Felipe97/llama-cpp-compiled
01.2k
1#include "parsers.h"2 3namespace workaround {4 5// Gemma4 uses a custom tool_responses field instead of role:tool messages.6//7// This will transform a sequence of messages:8// assistant(tool_call+) -> tool+ -> assistant(content)9//10// Into a single assistant message containing a tool_responses field:11// assistant(content + tool_call + tool_responses)12//13// This is necessary for the Gemma4 chat template to properly format the prompt.14// See https://ai.google.dev/gemma/docs/core/prompt-formatting-gemma415struct gemma4_model_turn_builder {16 json & messages;17 size_t pos;18 json tool_calls = json::array();19 json tool_responses = json::array();20 json content;21 json reasoning_content;22 23 gemma4_model_turn_builder(json & msgs, size_t pos) : messages(msgs), pos(pos) {}24 25 void collect() {26 // Collect the first assistant message27 auto & msg = messages[pos];28 if (msg.contains("reasoning_content") && msg.at("reasoning_content").is_string()) {29 // According to the prompt formatting guide, we need to preserve reasoning_content30 // between function calls. The current chat templates do not support this, but we will do it anyway.31 reasoning_content = msg.at("reasoning_content");32 }33 for (auto & tc : msg.at("tool_calls")) {34 tool_calls.push_back(tc);35 }36 pos++;37 38 // Collect tool call results39 while (pos < messages.size() && messages[pos].value("role", "") == "tool") {40 collect_result(messages[pos]);41 pos++;42 }43 44 // Check if the next assistant message is the final message45 if (pos < messages.size() && messages[pos].value("role", "") == "assistant") {46 auto & next = messages[pos];47 if (!has_tool_calls(next) && has_content(next)) {48 content = next.at("content");49 pos++;50 }51 }52 }53 54 void collect_result(const json & curr) {55 json response;56 if (curr.contains("content")) {57 const auto & content = curr.at("content");58 if (content.is_string()) {59 // Try to parse the content as JSON; fall back to raw string60 try {61 response = json::parse(content.get<std::string>());62 } catch (...) {63 response = content;64 }65 } else {66 response = content;67 }68 }69 70 std::string name;71 72 // Match name with corresponding tool call73 size_t idx = tool_responses.size();74 if (idx < tool_calls.size()) {75 auto & tc = tool_calls[idx];76 if (tc.contains("function")) {77 name = tc.at("function").value("name", "");78 }79 }80 81 // Fallback to the tool call id82 if (name.empty()) {83 name = curr.value("tool_call_id", "");84 }85 86 tool_responses.push_back({{"name", name}, {"response", response}});87 }88 89 json build() {90 collect();91 92 json msg = {93 {"role", "assistant"},94 {"tool_calls", tool_calls},95 };96 if (!tool_responses.empty()) {97 msg["tool_responses"] = tool_responses;98 }99 if (!content.is_null()) {100 msg["content"] = content;101 }102 if (!reasoning_content.is_null()) {103 msg["reasoning_content"] = reasoning_content;104 }105 return msg;106 }107 108 static bool has_content(const json & msg) {109 if (!msg.contains("content") || msg.at("content").is_null()) {110 return false;111 }112 const auto & content = msg.at("content");113 if (content.is_string() && !content.get<std::string>().empty()) {114 return true;115 }116 if (content.is_array() && !content.empty()) {117 return true;118 }119 return false;120 }121 122 static bool has_tool_calls(const json & msg) {123 return msg.contains("tool_calls") && msg.at("tool_calls").is_array() && !msg.at("tool_calls").empty();124 }125};126 127void convert_tool_responses_gemma4(json & messages) {128 json result = json::array();129 size_t i = 0;130 131 while (i < messages.size()) {132 auto & msg = messages[i];133 134 if (msg.value("role", "") != "assistant" || !msg.contains("tool_calls") ||135 !msg.at("tool_calls").is_array() || msg.at("tool_calls").empty()) {136 result.push_back(msg);137 i++;138 continue;139 }140 141 gemma4_model_turn_builder builder(messages, i);142 result.push_back(builder.build());143 i = builder.pos;144 }145 146 messages = result;147}148 149}150 151common_chat_params common_chat_params_init_gemma4(const common_chat_template & tmpl,152 const autoparser::generation_params & inputs) {153 common_chat_params data;154 155 data.prompt = common_chat_template_direct_apply_impl(tmpl, inputs);156 data.generation_prompt = common_chat_template_generation_prompt_impl(tmpl, inputs);157 158 if (inputs.add_generation_prompt && string_ends_with(data.prompt, "<turn|>\n")) {159 // This may happen if the model generates content + tool_call, the160 // template does not add the model's next turn and confuses the model161 // from emitting its proper reasoning token sequence.162 data.generation_prompt = "<|turn>model\n";163 data.prompt += data.generation_prompt;164 }165 166 data.message_delimiters = {167 { COMMON_CHAT_ROLE_USER, "<|turn>user" },168 { COMMON_CHAT_ROLE_ASSISTANT, "<|turn>model" },169 };170 171 data.format = COMMON_CHAT_FORMAT_PEG_GEMMA4;172 data.supports_thinking = true;173 data.thinking_start_tag = "<|channel>thought";174 data.thinking_end_tags = {"<channel|>"};175 176 data.preserved_tokens = {177 "<|channel>",178 "<channel|>",179 "<|tool_call>",180 "<tool_call|>",181 "<|turn>",182 };183 184 if (inputs.has_continuation()) {185 const auto & msg = inputs.continue_msg;186 187 data.generation_prompt = string_ends_with(data.prompt, "<turn|>\n") ? "<|turn>model\n" : "";188 data.generation_prompt += "<|channel>thought\n" + msg.reasoning_content;189 if (inputs.continue_final_message == COMMON_CHAT_CONTINUATION_CONTENT) {190 data.generation_prompt += "<channel|>" + msg.render_content();191 }192 193 data.prompt += data.generation_prompt;194 }195 196 auto has_tools = inputs.tools.is_array() && !inputs.tools.empty();197 auto has_response_format = !inputs.json_schema.is_null() && inputs.json_schema.is_object();198 auto include_grammar = has_response_format || (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE);199 auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;200 201 auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {202 auto start = p.rule("start", p.optional(p.literal("<|turn>model\n")));203 204 if (extract_reasoning) {205 p.rule("thought", p.literal("<|channel>thought") + p.space() + p.reasoning(p.until("<channel|>")) + p.literal("<channel|>"));206 } else {207 p.rule("thought", p.content(p.literal("<|channel>thought") + p.space() + p.until("<channel|>") + p.literal("<channel|>")));208 }209 210 auto consume_empty_channels = p.gbnf(p.zero_or_more(p.literal("<|channel>") + p.negate(p.literal("thought"))), "");211 auto thought = (p.peek(p.literal("<|channel>")) + consume_empty_channels + p.ref("thought")) | p.negate(p.literal("<|channel>"));212 213 if (has_response_format) {214 auto response_format = p.literal("```json") <<215 p.content(p.schema(p.json(), "response-format-schema", inputs.json_schema)) <<216 p.literal("```");217 return start + p.optional(thought) + response_format;218 }219 220 if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE) {221 // Gemma4 tool calling syntax222 // Rules should match traversal logic in gemma4_to_json()223 p.rule("gemma4-string-content", p.until("<|\"|>"));224 p.rule("gemma4-string", p.literal("<|\"|>") + p.ref("gemma4-string-content") + p.literal("<|\"|>"));225 p.rule("gemma4-bool", p.json_bool());226 p.rule("gemma4-null", p.json_null());227 p.rule("gemma4-number", p.json_number());228 p.rule("gemma4-dict-key", p.rule("gemma4-dict-key-name", p.chars("[^:}]", 1, -1)) + p.literal(":"));229 p.rule("gemma4-dict-kv", p.ref("gemma4-dict-key") + p.space() + p.ref("gemma4-value"));230 p.rule("gemma4-dict", [&]() {231 auto ws = p.space();232 auto member = p.ref("gemma4-dict-kv");233 auto members = p.sequence({member, p.zero_or_more(p.sequence({p.literal(","), ws, member}))});234 return p.sequence({235 p.literal("{"), ws,236 p.choice({p.literal("}"), p.sequence({members, ws, p.literal("}")})})237 });238 });239 p.rule("gemma4-array", [&]() {240 auto ws = p.space();241 auto value = p.ref("gemma4-value");242 auto elements = p.sequence({value, p.zero_or_more(p.sequence({p.literal(","), ws, value}))});243 return p.sequence({244 p.literal("["), ws,245 p.choice({p.literal("]"), p.sequence({elements, ws, p.literal("]")})})246 });247 });248 p.rule("gemma4-value", [&]() {249 return p.choice({250 p.ref("gemma4-string"), p.ref("gemma4-dict"), p.ref("gemma4-array"),251 p.ref("gemma4-number"), p.ref("gemma4-bool"), p.ref("gemma4-null")252 });253 });254 255 auto tool_choice = p.choice();256 257 foreach_function(inputs.tools, [&](const json & tool) {258 const auto & function = tool.at("function");259 std::string name = function.at("name");260 // TODO @aldehir : need to extend json-schema-to-grammar to produce more than JSON rules261 // const auto & params = function.at("parameters");262 263 tool_choice |= p.rule("tool-" + name, p.tool(p.sequence({264 p.tool_open(p.tool_name(p.literal(name)) + p.peek(p.literal("{"))),265 p.tool_args(p.ref("gemma4-dict")),266 })));267 });268 269 auto tool_call = p.trigger_rule("tool-call", p.repeat(270 "<|tool_call>call:" + tool_choice + "<tool_call|>",271 /* min = */ inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED ? 1 : 0,272 /* max = */ inputs.parallel_tool_calls ? -1 : 1273 ));274 275 auto scan_to_toolcall = p.rule("scan-to-toolcall", p.until("<|tool_call>"));276 auto content = p.rule("content", p.content(p.until_one_of({"<|channel>", "<channel|>", "<|tool_call>"})));277 auto message = p.rule("message", thought + content);278 return start + p.zero_or_more(message) + scan_to_toolcall + tool_call;279 }280 281 // Gemma 4 may emit an extra <|channel>thought\n<channel|> at the end of the content. It may282 // also emit a single trailing <channel|> token. Consume all complete reasoning blocks and283 // then stop at the first unmatched <channel|> token.284 auto content = p.rule("content", p.content(p.until_one_of({"<|channel>", "<channel|>"})));285 auto message = p.rule("message", thought + content);286 return start + p.one_or_more(message);287 });288 289 data.parser = parser.save();290 291 if (include_grammar) {292 data.grammar_lazy = !(has_response_format || (has_tools && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED));293 data.grammar = build_grammar([&](const common_grammar_builder & builder) {294 parser.build_grammar(builder, data.grammar_lazy);295 });296 297 data.grammar_triggers = {298 { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<|tool_call>" },299 };300 }301 302 return data;303}304 