tool-calls
: basic Nemo support, default parallel to true if template mentions tool_call_id
This commit is contained in:
parent
fc80ad20ce
commit
3e12b9b38e
6 changed files with 227 additions and 77 deletions
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@ -26,6 +26,7 @@ class chat_template {
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// Most other templates (and OpenAI's API) expect the arguments object to be stringified.
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bool _requires_object_arguments = false;
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bool _supports_system_role = true;
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bool _supports_parallel_tool_calls = false;
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std::string _source;
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std::string _bos_token;
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std::string _eos_token;
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@ -40,6 +41,7 @@ class chat_template {
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source.find("tool_call.arguments | items") != std::string::npos
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|| source.find("tool_call.arguments | tojson") != std::string::npos;
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_supports_system_role = source.find("System role not supported") == std::string::npos;
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_supports_parallel_tool_calls = source.find("tool_call_id") != std::string::npos;
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_template_root = minja::Parser::parse(_source, {
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/* .trim_blocks = */ true,
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@ -50,6 +52,7 @@ class chat_template {
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const std::string & source() const { return _source; }
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bool supports_tools() const { return _supports_tools; }
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bool supports_parallel_tool_calls() const { return _supports_parallel_tool_calls; }
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std::string apply(
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const nlohmann::ordered_json & messages,
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@ -14,6 +14,8 @@ using json = nlohmann::ordered_json;
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std::string llama_tool_call_style_name(llama_tool_call_style style) {
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switch (style) {
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case llama_tool_call_style::None:
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return "None";
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case llama_tool_call_style::Generic:
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return "Generic";
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case llama_tool_call_style::Llama31:
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@ -28,6 +30,8 @@ std::string llama_tool_call_style_name(llama_tool_call_style style) {
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return "Hermes2Pro";
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case llama_tool_call_style::CommandRPlus:
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return "CommandRPlus";
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case llama_tool_call_style::MistralNemo:
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return "MistralNemo";
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default:
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return "Unknown";
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}
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@ -51,6 +55,8 @@ llama_tool_call_style llama_tool_call_style_detect(const minja::chat_template &
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}
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} else if (src.find("<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>") != std::string::npos) {
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return CommandRPlus;
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} else if (src.find("[TOOL_CALLS]") != std::string::npos) {
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return MistralNemo;
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} else {
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return Generic;
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}
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@ -146,7 +152,7 @@ static llama_tool_calls parse_json_tool_calls(const json & tools, const std::str
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throw std::runtime_error("Malformed input, missing closing pattern");
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}
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it = match.suffix().first;
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result.tool_calls.push_back({name, arguments.dump()});
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result.tool_calls.push_back({name, arguments.dump(), /* id= */ ""});
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}
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return result;
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}
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@ -176,6 +182,7 @@ static llama_tool_calls parse_hermes_tool_calls(const std::string& input) {
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result.tool_calls.push_back({
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call["name"],
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call["arguments"].dump(),
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/* id= */ "",
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});
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rit = {it, end, middle_pattern};
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if (rit != rend) {
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@ -241,12 +248,14 @@ static llama_tool_calls parse_generic_tool_calls(const std::string& input) {
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result.tool_calls.push_back({
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tool_call["name"],
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tool_call["arguments"].dump(),
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/* id= */ "",
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});
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}
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} else if (data.contains("tool_call")) {
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result.tool_calls.push_back({
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data["tool_call"]["name"],
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data["tool_call"]["arguments"].dump(),
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/* id= */ "",
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});
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} else if (data.contains("response")) {
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const auto & response = data["response"];
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@ -255,8 +264,38 @@ static llama_tool_calls parse_generic_tool_calls(const std::string& input) {
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return result;
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}
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static llama_tool_calls parse_mistral_nemo_tool_calls(const std::string& input) {
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auto content_end = input.find("[TOOL_CALLS]");
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size_t tc_start = std::string::npos;
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if (content_end != std::string::npos) {
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tc_start = content_end + 12;
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} else {
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// Somehow not getting [TOOL_CALLS] in the output. Oh well, just do without it.
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content_end = input.find("[{\"");
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if (content_end == std::string::npos || content_end > 0) {
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return {input, {}};
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}
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tc_start = content_end;
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}
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llama_tool_calls result;
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result.content = input.substr(0, content_end);
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auto tool_calls = json::parse(input.substr(tc_start));
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for (const auto & tool_call : tool_calls) {
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const auto & arguments = tool_call["arguments"];
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result.tool_calls.push_back({
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tool_call["name"],
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arguments.is_string() ? arguments.get<std::string>() : arguments.dump(),
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tool_call["id"],
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});
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}
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return result;
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}
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llama_tool_calls parse_tool_calls(llama_tool_call_style style, const json & tools, const std::string& input) {
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fprintf(stderr, "# parse_tool_calls:\n\n%s\n\n", input.c_str());
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switch (style) {
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case llama_tool_call_style::None:
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return {input, {}};
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case llama_tool_call_style::Generic:
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return parse_generic_tool_calls(input);
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case llama_tool_call_style::Llama31:
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@ -269,23 +308,43 @@ llama_tool_calls parse_tool_calls(llama_tool_call_style style, const json & tool
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return parse_functionary_v3_llama_3_1_tool_calls(tools, input);
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case llama_tool_call_style::Hermes2Pro:
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return parse_hermes_tool_calls(input);
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case llama_tool_call_style::MistralNemo:
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return parse_mistral_nemo_tool_calls(input);
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default:
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throw std::runtime_error("Unsupported tool call style");
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}
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}
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static nlohmann::ordered_json add_system(const nlohmann::ordered_json & messages, const std::string & system_prompt) {
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json messages_with_system = messages;
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if (messages_with_system.size() > 0 && messages_with_system[0].at("role") == "system") {
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messages_with_system.at(0).at("content") += ("\n" + system_prompt);
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} else {
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messages_with_system.insert(messages_with_system.begin(), json {
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{"role", "system"},
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{"content", system_prompt},
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});
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}
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return messages_with_system;
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}
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llama_tool_call_handler llama_tool_call_handler_init(
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llama_tool_call_style style,
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const minja::chat_template & tmpl,
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bool allow_content,
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bool parallel_tool_calls,
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const nlohmann::ordered_json & parallel_tool_calls,
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const nlohmann::ordered_json & messages,
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const nlohmann::ordered_json & tools,
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const nlohmann::ordered_json & json_schema)
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{
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llama_tool_call_handler handler;
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auto parallel = parallel_tool_calls.is_null() ? tmpl.supports_parallel_tool_calls() : parallel_tool_calls.get<bool>();
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switch (style) {
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case llama_tool_call_style::None:
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handler.prompt = tmpl.apply(messages, tools, /* add_generation_prompt= */ true);
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break;
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case llama_tool_call_style::Generic: {
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auto tool_call_schemas = json::array();
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for (const auto & tool : tools) {
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@ -307,16 +366,14 @@ llama_tool_call_handler llama_tool_call_handler_init(
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{"required", json::array({"name", "arguments"})},
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});
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}
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const auto tool_call = json {{"anyOf", tool_call_schemas}};
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const auto schema = json {
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{"anyOf", json::array({
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parallel_tool_calls
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const auto tool_call =
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parallel
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? json {
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{"type", "object"},
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{"properties", {
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{"tool_calls", {
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{"type", "array"},
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{"items", tool_call}
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{"items", json {{"anyOf", tool_call_schemas}}}
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}},
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}},
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{"required", json::array({"tool_calls"})},
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@ -324,10 +381,15 @@ llama_tool_call_handler llama_tool_call_handler_init(
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: json {
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{"type", "object"},
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{"properties", {
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{"tool_call", tool_call},
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{"tool_call", json {{"anyOf", tool_call_schemas}}},
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}},
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{"required", json::array({"tool_call"})},
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},
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};
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const auto schema =
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allow_content
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? json {
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{"anyOf", json::array({
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tool_call,
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{
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{"type", "object"},
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{"properties", {
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@ -338,12 +400,64 @@ llama_tool_call_handler llama_tool_call_handler_init(
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}},
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},
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})}
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};
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}
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: tool_call;
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handler.grammar = build_grammar([&](const llama_grammar_builder & builder) {
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builder.add_schema("", schema);
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});
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// TODO: add schema to system prompt.
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handler.prompt = tmpl.apply(messages, tools, /* add_generation_prompt= */ true);
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auto tweaked_messages = add_system(
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messages,
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"Respond in JSON format, either with a request to call tools or with a response to the user's request. Here is the schema for all responses:\n\n```json\n" + schema.dump(2) + "\n```");
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handler.prompt = tmpl.apply(tweaked_messages, tools, /* add_generation_prompt= */ true);
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break;
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}
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case llama_tool_call_style::MistralNemo: {
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handler.grammar = build_grammar([&](const llama_grammar_builder & builder) {
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auto schemas = json::array();
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for (const auto & tool : tools) {
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if (tool["type"] != "function") {
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continue;
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}
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const auto & function = tool["function"];
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std::string name = function["name"];
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auto parameters = function["parameters"];
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auto schema = json {
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{"type", "object"},
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{"properties", {
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// Important note: the model is probably trained to take a JSON stringified arguments value.
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// It's hard to constrain that for now (while reusing the JSON schema conversion), so we're just expecting a plain object.
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{"arguments", parameters},
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{"name", {
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{"type", "string"},
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{"const", name},
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}},
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{"id", {
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{"type", "string"},
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// Nemo's template expects a 9-character alphanumeric ID.
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{"pattern", "^[a-zA-Z0-9]{9}$"},
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}},
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}},
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{"required", json::array({"arguments", "id", "name"})},
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};
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schemas.push_back(schema);
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}
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auto schema = json {
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{"type", "array"},
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{"items", json {{"anyOf", schemas}}},
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{"minItems", 1},
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};
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if (!parallel) {
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schema["maxItems"] = 1;
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}
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builder.add_schema("", schema);
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});
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if (allow_content) {
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handler.grammar_trigger_words.push_back("[TOOL_CALLS]");
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handler.grammar_trigger_words.push_back("[{\"");
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}
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auto tweaked_messages = add_system(messages, "Prefix any tool calls with [TOOL_CALLS]");
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handler.prompt = tmpl.apply(tweaked_messages, tools, /* add_generation_prompt= */ true);
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break;
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}
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case llama_tool_call_style::Llama31:
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@ -427,7 +541,7 @@ llama_tool_call_handler llama_tool_call_handler_init(
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}
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}
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auto first_rule = builder.add_rule("first_tool_call", join(first_tool_rules.begin(), first_tool_rules.end(), " | ")) + " space";
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if (parallel_tool_calls) {
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if (parallel) {
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auto subsequent_rule = builder.add_rule("subsequent_tool_call", join(subsequent_tool_rules.begin(), subsequent_tool_rules.end(), " | ")) + " space";
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builder.add_rule("root", first_rule + " (" + subsequent_rule + ")*");
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} else {
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@ -459,7 +573,7 @@ llama_tool_call_handler llama_tool_call_handler_init(
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}
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}
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auto tool_call = builder.add_rule("tool_call", join(tool_rules.begin(), tool_rules.end(), " | ")) + " space";
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builder.add_rule("root", parallel_tool_calls ? "(" + tool_call + ")+" : tool_call);
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builder.add_rule("root", parallel ? "(" + tool_call + ")+" : tool_call);
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if (allow_content) {
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handler.grammar_trigger_words.push_back("<function=");
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}
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@ -489,7 +603,7 @@ llama_tool_call_handler llama_tool_call_handler_init(
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}
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auto tool_call = "\"<tool_call>\" space " + builder.add_rule("tool_call", join(tool_rules.begin(), tool_rules.end(), " | ")) + " \"</tool_call>\" space";
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builder.add_rule("root", parallel_tool_calls ? "(" + tool_call + ")+" : tool_call);
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builder.add_rule("root", parallel ? "(" + tool_call + ")+" : tool_call);
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if (allow_content) {
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handler.grammar_trigger_words.push_back("<tool_call>");
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}
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@ -9,6 +9,7 @@
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enum llama_tool_call_style {
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UnknownToolCallStyle,
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None,
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Generic,
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Llama31,
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Llama32,
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@ -16,11 +17,13 @@ enum llama_tool_call_style {
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FunctionaryV3Llama31,
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Hermes2Pro,
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CommandRPlus,
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MistralNemo,
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};
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struct llama_tool_call {
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std::string name;
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std::string arguments;
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std::string id;
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};
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struct llama_tool_calls {
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@ -45,7 +48,7 @@ llama_tool_call_handler llama_tool_call_handler_init(
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llama_tool_call_style style,
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const minja::chat_template & tmpl,
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bool allow_content,
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bool parallel_tool_calls,
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const nlohmann::ordered_json & parallel_tool_calls,
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const nlohmann::ordered_json & messages,
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const nlohmann::ordered_json & tools,
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const nlohmann::ordered_json & json_schema = {});
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@ -7,6 +7,11 @@
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```bash
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make -j LLAMA_CURL=1 llama-server
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# Mistral NeMo
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./llama-server --jinja -fa --verbose \
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-hfr bartowski/Mistral-Nemo-Instruct-2407-GGUF -hff Mistral-Nemo-Instruct-2407-Q8_0.gguf \
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--chat-template "$( python scripts/get_hf_chat_template.py mistralai/Mistral-Nemo-Instruct-2407 )"
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# Nous Hermes 2 Pro Llama 3 8B
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./llama-server --jinja -fa --verbose \
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-hfr NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF -hff Hermes-2-Pro-Llama-3-8B-Q8_0.gguf \
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@ -27,7 +32,7 @@
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# Llama 3.2 3B (poor adherence)
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./llama-server --jinja -fa --verbose \
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-hfr lmstudio-community/Llama-3.2-3B-Instruct-GGUF -hff Llama-3.2-3B-Instruct-Q6_K_L.gguf \
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-hfr lmstudio-community/Llama-3.2-3B-Instruct-GGUF -hff Llama-3.2-3B-Instruct-Q6_K.gguf \
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--chat-template "$( python scripts/get_hf_chat_template.py meta-llama/Llama-3.2-3B-Instruct )"
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# Llama 3.2 1B (very poor adherence)
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@ -39,12 +44,8 @@
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- Run the tools in [examples/agent/tools](./examples/agent/tools) inside a docker container (check http://localhost:8088/docs once running):
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```bash
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export BRAVE_SEARCH_API_KEY=... # https://api.search.brave.com/
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# Shorthand: ./examples/agent/serve_tools_inside_docker.sh
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docker run -p 8088:8088 -w /src -v $PWD/examples/agent:/src \
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--env BRAVE_SEARCH_API_KEY=$BRAVE_SEARCH_API_KEY \
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--rm -it ghcr.io/astral-sh/uv:python3.12-alpine \
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uv run serve_tools.py --port 8088
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export BRAVE_SEARCH_API_KEY=... # Get one at https://api.search.brave.com/
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./examples/agent/serve_tools_inside_docker.sh
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```
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> [!WARNING]
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@ -9,7 +9,7 @@
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"content": "",
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"tool_calls": [
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{
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"id": "call_1",
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"id": "call_1___",
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"type": "function",
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"function": {
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"arguments": "{\"code\": \"print('Hello, World!')\"}",
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@ -20,6 +20,7 @@
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},
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{
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"role": "tool",
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"tool_call_id": "call_1___",
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"name": "ipython",
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"content": "{\"stdout\": \"Hello, World!\"}"
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},
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@ -36,7 +37,7 @@
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"content": "",
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"tool_calls": [
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{
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"id": "call_2",
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"id": "call_2___",
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"type": "function",
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"function": {
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"arguments": "{\"condition\":true}",
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@ -47,6 +48,7 @@
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},
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{
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"role": "tool",
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"tool_call_id": "call_2___",
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"name": "test",
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"content": "true"
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},
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@ -63,7 +65,7 @@
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"content": "",
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"tool_calls": [
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{
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"id": "call_3",
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"id": "call_3___",
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"type": "function",
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"function": {
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||||
"arguments": "{\"query\": \"what is truth anyway am I right?\"}",
|
||||
|
@ -74,6 +76,7 @@
|
|||
},
|
||||
{
|
||||
"role": "tool",
|
||||
"tool_call_id": "call_3___",
|
||||
"name": "brave_search",
|
||||
"content": "{\"title\":\"Truth: don't ask the web, ask an LLM instead!\",\"url\":\"https://en.wikipedia.org/wiki/Truth\"}"
|
||||
},
|
||||
|
|
|
@ -79,16 +79,21 @@ static void test_parse_tool_call(llama_tool_call_style style, const json & tools
|
|||
assert_equals(expected_content, result.content);
|
||||
auto tool_calls = json::array();
|
||||
for (const auto & tc : result.tool_calls) {
|
||||
tool_calls.push_back({
|
||||
auto tool_call = json {
|
||||
{"type", "function"},
|
||||
{"function", {
|
||||
{"name", tc.name},
|
||||
{"arguments", dump(json::parse(tc.arguments))},
|
||||
}}
|
||||
});
|
||||
{"name", tc.name},
|
||||
}},
|
||||
};
|
||||
if (!tc.id.empty()) {
|
||||
tool_call["id"] = tc.id;
|
||||
}
|
||||
auto expected = expected_tool_calls.dump();
|
||||
auto actual = tool_calls.dump();
|
||||
tool_calls.push_back(tool_call);
|
||||
}
|
||||
// Reparse / dump w/ non-ordered JSON variant.
|
||||
auto expected = nlohmann::json::parse(expected_tool_calls.dump()).dump();
|
||||
auto actual = nlohmann::json::parse(tool_calls.dump()).dump();
|
||||
assert_equals(expected, actual);
|
||||
}
|
||||
|
||||
|
@ -140,7 +145,7 @@ static void test_parsing() {
|
|||
{"name", "foo"},
|
||||
{"arguments", dump({
|
||||
{"bar", 1}
|
||||
})}
|
||||
})},
|
||||
}}
|
||||
};
|
||||
|
||||
|
@ -239,35 +244,38 @@ static void test_parsing() {
|
|||
{"arguments", dump({{"code", ""}})}
|
||||
}}
|
||||
}});
|
||||
auto just_special_function_call = json {{
|
||||
auto special_function_call = json {
|
||||
{"type", "function"},
|
||||
{"function", {
|
||||
{"arguments", dump({{"arg1", 1}})},
|
||||
{"name", "special_function"},
|
||||
{"arguments", dump({{"arg1", 1}})}
|
||||
}}
|
||||
}};
|
||||
}},
|
||||
};
|
||||
auto special_function_call_with_id = json::parse(special_function_call.dump());
|
||||
special_function_call_with_id["id"] = "123456789";
|
||||
|
||||
auto no_function_call = json::array();
|
||||
|
||||
test_parse_tool_call(llama_tool_call_style::Llama31, tools,
|
||||
"{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}",
|
||||
"",
|
||||
just_special_function_call);
|
||||
json::array({special_function_call}));
|
||||
test_parse_tool_call(llama_tool_call_style::Llama31, tools,
|
||||
"{\n \"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}",
|
||||
"",
|
||||
just_special_function_call);
|
||||
json::array({special_function_call}));
|
||||
test_parse_tool_call(llama_tool_call_style::Llama31, tools,
|
||||
"{\n\t\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}",
|
||||
"",
|
||||
just_special_function_call);
|
||||
json::array({special_function_call}));
|
||||
test_parse_tool_call(llama_tool_call_style::Llama31, tools,
|
||||
"{\n \"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}",
|
||||
"",
|
||||
just_special_function_call);
|
||||
json::array({special_function_call}));
|
||||
test_parse_tool_call(llama_tool_call_style::Llama31, tools,
|
||||
"{\"type\": \"function\", \"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}",
|
||||
"",
|
||||
just_special_function_call);
|
||||
json::array({special_function_call}));
|
||||
|
||||
// No match: function unknown
|
||||
test_parse_tool_call(llama_tool_call_style::Llama31, tools,
|
||||
|
@ -283,6 +291,15 @@ static void test_parsing() {
|
|||
"{\n \"name\": \"unknown_function\", \"arguments\": {\"arg1\": 1}}",
|
||||
"{\n \"name\": \"unknown_function\", \"arguments\": {\"arg1\": 1}}",
|
||||
no_function_call);
|
||||
|
||||
test_parse_tool_call(llama_tool_call_style::MistralNemo, tools,
|
||||
"Bleh[TOOL_CALLS][{\"arguments\": {\"arg1\": 1}, \"name\": \"special_function\", \"id\": \"123456789\"}]",
|
||||
"Bleh",
|
||||
json::array({special_function_call_with_id}));
|
||||
test_parse_tool_call(llama_tool_call_style::MistralNemo, tools,
|
||||
"[{\"arguments\": {\"arg1\": 1}, \"name\": \"special_function\", \"id\": \"123456789\"}]",
|
||||
"",
|
||||
json::array({special_function_call_with_id}));
|
||||
}
|
||||
|
||||
static void test_tool_call_style(const std::string & template_file, llama_tool_call_style expected) {
|
||||
|
@ -298,6 +315,8 @@ static void test_tool_call_style_detection() {
|
|||
test_tool_call_style("tests/chat/templates/meta-llama-Meta-Llama-3.1-8B-Instruct.jinja", Llama31);
|
||||
test_tool_call_style("tests/chat/templates/meta-llama-Llama-3.2-3B-Instruct.jinja", Llama32);
|
||||
test_tool_call_style("tests/chat/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja", CommandRPlus);
|
||||
test_tool_call_style("tests/chat/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja", MistralNemo);
|
||||
test_tool_call_style("tests/chat/templates/google-gemma-7b-it.jinja", Generic);
|
||||
}
|
||||
|
||||
static std::string get_message_prompt_delta(const minja::chat_template & tmpl, const std::vector<std::string> & end_tokens, const json & user_message, const json & delta_message, const json & tools) {
|
||||
|
@ -323,7 +342,7 @@ static std::string get_message_prompt_delta(const minja::chat_template & tmpl, c
|
|||
return delta;
|
||||
}
|
||||
|
||||
static void test_template(const std::string & template_file, const char * bos_token, const char * eos_token, const std::vector<std::string> & end_tokens, const json & tool_calling_message, const json & tools) {
|
||||
static void test_template(const std::string & template_file, const char * bos_token, const char * eos_token, const std::vector<std::string> & end_tokens, const json & tool_calling_message, const json & tools, bool skip_grammar_test = false) {
|
||||
std::cout << "# Testing template: " << template_file << std::endl << std::flush;
|
||||
const minja::chat_template tmpl(read_file(template_file), bos_token, eos_token);
|
||||
auto tool_call_style = llama_tool_call_style_detect(tmpl);
|
||||
|
@ -342,6 +361,7 @@ static void test_template(const std::string & template_file, const char * bos_to
|
|||
throw std::runtime_error("Failed to build grammar");
|
||||
}
|
||||
|
||||
if (!skip_grammar_test) {
|
||||
auto full_delta = get_message_prompt_delta(tmpl, end_tokens, user_message, tool_calling_message, tools);
|
||||
std::cout << "Full delta:\n```\n" << full_delta << "\n```" << std::endl;
|
||||
test_parse_tool_call(tool_call_style, tools, full_delta, "", tool_calls);
|
||||
|
@ -355,6 +375,7 @@ static void test_template(const std::string & template_file, const char * bos_to
|
|||
throw std::runtime_error("Failed to match content-less delta against grammar:\n\nContent-less delta: " + content_less_delta + "\n\nGrammar: " + handler.grammar);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
static void test_grammars() {
|
||||
auto tool_call_message = json {
|
||||
|
@ -365,9 +386,14 @@ static void test_grammars() {
|
|||
{"function", {
|
||||
{"name", "special_function"},
|
||||
{"arguments", "{\"arg1\": 1}"}
|
||||
}}
|
||||
}},
|
||||
}}}
|
||||
};
|
||||
auto tool_call_message_with_id = json::parse(tool_call_message.dump());
|
||||
tool_call_message_with_id["tool_calls"][0]["id"] = "123456789";
|
||||
|
||||
test_template("tests/chat/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja", "<s>", "</s>", { "</s>" }, tool_call_message_with_id, tools,
|
||||
/* skip_grammar_test= */ true);
|
||||
test_template("tests/chat/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja", "<s>", "</s>", { "<|im_end|>" }, tool_call_message, tools);
|
||||
test_template("tests/chat/templates/meta-llama-Meta-Llama-3.1-8B-Instruct.jinja", "<s>", "</s>", { "<|eom_id|>", "<|eot_id|>" }, tool_call_message, tools);
|
||||
test_template("tests/chat/templates/meta-llama-Llama-3.2-3B-Instruct.jinja", "<s>", "</s>", { "<|eom_id|>", "<|eot_id|>" }, tool_call_message, tools);
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue