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https://github.com/ggml-org/llama.cpp.git
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server: (router) lazy-load startup_models after main setup (#27424)
* server: (router) lazy-load startup_models after main setup * only allow is_first_load to populate it * nits * nits 2
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@@ -1757,7 +1757,7 @@ The precedence rule for preset options is as follows:
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3. **Global options** defined in the preset file (`[*]`)
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We also offer additional options that are exclusive to presets (these aren't treated as command-line arguments):
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- `load-on-startup` (boolean): Controls whether the model loads automatically when the server starts
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- `load-on-startup` (boolean): Controls whether the model loads automatically when the server starts. Only applies at startup: if the model list is reloaded later (for example after editing the preset file), a newly added model is listed but not loaded
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- `stop-timeout` (int, seconds): After requested unload, wait for this many seconds before forcing termination (default: 10)
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- `dedup-cache-models` (boolean): When the preset uses `hf-repo` pointing to a model that is already downloaded, hide the corresponding cached model entry from `GET /models` (the preset entry remains visible). Set it in the `[*]` section to apply to all presets.
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@@ -672,24 +672,26 @@ void server_models::load_models() {
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apply_hidden();
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log_available_models();
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std::vector<std::string> models_to_load;
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for (const auto & [name, inst] : mapping) {
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std::string val;
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if (inst.meta.preset.get_option(COMMON_ARG_PRESET_LOAD_ON_STARTUP, val) && common_arg_utils::is_truthy(val)) {
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models_to_load.push_back(name);
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// skipped on reload, see startup_models
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if (startup_models.has_value()) {
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std::vector<std::string> models_to_load;
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for (const auto & [name, inst] : mapping) {
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std::string val;
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if (inst.meta.preset.get_option(COMMON_ARG_PRESET_LOAD_ON_STARTUP, val) && common_arg_utils::is_truthy(val)) {
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models_to_load.push_back(name);
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}
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}
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}
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if ((int)models_to_load.size() > base_params.models_max) {
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throw std::runtime_error(string_format(
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"number of models to load on startup (%zu) exceeds models_max (%d)",
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models_to_load.size(), base_params.models_max));
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if ((int)models_to_load.size() > base_params.models_max) {
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throw std::runtime_error(string_format(
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"number of models to load on startup (%zu) exceeds models_max (%d)",
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models_to_load.size(), base_params.models_max));
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}
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// to be lazy-loaded after main() setup phase is completed
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startup_models = std::move(models_to_load);
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}
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lk.unlock();
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for (const auto & name : models_to_load) {
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SRV_INF("(startup) loading model %s\n", name.c_str());
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load(name);
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}
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} else {
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// RELOAD: diff the new preset list against the current mapping and reconcile
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is_reloading = true;
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@@ -819,8 +821,8 @@ void server_models::load_models() {
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inst.meta.update_caps();
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}
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// add models that are new in this reload
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std::vector<std::string> newly_added;
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// add models that are new in this reload, load-on-startup is not honored here since a
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// reload never spawns an instance
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for (const auto & [name, preset] : final_presets) {
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if (mapping.find(name) == mapping.end()) {
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server_model_meta meta{
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@@ -841,42 +843,40 @@ void server_models::load_models() {
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// /* need_download */ false,
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};
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add_model(std::move(meta));
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newly_added.push_back(name);
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}
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}
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apply_stop_timeout();
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apply_hidden();
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// clear reload flag before unlocking for autoload - load() blocks on !is_reloading,
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// so clearing it here (while still locked) prevents a deadlock in the autoload calls below
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// clear reload flag under the lock, this releases the load() calls waiting on !is_reloading
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is_reloading = false;
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cv.notify_all();
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log_available_models();
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// collect autoload candidates while still under the lock
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std::vector<std::string> to_autoload;
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for (const auto & name : newly_added) {
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auto it = mapping.find(name);
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if (it != mapping.end()) {
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std::string val;
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if (it->second.meta.preset.get_option(COMMON_ARG_PRESET_LOAD_ON_STARTUP, val) && common_arg_utils::is_truthy(val)) {
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to_autoload.push_back(name);
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}
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}
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}
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lk.unlock();
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for (const auto & name : to_autoload) {
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SRV_INF("(reload) loading new model %s\n", name.c_str());
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load(name);
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}
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notify_sse("models_reload", "*");
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}
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}
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void server_models::load_startup_models() {
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std::vector<std::string> to_load;
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{
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std::lock_guard<std::mutex> lk(mutex);
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if (!startup_models.has_value()) {
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return; // already drained
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}
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to_load = std::move(*startup_models);
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startup_models.reset();
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}
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for (const auto & name : to_load) {
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SRV_INF("(startup) loading model %s\n", name.c_str());
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load(name);
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}
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}
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void server_models::update_meta(const std::string & name, const server_model_meta & meta) {
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std::lock_guard<std::mutex> lk(mutex);
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auto it = mapping.find(name);
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@@ -136,6 +136,10 @@ private:
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// if true, the next get_meta() will trigger a reload of model list
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bool need_reload = false;
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// models marked with load-on-startup, unset once load_startup_models() drains it
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// no value means the startup phase is over, so a reload must not queue anything
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std::optional<std::vector<std::string>> startup_models{std::in_place};
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// conv_id -> model name that currently serves its stream session, lets the resumable stream
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// routes go straight to the owning child instead of polling every one. populated when
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// proxy_request forwards a POST carrying an X-Conversation-Id. best effort: a stale entry just
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@@ -231,6 +235,9 @@ public:
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// - if a model is not running, it will be added or updated according to the source
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void load_models();
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// lazy-load startup_models, to be called after main() setup phase
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void load_startup_models();
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// check if a model instance exists (thread-safe)
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bool has_model(const std::string & name);
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@@ -424,6 +424,18 @@ int llama_server(common_params & params, int argc, char ** argv) {
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ctx_http.stop();
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};
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try {
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models_routes->models.load_startup_models();
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} catch (const std::exception & e) {
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SRV_ERR("failed to load models on startup: %s\n", e.what());
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ctx_http.stop();
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if (ctx_http.thread.joinable()) {
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ctx_http.thread.join();
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}
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clean_up();
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return 1;
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}
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} else {
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// setup clean up function, to be called before exit
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clean_up = [&ctx_http, &ctx_server, &mcp_mgr]() {
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