delete: - operationId: deleteVectorStore - tags: - - Vector Stores - summary: Delete a vector store. - parameters: - - in: path - name: vector_store_id - required: true - schema: - type: string - description: The ID of the vector store to delete. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/DeleteVectorStoreResponse" - x-oaiMeta: - name: Delete vector store - group: vector_stores - beta: true - returns: Deletion status - examples: - request: - curl: | - curl https://api.openai.com/v1/vector_stores/vs_abc123 \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" \ - -X DELETE - python: | - from openai import OpenAI - client = OpenAI() - - deleted_vector_store = client.beta.vector_stores.delete( - vector_store_id="vs_abc123" - ) - print(deleted_vector_store) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const deletedVectorStore = await openai.beta.vectorStores.del( - "vs_abc123" - ); - console.log(deletedVectorStore); - } - - main(); - response: | - { - id: "vs_abc123", - object: "vector_store.deleted", - deleted: true - } - - /vector_stores/{vector_store_id}/files: - get: - operationId: listVectorStoreFiles - tags: - - Vector Stores - summary: Returns a list of vector store files. - parameters: - - name: vector_store_id - in: path - description: The ID of the vector store that the files belong to. - required: true - schema: - type: string - - name: limit - in: query - description: *pagination_limit_param_description - required: false - schema: - type: integer - default: 20 - - name: order - in: query - description: *pagination_order_param_description - schema: - type: string - default: desc - enum: ["asc", "desc"] - - name: after - in: query - description: *pagination_after_param_description - schema: - type: string - - name: before - in: query - description: *pagination_before_param_description - schema: - type: string - - name: filter - in: query - description: "Filter by file status. One of `in_progress`, `completed`, `failed`, `cancelled`." - schema: - type: string - enum: ["in_progress", "completed", "failed", "cancelled"] - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ListVectorStoreFilesResponse" - x-oaiMeta: - name: List vector store files - group: vector_stores - beta: true - returns: A list of [vector store file](/docs/api-reference/vector-stores-files/file-object) objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/vector_stores/vs_abc123/files \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - vector_store_files = client.beta.vector_stores.files.list( - vector_store_id="vs_abc123" - ) - print(vector_store_files) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const vectorStoreFiles = await openai.beta.vectorStores.files.list( - "vs_abc123" - ); - console.log(vectorStoreFiles); - } - - main(); - response: | - { - "object": "list", - "data": [ - { - "id": "file-abc123", - "object": "vector_store.file", - "created_at": 1699061776, - "vector_store_id": "vs_abc123" - }, - { - "id": "file-abc456", - "object": "vector_store.file", - "created_at": 1699061776, - "vector_store_id": "vs_abc123" - } - ], - "first_id": "file-abc123", - "last_id": "file-abc456", - "has_more": false - } - post: - operationId: createVectorStoreFile - tags: - - Vector Stores - summary: Create a vector store file by attaching a [File](/docs/api-reference/files) to a [vector store](/docs/api-reference/vector-stores/object). - parameters: - - in: path - name: vector_store_id - required: true - schema: - type: string - example: vs_abc123 - description: | - The ID of the vector store for which to create a File. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/CreateVectorStoreFileRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/VectorStoreFileObject" - x-oaiMeta: - name: Create vector store file - group: vector_stores - beta: true - returns: A [vector store file](/docs/api-reference/vector-stores-files/file-object) object. - examples: - request: - curl: | - curl https://api.openai.com/v1/vector_stores/vs_abc123/files \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "file_id": "file-abc123" - }' - python: | - from openai import OpenAI - client = OpenAI() - - vector_store_file = client.beta.vector_stores.files.create( - vector_store_id="vs_abc123", - file_id="file-abc123" - ) - print(vector_store_file) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const myVectorStoreFile = await openai.beta.vectorStores.files.create( - "vs_abc123", - { - file_id: "file-abc123" - } - ); - console.log(myVectorStoreFile); - } - - main(); - response: | - { - "id": "file-abc123", - "object": "vector_store.file", - "created_at": 1699061776, - "usage_bytes": 1234, - "vector_store_id": "vs_abcd", - "status": "completed", - "last_error": null - } - - /vector_stores/{vector_store_id}/files/{file_id}: - get: - operationId: getVectorStoreFile - tags: - - Vector Stores - summary: Retrieves a vector store file. - parameters: - - in: path - name: vector_store_id - required: true - schema: - type: string - example: vs_abc123 - description: The ID of the vector store that the file belongs to. - - in: path - name: file_id - required: true - schema: - type: string - example: file-abc123 - description: The ID of the file being retrieved. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/VectorStoreFileObject" - x-oaiMeta: - name: Retrieve vector store file - group: vector_stores - beta: true - returns: The [vector store file](/docs/api-reference/vector-stores-files/file-object) object. - examples: - request: - curl: | - curl https://api.openai.com/v1/vector_stores/vs_abc123/files/file-abc123 \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - vector_store_file = client.beta.vector_stores.files.retrieve( - vector_store_id="vs_abc123", - file_id="file-abc123" - ) - print(vector_store_file) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const vectorStoreFile = await openai.beta.vectorStores.files.retrieve( - "vs_abc123", - "file-abc123" - ); - console.log(vectorStoreFile); - } - - main(); - response: | - { - "id": "file-abc123", - "object": "vector_store.file", - "created_at": 1699061776, - "vector_store_id": "vs_abcd", - "status": "completed", - "last_error": null - } - delete: - operationId: deleteVectorStoreFile - tags: - - Vector Stores - summary: Delete a vector store file. This will remove the file from the vector store but the file itself will not be deleted. To delete the file, use the [delete file](/docs/api-reference/files/delete) endpoint. - parameters: - - in: path - name: vector_store_id - required: true - schema: - type: string - description: The ID of the vector store that the file belongs to. - - in: path - name: file_id - required: true - schema: - type: string - description: The ID of the file to delete. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/DeleteVectorStoreFileResponse" - x-oaiMeta: - name: Delete vector store file - group: vector_stores - beta: true - returns: Deletion status - examples: - request: - curl: | - curl https://api.openai.com/v1/vector_stores/vs_abc123/files/file-abc123 \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" \ - -X DELETE - python: | - from openai import OpenAI - client = OpenAI() - - deleted_vector_store_file = client.beta.vector_stores.files.delete( - vector_store_id="vs_abc123", - file_id="file-abc123" - ) - print(deleted_vector_store_file) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const deletedVectorStoreFile = await openai.beta.vectorStores.files.del( - "vs_abc123", - "file-abc123" - ); - console.log(deletedVectorStoreFile); - } - - main(); - response: | - { - id: "file-abc123", - object: "vector_store.file.deleted", - deleted: true - } - - /vector_stores/{vector_store_id}/file_batches: - post: - operationId: createVectorStoreFileBatch - tags: - - Vector Stores - summary: Create a vector store file batch. - parameters: - - in: path - name: vector_store_id - required: true - schema: - type: string - example: vs_abc123 - description: | - The ID of the vector store for which to create a File Batch. - requestBody: - required: true - content: - application/json: - schema: - $ref: "#/components/schemas/CreateVectorStoreFileBatchRequest" - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/VectorStoreFileBatchObject" - x-oaiMeta: - name: Create vector store file batch - group: vector_stores - beta: true - returns: A [vector store file batch](/docs/api-reference/vector-stores-file-batches/batch-object) object. - examples: - request: - curl: | - curl https://api.openai.com/v1/vector_stores/vs_abc123/file_batches \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json \ - -H "OpenAI-Beta: assistants=v2" \ - -d '{ - "file_ids": ["file-abc123", "file-abc456"] - }' - python: | - from openai import OpenAI - client = OpenAI() - - vector_store_file_batch = client.beta.vector_stores.file_batches.create( - vector_store_id="vs_abc123", - file_ids=["file-abc123", "file-abc456"] - ) - print(vector_store_file_batch) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const myVectorStoreFileBatch = await openai.beta.vectorStores.fileBatches.create( - "vs_abc123", - { - file_ids: ["file-abc123", "file-abc456"] - } - ); - console.log(myVectorStoreFileBatch); - } - - main(); - response: | - { - "id": "vsfb_abc123", - "object": "vector_store.file_batch", - "created_at": 1699061776, - "vector_store_id": "vs_abc123", - "status": "in_progress", - "file_counts": { - "in_progress": 1, - "completed": 1, - "failed": 0, - "cancelled": 0, - "total": 0, - } - } - - /vector_stores/{vector_store_id}/file_batches/{batch_id}: - get: - operationId: getVectorStoreFileBatch - tags: - - Vector Stores - summary: Retrieves a vector store file batch. - parameters: - - in: path - name: vector_store_id - required: true - schema: - type: string - example: vs_abc123 - description: The ID of the vector store that the file batch belongs to. - - in: path - name: batch_id - required: true - schema: - type: string - example: vsfb_abc123 - description: The ID of the file batch being retrieved. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/VectorStoreFileBatchObject" - x-oaiMeta: - name: Retrieve vector store file batch - group: vector_stores - beta: true - returns: The [vector store file batch](/docs/api-reference/vector-stores-file-batches/batch-object) object. - examples: - request: - curl: | - curl https://api.openai.com/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123 \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - vector_store_file_batch = client.beta.vector_stores.file_batches.retrieve( - vector_store_id="vs_abc123", - batch_id="vsfb_abc123" - ) - print(vector_store_file_batch) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const vectorStoreFileBatch = await openai.beta.vectorStores.fileBatches.retrieve( - "vs_abc123", - "vsfb_abc123" - ); - console.log(vectorStoreFileBatch); - } - - main(); - response: | - { - "id": "vsfb_abc123", - "object": "vector_store.file_batch", - "created_at": 1699061776, - "vector_store_id": "vs_abc123", - "status": "in_progress", - "file_counts": { - "in_progress": 1, - "completed": 1, - "failed": 0, - "cancelled": 0, - "total": 0, - } - } - - /vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel: - post: - operationId: cancelVectorStoreFileBatch - tags: - - Vector Stores - summary: Cancel a vector store file batch. This attempts to cancel the processing of files in this batch as soon as possible. - parameters: - - in: path - name: vector_store_id - required: true - schema: - type: string - description: The ID of the vector store that the file batch belongs to. - - in: path - name: batch_id - required: true - schema: - type: string - description: The ID of the file batch to cancel. - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/VectorStoreFileBatchObject" - x-oaiMeta: - name: Cancel vector store file batch - group: vector_stores - beta: true - returns: The modified vector store file batch object. - examples: - request: - curl: | - curl https://api.openai.com/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123/cancel \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" \ - -X POST - python: | - from openai import OpenAI - client = OpenAI() - - deleted_vector_store_file_batch = client.beta.vector_stores.file_batches.cancel( - vector_store_id="vs_abc123", - file_batch_id="vsfb_abc123" - ) - print(deleted_vector_store_file_batch) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const deletedVectorStoreFileBatch = await openai.vector_stores.fileBatches.cancel( - "vs_abc123", - "vsfb_abc123" - ); - console.log(deletedVectorStoreFileBatch); - } - - main(); - response: | - { - "id": "vsfb_abc123", - "object": "vector_store.file_batch", - "created_at": 1699061776, - "vector_store_id": "vs_abc123", - "status": "cancelling", - "file_counts": { - "in_progress": 12, - "completed": 3, - "failed": 0, - "cancelled": 0, - "total": 15, - } - } - - /vector_stores/{vector_store_id}/file_batches/{batch_id}/files: - get: - operationId: listFilesInVectorStoreBatch - tags: - - Vector Stores - summary: Returns a list of vector store files in a batch. - parameters: - - name: vector_store_id - in: path - description: The ID of the vector store that the files belong to. - required: true - schema: - type: string - - name: batch_id - in: path - description: The ID of the file batch that the files belong to. - required: true - schema: - type: string - - name: limit - in: query - description: *pagination_limit_param_description - required: false - schema: - type: integer - default: 20 - - name: order - in: query - description: *pagination_order_param_description - schema: - type: string - default: desc - enum: ["asc", "desc"] - - name: after - in: query - description: *pagination_after_param_description - schema: - type: string - - name: before - in: query - description: *pagination_before_param_description - schema: - type: string - - name: filter - in: query - description: "Filter by file status. One of `in_progress`, `completed`, `failed`, `cancelled`." - schema: - type: string - enum: ["in_progress", "completed", "failed", "cancelled"] - responses: - "200": - description: OK - content: - application/json: - schema: - $ref: "#/components/schemas/ListVectorStoreFilesResponse" - x-oaiMeta: - name: List vector store files in a batch - group: vector_stores - beta: true - returns: A list of [vector store file](/docs/api-reference/vector-stores-files/file-object) objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123/files \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -H "OpenAI-Beta: assistants=v2" - python: | - from openai import OpenAI - client = OpenAI() - - vector_store_files = client.beta.vector_stores.file_batches.list_files( - vector_store_id="vs_abc123", - batch_id="vsfb_abc123" - ) - print(vector_store_files) - node.js: | - import OpenAI from "openai"; - const openai = new OpenAI(); - - async function main() { - const vectorStoreFiles = await openai.beta.vectorStores.fileBatches.listFiles( - "vs_abc123", - "vsfb_abc123" - ); - console.log(vectorStoreFiles); - } - - main(); - response: | - { - "object": "list", - "data": [ - { - "id": "file-abc123", - "object": "vector_store.file", - "created_at": 1699061776, - "vector_store_id": "vs_abc123" - }, - { - "id": "file-abc456", - "object": "vector_store.file", - "created_at": 1699061776, - "vector_store_id": "vs_abc123" - } - ], - "first_id": "file-abc123", - "last_id": "file-abc456", - "has_more": false - } - - /batches: - post: - summary: Creates and executes a batch from an uploaded file of requests - operationId: createBatch - tags: - - Batch - requestBody: - required: true - content: - application/json: - schema: - type: object - required: - - input_file_id - - endpoint - - completion_window - properties: - input_file_id: - type: string - description: | - The ID of an uploaded file that contains requests for the new batch. - See [upload file](/docs/api-reference/files/create) for how to upload a file. + ProjectUserListResponse: + type: object + properties: + object: + type: string + data: + type: array + items: + $ref: '#/components/schemas/ProjectUser' + first_id: + type: string + last_id: + type: string + has_more: + type: boolean + required: + - object + - data + - first_id + - last_id + - has_more + + ProjectUserCreateRequest: + type: object + properties: + user_id: + type: string + description: The ID of the user. + role: + type: string + enum: [owner, member] + description: "`owner` or `member`" + required: + - user_id + - role - Your input file must be formatted as a [JSONL file](/docs/api-reference/batch/requestInput), and must be uploaded with the purpose `batch`. The file can contain up to 50,000 requests, and can be up to 100 MB in size. - endpoint: - type: string - enum: ["/v1/chat/completions", "/v1/embeddings", "/v1/completions"] - description: The endpoint to be used for all requests in the batch. Currently `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions` are supported. Note that `/v1/embeddings` batches are also restricted to a maximum of 50,000 embedding inputs across all requests in the batch. - completion_window: - type: string - enum: ["24h"] - description: The time frame within which the batch should be processed. Currently only `24h` is supported. - metadata: - type: object - additionalProperties: + ProjectUserUpdateRequest: + type: object + properties: + role: type: string - description: Optional custom metadata for the batch. - nullable: true - responses: - "200": - description: Batch created successfully. - content: - application/json: - schema: - $ref: "#/components/schemas/Batch" - x-oaiMeta: - name: Create batch - group: batch - returns: The created [Batch](/docs/api-reference/batch/object) object. - examples: - request: - curl: | - curl https://api.openai.com/v1/batches \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -d '{ - "input_file_id": "file-abc123", - "endpoint": "/v1/chat/completions", - "completion_window": "24h" - }' - python: | - from openai import OpenAI - client = OpenAI() - - client.batches.create( - input_file_id="file-abc123", - endpoint="/v1/chat/completions", - completion_window="24h" - ) - node: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const batch = await openai.batches.create({ - input_file_id: "file-abc123", - endpoint: "/v1/chat/completions", - completion_window: "24h" - }); - - console.log(batch); - } - - main(); - response: | - { - "id": "batch_abc123", - "object": "batch", - "endpoint": "/v1/chat/completions", - "errors": null, - "input_file_id": "file-abc123", - "completion_window": "24h", - "status": "validating", - "output_file_id": null, - "error_file_id": null, - "created_at": 1711471533, - "in_progress_at": null, - "expires_at": null, - "finalizing_at": null, - "completed_at": null, - "failed_at": null, - "expired_at": null, - "cancelling_at": null, - "cancelled_at": null, - "request_counts": { - "total": 0, - "completed": 0, - "failed": 0 - }, - "metadata": { - "customer_id": "user_123456789", - "batch_description": "Nightly eval job", - } - } - get: - operationId: listBatches - tags: - - Batch - summary: List your organization's batches. - parameters: - - in: query - name: after - required: false - schema: - type: string - description: *pagination_after_param_description - - name: limit - in: query - description: *pagination_limit_param_description - required: false - schema: - type: integer - default: 20 - responses: - "200": - description: Batch listed successfully. - content: - application/json: - schema: - $ref: "#/components/schemas/ListBatchesResponse" - x-oaiMeta: - name: List batch - group: batch - returns: A list of paginated [Batch](/docs/api-reference/batch/object) objects. - examples: - request: - curl: | - curl https://api.openai.com/v1/batches?limit=2 \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" - python: | - from openai import OpenAI - client = OpenAI() - - client.batches.list() - node: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const list = await openai.batches.list(); - - for await (const batch of list) { - console.log(batch); - } - } - - main(); - response: | - { - "object": "list", - "data": [ - { - "id": "batch_abc123", - "object": "batch", - "endpoint": "/v1/chat/completions", - "errors": null, - "input_file_id": "file-abc123", - "completion_window": "24h", - "status": "completed", - "output_file_id": "file-cvaTdG", - "error_file_id": "file-HOWS94", - "created_at": 1711471533, - "in_progress_at": 1711471538, - "expires_at": 1711557933, - "finalizing_at": 1711493133, - "completed_at": 1711493163, - "failed_at": null, - "expired_at": null, - "cancelling_at": null, - "cancelled_at": null, - "request_counts": { - "total": 100, - "completed": 95, - "failed": 5 - }, - "metadata": { - "customer_id": "user_123456789", - "batch_description": "Nightly job", - } - }, - { ... }, - ], - "first_id": "batch_abc123", - "last_id": "batch_abc456", - "has_more": true - } - - /batches/{batch_id}: - get: - operationId: retrieveBatch - tags: - - Batch - summary: Retrieves a batch. - parameters: - - in: path - name: batch_id - required: true - schema: - type: string - description: The ID of the batch to retrieve. - responses: - "200": - description: Batch retrieved successfully. - content: - application/json: - schema: - $ref: "#/components/schemas/Batch" - x-oaiMeta: - name: Retrieve batch - group: batch - returns: The [Batch](/docs/api-reference/batch/object) object matching the specified ID. - examples: - request: - curl: | - curl https://api.openai.com/v1/batches/batch_abc123 \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - python: | - from openai import OpenAI - client = OpenAI() - - client.batches.retrieve("batch_abc123") - node: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const batch = await openai.batches.retrieve("batch_abc123"); - - console.log(batch); - } - - main(); - response: &batch_object | - { - "id": "batch_abc123", - "object": "batch", - "endpoint": "/v1/completions", - "errors": null, - "input_file_id": "file-abc123", - "completion_window": "24h", - "status": "completed", - "output_file_id": "file-cvaTdG", - "error_file_id": "file-HOWS94", - "created_at": 1711471533, - "in_progress_at": 1711471538, - "expires_at": 1711557933, - "finalizing_at": 1711493133, - "completed_at": 1711493163, - "failed_at": null, - "expired_at": null, - "cancelling_at": null, - "cancelled_at": null, - "request_counts": { - "total": 100, - "completed": 95, - "failed": 5 - }, - "metadata": { - "customer_id": "user_123456789", - "batch_description": "Nightly eval job", - } - } - - /batches/{batch_id}/cancel: - post: - operationId: cancelBatch - tags: - - Batch - summary: Cancels an in-progress batch. - parameters: - - in: path - name: batch_id - required: true - schema: - type: string - description: The ID of the batch to cancel. - responses: - "200": - description: Batch is cancelling. Returns the cancelling batch's details. - content: - application/json: - schema: - $ref: "#/components/schemas/Batch" - x-oaiMeta: - name: Cancel batch - group: batch - returns: The [Batch](/docs/api-reference/batch/object) object matching the specified ID. - examples: - request: - curl: | - curl https://api.openai.com/v1/batches/batch_abc123/cancel \ - -H "Authorization: Bearer $OPENAI_API_KEY" \ - -H "Content-Type: application/json" \ - -X POST - python: | - from openai import OpenAI - client = OpenAI() - - client.batches.cancel("batch_abc123") - node: | - import OpenAI from "openai"; - - const openai = new OpenAI(); - - async function main() { - const batch = await openai.batches.cancel("batch_abc123"); - - console.log(batch); - } - - main(); - response: | - { - "id": "batch_abc123", - "object": "batch", - "endpoint": "/v1/chat/completions", - "errors": null, - "input_file_id": "file-abc123", - "completion_window": "24h", - "status": "cancelling", - "output_file_id": null, - "error_file_id": null, - "created_at": 1711471533, - "in_progress_at": 1711471538, - "expires_at": 1711557933, - "finalizing_at": null, - "completed_at": null, - "failed_at": null, - "expired_at": null, - "cancelling_at": 1711475133, - "cancelled_at": null, - "request_counts": { - "total": 100, - "completed": 23, - "failed": 1 - }, - "metadata": { - "customer_id": "user_123456789", - "batch_description": "Nightly eval job", - } - } + enum: [owner, member] + description: "`owner` or `member`" + required: + - role -components: - securitySchemes: - ApiKeyAuth: - type: http - scheme: "bearer" - - schemas: - Error: - type: object - properties: - code: - type: string - nullable: true - message: - type: string - nullable: false - param: - type: string - nullable: true - type: - type: string - nullable: false - required: - - type - - message - - param - - code - ErrorResponse: - type: object - properties: - error: - $ref: "#/components/schemas/Error" - required: - - error - - ListModelsResponse: - type: object - properties: - object: - type: string - enum: [list] - data: - type: array - items: - $ref: "#/components/schemas/Model" - required: - - object - - data - DeleteModelResponse: - type: object - properties: - id: - type: string - deleted: - type: boolean - object: - type: string - required: - - id - - object - - deleted - - CreateCompletionRequest: - type: object - properties: - model: - description: &model_description | - ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - anyOf: - - type: string - - type: string - enum: ["gpt-3.5-turbo-instruct", "davinci-002", "babbage-002"] - x-oaiTypeLabel: string - prompt: - description: &completions_prompt_description | - The prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays. - - Note that <|endoftext|> is the document separator that the model sees during training, so if a prompt is not specified the model will generate as if from the beginning of a new document. - default: "<|endoftext|>" - nullable: true - oneOf: - - type: string - default: "" - example: "This is a test." - - type: array - items: - type: string - default: "" - example: "This is a test." - - type: array - minItems: 1 - items: - type: integer - example: "[1212, 318, 257, 1332, 13]" - - type: array - minItems: 1 - items: - type: array - minItems: 1 - items: - type: integer - example: "[[1212, 318, 257, 1332, 13]]" - best_of: - type: integer - default: 1 - minimum: 0 - maximum: 20 - nullable: true - description: &completions_best_of_description | - Generates `best_of` completions server-side and returns the "best" (the one with the highest log probability per token). Results cannot be streamed. - - When used with `n`, `best_of` controls the number of candidate completions and `n` specifies how many to return – `best_of` must be greater than `n`. - - **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`. - echo: - type: boolean - default: false - nullable: true - description: &completions_echo_description > - Echo back the prompt in addition to the completion - frequency_penalty: - type: number - default: 0 - minimum: -2 - maximum: 2 - nullable: true - description: &completions_frequency_penalty_description | - Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. - - [See more information about frequency and presence penalties.](/docs/guides/text-generation/parameter-details) - logit_bias: &completions_logit_bias - type: object - x-oaiTypeLabel: map - default: null - nullable: true - additionalProperties: - type: integer - description: &completions_logit_bias_description | - Modify the likelihood of specified tokens appearing in the completion. - - Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. - - As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token from being generated. - logprobs: &completions_logprobs_configuration - type: integer - minimum: 0 - maximum: 5 - default: null - nullable: true - description: &completions_logprobs_description | - Include the log probabilities on the `logprobs` most likely output tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. - - The maximum value for `logprobs` is 5. - max_tokens: - type: integer - minimum: 0 - default: 16 - example: 16 - nullable: true - description: &completions_max_tokens_description | - The maximum number of [tokens](/tokenizer) that can be generated in the completion. - - The token count of your prompt plus `max_tokens` cannot exceed the model's context length. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens. - n: - type: integer - minimum: 1 - maximum: 128 - default: 1 - example: 1 - nullable: true - description: &completions_completions_description | - How many completions to generate for each prompt. - - **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`. - presence_penalty: - type: number - default: 0 - minimum: -2 - maximum: 2 - nullable: true - description: &completions_presence_penalty_description | - Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. - - [See more information about frequency and presence penalties.](/docs/guides/text-generation/parameter-details) - seed: &completions_seed_param - type: integer - minimum: -9223372036854775808 - maximum: 9223372036854775807 - nullable: true - description: | - If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result. - - Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend. - stop: - description: &completions_stop_description > - Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. - default: null - nullable: true - oneOf: - - type: string - default: <|endoftext|> - example: "\n" - nullable: true - - type: array - minItems: 1 - maxItems: 4 - items: - type: string - example: '["\n"]' - stream: - description: > - Whether to stream back partial progress. If set, tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) - as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions). - type: boolean - nullable: true - default: false - stream_options: - $ref: "#/components/schemas/ChatCompletionStreamOptions" - suffix: - description: | - The suffix that comes after a completion of inserted text. - - This parameter is only supported for `gpt-3.5-turbo-instruct`. - default: null - nullable: true - type: string - example: "test." - temperature: - type: number - minimum: 0 - maximum: 2 - default: 1 - example: 1 - nullable: true - description: &completions_temperature_description | - What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - - We generally recommend altering this or `top_p` but not both. - top_p: - type: number - minimum: 0 - maximum: 1 - default: 1 - example: 1 - nullable: true - description: &completions_top_p_description | - An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. - - We generally recommend altering this or `temperature` but not both. - user: &end_user_param_configuration - type: string - example: user-1234 - description: | - A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids). - required: - - model - - prompt - - CreateCompletionResponse: - type: object - description: | - Represents a completion response from the API. Note: both the streamed and non-streamed response objects share the same shape (unlike the chat endpoint). - properties: - id: - type: string - description: A unique identifier for the completion. - choices: - type: array - description: The list of completion choices the model generated for the input prompt. - items: - type: object - required: - - finish_reason - - index - - logprobs - - text - properties: - finish_reason: - type: string - description: &completion_finish_reason_description | - The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence, - `length` if the maximum number of tokens specified in the request was reached, - or `content_filter` if content was omitted due to a flag from our content filters. - enum: ["stop", "length", "content_filter"] - index: - type: integer - logprobs: - type: object - nullable: true - properties: - text_offset: - type: array - items: - type: integer - token_logprobs: - type: array - items: - type: number - tokens: - type: array - items: - type: string - top_logprobs: - type: array - items: - type: object - additionalProperties: - type: number - text: - type: string - created: - type: integer - description: The Unix timestamp (in seconds) of when the completion was created. - model: - type: string - description: The model used for completion. - system_fingerprint: - type: string - description: | - This fingerprint represents the backend configuration that the model runs with. - - Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism. - object: - type: string - description: The object type, which is always "text_completion" - enum: [text_completion] - usage: - $ref: "#/components/schemas/CompletionUsage" - required: - - id - - object - - created - - model - - choices - x-oaiMeta: - name: The completion object - legacy: true - example: | - { - "id": "cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7", - "object": "text_completion", - "created": 1589478378, - "model": "gpt-4-turbo", - "choices": [ - { - "text": "\n\nThis is indeed a test", - "index": 0, - "logprobs": null, - "finish_reason": "length" - } - ], - "usage": { - "prompt_tokens": 5, - "completion_tokens": 7, - "total_tokens": 12 - } - } - - ChatCompletionRequestMessageContentPart: - oneOf: - - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText" - - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartImage" - x-oaiExpandable: true - - ChatCompletionRequestMessageContentPartImage: - type: object - title: Image content part - properties: - type: - type: string - enum: ["image_url"] - description: The type of the content part. - image_url: - type: object - properties: - url: - type: string - description: Either a URL of the image or the base64 encoded image data. - format: uri - detail: - type: string - description: Specifies the detail level of the image. Learn more in the [Vision guide](/docs/guides/vision/low-or-high-fidelity-image-understanding). - enum: ["auto", "low", "high"] - default: "auto" - required: - - url - required: - - type - - image_url - - ChatCompletionRequestMessageContentPartText: - type: object - title: Text content part - properties: - type: - type: string - enum: ["text"] - description: The type of the content part. - text: - type: string - description: The text content. - required: - - type - - text - - ChatCompletionRequestMessage: - oneOf: - - $ref: "#/components/schemas/ChatCompletionRequestSystemMessage" - - $ref: "#/components/schemas/ChatCompletionRequestUserMessage" - - $ref: "#/components/schemas/ChatCompletionRequestAssistantMessage" - - $ref: "#/components/schemas/ChatCompletionRequestToolMessage" - - $ref: "#/components/schemas/ChatCompletionRequestFunctionMessage" - x-oaiExpandable: true - - ChatCompletionRequestSystemMessage: - type: object - title: System message - properties: - content: - description: The contents of the system message. - type: string - role: - type: string - enum: ["system"] - description: The role of the messages author, in this case `system`. - name: - type: string - description: An optional name for the participant. Provides the model information to differentiate between participants of the same role. - required: - - content - - role - - ChatCompletionRequestUserMessage: - type: object - title: User message - properties: - content: - description: | - The contents of the user message. - oneOf: - - type: string - description: The text contents of the message. - title: Text content - - type: array - description: An array of content parts with a defined type, each can be of type `text` or `image_url` when passing in images. You can pass multiple images by adding multiple `image_url` content parts. Image input is only supported when using the `gpt-4-visual-preview` model. - title: Array of content parts - items: - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPart" - minItems: 1 - x-oaiExpandable: true - role: - type: string - enum: ["user"] - description: The role of the messages author, in this case `user`. - name: - type: string - description: An optional name for the participant. Provides the model information to differentiate between participants of the same role. - required: - - content - - role - - ChatCompletionRequestAssistantMessage: - type: object - title: Assistant message - properties: - content: - nullable: true - type: string - description: | - The contents of the assistant message. Required unless `tool_calls` or `function_call` is specified. - role: - type: string - enum: ["assistant"] - description: The role of the messages author, in this case `assistant`. - name: - type: string - description: An optional name for the participant. Provides the model information to differentiate between participants of the same role. - tool_calls: - $ref: "#/components/schemas/ChatCompletionMessageToolCalls" - function_call: - type: object - deprecated: true - description: "Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model." - properties: - arguments: - type: string - description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function. - name: - type: string - description: The name of the function to call. - required: - - arguments - - name - required: - - role - - ChatCompletionRequestToolMessage: - type: object - title: Tool message - properties: - role: - type: string - enum: ["tool"] - description: The role of the messages author, in this case `tool`. - content: - type: string - description: The contents of the tool message. - tool_call_id: - type: string - description: Tool call that this message is responding to. - required: - - role - - content - - tool_call_id - - ChatCompletionRequestFunctionMessage: - type: object - title: Function message - deprecated: true - properties: - role: - type: string - enum: ["function"] - description: The role of the messages author, in this case `function`. - content: - nullable: true - type: string - description: The contents of the function message. - name: - type: string - description: The name of the function to call. - required: - - role - - content - - name - - FunctionParameters: - type: object - description: "The parameters the functions accepts, described as a JSON Schema object. See the [guide](/docs/guides/text-generation/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. \n\nOmitting `parameters` defines a function with an empty parameter list." - additionalProperties: true - - ChatCompletionFunctions: - type: object - deprecated: true - properties: - description: - type: string - description: A description of what the function does, used by the model to choose when and how to call the function. - name: - type: string - description: The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - parameters: - $ref: "#/components/schemas/FunctionParameters" - required: - - name - - ChatCompletionFunctionCallOption: - type: object - description: > - Specifying a particular function via `{"name": "my_function"}` forces the model to call that function. - properties: - name: - type: string - description: The name of the function to call. - required: - - name - - ChatCompletionTool: - type: object - properties: - type: - type: string - enum: ["function"] - description: The type of the tool. Currently, only `function` is supported. - function: - $ref: "#/components/schemas/FunctionObject" - required: - - type - - function - - FunctionObject: - type: object - properties: - description: - type: string - description: A description of what the function does, used by the model to choose when and how to call the function. - name: - type: string - description: The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. - parameters: - $ref: "#/components/schemas/FunctionParameters" - required: - - name - - ChatCompletionToolChoiceOption: - description: | - Controls which (if any) tool is called by the model. - `none` means the model will not call any tool and instead generates a message. - `auto` means the model can pick between generating a message or calling one or more tools. - `required` means the model must call one or more tools. - Specifying a particular tool via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that tool. - - `none` is the default when no tools are present. `auto` is the default if tools are present. - oneOf: - - type: string - description: > - `none` means the model will not call any tool and instead generates a message. - `auto` means the model can pick between generating a message or calling one or more tools. - `required` means the model must call one or more tools. - enum: [none, auto, required] - - $ref: "#/components/schemas/ChatCompletionNamedToolChoice" - x-oaiExpandable: true - - ChatCompletionNamedToolChoice: - type: object - description: Specifies a tool the model should use. Use to force the model to call a specific function. - properties: - type: - type: string - enum: ["function"] - description: The type of the tool. Currently, only `function` is supported. - function: - type: object - properties: - name: - type: string - description: The name of the function to call. - required: - - name - required: - - type - - function - - ChatCompletionMessageToolCalls: - type: array - description: The tool calls generated by the model, such as function calls. - items: - $ref: "#/components/schemas/ChatCompletionMessageToolCall" - - ChatCompletionMessageToolCall: - type: object - properties: - # TODO: index included when streaming - id: - type: string - description: The ID of the tool call. - type: - type: string - enum: ["function"] - description: The type of the tool. Currently, only `function` is supported. - function: - type: object - description: The function that the model called. - properties: - name: - type: string - description: The name of the function to call. - arguments: - type: string - description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function. - required: - - name - - arguments - required: - - id - - type - - function - - ChatCompletionMessageToolCallChunk: - type: object - properties: - index: - type: integer - id: - type: string - description: The ID of the tool call. - type: - type: string - enum: ["function"] - description: The type of the tool. Currently, only `function` is supported. - function: - type: object - properties: - name: - type: string - description: The name of the function to call. - arguments: - type: string - description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function. - required: - - index - - # Note, this isn't referenced anywhere, but is kept as a convenience to record all possible roles in one place. - ChatCompletionRole: - type: string - description: The role of the author of a message - enum: - - system - - user - - assistant - - tool - - function - - ChatCompletionStreamOptions: - description: | - Options for streaming response. Only set this when you set `stream: true`. - type: object - nullable: true - default: null - properties: - include_usage: - type: boolean - description: | - If set, an additional chunk will be streamed before the `data: [DONE]` message. The `usage` field on this chunk shows the token usage statistics for the entire request, and the `choices` field will always be an empty array. All other chunks will also include a `usage` field, but with a null value. - - ChatCompletionResponseMessage: - type: object - description: A chat completion message generated by the model. - properties: - content: - type: string - description: The contents of the message. - nullable: true - tool_calls: - $ref: "#/components/schemas/ChatCompletionMessageToolCalls" - role: - type: string - enum: ["assistant"] - description: The role of the author of this message. - function_call: - type: object - deprecated: true - description: "Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model." - properties: - arguments: - type: string - description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function. - name: - type: string - description: The name of the function to call. - required: - - name - - arguments - required: - - role - - content - - ChatCompletionStreamResponseDelta: - type: object - description: A chat completion delta generated by streamed model responses. - properties: - content: - type: string - description: The contents of the chunk message. - nullable: true - function_call: - deprecated: true - type: object - description: "Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model." - properties: - arguments: - type: string - description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function. - name: - type: string - description: The name of the function to call. - tool_calls: - type: array - items: - $ref: "#/components/schemas/ChatCompletionMessageToolCallChunk" - role: - type: string - enum: ["system", "user", "assistant", "tool"] - description: The role of the author of this message. - - CreateChatCompletionRequest: - type: object - properties: - messages: - description: A list of messages comprising the conversation so far. [Example Python code](https://cookbook.openai.com/examples/how_to_format_inputs_to_chatgpt_models). - type: array - minItems: 1 - items: - $ref: "#/components/schemas/ChatCompletionRequestMessage" - model: - description: ID of the model to use. See the [model endpoint compatibility](/docs/models/model-endpoint-compatibility) table for details on which models work with the Chat API. - example: "gpt-4-turbo" - anyOf: - - type: string - - type: string - enum: - [ - "gpt-4o", - "gpt-4o-2024-05-13", - "gpt-4-turbo", - "gpt-4-turbo-2024-04-09", - "gpt-4-0125-preview", - "gpt-4-turbo-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-4", - "gpt-4-0314", - "gpt-4-0613", - "gpt-4-32k", - "gpt-4-32k-0314", - "gpt-4-32k-0613", - "gpt-3.5-turbo", - "gpt-3.5-turbo-16k", - "gpt-3.5-turbo-0301", - "gpt-3.5-turbo-0613", - "gpt-3.5-turbo-1106", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-16k-0613", - ] - x-oaiTypeLabel: string - frequency_penalty: - type: number - default: 0 - minimum: -2 - maximum: 2 - nullable: true - description: *completions_frequency_penalty_description - logit_bias: - type: object - x-oaiTypeLabel: map - default: null - nullable: true - additionalProperties: - type: integer - description: | - Modify the likelihood of specified tokens appearing in the completion. - - Accepts a JSON object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. - logprobs: - description: Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the `content` of `message`. - type: boolean - default: false - nullable: true - top_logprobs: - description: An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. `logprobs` must be set to `true` if this parameter is used. - type: integer - minimum: 0 - maximum: 20 - nullable: true - max_tokens: - description: | - The maximum number of [tokens](/tokenizer) that can be generated in the chat completion. - - The total length of input tokens and generated tokens is limited by the model's context length. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens. - type: integer - nullable: true - n: - type: integer - minimum: 1 - maximum: 128 - default: 1 - example: 1 - nullable: true - description: How many chat completion choices to generate for each input message. Note that you will be charged based on the number of generated tokens across all of the choices. Keep `n` as `1` to minimize costs. - presence_penalty: - type: number - default: 0 - minimum: -2 - maximum: 2 - nullable: true - description: *completions_presence_penalty_description - response_format: - type: object - description: | - An object specifying the format that the model must output. Compatible with [GPT-4 Turbo](/docs/models/gpt-4-and-gpt-4-turbo) and all GPT-3.5 Turbo models newer than `gpt-3.5-turbo-1106`. - - Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is valid JSON. - - **Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length. - properties: - type: - type: string - enum: ["text", "json_object"] - example: "json_object" - default: "text" - description: Must be one of `text` or `json_object`. - seed: - type: integer - minimum: -9223372036854775808 - maximum: 9223372036854775807 - nullable: true - description: | - This feature is in Beta. - If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result. - Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend. - x-oaiMeta: - beta: true - stop: - description: | - Up to 4 sequences where the API will stop generating further tokens. - default: null - oneOf: - - type: string - nullable: true - - type: array - minItems: 1 - maxItems: 4 - items: - type: string - stream: - description: > - If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) - as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions). - type: boolean - nullable: true - default: false - stream_options: - $ref: "#/components/schemas/ChatCompletionStreamOptions" - temperature: - type: number - minimum: 0 - maximum: 2 - default: 1 - example: 1 - nullable: true - description: *completions_temperature_description - top_p: - type: number - minimum: 0 - maximum: 1 - default: 1 - example: 1 - nullable: true - description: *completions_top_p_description - tools: - type: array - description: > - A list of tools the model may call. Currently, only functions are supported as a tool. - Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported. - items: - $ref: "#/components/schemas/ChatCompletionTool" - tool_choice: - $ref: "#/components/schemas/ChatCompletionToolChoiceOption" - user: *end_user_param_configuration - function_call: - deprecated: true - description: | - Deprecated in favor of `tool_choice`. - - Controls which (if any) function is called by the model. - `none` means the model will not call a function and instead generates a message. - `auto` means the model can pick between generating a message or calling a function. - Specifying a particular function via `{"name": "my_function"}` forces the model to call that function. - - `none` is the default when no functions are present. `auto` is the default if functions are present. - oneOf: - - type: string - description: > - `none` means the model will not call a function and instead generates a message. - `auto` means the model can pick between generating a message or calling a function. - enum: [none, auto] - - $ref: "#/components/schemas/ChatCompletionFunctionCallOption" - x-oaiExpandable: true - functions: - deprecated: true - description: | - Deprecated in favor of `tools`. - - A list of functions the model may generate JSON inputs for. - type: array - minItems: 1 - maxItems: 128 - items: - $ref: "#/components/schemas/ChatCompletionFunctions" - - required: - - model - - messages - - CreateChatCompletionResponse: - type: object - description: Represents a chat completion response returned by model, based on the provided input. - properties: - id: - type: string - description: A unique identifier for the chat completion. - choices: - type: array - description: A list of chat completion choices. Can be more than one if `n` is greater than 1. - items: - type: object - required: - - finish_reason - - index - - message - - logprobs - properties: - finish_reason: - type: string - description: &chat_completion_finish_reason_description | - The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence, - `length` if the maximum number of tokens specified in the request was reached, - `content_filter` if content was omitted due to a flag from our content filters, - `tool_calls` if the model called a tool, or `function_call` (deprecated) if the model called a function. - enum: - [ - "stop", - "length", - "tool_calls", - "content_filter", - "function_call", - ] - index: - type: integer - description: The index of the choice in the list of choices. - message: - $ref: "#/components/schemas/ChatCompletionResponseMessage" - logprobs: &chat_completion_response_logprobs - description: Log probability information for the choice. - type: object - nullable: true - properties: - content: - description: A list of message content tokens with log probability information. + ProjectUserDeleteResponse: + type: object + properties: + object: + type: string + enum: [organization.project.user.deleted] + id: + type: string + deleted: + type: boolean + required: + - object + - id + - deleted + + ProjectServiceAccount: + type: object + description: Represents an individual service account in a project. + properties: + object: + type: string + enum: [organization.project.service_account] + description: The object type, which is always `organization.project.service_account` + id: + type: string + description: The identifier, which can be referenced in API endpoints + name: + type: string + description: The name of the service account + role: + type: string + enum: [owner, member] + description: "`owner` or `member`" + created_at: + type: integer + description: The Unix timestamp (in seconds) of when the service account was created + required: + - object + - id + - name + - role + - created_at + x-oaiMeta: + name: The project service account object + example: | + { + "object": "organization.project.service_account", + "id": "svc_acct_abc", + "name": "Service Account", + "role": "owner", + "created_at": 1711471533 + } + + ProjectServiceAccountListResponse: + type: object + properties: + object: + type: string + enum: [list] + data: type: array items: - $ref: "#/components/schemas/ChatCompletionTokenLogprob" - nullable: true - required: - - content - created: - type: integer - description: The Unix timestamp (in seconds) of when the chat completion was created. - model: - type: string - description: The model used for the chat completion. - system_fingerprint: - type: string - description: | - This fingerprint represents the backend configuration that the model runs with. - - Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism. - object: - type: string - description: The object type, which is always `chat.completion`. - enum: [chat.completion] - usage: - $ref: "#/components/schemas/CompletionUsage" - required: - - choices - - created - - id - - model - - object - x-oaiMeta: - name: The chat completion object - group: chat - example: *chat_completion_example - - CreateChatCompletionFunctionResponse: - type: object - description: Represents a chat completion response returned by model, based on the provided input. - properties: - id: - type: string - description: A unique identifier for the chat completion. - choices: - type: array - description: A list of chat completion choices. Can be more than one if `n` is greater than 1. - items: - type: object - required: - - finish_reason - - index - - message - - logprobs - properties: - finish_reason: - type: string - description: - &chat_completion_function_finish_reason_description | - The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence, `length` if the maximum number of tokens specified in the request was reached, `content_filter` if content was omitted due to a flag from our content filters, or `function_call` if the model called a function. - enum: ["stop", "length", "function_call", "content_filter"] - index: - type: integer - description: The index of the choice in the list of choices. - message: - $ref: "#/components/schemas/ChatCompletionResponseMessage" - created: - type: integer - description: The Unix timestamp (in seconds) of when the chat completion was created. - model: - type: string - description: The model used for the chat completion. - system_fingerprint: - type: string - description: | - This fingerprint represents the backend configuration that the model runs with. - - Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism. - object: - type: string - description: The object type, which is always `chat.completion`. - enum: [chat.completion] - usage: - $ref: "#/components/schemas/CompletionUsage" - required: - - choices - - created - - id - - model - - object - x-oaiMeta: - name: The chat completion object - group: chat - example: *chat_completion_function_example - - ChatCompletionTokenLogprob: - type: object - properties: - token: &chat_completion_response_logprobs_token - description: The token. - type: string - logprob: &chat_completion_response_logprobs_token_logprob - description: The log probability of this token, if it is within the top 20 most likely tokens. Otherwise, the value `-9999.0` is used to signify that the token is very unlikely. - type: number - bytes: &chat_completion_response_logprobs_bytes - description: A list of integers representing the UTF-8 bytes representation of the token. Useful in instances where characters are represented by multiple tokens and their byte representations must be combined to generate the correct text representation. Can be `null` if there is no bytes representation for the token. - type: array - items: - type: integer - nullable: true - top_logprobs: - description: List of the most likely tokens and their log probability, at this token position. In rare cases, there may be fewer than the number of requested `top_logprobs` returned. - type: array - items: - type: object - properties: - token: *chat_completion_response_logprobs_token - logprob: *chat_completion_response_logprobs_token_logprob - bytes: *chat_completion_response_logprobs_bytes - required: - - token - - logprob - - bytes - required: - - token - - logprob - - bytes - - top_logprobs - - ListPaginatedFineTuningJobsResponse: - type: object - properties: - data: - type: array - items: - $ref: "#/components/schemas/FineTuningJob" - has_more: - type: boolean - object: - type: string - enum: [list] - required: - - object - - data - - has_more - - CreateChatCompletionStreamResponse: - type: object - description: Represents a streamed chunk of a chat completion response returned by model, based on the provided input. - properties: - id: - type: string - description: A unique identifier for the chat completion. Each chunk has the same ID. - choices: - type: array - description: | - A list of chat completion choices. Can contain more than one elements if `n` is greater than 1. Can also be empty for the - last chunk if you set `stream_options: {"include_usage": true}`. - items: - type: object - required: - - delta - - finish_reason - - index - properties: - delta: - $ref: "#/components/schemas/ChatCompletionStreamResponseDelta" - logprobs: *chat_completion_response_logprobs - finish_reason: - type: string - description: *chat_completion_finish_reason_description - enum: - [ - "stop", - "length", - "tool_calls", - "content_filter", - "function_call", - ] - nullable: true - index: - type: integer - description: The index of the choice in the list of choices. - created: - type: integer - description: The Unix timestamp (in seconds) of when the chat completion was created. Each chunk has the same timestamp. - model: - type: string - description: The model to generate the completion. - system_fingerprint: - type: string - description: | - This fingerprint represents the backend configuration that the model runs with. - Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism. - object: - type: string - description: The object type, which is always `chat.completion.chunk`. - enum: [chat.completion.chunk] - usage: - type: object - description: | - An optional field that will only be present when you set `stream_options: {"include_usage": true}` in your request. - When present, it contains a null value except for the last chunk which contains the token usage statistics for the entire request. - properties: - completion_tokens: - type: integer - description: Number of tokens in the generated completion. - prompt_tokens: - type: integer - description: Number of tokens in the prompt. - total_tokens: - type: integer - description: Total number of tokens used in the request (prompt + completion). - required: - - prompt_tokens - - completion_tokens - - total_tokens - required: - - choices - - created - - id - - model - - object - x-oaiMeta: - name: The chat completion chunk object - group: chat - example: *chat_completion_chunk_example - - CreateChatCompletionImageResponse: - type: object - description: Represents a streamed chunk of a chat completion response returned by model, based on the provided input. - x-oaiMeta: - name: The chat completion chunk object - group: chat - example: *chat_completion_image_example - - CreateImageRequest: - type: object - properties: - prompt: - description: A text description of the desired image(s). The maximum length is 1000 characters for `dall-e-2` and 4000 characters for `dall-e-3`. - type: string - example: "A cute baby sea otter" - model: - anyOf: - - type: string - - type: string - enum: ["dall-e-2", "dall-e-3"] - x-oaiTypeLabel: string - default: "dall-e-2" - example: "dall-e-3" - nullable: true - description: The model to use for image generation. - n: &images_n - type: integer - minimum: 1 - maximum: 10 - default: 1 - example: 1 - nullable: true - description: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only `n=1` is supported. - quality: - type: string - enum: ["standard", "hd"] - default: "standard" - example: "standard" - description: The quality of the image that will be generated. `hd` creates images with finer details and greater consistency across the image. This param is only supported for `dall-e-3`. - response_format: &images_response_format - type: string - enum: ["url", "b64_json"] - default: "url" - example: "url" - nullable: true - description: The format in which the generated images are returned. Must be one of `url` or `b64_json`. URLs are only valid for 60 minutes after the image has been generated. - size: &images_size - type: string - enum: ["256x256", "512x512", "1024x1024", "1792x1024", "1024x1792"] - default: "1024x1024" - example: "1024x1024" - nullable: true - description: The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3` models. - style: - type: string - enum: ["vivid", "natural"] - default: "vivid" - example: "vivid" - nullable: true - description: The style of the generated images. Must be one of `vivid` or `natural`. Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images. This param is only supported for `dall-e-3`. - user: *end_user_param_configuration - required: - - prompt - - ImagesResponse: - properties: - created: - type: integer - data: - type: array - items: - $ref: "#/components/schemas/Image" - required: - - created - - data - - Image: - type: object - description: Represents the url or the content of an image generated by the OpenAI API. - properties: - b64_json: - type: string - description: The base64-encoded JSON of the generated image, if `response_format` is `b64_json`. - url: - type: string - description: The URL of the generated image, if `response_format` is `url` (default). - revised_prompt: - type: string - description: The prompt that was used to generate the image, if there was any revision to the prompt. - x-oaiMeta: - name: The image object - example: | - { - "url": "...", - "revised_prompt": "..." - } - - CreateImageEditRequest: - type: object - properties: - image: - description: The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. - type: string - format: binary - prompt: - description: A text description of the desired image(s). The maximum length is 1000 characters. - type: string - example: "A cute baby sea otter wearing a beret" - mask: - description: An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - type: string - format: binary - model: - anyOf: - - type: string - - type: string - enum: ["dall-e-2"] - x-oaiTypeLabel: string - default: "dall-e-2" - example: "dall-e-2" - nullable: true - description: The model to use for image generation. Only `dall-e-2` is supported at this time. - n: - type: integer - minimum: 1 - maximum: 10 - default: 1 - example: 1 - nullable: true - description: The number of images to generate. Must be between 1 and 10. - size: &dalle2_images_size - type: string - enum: ["256x256", "512x512", "1024x1024"] - default: "1024x1024" - example: "1024x1024" - nullable: true - description: The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - response_format: *images_response_format - user: *end_user_param_configuration - required: - - prompt - - image - - CreateImageVariationRequest: - type: object - properties: - image: - description: The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - type: string - format: binary - model: - anyOf: - - type: string - - type: string - enum: ["dall-e-2"] - x-oaiTypeLabel: string - default: "dall-e-2" - example: "dall-e-2" - nullable: true - description: The model to use for image generation. Only `dall-e-2` is supported at this time. - n: *images_n - response_format: *images_response_format - size: *dalle2_images_size - user: *end_user_param_configuration - required: - - image - - CreateModerationRequest: - type: object - properties: - input: - description: The input text to classify - oneOf: - - type: string - default: "" - example: "I want to kill them." - - type: array - items: - type: string - default: "" - example: "I want to kill them." - model: - description: | - Two content moderations models are available: `text-moderation-stable` and `text-moderation-latest`. - - The default is `text-moderation-latest` which will be automatically upgraded over time. This ensures you are always using our most accurate model. If you use `text-moderation-stable`, we will provide advanced notice before updating the model. Accuracy of `text-moderation-stable` may be slightly lower than for `text-moderation-latest`. - nullable: false - default: "text-moderation-latest" - example: "text-moderation-stable" - anyOf: - - type: string - - type: string - enum: ["text-moderation-latest", "text-moderation-stable"] - x-oaiTypeLabel: string - required: - - input - - CreateModerationResponse: - type: object - description: Represents if a given text input is potentially harmful. - properties: - id: - type: string - description: The unique identifier for the moderation request. - model: - type: string - description: The model used to generate the moderation results. - results: - type: array - description: A list of moderation objects. - items: - type: object - properties: - flagged: - type: boolean - description: Whether any of the below categories are flagged. - categories: - type: object - description: A list of the categories, and whether they are flagged or not. - properties: - hate: - type: boolean - description: Content that expresses, incites, or promotes hate based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste. Hateful content aimed at non-protected groups (e.g., chess players) is harassment. - hate/threatening: - type: boolean - description: Hateful content that also includes violence or serious harm towards the targeted group based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste. - harassment: - type: boolean - description: Content that expresses, incites, or promotes harassing language towards any target. - harassment/threatening: - type: boolean - description: Harassment content that also includes violence or serious harm towards any target. - self-harm: - type: boolean - description: Content that promotes, encourages, or depicts acts of self-harm, such as suicide, cutting, and eating disorders. - self-harm/intent: - type: boolean - description: Content where the speaker expresses that they are engaging or intend to engage in acts of self-harm, such as suicide, cutting, and eating disorders. - self-harm/instructions: - type: boolean - description: Content that encourages performing acts of self-harm, such as suicide, cutting, and eating disorders, or that gives instructions or advice on how to commit such acts. - sexual: - type: boolean - description: Content meant to arouse sexual excitement, such as the description of sexual activity, or that promotes sexual services (excluding sex education and wellness). - sexual/minors: - type: boolean - description: Sexual content that includes an individual who is under 18 years old. - violence: + $ref: '#/components/schemas/ProjectServiceAccount' + first_id: + type: string + last_id: + type: string + has_more: type: boolean - description: Content that depicts death, violence, or physical injury. - violence/graphic: + required: + - object + - data + - first_id + - last_id + - has_more + + ProjectServiceAccountCreateRequest: + type: object + properties: + name: + type: string + description: The name of the service account being created. + required: + - name + + ProjectServiceAccountCreateResponse: + type: object + properties: + object: + type: string + enum: [organization.project.service_account] + id: + type: string + name: + type: string + role: + type: string + enum: [member] + description: Service accounts can only have one role of type `member` + created_at: + type: integer + api_key: + $ref: '#/components/schemas/ProjectServiceAccountApiKey' + required: + - object + - id + - name + - role + - created_at + - api_key + + ProjectServiceAccountApiKey: + type: object + properties: + object: + type: string + enum: [organization.project.service_account.api_key] + description: The object type, which is always `organization.project.service_account.api_key` + + value: + type: string + name: + type: string + created_at: + type: integer + id: + type: string + required: + - object + - value + - name + - created_at + - id + + ProjectServiceAccountDeleteResponse: + type: object + properties: + object: + type: string + enum: [organization.project.service_account.deleted] + id: + type: string + deleted: type: boolean - description: Content that depicts death, violence, or physical injury in graphic detail. - required: - - hate - - hate/threatening - - harassment - - harassment/threatening - - self-harm - - self-harm/intent - - self-harm/instructions - - sexual - - sexual/minors - - violence - - violence/graphic - category_scores: - type: object - description: A list of the categories along with their scores as predicted by model. - properties: - hate: - type: number - description: The score for the category 'hate'. - hate/threatening: - type: number - description: The score for the category 'hate/threatening'. - harassment: - type: number - description: The score for the category 'harassment'. - harassment/threatening: - type: number - description: The score for the category 'harassment/threatening'. - self-harm: - type: number - description: The score for the category 'self-harm'. - self-harm/intent: - type: number - description: The score for the category 'self-harm/intent'. - self-harm/instructions: - type: number - description: The score for the category 'self-harm/instructions'. - sexual: - type: number - description: The score for the category 'sexual'. - sexual/minors: - type: number - description: The score for the category 'sexual/minors'. - violence: - type: number - description: The score for the category 'violence'. - violence/graphic: - type: number - description: The score for the category 'violence/graphic'. - required: - - hate - - hate/threatening - - harassment - - harassment/threatening - - self-harm - - self-harm/intent - - self-harm/instructions - - sexual - - sexual/minors - - violence - - violence/graphic - required: - - flagged - - categories - - category_scores - required: - - id - - model - - results - x-oaiMeta: - name: The moderation object - example: *moderation_example - - ListFilesResponse: - type: object - properties: - data: - type: array - items: - $ref: "#/components/schemas/OpenAIFile" - object: - type: string - enum: [list] - required: - - object - - data - - CreateFileRequest: - type: object - additionalProperties: false - properties: - file: - description: | - The File object (not file name) to be uploaded. - type: string - format: binary - purpose: - description: | - The intended purpose of the uploaded file. - - Use "assistants" for [Assistants](/docs/api-reference/assistants) and [Message](/docs/api-reference/messages) files, "vision" for Assistants image file inputs, "batch" for [Batch API](/docs/guides/batch), and "fine-tune" for [Fine-tuning](/docs/api-reference/fine-tuning). - type: string - enum: ["assistants", "batch", "fine-tune"] - required: - - file - - purpose - - DeleteFileResponse: - type: object - properties: - id: - type: string - object: - type: string - enum: [file] - deleted: - type: boolean - required: - - id - - object - - deleted - - CreateFineTuningJobRequest: - type: object - properties: - model: - description: | - The name of the model to fine-tune. You can select one of the - [supported models](/docs/guides/fine-tuning/what-models-can-be-fine-tuned). - example: "gpt-3.5-turbo" - anyOf: - - type: string - - type: string - enum: ["babbage-002", "davinci-002", "gpt-3.5-turbo"] - x-oaiTypeLabel: string - training_file: - description: | - The ID of an uploaded file that contains training data. - - See [upload file](/docs/api-reference/files/create) for how to upload a file. - - Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose `fine-tune`. - - See the [fine-tuning guide](/docs/guides/fine-tuning) for more details. - type: string - example: "file-abc123" - hyperparameters: - type: object - description: The hyperparameters used for the fine-tuning job. - properties: - batch_size: - description: | - Number of examples in each batch. A larger batch size means that model parameters - are updated less frequently, but with lower variance. - oneOf: - - type: string - enum: [auto] - - type: integer - minimum: 1 - maximum: 256 - default: auto - learning_rate_multiplier: - description: | - Scaling factor for the learning rate. A smaller learning rate may be useful to avoid - overfitting. - oneOf: - - type: string - enum: [auto] - - type: number - minimum: 0 - exclusiveMinimum: true - default: auto - n_epochs: - description: | - The number of epochs to train the model for. An epoch refers to one full cycle - through the training dataset. - oneOf: - - type: string - enum: [auto] - - type: integer - minimum: 1 - maximum: 50 - default: auto - suffix: - description: | - A string of up to 18 characters that will be added to your fine-tuned model name. - - For example, a `suffix` of "custom-model-name" would produce a model name like `ft:gpt-3.5-turbo:openai:custom-model-name:7p4lURel`. - type: string - minLength: 1 - maxLength: 40 - default: null - nullable: true - validation_file: - description: | - The ID of an uploaded file that contains validation data. - - If you provide this file, the data is used to generate validation - metrics periodically during fine-tuning. These metrics can be viewed in - the fine-tuning results file. - The same data should not be present in both train and validation files. - - Your dataset must be formatted as a JSONL file. You must upload your file with the purpose `fine-tune`. - - See the [fine-tuning guide](/docs/guides/fine-tuning) for more details. - type: string - nullable: true - example: "file-abc123" - integrations: - type: array - description: A list of integrations to enable for your fine-tuning job. - nullable: true - items: - type: object - required: - - type - - wandb - properties: - type: - description: | - The type of integration to enable. Currently, only "wandb" (Weights and Biases) is supported. - oneOf: - - type: string - enum: [wandb] - wandb: - type: object - description: | - The settings for your integration with Weights and Biases. This payload specifies the project that - metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags - to your run, and set a default entity (team, username, etc) to be associated with your run. - required: - - project - properties: - project: - description: | - The name of the project that the new run will be created under. + required: + - object + - id + - deleted + + ProjectApiKey: + type: object + description: Represents an individual API key in a project. + properties: + object: type: string - example: "my-wandb-project" - name: - description: | - A display name to set for the run. If not set, we will use the Job ID as the name. - nullable: true + enum: [organization.project.api_key] + description: The object type, which is always `organization.project.api_key` + redacted_value: type: string - entity: - description: | - The entity to use for the run. This allows you to set the team or username of the WandB user that you would - like associated with the run. If not set, the default entity for the registered WandB API key is used. - nullable: true + description: The redacted value of the API key + name: type: string - tags: - description: | - A list of tags to be attached to the newly created run. These tags are passed through directly to WandB. Some - default tags are generated by OpenAI: "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}". + description: The name of the API key + created_at: + type: integer + description: The Unix timestamp (in seconds) of when the API key was created + id: + type: string + description: The identifier, which can be referenced in API endpoints + owner: + type: object + properties: + type: + type: string + enum: [user, service_account] + description: "`user` or `service_account`" + user: + $ref: '#/components/schemas/ProjectUser' + service_account: + $ref: '#/components/schemas/ProjectServiceAccount' + required: + - object + - redacted_value + - name + - created_at + - id + - owner + x-oaiMeta: + name: The project API key object + example: | + { + "object": "organization.project.api_key", + "redacted_value": "sk-abc...def", + "name": "My API Key", + "created_at": 1711471533, + "id": "key_abc", + "owner": { + "type": "user", + "user": { + "object": "organization.project.user", + "id": "user_abc", + "name": "First Last", + "email": "user@example.com", + "role": "owner", + "added_at": 1711471533 + } + } + } + + ProjectApiKeyListResponse: + type: object + properties: + object: + type: string + enum: [list] + data: type: array items: - type: string - example: "custom-tag" + $ref: '#/components/schemas/ProjectApiKey' + first_id: + type: string + last_id: + type: string + has_more: + type: boolean + required: + - object + - data + - first_id + - last_id + - has_more - seed: - description: | - The seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases. - If a seed is not specified, one will be generated for you. - type: integer - nullable: true - minimum: 0 - maximum: 2147483647 - example: 42 - required: - - model - - training_file - - ListFineTuningJobEventsResponse: - type: object - properties: - data: - type: array - items: - $ref: "#/components/schemas/FineTuningJobEvent" - object: - type: string - enum: [list] - required: - - object - - data - - ListFineTuningJobCheckpointsResponse: - type: object - properties: - data: - type: array - items: - $ref: "#/components/schemas/FineTuningJobCheckpoint" - object: - type: string - enum: [list] - first_id: - type: string - nullable: true - last_id: - type: string - nullable: true - has_more: - type: boolean - required: - - object - - data - - has_more - - CreateEmbeddingRequest: - type: object - additionalProperties: false - properties: - input: - description: | - Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048 dimensions or less. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens. - example: "The quick brown fox jumped over the lazy dog" - oneOf: - - type: string - title: string - description: The string that will be turned into an embedding. - default: "" - example: "This is a test." - - type: array - title: array - description: The array of strings that will be turned into an embedding. - minItems: 1 - maxItems: 2048 - items: - type: string - default: "" - example: "['This is a test.']" - - type: array - title: array - description: The array of integers that will be turned into an embedding. - minItems: 1 - maxItems: 2048 - items: - type: integer - example: "[1212, 318, 257, 1332, 13]" - - type: array - title: array - description: The array of arrays containing integers that will be turned into an embedding. - minItems: 1 - maxItems: 2048 - items: - type: array - minItems: 1 - items: - type: integer - example: "[[1212, 318, 257, 1332, 13]]" - x-oaiExpandable: true - model: - description: *model_description - example: "text-embedding-3-small" - anyOf: - - type: string - - type: string - enum: - [ - "text-embedding-ada-002", - "text-embedding-3-small", - "text-embedding-3-large", - ] - x-oaiTypeLabel: string - encoding_format: - description: "The format to return the embeddings in. Can be either `float` or [`base64`](https://pypi.org/project/pybase64/)." - example: "float" - default: "float" - type: string - enum: ["float", "base64"] - dimensions: - description: | - The number of dimensions the resulting output embeddings should have. Only supported in `text-embedding-3` and later models. - type: integer - minimum: 1 - user: *end_user_param_configuration - required: - - model - - input - - CreateEmbeddingResponse: - type: object - properties: - data: - type: array - description: The list of embeddings generated by the model. - items: - $ref: "#/components/schemas/Embedding" - model: - type: string - description: The name of the model used to generate the embedding. - object: - type: string - description: The object type, which is always "list". - enum: [list] - usage: - type: object - description: The usage information for the request. - properties: - prompt_tokens: - type: integer - description: The number of tokens used by the prompt. - total_tokens: - type: integer - description: The total number of tokens used by the request. - required: - - prompt_tokens - - total_tokens - required: - - object - - model - - data - - usage - - CreateTranscriptionRequest: - type: object - additionalProperties: false - properties: - file: - description: | - The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. - type: string - x-oaiTypeLabel: file - format: binary - model: - description: | - ID of the model to use. Only `whisper-1` (which is powered by our open source Whisper V2 model) is currently available. - example: whisper-1 - anyOf: - - type: string - - type: string - enum: ["whisper-1"] - x-oaiTypeLabel: string - language: - description: | - The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency. - type: string - prompt: - description: | - An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language. - type: string - response_format: - description: | - The format of the transcript output, in one of these options: `json`, `text`, `srt`, `verbose_json`, or `vtt`. - type: string - enum: - - json - - text - - srt - - verbose_json - - vtt - default: json - temperature: - description: | - The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - type: number - default: 0 - timestamp_granularities[]: - description: | - The timestamp granularities to populate for this transcription. `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency. - type: array - items: - type: string - enum: - - word - - segment - default: [segment] - required: - - file - - model - - # Note: This does not currently support the non-default response format types. - CreateTranscriptionResponseJson: - type: object - description: Represents a transcription response returned by model, based on the provided input. - properties: - text: - type: string - description: The transcribed text. - required: - - text - x-oaiMeta: - name: The transcription object - group: audio - example: *basic_transcription_response_example - - TranscriptionSegment: - type: object - properties: - id: - type: integer - description: Unique identifier of the segment. - seek: - type: integer - description: Seek offset of the segment. - start: - type: number - format: float - description: Start time of the segment in seconds. - end: - type: number - format: float - description: End time of the segment in seconds. - text: - type: string - description: Text content of the segment. - tokens: - type: array - items: - type: integer - description: Array of token IDs for the text content. - temperature: - type: number - format: float - description: Temperature parameter used for generating the segment. - avg_logprob: - type: number - format: float - description: Average logprob of the segment. If the value is lower than -1, consider the logprobs failed. - compression_ratio: - type: number - format: float - description: Compression ratio of the segment. If the value is greater than 2.4, consider the compression failed. - no_speech_prob: - type: number - format: float - description: Probability of no speech in the segment. If the value is higher than 1.0 and the `avg_logprob` is below -1, consider this segment silent. - required: - - id - - seek - - start - - end - - text - - tokens - - temperature - - avg_logprob - - compression_ratio - - no_speech_prob - - TranscriptionWord: - type: object - properties: - word: - type: string - description: The text content of the word. - start: - type: number - format: float - description: Start time of the word in seconds. - end: - type: number - format: float - description: End time of the word in seconds. - required: [word, start, end] - - CreateTranscriptionResponseVerboseJson: - type: object - description: Represents a verbose json transcription response returned by model, based on the provided input. - properties: - language: - type: string - description: The language of the input audio. - duration: - type: string - description: The duration of the input audio. - text: - type: string - description: The transcribed text. - words: - type: array - description: Extracted words and their corresponding timestamps. - items: - $ref: "#/components/schemas/TranscriptionWord" - segments: - type: array - description: Segments of the transcribed text and their corresponding details. - items: - $ref: "#/components/schemas/TranscriptionSegment" - required: [language, duration, text] - x-oaiMeta: - name: The transcription object - group: audio - example: *verbose_transcription_response_example - - CreateTranslationRequest: - type: object - additionalProperties: false - properties: - file: - description: | - The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. - type: string - x-oaiTypeLabel: file - format: binary - model: + ProjectApiKeyDeleteResponse: + type: object + properties: + object: + type: string + enum: [organization.project.api_key.deleted] + id: + type: string + deleted: + type: boolean + required: + - object + - id + - deleted + +security: + - ApiKeyAuth: [] + +x-oaiMeta: + navigationGroups: + - id: endpoints + title: Endpoints + - id: assistants + title: Assistants + - id: administration + title: Administration + - id: legacy + title: Legacy + groups: + # > General Notes + # The `groups` section is used to generate the API reference pages and navigation, in the same + # order listed below. Additionally, each `group` can have a list of `sections`, each of which + # will become a navigation subroute and subsection under the group. Each section has: + # - `type`: Currently, either an `endpoint` or `object`, depending on how the section needs to + # be rendered + # - `key`: The reference key that can be used to lookup the section definition + # - `path`: The path (url) of the section, which is used to generate the navigation link. + # + # > The `object` sections maps to a schema component and the following fields are read for rendering + # - `x-oaiMeta.name`: The name of the object, which will become the section title + # - `x-oaiMeta.example`: The example object, which will be used to generate the example sample (always JSON) + # - `description`: The description of the object, which will be used to generate the section description + # + # > The `endpoint` section maps to an operation path and the following fields are read for rendering: + # - `x-oaiMeta.name`: The name of the endpoint, which will become the section title + # - `x-oaiMeta.examples`: The endpoint examples, which can be an object (meaning a single variation, most + # endpoints, or an array of objects, meaning multiple variations, e.g. the + # chat completion and completion endpoints, with streamed and non-streamed examples. + # - `x-oaiMeta.returns`: text describing what the endpoint returns. + # - `summary`: The summary of the endpoint, which will be used to generate the section description + - id: audio + title: Audio description: | - ID of the model to use. Only `whisper-1` (which is powered by our open source Whisper V2 model) is currently available. - example: whisper-1 - anyOf: - - type: string - - type: string - enum: ["whisper-1"] - x-oaiTypeLabel: string - prompt: + Learn how to turn audio into text or text into audio. + + Related guide: [Speech to text](/docs/guides/speech-to-text) + navigationGroup: endpoints + sections: + - type: endpoint + key: createSpeech + path: createSpeech + - type: endpoint + key: createTranscription + path: createTranscription + - type: endpoint + key: createTranslation + path: createTranslation + - type: object + key: CreateTranscriptionResponseJson + path: json-object + - type: object + key: CreateTranscriptionResponseVerboseJson + path: verbose-json-object + - id: chat + title: Chat description: | - An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English. - type: string - response_format: + Given a list of messages comprising a conversation, the model will return a response. + + Related guide: [Chat Completions](/docs/guides/text-generation) + navigationGroup: endpoints + sections: + - type: endpoint + key: createChatCompletion + path: create + - type: object + key: CreateChatCompletionResponse + path: object + - type: object + key: CreateChatCompletionStreamResponse + path: streaming + - id: embeddings + title: Embeddings description: | - The format of the transcript output, in one of these options: `json`, `text`, `srt`, `verbose_json`, or `vtt`. - type: string - default: json - temperature: + Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. + + Related guide: [Embeddings](/docs/guides/embeddings) + navigationGroup: endpoints + sections: + - type: endpoint + key: createEmbedding + path: create + - type: object + key: Embedding + path: object + - id: fine-tuning + title: Fine-tuning description: | - The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. - type: number - default: 0 - required: - - file - - model - - # Note: This does not currently support the non-default response format types. - CreateTranslationResponseJson: - type: object - properties: - text: - type: string - required: - - text - - CreateTranslationResponseVerboseJson: - type: object - properties: - language: - type: string - description: The language of the output translation (always `english`). - duration: - type: string - description: The duration of the input audio. - text: - type: string - description: The translated text. - segments: - type: array - description: Segments of the translated text and their corresponding details. - items: - $ref: "#/components/schemas/TranscriptionSegment" - required: [language, duration, text] - - CreateSpeechRequest: - type: object - additionalProperties: false - properties: - model: + Manage fine-tuning jobs to tailor a model to your specific training data. + + Related guide: [Fine-tune models](/docs/guides/fine-tuning) + navigationGroup: endpoints + sections: + - type: endpoint + key: createFineTuningJob + path: create + - type: endpoint + key: listPaginatedFineTuningJobs + path: list + - type: endpoint + key: listFineTuningEvents + path: list-events + - type: endpoint + key: listFineTuningJobCheckpoints + path: list-checkpoints + - type: endpoint + key: retrieveFineTuningJob + path: retrieve + - type: endpoint + key: cancelFineTuningJob + path: cancel + - type: object + key: FinetuneChatRequestInput + path: chat-input + - type: object + key: FinetuneCompletionRequestInput + path: completions-input + - type: object + key: FineTuningJob + path: object + - type: object + key: FineTuningJobEvent + path: event-object + - type: object + key: FineTuningJobCheckpoint + path: checkpoint-object + - id: batch + title: Batch description: | - One of the available [TTS models](/docs/models/tts): `tts-1` or `tts-1-hd` - anyOf: - - type: string - - type: string - enum: ["tts-1", "tts-1-hd"] - x-oaiTypeLabel: string - input: - type: string - description: The text to generate audio for. The maximum length is 4096 characters. - maxLength: 4096 - voice: - description: The voice to use when generating the audio. Supported voices are `alloy`, `echo`, `fable`, `onyx`, `nova`, and `shimmer`. Previews of the voices are available in the [Text to speech guide](/docs/guides/text-to-speech/voice-options). - type: string - enum: ["alloy", "echo", "fable", "onyx", "nova", "shimmer"] - response_format: - description: "The format to audio in. Supported formats are `mp3`, `opus`, `aac`, `flac`, `wav`, and `pcm`." - default: "mp3" - type: string - enum: ["mp3", "opus", "aac", "flac", "wav", "pcm"] - speed: - description: "The speed of the generated audio. Select a value from `0.25` to `4.0`. `1.0` is the default." - type: number - default: 1.0 - minimum: 0.25 - maximum: 4.0 - required: - - model - - input - - voice - - Model: - title: Model - description: Describes an OpenAI model offering that can be used with the API. - properties: - id: - type: string - description: The model identifier, which can be referenced in the API endpoints. - created: - type: integer - description: The Unix timestamp (in seconds) when the model was created. - object: - type: string - description: The object type, which is always "model". - enum: [model] - owned_by: - type: string - description: The organization that owns the model. - required: - - id - - object - - created - - owned_by - x-oaiMeta: - name: The model object - example: *retrieve_model_response - - OpenAIFile: - title: OpenAIFile - description: The `File` object represents a document that has been uploaded to OpenAI. - properties: - id: - type: string - description: The file identifier, which can be referenced in the API endpoints. - bytes: - type: integer - description: The size of the file, in bytes. - created_at: - type: integer - description: The Unix timestamp (in seconds) for when the file was created. - filename: - type: string - description: The name of the file. - object: - type: string - description: The object type, which is always `file`. - enum: ["file"] - purpose: - type: string - description: The intended purpose of the file. Supported values are `assistants`, `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results` and `vision`. - enum: - [ - "assistants", - "assistants_output", - "batch", - "batch_output", - "fine-tune", - "fine-tune-results", - "vision" - ] - status: - type: string - deprecated: true - description: Deprecated. The current status of the file, which can be either `uploaded`, `processed`, or `error`. - enum: ["uploaded", "processed", "error"] - status_details: - type: string - deprecated: true - description: Deprecated. For details on why a fine-tuning training file failed validation, see the `error` field on `fine_tuning.job`. - required: - - id - - object - - bytes - - created_at - - filename - - purpose - - status - x-oaiMeta: - name: The file object - example: | - { - "id": "file-abc123", - "object": "file", - "bytes": 120000, - "created_at": 1677610602, - "filename": "salesOverview.pdf", - "purpose": "assistants", - } - Embedding: - type: object - description: | - Represents an embedding vector returned by embedding endpoint. - properties: - index: - type: integer - description: The index of the embedding in the list of embeddings. - embedding: - type: array + Create large batches of API requests for asynchronous processing. The Batch API returns completions within 24 hours for a 50% discount. + + Related guide: [Batch](/docs/guides/batch) + navigationGroup: endpoints + sections: + - type: endpoint + key: createBatch + path: create + - type: endpoint + key: retrieveBatch + path: retrieve + - type: endpoint + key: cancelBatch + path: cancel + - type: endpoint + key: listBatches + path: list + - type: object + key: Batch + path: object + - type: object + key: BatchRequestInput + path: request-input + - type: object + key: BatchRequestOutput + path: request-output + - id: files + title: Files description: | - The embedding vector, which is a list of floats. The length of vector depends on the model as listed in the [embedding guide](/docs/guides/embeddings). - items: - type: number - object: - type: string - description: The object type, which is always "embedding". - enum: [embedding] - required: - - index - - object - - embedding - x-oaiMeta: - name: The embedding object - example: | - { - "object": "embedding", - "embedding": [ - 0.0023064255, - -0.009327292, - .... (1536 floats total for ada-002) - -0.0028842222, - ], - "index": 0 - } - - FineTuningJob: - type: object - title: FineTuningJob - description: | - The `fine_tuning.job` object represents a fine-tuning job that has been created through the API. - properties: - id: - type: string - description: The object identifier, which can be referenced in the API endpoints. - created_at: - type: integer - description: The Unix timestamp (in seconds) for when the fine-tuning job was created. - error: - type: object - nullable: true - description: For fine-tuning jobs that have `failed`, this will contain more information on the cause of the failure. - properties: - code: - type: string - description: A machine-readable error code. - message: - type: string - description: A human-readable error message. - param: - type: string - description: The parameter that was invalid, usually `training_file` or `validation_file`. This field will be null if the failure was not parameter-specific. - nullable: true - required: - - code - - message - - param - fine_tuned_model: - type: string - nullable: true - description: The name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running. - finished_at: - type: integer - nullable: true - description: The Unix timestamp (in seconds) for when the fine-tuning job was finished. The value will be null if the fine-tuning job is still running. - hyperparameters: - type: object - description: The hyperparameters used for the fine-tuning job. See the [fine-tuning guide](/docs/guides/fine-tuning) for more details. - properties: - n_epochs: - oneOf: - - type: string - enum: [auto] - - type: integer - minimum: 1 - maximum: 50 - default: auto - description: - The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset. - - "auto" decides the optimal number of epochs based on the size of the dataset. If setting the number manually, we support any number between 1 and 50 epochs. - required: - - n_epochs - model: - type: string - description: The base model that is being fine-tuned. - object: - type: string - description: The object type, which is always "fine_tuning.job". - enum: [fine_tuning.job] - organization_id: - type: string - description: The organization that owns the fine-tuning job. - result_files: - type: array - description: The compiled results file ID(s) for the fine-tuning job. You can retrieve the results with the [Files API](/docs/api-reference/files/retrieve-contents). - items: - type: string - example: file-abc123 - status: - type: string - description: The current status of the fine-tuning job, which can be either `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`. - enum: - [ - "validating_files", - "queued", - "running", - "succeeded", - "failed", - "cancelled", - ] - trained_tokens: - type: integer - nullable: true - description: The total number of billable tokens processed by this fine-tuning job. The value will be null if the fine-tuning job is still running. - training_file: - type: string - description: The file ID used for training. You can retrieve the training data with the [Files API](/docs/api-reference/files/retrieve-contents). - validation_file: - type: string - nullable: true - description: The file ID used for validation. You can retrieve the validation results with the [Files API](/docs/api-reference/files/retrieve-contents). - integrations: - type: array - nullable: true - description: A list of integrations to enable for this fine-tuning job. - maxItems: 5 - items: - oneOf: - - $ref: "#/components/schemas/FineTuningIntegration" - x-oaiExpandable: true - seed: - type: integer - description: The seed used for the fine-tuning job. - estimated_finish: - type: integer - nullable: true - description: The Unix timestamp (in seconds) for when the fine-tuning job is estimated to finish. The value will be null if the fine-tuning job is not running. - required: - - created_at - - error - - finished_at - - fine_tuned_model - - hyperparameters - - id - - model - - object - - organization_id - - result_files - - status - - trained_tokens - - training_file - - validation_file - - seed - x-oaiMeta: - name: The fine-tuning job object - example: *fine_tuning_example - - FineTuningIntegration: - type: object - title: Fine-Tuning Job Integration - required: - - type - - wandb - properties: - type: - type: string - description: "The type of the integration being enabled for the fine-tuning job" - enum: ["wandb"] - wandb: - type: object + Files are used to upload documents that can be used with features like [Assistants](/docs/api-reference/assistants), [Fine-tuning](/docs/api-reference/fine-tuning), and [Batch API](/docs/guides/batch). + navigationGroup: endpoints + sections: + - type: endpoint + key: createFile + path: create + - type: endpoint + key: listFiles + path: list + - type: endpoint + key: retrieveFile + path: retrieve + - type: endpoint + key: deleteFile + path: delete + - type: endpoint + key: downloadFile + path: retrieve-contents + - type: object + key: OpenAIFile + path: object + - id: uploads + title: Uploads description: | - The settings for your integration with Weights and Biases. This payload specifies the project that - metrics will be sent to. Optionally, you can set an explicit display name for your run, add tags - to your run, and set a default entity (team, username, etc) to be associated with your run. - required: - - project - properties: - project: - description: | - The name of the project that the new run will be created under. - type: string - example: "my-wandb-project" - name: - description: | - A display name to set for the run. If not set, we will use the Job ID as the name. - nullable: true - type: string - entity: - description: | - The entity to use for the run. This allows you to set the team or username of the WandB user that you would - like associated with the run. If not set, the default entity for the registered WandB API key is used. - nullable: true - type: string - tags: - description: | - A list of tags to be attached to the newly created run. These tags are passed through directly to WandB. Some - default tags are generated by OpenAI: "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}". - type: array - items: - type: string - example: "custom-tag" - - FineTuningJobEvent: - type: object - description: Fine-tuning job event object - properties: - id: - type: string - created_at: - type: integer - level: - type: string - enum: ["info", "warn", "error"] - message: - type: string - object: - type: string - enum: [fine_tuning.job.event] - required: - - id - - object - - created_at - - level - - message - x-oaiMeta: - name: The fine-tuning job event object - example: | - { - "object": "fine_tuning.job.event", - "id": "ftevent-abc123" - "created_at": 1677610602, - "level": "info", - "message": "Created fine-tuning job" - } - - FineTuningJobCheckpoint: - type: object - title: FineTuningJobCheckpoint - description: | - The `fine_tuning.job.checkpoint` object represents a model checkpoint for a fine-tuning job that is ready to use. - properties: - id: - type: string - description: The checkpoint identifier, which can be referenced in the API endpoints. - created_at: - type: integer - description: The Unix timestamp (in seconds) for when the checkpoint was created. - fine_tuned_model_checkpoint: - type: string - description: The name of the fine-tuned checkpoint model that is created. - step_number: - type: integer - description: The step number that the checkpoint was created at. - metrics: - type: object - description: Metrics at the step number during the fine-tuning job. - properties: - step: - type: number - train_loss: - type: number - train_mean_token_accuracy: - type: number - valid_loss: - type: number - valid_mean_token_accuracy: - type: number - full_valid_loss: - type: number - full_valid_mean_token_accuracy: - type: number - fine_tuning_job_id: - type: string - description: The name of the fine-tuning job that this checkpoint was created from. - object: - type: string - description: The object type, which is always "fine_tuning.job.checkpoint". - enum: [fine_tuning.job.checkpoint] - required: - - created_at - - fine_tuning_job_id - - fine_tuned_model_checkpoint - - id - - metrics - - object - - step_number - x-oaiMeta: - name: The fine-tuning job checkpoint object - example: | - { - "object": "fine_tuning.job.checkpoint", - "id": "ftckpt_qtZ5Gyk4BLq1SfLFWp3RtO3P", - "created_at": 1712211699, - "fine_tuned_model_checkpoint": "ft:gpt-3.5-turbo-0125:my-org:custom_suffix:9ABel2dg:ckpt-step-88", - "fine_tuning_job_id": "ftjob-fpbNQ3H1GrMehXRf8cO97xTN", - "metrics": { - "step": 88, - "train_loss": 0.478, - "train_mean_token_accuracy": 0.924, - "valid_loss": 10.112, - "valid_mean_token_accuracy": 0.145, - "full_valid_loss": 0.567, - "full_valid_mean_token_accuracy": 0.944 - }, - "step_number": 88 - } - - CompletionUsage: - type: object - description: Usage statistics for the completion request. - properties: - completion_tokens: - type: integer - description: Number of tokens in the generated completion. - prompt_tokens: - type: integer - description: Number of tokens in the prompt. - total_tokens: - type: integer - description: Total number of tokens used in the request (prompt + completion). - required: - - prompt_tokens - - completion_tokens - - total_tokens - - RunCompletionUsage: - type: object - description: Usage statistics related to the run. This value will be `null` if the run is not in a terminal state (i.e. `in_progress`, `queued`, etc.). - properties: - completion_tokens: - type: integer - description: Number of completion tokens used over the course of the run. - prompt_tokens: - type: integer - description: Number of prompt tokens used over the course of the run. - total_tokens: - type: integer - description: Total number of tokens used (prompt + completion). - required: - - prompt_tokens - - completion_tokens - - total_tokens - nullable: true - - RunStepCompletionUsage: - type: object - description: Usage statistics related to the run step. This value will be `null` while the run step's status is `in_progress`. - properties: - completion_tokens: - type: integer - description: Number of completion tokens used over the course of the run step. - prompt_tokens: - type: integer - description: Number of prompt tokens used over the course of the run step. - total_tokens: - type: integer - description: Total number of tokens used (prompt + completion). - required: - - prompt_tokens - - completion_tokens - - total_tokens - nullable: true - - AssistantsApiResponseFormatOption: - description: | - Specifies the format that the model must output. Compatible with [GPT-4o](/docs/models/gpt-4o), [GPT-4 Turbo](/docs/models/gpt-4-turbo-and-gpt-4), and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. - - Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is valid JSON. - - **Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length. - oneOf: - - type: string - description: > - `auto` is the default value - enum: [none, auto] - - $ref: "#/components/schemas/AssistantsApiResponseFormat" - x-oaiExpandable: true - - AssistantsApiResponseFormat: - type: object - description: | - An object describing the expected output of the model. If `json_object` only `function` type `tools` are allowed to be passed to the Run. If `text` the model can return text or any value needed. - properties: - type: - type: string - enum: ["text", "json_object"] - example: "json_object" - default: "text" - description: Must be one of `text` or `json_object`. - - AssistantObject: - type: object - title: Assistant - description: Represents an `assistant` that can call the model and use tools. - properties: - id: - description: The identifier, which can be referenced in API endpoints. - type: string - object: - description: The object type, which is always `assistant`. - type: string - enum: [assistant] - created_at: - description: The Unix timestamp (in seconds) for when the assistant was created. - type: integer - name: - description: &assistant_name_param_description | - The name of the assistant. The maximum length is 256 characters. - type: string - maxLength: 256 - nullable: true - description: - description: &assistant_description_param_description | - The description of the assistant. The maximum length is 512 characters. - type: string - maxLength: 512 - nullable: true - model: - description: *model_description - type: string - instructions: - description: &assistant_instructions_param_description | - The system instructions that the assistant uses. The maximum length is 256,000 characters. - type: string - maxLength: 256000 - nullable: true - tools: - description: &assistant_tools_param_description | - A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`. - default: [] - type: array - maxItems: 128 - items: - oneOf: - - $ref: "#/components/schemas/AssistantToolsCode" - - $ref: "#/components/schemas/AssistantToolsFileSearch" - - $ref: "#/components/schemas/AssistantToolsFunction" - x-oaiExpandable: true - tool_resources: - type: object + Allows you to upload large files in multiple parts. + navigationGroup: endpoints + sections: + - type: endpoint + key: createUpload + path: create + - type: endpoint + key: addUploadPart + path: add-part + - type: endpoint + key: completeUpload + path: complete + - type: endpoint + key: cancelUpload + path: cancel + - type: object + key: Upload + path: object + - type: object + key: UploadPart + path: part-object + - id: images + title: Images description: | - A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. - properties: - code_interpreter: - type: object - properties: - file_ids: - type: array - description: | - A list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter`` tool. There can be a maximum of 20 files associated with the tool. - default: [] - maxItems: 20 - items: - type: string - file_search: - type: object - properties: - vector_store_ids: - type: array - description: | - The ID of the [vector store](/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. - maxItems: 1 - items: - type: string - nullable: true - metadata: - description: &metadata_description | - Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long. - type: object - x-oaiTypeLabel: map - nullable: true - temperature: - description: &run_temperature_description | - What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - type: number - minimum: 0 - maximum: 2 - default: 1 - example: 1 - nullable: true - top_p: - type: number - minimum: 0 - maximum: 1 - default: 1 - example: 1 - nullable: true - description: &run_top_p_description | - An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. - - We generally recommend altering this or temperature but not both. - response_format: - $ref: "#/components/schemas/AssistantsApiResponseFormatOption" - nullable: true - required: - - id - - object - - created_at - - name - - description - - model - - instructions - - tools - - metadata - x-oaiMeta: - name: The assistant object - beta: true - example: *create_assistants_example - - CreateAssistantRequest: - type: object - additionalProperties: false - properties: - model: - description: *model_description - example: "gpt-4-turbo" - anyOf: - - type: string - - type: string - enum: - [ - "gpt-4o", - "gpt-4o-2024-05-13", - "gpt-4-turbo", - "gpt-4-turbo-2024-04-09", - "gpt-4-0125-preview", - "gpt-4-turbo-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-4", - "gpt-4-0314", - "gpt-4-0613", - "gpt-4-32k", - "gpt-4-32k-0314", - "gpt-4-32k-0613", - "gpt-3.5-turbo", - "gpt-3.5-turbo-16k", - "gpt-3.5-turbo-0613", - "gpt-3.5-turbo-1106", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-16k-0613", - ] - x-oaiTypeLabel: string - name: - description: *assistant_name_param_description - type: string - nullable: true - maxLength: 256 - description: - description: *assistant_description_param_description - type: string - nullable: true - maxLength: 512 - instructions: - description: *assistant_instructions_param_description - type: string - nullable: true - maxLength: 256000 - tools: - description: *assistant_tools_param_description - default: [] - type: array - maxItems: 128 - items: - oneOf: - - $ref: "#/components/schemas/AssistantToolsCode" - - $ref: "#/components/schemas/AssistantToolsFileSearch" - - $ref: "#/components/schemas/AssistantToolsFunction" - x-oaiExpandable: true - tool_resources: - type: object + Given a prompt and/or an input image, the model will generate a new image. + + Related guide: [Image generation](/docs/guides/images) + navigationGroup: endpoints + sections: + - type: endpoint + key: createImage + path: create + - type: endpoint + key: createImageEdit + path: createEdit + - type: endpoint + key: createImageVariation + path: createVariation + - type: object + key: Image + path: object + - id: models + title: Models description: | - A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. - properties: - code_interpreter: - type: object - properties: - file_ids: - type: array - description: | - A list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. - default: [] - maxItems: 20 - items: - type: string - file_search: - type: object - properties: - vector_store_ids: - type: array - description: | - The [vector store](/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. - maxItems: 1 - items: - type: string - vector_stores: - type: array - description: | - A helper to create a [vector store](/docs/api-reference/vector-stores/object) with file_ids and attach it to this assistant. There can be a maximum of 1 vector store attached to the assistant. - maxItems: 1 - items: - type: object - properties: - file_ids: - type: array - description: | - A list of [file](/docs/api-reference/files) IDs to add to the vector store. There can be a maximum of 10000 files in a vector store. - maxItems: 10000 - items: - type: string - metadata: - type: object - description: | - Set of 16 key-value pairs that can be attached to a vector store. This can be useful for storing additional information about the vector store in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long. - x-oaiTypeLabel: map - oneOf: - - required: [vector_store_ids] - - required: [vector_stores] - nullable: true - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - temperature: - description: &run_temperature_description | - What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. - type: number - minimum: 0 - maximum: 2 - default: 1 - example: 1 - nullable: true - top_p: - type: number - minimum: 0 - maximum: 1 - default: 1 - example: 1 - nullable: true - description: &run_top_p_description | - An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. - - We generally recommend altering this or temperature but not both. - response_format: - $ref: "#/components/schemas/AssistantsApiResponseFormatOption" - nullable: true - required: - - model - - ModifyAssistantRequest: - type: object - additionalProperties: false - properties: - model: - description: *model_description - anyOf: - - type: string - name: - description: *assistant_name_param_description - type: string - nullable: true - maxLength: 256 - description: - description: *assistant_description_param_description - type: string - nullable: true - maxLength: 512 - instructions: - description: *assistant_instructions_param_description - type: string - nullable: true - maxLength: 256000 - tools: - description: *assistant_tools_param_description - default: [] - type: array - maxItems: 128 - items: - oneOf: - - $ref: "#/components/schemas/AssistantToolsCode" - - $ref: "#/components/schemas/AssistantToolsFileSearch" - - $ref: "#/components/schemas/AssistantToolsFunction" - x-oaiExpandable: true - tool_resources: - type: object + List and describe the various models available in the API. You can refer to the [Models](/docs/models) documentation to understand what models are available and the differences between them. + navigationGroup: endpoints + sections: + - type: endpoint + key: listModels + path: list + - type: endpoint + key: retrieveModel + path: retrieve + - type: endpoint + key: deleteModel + path: delete + - type: object + key: Model + path: object + - id: moderations + title: Moderations description: | - A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. - properties: - code_interpreter: - type: object - properties: - file_ids: - type: array - description: | - Overrides the list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. - default: [] - maxItems: 20 - items: - type: string - file_search: - type: object - properties: - vector_store_ids: - type: array - description: | - Overrides the [vector store](/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. - maxItems: 1 - items: - type: string - nullable: true - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - temperature: - description: *run_temperature_description - type: number - minimum: 0 - maximum: 2 - default: 1 - example: 1 - nullable: true - top_p: - type: number - minimum: 0 - maximum: 1 - default: 1 - example: 1 - nullable: true - description: &run_top_p_description | - An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. - - We generally recommend altering this or temperature but not both. - response_format: - $ref: "#/components/schemas/AssistantsApiResponseFormatOption" - nullable: true - - DeleteAssistantResponse: - type: object - properties: - id: - type: string - deleted: - type: boolean - object: - type: string - enum: [assistant.deleted] - required: - - id - - object - - deleted - - ListAssistantsResponse: - type: object - properties: - object: - type: string - example: "list" - data: - type: array - items: - $ref: "#/components/schemas/AssistantObject" - first_id: - type: string - example: "asst_abc123" - last_id: - type: string - example: "asst_abc456" - has_more: - type: boolean - example: false - required: - - object - - data - - first_id - - last_id - - has_more - x-oaiMeta: - name: List assistants response object - group: chat - example: *list_assistants_example - - AssistantToolsCode: - type: object - title: Code interpreter tool - properties: - type: - type: string - description: "The type of tool being defined: `code_interpreter`" - enum: ["code_interpreter"] - required: - - type - - AssistantToolsFileSearch: - type: object - title: FileSearch tool - properties: - type: - type: string - description: "The type of tool being defined: `file_search`" - enum: ["file_search"] - required: - - type - - AssistantToolsFunction: - type: object - title: Function tool - properties: - type: - type: string - description: "The type of tool being defined: `function`" - enum: ["function"] - function: - $ref: "#/components/schemas/FunctionObject" - required: - - type - - function - - TruncationObject: - type: object - title: Thread Truncation Controls - description: Controls for how a thread will be truncated prior to the run. Use this to control the intial context window of the run. - properties: - type: - type: string - description: The truncation strategy to use for the thread. The default is `auto`. If set to `last_messages`, the thread will be truncated to the n most recent messages in the thread. When set to `auto`, messages in the middle of the thread will be dropped to fit the context length of the model, `max_prompt_tokens`. - enum: ["auto", "last_messages"] - last_messages: - type: integer - description: The number of most recent messages from the thread when constructing the context for the run. - minimum: 1 - nullable: true - required: - - type - - AssistantsApiToolChoiceOption: - description: | - Controls which (if any) tool is called by the model. - `none` means the model will not call any tools and instead generates a message. - `auto` is the default value and means the model can pick between generating a message or calling one or more tools. - `required` means the model must call one or more tools before responding to the user. - Specifying a particular tool like `{"type": "file_search"}` or `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that tool. - - oneOf: - - type: string - description: > - `none` means the model will not call any tools and instead generates a message. - `auto` means the model can pick between generating a message or calling one or more tools. - `required` means the model must call one or more tools before responding to the user. - enum: [none, auto, required] - - $ref: "#/components/schemas/AssistantsNamedToolChoice" - x-oaiExpandable: true - - AssistantsNamedToolChoice: - type: object - description: Specifies a tool the model should use. Use to force the model to call a specific tool. - properties: - type: - type: string - enum: ["function", "code_interpreter", "file_search"] - description: The type of the tool. If type is `function`, the function name must be set - function: - type: object - properties: - name: - type: string - description: The name of the function to call. - required: - - name - required: - - type - - RunObject: - type: object - title: A run on a thread - description: Represents an execution run on a [thread](/docs/api-reference/threads). - properties: - id: - description: The identifier, which can be referenced in API endpoints. - type: string - object: - description: The object type, which is always `thread.run`. - type: string - enum: ["thread.run"] - created_at: - description: The Unix timestamp (in seconds) for when the run was created. - type: integer - thread_id: - description: The ID of the [thread](/docs/api-reference/threads) that was executed on as a part of this run. - type: string - assistant_id: - description: The ID of the [assistant](/docs/api-reference/assistants) used for execution of this run. - type: string - status: - description: The status of the run, which can be either `queued`, `in_progress`, `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, `incomplete`, or `expired`. - type: string - enum: - [ - "queued", - "in_progress", - "requires_action", - "cancelling", - "cancelled", - "failed", - "completed", - "incomplete", - "expired", - ] - required_action: - type: object - description: Details on the action required to continue the run. Will be `null` if no action is required. - nullable: true - properties: - type: - description: For now, this is always `submit_tool_outputs`. - type: string - enum: ["submit_tool_outputs"] - submit_tool_outputs: - type: object - description: Details on the tool outputs needed for this run to continue. - properties: - tool_calls: - type: array - description: A list of the relevant tool calls. - items: - $ref: "#/components/schemas/RunToolCallObject" - required: - - tool_calls - required: - - type - - submit_tool_outputs - last_error: - type: object - description: The last error associated with this run. Will be `null` if there are no errors. - nullable: true - properties: - code: - type: string - description: One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`. - enum: ["server_error", "rate_limit_exceeded", "invalid_prompt"] - message: - type: string - description: A human-readable description of the error. - required: - - code - - message - expires_at: - description: The Unix timestamp (in seconds) for when the run will expire. - type: integer - nullable: true - started_at: - description: The Unix timestamp (in seconds) for when the run was started. - type: integer - nullable: true - cancelled_at: - description: The Unix timestamp (in seconds) for when the run was cancelled. - type: integer - nullable: true - failed_at: - description: The Unix timestamp (in seconds) for when the run failed. - type: integer - nullable: true - completed_at: - description: The Unix timestamp (in seconds) for when the run was completed. - type: integer - nullable: true - incomplete_details: - description: Details on why the run is incomplete. Will be `null` if the run is not incomplete. - type: object - nullable: true - properties: - reason: - description: The reason why the run is incomplete. This will point to which specific token limit was reached over the course of the run. - type: string - enum: ["max_completion_tokens", "max_prompt_tokens"] - model: - description: The model that the [assistant](/docs/api-reference/assistants) used for this run. - type: string - instructions: - description: The instructions that the [assistant](/docs/api-reference/assistants) used for this run. - type: string - tools: - description: The list of tools that the [assistant](/docs/api-reference/assistants) used for this run. - default: [] - type: array - maxItems: 20 - items: - oneOf: - - $ref: "#/components/schemas/AssistantToolsCode" - - $ref: "#/components/schemas/AssistantToolsFileSearch" - - $ref: "#/components/schemas/AssistantToolsFunction" - x-oaiExpandable: true - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - usage: - $ref: "#/components/schemas/RunCompletionUsage" - temperature: - description: The sampling temperature used for this run. If not set, defaults to 1. - type: number - nullable: true - top_p: - description: The nucleus sampling value used for this run. If not set, defaults to 1. - type: number - nullable: true - max_prompt_tokens: - type: integer - nullable: true + Given some input text, outputs if the model classifies it as potentially harmful across several categories. + + Related guide: [Moderations](/docs/guides/moderation) + navigationGroup: endpoints + sections: + - type: endpoint + key: createModeration + path: create + - type: object + key: CreateModerationResponse + path: object + + + - id: assistants + title: Assistants + beta: true description: | - The maximum number of prompt tokens specified to have been used over the course of the run. - minimum: 256 - max_completion_tokens: - type: integer - nullable: true + Build assistants that can call models and use tools to perform tasks. + + [Get started with the Assistants API](/docs/assistants) + navigationGroup: assistants + sections: + - type: endpoint + key: createAssistant + path: createAssistant + - type: endpoint + key: listAssistants + path: listAssistants + - type: endpoint + key: getAssistant + path: getAssistant + - type: endpoint + key: modifyAssistant + path: modifyAssistant + - type: endpoint + key: deleteAssistant + path: deleteAssistant + - type: object + key: AssistantObject + path: object + - id: threads + title: Threads + beta: true description: | - The maximum number of completion tokens specified to have been used over the course of the run. - minimum: 256 - truncation_strategy: - $ref: "#/components/schemas/TruncationObject" - nullable: true - tool_choice: - $ref: "#/components/schemas/AssistantsApiToolChoiceOption" - nullable: true - response_format: - $ref: "#/components/schemas/AssistantsApiResponseFormatOption" - nullable: true - required: - - id - - object - - created_at - - thread_id - - assistant_id - - status - - required_action - - last_error - - expires_at - - started_at - - cancelled_at - - failed_at - - completed_at - - model - - instructions - - tools - - metadata - - usage - - incomplete_details - - max_prompt_tokens - - max_completion_tokens - - truncation_strategy - - tool_choice - - response_format - x-oaiMeta: - name: The run object - beta: true - example: | - { - "id": "run_abc123", - "object": "thread.run", - "created_at": 1698107661, - "assistant_id": "asst_abc123", - "thread_id": "thread_abc123", - "status": "completed", - "started_at": 1699073476, - "expires_at": null, - "cancelled_at": null, - "failed_at": null, - "completed_at": 1699073498, - "last_error": null, - "model": "gpt-4-turbo", - "instructions": null, - "tools": [{"type": "file_search"}, {"type": "code_interpreter"}], - "metadata": {}, - "incomplete_details": null, - "usage": { - "prompt_tokens": 123, - "completion_tokens": 456, - "total_tokens": 579 - }, - "temperature": 1.0, - "top_p": 1.0, - "max_prompt_tokens": 1000, - "max_completion_tokens": 1000, - "truncation_strategy": { - "type": "auto", - "last_messages": null - }, - "response_format": "auto", - "tool_choice": "auto" - } - CreateRunRequest: - type: object - additionalProperties: false - properties: - assistant_id: - description: The ID of the [assistant](/docs/api-reference/assistants) to use to execute this run. - type: string - model: - description: The ID of the [Model](/docs/api-reference/models) to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used. - example: "gpt-4-turbo" - anyOf: - - type: string - - type: string - enum: - [ - "gpt-4o", - "gpt-4o-2024-05-13", - "gpt-4-turbo", - "gpt-4-turbo-2024-04-09", - "gpt-4-0125-preview", - "gpt-4-turbo-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-4", - "gpt-4-0314", - "gpt-4-0613", - "gpt-4-32k", - "gpt-4-32k-0314", - "gpt-4-32k-0613", - "gpt-3.5-turbo", - "gpt-3.5-turbo-16k", - "gpt-3.5-turbo-0613", - "gpt-3.5-turbo-1106", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-16k-0613", - ] - x-oaiTypeLabel: string - nullable: true - instructions: - description: Overrides the [instructions](/docs/api-reference/assistants/createAssistant) of the assistant. This is useful for modifying the behavior on a per-run basis. - type: string - nullable: true - additional_instructions: - description: Appends additional instructions at the end of the instructions for the run. This is useful for modifying the behavior on a per-run basis without overriding other instructions. - type: string - nullable: true - additional_messages: - description: Adds additional messages to the thread before creating the run. - type: array - items: - $ref: "#/components/schemas/CreateMessageRequest" - nullable: true - tools: - description: Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis. - nullable: true - type: array - maxItems: 20 - items: - oneOf: - - $ref: "#/components/schemas/AssistantToolsCode" - - $ref: "#/components/schemas/AssistantToolsFileSearch" - - $ref: "#/components/schemas/AssistantToolsFunction" - x-oaiExpandable: true - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - temperature: - type: number - minimum: 0 - maximum: 2 - default: 1 - example: 1 - nullable: true - description: *run_temperature_description - top_p: - type: number - minimum: 0 - maximum: 1 - default: 1 - example: 1 - nullable: true - description: &run_top_p_description | - An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. - - We generally recommend altering this or temperature but not both. - stream: - type: boolean - nullable: true + Create threads that assistants can interact with. + + Related guide: [Assistants](/docs/assistants/overview) + navigationGroup: assistants + sections: + - type: endpoint + key: createThread + path: createThread + - type: endpoint + key: getThread + path: getThread + - type: endpoint + key: modifyThread + path: modifyThread + - type: endpoint + key: deleteThread + path: deleteThread + - type: object + key: ThreadObject + path: object + - id: messages + title: Messages + beta: true description: | - If `true`, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a `data: [DONE]` message. - max_prompt_tokens: - type: integer - nullable: true + Create messages within threads + + Related guide: [Assistants](/docs/assistants/overview) + navigationGroup: assistants + sections: + - type: endpoint + key: createMessage + path: createMessage + - type: endpoint + key: listMessages + path: listMessages + - type: endpoint + key: getMessage + path: getMessage + - type: endpoint + key: modifyMessage + path: modifyMessage + - type: endpoint + key: deleteMessage + path: deleteMessage + - type: object + key: MessageObject + path: object + - id: runs + title: Runs + beta: true description: | - The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info. - minimum: 256 - max_completion_tokens: - type: integer - nullable: true + Represents an execution run on a thread. + + Related guide: [Assistants](/docs/assistants/overview) + navigationGroup: assistants + sections: + - type: endpoint + key: createRun + path: createRun + - type: endpoint + key: createThreadAndRun + path: createThreadAndRun + - type: endpoint + key: listRuns + path: listRuns + - type: endpoint + key: getRun + path: getRun + - type: endpoint + key: modifyRun + path: modifyRun + - type: endpoint + key: submitToolOuputsToRun + path: submitToolOutputs + - type: endpoint + key: cancelRun + path: cancelRun + - type: object + key: RunObject + path: object + - id: run-steps + title: Run Steps + beta: true description: | - The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info. - minimum: 256 - truncation_strategy: - $ref: "#/components/schemas/TruncationObject" - nullable: true - tool_choice: - $ref: "#/components/schemas/AssistantsApiToolChoiceOption" - nullable: true - response_format: - $ref: "#/components/schemas/AssistantsApiResponseFormatOption" - nullable: true - required: - - thread_id - - assistant_id - ListRunsResponse: - type: object - properties: - object: - type: string - example: "list" - data: - type: array - items: - $ref: "#/components/schemas/RunObject" - first_id: - type: string - example: "run_abc123" - last_id: - type: string - example: "run_abc456" - has_more: - type: boolean - example: false - required: - - object - - data - - first_id - - last_id - - has_more - ModifyRunRequest: - type: object - additionalProperties: false - properties: - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - SubmitToolOutputsRunRequest: - type: object - additionalProperties: false - properties: - tool_outputs: - description: A list of tools for which the outputs are being submitted. - type: array - items: - type: object - properties: - tool_call_id: - type: string - description: The ID of the tool call in the `required_action` object within the run object the output is being submitted for. - output: - type: string - description: The output of the tool call to be submitted to continue the run. - stream: - type: boolean - nullable: true + Represents the steps (model and tool calls) taken during the run. + + Related guide: [Assistants](/docs/assistants/overview) + navigationGroup: assistants + sections: + - type: endpoint + key: listRunSteps + path: listRunSteps + - type: endpoint + key: getRunStep + path: getRunStep + - type: object + key: RunStepObject + path: step-object + - id: vector-stores + title: Vector Stores + beta: true description: | - If `true`, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a `data: [DONE]` message. - required: - - tool_outputs - - RunToolCallObject: - type: object - description: Tool call objects - properties: - id: - type: string - description: The ID of the tool call. This ID must be referenced when you submit the tool outputs in using the [Submit tool outputs to run](/docs/api-reference/runs/submitToolOutputs) endpoint. - type: - type: string - description: The type of tool call the output is required for. For now, this is always `function`. - enum: ["function"] - function: - type: object - description: The function definition. - properties: - name: - type: string - description: The name of the function. - arguments: - type: string - description: The arguments that the model expects you to pass to the function. - required: - - name - - arguments - required: - - id - - type - - function - - CreateThreadAndRunRequest: - type: object - additionalProperties: false - properties: - assistant_id: - description: The ID of the [assistant](/docs/api-reference/assistants) to use to execute this run. - type: string - thread: - $ref: "#/components/schemas/CreateThreadRequest" - description: If no thread is provided, an empty thread will be created. - model: - description: The ID of the [Model](/docs/api-reference/models) to be used to execute this run. If a value is provided here, it will override the model associated with the assistant. If not, the model associated with the assistant will be used. - example: "gpt-4-turbo" - anyOf: - - type: string - - type: string - enum: - [ - "gpt-4o", - "gpt-4o-2024-05-13", - "gpt-4-turbo", - "gpt-4-turbo-2024-04-09", - "gpt-4-0125-preview", - "gpt-4-turbo-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-4", - "gpt-4-0314", - "gpt-4-0613", - "gpt-4-32k", - "gpt-4-32k-0314", - "gpt-4-32k-0613", - "gpt-3.5-turbo", - "gpt-3.5-turbo-16k", - "gpt-3.5-turbo-0613", - "gpt-3.5-turbo-1106", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-16k-0613", - ] - x-oaiTypeLabel: string - nullable: true - instructions: - description: Override the default system message of the assistant. This is useful for modifying the behavior on a per-run basis. - type: string - nullable: true - tools: - description: Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis. - nullable: true - type: array - maxItems: 20 - items: - oneOf: - - $ref: "#/components/schemas/AssistantToolsCode" - - $ref: "#/components/schemas/AssistantToolsFileSearch" - - $ref: "#/components/schemas/AssistantToolsFunction" - tool_resources: - type: object + Vector stores are used to store files for use by the `file_search` tool. + + Related guide: [File Search](/docs/assistants/tools/file-search) + navigationGroup: assistants + sections: + - type: endpoint + key: createVectorStore + path: create + - type: endpoint + key: listVectorStores + path: list + - type: endpoint + key: getVectorStore + path: retrieve + - type: endpoint + key: modifyVectorStore + path: modify + - type: endpoint + key: deleteVectorStore + path: delete + - type: object + key: VectorStoreObject + path: object + - id: vector-stores-files + title: Vector Store Files + beta: true description: | - A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. - properties: - code_interpreter: - type: object - properties: - file_ids: - type: array - description: | - A list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. - default: [] - maxItems: 20 - items: - type: string - file_search: - type: object - properties: - vector_store_ids: - type: array - description: | - The ID of the [vector store](/docs/api-reference/vector-stores/object) attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. - maxItems: 1 - items: - type: string - nullable: true - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - temperature: - type: number - minimum: 0 - maximum: 2 - default: 1 - example: 1 - nullable: true - description: *run_temperature_description - top_p: - type: number - minimum: 0 - maximum: 1 - default: 1 - example: 1 - nullable: true - description: *run_top_p_description - stream: - type: boolean - nullable: true + Vector store files represent files inside a vector store. + + Related guide: [File Search](/docs/assistants/tools/file-search) + navigationGroup: assistants + sections: + - type: endpoint + key: createVectorStoreFile + path: createFile + - type: endpoint + key: listVectorStoreFiles + path: listFiles + - type: endpoint + key: getVectorStoreFile + path: getFile + - type: endpoint + key: deleteVectorStoreFile + path: deleteFile + - type: object + key: VectorStoreFileObject + path: file-object + - id: vector-stores-file-batches + title: Vector Store File Batches + beta: true description: | - If `true`, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a `data: [DONE]` message. - max_prompt_tokens: - type: integer - nullable: true + Vector store file batches represent operations to add multiple files to a vector store. + + Related guide: [File Search](/docs/assistants/tools/file-search) + navigationGroup: assistants + sections: + - type: endpoint + key: createVectorStoreFileBatch + path: createBatch + - type: endpoint + key: getVectorStoreFileBatch + path: getBatch + - type: endpoint + key: cancelVectorStoreFileBatch + path: cancelBatch + - type: endpoint + key: listFilesInVectorStoreBatch + path: listBatchFiles + - type: object + key: VectorStoreFileBatchObject + path: batch-object + - id: assistants-streaming + title: Streaming + beta: true description: | - The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info. - minimum: 256 - max_completion_tokens: - type: integer - nullable: true + Stream the result of executing a Run or resuming a Run after submitting tool outputs. + + You can stream events from the [Create Thread and Run](/docs/api-reference/runs/createThreadAndRun), + [Create Run](/docs/api-reference/runs/createRun), and [Submit Tool Outputs](/docs/api-reference/runs/submitToolOutputs) + endpoints by passing `"stream": true`. The response will be a [Server-Sent events](https://html.spec.whatwg.org/multipage/server-sent-events.html#server-sent-events) stream. + + Our Node and Python SDKs provide helpful utilities to make streaming easy. Reference the + [Assistants API quickstart](/docs/assistants/overview) to learn more. + navigationGroup: assistants + sections: + - type: object + key: MessageDeltaObject + path: message-delta-object + - type: object + key: RunStepDeltaObject + path: run-step-delta-object + - type: object + key: AssistantStreamEvent + path: events + + - id: administration + title: Overview description: | - The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status `incomplete`. See `incomplete_details` for more info. - minimum: 256 - truncation_strategy: - $ref: "#/components/schemas/TruncationObject" - nullable: true - tool_choice: - $ref: "#/components/schemas/AssistantsApiToolChoiceOption" - nullable: true - response_format: - $ref: "#/components/schemas/AssistantsApiResponseFormatOption" - nullable: true - required: - - thread_id - - assistant_id - - ThreadObject: - type: object - title: Thread - description: Represents a thread that contains [messages](/docs/api-reference/messages). - properties: - id: - description: The identifier, which can be referenced in API endpoints. - type: string - object: - description: The object type, which is always `thread`. - type: string - enum: ["thread"] - created_at: - description: The Unix timestamp (in seconds) for when the thread was created. - type: integer - tool_resources: - type: object + Programmatically manage your organization. + + The Audit Logs endpoint provides a log of all actions taken in the + organization for security and monitoring purposes. + + To access these endpoints please generate an Admin API Key through the [API Platform Organization overview](/organization/admin-keys). Admin API keys cannot be used for non-administration endpoints. + + For best practices on setting up your organization, please refer to this [guide](/docs/guides/production-best-practices/setting-up-your-organization) + navigationGroup: administration + + - id: invite + title: Invites + description: Invite and manage invitations for an organization. Invited users are automatically added to the Default project. + navigationGroup: administration + sections: + - type: endpoint + key: list-invites + path: list + - type: endpoint + key: inviteUser + path: create + - type: endpoint + key: retrieve-invite + path: retrieve + - type: endpoint + key: delete-invite + path: delete + - type: object + key: Invite + path: object + + - id: users + title: Users description: | - A set of resources that are made available to the assistant's tools in this thread. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. - properties: - code_interpreter: - type: object - properties: - file_ids: - type: array - description: | - A list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. - default: [] - maxItems: 20 - items: - type: string - file_search: - type: object - properties: - vector_store_ids: - type: array - description: | - The [vector store](/docs/api-reference/vector-stores/object) attached to this thread. There can be a maximum of 1 vector store attached to the thread. - maxItems: 1 - items: - type: string - nullable: true - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - required: - - id - - object - - created_at - - tool_resources - - metadata - x-oaiMeta: - name: The thread object - beta: true - example: | - { - "id": "thread_abc123", - "object": "thread", - "created_at": 1698107661, - "metadata": {} - } - - CreateThreadRequest: - type: object - additionalProperties: false - properties: - messages: - description: A list of [messages](/docs/api-reference/messages) to start the thread with. - type: array - items: - $ref: "#/components/schemas/CreateMessageRequest" - tool_resources: - type: object + Manage users and their role in an organization. Users will be automatically added to the Default project. + navigationGroup: administration + sections: + - type: endpoint + key: list-users + path: list + - type: endpoint + key: modify-user + path: modify + - type: endpoint + key: retrieve-user + path: retrieve + - type: endpoint + key: delete-user + path: delete + - type: object + key: User + path: object + + - id: projects + title: Projects description: | - A set of resources that are made available to the assistant's tools in this thread. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. - properties: - code_interpreter: - type: object - properties: - file_ids: - type: array - description: | - A list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. - default: [] - maxItems: 20 - items: - type: string - file_search: - type: object - properties: - vector_store_ids: - type: array - description: | - The [vector store](/docs/api-reference/vector-stores/object) attached to this thread. There can be a maximum of 1 vector store attached to the thread. - maxItems: 1 - items: - type: string - vector_stores: - type: array - description: | - A helper to create a [vector store](/docs/api-reference/vector-stores/object) with file_ids and attach it to this thread. There can be a maximum of 1 vector store attached to the thread. - maxItems: 1 - items: - type: object - properties: - file_ids: - type: array - description: | - A list of [file](/docs/api-reference/files) IDs to add to the vector store. There can be a maximum of 10000 files in a vector store. - maxItems: 10000 - items: - type: string - metadata: - type: object - description: | - Set of 16 key-value pairs that can be attached to a vector store. This can be useful for storing additional information about the vector store in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long. - x-oaiTypeLabel: map - oneOf: - - required: [vector_store_ids] - - required: [vector_stores] - nullable: true - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - - ModifyThreadRequest: - type: object - additionalProperties: false - properties: - tool_resources: - type: object + Manage the projects within an orgnanization includes creation, updating, and archiving or projects. + The Default project cannot be modified or archived. + navigationGroup: administration + sections: + - type: endpoint + key: list-projects + path: list + - type: endpoint + key: create-project + path: create + - type: endpoint + key: retrieve-project + path: retrieve + - type: endpoint + key: modify-project + path: modify + - type: endpoint + key: archive-project + path: archive + - type: object + key: Project + path: object + + - id: project-users + title: Project Users description: | - A set of resources that are made available to the assistant's tools in this thread. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. - properties: - code_interpreter: - type: object - properties: - file_ids: - type: array - description: | - A list of [file](/docs/api-reference/files) IDs made available to the `code_interpreter` tool. There can be a maximum of 20 files associated with the tool. - default: [] - maxItems: 20 - items: - type: string - file_search: - type: object - properties: - vector_store_ids: - type: array - description: | - The [vector store](/docs/api-reference/vector-stores/object) attached to this thread. There can be a maximum of 1 vector store attached to the thread. - maxItems: 1 - items: - type: string - nullable: true - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - - DeleteThreadResponse: - type: object - properties: - id: - type: string - deleted: - type: boolean - object: - type: string - enum: [thread.deleted] - required: - - id - - object - - deleted - - ListThreadsResponse: - properties: - object: - type: string - example: "list" - data: - type: array - items: - $ref: "#/components/schemas/ThreadObject" - first_id: - type: string - example: "asst_abc123" - last_id: - type: string - example: "asst_abc456" - has_more: - type: boolean - example: false - required: - - object - - data - - first_id - - last_id - - has_more - - MessageObject: - type: object - title: The message object - description: Represents a message within a [thread](/docs/api-reference/threads). - properties: - id: - description: The identifier, which can be referenced in API endpoints. - type: string - object: - description: The object type, which is always `thread.message`. - type: string - enum: ["thread.message"] - created_at: - description: The Unix timestamp (in seconds) for when the message was created. - type: integer - thread_id: - description: The [thread](/docs/api-reference/threads) ID that this message belongs to. - type: string - status: - description: The status of the message, which can be either `in_progress`, `incomplete`, or `completed`. - type: string - enum: ["in_progress", "incomplete", "completed"] - incomplete_details: - description: On an incomplete message, details about why the message is incomplete. - type: object - properties: - reason: - type: string - description: The reason the message is incomplete. - enum: - [ - "content_filter", - "max_tokens", - "run_cancelled", - "run_expired", - "run_failed", - ] - nullable: true - required: - - reason - completed_at: - description: The Unix timestamp (in seconds) for when the message was completed. - type: integer - nullable: true - incomplete_at: - description: The Unix timestamp (in seconds) for when the message was marked as incomplete. - type: integer - nullable: true - role: - description: The entity that produced the message. One of `user` or `assistant`. - type: string - enum: ["user", "assistant"] - content: - description: The content of the message in array of text and/or images. - type: array - items: - oneOf: - - $ref: "#/components/schemas/MessageContentImageFileObject" - - $ref: "#/components/schemas/MessageContentImageUrlObject" - - $ref: "#/components/schemas/MessageContentTextObject" - x-oaiExpandable: true - assistant_id: - description: If applicable, the ID of the [assistant](/docs/api-reference/assistants) that authored this message. - type: string - nullable: true - run_id: - description: The ID of the [run](/docs/api-reference/runs) associated with the creation of this message. Value is `null` when messages are created manually using the create message or create thread endpoints. - type: string - nullable: true - attachments: - type: array - items: - type: object - properties: - file_id: - type: string - description: The ID of the file to attach to the message. - tools: - description: The tools to add this file to. - type: array - items: - oneOf: - - $ref: "#/components/schemas/AssistantToolsCode" - - $ref: "#/components/schemas/AssistantToolsFileSearch" - x-oaiExpandable: true - description: A list of files attached to the message, and the tools they were added to. - nullable: true - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - required: - - id - - object - - created_at - - thread_id - - status - - incomplete_details - - completed_at - - incomplete_at - - role - - content - - assistant_id - - run_id - - attachments - - metadata - x-oaiMeta: - name: The message object - beta: true - example: | - { - "id": "msg_abc123", - "object": "thread.message", - "created_at": 1698983503, - "thread_id": "thread_abc123", - "role": "assistant", - "content": [ - { - "type": "text", - "text": { - "value": "Hi! How can I help you today?", - "annotations": [] - } - } - ], - "assistant_id": "asst_abc123", - "run_id": "run_abc123", - "attachments": [], - "metadata": {} - } - - MessageDeltaObject: - type: object - title: Message delta object - description: | - Represents a message delta i.e. any changed fields on a message during streaming. - properties: - id: - description: The identifier of the message, which can be referenced in API endpoints. - type: string - object: - description: The object type, which is always `thread.message.delta`. - type: string - enum: ["thread.message.delta"] - delta: - description: The delta containing the fields that have changed on the Message. - type: object - properties: - role: - description: The entity that produced the message. One of `user` or `assistant`. - type: string - enum: ["user", "assistant"] - content: - description: The content of the message in array of text and/or images. - type: array - items: - oneOf: - - $ref: "#/components/schemas/MessageDeltaContentImageFileObject" - - $ref: "#/components/schemas/MessageDeltaContentTextObject" - - $ref: "#/components/schemas/MessageDeltaContentImageUrlObject" - x-oaiExpandable: true - required: - - id - - object - - delta - x-oaiMeta: - name: The message delta object - beta: true - example: | - { - "id": "msg_123", - "object": "thread.message.delta", - "delta": { - "content": [ - { - "index": 0, - "type": "text", - "text": { "value": "Hello", "annotations": [] } - } - ] - } - } - - CreateMessageRequest: - type: object - additionalProperties: false - required: - - role - - content - properties: - role: - type: string - enum: ["user", "assistant"] + Manage users within a project, including adding, updating roles, and removing users. + Users cannot be removed from the Default project, unless they are being removed from the organization. + navigationGroup: administration + sections: + - type: endpoint + key: list-project-users + path: list + - type: endpoint + key: create-project-user + path: creeate + - type: endpoint + key: retrieve-project-user + path: retrieve + - type: endpoint + key: modify-project-user + path: modify + - type: endpoint + key: delete-project-user + path: delete + - type: object + key: ProjectUser + path: object + + - id: project-service-accounts + title: Project Service Accounts + description: | + Manage service accounts within a project. A service account is a bot user that is not associated with a user. + If a user leaves an organization, their keys and membership in projects will no longer work. Service accounts + do not have this limitation. However, service accounts can also be deleted from a project. + navigationGroup: administration + sections: + - type: endpoint + key: list-project-service-accounts + path: list + - type: endpoint + key: create-project-service-account + path: create + - type: endpoint + key: retrieve-project-service-account + path: retrieve + - type: endpoint + key: delete-project-service-account + path: delete + - type: object + key: ProjectServiceAccount + path: object + + - id: project-api-keys + title: Project API Keys description: | - The role of the entity that is creating the message. Allowed values include: - - `user`: Indicates the message is sent by an actual user and should be used in most cases to represent user-generated messages. - - `assistant`: Indicates the message is generated by the assistant. Use this value to insert messages from the assistant into the conversation. - content: - oneOf: - - type: string - description: The text contents of the message. - title: Text content - - type: array - description: An array of content parts with a defined type, each can be of type `text` or images can be passed with `image_url` or `image_file`. Image types are only supported on [Vision-compatible models](/docs/models/overview). - title: Array of content parts - items: - oneOf: - - $ref: "#/components/schemas/MessageContentImageFileObject" - - $ref: "#/components/schemas/MessageContentImageUrlObject" - - $ref: "#/components/schemas/MessageRequestContentTextObject" - x-oaiExpandable: true - minItems: 1 - x-oaiExpandable: true - attachments: - type: array - items: - type: object - properties: - file_id: - type: string - description: The ID of the file to attach to the message. - tools: - description: The tools to add this file to. - type: array - items: - oneOf: - - $ref: "#/components/schemas/AssistantToolsCode" - - $ref: "#/components/schemas/AssistantToolsFileSearch" - x-oaiExpandable: true - description: A list of files attached to the message, and the tools they should be added to. - required: - - file_id - - tools - nullable: true - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - - ModifyMessageRequest: - type: object - additionalProperties: false - properties: - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - - DeleteMessageResponse: - type: object - properties: - id: - type: string - deleted: - type: boolean - object: - type: string - enum: [thread.message.deleted] - required: - - id - - object - - deleted - - ListMessagesResponse: - properties: - object: - type: string - example: "list" - data: - type: array - items: - $ref: "#/components/schemas/MessageObject" - first_id: - type: string - example: "msg_abc123" - last_id: - type: string - example: "msg_abc123" - has_more: - type: boolean - example: false - required: - - object - - data - - first_id - - last_id - - has_more - - MessageContentImageFileObject: - title: Image file - type: object - description: References an image [File](/docs/api-reference/files) in the content of a message. - properties: - type: - description: Always `image_file`. - type: string - enum: ["image_file"] - image_file: - type: object - properties: - file_id: - description: The [File](/docs/api-reference/files) ID of the image in the message content. Set `purpose="vision"` when uploading the File if you need to later display the file content. - type: string - detail: - type: string - description: Specifies the detail level of the image if specified by the user. `low` uses fewer tokens, you can opt in to high resolution using `high`. - enum: ["auto", "low", "high"] - default: "auto" - required: - - file_id - required: - - type - - image_file - - MessageDeltaContentImageFileObject: - title: Image file - type: object - description: References an image [File](/docs/api-reference/files) in the content of a message. - properties: - index: - type: integer - description: The index of the content part in the message. - type: - description: Always `image_file`. - type: string - enum: ["image_file"] - image_file: - type: object - properties: - file_id: - description: The [File](/docs/api-reference/files) ID of the image in the message content. Set `purpose="vision"` when uploading the File if you need to later display the file content. - type: string - detail: - type: string - description: Specifies the detail level of the image if specified by the user. `low` uses fewer tokens, you can opt in to high resolution using `high`. - enum: ["auto", "low", "high"] - default: "auto" - required: - - index - - type - - MessageContentImageUrlObject: - title: Image URL - type: object - description: References an image URL in the content of a message. - properties: - type: - type: string - enum: ["image_url"] - description: The type of the content part. - image_url: - type: object - properties: - url: - type: string - description: "The external URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp." - format: uri - detail: - type: string - description: Specifies the detail level of the image. `low` uses fewer tokens, you can opt in to high resolution using `high`. Default value is `auto` - enum: ["auto", "low", "high"] - default: "auto" - required: - - url - required: - - type - - image_url - - MessageDeltaContentImageUrlObject: - title: Image URL - type: object - description: References an image URL in the content of a message. - properties: - index: - type: integer - description: The index of the content part in the message. - type: - description: Always `image_url`. - type: string - enum: ["image_url"] - image_url: - type: object - properties: - url: - description: "The URL of the image, must be a supported image types: jpeg, jpg, png, gif, webp." - type: string - detail: - type: string - description: Specifies the detail level of the image. `low` uses fewer tokens, you can opt in to high resolution using `high`. - enum: ["auto", "low", "high"] - default: "auto" - required: - - index - - type - - MessageContentTextObject: - title: Text - type: object - description: The text content that is part of a message. - properties: - type: - description: Always `text`. - type: string - enum: ["text"] - text: - type: object - properties: - value: - description: The data that makes up the text. - type: string - annotations: - type: array - items: - oneOf: - - $ref: "#/components/schemas/MessageContentTextAnnotationsFileCitationObject" - - $ref: "#/components/schemas/MessageContentTextAnnotationsFilePathObject" - x-oaiExpandable: true - required: - - value - - annotations - required: - - type - - text - - MessageRequestContentTextObject: - title: Text - type: object - description: The text content that is part of a message. - properties: - type: - description: Always `text`. - type: string - enum: ["text"] - text: - type: string - description: Text content to be sent to the model - required: - - type - - text - - MessageContentTextAnnotationsFileCitationObject: - title: File citation - type: object - description: A citation within the message that points to a specific quote from a specific File associated with the assistant or the message. Generated when the assistant uses the "file_search" tool to search files. - properties: - type: - description: Always `file_citation`. - type: string - enum: ["file_citation"] - text: - description: The text in the message content that needs to be replaced. - type: string - file_citation: - type: object - properties: - file_id: - description: The ID of the specific File the citation is from. - type: string - quote: - description: The specific quote in the file. - type: string - required: - - file_id - - quote - start_index: - type: integer - minimum: 0 - end_index: - type: integer - minimum: 0 - required: - - type - - text - - file_citation - - start_index - - end_index - - MessageContentTextAnnotationsFilePathObject: - title: File path - type: object - description: A URL for the file that's generated when the assistant used the `code_interpreter` tool to generate a file. - properties: - type: - description: Always `file_path`. - type: string - enum: ["file_path"] - text: - description: The text in the message content that needs to be replaced. - type: string - file_path: - type: object - properties: - file_id: - description: The ID of the file that was generated. - type: string - required: - - file_id - start_index: - type: integer - minimum: 0 - end_index: - type: integer - minimum: 0 - required: - - type - - text - - file_path - - start_index - - end_index - - MessageDeltaContentTextObject: - title: Text - type: object - description: The text content that is part of a message. - properties: - index: - type: integer - description: The index of the content part in the message. - type: - description: Always `text`. - type: string - enum: ["text"] - text: - type: object - properties: - value: - description: The data that makes up the text. - type: string - annotations: - type: array - items: - oneOf: - - $ref: "#/components/schemas/MessageDeltaContentTextAnnotationsFileCitationObject" - - $ref: "#/components/schemas/MessageDeltaContentTextAnnotationsFilePathObject" - x-oaiExpandable: true - required: - - index - - type - - MessageDeltaContentTextAnnotationsFileCitationObject: - title: File citation - type: object - description: A citation within the message that points to a specific quote from a specific File associated with the assistant or the message. Generated when the assistant uses the "file_search" tool to search files. - properties: - index: - type: integer - description: The index of the annotation in the text content part. - type: - description: Always `file_citation`. - type: string - enum: ["file_citation"] - text: - description: The text in the message content that needs to be replaced. - type: string - file_citation: - type: object - properties: - file_id: - description: The ID of the specific File the citation is from. - type: string - quote: - description: The specific quote in the file. - type: string - start_index: - type: integer - minimum: 0 - end_index: - type: integer - minimum: 0 - required: - - index - - type - - MessageDeltaContentTextAnnotationsFilePathObject: - title: File path - type: object - description: A URL for the file that's generated when the assistant used the `code_interpreter` tool to generate a file. - properties: - index: - type: integer - description: The index of the annotation in the text content part. - type: - description: Always `file_path`. - type: string - enum: ["file_path"] - text: - description: The text in the message content that needs to be replaced. - type: string - file_path: - type: object - properties: - file_id: - description: The ID of the file that was generated. - type: string - start_index: - type: integer - minimum: 0 - end_index: - type: integer - minimum: 0 - required: - - index - - type - - RunStepObject: - type: object - title: Run steps - description: | - Represents a step in execution of a run. - properties: - id: - description: The identifier of the run step, which can be referenced in API endpoints. - type: string - object: - description: The object type, which is always `thread.run.step`. - type: string - enum: ["thread.run.step"] - created_at: - description: The Unix timestamp (in seconds) for when the run step was created. - type: integer - assistant_id: - description: The ID of the [assistant](/docs/api-reference/assistants) associated with the run step. - type: string - thread_id: - description: The ID of the [thread](/docs/api-reference/threads) that was run. - type: string - run_id: - description: The ID of the [run](/docs/api-reference/runs) that this run step is a part of. - type: string - type: - description: The type of run step, which can be either `message_creation` or `tool_calls`. - type: string - enum: ["message_creation", "tool_calls"] - status: - description: The status of the run step, which can be either `in_progress`, `cancelled`, `failed`, `completed`, or `expired`. - type: string - enum: ["in_progress", "cancelled", "failed", "completed", "expired"] - step_details: - type: object - description: The details of the run step. - oneOf: - - $ref: "#/components/schemas/RunStepDetailsMessageCreationObject" - - $ref: "#/components/schemas/RunStepDetailsToolCallsObject" - x-oaiExpandable: true - last_error: - type: object - description: The last error associated with this run step. Will be `null` if there are no errors. - nullable: true - properties: - code: - type: string - description: One of `server_error` or `rate_limit_exceeded`. - enum: ["server_error", "rate_limit_exceeded"] - message: - type: string - description: A human-readable description of the error. - required: - - code - - message - expired_at: - description: The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired. - type: integer - nullable: true - cancelled_at: - description: The Unix timestamp (in seconds) for when the run step was cancelled. - type: integer - nullable: true - failed_at: - description: The Unix timestamp (in seconds) for when the run step failed. - type: integer - nullable: true - completed_at: - description: The Unix timestamp (in seconds) for when the run step completed. - type: integer - nullable: true - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - usage: - $ref: "#/components/schemas/RunStepCompletionUsage" - required: - - id - - object - - created_at - - assistant_id - - thread_id - - run_id - - type - - status - - step_details - - last_error - - expired_at - - cancelled_at - - failed_at - - completed_at - - metadata - - usage - x-oaiMeta: - name: The run step object - beta: true - example: *run_step_object_example - - RunStepDeltaObject: - type: object - title: Run step delta object - description: | - Represents a run step delta i.e. any changed fields on a run step during streaming. - properties: - id: - description: The identifier of the run step, which can be referenced in API endpoints. - type: string - object: - description: The object type, which is always `thread.run.step.delta`. - type: string - enum: ["thread.run.step.delta"] - delta: - description: The delta containing the fields that have changed on the run step. - type: object - properties: - step_details: - type: object - description: The details of the run step. - oneOf: - - $ref: "#/components/schemas/RunStepDeltaStepDetailsMessageCreationObject" - - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsObject" - x-oaiExpandable: true - required: - - id - - object - - delta - x-oaiMeta: - name: The run step delta object - beta: true - example: | - { - "id": "step_123", - "object": "thread.run.step.delta", - "delta": { - "step_details": { - "type": "tool_calls", - "tool_calls": [ - { - "index": 0, - "id": "call_123", - "type": "code_interpreter", - "code_interpreter": { "input": "", "outputs": [] } - } - ] - } - } - } - - ListRunStepsResponse: - properties: - object: - type: string - example: "list" - data: - type: array - items: - $ref: "#/components/schemas/RunStepObject" - first_id: - type: string - example: "step_abc123" - last_id: - type: string - example: "step_abc456" - has_more: - type: boolean - example: false - required: - - object - - data - - first_id - - last_id - - has_more - - RunStepDetailsMessageCreationObject: - title: Message creation - type: object - description: Details of the message creation by the run step. - properties: - type: - description: Always `message_creation`. - type: string - enum: ["message_creation"] - message_creation: - type: object - properties: - message_id: - type: string - description: The ID of the message that was created by this run step. - required: - - message_id - required: - - type - - message_creation - - RunStepDeltaStepDetailsMessageCreationObject: - title: Message creation - type: object - description: Details of the message creation by the run step. - properties: - type: - description: Always `message_creation`. - type: string - enum: ["message_creation"] - message_creation: - type: object - properties: - message_id: - type: string - description: The ID of the message that was created by this run step. - required: - - type - - RunStepDetailsToolCallsObject: - title: Tool calls - type: object - description: Details of the tool call. - properties: - type: - description: Always `tool_calls`. - type: string - enum: ["tool_calls"] - tool_calls: - type: array + Manage API keys for a given project. Supports listing and deleting keys for users. + This API does not allow issuing keys for users, as users need to authorize themselves to generate keys. + navigationGroup: administration + sections: + - type: endpoint + key: list-project-api-keys + path: list + - type: endpoint + key: retrieve-project-api-key + path: retrieve + - type: endpoint + key: delete-project-api-key + path: delete + - type: object + key: ProjectApiKey + path: object + + - id: audit-logs + title: Audit Logs description: | - An array of tool calls the run step was involved in. These can be associated with one of three types of tools: `code_interpreter`, `file_search`, or `function`. - items: - oneOf: - - $ref: "#/components/schemas/RunStepDetailsToolCallsCodeObject" - - $ref: "#/components/schemas/RunStepDetailsToolCallsFileSearchObject" - - $ref: "#/components/schemas/RunStepDetailsToolCallsFunctionObject" - x-oaiExpandable: true - required: - - type - - tool_calls - - RunStepDeltaStepDetailsToolCallsObject: - title: Tool calls - type: object - description: Details of the tool call. - properties: - type: - description: Always `tool_calls`. - type: string - enum: ["tool_calls"] - tool_calls: - type: array + Logs of user actions and configuration changes within this organization. + + To log events, you must activate logging in the [Organization Settings](/settings/organization/general). + Once activated, for security reasons, logging cannot be deactivated. + navigationGroup: administration + sections: + - type: endpoint + key: list-audit-logs + path: list + - type: object + key: AuditLog + path: object + + - id: completions + title: Completions + legacy: true + navigationGroup: legacy description: | - An array of tool calls the run step was involved in. These can be associated with one of three types of tools: `code_interpreter`, `file_search`, or `function`. - items: - oneOf: - - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsCodeObject" - - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsFileSearchObject" - - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsFunctionObject" - x-oaiExpandable: true - required: - - type - - RunStepDetailsToolCallsCodeObject: - title: Code Interpreter tool call - type: object - description: Details of the Code Interpreter tool call the run step was involved in. - properties: - id: - type: string - description: The ID of the tool call. - type: - type: string - description: The type of tool call. This is always going to be `code_interpreter` for this type of tool call. - enum: ["code_interpreter"] - code_interpreter: - type: object - description: The Code Interpreter tool call definition. - required: - - input - - outputs - properties: - input: - type: string - description: The input to the Code Interpreter tool call. - outputs: - type: array - description: The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (`logs`) or images (`image`). Each of these are represented by a different object type. - items: - type: object - oneOf: - - $ref: "#/components/schemas/RunStepDetailsToolCallsCodeOutputLogsObject" - - $ref: "#/components/schemas/RunStepDetailsToolCallsCodeOutputImageObject" - x-oaiExpandable: true - required: - - id - - type - - code_interpreter - - RunStepDeltaStepDetailsToolCallsCodeObject: - title: Code interpreter tool call - type: object - description: Details of the Code Interpreter tool call the run step was involved in. - properties: - index: - type: integer - description: The index of the tool call in the tool calls array. - id: - type: string - description: The ID of the tool call. - type: - type: string - description: The type of tool call. This is always going to be `code_interpreter` for this type of tool call. - enum: ["code_interpreter"] - code_interpreter: - type: object - description: The Code Interpreter tool call definition. - properties: - input: - type: string - description: The input to the Code Interpreter tool call. - outputs: - type: array - description: The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (`logs`) or images (`image`). Each of these are represented by a different object type. - items: - type: object - oneOf: - - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsCodeOutputLogsObject" - - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsCodeOutputImageObject" - x-oaiExpandable: true - required: - - index - - type - - RunStepDetailsToolCallsCodeOutputLogsObject: - title: Code Interpreter log output - type: object - description: Text output from the Code Interpreter tool call as part of a run step. - properties: - type: - description: Always `logs`. - type: string - enum: ["logs"] - logs: - type: string - description: The text output from the Code Interpreter tool call. - required: - - type - - logs - - RunStepDeltaStepDetailsToolCallsCodeOutputLogsObject: - title: Code interpreter log output - type: object - description: Text output from the Code Interpreter tool call as part of a run step. - properties: - index: - type: integer - description: The index of the output in the outputs array. - type: - description: Always `logs`. - type: string - enum: ["logs"] - logs: - type: string - description: The text output from the Code Interpreter tool call. - required: - - index - - type - - RunStepDetailsToolCallsCodeOutputImageObject: - title: Code Interpreter image output - type: object - properties: - type: - description: Always `image`. - type: string - enum: ["image"] - image: - type: object - properties: - file_id: - description: The [file](/docs/api-reference/files) ID of the image. - type: string - required: - - file_id - required: - - type - - image - - RunStepDeltaStepDetailsToolCallsCodeOutputImageObject: - title: Code interpreter image output - type: object - properties: - index: - type: integer - description: The index of the output in the outputs array. - type: - description: Always `image`. - type: string - enum: ["image"] - image: - type: object - properties: - file_id: - description: The [file](/docs/api-reference/files) ID of the image. - type: string - required: - - index - - type - - RunStepDetailsToolCallsFileSearchObject: - title: File search tool call - type: object - properties: - id: - type: string - description: The ID of the tool call object. - type: - type: string - description: The type of tool call. This is always going to be `file_search` for this type of tool call. - enum: ["file_search"] - file_search: - type: object - description: For now, this is always going to be an empty object. - x-oaiTypeLabel: map - required: - - id - - type - - file_search - - RunStepDeltaStepDetailsToolCallsFileSearchObject: - title: File search tool call - type: object - properties: - index: - type: integer - description: The index of the tool call in the tool calls array. - id: - type: string - description: The ID of the tool call object. - type: - type: string - description: The type of tool call. This is always going to be `file_search` for this type of tool call. - enum: ["file_search"] - file_search: - type: object - description: For now, this is always going to be an empty object. - x-oaiTypeLabel: map - required: - - index - - type - - file_search - - RunStepDetailsToolCallsFunctionObject: - type: object - title: Function tool call - properties: - id: - type: string - description: The ID of the tool call object. - type: - type: string - description: The type of tool call. This is always going to be `function` for this type of tool call. - enum: ["function"] - function: - type: object - description: The definition of the function that was called. - properties: - name: - type: string - description: The name of the function. - arguments: - type: string - description: The arguments passed to the function. - output: - type: string - description: The output of the function. This will be `null` if the outputs have not been [submitted](/docs/api-reference/runs/submitToolOutputs) yet. - nullable: true - required: - - name - - arguments - - output - required: - - id - - type - - function - - RunStepDeltaStepDetailsToolCallsFunctionObject: - type: object - title: Function tool call - properties: - index: - type: integer - description: The index of the tool call in the tool calls array. - id: - type: string - description: The ID of the tool call object. - type: - type: string - description: The type of tool call. This is always going to be `function` for this type of tool call. - enum: ["function"] - function: - type: object - description: The definition of the function that was called. - properties: - name: - type: string - description: The name of the function. - arguments: - type: string - description: The arguments passed to the function. - output: - type: string - description: The output of the function. This will be `null` if the outputs have not been [submitted](/docs/api-reference/runs/submitToolOutputs) yet. - nullable: true - required: - - index - - type - - VectorStoreExpirationAfter: - type: object - title: Vector store expiration policy - description: The expiration policy for a vector store. - properties: - anchor: - description: "Anchor timestamp after which the expiration policy applies. Supported anchors: `last_active_at`." - type: string - enum: ["last_active_at"] - days: - description: The number of days after the anchor time that the vector store will expire. - type: integer - minimum: 1 - maximum: 365 - required: - - anchor - - days - - VectorStoreObject: - type: object - title: Vector store - description: A vector store is a collection of processed files can be used by the `file_search` tool. - properties: - id: - description: The identifier, which can be referenced in API endpoints. - type: string - object: - description: The object type, which is always `vector_store`. - type: string - enum: ["vector_store"] - created_at: - description: The Unix timestamp (in seconds) for when the vector store was created. - type: integer - name: - description: The name of the vector store. - type: string - usage_bytes: - description: The total number of bytes used by the files in the vector store. - type: integer - file_counts: - type: object - properties: - in_progress: - description: The number of files that are currently being processed. - type: integer - completed: - description: The number of files that have been successfully processed. - type: integer - failed: - description: The number of files that have failed to process. - type: integer - cancelled: - description: The number of files that were cancelled. - type: integer - total: - description: The total number of files. - type: integer - required: - - in_progress - - completed - - failed - - cancelled - - total - status: - description: The status of the vector store, which can be either `expired`, `in_progress`, or `completed`. A status of `completed` indicates that the vector store is ready for use. - type: string - enum: ["expired", "in_progress", "completed"] - expires_after: - $ref: "#/components/schemas/VectorStoreExpirationAfter" - expires_at: - description: The Unix timestamp (in seconds) for when the vector store will expire. - type: integer - nullable: true - last_active_at: - description: The Unix timestamp (in seconds) for when the vector store was last active. - type: integer - nullable: true - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - required: - - id - - object - - usage_bytes - - created_at - - status - - last_active_at - - name - - file_counts - - metadata - x-oaiMeta: - name: The vector store object - beta: true - example: | - { - "id": "vs_123", - "object": "vector_store", - "created_at": 1698107661, - "usage_bytes": 123456, - "last_active_at": 1698107661, - "name": "my_vector_store", - "status": "completed", - "file_counts": { - "in_progress": 0, - "completed": 100, - "cancelled": 0, - "failed": 0, - "total": 100 - }, - "metadata": {}, - "last_used_at": 1698107661 - } - - CreateVectorStoreRequest: - type: object - additionalProperties: false - properties: - file_ids: - description: A list of [File](/docs/api-reference/files) IDs that the vector store should use. Useful for tools like `file_search` that can access files. - type: array - maxItems: 500 - items: - type: string - name: - description: The name of the vector store. - type: string - expires_after: - $ref: "#/components/schemas/VectorStoreExpirationAfter" - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - - UpdateVectorStoreRequest: - type: object - additionalProperties: false - properties: - name: - description: The name of the vector store. - type: string - nullable: true - expires_after: - $ref: "#/components/schemas/VectorStoreExpirationAfter" - nullable: true - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - - ListVectorStoresResponse: - properties: - object: - type: string - example: "list" - data: - type: array - items: - $ref: "#/components/schemas/VectorStoreObject" - first_id: - type: string - example: "vs_abc123" - last_id: - type: string - example: "vs_abc456" - has_more: - type: boolean - example: false - required: - - object - - data - - first_id - - last_id - - has_more - - DeleteVectorStoreResponse: - type: object - properties: - id: - type: string - deleted: - type: boolean - object: - type: string - enum: [vector_store.deleted] - required: - - id - - object - - deleted - - VectorStoreFileObject: - type: object - title: Vector store files - description: A list of files attached to a vector store. - properties: - id: - description: The identifier, which can be referenced in API endpoints. - type: string - object: - description: The object type, which is always `vector_store.file`. - type: string - enum: ["vector_store.file"] - usage_bytes: - description: The total vector store usage in bytes. Note that this may be different from the original file size. - type: integer - created_at: - description: The Unix timestamp (in seconds) for when the vector store file was created. - type: integer - vector_store_id: - description: The ID of the [vector store](/docs/api-reference/vector-stores/object) that the [File](/docs/api-reference/files) is attached to. - type: string - status: - description: The status of the vector store file, which can be either `in_progress`, `completed`, `cancelled`, or `failed`. The status `completed` indicates that the vector store file is ready for use. - type: string - enum: ["in_progress", "completed", "cancelled", "failed"] - last_error: - type: object - description: The last error associated with this vector store file. Will be `null` if there are no errors. - nullable: true - properties: - code: - type: string - description: One of `server_error` or `rate_limit_exceeded`. - enum: - [ - "internal_error", - "file_not_found", - "parsing_error", - "unhandled_mime_type", - ] - message: - type: string - description: A human-readable description of the error. - required: - - code - - message - required: - - id - - object - - usage_bytes - - created_at - - vector_store_id - - status - - last_error - x-oaiMeta: - name: The vector store file object - beta: true - example: | - { - "id": "file-abc123", - "object": "vector_store.file", - "usage_bytes": 1234, - "created_at": 1698107661, - "vector_store_id": "vs_abc123", - "status": "completed", - "last_error": null - } - - CreateVectorStoreFileRequest: - type: object - additionalProperties: false - properties: - file_id: - description: A [File](/docs/api-reference/files) ID that the vector store should use. Useful for tools like `file_search` that can access files. - type: string - required: - - file_id - - ListVectorStoreFilesResponse: - properties: - object: - type: string - example: "list" - data: - type: array - items: - $ref: "#/components/schemas/VectorStoreFileObject" - first_id: - type: string - example: "file-abc123" - last_id: - type: string - example: "file-abc456" - has_more: - type: boolean - example: false - required: - - object - - data - - first_id - - last_id - - has_more - - DeleteVectorStoreFileResponse: - type: object - properties: - id: - type: string - deleted: - type: boolean - object: - type: string - enum: [vector_store.file.deleted] - required: - - id - - object - - deleted - - VectorStoreFileBatchObject: - type: object - title: Vector store file batch - description: A batch of files attached to a vector store. - properties: - id: - description: The identifier, which can be referenced in API endpoints. - type: string - object: - description: The object type, which is always `vector_store.file_batch`. - type: string - enum: ["vector_store.files_batch"] - created_at: - description: The Unix timestamp (in seconds) for when the vector store files batch was created. - type: integer - vector_store_id: - description: The ID of the [vector store](/docs/api-reference/vector-stores/object) that the [File](/docs/api-reference/files) is attached to. - type: string - status: - description: The status of the vector store files batch, which can be either `in_progress`, `completed`, `cancelled` or `failed`. - type: string - enum: ["in_progress", "completed", "cancelled", "failed"] - file_counts: - type: object - properties: - in_progress: - description: The number of files that are currently being processed. - type: integer - completed: - description: The number of files that have been processed. - type: integer - failed: - description: The number of files that have failed to process. - type: integer - cancelled: - description: The number of files that where cancelled. - type: integer - total: - description: The total number of files. - type: integer - required: - - in_progress - - completed - - cancelled - - failed - - total - required: - - id - - object - - created_at - - vector_store_id - - status - - file_counts - x-oaiMeta: - name: The vector store files batch object - beta: true - example: | - { - "id": "vsfb_123", - "object": "vector_store.files_batch", - "created_at": 1698107661, - "vector_store_id": "vs_abc123", - "status": "completed", - "file_counts": { - "in_progress": 0, - "completed": 100, - "failed": 0, - "cancelled": 0, - "total": 100 - } - } - - CreateVectorStoreFileBatchRequest: - type: object - additionalProperties: false - properties: - file_ids: - description: A list of [File](/docs/api-reference/files) IDs that the vector store should use. Useful for tools like `file_search` that can access files. - type: array - minItems: 1 - maxItems: 500 - items: - type: string - required: - - file_ids - - AssistantStreamEvent: - description: | - Represents an event emitted when streaming a Run. - - Each event in a server-sent events stream has an `event` and `data` property: - - ``` - event: thread.created - data: {"id": "thread_123", "object": "thread", ...} - ``` - - We emit events whenever a new object is created, transitions to a new state, or is being - streamed in parts (deltas). For example, we emit `thread.run.created` when a new run - is created, `thread.run.completed` when a run completes, and so on. When an Assistant chooses - to create a message during a run, we emit a `thread.message.created event`, a - `thread.message.in_progress` event, many `thread.message.delta` events, and finally a - `thread.message.completed` event. - - We may add additional events over time, so we recommend handling unknown events gracefully - in your code. See the [Assistants API quickstart](/docs/assistants/overview) to learn how to - integrate the Assistants API with streaming. - oneOf: - - $ref: "#/components/schemas/ThreadStreamEvent" - - $ref: "#/components/schemas/RunStreamEvent" - - $ref: "#/components/schemas/RunStepStreamEvent" - - $ref: "#/components/schemas/MessageStreamEvent" - - $ref: "#/components/schemas/ErrorEvent" - - $ref: "#/components/schemas/DoneEvent" - x-oaiMeta: - name: Assistant stream events - beta: true - - ThreadStreamEvent: - oneOf: - - type: object - properties: - event: - type: string - enum: ["thread.created"] - data: - $ref: "#/components/schemas/ThreadObject" - required: - - event - - data - description: Occurs when a new [thread](/docs/api-reference/threads/object) is created. - x-oaiMeta: - dataDescription: "`data` is a [thread](/docs/api-reference/threads/object)" - - RunStreamEvent: - oneOf: - - type: object - properties: - event: - type: string - enum: ["thread.run.created"] - data: - $ref: "#/components/schemas/RunObject" - required: - - event - - data - description: Occurs when a new [run](/docs/api-reference/runs/object) is created. - x-oaiMeta: - dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" - - type: object - properties: - event: - type: string - enum: ["thread.run.queued"] - data: - $ref: "#/components/schemas/RunObject" - required: - - event - - data - description: Occurs when a [run](/docs/api-reference/runs/object) moves to a `queued` status. - x-oaiMeta: - dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" - - type: object - properties: - event: - type: string - enum: ["thread.run.in_progress"] - data: - $ref: "#/components/schemas/RunObject" - required: - - event - - data - description: Occurs when a [run](/docs/api-reference/runs/object) moves to an `in_progress` status. - x-oaiMeta: - dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" - - type: object - properties: - event: - type: string - enum: ["thread.run.requires_action"] - data: - $ref: "#/components/schemas/RunObject" - required: - - event - - data - description: Occurs when a [run](/docs/api-reference/runs/object) moves to a `requires_action` status. - x-oaiMeta: - dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" - - type: object - properties: - event: - type: string - enum: ["thread.run.completed"] - data: - $ref: "#/components/schemas/RunObject" - required: - - event - - data - description: Occurs when a [run](/docs/api-reference/runs/object) is completed. - x-oaiMeta: - dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" - - type: object - properties: - event: - type: string - enum: ["thread.run.failed"] - data: - $ref: "#/components/schemas/RunObject" - required: - - event - - data - description: Occurs when a [run](/docs/api-reference/runs/object) fails. - x-oaiMeta: - dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" - - type: object - properties: - event: - type: string - enum: ["thread.run.cancelling"] - data: - $ref: "#/components/schemas/RunObject" - required: - - event - - data - description: Occurs when a [run](/docs/api-reference/runs/object) moves to a `cancelling` status. - x-oaiMeta: - dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" - - type: object - properties: - event: - type: string - enum: ["thread.run.cancelled"] - data: - $ref: "#/components/schemas/RunObject" - required: - - event - - data - description: Occurs when a [run](/docs/api-reference/runs/object) is cancelled. - x-oaiMeta: - dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" - - type: object - properties: - event: - type: string - enum: ["thread.run.expired"] - data: - $ref: "#/components/schemas/RunObject" - required: - - event - - data - description: Occurs when a [run](/docs/api-reference/runs/object) expires. - x-oaiMeta: - dataDescription: "`data` is a [run](/docs/api-reference/runs/object)" - - RunStepStreamEvent: - oneOf: - - type: object - properties: - event: - type: string - enum: ["thread.run.step.created"] - data: - $ref: "#/components/schemas/RunStepObject" - required: - - event - - data - description: Occurs when a [run step](/docs/api-reference/runs/step-object) is created. - x-oaiMeta: - dataDescription: "`data` is a [run step](/docs/api-reference/runs/step-object)" - - type: object - properties: - event: - type: string - enum: ["thread.run.step.in_progress"] - data: - $ref: "#/components/schemas/RunStepObject" - required: - - event - - data - description: Occurs when a [run step](/docs/api-reference/runs/step-object) moves to an `in_progress` state. - x-oaiMeta: - dataDescription: "`data` is a [run step](/docs/api-reference/runs/step-object)" - - type: object - properties: - event: - type: string - enum: ["thread.run.step.delta"] - data: - $ref: "#/components/schemas/RunStepDeltaObject" - required: - - event - - data - description: Occurs when parts of a [run step](/docs/api-reference/runs/step-object) are being streamed. - x-oaiMeta: - dataDescription: "`data` is a [run step delta](/docs/api-reference/assistants-streaming/run-step-delta-object)" - - type: object - properties: - event: - type: string - enum: ["thread.run.step.completed"] - data: - $ref: "#/components/schemas/RunStepObject" - required: - - event - - data - description: Occurs when a [run step](/docs/api-reference/runs/step-object) is completed. - x-oaiMeta: - dataDescription: "`data` is a [run step](/docs/api-reference/runs/step-object)" - - type: object - properties: - event: - type: string - enum: ["thread.run.step.failed"] - data: - $ref: "#/components/schemas/RunStepObject" - required: - - event - - data - description: Occurs when a [run step](/docs/api-reference/runs/step-object) fails. - x-oaiMeta: - dataDescription: "`data` is a [run step](/docs/api-reference/runs/step-object)" - - type: object - properties: - event: - type: string - enum: ["thread.run.step.cancelled"] - data: - $ref: "#/components/schemas/RunStepObject" - required: - - event - - data - description: Occurs when a [run step](/docs/api-reference/runs/step-object) is cancelled. - x-oaiMeta: - dataDescription: "`data` is a [run step](/docs/api-reference/runs/step-object)" - - type: object - properties: - event: - type: string - enum: ["thread.run.step.expired"] - data: - $ref: "#/components/schemas/RunStepObject" - required: - - event - - data - description: Occurs when a [run step](/docs/api-reference/runs/step-object) expires. - x-oaiMeta: - dataDescription: "`data` is a [run step](/docs/api-reference/runs/step-object)" - - MessageStreamEvent: - oneOf: - - type: object - properties: - event: - type: string - enum: ["thread.message.created"] - data: - $ref: "#/components/schemas/MessageObject" - required: - - event - - data - description: Occurs when a [message](/docs/api-reference/messages/object) is created. - x-oaiMeta: - dataDescription: "`data` is a [message](/docs/api-reference/messages/object)" - - type: object - properties: - event: - type: string - enum: ["thread.message.in_progress"] - data: - $ref: "#/components/schemas/MessageObject" - required: - - event - - data - description: Occurs when a [message](/docs/api-reference/messages/object) moves to an `in_progress` state. - x-oaiMeta: - dataDescription: "`data` is a [message](/docs/api-reference/messages/object)" - - type: object - properties: - event: - type: string - enum: ["thread.message.delta"] - data: - $ref: "#/components/schemas/MessageDeltaObject" - required: - - event - - data - description: Occurs when parts of a [Message](/docs/api-reference/messages/object) are being streamed. - x-oaiMeta: - dataDescription: "`data` is a [message delta](/docs/api-reference/assistants-streaming/message-delta-object)" - - type: object - properties: - event: - type: string - enum: ["thread.message.completed"] - data: - $ref: "#/components/schemas/MessageObject" - required: - - event - - data - description: Occurs when a [message](/docs/api-reference/messages/object) is completed. - x-oaiMeta: - dataDescription: "`data` is a [message](/docs/api-reference/messages/object)" - - type: object - properties: - event: - type: string - enum: ["thread.message.incomplete"] - data: - $ref: "#/components/schemas/MessageObject" - required: - - event - - data - description: Occurs when a [message](/docs/api-reference/messages/object) ends before it is completed. - x-oaiMeta: - dataDescription: "`data` is a [message](/docs/api-reference/messages/object)" - - ErrorEvent: - type: object - properties: - event: - type: string - enum: ["error"] - data: - $ref: "#/components/schemas/Error" - required: - - event - - data - description: Occurs when an [error](/docs/guides/error-codes/api-errors) occurs. This can happen due to an internal server error or a timeout. - x-oaiMeta: - dataDescription: "`data` is an [error](/docs/guides/error-codes/api-errors)" - - DoneEvent: - type: object - properties: - event: - type: string - enum: ["done"] - data: - type: string - enum: ["[DONE]"] - required: - - event - - data - description: Occurs when a stream ends. - x-oaiMeta: - dataDescription: "`data` is `[DONE]`" - - Batch: - type: object - properties: - id: - type: string - object: - type: string - enum: [batch] - description: The object type, which is always `batch`. - endpoint: - type: string - description: The OpenAI API endpoint used by the batch. - - errors: - type: object - properties: - object: - type: string - description: The object type, which is always `list`. - data: - type: array - items: - type: object - properties: - code: - type: string - description: An error code identifying the error type. - message: - type: string - description: A human-readable message providing more details about the error. - param: - type: string - description: The name of the parameter that caused the error, if applicable. - nullable: true - line: - type: integer - description: The line number of the input file where the error occurred, if applicable. - nullable: true - input_file_id: - type: string - description: The ID of the input file for the batch. - completion_window: - type: string - description: The time frame within which the batch should be processed. - status: - type: string - description: The current status of the batch. - enum: - - validating - - failed - - in_progress - - finalizing - - completed - - expired - - cancelling - - cancelled - output_file_id: - type: string - description: The ID of the file containing the outputs of successfully executed requests. - error_file_id: - type: string - description: The ID of the file containing the outputs of requests with errors. - created_at: - type: integer - description: The Unix timestamp (in seconds) for when the batch was created. - in_progress_at: - type: integer - description: The Unix timestamp (in seconds) for when the batch started processing. - expires_at: - type: integer - description: The Unix timestamp (in seconds) for when the batch will expire. - finalizing_at: - type: integer - description: The Unix timestamp (in seconds) for when the batch started finalizing. - completed_at: - type: integer - description: The Unix timestamp (in seconds) for when the batch was completed. - failed_at: - type: integer - description: The Unix timestamp (in seconds) for when the batch failed. - expired_at: - type: integer - description: The Unix timestamp (in seconds) for when the batch expired. - cancelling_at: - type: integer - description: The Unix timestamp (in seconds) for when the batch started cancelling. - cancelled_at: - type: integer - description: The Unix timestamp (in seconds) for when the batch was cancelled. - request_counts: - type: object - properties: - total: - type: integer - description: Total number of requests in the batch. - completed: - type: integer - description: Number of requests that have been completed successfully. - failed: - type: integer - description: Number of requests that have failed. - required: - - total - - completed - - failed - description: The request counts for different statuses within the batch. - metadata: - description: *metadata_description - type: object - x-oaiTypeLabel: map - nullable: true - required: - - id - - object - - endpoint - - input_file_id - - completion_window - - status - - created_at - x-oaiMeta: - name: The batch object - example: *batch_object - - BatchRequestInput: - type: object - description: The per-line object of the batch input file - properties: - custom_id: - type: string - description: A developer-provided per-request id that will be used to match outputs to inputs. Must be unique for each request in a batch. - method: - type: string - enum: ["POST"] - description: The HTTP method to be used for the request. Currently only `POST` is supported. - url: - type: string - description: The OpenAI API relative URL to be used for the request. Currently `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions` are supported. - x-oaiMeta: - name: The request input object - example: | - {"custom_id": "request-1", "method": "POST", "url": "/v1/chat/completions", "body": {"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "What is 2+2?"}]}} - - BatchRequestOutput: - type: object - description: The per-line object of the batch output and error files - properties: - id: - type: string - custom_id: - type: string - description: A developer-provided per-request id that will be used to match outputs to inputs. - response: - type: object - nullable: true - properties: - status_code: - type: integer - description: The HTTP status code of the response - request_id: - type: string - description: An unique identifier for the OpenAI API request. Please include this request ID when contacting support. - body: - type: object - x-oaiTypeLabel: map - description: The JSON body of the response - error: - type: object - nullable: true - description: For requests that failed with a non-HTTP error, this will contain more information on the cause of the failure. - properties: - code: - type: string - description: A machine-readable error code. - message: - type: string - description: A human-readable error message. - x-oaiMeta: - name: The request output object - example: | - {"id": "batch_req_wnaDys", "custom_id": "request-2", "response": {"status_code": 200, "request_id": "req_c187b3", "body": {"id": "chatcmpl-9758Iw", "object": "chat.completion", "created": 1711475054, "model": "gpt-3.5-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "2 + 2 equals 4."}, "finish_reason": "stop"}], "usage": {"prompt_tokens": 24, "completion_tokens": 15, "total_tokens": 39}, "system_fingerprint": null}}, "error": null} - - ListBatchesResponse: - type: object - properties: - data: - type: array - items: - $ref: "#/components/schemas/Batch" - first_id: - type: string - example: "batch_abc123" - last_id: - type: string - example: "batch_abc456" - has_more: - type: boolean - object: - type: string - enum: [list] - required: - - object - - data - - has_more - -security: - - ApiKeyAuth: [] - -x-oaiMeta: - navigationGroups: - - id: endpoints - title: Endpoints - - id: assistants - title: Assistants - - id: legacy - title: Legacy - groups: - # > General Notes - # The `groups` section is used to generate the API reference pages and navigation, in the same - # order listed below. Additionally, each `group` can have a list of `sections`, each of which - # will become a navigation subroute and subsection under the group. Each section has: - # - `type`: Currently, either an `endpoint` or `object`, depending on how the section needs to - # be rendered - # - `key`: The reference key that can be used to lookup the section definition - # - `path`: The path (url) of the section, which is used to generate the navigation link. - # - # > The `object` sections maps to a schema component and the following fields are read for rendering - # - `x-oaiMeta.name`: The name of the object, which will become the section title - # - `x-oaiMeta.example`: The example object, which will be used to generate the example sample (always JSON) - # - `description`: The description of the object, which will be used to generate the section description - # - # > The `endpoint` section maps to an operation path and the following fields are read for rendering: - # - `x-oaiMeta.name`: The name of the endpoint, which will become the section title - # - `x-oaiMeta.examples`: The endpoint examples, which can be an object (meaning a single variation, most - # endpoints, or an array of objects, meaning multiple variations, e.g. the - # chat completion and completion endpoints, with streamed and non-streamed examples. - # - `x-oaiMeta.returns`: text describing what the endpoint returns. - # - `summary`: The summary of the endpoint, which will be used to generate the section description - - id: audio - title: Audio - description: | - Learn how to turn audio into text or text into audio. - - Related guide: [Speech to text](/docs/guides/speech-to-text) - navigationGroup: endpoints - sections: - - type: endpoint - key: createSpeech - path: createSpeech - - type: endpoint - key: createTranscription - path: createTranscription - - type: endpoint - key: createTranslation - path: createTranslation - - type: object - key: CreateTranscriptionResponseJson - path: json-object - - type: object - key: CreateTranscriptionResponseVerboseJson - path: verbose-json-object - - id: chat - title: Chat - description: | - Given a list of messages comprising a conversation, the model will return a response. - - Related guide: [Chat Completions](/docs/guides/text-generation) - navigationGroup: endpoints - sections: - - type: endpoint - key: createChatCompletion - path: create - - type: object - key: CreateChatCompletionResponse - path: object - - type: object - key: CreateChatCompletionStreamResponse - path: streaming - - id: embeddings - title: Embeddings - description: | - Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. - - Related guide: [Embeddings](/docs/guides/embeddings) - navigationGroup: endpoints - sections: - - type: endpoint - key: createEmbedding - path: create - - type: object - key: Embedding - path: object - - id: fine-tuning - title: Fine-tuning - description: | - Manage fine-tuning jobs to tailor a model to your specific training data. - - Related guide: [Fine-tune models](/docs/guides/fine-tuning) - navigationGroup: endpoints - sections: - - type: endpoint - key: createFineTuningJob - path: create - - type: endpoint - key: listPaginatedFineTuningJobs - path: list - - type: endpoint - key: listFineTuningEvents - path: list-events - - type: endpoint - key: listFineTuningJobCheckpoints - path: list-checkpoints - - type: endpoint - key: retrieveFineTuningJob - path: retrieve - - type: endpoint - key: cancelFineTuningJob - path: cancel - - type: object - key: FineTuningJob - path: object - - type: object - key: FineTuningJobEvent - path: event-object - - type: object - key: FineTuningJobCheckpoint - path: checkpoint-object - - id: batch - title: Batch - description: | - Create large batches of API requests for asynchronous processing. The Batch API returns completions within 24 hours for a 50% discount. - - Related guide: [Batch](/docs/guides/batch) - navigationGroup: endpoints - sections: - - type: endpoint - key: createBatch - path: create - - type: endpoint - key: retrieveBatch - path: retrieve - - type: endpoint - key: cancelBatch - path: cancel - - type: endpoint - key: listBatches - path: list - - type: object - key: Batch - path: object - - type: object - key: BatchRequestInput - path: requestInput - - type: object - key: BatchRequestOutput - path: requestOutput - - id: files - title: Files - description: | - Files are used to upload documents that can be used with features like [Assistants](/docs/api-reference/assistants), [Fine-tuning](/docs/api-reference/fine-tuning), and [Batch API](/docs/guides/batch). - navigationGroup: endpoints - sections: - - type: endpoint - key: createFile - path: create - - type: endpoint - key: listFiles - path: list - - type: endpoint - key: retrieveFile - path: retrieve - - type: endpoint - key: deleteFile - path: delete - - type: endpoint - key: downloadFile - path: retrieve-contents - - type: object - key: OpenAIFile - path: object - - id: images - title: Images - description: | - Given a prompt and/or an input image, the model will generate a new image. - - Related guide: [Image generation](/docs/guides/images) - navigationGroup: endpoints - sections: - - type: endpoint - key: createImage - path: create - - type: endpoint - key: createImageEdit - path: createEdit - - type: endpoint - key: createImageVariation - path: createVariation - - type: object - key: Image - path: object - - id: models - title: Models - description: | - List and describe the various models available in the API. You can refer to the [Models](/docs/models) documentation to understand what models are available and the differences between them. - navigationGroup: endpoints - sections: - - type: endpoint - key: listModels - path: list - - type: endpoint - key: retrieveModel - path: retrieve - - type: endpoint - key: deleteModel - path: delete - - type: object - key: Model - path: object - - id: moderations - title: Moderations - description: | - Given some input text, outputs if the model classifies it as potentially harmful across several categories. - - Related guide: [Moderations](/docs/guides/moderation) - navigationGroup: endpoints - sections: - - type: endpoint - key: createModeration - path: create - - type: object - key: CreateModerationResponse - path: object - - id: assistants - title: Assistants - beta: true - description: | - Build assistants that can call models and use tools to perform tasks. - - [Get started with the Assistants API](/docs/assistants) - navigationGroup: assistants - sections: - - type: endpoint - key: createAssistant - path: createAssistant - - type: endpoint - key: listAssistants - path: listAssistants - - type: endpoint - key: getAssistant - path: getAssistant - - type: endpoint - key: modifyAssistant - path: modifyAssistant - - type: endpoint - key: deleteAssistant - path: deleteAssistant - - type: object - key: AssistantObject - path: object - - id: threads - title: Threads - beta: true - description: | - Create threads that assistants can interact with. - - Related guide: [Assistants](/docs/assistants/overview) - navigationGroup: assistants - sections: - - type: endpoint - key: createThread - path: createThread - - type: endpoint - key: getThread - path: getThread - - type: endpoint - key: modifyThread - path: modifyThread - - type: endpoint - key: deleteThread - path: deleteThread - - type: object - key: ThreadObject - path: object - - id: messages - title: Messages - beta: true - description: | - Create messages within threads - - Related guide: [Assistants](/docs/assistants/overview) - navigationGroup: assistants - sections: - - type: endpoint - key: createMessage - path: createMessage - - type: endpoint - key: listMessages - path: listMessages - - type: endpoint - key: getMessage - path: getMessage - - type: endpoint - key: modifyMessage - path: modifyMessage - - type: endpoint - key: deleteMessage - path: deleteMessage - - type: object - key: MessageObject - path: object - - id: runs - title: Runs - beta: true - description: | - Represents an execution run on a thread. - - Related guide: [Assistants](/docs/assistants/overview) - navigationGroup: assistants - sections: - - type: endpoint - key: createRun - path: createRun - - type: endpoint - key: createThreadAndRun - path: createThreadAndRun - - type: endpoint - key: listRuns - path: listRuns - - type: endpoint - key: getRun - path: getRun - - type: endpoint - key: modifyRun - path: modifyRun - - type: endpoint - key: submitToolOuputsToRun - path: submitToolOutputs - - type: endpoint - key: cancelRun - path: cancelRun - - type: object - key: RunObject - path: object - - id: run-steps - title: Run Steps - beta: true - description: | - Represents the steps (model and tool calls) taken during the run. - - Related guide: [Assistants](/docs/assistants/overview) - navigationGroup: assistants - sections: - - type: endpoint - key: listRunSteps - path: listRunSteps - - type: endpoint - key: getRunStep - path: getRunStep - - type: object - key: RunStepObject - path: step-object - - id: vector-stores - title: Vector Stores - beta: true - description: | - Vector stores are used to store files for use by the `file_search` tool. - - Related guide: [File Search](/docs/assistants/tools/file-search) - navigationGroup: assistants - sections: - - type: endpoint - key: createVectorStore - path: create - - type: endpoint - key: listVectorStores - path: list - - type: endpoint - key: getVectorStore - path: retrieve - - type: endpoint - key: modifyVectorStore - path: modify - - type: endpoint - key: deleteVectorStore - path: delete - - type: object - key: VectorStoreObject - path: object - - id: vector-stores-files - title: Vector Store Files - beta: true - description: | - Vector store files represent files inside a vector store. - - Related guide: [File Search](/docs/assistants/tools/file-search) - navigationGroup: assistants - sections: - - type: endpoint - key: createVectorStoreFile - path: createFile - - type: endpoint - key: listVectorStoreFiles - path: listFiles - - type: endpoint - key: getVectorStoreFile - path: getFile - - type: endpoint - key: deleteVectorStoreFile - path: deleteFile - - type: object - key: VectorStoreFileObject - path: file-object - - id: vector-stores-file-batches - title: Vector Store File Batches - beta: true - description: | - Vector store file batches represent operations to add multiple files to a vector store. - - Related guide: [File Search](/docs/assistants/tools/file-search) - navigationGroup: assistants - sections: - - type: endpoint - key: createVectorStoreFileBatch - path: createBatch - - type: endpoint - key: getVectorStoreFileBatch - path: getBatch - - type: endpoint - key: cancelVectorStoreFileBatch - path: cancelBatch - - type: endpoint - key: listFilesInVectorStoreBatch - path: listBatchFiles - - type: object - key: VectorStoreFileBatchObject - path: batch-object - - id: assistants-streaming - title: Streaming - beta: true - description: | - Stream the result of executing a Run or resuming a Run after submitting tool outputs. - - You can stream events from the [Create Thread and Run](/docs/api-reference/runs/createThreadAndRun), - [Create Run](/docs/api-reference/runs/createRun), and [Submit Tool Outputs](/docs/api-reference/runs/submitToolOutputs) - endpoints by passing `"stream": true`. The response will be a [Server-Sent events](https://html.spec.whatwg.org/multipage/server-sent-events.html#server-sent-events) stream. - - Our Node and Python SDKs provide helpful utilities to make streaming easy. Reference the - [Assistants API quickstart](/docs/assistants/overview) to learn more. - navigationGroup: assistants - sections: - - type: object - key: MessageDeltaObject - path: message-delta-object - - type: object - key: RunStepDeltaObject - path: run-step-delta-object - - type: object - key: AssistantStreamEvent - path: events - - id: completions - title: Completions - legacy: true - navigationGroup: legacy - description: | - Given a prompt, the model will return one or more predicted completions along with the probabilities of alternative tokens at each position. Most developer should use our [Chat Completions API](/docs/guides/text-generation/text-generation-models) to leverage our best and newest models. - sections: - - type: endpoint - key: createCompletion - path: create - - type: object - key: CreateCompletionResponse - path: object + Given a prompt, the model will return one or more predicted completions along with the probabilities of alternative tokens at each position. Most developer should use our [Chat Completions API](/docs/guides/text-generation/text-generation-models) to leverage our best and newest models. + sections: + - type: endpoint + key: createCompletion + path: create + - type: object + key: CreateCompletionResponse + path: object From 46a4d4f466e541a39f0e3218e74b02640c594176 Mon Sep 17 00:00:00 2001 From: David Vega Lichacz <7826728+realdavidvega@users.noreply.github.com> Date: Thu, 22 Aug 2024 18:37:46 +0200 Subject: [PATCH 22/29] feat: expose and add default Json serialization to ToolConfig (#778) Co-authored-by: Francisco Diaz --- .../xef/llm/assistants/Assistant.kt | 20 ++++++++++++++++--- .../functional/xef/llm/assistants/Tool.kt | 4 +++- 2 files changed, 20 insertions(+), 4 deletions(-) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt index 55e6ae86e..484e1492b 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt @@ -1,7 +1,21 @@ package com.xebia.functional.xef.llm.assistants import com.xebia.functional.openai.generated.api.Assistants -import com.xebia.functional.openai.generated.model.* +import com.xebia.functional.openai.generated.model.AssistantObject +import com.xebia.functional.openai.generated.model.AssistantObjectToolsInner +import com.xebia.functional.openai.generated.model.AssistantToolsCode +import com.xebia.functional.openai.generated.model.AssistantToolsFileSearch +import com.xebia.functional.openai.generated.model.AssistantToolsFunction +import com.xebia.functional.openai.generated.model.CreateAssistantRequest +import com.xebia.functional.openai.generated.model.CreateAssistantRequestModel +import com.xebia.functional.openai.generated.model.CreateAssistantRequestToolResources +import com.xebia.functional.openai.generated.model.CreateAssistantRequestToolResourcesCodeInterpreter +import com.xebia.functional.openai.generated.model.CreateAssistantRequestToolResourcesFileSearch +import com.xebia.functional.openai.generated.model.FunctionObject +import com.xebia.functional.openai.generated.model.ModifyAssistantRequest +import com.xebia.functional.openai.generated.model.ModifyAssistantRequestToolResources +import com.xebia.functional.openai.generated.model.ModifyAssistantRequestToolResourcesCodeInterpreter +import com.xebia.functional.openai.generated.model.ModifyAssistantRequestToolResourcesFileSearch import com.xebia.functional.xef.Config import com.xebia.functional.xef.OpenAI import com.xebia.functional.xef.llm.assistants.AssistantThread.Companion.defaultConfig @@ -51,14 +65,14 @@ class Assistant( val toolConfig = toolsConfig.firstOrNull { it.functionObject.name == name } val toolSerializer = toolConfig?.serializers ?: error("Function $name not registered") - val input = config.json.decodeFromString(toolSerializer.inputSerializer, args) + val input = toolConfig.json.decodeFromString(toolSerializer.inputSerializer, args) val tool: Tool = toolConfig.tool as Tool val schema = buildJsonSchema(toolSerializer.outputSerializer.descriptor) val output: Any? = tool(input) val result = - config.json.encodeToJsonElement( + toolConfig.json.encodeToJsonElement( toolSerializer.outputSerializer as KSerializer, output ) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Tool.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Tool.kt index 0fa92b3b5..7373026e7 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Tool.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Tool.kt @@ -4,6 +4,7 @@ import com.xebia.functional.openai.generated.model.FunctionObject import com.xebia.functional.xef.llm.chatFunction import com.xebia.functional.xef.llm.defaultFunctionDescription import kotlinx.serialization.KSerializer +import kotlinx.serialization.json.Json import kotlinx.serialization.serializer fun interface Tool { @@ -14,7 +15,8 @@ fun interface Tool { data class ToolConfig( val functionObject: FunctionObject, val serializers: ToolSerializer, - val tool: Tool + val tool: Tool, + val json: Json = Json.Default ) data class ToolSerializer( From 220981e6053ff52e59cf5ff9de80469ebc485b24 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Carlos=20Monta=C3=B1ez?= Date: Wed, 4 Sep 2024 16:02:40 +0200 Subject: [PATCH 23/29] Add counters to Metric (#784) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * added metrics * added logger in in-memory-metrics * removed decrement and added attributes * Apply spotless formatting * Update examples/src/main/kotlin/com/xebia/functional/xef/assistants/DSL.kt Co-authored-by: Francisco Diaz --------- Co-authored-by: José Carlos Montañez Co-authored-by: Montagon Co-authored-by: Francisco Diaz --- .../functional/xef/metrics/CounterMetric.kt | 7 +++++++ .../xef/metrics/InMemoryCounterMetric.kt | 20 +++++++++++++++++++ .../functional/xef/metrics/LogsMetric.kt | 16 ++++++++++++++- .../xebia/functional/xef/metrics/Metric.kt | 8 ++++++++ .../xebia/functional/xef/assistants/DSL.kt | 3 ++- .../opentelemetry/docker}/docker-compose.yml | 0 .../docker}/otel-collector-config.yaml | 0 .../opentelemetry/docker}/prometheus.yaml | 0 .../xef/opentelemetry/OpenTelemetryCounter.kt | 17 ++++++++++++++++ .../xef/opentelemetry/OpenTelemetryMetric.kt | 17 ++++++++++++++++ 10 files changed, 86 insertions(+), 2 deletions(-) create mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/CounterMetric.kt create mode 100644 core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/InMemoryCounterMetric.kt rename {server/docker/opentelemetry => integrations/opentelemetry/docker}/docker-compose.yml (100%) rename {server/docker/opentelemetry => integrations/opentelemetry/docker}/otel-collector-config.yaml (100%) rename {server/docker/opentelemetry => integrations/opentelemetry/docker}/prometheus.yaml (100%) create mode 100644 integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryCounter.kt diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/CounterMetric.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/CounterMetric.kt new file mode 100644 index 000000000..bf74f12a3 --- /dev/null +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/CounterMetric.kt @@ -0,0 +1,7 @@ +package com.xebia.functional.xef.metrics + +interface CounterMetric { + fun increment(n: Long) + + fun increment(n: Long, attributes: Map) +} diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/InMemoryCounterMetric.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/InMemoryCounterMetric.kt new file mode 100644 index 000000000..7cd302fb3 --- /dev/null +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/InMemoryCounterMetric.kt @@ -0,0 +1,20 @@ +package com.xebia.functional.xef.metrics + +import arrow.atomic.AtomicLong +import io.github.oshai.kotlinlogging.KLogger + +class InMemoryCounterMetric(val name: String, val logger: KLogger) : CounterMetric { + private val count = AtomicLong(0) + + override fun increment(n: Long) { + count.incrementAndGet() + logger.info { "Counter $name incremented to ${count.get()}" } + } + + override fun increment(n: Long, attributes: Map) { + count.addAndGet(n) + logger.info { + "Counter $name incremented to ${count.get()} with those attributes: ${attributes.entries.joinToString( ",")}" + } + } +} diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/LogsMetric.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/LogsMetric.kt index c64c4d194..ac18ca81f 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/LogsMetric.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/LogsMetric.kt @@ -18,6 +18,8 @@ class LogsMetric(private val level: Level = Level.INFO) : Metric { private val logger = KotlinLogging.logger {} + private val countersMap: MutableMap = mutableMapOf() + override suspend fun customSpan( name: String, parameters: Map, @@ -111,5 +113,17 @@ class LogsMetric(private val level: Level = Level.INFO) : Metric { logger.at(level) { message = "${writeIndent(numberOfBlocks.get())}|-- $key = $values" } } - private fun writeIndent(times: Int = 1) = (1..indentSize * times).fold("") { a, b -> "$a " } + override suspend fun createCounter(name: String): CounterMetric { + logger.at(level) { message = "${writeIndent(numberOfBlocks.get())}> Created counter: $name" } + val counter = InMemoryCounterMetric(name, logger) + countersMap[name] = counter + return counter + } + + override suspend fun getCounter(name: String): CounterMetric { + logger.at(level) { message = "${writeIndent(numberOfBlocks.get())}> Get counter: $name" } + return countersMap[name] ?: InMemoryCounterMetric(name, logger) + } + + private fun writeIndent(times: Int = 1) = (1..indentSize * times).fold("") { a, _ -> "$a " } } diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/Metric.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/Metric.kt index e7a1f47f0..3a38359af 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/Metric.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/Metric.kt @@ -26,6 +26,10 @@ interface Metric { suspend fun assistantCreatedMessage(messageObject: MessageObject, source: String) + suspend fun createCounter(name: String): CounterMetric? + + suspend fun getCounter(name: String): CounterMetric? + companion object { val EMPTY: Metric = object : Metric { @@ -52,6 +56,10 @@ interface Metric { override suspend fun parameter(key: String, value: String) {} override suspend fun parameter(key: String, values: List) {} + + override suspend fun createCounter(name: String): CounterMetric? = null + + override suspend fun getCounter(name: String): CounterMetric? = null } } } diff --git a/examples/src/main/kotlin/com/xebia/functional/xef/assistants/DSL.kt b/examples/src/main/kotlin/com/xebia/functional/xef/assistants/DSL.kt index 04c13c081..849c9f5af 100644 --- a/examples/src/main/kotlin/com/xebia/functional/xef/assistants/DSL.kt +++ b/examples/src/main/kotlin/com/xebia/functional/xef/assistants/DSL.kt @@ -42,7 +42,7 @@ suspend fun main() { // - # docker-compose up val metric = com.xebia.functional.xef.metrics.Metric.EMPTY - // val metric = com.xebia.functional.xef.opentelemetry.OpenTelemetryMetric() + val questionsCounter = metric.createCounter("questions-counter") val assistant = Assistant( @@ -54,6 +54,7 @@ suspend fun main() { while (true) { println() val userInput = readln() + questionsCounter?.increment(1) thread.createMessage(userInput) runAssistantAndDisplayResults(thread, assistant) } diff --git a/server/docker/opentelemetry/docker-compose.yml b/integrations/opentelemetry/docker/docker-compose.yml similarity index 100% rename from server/docker/opentelemetry/docker-compose.yml rename to integrations/opentelemetry/docker/docker-compose.yml diff --git a/server/docker/opentelemetry/otel-collector-config.yaml b/integrations/opentelemetry/docker/otel-collector-config.yaml similarity index 100% rename from server/docker/opentelemetry/otel-collector-config.yaml rename to integrations/opentelemetry/docker/otel-collector-config.yaml diff --git a/server/docker/opentelemetry/prometheus.yaml b/integrations/opentelemetry/docker/prometheus.yaml similarity index 100% rename from server/docker/opentelemetry/prometheus.yaml rename to integrations/opentelemetry/docker/prometheus.yaml diff --git a/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryCounter.kt b/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryCounter.kt new file mode 100644 index 000000000..45899bcda --- /dev/null +++ b/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryCounter.kt @@ -0,0 +1,17 @@ +package com.xebia.functional.xef.opentelemetry + +import com.xebia.functional.xef.metrics.CounterMetric +import io.opentelemetry.api.common.Attributes + +class OpenTelemetryCounter(private val longCounter: io.opentelemetry.api.metrics.LongCounter) : + CounterMetric { + override fun increment(n: Long) { + longCounter.add(n) + } + + override fun increment(n: Long, attributes: Map) { + val attributesBuilder = Attributes.builder() + attributes.forEach { (k, v) -> attributesBuilder.put(k, v) } + longCounter.add(n, attributesBuilder.build()) + } +} diff --git a/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryMetric.kt b/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryMetric.kt index 34f859818..a6bdbd7f0 100644 --- a/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryMetric.kt +++ b/integrations/opentelemetry/src/main/kotlin/com/xebia/functional/xef/opentelemetry/OpenTelemetryMetric.kt @@ -3,9 +3,11 @@ package com.xebia.functional.xef.opentelemetry import com.xebia.functional.openai.generated.model.MessageObject import com.xebia.functional.openai.generated.model.RunObject import com.xebia.functional.openai.generated.model.RunStepObject +import com.xebia.functional.xef.metrics.CounterMetric import com.xebia.functional.xef.metrics.Metric import com.xebia.functional.xef.prompt.Prompt import com.xebia.functional.xef.prompt.contentAsString +import io.opentelemetry.api.metrics.Meter import io.opentelemetry.api.trace.* class OpenTelemetryMetric( @@ -18,6 +20,10 @@ class OpenTelemetryMetric( private val assistantState = OpenTelemetryAssistantState(getTracer()) + private val meter = getMeter() + + private val countersMap: MutableMap = mutableMapOf() + override suspend fun customSpan( name: String, parameters: Map, @@ -37,6 +43,14 @@ class OpenTelemetryMetric( block() } + override suspend fun createCounter(counterName: String): CounterMetric { + val counter = OpenTelemetryCounter(meter.counterBuilder(counterName).build()) + countersMap[counterName] = counter + return counter + } + + override suspend fun getCounter(counterName: String): CounterMetric? = countersMap[counterName] + override suspend fun event(message: String) { state.event(message) } @@ -61,4 +75,7 @@ class OpenTelemetryMetric( private fun getTracer(scopeName: String? = null): Tracer = openTelemetry.getTracer(scopeName ?: config.defaultScopeName) + + private fun getMeter(scopeName: String? = null): Meter = + openTelemetry.getMeter(scopeName ?: config.defaultScopeName) } From 1a243cef53b2524b55eb6f24338e0a2ad8b358f0 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Carlos=20Monta=C3=B1ez?= Date: Wed, 4 Sep 2024 17:31:28 +0200 Subject: [PATCH 24/29] increment with the received value (#785) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: José Carlos Montañez --- .../com/xebia/functional/xef/metrics/InMemoryCounterMetric.kt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/InMemoryCounterMetric.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/InMemoryCounterMetric.kt index 7cd302fb3..cd9359813 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/InMemoryCounterMetric.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/metrics/InMemoryCounterMetric.kt @@ -7,7 +7,7 @@ class InMemoryCounterMetric(val name: String, val logger: KLogger) : CounterMetr private val count = AtomicLong(0) override fun increment(n: Long) { - count.incrementAndGet() + count.addAndGet(n) logger.info { "Counter $name incremented to ${count.get()}" } } From f51bbb35cb4c930e98a6c05c9f1f52539a6a44bc Mon Sep 17 00:00:00 2001 From: David Vega Lichacz <7826728+realdavidvega@users.noreply.github.com> Date: Wed, 11 Sep 2024 16:47:40 +0200 Subject: [PATCH 25/29] feat(ModelType): add support for gpt-4o-mini (#787) --- .../kotlin/com/xebia/functional/tokenizer/ModelType.kt | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/ModelType.kt b/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/ModelType.kt index 8b4571a6f..3c0fee90b 100644 --- a/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/ModelType.kt +++ b/tokenizer/src/commonMain/kotlin/com/xebia/functional/tokenizer/ModelType.kt @@ -43,6 +43,7 @@ sealed class ModelType( GPT_4_0613, GPT_4_32K_0613_FUNCTIONS, GPT_4O, + GPT_4O_MINI, GPT_4O_2024_05_13, ) val all: List = listOf( @@ -59,6 +60,7 @@ sealed class ModelType( GPT_4_32_K_0314, GPT_4_32K_0613_FUNCTIONS, GPT_4O, + GPT_4O_MINI, GPT_4O_2024_05_13, GPT_4_TURBO_1106_PREVIEW, GPT_4_VISION_PREVIEW, @@ -149,6 +151,9 @@ sealed class ModelType( object GPT_4O : ModelType("gpt-4o", O200K_BASE, 128000, tokensPerMessage = 3, tokensPerName = 2, tokenPadding = 5) + object GPT_4O_MINI : + ModelType("gpt-4o-mini", O200K_BASE, 128000, tokensPerMessage = 3, tokensPerName = 2, tokenPadding = 5) + object GPT_4O_2024_05_13 : ModelType("gpt-4o-2024-05-13", O200K_BASE, 128000, tokensPerMessage = 3, tokensPerName = 2, tokenPadding = 5) From 0d2574c5a08db846210f7760287b3660a8602b5b Mon Sep 17 00:00:00 2001 From: David Vega Lichacz <7826728+realdavidvega@users.noreply.github.com> Date: Thu, 12 Sep 2024 10:50:36 +0200 Subject: [PATCH 26/29] feat: add support for assistant temperature and top_p (#788) --- .../xef/llm/assistants/Assistant.kt | 16 ++++++++-- .../xef/llm/assistants/AssistantRequest.kt | 32 +++++++++++++++---- .../xef/assistants/LoadFromYamlConfig.kt | 8 ++++- 3 files changed, 46 insertions(+), 10 deletions(-) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt index 484e1492b..1c626147e 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt @@ -98,6 +98,8 @@ class Assistant( tools: List = arrayListOf(), toolResources: CreateAssistantRequestToolResources? = null, metadata: JsonObject? = null, + temperature: Double? = null, + topP: Double? = null, toolsConfig: List> = emptyList(), config: Config = Config(), assistantsApi: Assistants = OpenAI(config, logRequests = false).assistants, @@ -110,7 +112,9 @@ class Assistant( instructions = instructions, tools = tools, toolResources = toolResources, - metadata = metadata + metadata = metadata, + temperature = temperature, + topP = topP ), toolsConfig, config, @@ -195,6 +199,8 @@ class Assistant( } }, toolResources = toolResourcesRequest, + temperature = parsed["temperature"]?.literalContentOrNull?.toDoubleOrNull(), + topP = parsed["top_p"]?.literalContentOrNull?.toDoubleOrNull(), ) return if (assistantRequest.assistantId != null) { val assistant = @@ -225,7 +231,9 @@ class Assistant( ) ) }, - metadata = null // assistantRequest.metadata + metadata = null, // assistantRequest.metadata + temperature = assistantRequest.temperature, + topP = assistantRequest.topP ) ) } else @@ -241,7 +249,9 @@ class Assistant( metadata = assistantRequest.metadata ?.map { (k, v) -> k to JsonPrimitive(v) } - ?.let { JsonObject(it.toMap()) } + ?.let { JsonObject(it.toMap()) }, + temperature = assistantRequest.temperature, + topP = assistantRequest.topP ), toolsConfig = toolsConfig, config = config, diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/AssistantRequest.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/AssistantRequest.kt index 16d50f0b4..6c8eba206 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/AssistantRequest.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/AssistantRequest.kt @@ -11,22 +11,42 @@ data class AssistantRequest( @SerialName(value = "assistant_id") val assistantId: String? = null, @SerialName(value = "model") @Required val model: CreateAssistantRequestModel, - /* The name of the assistant. The maximum length is 256 characters. */ + /** The name of the assistant. The maximum length is 256 characters. */ @SerialName(value = "name") val name: String? = null, - /* The description of the assistant. The maximum length is 512 characters. */ + /** The description of the assistant. The maximum length is 512 characters. */ @SerialName(value = "description") val description: String? = null, - /* The system instructions that the assistant uses. The maximum length is 32768 characters. */ + /** The system instructions that the assistant uses. The maximum length is 32768 characters. */ @SerialName(value = "instructions") val instructions: String? = null, - /* A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `retrieval`, or `function`. */ + /** + * A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. + * Tools can be of types `code_interpreter`, `retrieval`, or `function`. + */ @SerialName(value = "tools") val tools: List? = arrayListOf(), @SerialName(value = "tool_resources") val toolResources: CreateAssistantRequestToolResources? = null, - /* Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long. */ - @SerialName(value = "metadata") val metadata: Map? = null + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful for storing + * additional information about the object in a structured format. Keys can be a maximum of 64 + * characters long and values can be a maxium of 512 characters long. + */ + @SerialName(value = "metadata") val metadata: Map? = null, + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output + * more random, while lower values like 0.2 will make it more focused and deterministic. + */ + @SerialName(value = "temperature") val temperature: Double? = null, + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the model considers + * the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising + * the top 10% probability mass are considered. + */ + @SerialName(value = "top_p") val topP: Double? = null, ) @Serializable diff --git a/examples/src/main/kotlin/com/xebia/functional/xef/assistants/LoadFromYamlConfig.kt b/examples/src/main/kotlin/com/xebia/functional/xef/assistants/LoadFromYamlConfig.kt index 505d8472b..f56434333 100644 --- a/examples/src/main/kotlin/com/xebia/functional/xef/assistants/LoadFromYamlConfig.kt +++ b/examples/src/main/kotlin/com/xebia/functional/xef/assistants/LoadFromYamlConfig.kt @@ -1,6 +1,10 @@ package com.xebia.functional.xef.assistants -import com.xebia.functional.xef.llm.assistants.* +import com.xebia.functional.xef.llm.assistants.Assistant +import com.xebia.functional.xef.llm.assistants.AssistantThread +import com.xebia.functional.xef.llm.assistants.MessageWithFiles +import com.xebia.functional.xef.llm.assistants.RunDelta +import com.xebia.functional.xef.llm.assistants.Tool suspend fun main() { // val filesApi = fromEnvironment(::FilesApi) @@ -34,6 +38,8 @@ suspend fun main() { use_case: "Customer support" language: "English" additional_info: "This assistant is continuously updated with the latest information." + temperature: "0.0" + top_p: "1.0" """ .trimIndent() val tools = listOf(Tool.toolOf(SumTool())) From ee1c9e8c55f513d923a2a0847c98375b8ef9fe98 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Javier=20P=C3=A9rez=20Pacheco?= Date: Wed, 25 Sep 2024 03:11:20 -0700 Subject: [PATCH 27/29] JDBCSyntax boolean (#789) --- .../xebia/functional/xef/store/postgresql/JDBCSyntax.kt | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/integrations/postgresql/src/main/kotlin/com/xebia/functional/xef/store/postgresql/JDBCSyntax.kt b/integrations/postgresql/src/main/kotlin/com/xebia/functional/xef/store/postgresql/JDBCSyntax.kt index 8b291cc98..dc83cc19a 100644 --- a/integrations/postgresql/src/main/kotlin/com/xebia/functional/xef/store/postgresql/JDBCSyntax.kt +++ b/integrations/postgresql/src/main/kotlin/com/xebia/functional/xef/store/postgresql/JDBCSyntax.kt @@ -104,6 +104,10 @@ class JDBCSyntax(val conn: Connection) : Connection by conn { if (double == null) preparedStatement.setNull(index++, Types.REAL) else preparedStatement.setDouble(index++, double) + fun bind(bool: Boolean?): Unit = + if (bool == null) preparedStatement.setNull(index++, Types.REAL) + else preparedStatement.setBoolean(index++, bool) + fun bind(string: String?): Unit = if (string == null) preparedStatement.setNull(index++, Types.VARCHAR) else preparedStatement.setString(index++, string) @@ -116,6 +120,7 @@ class JDBCSyntax(val conn: Connection) : Connection by conn { fun bytes(): ByteArray? = resultSet.getBytes(index++) fun long(): Long? = resultSet.getLong(index++).takeUnless { resultSet.wasNull() } fun double(): Double? = resultSet.getDouble(index++).takeUnless { resultSet.wasNull() } + fun bool(): Boolean? = resultSet.getBoolean(index++).takeUnless { resultSet.wasNull() } fun nextRow(): Boolean = resultSet.next() } @@ -130,6 +135,9 @@ class JDBCSyntax(val conn: Connection) : Connection by conn { fun double(): Double = raise.ensureNotNull(resultSet.getDouble(index++).takeUnless { resultSet.wasNull() }) + fun bool(): Boolean = + raise.ensureNotNull(resultSet.getBoolean(index++).takeUnless { resultSet.wasNull() }) + fun nextRow(): Boolean = resultSet.next() } } From e5916d68edf190b3cc9ce66f73f3a8ab567d6b63 Mon Sep 17 00:00:00 2001 From: David Vega Lichacz <7826728+realdavidvega@users.noreply.github.com> Date: Fri, 27 Sep 2024 08:22:54 +0200 Subject: [PATCH 28/29] Expose Assistant Tool input and output json config (#790) * feat: expose tool input and output json config * refactor: move json config out of companion --- .../xef/llm/assistants/Assistant.kt | 12 +++---- .../functional/xef/llm/assistants/Tool.kt | 34 ++++++++++++------- 2 files changed, 28 insertions(+), 18 deletions(-) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt index 1c626147e..b3f16ca2c 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Assistant.kt @@ -63,17 +63,17 @@ class Assistant( suspend inline fun getToolRegistered(name: String, args: String): ToolOutput = try { val toolConfig = toolsConfig.firstOrNull { it.functionObject.name == name } + val (inputSerializer, outputSerializer) = + toolConfig?.serialization ?: error("Function $name not registered") - val toolSerializer = toolConfig?.serializers ?: error("Function $name not registered") - val input = toolConfig.json.decodeFromString(toolSerializer.inputSerializer, args) - + val input = inputSerializer.json.decodeFromString(inputSerializer.serializer, args) val tool: Tool = toolConfig.tool as Tool - val schema = buildJsonSchema(toolSerializer.outputSerializer.descriptor) + val schema = buildJsonSchema(outputSerializer.serializer.descriptor) val output: Any? = tool(input) val result = - toolConfig.json.encodeToJsonElement( - toolSerializer.outputSerializer as KSerializer, + outputSerializer.json.encodeToJsonElement( + outputSerializer.serializer as KSerializer, output ) ToolOutput(schema, result) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Tool.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Tool.kt index 7373026e7..5e0feb6ed 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Tool.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/Tool.kt @@ -10,30 +10,40 @@ import kotlinx.serialization.serializer fun interface Tool { suspend operator fun invoke(input: Input): Output + data class JsonConfig(val inputJson: Json, val outputJson: Json) { + companion object { + val Default = JsonConfig(inputJson = Json.Default, outputJson = Json.Default) + } + } + companion object { data class ToolConfig( val functionObject: FunctionObject, - val serializers: ToolSerializer, - val tool: Tool, - val json: Json = Json.Default + val serialization: ToolSerialization, + val tool: Tool ) - data class ToolSerializer( - val inputSerializer: KSerializer<*>, - val outputSerializer: KSerializer<*> + data class ToolSerialization( + val inputSerializer: ToolSerializer, + val outputSerializer: ToolSerializer ) - inline fun toolOf(tool: Tool): ToolConfig { - val inputSerializer = serializer() - val outputSerializer = serializer() - val toolSerializer = ToolSerializer(inputSerializer, outputSerializer) - val fn = chatFunction(inputSerializer.descriptor) + data class ToolSerializer(val serializer: KSerializer<*>, val json: Json) + + inline fun toolOf( + tool: Tool, + jsonConfig: JsonConfig = JsonConfig.Default + ): ToolConfig { + val inputSerializer = ToolSerializer(serializer(), jsonConfig.inputJson) + val outputSerializer = ToolSerializer(serializer(), jsonConfig.outputJson) + val toolSerializer = ToolSerialization(inputSerializer, outputSerializer) + val fn = chatFunction(inputSerializer.serializer.descriptor) val fnName = tool::class.simpleName ?: error("unnamed class") val fnDescription = defaultFunctionDescription(fnName) return ToolConfig( functionObject = fn.copy(name = fnName, description = fnDescription), - serializers = toolSerializer, + serialization = toolSerializer, tool = tool ) } From c55ae53a6258aa63bdc017c33b014c2e9e254739 Mon Sep 17 00:00:00 2001 From: David Vega Lichacz <7826728+realdavidvega@users.noreply.github.com> Date: Tue, 1 Oct 2024 12:29:42 +0200 Subject: [PATCH 29/29] Add cache criteria to CachedTool (#791) * feat: add cache criteria to cached tool * feat: make functions suspend if we want to use some effect --- .../xef/llm/assistants/CachedTool.kt | 43 ++++++++++++++++--- 1 file changed, 37 insertions(+), 6 deletions(-) diff --git a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt index 3b1451333..ddb1e3352 100644 --- a/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt +++ b/core/src/commonMain/kotlin/com/xebia/functional/xef/llm/assistants/CachedTool.kt @@ -15,13 +15,44 @@ abstract class CachedTool( private val timeCachePolicy: Duration = 1.days ) : Tool { - override suspend fun invoke(input: Input): Output { - return cache(CachedToolKey(input, seed)) { onCacheMissed(input) } - } + /** + * Logic to be executed when the cache is missed. + * + * @return the output. + */ + abstract suspend fun onCacheMissed(input: Input): Output + + /** + * Criteria to check if the cache should be used for the given [input]. By default, it returns + * true, meaning always use the cache if available. + * + * @return true if the cache should be used. + */ + open suspend fun shouldUseCache(input: Input): Boolean = true + + /** + * Criteria to check if the result should be cached based on the given [input] and [output]. By + * default, it returns true, meaning always cache the result. + * + * @return true if the result should be cached. + */ + open suspend fun shouldCacheOutput(input: Input, output: Output): Boolean = true + + /** + * Caches the result of [onCacheMissed] if [shouldCacheOutput] returns true. Otherwise, returns + * the result of [onCacheMissed]. + * + * @return the output. + */ + override suspend fun invoke(input: Input): Output = + if (shouldUseCache(input)) cache(CachedToolKey(input, seed)) { onCacheMissed(input) } + else onCacheMissed(input) /** * Exposes the cache as a [Map] of [Input] to [Output] filtered by instance [seed] and * [timeCachePolicy]. Removes expired cache entries. + * + * @return the map of input to output. */ suspend fun getCache(): Map { val lastTimeInCache = timeInMillis() - timeCachePolicy.inWholeMilliseconds @@ -42,8 +73,6 @@ abstract class CachedTool( return withoutExpired.map { it.key.value to it.value.value }.toMap() } - abstract suspend fun onCacheMissed(input: Input): Output - private suspend fun cache(input: CachedToolKey, block: suspend () -> Output): Output { val cachedToolInfo = cache.get()[input] if (cachedToolInfo != null) { @@ -55,7 +84,9 @@ abstract class CachedTool( } } val response = block() - cache.get()[input] = CachedToolValue(response, timeInMillis()) + if (shouldCacheOutput(input.value, response)) { + cache.get()[input] = CachedToolValue(response, timeInMillis()) + } return response } }