Remove anthropic-beta default header set in AnthropicModel

pydantic_ai_slim/pydantic_ai/models/anthropic.py

@@ -8,14 +8,6 @@
 from datetime import datetime, timezone
 from typing import Any, Literal, Union, cast, overload
 
-from anthropic.types.beta import (
-    BetaCitationsDelta,
-    BetaCodeExecutionToolResultBlock,
-    BetaCodeExecutionToolResultBlockParam,
-    BetaInputJSONDelta,
-    BetaServerToolUseBlockParam,
-    BetaWebSearchToolResultBlockParam,
-)
 from typing_extensions import assert_never
 
 from pydantic_ai.builtin_tools import CodeExecutionTool, WebSearchTool
@@ -47,24 +39,21 @@
 from ..providers import Provider, infer_provider
 from ..settings import ModelSettings
 from ..tools import ToolDefinition
-from . import (
-    Model,
-    ModelRequestParameters,
-    StreamedResponse,
-    check_allow_model_requests,
-    download_item,
-    get_user_agent,
-)
+from . import Model, ModelRequestParameters, StreamedResponse, check_allow_model_requests, download_item, get_user_agent
 
 try:
     from anthropic import NOT_GIVEN, APIStatusError, AsyncAnthropic, AsyncStream
     from anthropic.types.beta import (
         BetaBase64PDFBlockParam,
         BetaBase64PDFSourceParam,
+        BetaCitationsDelta,
         BetaCodeExecutionTool20250522Param,
+        BetaCodeExecutionToolResultBlock,
+        BetaCodeExecutionToolResultBlockParam,
         BetaContentBlock,
         BetaContentBlockParam,
         BetaImageBlockParam,
+        BetaInputJSONDelta,
         BetaMessage,
         BetaMessageParam,
         BetaMetadataParam,
@@ -78,6 +67,7 @@
         BetaRawMessageStreamEvent,
         BetaRedactedThinkingBlock,
         BetaServerToolUseBlock,
+        BetaServerToolUseBlockParam,
         BetaSignatureDelta,
         BetaTextBlock,
         BetaTextBlockParam,
@@ -94,6 +84,7 @@
         BetaToolUseBlockParam,
         BetaWebSearchTool20250305Param,
         BetaWebSearchToolResultBlock,
+        BetaWebSearchToolResultBlockParam,
     )
     from anthropic.types.beta.beta_web_search_tool_20250305_param import UserLocation
     from anthropic.types.model_param import ModelParam
@@ -246,7 +237,9 @@ async def _messages_create(
     ) -> BetaMessage | AsyncStream[BetaRawMessageStreamEvent]:
         # standalone function to make it easier to override
         tools = self._get_tools(model_request_parameters)
-        tools += self._get_builtin_tools(model_request_parameters)
+        builtin_tools, tool_headers = self._get_builtin_tools(model_request_parameters)
+        tools += builtin_tools
+
         tool_choice: BetaToolChoiceParam | None
 
         if not tools:
@@ -264,8 +257,10 @@ async def _messages_create(
 
         try:
             extra_headers = model_settings.get('extra_headers', {})
+            for k, v in tool_headers.items():
+                extra_headers.setdefault(k, v)
             extra_headers.setdefault('User-Agent', get_user_agent())
-            extra_headers.setdefault('anthropic-beta', 'code-execution-2025-05-22')
+
             return await self.client.beta.messages.create(
                 max_tokens=model_settings.get('max_tokens', 4096),
                 system=system_prompt or NOT_GIVEN,
@@ -352,8 +347,11 @@ async def _process_streamed_response(
     def _get_tools(self, model_request_parameters: ModelRequestParameters) -> list[BetaToolParam]:
         return [self._map_tool_definition(r) for r in model_request_parameters.tool_defs.values()]
 
-    def _get_builtin_tools(self, model_request_parameters: ModelRequestParameters) -> list[BetaToolUnionParam]:
+    def _get_builtin_tools(
+        self, model_request_parameters: ModelRequestParameters
+    ) -> tuple[list[BetaToolUnionParam], dict[str, str]]:
         tools: list[BetaToolUnionParam] = []
+        extra_headers: dict[str, str] = {}
         for tool in model_request_parameters.builtin_tools:
             if isinstance(tool, WebSearchTool):
                 user_location = UserLocation(type='approximate', **tool.user_location) if tool.user_location else None
@@ -367,12 +365,13 @@ def _get_builtin_tools(self, model_request_parameters: ModelRequestParameters) -
                     )
                 )
             elif isinstance(tool, CodeExecutionTool):  # pragma: no branch
+                extra_headers['anthropic-beta'] = 'code-execution-2025-05-22'
                 tools.append(BetaCodeExecutionTool20250522Param(name='code_execution', type='code_execution_20250522'))
             else:  # pragma: no cover
                 raise UserError(
                     f'`{tool.__class__.__name__}` is not supported by `AnthropicModel`. If it should be, please file an issue.'
                 )
-        return tools
+        return tools, extra_headers
 
     async def _map_message(self, messages: list[ModelMessage]) -> tuple[str, list[BetaMessageParam]]:  # noqa: C901
         """Just maps a `pydantic_ai.Message` to a `anthropic.types.MessageParam`."""

tests/models/cassettes/test_anthropic/test_anthropic_code_execution_tool.yaml

@@ -15,7 +15,7 @@ interactions:
       - api.anthropic.com
     method: POST
     parsed_body:
-      max_tokens: 1024
+      max_tokens: 4096
       messages:
       - content:
         - text: How much is 3 * 12390?
@@ -34,7 +34,7 @@ interactions:
       connection:
       - keep-alive
       content-length:
-      - '927'
+      - '994'
       content-type:
       - application/json
       strict-transport-security:
@@ -43,12 +43,12 @@ interactions:
       - chunked
     parsed_body:
       container:
-        expires_at: '2025-05-26T13:30:45.703429+00:00'
-        id: container_011CPW9LpfbF8dmXMvVNCiQJ
+        expires_at: '2025-08-14T12:35:01.802902Z'
+        id: container_011CS7XodG8mEYj1PnST46H5
       content:
       - text: I'll calculate 3 * 12390 for you.
         type: text
-      - id: srvtoolu_01CPfaeVC7ju4VsdzxjSLDrY
+      - id: srvtoolu_01PZTDQyDyxVNeVikBoNo2fb
         input:
           code: |-
             result = 3 * 12390
@@ -62,21 +62,24 @@ interactions:
           stdout: |
             3 * 12390 = 37170
           type: code_execution_result
-        tool_use_id: srvtoolu_01CPfaeVC7ju4VsdzxjSLDrY
+        tool_use_id: srvtoolu_01PZTDQyDyxVNeVikBoNo2fb
         type: code_execution_tool_result
-      - text: The answer is **37,170**.
+      - text: 3 * 12390 = 37,170
         type: text
-      id: msg_015H6Emn2T8vZhE52mU2jF1U
+      id: msg_01RJnbK7VMxvS2SyvtyJAQVU
       model: claude-sonnet-4-20250514
       role: assistant
       stop_reason: end_turn
       stop_sequence: null
       type: message
       usage:
+        cache_creation:
+          ephemeral_1h_input_tokens: 0
+          ephemeral_5m_input_tokens: 0
         cache_creation_input_tokens: 0
         cache_read_input_tokens: 0
         input_tokens: 1630
-        output_tokens: 105
+        output_tokens: 109
         server_tool_use:
           web_search_requests: 0
         service_tier: standard

tests/models/cassettes/test_anthropic/test_anthropic_model_empty_message_on_history.yaml

@@ -15,7 +15,7 @@ interactions:
       - api.anthropic.com
     method: POST
     parsed_body:
-      max_tokens: 1024
+      max_tokens: 4096
       messages:
       - content:
         - text: Hello, how can I help you?
@@ -36,7 +36,7 @@ interactions:
       connection:
       - keep-alive
       content-length:
-      - '671'
+      - '777'
       content-type:
       - application/json
       strict-transport-security:
@@ -46,26 +46,29 @@ interactions:
     parsed_body:
       content:
       - text: |-
-          I can't physically give you a potato since I'm a computer program. However, I can:
+          I can't physically give you a potato since I'm a digital assistant. However, I can:
 
           1. Help you find recipes that use potatoes
-          2. Give you tips on how to select, store, or cook potatoes
-          3. Share information about different potato varieties
-          4. Provide guidance on growing potatoes
+          2. Give you tips on how to select, store, or prepare potatoes
+          3. Share information about different types of potatoes
+          4. Suggest where you might buy potatoes locally
 
-          What specifically would you like to know about potatoes?
+          What specific information about potatoes would be most helpful to you?
         type: text
-      id: msg_01UjnDmX3B57Drosu49sMteT
+      id: msg_01PAZFa5ciacA9ptgEDMbkZM
       model: claude-3-5-sonnet-20241022
       role: assistant
       stop_reason: end_turn
       stop_sequence: null
       type: message
       usage:
+        cache_creation:
+          ephemeral_1h_input_tokens: 0
+          ephemeral_5m_input_tokens: 0
         cache_creation_input_tokens: 0
         cache_read_input_tokens: 0
         input_tokens: 41
-        output_tokens: 82
+        output_tokens: 88
         service_tier: standard
     status:
       code: 200

tests/models/cassettes/test_anthropic/test_anthropic_model_instructions.yaml

@@ -15,7 +15,7 @@ interactions:
       - api.anthropic.com
     method: POST
     parsed_body:
-      max_tokens: 1024
+      max_tokens: 4096
       messages:
       - content:
         - text: What is the capital of France?
@@ -32,7 +32,7 @@ interactions:
       connection:
       - keep-alive
       content-length:
-      - '354'
+      - '433'
       content-type:
       - application/json
       strict-transport-security:
@@ -43,13 +43,16 @@ interactions:
       content:
       - text: The capital of France is Paris.
         type: text
-      id: msg_01BznVNBje2zyfpCfNQCD5en
+      id: msg_01Fg1JVgvCYUHWsxrj9GkpEv
       model: claude-3-opus-20240229
       role: assistant
       stop_reason: end_turn
       stop_sequence: null
       type: message
       usage:
+        cache_creation:
+          ephemeral_1h_input_tokens: 0
+          ephemeral_5m_input_tokens: 0
         cache_creation_input_tokens: 0
         cache_read_input_tokens: 0
         input_tokens: 20