Buckets:
| static std::function<void(int)> shutdown_handler; | |
| static std::atomic_flag is_terminating = ATOMIC_FLAG_INIT; | |
| static inline void signal_handler(int signal) { | |
| if (is_terminating.test_and_set()) { | |
| // in case it hangs, we can force terminate the server by hitting Ctrl+C twice | |
| // this is for better developer experience, we can remove when the server is stable enough | |
| fprintf(stderr, "Received second interrupt, terminating immediately.\n"); | |
| exit(1); | |
| } | |
| shutdown_handler(signal); | |
| } | |
| // how the server is run; everything is on when it is the llama-server binary | |
| struct server_run_opts { | |
| bool install_signal_handlers = true; // off when embedded in llama-cli, which handles them itself | |
| bool resolve_model = true; // download / resolve -hf and docker models; off when the caller did it already | |
| }; | |
| // satisfies -Wmissing-declarations (used by llama command) | |
| int llama_server(int argc, char ** argv); | |
| // to be used via CLI (argc / argv are used by router mode only) | |
| int llama_server(common_params & params, int argc, char ** argv); | |
| void llama_server_terminate(); | |
| void llama_server_terminate() { | |
| if (shutdown_handler) { | |
| shutdown_handler(0); | |
| } | |
| } | |
| // wrapper function that handles exceptions and logs errors | |
| // this is to make sure handler_t never throws exceptions; instead, it returns an error response | |
| static server_http_context::handler_t ex_wrapper(server_http_context::handler_t func) { | |
| return [func = std::move(func)](const server_http_req & req) -> server_http_res_ptr { | |
| std::string message; | |
| error_type error; | |
| try { | |
| return func(req); | |
| } catch (const std::invalid_argument & e) { | |
| // treat invalid_argument as invalid request (400) | |
| error = ERROR_TYPE_INVALID_REQUEST; | |
| message = e.what(); | |
| } catch (const common_json_error & e) { | |
| // JSON parse and type errors are invalid requests (400) | |
| error = ERROR_TYPE_INVALID_REQUEST; | |
| message = e.what(); | |
| } catch (const std::exception & e) { | |
| // treat other exceptions as server error (500) | |
| error = ERROR_TYPE_SERVER; | |
| message = e.what(); | |
| } catch (...) { | |
| error = ERROR_TYPE_SERVER; | |
| message = "unknown error"; | |
| } | |
| auto res = std::make_unique<server_http_res>(); | |
| res->status = 500; | |
| try { | |
| json error_data = format_error_response(message, error); | |
| res->status = json_value(error_data, "code", 500); | |
| res->data = safe_json_to_str({{ "error", error_data }}); | |
| SRV_WRN("got exception: %s\n", res->data.c_str()); | |
| } catch (const std::exception & e) { | |
| SRV_ERR("got another exception: %s | while handling exception: %s\n", e.what(), message.c_str()); | |
| res->data = "Internal Server Error"; | |
| } | |
| return res; | |
| }; | |
| } | |
| // | |
| // shared by every role | |
| // | |
| static server_role_type server_role_detect(const common_params & params, server_role & role) { | |
| if (role.is_managed_by_router()) { | |
| return role.get_role(); | |
| } | |
| // a server given no model is a router | |
| const bool has_model = !params.model.path.empty() | |
| || !params.model.hf_repo.empty() | |
| || !params.model.docker_repo.empty(); | |
| return has_model ? SERVER_ROLE_INSTANCE : SERVER_ROLE_ROUTER; | |
| } | |
| // adjust the params for the role; returns false on a configuration error | |
| static bool server_prepare_params(common_params & params, server_role_type role_type) { | |
| if (role_type != SERVER_ROLE_ROUTER) { | |
| // validate batch size for embeddings | |
| // embeddings require all tokens to be processed in a single ubatch | |
| // see https://github.com/ggml-org/llama.cpp/issues/12836 | |
| if (params.embedding && params.n_batch > params.n_ubatch) { | |
| SRV_WRN("embeddings enabled with n_batch (%d) > n_ubatch (%d)\n", params.n_batch, params.n_ubatch); | |
| SRV_WRN("setting n_batch = n_ubatch = %d to avoid assertion failure\n", params.n_ubatch); | |
| params.n_batch = params.n_ubatch; | |
| } | |
| if (params.n_parallel < 0) { | |
| SRV_TRC("%s", "n_parallel is set to auto, using n_parallel = 4 and kv_unified = true\n"); | |
| params.n_parallel = 4; | |
| params.kv_unified = true; | |
| } | |
| } | |
| // size the KV pool from --kv-unified-per-slot, unless the user pinned it with -c | |
| // or with -c 0 for max context | |
| const bool ctx_pool_auto_sized = params.kv_unified_per_slot > 0 && | |
| params.n_ctx == 0 && | |
| (uint32_t) params.fit_params_min_ctx != UINT32_MAX; | |
| if (ctx_pool_auto_sized) { | |
| params.n_ctx = params.n_parallel * params.kv_unified_per_slot; | |
| SRV_INF("--kv-unified-per-slot: sizing KV pool to n_parallel * kv_unified_per_slot = %d * %d = %d\n", params.n_parallel, | |
| params.kv_unified_per_slot, params.n_ctx); | |
| } | |
| // for consistency between server router mode and single-model mode, we set the same model name as alias | |
| auto model_name = params.model.get_name(); | |
| if (params.model_alias.empty() && !model_name.empty()) { | |
| params.model_alias.insert(model_name); | |
| } | |
| // check early, so a missing llama-connect fails-fast | |
| if (params.server_connect) { | |
| const std::string reason = server_connect::unavailable_reason(params); | |
| if (!reason.empty()) { | |
| SRV_ERR("--connect is not available: %s\n", reason.c_str()); | |
| return false; | |
| } | |
| params.server_connect_code = server_connect::resolve_code(params.server_connect_code); | |
| } else if (!params.server_connect_code.empty()) { | |
| // the code is only meaningful while the tunnel runs, and /props keys off it being set | |
| SRV_WRN("%s", "--connect-code is ignored without --connect\n"); | |
| params.server_connect_code.clear(); | |
| } | |
| return true; | |
| } | |
| // the API of every server; a router points the handlers in routes at its proxies before calling this | |
| static void server_register_routes(server_http_context & ctx_http, server_routes & routes) { | |
| ctx_http.get ("/health", ex_wrapper(routes.get_health)); // public endpoint (no API key check) | |
| ctx_http.get ("/v1/health", ex_wrapper(routes.get_health)); // public endpoint (no API key check) | |
| ctx_http.get ("/metrics", ex_wrapper(routes.get_metrics)); | |
| ctx_http.get ("/props", ex_wrapper(routes.get_props)); | |
| ctx_http.post("/props", ex_wrapper(routes.post_props)); | |
| ctx_http.get ("/models", ex_wrapper(routes.get_models)); | |
| ctx_http.get ("/v1/models", ex_wrapper(routes.get_models)); | |
| ctx_http.post("/completion", ex_wrapper(routes.post_completions)); // legacy | |
| ctx_http.post("/completions", ex_wrapper(routes.post_completions)); | |
| ctx_http.post("/v1/completions", ex_wrapper(routes.post_completions_oai)); | |
| ctx_http.post("/chat/completions", ex_wrapper(routes.post_chat_completions)); | |
| ctx_http.post("/v1/chat/completions", ex_wrapper(routes.post_chat_completions)); | |
| ctx_http.post("/v1/chat/completions/control", ex_wrapper(routes.post_control)); | |
| ctx_http.post("/v1/responses", ex_wrapper(routes.post_responses_oai)); | |
| ctx_http.post("/responses", ex_wrapper(routes.post_responses_oai)); | |
| ctx_http.post("/v1/audio/transcriptions", ex_wrapper(routes.post_transcriptions_oai)); | |
| ctx_http.post("/audio/transcriptions", ex_wrapper(routes.post_transcriptions_oai)); | |
| ctx_http.post("/tts", ex_wrapper(routes.post_tts)); | |
| ctx_http.ws ("/v1/realtime", routes.ws_realtime); | |
| ctx_http.post("/v1/messages", ex_wrapper(routes.post_anthropic_messages)); // anthropic messages API | |
| ctx_http.post("/infill", ex_wrapper(routes.post_infill)); | |
| ctx_http.post("/embedding", ex_wrapper(routes.post_embeddings)); // legacy | |
| ctx_http.post("/embeddings", ex_wrapper(routes.post_embeddings)); | |
| ctx_http.post("/v1/embeddings", ex_wrapper(routes.post_embeddings_oai)); | |
| ctx_http.post("/rerank", ex_wrapper(routes.post_rerank)); | |
| ctx_http.post("/reranking", ex_wrapper(routes.post_rerank)); | |
| ctx_http.post("/v1/rerank", ex_wrapper(routes.post_rerank)); | |
| ctx_http.post("/v1/reranking", ex_wrapper(routes.post_rerank)); | |
| ctx_http.post("/v1/systemone", ex_wrapper(routes.post_systemone)); | |
| ctx_http.post("/tokenize", ex_wrapper(routes.post_tokenize)); | |
| ctx_http.post("/detokenize", ex_wrapper(routes.post_detokenize)); | |
| ctx_http.post("/apply-template", ex_wrapper(routes.post_apply_template)); | |
| // token counting | |
| ctx_http.post("/chat/completions/input_tokens", ex_wrapper(routes.post_chat_completions_tok)); | |
| ctx_http.post("/v1/chat/completions/input_tokens", ex_wrapper(routes.post_chat_completions_tok)); | |
| ctx_http.post("/responses/input_tokens", ex_wrapper(routes.post_responses_tok_oai)); | |
| ctx_http.post("/v1/responses/input_tokens", ex_wrapper(routes.post_responses_tok_oai)); | |
| ctx_http.post("/v1/messages/count_tokens", ex_wrapper(routes.post_anthropic_count_tokens)); // anthropic token counting | |
| // LoRA adapters hotswap | |
| ctx_http.get ("/lora-adapters", ex_wrapper(routes.get_lora_adapters)); | |
| ctx_http.post("/lora-adapters", ex_wrapper(routes.post_lora_adapters)); | |
| // Save & load slots | |
| ctx_http.get ("/slots", ex_wrapper(routes.get_slots)); | |
| ctx_http.post("/slots/:id_slot", ex_wrapper(routes.post_slots)); | |
| // Google Cloud Platform (Vertex AI) compat | |
| ctx_http.register_gcp_compat(); | |
| } | |
| // resumable streaming, see server-stream.h: an instance binds the local session factories, | |
| // a router binds proxies that resolve the owning child | |
| static void server_register_stream_routes( | |
| server_http_context & ctx_http, | |
| const server_http_context::handler_t & stream_get, | |
| const server_http_context::handler_t & streams_lookup, | |
| const server_http_context::handler_t & stream_delete) { | |
| ctx_http.get ("/v1/stream", ex_wrapper(stream_get)); | |
| ctx_http.post("/v1/streams/lookup", ex_wrapper(streams_lookup)); | |
| ctx_http.del ("/v1/stream", ex_wrapper(stream_delete)); | |
| } | |
| // the features behind a flag, and the warning about the ones that must not face untrusted clients | |
| // returns false when one of them fails to start | |
| static bool server_setup_features( | |
| server_http_context & ctx_http, | |
| const common_params & params, | |
| server_mcp & mcp_mgr, | |
| server_tools & tools, | |
| server_role_type role_type) { | |
| // return 403 for disabled features | |
| server_http_context::handler_t res_403 = [](const server_http_req &) { | |
| auto res = std::make_unique<server_http_res>(); | |
| res->status = 403; | |
| res->data = safe_json_to_str({ | |
| {"error", { | |
| {"message", "this feature is disabled"}, | |
| {"type", "feature_disabled"}, | |
| }} | |
| }); | |
| return res; | |
| }; | |
| if (params.cors_origins == "*" && params.api_keys.empty()) { | |
| SRV_WRN("%s", "security: no API key is set and CORS allows all origins (see https://github.com/ggml-org/llama.cpp/pull/25655)\n"); | |
| } | |
| std::vector<std::string> warn_names; | |
| if (role_type == SERVER_ROLE_ROUTER) { | |
| warn_names.push_back("router mode"); | |
| } | |
| if (params.server_connect) { | |
| warn_names.push_back("peer-to-peer tunnel (llama-connect, experimental)"); | |
| } | |
| // CORS proxy (EXPERIMENTAL, only used by the Web UI for MCP) | |
| if (params.ui_mcp_proxy) { | |
| ctx_http.get ("/cors-proxy", ex_wrapper(proxy_handler_get)); | |
| ctx_http.post("/cors-proxy", ex_wrapper(proxy_handler_post)); | |
| warn_names.push_back("MCP proxy (experimental)"); | |
| } else { | |
| ctx_http.get ("/cors-proxy", ex_wrapper(res_403)); | |
| ctx_http.post("/cors-proxy", ex_wrapper(res_403)); | |
| } | |
| try { | |
| mcp_mgr.start(params); | |
| } catch (const std::exception & e) { | |
| SRV_ERR("MCP starting failed: %s\n", e.what()); | |
| return false; | |
| } | |
| if (!params.server_tools.empty() || !mcp_mgr.empty()) { | |
| try { | |
| tools.setup(params.server_tools, mcp_mgr, params.server_tools_runtime); | |
| } catch (const std::exception & e) { | |
| SRV_ERR("tools setup failed: %s\n", e.what()); | |
| return false; | |
| } | |
| ctx_http.get ("/tools", ex_wrapper(tools.handle_get)); | |
| ctx_http.post("/tools", ex_wrapper(tools.handle_post)); | |
| if (!params.server_tools.empty()) { | |
| warn_names.push_back("server tools (experimental)"); | |
| } | |
| if (!params.server_tools_runtime.empty()) { | |
| warn_names.push_back("tools runtime (experimental)"); | |
| } | |
| if (!mcp_mgr.empty()) { | |
| warn_names.push_back("MCP servers (experimental)"); | |
| } | |
| } else { | |
| ctx_http.get ("/tools", ex_wrapper(res_403)); | |
| ctx_http.post("/tools", ex_wrapper(res_403)); | |
| } | |
| if (!warn_names.empty()) { | |
| std::string features; | |
| for (const auto & name : warn_names) { | |
| if (!features.empty()) features += ", "; | |
| features += name; | |
| } | |
| SRV_WRN("security: %s enabled - do not expose to untrusted environments\n", features.c_str()); | |
| } | |
| return true; | |
| } | |
| static void server_install_signal_handlers() { | |
| struct sigaction sigint_action; | |
| sigint_action.sa_handler = signal_handler; | |
| sigemptyset (&sigint_action.sa_mask); | |
| sigint_action.sa_flags = 0; | |
| sigaction(SIGINT, &sigint_action, NULL); | |
| sigaction(SIGTERM, &sigint_action, NULL); | |
| auto console_ctrl_handler = +[](DWORD ctrl_type) -> BOOL { | |
| return (ctrl_type == CTRL_C_EVENT) ? (signal_handler(SIGINT), true) : false; | |
| }; | |
| SetConsoleCtrlHandler(reinterpret_cast<PHANDLER_ROUTINE>(console_ctrl_handler), true); | |
| } | |
| // once the HTTP server listens: log the addresses and spawn llama-connect if asked, so the port is | |
| // bound and the child startup health check reaches us. the destructor of connect_proc stops it | |
| static bool server_on_listening(server_http_context & ctx_http, const common_params & params, server_connect & connect_proc) { | |
| for (const auto & address : ctx_http.listening_addresses) { | |
| SRV_INF("listening on %s\n", address.c_str()); | |
| } | |
| if (params.server_connect && !connect_proc.start(params, ctx_http.port)) { | |
| SRV_ERR("%s", "exiting due to llama-connect error\n"); | |
| return false; | |
| } | |
| return true; | |
| } | |
| // | |
| // download worker: a child of the router that pulls a model into the cache and reports the progress | |
| // | |
| struct server_download_state : public common_download_callback { | |
| server_role * role; | |
| std::function<bool()> should_stop; | |
| std::atomic<int64_t> last_progress_time{0}; // multiple files downloading in different threads | |
| bool is_ok = false; | |
| server_download_state(server_role * r) : role(r) {} | |
| bool run(common_params & params) { | |
| try { | |
| common_models_handler handler = common_models_handler_init(params, LLAMA_EXAMPLE_SERVER); | |
| common_models_handler_apply(handler, params, this); | |
| is_ok = true; | |
| } catch (const std::exception & e) { | |
| auto model_name = params.model.get_name(); | |
| SRV_ERR("download failed for model name=%s: %s\n", model_name.c_str(), e.what()); | |
| is_ok = false; | |
| } | |
| return is_ok; | |
| } | |
| void on_progress(const common_download_progress & p) { | |
| json data = { | |
| {"url", p.url}, | |
| {"downloaded", p.downloaded}, | |
| {"total", p.total}, | |
| }; | |
| role->notify_to_router(server_state_to_str(SERVER_STATE_DOWNLOADING), data); | |
| } | |
| void on_start(const common_download_progress & p) override { | |
| on_progress(p); | |
| } | |
| void on_update(const common_download_progress & p) override { | |
| int64_t now = ggml_time_ms(); | |
| // throttle progress updates to avoid flooding logs | |
| if (now - last_progress_time.load(std::memory_order_relaxed) >= 100) { | |
| on_progress(p); | |
| last_progress_time.store(now, std::memory_order_relaxed); | |
| } | |
| } | |
| void on_done(const common_download_progress & p, bool) override { | |
| on_progress(p); | |
| } | |
| bool is_cancelled() const override { | |
| return should_stop ? should_stop() : false; | |
| } | |
| }; | |
| static int server_run_download(common_params & params, server_role & role) { | |
| auto cancelled = std::make_shared<std::atomic<bool>>(false); | |
| // monitor stdin for cancellation command from the router | |
| std::thread signal_thread = role.setup([cancelled](int) { | |
| cancelled->store(true, std::memory_order_relaxed); | |
| }); | |
| server_download_state dl(&role); | |
| dl.should_stop = [cancelled]() { | |
| return cancelled->load(std::memory_order_relaxed); | |
| }; | |
| bool ok = dl.run(params); | |
| role.notify_to_router(server_state_to_str(SERVER_STATE_DOWNLOADING), { | |
| {"result", ok ? "download_finished" : "download_failed"}, | |
| }); | |
| // router should send CMD_ROUTER_TO_CHILD_EXIT after receiving the result | |
| if (signal_thread.joinable()) { | |
| signal_thread.join(); | |
| } | |
| SRV_INF("download completed %s\n", ok ? "successfully" : "with errors"); | |
| return 0; | |
| } | |
| // | |
| // measure worker: a child of the router, reports the memory a model needs without loading it | |
| // | |
| static int server_run_measure(common_params & params, server_role & role, common_models_handler & models_handler) { | |
| // the router sets --offline: only resolve the local path, never download | |
| try { | |
| common_models_handler_apply(models_handler, params); | |
| } catch (const std::exception & e) { | |
| SRV_ERR("failed to resolve model: %s\n", e.what()); | |
| return 1; | |
| } | |
| const std::string model_name = params.model.get_name(); | |
| // TODO: mmproj is not in llama_get_memory_breakdown, a multimodal model is underestimated | |
| json payload; | |
| try { | |
| common_memory_reports m = common_measure_memory(params); | |
| payload = { | |
| {"result", "measured"}, | |
| {"n_ctx_train", m.n_ctx_train}, | |
| {"min", server_model_memory(m.n_ctx_min, m.info_min).to_json()}, | |
| {"max", server_model_memory(m.n_ctx_max, m.info_max).to_json()}, | |
| }; | |
| SRV_INF("memory measured for model name=%s at n_ctx=%u (min) and n_ctx=%u (max)\n", | |
| model_name.c_str(), m.n_ctx_min, m.n_ctx_max); | |
| } catch (const std::exception & e) { | |
| SRV_ERR("failed to measure memory for model name=%s: %s\n", model_name.c_str(), e.what()); | |
| payload = { | |
| {"result", "failed"}, | |
| {"error", e.what()}, | |
| }; | |
| } | |
| role.notify_to_router(server_state_to_str(SERVER_STATE_MEASURING), payload); | |
| return 0; | |
| } | |
| // | |
| // router | |
| // | |
| static int server_run_router(common_params & params, int argc, char ** argv, const server_run_opts & opts) { | |
| SRV_INF("%s", "starting server in router mode. models will be automatically loaded on-demand\n"); | |
| // note: this is guaranteed to out-live ctx_http and tools | |
| server_mcp mcp_mgr; | |
| // the router loads no model, its context stays empty; the routes it does not proxy still need one | |
| server_context ctx_server; | |
| server_routes routes(params, ctx_server); | |
| server_tools tools; | |
| server_http_context ctx_http; | |
| if (!ctx_http.init(params)) { | |
| SRV_ERR("%s", "failed to initialize HTTP server\n"); | |
| return 1; | |
| } | |
| // setup server instances manager | |
| std::optional<server_models_routes> models_routes; | |
| try { | |
| models_routes.emplace(params, argc, argv); | |
| } catch (const std::exception & e) { | |
| SRV_ERR("failed to initialize router models: %s\n", e.what()); | |
| return 1; | |
| } | |
| // proxy handlers | |
| // note: routes.get_health stays the same | |
| routes.get_metrics = models_routes->proxy_get; | |
| routes.post_props = models_routes->proxy_post; | |
| routes.post_completions = models_routes->proxy_post; | |
| routes.post_completions_oai = models_routes->proxy_post; | |
| routes.post_chat_completions = models_routes->proxy_post; | |
| routes.post_control = models_routes->proxy_post; | |
| routes.post_responses_oai = models_routes->proxy_post; | |
| routes.post_transcriptions_oai = models_routes->proxy_post; | |
| routes.post_tts = models_routes->proxy_post; | |
| routes.ws_realtime = models_routes->proxy_ws; | |
| routes.post_anthropic_messages = models_routes->proxy_post; | |
| routes.post_anthropic_count_tokens = models_routes->proxy_post; | |
| routes.post_infill = models_routes->proxy_post; | |
| routes.post_embeddings = models_routes->proxy_post; | |
| routes.post_embeddings_oai = models_routes->proxy_post; | |
| routes.post_rerank = models_routes->proxy_post; | |
| routes.post_systemone = models_routes->proxy_post; | |
| routes.post_tokenize = models_routes->proxy_post; | |
| routes.post_detokenize = models_routes->proxy_post; | |
| routes.post_apply_template = models_routes->proxy_post; | |
| routes.post_chat_completions_tok = models_routes->proxy_post; | |
| routes.post_responses_tok_oai = models_routes->proxy_post; | |
| routes.get_lora_adapters = models_routes->proxy_get; | |
| routes.post_lora_adapters = models_routes->proxy_post; | |
| routes.get_slots = models_routes->proxy_get; | |
| routes.post_slots = models_routes->proxy_post; | |
| // custom routes for router | |
| routes.get_props = models_routes->get_router_props; | |
| routes.get_models = models_routes->get_router_models; | |
| ctx_http.post("/models", ex_wrapper(models_routes->post_router_models)); | |
| ctx_http.post("/models/load", ex_wrapper(models_routes->post_router_models_load)); | |
| ctx_http.post("/models/unload", ex_wrapper(models_routes->post_router_models_unload)); | |
| ctx_http.get ("/models/sse", ex_wrapper(models_routes->get_router_models_sse)); | |
| ctx_http.del ("/models", ex_wrapper(models_routes->del_router_models)); | |
| server_register_routes(ctx_http, routes); | |
| server_register_stream_routes(ctx_http, | |
| models_routes->router_stream_get, | |
| models_routes->router_streams_lookup, | |
| models_routes->router_stream_delete); | |
| if (!server_setup_features(ctx_http, params, mcp_mgr, tools, SERVER_ROLE_ROUTER)) { | |
| return 1; | |
| } | |
| auto clean_up = [&models_routes, &mcp_mgr]() { | |
| SRV_INF("%s: cleaning up before exit...\n", __func__); | |
| // stop the session GC first, it finalizes live sessions and wakes pending readers | |
| server_stream_session_manager_stop(); | |
| if (models_routes.has_value()) { | |
| models_routes->stopping.store(true); // maybe redundant, but just to be safe | |
| models_routes->models.unload_all(); | |
| } | |
| mcp_mgr.shutdown(); | |
| llama_backend_free(); | |
| }; | |
| if (!ctx_http.start()) { | |
| clean_up(); | |
| SRV_ERR("%s", "exiting due to HTTP server error\n"); | |
| return 1; | |
| } | |
| ctx_http.is_ready.store(true); | |
| shutdown_handler = [&](int) { | |
| if (models_routes.has_value()) { | |
| // important to disconnect any SSE clients | |
| models_routes->stopping.store(true); | |
| } | |
| mcp_mgr.shutdown(); | |
| ctx_http.stop(); | |
| }; | |
| try { | |
| models_routes->models.load_startup_models(); | |
| } catch (const std::exception & e) { | |
| SRV_ERR("failed to load models on startup: %s\n", e.what()); | |
| ctx_http.stop(); | |
| ctx_http.join(); | |
| clean_up(); | |
| return 1; | |
| } | |
| if (opts.install_signal_handlers) { | |
| server_install_signal_handlers(); | |
| } | |
| server_connect connect_proc; | |
| if (!server_on_listening(ctx_http, params, connect_proc)) { | |
| ctx_http.stop(); | |
| ctx_http.join(); | |
| clean_up(); | |
| return 1; | |
| } | |
| if (!params.models_preset_hf.empty()) { | |
| SRV_WRN( "NOTE: using preset.ini from HF repo '%s'\n", params.models_preset_hf.c_str()); | |
| SRV_WRN("%s", " please only use presets that you can trust! Unknown presets may be unsafe\n"); | |
| } | |
| ctx_http.join(); // keep the main thread alive | |
| // when the HTTP server stops, clean up and exit | |
| clean_up(); | |
| return 0; | |
| } | |
| // | |
| // instance | |
| // | |
| static int server_run_instance(common_params & params, server_role & role, common_models_handler & models_handler, const server_run_opts & opts) { | |
| // -hf / docker: download if needed and resolve the local path. a child resolves what the router downloaded | |
| if (opts.resolve_model) { | |
| try { | |
| common_models_handler_apply(models_handler, params); | |
| } catch (const std::exception & e) { | |
| SRV_ERR("failed to download model: %s\n", e.what()); | |
| return 1; | |
| } | |
| } | |
| // note: this is guaranteed to out-live ctx_http and tools | |
| server_mcp mcp_mgr; | |
| // struct that contains llama context and inference | |
| server_context ctx_server; | |
| server_routes routes(params, ctx_server); | |
| server_tools tools; | |
| server_http_context ctx_http; | |
| if (!ctx_http.init(params)) { | |
| SRV_ERR("%s", "failed to initialize HTTP server\n"); | |
| return 1; | |
| } | |
| server_register_routes(ctx_http, routes); | |
| server_register_stream_routes(ctx_http, | |
| server_stream_make_get_handler(), | |
| server_stream_make_lookup_handler(), | |
| server_stream_make_delete_handler()); | |
| if (!server_setup_features(ctx_http, params, mcp_mgr, tools, SERVER_ROLE_INSTANCE)) { | |
| return 1; | |
| } | |
| // setup clean up function, to be called before exit | |
| auto clean_up = [&ctx_http, &ctx_server, &mcp_mgr]() { | |
| SRV_INF("%s: cleaning up before exit...\n", __func__); | |
| // stop the session GC first, it finalizes live sessions and wakes pending readers | |
| server_stream_session_manager_stop(); | |
| ctx_http.stop(); | |
| ctx_server.terminate(); | |
| mcp_mgr.shutdown(); | |
| llama_backend_free(); | |
| }; | |
| // start the HTTP server before loading the model to be able to serve /health requests | |
| if (!ctx_http.start()) { | |
| clean_up(); | |
| SRV_ERR("%s", "exiting due to HTTP server error\n"); | |
| return 1; | |
| } | |
| // setup communication child --> router if necessary | |
| if (role.is_managed_by_router()) { | |
| ctx_server.set_state_callback([&](server_state state, json payload) { | |
| role.notify_to_router(server_state_to_str(state), payload); | |
| }); | |
| } | |
| if (!ctx_server.load_model(params)) { | |
| clean_up(); | |
| ctx_http.join(); | |
| SRV_ERR("%s", "exiting due to model loading error\n"); | |
| return 1; | |
| } | |
| routes.update_meta(ctx_server); | |
| ctx_http.is_ready.store(true); | |
| SRV_INF("%s", "model loaded\n"); | |
| shutdown_handler = [&](int) { | |
| mcp_mgr.shutdown(); | |
| // this will unblock start_loop() | |
| ctx_server.terminate(); | |
| }; | |
| if (opts.install_signal_handlers) { | |
| server_install_signal_handlers(); | |
| } | |
| server_connect connect_proc; | |
| if (!server_on_listening(ctx_http, params, connect_proc)) { | |
| ctx_http.stop(); | |
| ctx_http.join(); | |
| clean_up(); | |
| return 1; | |
| } | |
| // optionally, notify router server that this instance is ready | |
| std::thread monitor_thread; | |
| if (role.is_managed_by_router()) { | |
| monitor_thread = role.setup(shutdown_handler); | |
| json info = routes.get_model_info(); | |
| // the router tracks device memory from these reports | |
| if (const auto * ll_ctx = ctx_server.get_llama_context()) { | |
| info["memory"] = server_model_memory(llama_n_ctx(ll_ctx), common_memory_breakdown_rows(ll_ctx)).to_json(); | |
| } | |
| role.notify_to_router(server_state_to_str(SERVER_STATE_READY), info); | |
| } | |
| // this call blocks the main thread until queue_tasks.terminate() is called | |
| ctx_server.start_loop(); | |
| clean_up(); | |
| ctx_http.join(); | |
| if (monitor_thread.joinable()) { | |
| monitor_thread.join(); | |
| } | |
| auto * ll_ctx = ctx_server.get_llama_context(); | |
| if (ll_ctx != nullptr) { | |
| common_memory_breakdown_print(ll_ctx); | |
| } | |
| return 0; | |
| } | |
| // | |
| // entry points | |
| // | |
| static int server_run(common_params & params, int argc, char ** argv, server_role & role, const server_run_opts & opts) { | |
| common_models_handler models_handler; | |
| // -hf may name a preset repo, which makes this a router: settle that before deciding the role | |
| if (opts.resolve_model && !params.model.hf_repo.empty()) { | |
| try { | |
| models_handler = common_models_handler_init(params, LLAMA_EXAMPLE_SERVER); | |
| if (common_models_handler_is_preset_repo(models_handler)) { | |
| // apply the preset and start the server in router mode | |
| common_models_handler_apply(models_handler, params); | |
| } | |
| } catch (const std::exception & e) { | |
| SRV_ERR("failed to fetch model metadata: %s\n", e.what()); | |
| return 1; | |
| } | |
| } | |
| const server_role_type role_type = server_role_detect(params, role); | |
| // only an instance loads a model; the others must not touch the GPU, so skip the | |
| // device enumeration for them and the CUDA primary context stays uncreated | |
| common_params_print_info(params, role_type == SERVER_ROLE_INSTANCE); | |
| if (!server_prepare_params(params, role_type)) { | |
| return 1; | |
| } | |
| switch (role_type) { | |
| case SERVER_ROLE_DOWNLOAD: return server_run_download(params, role); | |
| case SERVER_ROLE_MEASURE: return server_run_measure(params, role, models_handler); | |
| case SERVER_ROLE_ROUTER: return server_run_router(params, argc, argv, opts); | |
| case SERVER_ROLE_INSTANCE: return server_run_instance(params, role, models_handler, opts); | |
| } | |
| GGML_ABORT("invalid server role"); | |
| } | |
| int llama_server(int argc, char ** argv) { | |
| server_role role; | |
| std::setlocale(LC_NUMERIC, "C"); | |
| // Ignore SIGPIPE so the server does not crash if a child (MCP server, tools runtime) exits while we are writing to its stdin | |
| signal(SIGPIPE, SIG_IGN); | |
| // own arguments required by this example | |
| common_params params; | |
| common_init(); | |
| // start the stream session manager GC right after common init, before any HTTP route can | |
| // touch it. lifecycle is symmetric, stop_gc() runs in clean_up() before backend free | |
| server_stream_session_manager_start(); | |
| if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_SERVER)) { | |
| return 1; | |
| } | |
| SRV_INF("%s", "initializing ...\n"); | |
| llama_backend_init(); | |
| llama_numa_init(params.numa); | |
| const int result = server_run(params, argc, argv, role, server_run_opts{}); | |
| common_log_flush(common_log_main()); | |
| return result; | |
| } | |
| int llama_server(common_params & params, int argc, char ** argv) { | |
| // embedded in llama-cli: it handles the signals, and the model is resolved already | |
| server_run_opts opts; | |
| opts.install_signal_handlers = false; | |
| opts.resolve_model = false; | |
| server_role role; | |
| return server_run(params, argc, argv, role, opts); | |
| } | |
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