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test-chat.cpp
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// Tests chat handling, including grammar generation and parsing for tool calling, for various templates.
//
// Also acts as a CLI to generate a Markdown summary of the formats of Jinja templates,
// e.g. given Minja (http://github.com/google/minja) checked out in parent dir:
//
// cmake -B build && cmake --build build --parallel && ./build/bin/test-chat ../minja/build/tests/*.jinja 2>/dev/null
//
#include <fstream>
#include <iostream>
#include <json.hpp>
#include <string>
#include "chat.h"
#include "common.h"
#include "llama-grammar.h"
#include "unicode.h"
using json = nlohmann::ordered_json;
static std::ostream & operator<<(std::ostream & os, const common_chat_msg_diff & diff) {
// os << "reasoning_content_delta: " << diff.reasoning_content_delta << '\n';
os << "{ content_delta: " << diff.content_delta << "; ";
if (diff.tool_call_index != std::string::npos) {
os << "tool_call_index: " << diff.tool_call_index << "; ";
os << "tool_call_delta.name: " << diff.tool_call_delta.name << "; ";
os << "tool_call_delta.id: " << diff.tool_call_delta.id << "; ";
os << "tool_call_delta.arguments: " << diff.tool_call_delta.arguments << "; ";
}
os << "}";
return os;
}
// operator<< for vector<common_chat_msg_diff>:
static std::ostream & operator<<(std::ostream & os, const std::vector<common_chat_msg_diff> & diffs) {
os << "[\n";
for (const auto & diff : diffs) {
os << " " << diff << ",\n";
}
os << "]";
return os;
}
static std::ostream & operator<<(std::ostream & os, const common_chat_msg & msg) {
os << "{ role: " << msg.role << "; ";
os << "content: " << msg.content << "; ";
os << "content_parts: [\n";
for (const auto & part : msg.content_parts) {
os << " { type: " << part.type << "; text: " << part.text << " },\n";
}
os << "]; ";
os << "reasoning_content: " << msg.reasoning_content << "; ";
os << "tool_calls: [\n";
for (const auto & tool_call : msg.tool_calls) {
os << " { name: " << tool_call.name << "; arguments: " << tool_call.arguments << "; id: " << tool_call.id << " },\n";
}
os << "]";
os << "}";
return os;
}
template <class T> static bool equals(const T & expected, const T & actual) {
return expected == actual;
}
static common_chat_msg normalize(const common_chat_msg & msg) {
common_chat_msg normalized = msg;
for (auto & tool_call : normalized.tool_calls) {
try {
tool_call.arguments = json::parse(tool_call.arguments).dump();
} catch (const std::exception &) {
// Do nothing
}
}
return normalized;
}
template <>
bool equals(const common_chat_msg & expected, const common_chat_msg & actual) {
return normalize(expected) == normalize(actual);
}
template <class T> static void assert_equals(const T & expected, const T & actual) {
if (!equals(expected, actual)) {
std::cerr << "Expected: " << expected << std::endl;
std::cerr << "Actual: " << actual << std::endl;
std::cerr << std::flush;
throw std::runtime_error("Test failed");
}
}
static std::string read_file(const std::string & path) {
std::cerr << "# Reading: " << path << '\n' << std::flush;
std::ifstream fs(path, std::ios_base::binary);
if (!fs.is_open()) {
fs = std::ifstream("../" + path, std::ios_base::binary);
if (!fs.is_open()) {
throw std::runtime_error("Failed to open file: " + path);
}
}
fs.seekg(0, std::ios_base::end);
auto size = fs.tellg();
fs.seekg(0);
std::string out;
out.resize(static_cast<size_t>(size));
fs.read(out.data(), static_cast<std::streamsize>(size));
return out;
}
static common_chat_templates_ptr read_templates(const std::string & path) {
return common_chat_templates_ptr(common_chat_templates_init(/* model= */ nullptr, read_file(path)));
}
static std::unique_ptr<llama_grammar> build_grammar(const std::string & grammar_str) {
return std::unique_ptr<llama_grammar>(
llama_grammar_init_impl(nullptr, grammar_str.c_str(), "root", false, nullptr, 0, nullptr, 0));
}
// TODO: extract to common helper (copied from test-grammar-integration.cpp)
static bool match_string(const std::string & input, llama_grammar * grammar) {
const auto cpts = unicode_cpts_from_utf8(input);
auto & stacks_cur = llama_grammar_get_stacks(grammar);
for (const auto & cpt : cpts) {
llama_grammar_accept(grammar, cpt);
if (stacks_cur.empty()) {
// no stacks means that the grammar failed to match at this point
return false;
}
}
if (std::any_of(stacks_cur.begin(), stacks_cur.end(), [](const auto & stack) { return stack.empty(); })) {
// An empty stack means that the grammar has been completed
return true;
}
return false;
}
static std::string renormalize_json(const std::string & json_str) {
try {
auto json_obj = json::parse(json_str);
return json_obj.dump();
} catch (const std::exception & e) {
std::cerr << "Failed to parse JSON: " << e.what() << '\n';
return json_str;
}
}
static void assert_msg_equals(const common_chat_msg & expected, const common_chat_msg & actual) {
assert_equals(expected.role, actual.role);
assert_equals(expected.content, actual.content);
assert_equals(expected.content_parts.size(), actual.content_parts.size());
for (size_t i = 0; i < expected.content_parts.size(); i++) {
const auto & expected_part = expected.content_parts[i];
const auto & actual_part = actual.content_parts[i];
assert_equals(expected_part.type, actual_part.type);
assert_equals(expected_part.text, actual_part.text);
}
assert_equals(expected.reasoning_content, actual.reasoning_content);
assert_equals(expected.tool_calls.size(), actual.tool_calls.size());
for (size_t i = 0; i < expected.tool_calls.size(); i++) {
const auto & expected_tool_call = expected.tool_calls[i];
const auto & actual_tool_call = actual.tool_calls[i];
assert_equals(expected_tool_call.name, actual_tool_call.name);
assert_equals(renormalize_json(expected_tool_call.arguments), renormalize_json(actual_tool_call.arguments));
assert_equals(expected_tool_call.id, actual_tool_call.id);
}
}
common_chat_tool special_function_tool {
/* .name = */ "special_function",
/* .description = */ "I'm special",
/* .parameters = */ R"({
"type": "object",
"properties": {
"arg1": {
"type": "integer",
"description": "The arg."
}
},
"required": ["arg1"]
})",
};
common_chat_tool python_tool {
/* .name = */ "python",
/* .description = */ "an ipython interpreter",
/* .parameters = */ R"({
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "Python code to execute."
}
},
"required": ["code"]
})",
};
common_chat_tool code_interpreter_tool {
/* .name = */ "code_interpreter",
/* .description = */ "an ipython interpreter",
/* .parameters = */ R"({
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "Python code to execute."
}
},
"required": ["code"]
})",
};
std::vector<common_chat_tool> tools { special_function_tool, python_tool };
std::vector<common_chat_tool> llama_3_1_tools { special_function_tool, code_interpreter_tool };
struct delta_data {
std::string delta;
common_chat_params params;
};
static delta_data init_delta(const struct common_chat_templates * tmpls, const std::vector<std::string> & end_tokens,
const common_chat_msg & user_message,
const common_chat_msg & delta_message,
const std::vector<common_chat_tool> & tools,
const common_chat_tool_choice & tool_choice) {
common_chat_templates_inputs inputs;
inputs.parallel_tool_calls = true;
inputs.messages.push_back(user_message);
inputs.tools = tools;
inputs.tool_choice = tool_choice;
auto params_prefix = common_chat_templates_apply(tmpls, inputs);
inputs.messages.push_back(delta_message);
inputs.add_generation_prompt = false;
auto params_full = common_chat_templates_apply(tmpls, inputs);
std::string prefix = params_prefix.prompt;
std::string full = params_full.prompt;
if (full == prefix) {
throw std::runtime_error("Full message is the same as the prefix");
}
size_t common_prefix_length = 0;
for (size_t i = 0; i < prefix.size() && i < full.size(); ++i) {
if (prefix[i] != full[i]) {
break;
}
if (prefix[i] == '<') {
// DeepSeek R1's template (as of 20250209) adds a trailing <think> if add_generation_prompt,
// but it removes thinking tags for past messages.
// The prefix and full strings diverge at <think> vs. <｜tool▁calls▁begin｜>, we avoid consuming the leading <.
continue;
}
common_prefix_length = i + 1;
}
auto delta = full.substr(common_prefix_length);
// Strip end tokens
for (const auto & end_token : end_tokens) {
// rfind to find the last occurrence
auto pos = delta.rfind(end_token);
if (pos != std::string::npos) {
delta = delta.substr(0, pos);
break;
}
}
return { delta, params_full };
}
/*
Applies the template to 1 user message w/ add_generation_prompt=true, then w/ the test message w/ add_generation_prompt=false,
gets the diff, removes any end tokens and parses the result w/ the grammar, checking that
the parsed message is the same as the test_message
*/
static void test_templates(const struct common_chat_templates * tmpls, const std::vector<std::string> & end_tokens,
const common_chat_msg & test_message,
const std::vector<common_chat_tool> & tools = {},
const std::string & expected_delta = "",
bool expect_grammar_triggered = true,
bool test_grammar_if_triggered = true,
common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE) {
common_chat_msg user_message;
user_message.role = "user";
user_message.content = "Hello, world!";
for (const auto & tool_choice : std::vector<common_chat_tool_choice> {COMMON_CHAT_TOOL_CHOICE_AUTO, COMMON_CHAT_TOOL_CHOICE_REQUIRED}) {
auto data = init_delta(tmpls, end_tokens, user_message, test_message, tools, tool_choice);
if (!expected_delta.empty()) {
assert_equals(expected_delta, data.delta);
}
if (expect_grammar_triggered) {
common_chat_syntax syntax;
syntax.format = data.params.format;
syntax.reasoning_format = reasoning_format;
const auto msg = common_chat_parse(data.delta, /* is_partial= */ false, syntax);
assert_msg_equals(test_message, msg);
}
if (!test_message.tool_calls.empty()) {
GGML_ASSERT(!data.params.grammar.empty());
}
if (!data.params.grammar.empty()) {
auto grammar = build_grammar(data.params.grammar);
if (!grammar) {
throw std::runtime_error("Failed to build grammar");
}
auto earliest_trigger_pos = std::string::npos;
auto constrained = data.delta;
for (const auto & trigger : data.params.grammar_triggers) {
size_t pos = std::string::npos;
std::smatch match;
switch (trigger.type) {
case COMMON_GRAMMAR_TRIGGER_TYPE_WORD:
{
const auto & word = trigger.value;
pos = constrained.find(word);
break;
}
case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN:
{
const auto & pattern = trigger.value;
if (std::regex_search(constrained, match, std::regex(pattern))) {
pos = match.position(1);
}
break;
}
case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL:
{
const auto & pattern = trigger.value;
if (std::regex_match(constrained, match, std::regex(pattern))) {
auto mpos = std::string::npos;
for (size_t i = 1; i < match.size(); ++i) {
if (match[i].length() > 0) {
mpos = match.position(i);
break;
}
}
if (mpos == std::string::npos) {
mpos = match.position(0);
}
pos = mpos;
}
break;
}
default:
throw std::runtime_error("Unknown trigger type");
}
if (pos == std::string::npos) {
continue;
}
if (earliest_trigger_pos == std::string::npos || pos < earliest_trigger_pos) {
earliest_trigger_pos = pos;
}
}
auto grammar_triggered = false;
if (earliest_trigger_pos != std::string::npos) {
constrained = constrained.substr(earliest_trigger_pos);
grammar_triggered = true;
}
if (data.params.grammar_lazy) {
assert_equals(expect_grammar_triggered, grammar_triggered);
}
if (grammar_triggered && test_grammar_if_triggered && !match_string(constrained, grammar.get())) {
throw std::runtime_error("Failed to match delta against grammar:\n\n" + data.delta +
"\n\nConstrained: " + constrained +
"\n\nGrammar: " + data.params.grammar);
}
}
}
}
const common_chat_msg message_user {
"user",
"Hey there!",
/* .content_parts = */ {},
/* .tool_calls = */ {},
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_user_parts {
"user",
/* .content = */ "",
/* .content_parts = */ {
{ "text", "Hey" },
{ "text", "there" },
},
/* .tool_calls = */ {},
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist {
"assistant",
"Hello, world!\nWhat's up?",
/* .content_parts = */ {},
/* .tool_calls = */ {},
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_thoughts_unparsed_deepseek {
"assistant",
"<think>I'm thinking</think>Hello, world!\nWhat's up?",
/* .content_parts = */ {},
/* .tool_calls = */ {},
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_thoughts_unparsed_r7b {
"assistant",
"<|START_THINKING|>I'm thinking<|END_THINKING|>Hello, world!\nWhat's up?",
/* .content_parts = */ {},
/* .tool_calls = */ {},
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_thoughts {
"assistant",
"Hello, world!\nWhat's up?",
/* .content_parts = */ {},
/* .tool_calls = */ {},
/* .reasoning_content = */ "I'm thinking",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_thoughts_unopened_unparsed {
"assistant",
"I'm thinking</think>Hello, world!\nWhat's up?",
/* .content_parts = */ {},
/* .tool_calls = */ {},
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const std::vector<common_chat_tool_call> tool_calls {
{ "special_function", "{\"arg1\": 1}", /* .id = */ "" },
};
const std::vector<common_chat_tool_call> tool_calls_cutoff_args {
{ "special_function", "{\"arg", /* .id = */ "" },
};
const std::vector<common_chat_tool_call> tool_calls_empty_args {
{ "special_function", "", /* .id = */ "" },
};
const std::vector<common_chat_tool_call> tool_calls_idx {
{ "special_function", "{\"arg1\": 1}", /* .id = */ "0" },
};
const std::vector<common_chat_tool_call> tool_calls_id {
{ "special_function", "{\"arg1\": 1}", /* .id = */ "123456789" },
};
const std::vector<common_chat_tool_call> tool_calls_python {
{ "python", "{\"code\": \"print('hey')\"}", /* .id = */ "" },
};
const std::vector<common_chat_tool_call> tool_calls_python_lines {
{ "python", "{\"code\": \"# This is a program:\\nprint('hey')\"}", /* .id = */ "" },
};
const std::vector<common_chat_tool_call> tool_calls_python_lines_unclosed {
{ "python", "{\"code\":\"# This is a program:\\nprint('hey')", /* .id = */ "" },
};
const common_chat_msg message_assist_empty {
"assistant",
"",
/* .content_parts = */ {},
/* .tool_calls = */ {},
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_call {
"assistant",
"",
/* .content_parts = */ {},
tool_calls,
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_call_content {
"assistant",
"Hello, world!\nWhat's up?",
/* .content_parts = */ {},
tool_calls,
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_thoughts_no_content {
"assistant",
"",
/* .content_parts = */ {},
/* .tool_calls = */ {},
/* .reasoning_content = */ "I'm\nthinking",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_call_empty_args {
"assistant",
"",
/* .content_parts = */ {},
tool_calls_empty_args,
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_call_cutoff_args {
"assistant",
"",
/* .content_parts = */ {},
tool_calls_cutoff_args,
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_call_thoughts = {
"assistant",
/* .content = */ "",
/* .content_parts = */ {},
tool_calls,
/* .reasoning_content = */ "I'm\nthinking",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_call_thoughts_unparsed = {
"assistant",
/* .content = */ "<think>I'm\nthinking</think>\n\n",
/* .content_parts = */ {},
tool_calls,
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_call_id {
"assistant",
"",
/* .content_parts = */ {},
tool_calls_id,
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_call_idx {
"assistant",
"",
/* .content_parts = */ {},
tool_calls_idx,
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_thoughts_call_idx {
"assistant",
"",
/* .content_parts = */ {},
tool_calls_idx,
/* .reasoning_content = */ "I'm\nthinking",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_call_python {
"assistant",
"",
/* .content_parts = */ {},
tool_calls_python,
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_call_python_lines {
"assistant",
"",
/* .content_parts = */ {},
tool_calls_python_lines,
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_call_python_lines_unclosed {
"assistant",
"",
/* .content_parts = */ {},
tool_calls_python_lines_unclosed,
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
const common_chat_msg message_assist_call_code_interpreter {
"assistant",
"",
/* .content_parts = */ {},
{ { "code_interpreter", "{\"code\": \"print('hey')\"}", /* .id = */ "" } },
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
};
static void test_msgs_oaicompat_json_conversion() {
printf("[%s]\n", __func__);
std::vector<common_chat_msg> msgs{
message_user,
message_user_parts,
message_assist_call,
message_assist_call_thoughts,
message_assist_call_thoughts_unparsed,
message_assist_call_id,
message_assist_call_idx,
message_assist_call_python,
message_assist_call_code_interpreter,
};
for (const auto & msg : msgs) {
auto oai_json = common_chat_msgs_to_json_oaicompat<json>({msg});
auto msgs2 = common_chat_msgs_parse_oaicompat(oai_json);
assert_equals((size_t) 1, msgs2.size());
auto msg2 = msgs2[0];
assert_msg_equals(msg, msg2);
}
assert_equals(
std::string(
"[\n"
" {\n"
" \"role\": \"user\",\n"
" \"content\": [\n"
" {\n"
" \"type\": \"text\",\n"
" \"text\": \"Hey\"\n"
" },\n"
" {\n"
" \"type\": \"text\",\n"
" \"text\": \"there\"\n"
" }\n"
" ]\n"
" }\n"
"]"
),
common_chat_msgs_to_json_oaicompat<json>({message_user_parts}).dump(2));
assert_equals(
std::string(
"[\n"
" {\n"
" \"role\": \"assistant\",\n"
" \"content\": null,\n"
" \"tool_calls\": [\n"
" {\n"
" \"type\": \"function\",\n"
" \"function\": {\n"
" \"name\": \"python\",\n"
" \"arguments\": \"{\\\"code\\\": \\\"print('hey')\\\"}\"\n"
" }\n"
" }\n"
" ]\n"
" }\n"
"]"
),
common_chat_msgs_to_json_oaicompat<json>({message_assist_call_python}).dump(2));
auto res = common_chat_msgs_parse_oaicompat(json::parse("[{\"role\": \"assistant\", \"tool_calls\": []}]"));
assert_equals<size_t>(1, res.size());
assert_equals<std::string>(res[0].role, "assistant");
assert_equals(true, res[0].content.empty());
assert_equals(true, res[0].tool_calls.empty());
try {
common_chat_msgs_parse_oaicompat(json::parse("[{\"role\": \"assistant\"}]"));
throw std::runtime_error("Expected exception");
} catch (const std::exception & e) {
if (std::string(e.what()).find("'content'") == std::string::npos) {
throw std::runtime_error("Expected exception about missing 'content'");
}
}
}
static void test_tools_oaicompat_json_conversion() {
printf("[%s]\n", __func__);
std::vector<common_chat_tool> tools{
special_function_tool,
python_tool,
code_interpreter_tool,
};
for (const auto & tool : tools) {
auto oai_json = common_chat_tools_to_json_oaicompat<json>({tool});
auto tools2 = common_chat_tools_parse_oaicompat(oai_json);
assert_equals((size_t) 1, tools2.size());
auto tool2 = tools2[0];
assert_equals(tool.name, tool2.name);
assert_equals(tool.description, tool2.description);
assert_equals(json::parse(tool.parameters).dump(2), json::parse(tool2.parameters).dump(2));
}
assert_equals(
std::string(
"[\n"
" {\n"
" \"type\": \"function\",\n"
" \"function\": {\n"
" \"name\": \"special_function\",\n"
" \"description\": \"I'm special\",\n"
" \"parameters\": {\n"
" \"type\": \"object\",\n"
" \"properties\": {\n"
" \"arg1\": {\n"
" \"type\": \"integer\",\n"
" \"description\": \"The arg.\"\n"
" }\n"
" },\n"
" \"required\": [\n"
" \"arg1\"\n"
" ]\n"
" }\n"
" }\n"
" }\n"
"]"
),
common_chat_tools_to_json_oaicompat<json>({special_function_tool}).dump(2));
}
static void test_template_output_parsers() {
printf("[%s]\n", __func__);
common_chat_templates_inputs inputs_no_tools;
inputs_no_tools.messages = {message_user};
common_chat_templates_inputs inputs_tools;
inputs_tools.messages = {message_user};
inputs_tools.tools = {special_function_tool};
common_chat_templates_inputs inputs_tools_builtin;
inputs_tools_builtin.messages = {message_user};
inputs_tools_builtin.tools = {python_tool};
{
// Not supported yet
auto tmpls = read_templates("models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja");
assert_equals(COMMON_CHAT_FORMAT_GENERIC, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
}
{
auto tmpls = read_templates("models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja");
std::vector<std::string> end_tokens{ "<|END_OF_TURN_TOKEN|>" };
for (const auto & inputs : { inputs_no_tools, inputs_tools }) {
auto params = common_chat_templates_apply(tmpls.get(), inputs);
assert_equals(COMMON_CHAT_FORMAT_COMMAND_R7B, params.format);
assert_equals(false, params.thinking_forced_open);
}
assert_msg_equals(message_assist,
common_chat_parse(
"Hello, world!\nWhat's up?",
/* is_partial= */ false,
{COMMON_CHAT_FORMAT_COMMAND_R7B}));
assert_msg_equals(message_assist,
common_chat_parse(
"<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
/* is_partial= */ false,
{COMMON_CHAT_FORMAT_COMMAND_R7B}));
assert_msg_equals(message_assist_thoughts,
common_chat_parse(
"<|START_THINKING|>I'm thinking<|END_THINKING|>"
"<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
/* is_partial= */ false,
{
/* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
/* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
/* .reasoning_in_content = */ false,
/* .thinking_forced_open = */ false,
}));
assert_msg_equals(message_assist_thoughts_unparsed_deepseek,
common_chat_parse(
"<|START_THINKING|>I'm thinking<|END_THINKING|>"
"<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
/* is_partial= */ false,
{
/* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
/* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
/* .reasoning_in_content = */ true,
/* .thinking_forced_open = */ false,
}));
assert_msg_equals(message_assist_thoughts_unparsed_r7b,
common_chat_parse(
"<|START_THINKING|>I'm thinking<|END_THINKING|>"
"<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
/* is_partial= */ false,
{COMMON_CHAT_FORMAT_COMMAND_R7B}));
assert_msg_equals(message_assist_thoughts,
common_chat_parse(
"<|START_THINKING|>I'm thinking<|END_THINKING|>"
"<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
/* is_partial= */ false,
{
/* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
/* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
/* .reasoning_in_content = */ false,
/* .thinking_forced_open = */ false,
}));
assert_msg_equals(message_assist_thoughts_call_idx,
common_chat_parse(
"<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
"<|START_ACTION|>[\n"
" {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n"
"]<|END_ACTION|>",
/* is_partial= */ false,
{
/* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
/* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
/* .reasoning_in_content = */ false,
/* .thinking_forced_open = */ false,
}));
assert_msg_equals(message_assist_thoughts_no_content,
common_chat_parse(
"<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
"<|START_ACTION|>[\n"
" {\"tool_call_id\": \"0\", \"tool_name\": \"special",
/* is_partial= */ true,
{
/* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
/* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
/* .reasoning_in_content = */ false,
/* .thinking_forced_open = */ false,
}));
test_templates(tmpls.get(), end_tokens, message_assist_call_idx, tools,
"<|START_THINKING|><|END_THINKING|>"
"<|START_ACTION|>[\n"
" {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n"
"]<|END_ACTION|>",
/* expect_grammar_triggered= */ true,
/* test_grammar_if_triggered= */ true,
COMMON_REASONING_FORMAT_DEEPSEEK);
test_templates(tmpls.get(), end_tokens, message_assist, tools,
"<|START_RESPONSE|>Hello, world!\n"
"What's up?<|END_RESPONSE|>",
/* expect_grammar_triggered= */ false);
}
{
auto tmpls = read_templates("models/templates/google-gemma-2-2b-it.jinja");
std::vector<std::string> end_tokens{ "<end_of_turn>" };
assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
assert_equals(COMMON_CHAT_FORMAT_GENERIC, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
assert_equals(COMMON_CHAT_FORMAT_GENERIC,
common_chat_templates_apply(
read_templates("models/templates/microsoft-Phi-3.5-mini-instruct.jinja").get(),
inputs_tools)
.format);
// Generic tool calls doesn't generate / parse content-only messages symmetrically.
assert_equals(
message_assist_empty,
common_chat_parse(
"{ \"tool_call\" : { \"name\" : \"t",
/* is_partial= */ true,
{COMMON_CHAT_FORMAT_GENERIC}));
assert_equals(
message_assist_call_empty_args,
common_chat_parse(
"{ \"tool_call\" : { \"name\" : \"special_function\"",
/* is_partial= */ true,
{COMMON_CHAT_FORMAT_GENERIC}));
assert_equals(
message_assist_call_cutoff_args,
common_chat_parse(
"{ \"tool_call\" : { \"name\" : \"special_function\", \"arguments\" : { \"arg",
/* is_partial= */ true,
{COMMON_CHAT_FORMAT_GENERIC}));
assert_msg_equals(message_assist,
common_chat_parse(
"{\n"
" \"response\": \"Hello, world!\\nWhat's up?\"\n"
"}",
/* is_partial= */ false,
{COMMON_CHAT_FORMAT_GENERIC}));
test_templates(tmpls.get(), end_tokens, message_assist_call_id, tools,
"{\n"
" \"tool_calls\": [\n"
" {\n"
" \"name\": \"special_function\",\n"
" \"arguments\": {\n"
" \"arg1\": 1\n"
" },\n"
" \"id\": \"123456789\"\n"
" }\n"
" ]\n"
"}");
}
{
auto tmpls = read_templates("models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja");
std::vector<std::string> end_tokens{ "</s>" };
assert_equals(COMMON_CHAT_FORMAT_MISTRAL_NEMO, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
test_templates(
tmpls.get(), end_tokens, message_assist_call_id, tools,
"[TOOL_CALLS][{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, \"id\": \"123456789\"}]");
}
{
auto tmpls = read_templates("models/templates/Qwen-QwQ-32B.jinja");
std::vector<std::string> end_tokens{ "<|im_end|>" };
for (const auto & inputs : { inputs_no_tools, inputs_tools }) {
auto params = common_chat_templates_apply(tmpls.get(), inputs);
assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, params.format);
assert_equals(true, params.thinking_forced_open);
}
}
{
auto tmpls = read_templates("models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja");
std::vector<std::string> end_tokens{ "<|im_end|>" };
for (const auto & inputs : { inputs_no_tools, inputs_tools }) {
auto params = common_chat_templates_apply(tmpls.get(), inputs);
assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, params.format);
assert_equals(false, params.thinking_forced_open);
}
assert_equals(
COMMON_CHAT_FORMAT_HERMES_2_PRO,
common_chat_templates_apply(
read_templates("models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja").get(),
inputs_tools)
.format);
assert_equals(
COMMON_CHAT_FORMAT_HERMES_2_PRO,
common_chat_templates_apply(
read_templates("models/templates/Qwen-Qwen2.5-7B-Instruct.jinja").get(),
inputs_tools)
.format);
// Test parsing
assert_msg_equals(
{
/* .role = */ "assistant",
/* .content = */ "",
/* .content_parts = */ {},
/* .tool_calls = */ {
{
/* .name = */ "python",
/* .arguments = */ "",
/* .id = */ "",
}
},
/* .reasoning_content = */ "",
/* .tool_name = */ "",
/* .tool_call_id = */ "",
},
common_chat_parse(
"```json\n"
"<function_call> { \"name\" : \"python\"",
/* is_partial= */ true,
{COMMON_CHAT_FORMAT_HERMES_2_PRO}));
assert_msg_equals(message_assist_call_thoughts,
common_chat_parse(
// QwQ-32B's template adds a trailing <think> if add_generation_prompt
"I'm\nthinking</think>\n"
"<tool_call>{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}</tool_call>",
/* is_partial= */ false,
{
/* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
/* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
/* .reasoning_in_content = */ false,
/* .thinking_forced_open = */ true,
}));
assert_msg_equals(
message_assist_call,
common_chat_parse(
"<tool_call>\n"
"{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
"</tool_call>",
/* is_partial= */ false,
{COMMON_CHAT_FORMAT_HERMES_2_PRO}));
assert_msg_equals(message_assist_call_content,
common_chat_parse(
"Hello, world!\nWhat's up?<tool_call>\n"
"{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
"</tool_call>",
/* is_partial= */ false,
{COMMON_CHAT_FORMAT_HERMES_2_PRO}));
assert_msg_equals(
message_assist_call,
common_chat_parse(
"<function=special_function>{\"arg1\": 1}</function>",
/* is_partial= */ false,
{COMMON_CHAT_FORMAT_HERMES_2_PRO}));
assert_msg_equals(
message_assist_call,
common_chat_parse(
"<function name=\"special_function\">\n"
"{\"arg1\": 1}\n"
"</function>",
/* is_partial= */ false,
{COMMON_CHAT_FORMAT_HERMES_2_PRO}));
assert_msg_equals(
message_assist_call,
common_chat_parse(
"<tool>\n"