mirror of
https://github.com/ggerganov/llama.cpp.git
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bfcce4d693
* `tool-call`: support Command R7B (w/ tool_plan return) * `tool-call`: cleaner preservation of tokens + warn when likely bad chat template override * `tool-call`: test cleanup / handle lazy grammar triggers
610 lines
25 KiB
C++
610 lines
25 KiB
C++
// Tests chat handling, including grammar generation and parsing for tool calling, for various templates.
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//
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// Also acts as a CLI to generate a Markdown summary of the formats of Jinja templates,
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// e.g. given Minja (http://github.com/google/minja) checked out in parent dir:
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//
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// cmake -B build && cmake --build build --parallel && ./build/bin/test-chat ../minja/build/tests/*.jinja 2>/dev/null
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//
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#include <fstream>
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#include <iostream>
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#include <json.hpp>
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#include <string>
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#include "chat-template.hpp"
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#include "chat.hpp"
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#include "llama-grammar.h"
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#include "unicode.h"
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using json = nlohmann::ordered_json;
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static common_chat_msg msg_from_json(const json & message) {
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common_chat_msg ret{
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"assistant",
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"",
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{},
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/* .tool_plan = */ "",
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};
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if (message.contains("content") && !message.at("content").is_null()) {
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ret.content = message.at("content");
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}
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if (message.contains("tool_plan")) {
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ret.tool_plan = message.at("tool_plan");
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}
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auto has_tool_calls = message.contains("tool_calls");
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if (has_tool_calls) {
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for (const auto & tc : message.at("tool_calls")) {
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const auto & arguments = tc.at("function").at("arguments");
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ret.tool_calls.push_back({
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tc.at("function").at("name").get<std::string>(),
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arguments.is_string() ? arguments.get<std::string>() : arguments.dump(),
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tc.contains("id") ? tc.at("id").get<std::string>() : "",
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});
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}
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}
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return ret;
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}
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template <class T> static void assert_equals(const T & expected, const T & actual) {
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if (expected != actual) {
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std::cerr << "Expected: " << expected << std::endl;
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std::cerr << "Actual: " << actual << std::endl;
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std::cerr << std::flush;
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throw std::runtime_error("Test failed");
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}
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}
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static std::string read_file(const std::string & path) {
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std::cerr << "# Reading: " << path << std::endl << std::flush;
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std::ifstream fs(path, std::ios_base::binary);
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if (!fs.is_open()) {
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fs = std::ifstream("../" + path, std::ios_base::binary);
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if (!fs.is_open()) {
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throw std::runtime_error("Failed to open file: " + path);
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}
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}
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fs.seekg(0, std::ios_base::end);
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auto size = fs.tellg();
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fs.seekg(0);
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std::string out;
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out.resize(static_cast<size_t>(size));
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fs.read(&out[0], static_cast<std::streamsize>(size));
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return out;
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}
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static std::unique_ptr<llama_grammar> build_grammar(const std::string & grammar_str) {
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return std::unique_ptr<llama_grammar>(
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llama_grammar_init_impl(nullptr, grammar_str.c_str(), "root", false, nullptr, 0, nullptr, 0));
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}
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// TODO: extract to common helper (copied from test-grammar-integration.cpp)
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static bool match_string(const std::string & input, llama_grammar * grammar) {
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const auto cpts = unicode_cpts_from_utf8(input);
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auto & stacks_cur = llama_grammar_get_stacks(grammar);
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for (const auto & cpt : cpts) {
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llama_grammar_accept(grammar, cpt);
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if (stacks_cur.empty()) {
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// no stacks means that the grammar failed to match at this point
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return false;
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}
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}
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for (const auto & stack : stacks_cur) {
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if (stack.empty()) {
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// An empty stack means that the grammar has been completed
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return true;
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}
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}
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return false;
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}
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// Dumps `{"a": 1}` as `"{\"a\": 1}"`, unlike nlohmann::json::dump which would dump it as `"{\"a\":1}"`.
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static std::string dump(const json & j) {
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return minja::Value(j).dump(-1, /* to_json= */ true);
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}
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static void assert_msg_equals(const common_chat_msg & expected, const common_chat_msg & actual) {
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assert_equals(expected.role, actual.role);
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assert_equals(expected.content, actual.content);
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assert_equals(expected.tool_calls.size(), actual.tool_calls.size());
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for (size_t i = 0; i < expected.tool_calls.size(); i++) {
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const auto & expected_tool_call = expected.tool_calls[i];
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const auto & actual_tool_call = actual.tool_calls[i];
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assert_equals(expected_tool_call.name, actual_tool_call.name);
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assert_equals(dump(json::parse(expected_tool_call.arguments)), dump(json::parse(actual_tool_call.arguments)));
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assert_equals(expected_tool_call.id, actual_tool_call.id);
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}
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}
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const auto special_function_tool = json::parse(R"({
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"type": "function",
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"function": {
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"name": "special_function",
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"description": "I'm special",
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"parameters": {
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"type": "object",
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"properties": {
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"arg1": {
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"type": "integer",
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"description": "The arg."
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}
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},
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"required": ["arg1"]
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}
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}
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})");
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const auto python_tool = json::parse(R"({
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"type": "function",
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"function": {
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"name": "python",
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"description": "an ipython interpreter",
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"parameters": {
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"type": "object",
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"properties": {
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"code": {
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"type": "string",
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"description": "Python code to execute."
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}
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},
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"required": ["code"]
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}
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}
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})");
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const auto code_interpreter_tool = json::parse(R"({
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"type": "function",
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"function": {
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"name": "code_interpreter",
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"description": "an ipython interpreter",
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"parameters": {
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"type": "object",
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"properties": {
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"code": {
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"type": "string",
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"description": "Python code to execute."
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}
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},
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"required": ["code"]
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}
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}
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})");
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const json tools = { special_function_tool, python_tool };
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const json llama_3_1_tools = { special_function_tool, code_interpreter_tool };
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struct delta_data {
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std::string delta;
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common_chat_params params;
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};
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static delta_data init_delta(const common_chat_template & tmpl, const std::vector<std::string> & end_tokens,
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const json & user_message, const json & delta_message, const json & tools,
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const json & tool_choice) {
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common_chat_inputs inputs;
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inputs.parallel_tool_calls = true;
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inputs.messages = json::array();
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inputs.messages.push_back(user_message);
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inputs.tools = tools;
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inputs.tool_choice = tool_choice;
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auto params_prefix = common_chat_params_init(tmpl, inputs);
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inputs.messages.push_back(delta_message);
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inputs.add_generation_prompt = false;
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auto params_full = common_chat_params_init(tmpl, inputs);
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std::string prefix = params_prefix.prompt;
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std::string full = params_full.prompt;
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// Check full starts with prefix
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if (full.find(prefix) != 0) {
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fprintf(stderr, "Full:\n%s\n\nPrefix:\n%s\n\n", full.c_str(), prefix.c_str());
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throw std::runtime_error("Full message does not start with prefix");
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}
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if (full == prefix) {
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throw std::runtime_error("Full message is the same as the prefix");
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}
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auto delta = full.substr(prefix.size());
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// Strip end tokens
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for (const auto & end_token : end_tokens) {
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// rfind to find the last occurrence
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auto pos = delta.rfind(end_token);
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if (pos != std::string::npos) {
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delta = delta.substr(0, pos);
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break;
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}
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}
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return { delta, params_full };
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}
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/*
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Applies the template to 1 user message w/ add_generation_prompt=true, then w/ the test message w/ add_generation_prompt=false,
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gets the diff, removes any end tokens and parses the result w/ the grammar, checking that
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the parsed message is the same as the test_message
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*/
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static void test_template(const common_chat_template & tmpl, const std::vector<std::string> & end_tokens,
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const json & test_message, const json & tools = {}, const std::string & expected_delta = "",
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bool expect_grammar_triggered = true) {
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common_chat_msg expected_msg = msg_from_json(test_message);
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auto user_message = json{
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{ "role", "user" },
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{ "content", "Hello, world!" }
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};
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for (const auto & tool_choice : json({ "auto", "required" })) {
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auto data = init_delta(tmpl, end_tokens, user_message, test_message, tools, tool_choice);
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if (!expected_delta.empty()) {
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assert_equals(expected_delta, data.delta);
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}
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if (expect_grammar_triggered) {
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const auto msg = common_chat_parse(data.delta, data.params.format);
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assert_msg_equals(expected_msg, msg);
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}
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if (!expected_msg.tool_calls.empty()) {
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GGML_ASSERT(!data.params.grammar.empty());
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}
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if (!data.params.grammar.empty()) {
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auto grammar = build_grammar(data.params.grammar);
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if (!grammar) {
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throw std::runtime_error("Failed to build grammar");
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}
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auto earliest_trigger_pos = std::string::npos;
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auto constrained = data.delta;
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for (const auto & trigger : data.params.grammar_triggers) {
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auto pos = constrained.find(trigger.word);
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if (pos == std::string::npos) {
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continue;
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}
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if (pos > 0 && trigger.at_start) {
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fprintf(stderr, "Trigger %s not at start of message, skipping:\n\n%s\n\n", trigger.word.c_str(), constrained.c_str());
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continue;
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}
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if (earliest_trigger_pos == std::string::npos || pos < earliest_trigger_pos) {
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earliest_trigger_pos = pos;
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}
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}
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auto grammar_triggered = false;
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if (earliest_trigger_pos != std::string::npos) {
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constrained = constrained.substr(earliest_trigger_pos);
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grammar_triggered = true;
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}
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if (data.params.grammar_lazy) {
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assert_equals(expect_grammar_triggered, grammar_triggered);
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}
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if (grammar_triggered && !match_string(constrained, grammar.get())) {
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throw std::runtime_error("Failed to match delta against grammar:\n\n" + data.delta +
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"\n\nGrammar: " + data.params.grammar);
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}
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}
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}
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}
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static void test_template_output_parsers() {
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json text_message {
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{ "role", "assistant" },
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{ "content", "Hello, world!" },
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};
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json tool_calls = json::array({{
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{ "type", "function" },
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{ "function", { { "name", "special_function" }, { "arguments", "{\"arg1\": 1}" } } },
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}});
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json tool_call_message {
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{ "role", "assistant"},
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{ "content", {}},
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{ "tool_calls", {
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{
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{ "type", "function" },
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{ "function", {
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{ "name", "special_function" },
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{ "arguments", "{\"arg1\": 1}" },
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}},
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},
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}},
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};
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json tool_call_message_with_id {
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{ "role", "assistant"},
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{ "content", {}},
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{ "tool_calls", {
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{
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{ "type", "function" },
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{ "function", {
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{ "name", "special_function" },
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{ "arguments", "{\"arg1\": 1}" },
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}},
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{"id", "123456789"},
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},
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}},
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{ "role", "assistant" },
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{ "content", {} },
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{ "tool_calls", tool_calls }
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};
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json tool_call_plan_message_with_idx {
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{ "role", "assistant"},
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{ "content", {}},
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{ "tool_plan", "I'm not so sure"},
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{ "tool_calls", {
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{
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{ "type", "function" },
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{ "function", {
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{ "name", "special_function" },
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{ "arguments", "{\"arg1\": 1}" },
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}},
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// Index of the tool call in the tool_calls array
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{"id", "0"},
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},
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}},
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{ "role", "assistant" },
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{ "content", {} },
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{ "tool_calls", tool_calls }
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};
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auto python_tool_call_message = json{
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{ "role", "assistant" },
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{ "content", {} },
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{ "tool_calls", json{ {
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{ "type", "function" },
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{ "function",
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{
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{ "name", "python" },
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{ "arguments",
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{
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{ "code", "print('hey')" },
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} },
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} },
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} } }
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};
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auto code_interpreter_tool_call_message = json{
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{ "role", "assistant" },
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{ "content", {} },
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{ "tool_calls", json{ {
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{ "type", "function" },
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{ "function",
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{
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{ "name", "code_interpreter" },
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{ "arguments",
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{
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{ "code", "print('hey')" },
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} },
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} },
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} } }
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};
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common_chat_inputs inputs_no_tools;
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inputs_no_tools.messages = {
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{ { "role", "user" }, { "content", "Hey" } }
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};
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common_chat_inputs inputs_tools = inputs_no_tools;
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inputs_tools.tools = json::array();
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inputs_tools.tools.push_back(special_function_tool);
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common_chat_inputs inputs_tools_builtin = inputs_no_tools;
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inputs_tools_builtin.tools = json::array();
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inputs_tools_builtin.tools.push_back(python_tool);
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{
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// Not supported yet
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const common_chat_template tmpl(read_file("models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja"), "<s>", "</s>");
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assert_equals(COMMON_CHAT_FORMAT_GENERIC, common_chat_params_init(tmpl, inputs_tools).format);
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}
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{
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const common_chat_template tmpl(read_file("models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja"), "<s>", "</s>");
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std::vector<std::string> end_tokens{ "<|END_OF_TURN_TOKEN|>" };
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assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_params_init(tmpl, inputs_no_tools).format);
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assert_equals(COMMON_CHAT_FORMAT_COMMAND_R7B, common_chat_params_init(tmpl, inputs_tools).format);
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test_template(tmpl, end_tokens, tool_call_plan_message_with_idx, tools,
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"<|START_THINKING|>I'm not so sure<|END_THINKING|>"
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"<|START_ACTION|>[\n"
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" {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n"
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"]<|END_ACTION|>");
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test_template(tmpl, end_tokens, text_message, tools,
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"<|START_RESPONSE|>Hello, world!<|END_RESPONSE|>",
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/* expect_grammar_triggered= */ false);
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}
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{
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const common_chat_template tmpl(read_file("models/templates/google-gemma-2-2b-it.jinja"), "<s>", "</s>");
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std::vector<std::string> end_tokens{ "<end_of_turn>" };
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assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_params_init(tmpl, inputs_no_tools).format);
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assert_equals(COMMON_CHAT_FORMAT_GENERIC, common_chat_params_init(tmpl, inputs_tools).format);
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assert_equals(COMMON_CHAT_FORMAT_GENERIC,
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common_chat_params_init(
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common_chat_template(read_file("models/templates/microsoft-Phi-3.5-mini-instruct.jinja"),
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"<s>", "</s>"),
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inputs_tools)
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.format);
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// Generic tool calls doesn't generate / parse content-only messages symmetrically.
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assert_msg_equals(msg_from_json(text_message),
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common_chat_parse("{\n"
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" \"response\": \"Hello, world!\"\n"
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"}",
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common_chat_params_init(tmpl, inputs_tools).format));
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test_template(tmpl, end_tokens, tool_call_message_with_id, tools,
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"{\n"
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" \"tool_calls\": [\n"
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" {\n"
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" \"name\": \"special_function\",\n"
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" \"arguments\": {\n"
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" \"arg1\": 1\n"
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" },\n"
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" \"id\": \"123456789\"\n"
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" }\n"
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" ]\n"
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"}");
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}
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{
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const common_chat_template tmpl(read_file("models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja"), "<s>",
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"</s>");
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std::vector<std::string> end_tokens{ "</s>" };
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assert_equals(COMMON_CHAT_FORMAT_MISTRAL_NEMO, common_chat_params_init(tmpl, inputs_tools).format);
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test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false);
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test_template(
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tmpl, end_tokens, tool_call_message_with_id, tools,
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"[TOOL_CALLS][{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, \"id\": \"123456789\"}]");
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}
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{
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const common_chat_template tmpl(
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read_file("models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja"), "<s>", "</s>");
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std::vector<std::string> end_tokens{ "<|im_end|>" };
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assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, common_chat_params_init(tmpl, inputs_tools).format);
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assert_equals(
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COMMON_CHAT_FORMAT_HERMES_2_PRO,
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common_chat_params_init(
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common_chat_template(read_file("models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja"),
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"<s>", "</s>"),
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inputs_tools)
|
||
.format);
|
||
assert_equals(
|
||
COMMON_CHAT_FORMAT_HERMES_2_PRO,
|
||
common_chat_params_init(
|
||
common_chat_template(read_file("models/templates/Qwen-Qwen2.5-7B-Instruct.jinja"), "<s>", "</s>"),
|
||
inputs_tools)
|
||
.format);
|
||
|
||
test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false);
|
||
test_template(tmpl, end_tokens, tool_call_message, tools,
|
||
"<tool_call>\n"
|
||
"{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
|
||
"</tool_call>");
|
||
test_template(tmpl, end_tokens, python_tool_call_message, tools,
|
||
"<tool_call>\n"
|
||
"{\"name\": \"python\", \"arguments\": {\"code\": \"print('hey')\"}}\n"
|
||
"</tool_call>");
|
||
}
|
||
{
|
||
const common_chat_template tmpl(read_file("models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja"), "<s>",
|
||
"</s>");
|
||
std::vector<std::string> end_tokens{ "<|eom_id|>", "<|eot_id|>" };
|
||
|
||
assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X, common_chat_params_init(tmpl, inputs_tools).format);
|
||
assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS,
|
||
common_chat_params_init(tmpl, inputs_tools_builtin).format);
|
||
assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS,
|
||
common_chat_params_init(
|
||
common_chat_template(read_file("models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja"),
|
||
"<s>", "</s>"),
|
||
inputs_tools_builtin)
|
||
.format);
|
||
|
||
// test_template(tmpl, end_tokens, text_message, tools, R"(?)", /* expect_grammar_triggered= */ false);
|
||
test_template(tmpl, end_tokens, code_interpreter_tool_call_message, llama_3_1_tools,
|
||
"<|python_tag|>code_interpreter.call(code=\"print('hey')\")");
|
||
test_template(tmpl, end_tokens, python_tool_call_message, tools,
|
||
"<|python_tag|>python.call(code=\"print('hey')\")");
|
||
test_template(tmpl, end_tokens, tool_call_message, tools,
|
||
"{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}");
|
||
}
|
||
{
|
||
const common_chat_template tmpl(read_file("models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja"), "<s>",
|
||
"</s>");
|
||
std::vector<std::string> end_tokens{ "<|eom_id|>", "<|eot_id|>" };
|
||
|
||
assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X, common_chat_params_init(tmpl, inputs_tools).format);
|
||
|
||
test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false);
|
||
test_template(tmpl, end_tokens, tool_call_message, tools,
|
||
"{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}");
|
||
}
|
||
{
|
||
const common_chat_template tmpl(read_file("models/templates/meetkai-functionary-medium-v3.1.jinja"), "<s>",
|
||
"</s>");
|
||
std::vector<std::string> end_tokens{ "<|eom_id|>", "<|eot_id|>" };
|
||
|
||
assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1,
|
||
common_chat_params_init(tmpl, inputs_tools).format);
|
||
|
||
test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false);
|
||
test_template(tmpl, end_tokens, tool_call_message, tools,
|
||
"<function=special_function>{\"arg1\": 1}</function>");
|
||
}
|
||
{
|
||
const common_chat_template tmpl(read_file("models/templates/meetkai-functionary-medium-v3.2.jinja"), "<s>",
|
||
"</s>");
|
||
std::vector<std::string> end_tokens{ "<|eom_id|>", "<|eot_id|>" };
|
||
|
||
assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2, common_chat_params_init(tmpl, inputs_no_tools).format);
|
||
assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2, common_chat_params_init(tmpl, inputs_tools).format);
|
||
|
||
test_template(tmpl, end_tokens, text_message, {},
|
||
"all\n"
|
||
"Hello, world!",
|
||
/* expect_grammar_triggered= */ false);
|
||
test_template(tmpl, end_tokens, tool_call_message, tools,
|
||
"special_function\n"
|
||
"{\"arg1\": 1}");
|
||
}
|
||
{
|
||
const common_chat_template tmpl(read_file("models/templates/fireworks-ai-llama-3-firefunction-v2.jinja"), "<s>",
|
||
"</s>");
|
||
std::vector<std::string> end_tokens{ "<|eot_id|>" };
|
||
|
||
assert_equals(COMMON_CHAT_FORMAT_FIREFUNCTION_V2, common_chat_params_init(tmpl, inputs_tools).format);
|
||
|
||
test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false);
|
||
test_template(tmpl, end_tokens, tool_call_message, tools,
|
||
" functools[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]");
|
||
}
|
||
{
|
||
const common_chat_template tmpl(read_file("models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja"),
|
||
"<s>", "</s>");
|
||
std::vector<std::string> end_tokens{ "<｜end▁of▁sentence｜>" };
|
||
|
||
assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_R1, common_chat_params_init(tmpl, inputs_tools).format);
|
||
|
||
test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false);
|
||
test_template(tmpl, end_tokens, tool_call_message, tools,
|
||
"<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n"
|
||
"```json\n"
|
||
"{\"arg1\": 1}\n"
|
||
"```<｜tool▁call▁end｜>");
|
||
}
|
||
}
|
||
|
||
int main(int argc, char ** argv) {
|
||
#ifndef _WIN32
|
||
if (argc > 1) {
|
||
common_chat_inputs inputs;
|
||
inputs.messages = {
|
||
{ { "role", "user" }, { "content", "Hey" } }
|
||
};
|
||
inputs.tools = json::array({ special_function_tool });
|
||
|
||
std::cout << "| Template | Format |\n";
|
||
std::cout << "|----------|--------|\n";
|
||
|
||
for (int i = 1; i < argc; i++) {
|
||
std::string path = argv[i];
|
||
if (path.rfind(".jinja") != path.size() - 6) {
|
||
std::cerr << "Skipping non-jinja file: " << path << std::endl;
|
||
continue;
|
||
}
|
||
common_chat_template tmpl(read_file(path), "", "");
|
||
auto parts = string_split(path, "/");
|
||
auto name = parts[parts.size() - 1];
|
||
std::cout << "| " << name << " | " << common_chat_format_name(common_chat_params_init(tmpl, inputs).format)
|
||
<< " |\n";
|
||
}
|
||
} else
|
||
#endif
|
||
{
|
||
test_template_output_parsers();
|
||
std::cout << "\n[chat] All tests passed!" << std::endl;
|
||
}
|
||
return 0;
|
||
}
|