PEG parser for LFM2 (#20251)
* PEG parser for LFM2 * Simplify using python_value()
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@ -476,6 +476,74 @@ common_peg_parser common_chat_peg_builder::standard_constructed_tools(
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return force_tool_calls ? section : optional(section);
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}
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// Python-style tool calls: name(arg1="value1", arg2=123)
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// Used only by LFM2 for now, so we don't merge it into autoparser
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common_peg_parser common_chat_peg_builder::python_style_tool_calls(
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const nlohmann::json & tools,
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bool parallel_tool_calls) {
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if (!tools.is_array() || tools.empty()) {
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return eps();
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}
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auto tool_choices = choice();
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for (const auto & tool_def : tools) {
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if (!tool_def.contains("function")) {
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continue;
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}
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const auto & function = tool_def.at("function");
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std::string name = function.at("name");
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nlohmann::json params = function.contains("parameters") ? function.at("parameters") : nlohmann::json::object();
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auto args = eps();
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if (params.contains("properties") && !params["properties"].empty()) {
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auto arg_choice = choice();
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for (const auto & el : params["properties"].items()) {
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const std::string & prop_name = el.key();
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const auto & prop_def = el.value();
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bool is_string_type = (prop_def.contains("type") && prop_def["type"] == "string");
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auto arg_name_parser = literal(prop_name);
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common_peg_parser arg_value_parser = eps();
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auto string_value_parser = choice({
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literal("\"") + tool_arg_string_value(json_string_content()) + literal("\""),
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literal("'") + tool_arg_string_value(json_string_content()) + literal("'")
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});
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if (is_string_type) {
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arg_value_parser = string_value_parser;
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} else {
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arg_value_parser = tool_arg_value(python_value());
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}
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// Full argument: name="value" or name=value
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auto arg_rule = tool_arg(
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tool_arg_open(eps()) +
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tool_arg_name(arg_name_parser) +
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literal("=") +
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arg_value_parser +
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tool_arg_close(eps())
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);
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arg_choice |= arg_rule;
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}
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args = arg_choice + zero_or_more("," + space() + arg_choice);
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}
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auto tool_parser = tool(tool_open(tool_name(literal(name)) + literal("(")) +
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space() + tool_args(args) + space() + tool_close(literal(")"))
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);
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tool_choices |= rule("tool-" + name, tool_parser);
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}
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if (parallel_tool_calls) {
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return "[" + space() + tool_choices + zero_or_more("," + space() + tool_choices) + space() + "]";
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}
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return "[" + space() + tool_choices + space() + "]";
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}
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// Helper: Parse dot notation key into prefix and field name
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static std::pair<std::string, std::string> parse_key_spec(const std::string & key) {
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auto dot_pos = key.find('.');
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@ -112,6 +112,11 @@ class common_chat_peg_builder : public common_peg_parser_builder {
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bool parallel_tool_calls,
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bool force_tool_calls);
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// Helper for Python-style function call format: name(arg1="value1", arg2=123)
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// Used by LFM2 and similar templates
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common_peg_parser python_style_tool_calls(const nlohmann::json & tools,
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bool parallel_tool_calls);
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private:
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// Implementation helpers for standard_json_tools — one per JSON tool call layout mode
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common_peg_parser build_json_tools_function_is_key(const nlohmann::json & tools,
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@ -1274,6 +1274,82 @@ static common_chat_params common_chat_params_init_kimi_k2(const common_chat_temp
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return data;
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}
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// LFM2 format:
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// - Reasoning: <think>{reasoning}</think> (optional, only if enable_thinking is true)
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// - Content: text after reasoning (optional)
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// - Tool calls: <|tool_call_start|>[function_name(arg1="value1", arg2="value2")]<|tool_call_end|>
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// Tool calls can appear multiple times (parallel tool calls)
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static common_chat_params common_chat_params_init_lfm2(const common_chat_template & tmpl,
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const autoparser::templates_params & inputs) {
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common_chat_params data;
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data.prompt = common_chat_template_direct_apply(tmpl, inputs);
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data.format = COMMON_CHAT_FORMAT_PEG_NATIVE;
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data.supports_thinking = true;
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data.preserved_tokens = {
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"<|tool_list_start|>",
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"<|tool_list_end|>",
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"<|tool_call_start|>",
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"<|tool_call_end|>",
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"<think>",
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"</think>",
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};
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auto has_tools = inputs.tools.is_array() && !inputs.tools.empty();
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auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
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auto include_grammar = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE;
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const std::string TOOL_CALL_START = "<|tool_call_start|>";
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const std::string TOOL_CALL_END = "<|tool_call_end|>";
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const std::string THINK_START = "<think>";
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const std::string THINK_END = "</think>";
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auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
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auto end = p.end();
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auto reasoning = p.eps();
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if (extract_reasoning && inputs.enable_thinking) {
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reasoning = p.optional(THINK_START + p.reasoning(p.until(THINK_END)) + THINK_END);
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}
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if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {
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return reasoning + p.content(p.rest()) + end;
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}
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auto tool_calls = p.rule("tool-calls",
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p.trigger_rule("tool-call", p.literal(TOOL_CALL_START) +
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p.python_style_tool_calls(inputs.tools, inputs.parallel_tool_calls) +
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p.literal(TOOL_CALL_END)
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)
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);
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auto content = p.content(p.until(TOOL_CALL_START));
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return reasoning + content + tool_calls + end;
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});
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data.parser = parser.save();
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if (include_grammar) {
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data.grammar_lazy = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO;
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data.grammar = build_grammar([&](const common_grammar_builder & builder) {
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foreach_function(inputs.tools, [&](const json & tool) {
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const auto & function = tool.at("function");
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auto schema = function.at("parameters");
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builder.resolve_refs(schema);
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});
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parser.build_grammar(builder, data.grammar_lazy);
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});
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data.grammar_triggers = {
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{ COMMON_GRAMMAR_TRIGGER_TYPE_WORD, TOOL_CALL_START }
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};
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}
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return data;
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}
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namespace workaround {
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// if first message is system and template does not support it, merge it with next message
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@ -1422,6 +1498,14 @@ static common_chat_params common_chat_templates_apply_jinja(const struct common_
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return common_chat_params_init_kimi_k2(tmpl, params);
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}
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// LFM2 - uses <|tool_list_start|>/<|tool_list_end|> markers and <|tool_call_start|>[name(args)]<|tool_call_end|> format
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// Detection: template has "<|tool_list_start|>" and "<|tool_list_end|>" markers
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if (src.find("<|tool_list_start|>") != std::string::npos &&
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src.find("<|tool_list_end|>") != std::string::npos) {
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LOG_DBG("Using specialized template: LFM2\n");
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return common_chat_params_init_lfm2(tmpl, params);
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}
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try {
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LOG_DBG("Using differential autoparser\n");
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struct autoparser::autoparser autoparser;
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@ -6,7 +6,7 @@
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{%- set messages = messages[1:] -%}
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{%- endif -%}
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{%- if tools -%}
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{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "You can use the following tools: <|tool_list_start|>[" -%}
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{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: <|tool_list_start|>[" -%}
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{%- for tool in tools -%}
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{%- if tool is not string -%}
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{%- set tool = tool | tojson -%}
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@ -17,7 +17,6 @@
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{%- endif -%}
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{%- endfor -%}
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{%- set ns.system_prompt = ns.system_prompt + "]<|tool_list_end|>" -%}
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{{- '**IMPORTANT**: The syntax for calling the tools is: <|tool_call_start|>JSON tool call goes here<|tool_call_end|>. Please only call tools in the specified manner.' -}}
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{%- endif -%}
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{%- if ns.system_prompt -%}
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{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
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@ -30,18 +29,9 @@
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{%- endif -%}
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{%- if message["role"] == "tool" -%}
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{%- set content = "<|tool_response_start|>" + content + "<|tool_response_end|>" -%}
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{%- elif message["role"] == "assistant" -%}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<|tool_call_start|>\n{"name": "' + tool_call.name + '", "arguments": ' + (tool_call.arguments if tool_call.arguments is string else tool_call.arguments | tojson) + '}\n<|tool_call_end|>\n' }}
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{%- endfor %}
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{%- endif %}
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{%- endif -%}
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{{- content + "<|im_end|>\n" -}}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{- "<|im_start|>assistant\n" -}}
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{%- endif -%}
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{%- endif -%}
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@ -1,37 +0,0 @@
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{{- bos_token -}}
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{%- set system_prompt = "" -%}
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{%- set ns = namespace(system_prompt="") -%}
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{%- if messages[0]["role"] == "system" -%}
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{%- set ns.system_prompt = messages[0]["content"] -%}
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{%- set messages = messages[1:] -%}
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{%- endif -%}
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{%- if tools -%}
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{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: <|tool_list_start|>[" -%}
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{%- for tool in tools -%}
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{%- if tool is not string -%}
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{%- set tool = tool | tojson -%}
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{%- endif -%}
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{%- set ns.system_prompt = ns.system_prompt + tool -%}
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{%- if not loop.last -%}
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{%- set ns.system_prompt = ns.system_prompt + ", " -%}
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{%- endif -%}
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{%- endfor -%}
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{%- set ns.system_prompt = ns.system_prompt + "]<|tool_list_end|>" -%}
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{%- endif -%}
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{%- if ns.system_prompt -%}
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{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
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{%- endif -%}
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{%- for message in messages -%}
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{{- "<|im_start|>" + message["role"] + "\n" -}}
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{%- set content = message["content"] -%}
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{%- if content is not string -%}
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{%- set content = content | tojson -%}
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{%- endif -%}
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{%- if message["role"] == "tool" -%}
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{%- set content = "<|tool_response_start|>" + content + "<|tool_response_end|>" -%}
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{%- endif -%}
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{{- content + "<|im_end|>\n" -}}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{- "<|im_start|>assistant\n" -}}
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{%- endif -%}
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@ -2387,6 +2387,78 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
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.run();
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}
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// LFM2-8B-A1B tests - uses <|tool_list_start|>/<|tool_list_end|> and <|tool_call_start|>[name(args)]<|tool_call_end|>
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{
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auto tst = peg_tester("models/templates/LFM2-8B-A1B.jinja", detailed_debug);
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// Basic content only
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tst.test("Hello, world!\nWhat's up?").expect(message_assist).run();
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// Single tool call without reasoning
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tst.test("<|tool_call_start|>[special_function(arg1=1)]<|tool_call_end|>")
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.tools({ special_function_tool })
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.expect(message_assist_call)
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.run();
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// Tool call with string argument
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tst.test("<|tool_call_start|>[get_time(city=\"XYZCITY\")]<|tool_call_end|>")
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.tools({ get_time_tool })
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.expect(message_with_tool_calls("get_time", "{\"city\":\"XYZCITY\"}"))
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.run();
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// Tool call with reasoning (enable_thinking=true)
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tst.test("<think>I'm\nthinking</think><|tool_call_start|>[special_function(arg1=1)]<|tool_call_end|>")
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.enable_thinking(true)
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.reasoning_format(COMMON_REASONING_FORMAT_AUTO)
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.tools({ special_function_tool })
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.expect(message_assist_call_thoughts)
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.run();
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// Multiple tool calls (parallel)
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tst.test("<|tool_call_start|>[special_function(arg1=1), special_function_with_opt(arg1=1, arg2=2)]<|tool_call_end|>")
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.parallel_tool_calls(true)
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.tools({
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special_function_tool, special_function_tool_with_optional_param
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})
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.expect_tool_calls({
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{ "special_function", R"({"arg1": 1})", {} },
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{ "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
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})
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.run();
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// Tool call with reasoning and content
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tst.test("<think>I need to call a function</think>"
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"Let me check the time.<|tool_call_start|>[get_time(city=\"Paris\")]<|tool_call_end|>")
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.enable_thinking(true)
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.reasoning_format(COMMON_REASONING_FORMAT_AUTO)
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.tools({ get_time_tool })
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.expect(message_with_reasoning_content_and_multiple_tool_calls(
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"I need to call a function", "Let me check the time.", { { "get_time", "{\"city\":\"Paris\"}" } }
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))
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.run();
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// Python tool with multiline code in string
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tst.test("<|tool_call_start|>[python(code=\"def hello():\\n print('hey')\")]<|tool_call_end|>")
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.tools({ python_tool })
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.expect_tool_calls({
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{ "python", R"#({"code": "def hello():\\n print('hey')"})#", "" }
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})
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.run();
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// Partial tool call (streaming)
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tst.test("<|tool_call_start|>[special_function(arg1=")
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.tools({ special_function_tool })
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.is_partial(true)
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.expect(simple_assist_msg("", "", "special_function", "{\"arg1\": "))
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.run();
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// Tool call with empty arguments
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tst.test("<|tool_call_start|>[empty_args()]<|tool_call_end|>")
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.tools({ empty_args_tool })
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.expect(simple_assist_msg("", "", "empty_args", "{}"))
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.run();
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}
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// Apertus-8B-Instruct tests - FUNC_NAME_AS_KEY format
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// Format: <|tools_prefix|>[{"function_name": {...arguments...}}]<|tools_suffix|>
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{
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