llama.cpp/tests/test-chat-peg-parser.cpp

#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);
}