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diff --git a/llama.cpp/tests/test-chat-peg-parser.cpp b/llama.cpp/tests/test-chat-peg-parser.cpp
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+++ b/llama.cpp/tests/test-chat-peg-parser.cpp
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+#include <string>
+#include <iostream>
+#include <numeric>
+
+#include "chat-parser.h"
+#include "chat-peg-parser.h"
+#include "chat.h"
+#include "common.h"
+#include "json-schema-to-grammar.h"
+#include "peg-parser.h"
+#include "testing.h"
+#include "peg-parser/simple-tokenize.h"
+#include "nlohmann/json.hpp"
+
+using json = nlohmann::ordered_json;
+
+static json create_tools();
+static void test_example_native(testing & t);
+static void test_example_qwen3_coder(testing & t);
+static void test_command7_parser_compare(testing & t);
+
+int main(int argc, char *argv[]) {
+ testing t(std::cout);
+ if (argc >= 2) {
+ t.set_filter(argv[1]);
+ }
+
+ const char * verbose = getenv("LLAMA_TEST_VERBOSE");
+ if (verbose) {
+ t.verbose = std::string(verbose) == "1";
+ }
+
+ t.test("native", test_example_native);
+ t.test("qwen3 coder", test_example_qwen3_coder);
+ t.test("comparison", test_command7_parser_compare);
+
+ return t.summary();
+}
+
+static json create_tools() {
+ json tools = json::array();
+
+ json tool_weather = {
+ {"type", "function"},
+ {"function", {
+ {"name", "get_current_weather"},
+ {"description", "Get the current weather in a given location"},
+ {"parameters", {
+ {"type", "object"},
+ {"properties", {
+ {"location", {
+ {"type", "string"},
+ {"description", "The city and state, e.g. San Francisco, CA"}
+ }},
+ {"unit", {
+ {"type", "string"},
+ {"enum", {"celsius", "fahrenheit"}},
+ {"description", "The temperature unit to use. Infer this from the users location."}
+ }}
+ }},
+ {"required", {"location", "unit"}},
+ }},
+ }}
+ };
+ tools.push_back(tool_weather);
+
+ json tool_forecast = {
+ {"type", "function"},
+ {"function", {
+ {"name", "get_forecast"},
+ {"description", "Get the weather forecast for a given location"},
+ {"parameters", {
+ {"type", "object"},
+ {"properties", {
+ {"location", {
+ {"type", "string"},
+ {"description", "The city and state, e.g. San Francisco, CA"}
+ }},
+ {"unit", {
+ {"type", "string"},
+ {"enum", {"celsius", "fahrenheit"}},
+ {"description", "The temperature unit to use. Infer this from the users location."}
+ }},
+ {"days", {
+ {"type", "integer"},
+ {"description", "Number of days to forecast (1-10)"},
+ {"minimum", 1},
+ {"maximum", 10}
+ }}
+ }},
+ {"required", {"location", "unit"}},
+ }},
+ }}
+ };
+ tools.push_back(tool_forecast);
+
+ json tool_search = {
+ {"type", "function"},
+ {"function", {
+ {"name", "search_knowledge_base"},
+ {"description", "Search the internal technical documentation knowledge base."},
+ {"parameters", {
+ {"type", "object"},
+ {"properties", {
+ {"query", {
+ {"type", "string"},
+ {"description", "The search query string."}
+ }},
+ {"max_results", {
+ {"type", "integer"},
+ {"description", "The maximum number of results to return."},
+ {"default", 5}
+ }},
+ {"category", {
+ {"type", "string"},
+ {"enum", {"api", "troubleshooting", "billing", "general"}},
+ {"description", "Filter search by specific category."}
+ }}
+ }},
+ {"required", {"query", "category"}},
+ {"additionalProperties", false}
+ }},
+ {"strict", true}
+ }}
+ };
+ tools.push_back(tool_search);
+
+ return tools;
+}
+
+struct tool_argument {
+ std::string name;
+ std::string type;
+ bool is_required;
+ json schema;
+};
+
+struct tool_definition {
+ std::string name;
+ std::vector<tool_argument> arguments;
+ json schema;
+};
+
+// Test fictitious model output that emits arguments as JSON.
+static void test_example_native(testing & t) {
+ struct test_case {
+ // Parameters
+ std::string name;
+ json tools;
+ common_chat_tool_choice tool_choice;
+ common_reasoning_format reasoning_format;
+ json json_schema;
+ bool parallel_tool_calls;
+ bool thinking_forced_open;
+ std::string input;
+
+ // Expect
+ std::string expect_reasoning;
+ std::string expect_content;
+ std::vector<common_chat_tool_call> expect_tool_calls;
+ };
+
+ auto build_parser = [](const test_case & tc) {
+ return build_chat_peg_native_parser([&](common_chat_peg_native_builder & p) {
+ auto reasoning_in_content = (tc.reasoning_format == COMMON_REASONING_FORMAT_NONE);
+ auto reasoning = p.eps();
+ if (tc.thinking_forced_open) {
+ // If thinking is forced open, expect a closing tag
+ reasoning = p.reasoning(p.until("</think>")) + "</think>" + p.space();
+ } else {
+ // Otherwise, optionally accept thinking wrapped in tags
+ reasoning = p.optional("<think>" + p.reasoning(p.until("</think>")) + "</think>" + p.space());
+ }
+
+ // tool calling parser
+ if (tc.tools.is_array() && !tc.tools.empty()) {
+ auto tools = p.choice();
+ for (const auto & tool : tc.tools) {
+ const auto & function = tool.at("function");
+ std::string name = function.at("name");
+ const auto & schema = function.at("parameters");
+
+ auto tool_name = p.json_member("name", "\"" + p.tool_name(p.literal(name)) + "\"");
+ auto tool_args = p.json_member("arguments", p.tool_args(p.schema(p.json(), "tool-" + name + "-schema", schema)));
+
+ tools |= p.rule("tool-" + name, p.tool_open(p.literal("{")) << tool_name << "," << tool_args << "}");
+ };
+
+ auto parallel_calls = p.eps();
+ if (tc.parallel_tool_calls) {
+ parallel_calls = p.zero_or_more("," << tools);
+ }
+
+ auto tool_call = p.trigger_rule("tool-call",
+ p.sequence({
+ p.literal("<tool_call>["),
+ tools,
+ parallel_calls,
+ p.literal("]</tool_call>")
+ })
+ );
+
+ return p.sequence({
+ (reasoning_in_content ? p.eps() : reasoning),
+ p.content(p.until("<tool_call>")),
+ p.optional(p.space() + tool_call),
+ p.space(),
+ p.end()
+ });
+ }
+
+ // response_format parser
+ if (tc.json_schema.is_object() && !tc.json_schema.empty()) {
+ return p.sequence({
+ (reasoning_in_content ? p.eps() : reasoning),
+ p.content(p.schema(p.json(), "response-output", tc.json_schema)),
+ p.space(),
+ p.end()
+ });
+ }
+
+ // Content-only parser
+ return p.sequence({
+ (reasoning_in_content ? p.eps() : reasoning),
+ p.content(p.rest()),
+ p.end()
+ });
+ });
+ };
+
+ std::vector<test_case> test_cases = std::vector<test_case>{
+ {
+ /* .name = */ "content with thinking_forced_open = false",
+ /* .tools = */ {},
+ /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE,
+ /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+ /* .json_schema = */ {},
+ /* .parallel_tool_calls = */ false,
+ /* .thinking_forced_open = */ false,
+ /* .input = */ (
+ "<think>The user said hello, I must say hello back</think>\nHello"
+ ),
+ /* .expect_reasoning = */ "The user said hello, I must say hello back",
+ /* .expect_content = */ "Hello",
+ /* .expect_tool_calls = */ {},
+ },
+ {
+ /* .name = */ "content with thinking_forced_open = false and no reasoning",
+ /* .tools = */ {},
+ /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE,
+ /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+ /* .json_schema = */ {},
+ /* .parallel_tool_calls = */ false,
+ /* .thinking_forced_open = */ false,
+ /* .input = */ (
+ "Hello"
+ ),
+ /* .expect_reasoning = */ "",
+ /* .expect_content = */ "Hello",
+ /* .expect_tool_calls = */ {},
+ },
+ {
+ /* .name = */ "content with thinking_forced_open = false and reasoning_format = none",
+ /* .tools = */ {},
+ /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE,
+ /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE,
+ /* .json_schema = */ {},
+ /* .parallel_tool_calls = */ false,
+ /* .thinking_forced_open = */ true,
+ /* .input = */ (
+ "<think>The user said hello, I must say hello back</think>\nHello"
+ ),
+ /* .expect_reasoning = */ "",
+ /* .expect_content = */ "<think>The user said hello, I must say hello back</think>\nHello",
+ /* .expect_tool_calls = */ {},
+ },
+ {
+ /* .name = */ "content with thinking_forced_open = true",
+ /* .tools = */ {},
+ /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE,
+ /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+ /* .json_schema = */ {},
+ /* .parallel_tool_calls = */ false,
+ /* .thinking_forced_open = */ true,
+ /* .input = */ (
+ "The user said hello, I must say hello back</think>\nHello"
+ ),
+ /* .expect_reasoning = */ "The user said hello, I must say hello back",
+ /* .expect_content = */ "Hello",
+ /* .expect_tool_calls = */ {},
+ },
+ {
+ /* .name = */ "content with thinking_forced_open = true and reasoning_format = none",
+ /* .tools = */ {},
+ /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE,
+ /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE,
+ /* .json_schema = */ {},
+ /* .parallel_tool_calls = */ false,
+ /* .thinking_forced_open = */ true,
+ /* .input = */ (
+ "The user said hello, I must say hello back</think>\nHello"
+ ),
+ /* .expect_reasoning = */ "",
+ /* .expect_content = */ "The user said hello, I must say hello back</think>\nHello",
+ /* .expect_tool_calls = */ {},
+ },
+ {
+ /* .name = */ "tools with tool_choice = auto and no parallel_tool_calls",
+ /* .tools = */ create_tools(),
+ /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_AUTO,
+ /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+ /* .json_schema = */ {},
+ /* .parallel_tool_calls = */ false,
+ /* .thinking_forced_open = */ true,
+ /* .input = */ (
+ "I must get the weather in New York</think>\n"
+ "<tool_call>["
+ R"({"name": "get_current_weather", "arguments": {"location": "New York City, NY", "unit": "fahrenheit"}})"
+ "]</tool_call>"
+ ),
+ /* .expect_reasoning = */ "I must get the weather in New York",
+ /* .expect_content = */ "",
+ /* .expect_tool_calls = */ {{
+ /* .name = */ "get_current_weather",
+ /* .arguments = */ R"({"location": "New York City, NY", "unit": "fahrenheit"})",
+ /* .id = */ "",
+ }},
+ },
+ {
+ /* .name = */ "tools with tool_choice = auto and parallel_tool_calls",
+ /* .tools = */ create_tools(),
+ /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_AUTO,
+ /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+ /* .json_schema = */ {},
+ /* .parallel_tool_calls = */ true,
+ /* .thinking_forced_open = */ true,
+ /* .input = */ (
+ "I must get the weather in New York and San Francisco and a 3 day forecast of each.</think>\nLet me search that for you."
+ "<tool_call>["
+ R"({"name": "get_current_weather", "arguments": {"location": "New York City, NY", "unit": "fahrenheit"}})"
+ ", "
+ R"({"name": "get_current_weather", "arguments": {"location": "San Francisco, CA", "unit": "fahrenheit"}})"
+ ", "
+ R"({"name": "get_forecast", "arguments": {"location": "New York City, NY", "unit": "fahrenheit", "days": 3}})"
+ ", "
+ R"({"name": "get_forecast", "arguments": {"location": "San Francisco, CA", "unit": "fahrenheit", "days": 3}})"
+ "]</tool_call>"
+ ),
+ /* .expect_reasoning = */ "I must get the weather in New York and San Francisco and a 3 day forecast of each.",
+ /* .expect_content = */ "Let me search that for you.",
+ /* .expect_tool_calls = */ {{
+ /* .name = */ "get_current_weather",
+ /* .arguments = */ R"({"location": "New York City, NY", "unit": "fahrenheit"})",
+ /* .id = */ "",
+ }, {
+ /* .name = */ "get_current_weather",
+ /* .arguments = */ R"({"location": "San Francisco, CA", "unit": "fahrenheit"})",
+ /* .id = */ "",
+ }, {
+ /* .name = */ "get_forecast",
+ /* .arguments = */ R"({"location": "New York City, NY", "unit": "fahrenheit", "days": 3})",
+ /* .id = */ "",
+ }, {
+ /* .name = */ "get_forecast",
+ /* .arguments = */ R"({"location": "San Francisco, CA", "unit": "fahrenheit", "days": 3})",
+ /* .id = */ "",
+ }},
+ },
+ {
+ /* .name = */ "response_format with thinking_forced_open = true",
+ /* .tools = */ {},
+ /* .tool_choice = */ COMMON_CHAT_TOOL_CHOICE_NONE,
+ /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+ /* .json_schema = */ {
+ {"type", "object"},
+ {"properties", {
+ {"invoice_number", {{"type", "string"}}},
+ {"amount", {{"type", "number"}}},
+ {"due_date", {{"type", "string"}}}
+ }},
+ {"required", {"invoice_number", "amount", "due_date"}}
+ },
+ /* .parallel_tool_calls = */ false,
+ /* .thinking_forced_open = */ true,
+ /* .input = */ (
+ "I must produce the invoice in the requested format</think>\n"
+ R"({"invoice_number": "INV-2025-001", "amount": 1250.50, "due_date": "2025-12-31"})"
+ ),
+ /* .expect_reasoning = */ "I must produce the invoice in the requested format",
+ /* .expect_content = */ R"({"invoice_number": "INV-2025-001", "amount": 1250.50, "due_date": "2025-12-31"})",
+ /* .expect_tool_calls = */ {},
+ },
+ };
+
+ for (const auto & tc : test_cases) {
+ t.test(tc.name, [&](testing & t) {
+ auto parser = build_parser(tc);
+ auto lazy = !tc.tools.empty() && tc.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+ auto grammar = build_grammar([&](const common_grammar_builder & builder) {
+ for (auto const & def : tc.tools) {
+ auto function = def.at("function");
+ auto parameters = function.at("parameters");
+ builder.resolve_refs(parameters);
+ };
+ parser.build_grammar(builder, lazy);
+ });
+
+ t.log("Grammar:");
+ for (auto const & line : string_split(grammar, "\n")) {
+ t.log(line);
+ }
+
+ common_peg_parse_context ctx(tc.input, false);
+ auto result = parser.parse(ctx);
+
+ t.assert_true("success", result.success());
+
+ common_chat_msg msg;
+ auto mapper = common_chat_peg_native_mapper(msg);
+ mapper.from_ast(ctx.ast, result);
+
+ t.assert_equal("content equal", tc.expect_content, msg.content);
+ t.assert_equal("reasoning equal", tc.expect_reasoning, msg.reasoning_content);
+ t.assert_equal("number of tool calls", tc.expect_tool_calls.size(), msg.tool_calls.size());
+ for (auto i = 0u; i < std::min(tc.expect_tool_calls.size(), msg.tool_calls.size()); i++) {
+ t.assert_equal("tool name", tc.expect_tool_calls[i].name, msg.tool_calls[i].name);
+ t.assert_equal("tool args", tc.expect_tool_calls[i].arguments, msg.tool_calls[i].arguments);
+ }
+ });
+ }
+}
+
+static void test_example_qwen3_coder(testing & t) {
+ auto tools = create_tools();
+ auto parser = build_chat_peg_constructed_parser([&](common_chat_peg_constructed_builder & p) {
+ auto content = p.rule("content", p.content(p.until("<tool_call>")));
+
+ std::vector<common_peg_parser> tool_parsers;
+ for (auto const & def : tools) {
+ auto function = def.at("function");
+ std::string name = function.at("name");
+ auto parameters = function.at("parameters");
+ auto properties = parameters.at("properties");
+
+ std::set<std::string> required_properties;
+ if (function.contains("required")) {
+ function.at("required").get_to(required_properties);
+ }
+
+ std::vector<common_peg_parser> arg_parsers;
+ for (const auto & [param_name, param_schema] : properties.items()) {
+ bool is_required = required_properties.find(param_name) != required_properties.end();
+ auto type = param_schema.value("type", "object");
+
+ auto arg = p.tool_arg(p.sequence({
+ p.tool_arg_open("<parameter=" + p.tool_arg_name(p.literal(param_name)) + ">"),
+ (type == "string" ?
+ p.tool_arg_string_value(
+ p.schema(
+ p.until_one_of({
+ "</parameter>\n<parameter=",
+ "</parameter>\n</function>"
+ }),
+ "tool-" + name + "-arg-" + param_name + "-schema",
+ param_schema,
+ true
+ )
+ ) : p.tool_arg_json_value(
+ p.schema(
+ p.json(),
+ "tool-" + name + "-arg-" + param_name + "-schema",
+ param_schema
+ )
+ )
+ ),
+ p.tool_arg_close(
+ "</parameter>\n" +
+ p.peek(p.literal("<parameter=") | p.literal("</function>"))
+ )
+ }));
+
+ arg_parsers.push_back(is_required ?
+ p.rule("tool-" + name + "-arg-" + param_name, arg) :
+ p.optional(p.rule("tool-" + name + "-arg-" + param_name, arg)));
+ }
+
+ tool_parsers.push_back(p.rule("tool-" + name,
+ p.tool_open("<function=" + p.tool_name(p.literal(name)) + ">")
+ << p.sequence(arg_parsers)
+ << p.tool_close(p.literal("</function>"))
+ ));
+ };
+
+ auto tool_call = p.trigger_rule("tool-call",
+ "<tool_call>"
+ << p.choice(tool_parsers)
+ << "</tool_call>"
+ );
+
+ return content + p.zero_or_more(p.space() + tool_call) + p.end();
+ });
+
+ auto grammar = build_grammar([&](const common_grammar_builder & builder) {
+ for (auto const & def : tools) {
+ auto function = def.at("function");
+ auto parameters = function.at("parameters");
+ builder.resolve_refs(parameters);
+ };
+ parser.build_grammar(builder);
+ });
+
+ t.log("Grammar:");
+ for (auto const & line : string_split(grammar, "\n")) {
+ t.log(line);
+ }
+
+ t.test("incremental parsing", [&](testing &t) {
+ std::string input =
+ "Let me search the knowledge base for cat pictures."
+ "<tool_call>\n"
+ "<function=search_knowledge_base>\n"
+ "<parameter=query>cat pictures</parameter>\n"
+ "<parameter=category>general</parameter>\n"
+ "</function>\n"
+ "</tool_call>";
+
+ std::vector<std::string> tokens = simple_tokenize(input);
+
+ common_chat_msg prev;
+ for (auto it = tokens.begin(); it != tokens.end(); it++) {
+ std::string in = std::accumulate(tokens.begin(), it + 1, std::string());
+
+ common_peg_parse_context ctx(in, it + 1 < tokens.end());
+
+ auto result = parser.parse(ctx);
+ if (!t.assert_equal("not fail", false, result.fail())) {
+ t.log(in.substr(0, result.end) + "[failed->]" + in.substr(result.end));
+ }
+
+ common_chat_msg msg;
+ auto mapper = common_chat_peg_constructed_mapper(msg);
+ mapper.from_ast(ctx.ast, result);
+
+ //t.log("Input: " + input);
+ t.log("===========================================");
+ t.log("Iteration " + std::to_string(in.size()));
+ t.log("Reasoning: " + msg.reasoning_content);
+ t.log("Content : " + msg.content);
+ for (const auto & tc : msg.tool_calls) {
+ t.log("Tool name: " + tc.name);
+ t.log("Tool args: " + tc.arguments);
+ }
+
+ try {
+ // This shouldn't emit any runtime errors
+ auto diffs = common_chat_msg_diff::compute_diffs(prev, msg);
+ } catch(const std::exception & e) {
+ t.log(in.substr(0, result.end) + "[failed->]" + in.substr(result.end));
+ t.assert_true(std::string("failed with ") + e.what(), false);
+ }
+
+ prev = msg;
+ }
+ });
+}
+
+void test_command7_parser_compare(testing & t) {
+ auto parser = build_chat_peg_native_parser([](common_chat_peg_native_builder & p) {
+ auto thinking = p.reasoning_block(
+ "<|START_THINKING|>" << p.reasoning(p.until("<|END_THINKING|>")) << "<|END_THINKING|>");
+
+ auto response = "<|START_RESPONSE|>" << p.content(p.until("<|END_RESPONSE|>")) << "<|END_RESPONSE|>";
+
+ auto tool_call_id = p.atomic("\"tool_call_id\"" << (":" << ("\"" + p.tool_id(p.json_string_content()) + "\"")));
+ auto tool_call_name = p.atomic("\"tool_name\"" << (":" << ("\"" + p.tool_name(p.json_string_content()) + "\"")));
+ auto tool_call_args = "\"parameters\"" << (":" << p.tool_args(p.json()));
+
+ auto tool_call_fields = p.rule("tool-call-fields", tool_call_id | tool_call_name | tool_call_args);
+ auto tool_call = p.rule("tool-call", p.tool(
+ p.tool_open(p.literal("{"))
+ << tool_call_fields
+ << p.zero_or_more( p.literal(",") << tool_call_fields)
+ << p.tool_close(p.literal("}"))
+ ));
+
+ auto tool_calls = p.rule("tool-calls",
+ "<|START_ACTION|>"
+ << ("[" << tool_call << p.zero_or_more(p.literal(",") << tool_call) << "]")
+ << "<|END_ACTION|>");
+
+ return p.optional(thinking) << (tool_calls | response) + p.end();
+ });
+
+ auto test_current = [&](const common_peg_arena & p, const std::string & input, bool is_partial, bool print_results) {
+ common_peg_parse_context ctx(input, is_partial);
+ auto result = p.parse(ctx);
+
+ common_chat_msg msg;
+ auto mapper = common_chat_peg_native_mapper(msg);
+ mapper.from_ast(ctx.ast, result);
+
+ if (print_results) {
+ std::cout << "== Parsed (new) ==\n";
+ std::cout << "=== Reasoning ===\n";
+ std::cout << msg.reasoning_content << "\n";
+ std::cout << "\n\n=== Content ===\n";
+ std::cout << msg.content << "\n";
+ std::cout << "\n\n=== Tool Calls ===\n";
+ for (const auto & tc : msg.tool_calls) {
+ std::cout << "id: " << tc.id << "\n";
+ std::cout << "name: " << tc.name << "\n";
+ std::cout << "args: " << tc.arguments << "\n";
+ }
+ }
+ };
+
+ auto test_legacy = [&](const std::string & input, bool need_more_input, bool print_results) {
+ // Original common_chat_combinator_parser taken from chat.cpp
+ common_chat_parser_params params;
+ params.format = COMMON_CHAT_FORMAT_GENERIC;
+ params.reasoning_format = COMMON_REASONING_FORMAT_AUTO;
+ params.reasoning_in_content = false;
+ params.thinking_forced_open = false;
+ common_chat_msg_parser builder(
+ input,
+ /* .is_partial = */ need_more_input,
+ params
+ );
+
+ builder.try_parse_reasoning("<|START_THINKING|>", "<|END_THINKING|>");
+
+ static const common_regex start_action_regex("<\\|START_ACTION\\|>");
+ static const common_regex end_action_regex("<\\|END_ACTION\\|>");
+ static const common_regex start_response_regex("<\\|START_RESPONSE\\|>");
+ static const common_regex end_response_regex("<\\|END_RESPONSE\\|>");
+
+ if (auto res = builder.try_find_regex(start_action_regex)) {
+ // If we didn't extract thoughts, prelude includes them.
+ auto tool_calls = builder.consume_json_with_dumped_args({ { "parameters" } });
+ for (const auto & tool_call : tool_calls.value) {
+ std::string name = tool_call.contains("tool_name") ? tool_call.at("tool_name") : "";
+ std::string id = tool_call.contains("tool_call_id") ? tool_call.at("tool_call_id") : "";
+ std::string arguments = tool_call.contains("parameters") ? tool_call.at("parameters") : "";
+ if (!builder.add_tool_call(name, id, arguments) || tool_calls.is_partial) {
+ throw common_chat_msg_partial_exception("incomplete tool call");
+ }
+ }
+ if (tool_calls.is_partial) {
+ throw common_chat_msg_partial_exception("incomplete tool call");
+ }
+ builder.consume_regex(end_action_regex);
+ } else if (auto res = builder.try_find_regex(start_response_regex)) {
+ if (!builder.try_find_regex(end_response_regex)) {
+ builder.add_content(builder.consume_rest());
+ throw common_chat_msg_partial_exception(end_response_regex.str());
+ }
+ } else {
+ builder.add_content(builder.consume_rest());
+ }
+
+ if (print_results) {
+ std::cout << "== Parsed (legacy) ==\n";
+ std::cout << "=== Reasoning ===\n";
+ std::cout << builder.result().reasoning_content << "\n";
+ std::cout << "\n\n=== Content ===\n";
+ std::cout << builder.result().content << "\n";
+ std::cout << "\n\n=== Tool Calls ===\n";
+ for (const auto & tc : builder.result().tool_calls) {
+ std::cout << "id: " << tc.id << "\n";
+ std::cout << "name: " << tc.name << "\n";
+ std::cout << "args: " << tc.arguments << "\n";
+ }
+ }
+ };
+
+ std::string reasoning = "To plan an effective trip to Japan that includes both historical sites and modern attractions within a "
+ "budget of $4000 for a two-week stay, we need to:\n\n"
+ "1. Identify key historical sites and modern attractions in Japan.\n"
+ "2. Find affordable accommodation options that provide a balance between comfort and cost.\n"
+ "3. Determine the best modes of transportation for getting around Japan.\n"
+ "4. Create a day-by-day itinerary that ensures the user gets to see a variety of attractions without "
+ "overspending.\n"
+ "5. Provide a detailed cost breakdown that includes accommodation, transportation, meals, and entry fees "
+ "to attractions.";
+
+ std::vector<std::tuple<std::string, std::string, nlohmann::json>> tool_calls = {{
+ "call_0",
+ "plan_trip",
+ nlohmann::json::parse(R"({
+ "destination": "Japan",
+ "duration": 14,
+ "budget": 4000,
+ "interests": ["historical sites", "modern attractions"],
+ "accommodation_preferences": "affordable",
+ "transportation_preferences": "efficient",
+ "meal_preferences": "local cuisine"
+ })")
+ }};
+
+ std::vector<std::string> tokens;
+
+ // Build tokens
+ if (!reasoning.empty()) {
+ auto tokenized = simple_tokenize(reasoning);
+ tokens.emplace_back("<|START_THINKING|>");
+ tokens.insert(tokens.end(), tokenized.begin(), tokenized.end());
+ tokens.emplace_back("<|END_THINKING|>");
+ }
+
+ if (!tool_calls.empty()) {
+ tokens.emplace_back("<|START_ACTION|>");
+
+ auto json = nlohmann::json::array();
+ for (const auto & tc : tool_calls) {
+ auto tc_json = nlohmann::json::object();
+ tc_json["tool_call_id"] = std::get<0>(tc);
+ tc_json["tool_name"] = std::get<1>(tc);
+ tc_json["parameters"] = std::get<2>(tc);
+ json.push_back(tc_json);
+ }
+
+ auto tokenized = simple_tokenize(json.dump(-1, ' ', true));
+ tokens.insert(tokens.end(), tokenized.begin(), tokenized.end());
+
+ tokens.emplace_back("<|END_ACTION|>");
+ }
+
+ std::string input = std::accumulate(tokens.begin(), tokens.end(), std::string());
+
+ // Run tests
+ t.test("legacy_parse", [&](testing & /* t */) {
+ test_legacy(input, false, false);
+ });
+
+ t.test("current_parse", [&](testing & /* t */) {
+ test_current(parser, input, false, false);
+ });
+
+ // Run benchmarks
+ t.bench("legacy_parse_benchmark complete", [&]() {
+ test_legacy(input, false, false);
+ });
+
+ t.bench("legacy_parse_benchmark incremental", [&]() {
+ std::string in;
+ for (auto i = 0u; i < tokens.size(); i++) {
+ in += tokens[i];
+
+ try {
+ test_legacy(in, i + 1 < tokens.size(), false);
+ } catch (common_chat_msg_partial_exception & /* e */) {
+ // Do nothing, this is expected
+ }
+ }
+ }, 20);
+
+ t.bench("current_parse_benchmark complete", [&]() {
+ test_current(parser, input, false, false);
+ }, 100);
+
+ t.bench("current_parse_benchmark incremental", [&]() {
+ std::string in;
+ for (auto i = 0u; i < tokens.size(); i++) {
+ in += tokens[i];
+ test_current(parser, in, i + 1 < tokens.size(), false);
+ }
+ }, 20);
+}