Felipe97/llama-cpp-compiled

1#include "parsers.h"2 3// LFM2 format detection: template uses <|tool_list_start|>[...]<|tool_list_end|> around the tool list4// and <|tool_call_start|>[...]<|tool_call_end|> around each tool call5bool is_lfm2_template(const std::string & src) {6    return src.find("<|tool_list_start|>") != std::string::npos &&7           src.find("<|tool_list_end|>")   != std::string::npos;8}9 10// LFM2/LFM2.5 parser. Tool calls are almost Python-style and parallel-capable11// (except dotted names and JSON literals true/false/null).12// Always wrapped in <|tool_call_start|>[name(args)]<|tool_call_end|> with optional <think> reasoning.13// tool_list_tokens preserves LFM2 system tool-list markers.14common_chat_params common_chat_params_init_lfm2(const common_chat_template &          tmpl,15                                                       const autoparser::generation_params & inputs,16                                                       bool tool_list_tokens) {17    common_chat_params data;18 19    const std::string TOOL_CALL_START = "<|tool_call_start|>";20    const std::string TOOL_CALL_END   = "<|tool_call_end|>";21    const std::string TOOL_LIST_START = "<|tool_list_start|>";22    const std::string TOOL_LIST_END   = "<|tool_list_end|>";23    const std::string THINK_START     = "<think>";24    const std::string THINK_END       = "</think>";25    const std::string GEN_PROMPT      = "<|im_start|>assistant\n";26 27    // Copy reasoning to the "thinking" field the template expects28    auto adjusted_messages = json::array();29    for (auto msg : inputs.messages) {30        if (msg.contains("reasoning_content") && msg.at("reasoning_content").is_string()) {31            msg["thinking"] = msg.at("reasoning_content");32        }33        adjusted_messages.push_back(msg);34    }35 36    data.prompt            = common_chat_template_direct_apply_impl(tmpl, inputs, adjusted_messages);37    data.generation_prompt = common_chat_template_generation_prompt_impl(tmpl, inputs, adjusted_messages);38    data.format            = COMMON_CHAT_FORMAT_PEG_NATIVE;39    data.supports_thinking = true;40    data.preserved_tokens  = { TOOL_CALL_START, TOOL_CALL_END, THINK_START, THINK_END };41    if (tool_list_tokens) {42        data.preserved_tokens.push_back(TOOL_LIST_START);43        data.preserved_tokens.push_back(TOOL_LIST_END);44    }45 46    data.thinking_start_tag = THINK_START;47    data.thinking_end_tags  = {THINK_END};48 49    auto has_tools           = inputs.tools.is_array() && !inputs.tools.empty();50    auto has_response_format = !inputs.json_schema.is_null() && inputs.json_schema.is_object();51    // Gate by reasoning format and whether the template supports <think>52    auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE &&53                             tmpl.source().find(THINK_START) != std::string::npos;54    auto include_grammar   = has_response_format || (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE);55 56    if (inputs.has_continuation()) {57        const auto & msg = inputs.continue_msg;58 59        data.generation_prompt = GEN_PROMPT + THINK_START + msg.reasoning_content;60        if (inputs.continue_final_message == COMMON_CHAT_CONTINUATION_CONTENT) {61            data.generation_prompt += THINK_END + msg.render_content();62        }63 64        data.prompt += data.generation_prompt;65    }66 67    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {68        auto generation_prompt = p.literal(GEN_PROMPT);69        auto end = p.end();70 71        auto reasoning = p.eps();72        if (extract_reasoning) {73            reasoning = p.optional(THINK_START + p.reasoning(p.until(THINK_END)) + THINK_END);74        }75 76        if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {77            if (has_response_format) {78                auto response_format = p.content(p.schema(p.json(), "response-format-schema", inputs.json_schema));79                return generation_prompt + reasoning + response_format + end;80            }81            return generation_prompt + reasoning + p.content(p.rest()) + end;82        }83        auto tool_calls = p.rule("tool-calls",84            p.trigger_rule("tool-call",85                p.literal(TOOL_CALL_START) +86                p.python_style_tool_calls(inputs.tools, inputs.parallel_tool_calls, /* allow_json_literals = */ true) +87                p.literal(TOOL_CALL_END)88            )89        );90 91        auto content = p.content(p.until(TOOL_CALL_START));92 93        return generation_prompt + reasoning + content + tool_calls + end;94    });95 96    data.parser = parser.save();97 98    if (include_grammar) {99        data.grammar_lazy = !(has_response_format || (has_tools && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED));100        data.grammar      = build_grammar([&](const common_grammar_builder & builder) {101            parser.build_grammar(builder, data.grammar_lazy);102        });103 104        data.grammar_triggers = {105            { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, TOOL_CALL_START }106        };107    }108 109    return data;110}111