tool-call: fix Qwen 2.5 Coder support, add micro benchmarks, support trigger patterns for lazy grammars (#12034)

* sampler: turn lazy grammar trigger words to regexes

* add scripts/tool_bench.sh & .py

* constrain llama json output regardless of function name if matches at beginning

* update relaxed newline space rule in grammar tests

* support add_generation_prompt query parameter (useful for /apply_template)

* Update src/llama-grammar.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit is contained in:
Olivier Chafik
2025-03-05 13:05:13 +00:00
committed by GitHub
parent fa31c438e0
commit 669912d9a5
26 changed files with 1314 additions and 408 deletions

View File

@ -1449,7 +1449,9 @@ static struct llama_sampler * llama_sampler_init_grammar_impl(
const char ** trigger_words,
size_t num_trigger_words,
const llama_token * trigger_tokens,
size_t num_trigger_tokens);
size_t num_trigger_tokens,
const char ** trigger_patterns,
size_t num_trigger_patterns);
static void llama_sampler_grammar_reset(struct llama_sampler * smpl) {
auto * ctx = (llama_sampler_grammar *) smpl->ctx;
@ -1457,12 +1459,14 @@ static void llama_sampler_grammar_reset(struct llama_sampler * smpl) {
return;
}
std::vector<const char *> trigger_words;
for (auto & word : ctx->grammar->trigger_words) {
trigger_words.push_back(word.c_str());
std::vector<const char *> trigger_patterns_c;
trigger_patterns_c.reserve(ctx->grammar->trigger_patterns.size());
for (auto & trigger_pattern : ctx->grammar->trigger_patterns) {
trigger_patterns_c.push_back(trigger_pattern.pattern.c_str());
}
auto * grammar_new = llama_grammar_init_impl(ctx->grammar->vocab, ctx->grammar_str.c_str(), ctx->grammar_root.c_str(),
ctx->grammar->lazy, trigger_words.data(), trigger_words.size(),
ctx->grammar->lazy, trigger_patterns_c.data(), trigger_patterns_c.size(),
ctx->grammar->trigger_tokens.data(), ctx->grammar->trigger_tokens.size());
llama_grammar_free_impl(ctx->grammar);
@ -1472,7 +1476,7 @@ static void llama_sampler_grammar_reset(struct llama_sampler * smpl) {
static struct llama_sampler * llama_sampler_grammar_clone(const struct llama_sampler * smpl) {
const auto * ctx = (const llama_sampler_grammar *) smpl->ctx;
auto * result = llama_sampler_init_grammar_impl(ctx->vocab, nullptr, nullptr, false, nullptr, 0, nullptr, 0);
auto * result = llama_sampler_init_grammar_impl(ctx->vocab, nullptr, nullptr, false, nullptr, 0, nullptr, 0, nullptr, 0);
// copy the state
{
@ -1516,15 +1520,33 @@ static struct llama_sampler * llama_sampler_init_grammar_impl(
const char ** trigger_words,
size_t num_trigger_words,
const llama_token * trigger_tokens,
size_t num_trigger_tokens) {
size_t num_trigger_tokens,
const char ** trigger_patterns,
size_t num_trigger_patterns) {
auto * ctx = new llama_sampler_grammar;
if (grammar_str != nullptr && grammar_str[0] != '\0') {
// TODO: remove trigger_words support.
if (trigger_words != nullptr && num_trigger_words > 0) {
GGML_ASSERT(trigger_patterns == nullptr && num_trigger_patterns == 0);
std::string trigger_pattern("[\\s\\S]*?(");
for (size_t i = 0; i < num_trigger_words; ++i) {
static const std::regex special_chars("[.^$|()*+?\\[\\]{}\\\\]");
if (i > 0) {
trigger_pattern += "|";
}
trigger_pattern += std::regex_replace(trigger_words[i], special_chars, "\\$0");
}
trigger_pattern += ")[\\s\\S]*";
auto trigger_pattern_c = trigger_pattern.c_str();
trigger_patterns = &trigger_pattern_c;
num_trigger_patterns = 1;
}
*ctx = {
/* .vocab = */ vocab,
/* .grammar_str = */ grammar_str,
/* .grammar_root = */ grammar_root,
/* .grammar = */ llama_grammar_init_impl(vocab, grammar_str, grammar_root, lazy, trigger_words, num_trigger_words, trigger_tokens, num_trigger_tokens),
/* .grammar = */ llama_grammar_init_impl(vocab, grammar_str, grammar_root, lazy, trigger_patterns, num_trigger_patterns, trigger_tokens, num_trigger_tokens),
};
} else {
*ctx = {
@ -1545,7 +1567,7 @@ struct llama_sampler * llama_sampler_init_grammar(
const struct llama_vocab * vocab,
const char * grammar_str,
const char * grammar_root) {
return llama_sampler_init_grammar_impl(vocab, grammar_str, grammar_root, /* lazy= */ false, nullptr, 0, nullptr, 0);
return llama_sampler_init_grammar_impl(vocab, grammar_str, grammar_root, /* lazy= */ false, nullptr, 0, nullptr, 0, nullptr, 0);
}
struct llama_sampler * llama_sampler_init_grammar_lazy(
@ -1556,7 +1578,18 @@ struct llama_sampler * llama_sampler_init_grammar_lazy(
size_t num_trigger_words,
const llama_token * trigger_tokens,
size_t num_trigger_tokens) {
return llama_sampler_init_grammar_impl(vocab, grammar_str, grammar_root, /* lazy= */ true, trigger_words, num_trigger_words, trigger_tokens, num_trigger_tokens);
return llama_sampler_init_grammar_impl(vocab, grammar_str, grammar_root, /* lazy= */ true, trigger_words, num_trigger_words, trigger_tokens, num_trigger_tokens, nullptr, 0);
}
struct llama_sampler * llama_sampler_init_grammar_lazy_patterns(
const struct llama_vocab * vocab,
const char * grammar_str,
const char * grammar_root,
const char ** trigger_patterns,
size_t num_trigger_patterns,
const llama_token * trigger_tokens,
size_t num_trigger_tokens) {
return llama_sampler_init_grammar_impl(vocab, grammar_str, grammar_root, /* lazy= */ true, nullptr, 0, trigger_tokens, num_trigger_tokens, trigger_patterns, num_trigger_patterns);
}
// penalties