diff --git a/examples/server/README.md b/examples/server/README.md index bf8c450b6..3abb1abe3 100644 --- a/examples/server/README.md +++ b/examples/server/README.md @@ -42,7 +42,7 @@ see https://github.com/ggerganov/llama.cpp/issues/1437 - `-to N`, `--timeout N`: Server read/write timeout in seconds. Default `600`. - `--host`: Set the hostname or ip address to listen. Default `127.0.0.1`. - `--port`: Set the port to listen. Default: `8080`. -- `--path`: path from which to serve static files (default examples/server/public) +- `--path`: path from which to serve static files (default: disabled) - `--api-key`: Set an api key for request authorization. By default the server responds to every request. With an api key set, the requests must have the Authorization header set with the api key as Bearer token. May be used multiple times to enable multiple valid keys. - `--api-key-file`: path to file containing api keys delimited by new lines. If set, requests must include one of the keys for access. May be used in conjunction with `--api-key`'s. - `--embedding`: Enable embedding extraction, Default: disabled. @@ -558,7 +558,7 @@ The HTTP server supports OAI-like API ### Extending or building alternative Web Front End -The default location for the static files is `examples/server/public`. You can extend the front end by running the server binary with `--path` set to `./your-directory` and importing `/completion.js` to get access to the llamaComplete() method. +You can extend the front end by running the server binary with `--path` set to `./your-directory` and importing `/completion.js` to get access to the llamaComplete() method. Read the documentation in `/completion.js` to see convenient ways to access llama. diff --git a/examples/server/server.cpp b/examples/server/server.cpp index c3b87c846..6e0f8328c 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -113,7 +113,7 @@ struct server_params { int32_t n_threads_http = -1; std::string hostname = "127.0.0.1"; - std::string public_path = "examples/server/public"; + std::string public_path = ""; std::string chat_template = ""; std::string system_prompt = ""; @@ -2145,7 +2145,7 @@ static void server_print_usage(const char * argv0, const gpt_params & params, co printf(" --lora-base FNAME optional model to use as a base for the layers modified by the LoRA adapter\n"); printf(" --host ip address to listen (default (default: %s)\n", sparams.hostname.c_str()); printf(" --port PORT port to listen (default (default: %d)\n", sparams.port); - printf(" --path PUBLIC_PATH path from which to serve static files (default %s)\n", sparams.public_path.c_str()); + printf(" --path PUBLIC_PATH path from which to serve static files (default: disabled)\n"); printf(" --api-key API_KEY optional api key to enhance server security. If set, requests must include this key for access.\n"); printf(" --api-key-file FNAME path to file containing api keys delimited by new lines. If set, requests must include one of the keys for access.\n"); #ifdef CPPHTTPLIB_OPENSSL_SUPPORT @@ -2211,7 +2211,7 @@ static void server_params_parse(int argc, char ** argv, server_params & sparams, invalid_param = true; break; } - sparams.api_keys.emplace_back(argv[i]); + sparams.api_keys.push_back(argv[i]); } else if (arg == "--api-key-file") { if (++i >= argc) { invalid_param = true; @@ -2712,7 +2712,143 @@ int main(int argc, char ** argv) { res.set_header("Access-Control-Allow-Headers", "*"); }); - svr->Get("/health", [&](const httplib::Request & req, httplib::Response & res) { + svr->set_logger(log_server_request); + + svr->set_exception_handler([](const httplib::Request &, httplib::Response & res, std::exception_ptr ep) { + const char fmt[] = "500 Internal Server Error\n%s"; + + char buf[BUFSIZ]; + try { + std::rethrow_exception(std::move(ep)); + } catch (std::exception &e) { + snprintf(buf, sizeof(buf), fmt, e.what()); + } catch (...) { + snprintf(buf, sizeof(buf), fmt, "Unknown Exception"); + } + + res.set_content(buf, "text/plain; charset=utf-8"); + res.status = 500; + }); + + svr->set_error_handler([](const httplib::Request &, httplib::Response & res) { + if (res.status == 401) { + res.set_content("Unauthorized", "text/plain; charset=utf-8"); + } + if (res.status == 400) { + res.set_content("Invalid request", "text/plain; charset=utf-8"); + } + if (res.status == 404) { + res.set_content("File Not Found", "text/plain; charset=utf-8"); + } + }); + + // set timeouts and change hostname and port + svr->set_read_timeout (sparams.read_timeout); + svr->set_write_timeout(sparams.write_timeout); + + if (!svr->bind_to_port(sparams.hostname, sparams.port)) { + fprintf(stderr, "\ncouldn't bind to server socket: hostname=%s port=%d\n\n", sparams.hostname.c_str(), sparams.port); + return 1; + } + + std::unordered_map log_data; + + log_data["hostname"] = sparams.hostname; + log_data["port"] = std::to_string(sparams.port); + + if (sparams.api_keys.size() == 1) { + auto key = sparams.api_keys[0]; + log_data["api_key"] = "api_key: ****" + key.substr(std::max((int)(key.length() - 4), 0)); + } else if (sparams.api_keys.size() > 1) { + log_data["api_key"] = "api_key: " + std::to_string(sparams.api_keys.size()) + " keys loaded"; + } + + // load the model + if (!ctx_server.load_model(params)) { + state.store(SERVER_STATE_ERROR); + return 1; + } else { + ctx_server.initialize(); + state.store(SERVER_STATE_READY); + } + + LOG_INFO("model loaded", {}); + + const auto model_meta = ctx_server.model_meta(); + + if (sparams.chat_template.empty()) { // custom chat template is not supplied + if (!ctx_server.validate_model_chat_template()) { + LOG_ERROR("The chat template that comes with this model is not yet supported, falling back to chatml. This may cause the model to output suboptimal responses", {}); + sparams.chat_template = "chatml"; + } + } + + // + // Middlewares + // + + auto middleware_validate_api_key = [&sparams](const httplib::Request & req, httplib::Response & res) { + // TODO: should we apply API key to all endpoints, including "/health" and "/models"? + static const std::set protected_endpoints = { + "/props", + "/completion", + "/completions", + "/v1/completions", + "/chat/completions", + "/v1/chat/completions", + "/infill", + "/tokenize", + "/detokenize", + "/embedding", + "/embeddings", + "/v1/embeddings", + }; + + // If API key is not set, skip validation + if (sparams.api_keys.empty()) { + return true; + } + + // If path is not in protected_endpoints list, skip validation + if (protected_endpoints.find(req.path) == protected_endpoints.end()) { + return true; + } + + // Check for API key in the header + auto auth_header = req.get_header_value("Authorization"); + + std::string prefix = "Bearer "; + if (auth_header.substr(0, prefix.size()) == prefix) { + std::string received_api_key = auth_header.substr(prefix.size()); + if (std::find(sparams.api_keys.begin(), sparams.api_keys.end(), received_api_key) != sparams.api_keys.end()) { + return true; // API key is valid + } + } + + // API key is invalid or not provided + // TODO: make another middleware for CORS related logic + res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin")); + res.set_content("Unauthorized: Invalid API Key", "text/plain; charset=utf-8"); + res.status = 401; // Unauthorized + + LOG_WARNING("Unauthorized: Invalid API Key", {}); + + return false; + }; + + // register server middlewares + svr->set_pre_routing_handler([&middleware_validate_api_key](const httplib::Request & req, httplib::Response & res) { + if (!middleware_validate_api_key(req, res)) { + return httplib::Server::HandlerResponse::Handled; + } + return httplib::Server::HandlerResponse::Unhandled; + }); + + // + // Route handlers (or controllers) + // + + const auto handle_health = [&](const httplib::Request & req, httplib::Response & res) { server_state current_state = state.load(); switch (current_state) { case SERVER_STATE_READY: @@ -2765,252 +2901,136 @@ int main(int argc, char ** argv) { res.status = 500; // HTTP Internal Server Error } break; } - }); - - if (sparams.slots_endpoint) { - svr->Get("/slots", [&](const httplib::Request &, httplib::Response & res) { - // request slots data using task queue - server_task task; - task.id = ctx_server.queue_tasks.get_new_id(); - task.id_multi = -1; - task.id_target = -1; - task.type = SERVER_TASK_TYPE_METRICS; - - ctx_server.queue_results.add_waiting_task_id(task.id); - ctx_server.queue_tasks.post(task); - - // get the result - server_task_result result = ctx_server.queue_results.recv(task.id); - ctx_server.queue_results.remove_waiting_task_id(task.id); - - res.set_content(result.data["slots"].dump(), "application/json"); - res.status = 200; // HTTP OK - }); - } - - if (sparams.metrics_endpoint) { - svr->Get("/metrics", [&](const httplib::Request &, httplib::Response & res) { - // request slots data using task queue - server_task task; - task.id = ctx_server.queue_tasks.get_new_id(); - task.id_multi = -1; - task.id_target = -1; - task.type = SERVER_TASK_TYPE_METRICS; - task.data.push_back({{"reset_bucket", true}}); - - ctx_server.queue_results.add_waiting_task_id(task.id); - ctx_server.queue_tasks.post(task); - - // get the result - server_task_result result = ctx_server.queue_results.recv(task.id); - ctx_server.queue_results.remove_waiting_task_id(task.id); - - json data = result.data; - - const uint64_t n_prompt_tokens_processed = data["n_prompt_tokens_processed"]; - const uint64_t t_prompt_processing = data["t_prompt_processing"]; - - const uint64_t n_tokens_predicted = data["n_tokens_predicted"]; - const uint64_t t_tokens_generation = data["t_tokens_generation"]; - - const int32_t kv_cache_used_cells = data["kv_cache_used_cells"]; - - // metrics definition: https://prometheus.io/docs/practices/naming/#metric-names - json all_metrics_def = json { - {"counter", {{ - {"name", "prompt_tokens_total"}, - {"help", "Number of prompt tokens processed."}, - {"value", (uint64_t) data["n_prompt_tokens_processed_total"]} - }, { - {"name", "prompt_seconds_total"}, - {"help", "Prompt process time"}, - {"value", (uint64_t) data["t_prompt_processing_total"] / 1.e3} - }, { - {"name", "tokens_predicted_total"}, - {"help", "Number of generation tokens processed."}, - {"value", (uint64_t) data["n_tokens_predicted_total"]} - }, { - {"name", "tokens_predicted_seconds_total"}, - {"help", "Predict process time"}, - {"value", (uint64_t) data["t_tokens_generation_total"] / 1.e3} - }}}, - {"gauge", {{ - {"name", "prompt_tokens_seconds"}, - {"help", "Average prompt throughput in tokens/s."}, - {"value", n_prompt_tokens_processed ? 1.e3 / t_prompt_processing * n_prompt_tokens_processed : 0.} - },{ - {"name", "predicted_tokens_seconds"}, - {"help", "Average generation throughput in tokens/s."}, - {"value", n_tokens_predicted ? 1.e3 / t_tokens_generation * n_tokens_predicted : 0.} - },{ - {"name", "kv_cache_usage_ratio"}, - {"help", "KV-cache usage. 1 means 100 percent usage."}, - {"value", 1. * kv_cache_used_cells / params.n_ctx} - },{ - {"name", "kv_cache_tokens"}, - {"help", "KV-cache tokens."}, - {"value", (uint64_t) data["kv_cache_tokens_count"]} - },{ - {"name", "requests_processing"}, - {"help", "Number of request processing."}, - {"value", (uint64_t) data["processing"]} - },{ - {"name", "requests_deferred"}, - {"help", "Number of request deferred."}, - {"value", (uint64_t) data["deferred"]} - }}} - }; - - std::stringstream prometheus; - - for (const auto & el : all_metrics_def.items()) { - const auto & type = el.key(); - const auto & metrics_def = el.value(); - - for (const auto & metric_def : metrics_def) { - const std::string name = metric_def["name"]; - const std::string help = metric_def["help"]; - - auto value = json_value(metric_def, "value", 0.); - prometheus << "# HELP llamacpp:" << name << " " << help << "\n" - << "# TYPE llamacpp:" << name << " " << type << "\n" - << "llamacpp:" << name << " " << value << "\n"; - } - } - - const int64_t t_start = data["t_start"]; - res.set_header("Process-Start-Time-Unix", std::to_string(t_start)); - - res.set_content(prometheus.str(), "text/plain; version=0.0.4"); - res.status = 200; // HTTP OK - }); - } - - svr->set_logger(log_server_request); - - svr->set_exception_handler([](const httplib::Request &, httplib::Response & res, std::exception_ptr ep) { - const char fmt[] = "500 Internal Server Error\n%s"; - - char buf[BUFSIZ]; - try { - std::rethrow_exception(std::move(ep)); - } catch (std::exception &e) { - snprintf(buf, sizeof(buf), fmt, e.what()); - } catch (...) { - snprintf(buf, sizeof(buf), fmt, "Unknown Exception"); - } - - res.set_content(buf, "text/plain; charset=utf-8"); - res.status = 500; - }); - - svr->set_error_handler([](const httplib::Request &, httplib::Response & res) { - if (res.status == 401) { - res.set_content("Unauthorized", "text/plain; charset=utf-8"); - } - if (res.status == 400) { - res.set_content("Invalid request", "text/plain; charset=utf-8"); - } - if (res.status == 404) { - res.set_content("File Not Found", "text/plain; charset=utf-8"); - } - }); - - // set timeouts and change hostname and port - svr->set_read_timeout (sparams.read_timeout); - svr->set_write_timeout(sparams.write_timeout); - - if (!svr->bind_to_port(sparams.hostname, sparams.port)) { - fprintf(stderr, "\ncouldn't bind to server socket: hostname=%s port=%d\n\n", sparams.hostname.c_str(), sparams.port); - return 1; - } - - // Set the base directory for serving static files - svr->set_base_dir(sparams.public_path); - - std::unordered_map log_data; - - log_data["hostname"] = sparams.hostname; - log_data["port"] = std::to_string(sparams.port); - - if (sparams.api_keys.size() == 1) { - log_data["api_key"] = "api_key: ****" + sparams.api_keys[0].substr(sparams.api_keys[0].length() - 4); - } else if (sparams.api_keys.size() > 1) { - log_data["api_key"] = "api_key: " + std::to_string(sparams.api_keys.size()) + " keys loaded"; - } - - // load the model - if (!ctx_server.load_model(params)) { - state.store(SERVER_STATE_ERROR); - return 1; - } else { - ctx_server.initialize(); - state.store(SERVER_STATE_READY); - } - - LOG_INFO("model loaded", {}); - - const auto model_meta = ctx_server.model_meta(); - - if (sparams.chat_template.empty()) { // custom chat template is not supplied - if (!ctx_server.validate_model_chat_template()) { - LOG_ERROR("The chat template that comes with this model is not yet supported, falling back to chatml. This may cause the model to output suboptimal responses", {}); - sparams.chat_template = "chatml"; - } - } - - // Middleware for API key validation - auto validate_api_key = [&sparams](const httplib::Request &req, httplib::Response &res) -> bool { - // If API key is not set, skip validation - if (sparams.api_keys.empty()) { - return true; - } - - // Check for API key in the header - auto auth_header = req.get_header_value("Authorization"); - - std::string prefix = "Bearer "; - if (auth_header.substr(0, prefix.size()) == prefix) { - std::string received_api_key = auth_header.substr(prefix.size()); - if (std::find(sparams.api_keys.begin(), sparams.api_keys.end(), received_api_key) != sparams.api_keys.end()) { - return true; // API key is valid - } - } - - // API key is invalid or not provided - res.set_content("Unauthorized: Invalid API Key", "text/plain; charset=utf-8"); - res.status = 401; // Unauthorized - - LOG_WARNING("Unauthorized: Invalid API Key", {}); - - return false; }; - // this is only called if no index.html is found in the public --path - svr->Get("/", [](const httplib::Request &, httplib::Response & res) { - res.set_content(reinterpret_cast(&index_html), index_html_len, "text/html; charset=utf-8"); - return false; - }); + const auto handle_slots = [&](const httplib::Request &, httplib::Response & res) { + if (!sparams.slots_endpoint) { + res.status = 501; + res.set_content("This server does not support slots endpoint.", "text/plain; charset=utf-8"); + return; + } - // this is only called if no index.js is found in the public --path - svr->Get("/index.js", [](const httplib::Request &, httplib::Response & res) { - res.set_content(reinterpret_cast(&index_js), index_js_len, "text/javascript; charset=utf-8"); - return false; - }); + // request slots data using task queue + server_task task; + task.id = ctx_server.queue_tasks.get_new_id(); + task.id_multi = -1; + task.id_target = -1; + task.type = SERVER_TASK_TYPE_METRICS; - // this is only called if no index.html is found in the public --path - svr->Get("/completion.js", [](const httplib::Request &, httplib::Response & res) { - res.set_content(reinterpret_cast(&completion_js), completion_js_len, "application/javascript; charset=utf-8"); - return false; - }); + ctx_server.queue_results.add_waiting_task_id(task.id); + ctx_server.queue_tasks.post(task); - // this is only called if no index.html is found in the public --path - svr->Get("/json-schema-to-grammar.mjs", [](const httplib::Request &, httplib::Response & res) { - res.set_content(reinterpret_cast(&json_schema_to_grammar_mjs), json_schema_to_grammar_mjs_len, "application/javascript; charset=utf-8"); - return false; - }); + // get the result + server_task_result result = ctx_server.queue_results.recv(task.id); + ctx_server.queue_results.remove_waiting_task_id(task.id); - svr->Get("/props", [&ctx_server](const httplib::Request & req, httplib::Response & res) { + res.set_content(result.data["slots"].dump(), "application/json"); + res.status = 200; // HTTP OK + }; + + const auto handle_metrics = [&](const httplib::Request &, httplib::Response & res) { + if (!sparams.metrics_endpoint) { + res.status = 501; + res.set_content("This server does not support metrics endpoint.", "text/plain; charset=utf-8"); + return; + } + + // request slots data using task queue + server_task task; + task.id = ctx_server.queue_tasks.get_new_id(); + task.id_multi = -1; + task.id_target = -1; + task.type = SERVER_TASK_TYPE_METRICS; + task.data.push_back({{"reset_bucket", true}}); + + ctx_server.queue_results.add_waiting_task_id(task.id); + ctx_server.queue_tasks.post(task); + + // get the result + server_task_result result = ctx_server.queue_results.recv(task.id); + ctx_server.queue_results.remove_waiting_task_id(task.id); + + json data = result.data; + + const uint64_t n_prompt_tokens_processed = data["n_prompt_tokens_processed"]; + const uint64_t t_prompt_processing = data["t_prompt_processing"]; + + const uint64_t n_tokens_predicted = data["n_tokens_predicted"]; + const uint64_t t_tokens_generation = data["t_tokens_generation"]; + + const int32_t kv_cache_used_cells = data["kv_cache_used_cells"]; + + // metrics definition: https://prometheus.io/docs/practices/naming/#metric-names + json all_metrics_def = json { + {"counter", {{ + {"name", "prompt_tokens_total"}, + {"help", "Number of prompt tokens processed."}, + {"value", (uint64_t) data["n_prompt_tokens_processed_total"]} + }, { + {"name", "prompt_seconds_total"}, + {"help", "Prompt process time"}, + {"value", (uint64_t) data["t_prompt_processing_total"] / 1.e3} + }, { + {"name", "tokens_predicted_total"}, + {"help", "Number of generation tokens processed."}, + {"value", (uint64_t) data["n_tokens_predicted_total"]} + }, { + {"name", "tokens_predicted_seconds_total"}, + {"help", "Predict process time"}, + {"value", (uint64_t) data["t_tokens_generation_total"] / 1.e3} + }}}, + {"gauge", {{ + {"name", "prompt_tokens_seconds"}, + {"help", "Average prompt throughput in tokens/s."}, + {"value", n_prompt_tokens_processed ? 1.e3 / t_prompt_processing * n_prompt_tokens_processed : 0.} + },{ + {"name", "predicted_tokens_seconds"}, + {"help", "Average generation throughput in tokens/s."}, + {"value", n_tokens_predicted ? 1.e3 / t_tokens_generation * n_tokens_predicted : 0.} + },{ + {"name", "kv_cache_usage_ratio"}, + {"help", "KV-cache usage. 1 means 100 percent usage."}, + {"value", 1. * kv_cache_used_cells / params.n_ctx} + },{ + {"name", "kv_cache_tokens"}, + {"help", "KV-cache tokens."}, + {"value", (uint64_t) data["kv_cache_tokens_count"]} + },{ + {"name", "requests_processing"}, + {"help", "Number of request processing."}, + {"value", (uint64_t) data["processing"]} + },{ + {"name", "requests_deferred"}, + {"help", "Number of request deferred."}, + {"value", (uint64_t) data["deferred"]} + }}} + }; + + std::stringstream prometheus; + + for (const auto & el : all_metrics_def.items()) { + const auto & type = el.key(); + const auto & metrics_def = el.value(); + + for (const auto & metric_def : metrics_def) { + const std::string name = metric_def["name"]; + const std::string help = metric_def["help"]; + + auto value = json_value(metric_def, "value", 0.); + prometheus << "# HELP llamacpp:" << name << " " << help << "\n" + << "# TYPE llamacpp:" << name << " " << type << "\n" + << "llamacpp:" << name << " " << value << "\n"; + } + } + + const int64_t t_start = data["t_start"]; + res.set_header("Process-Start-Time-Unix", std::to_string(t_start)); + + res.set_content(prometheus.str(), "text/plain; version=0.0.4"); + res.status = 200; // HTTP OK + }; + + const auto handle_props = [&ctx_server](const httplib::Request & req, httplib::Response & res) { res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin")); json data = { { "user_name", ctx_server.name_user.c_str() }, @@ -3020,13 +3040,10 @@ int main(int argc, char ** argv) { }; res.set_content(data.dump(), "application/json; charset=utf-8"); - }); + }; - const auto completions = [&ctx_server, &validate_api_key](const httplib::Request & req, httplib::Response & res) { + const auto handle_completions = [&ctx_server](const httplib::Request & req, httplib::Response & res) { res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin")); - if (!validate_api_key(req, res)) { - return; - } json data = json::parse(req.body); @@ -3102,11 +3119,7 @@ int main(int argc, char ** argv) { } }; - svr->Post("/completion", completions); // legacy - svr->Post("/completions", completions); - svr->Post("/v1/completions", completions); - - svr->Get("/v1/models", [¶ms, &model_meta](const httplib::Request & req, httplib::Response & res) { + const auto handle_models = [¶ms, &model_meta](const httplib::Request & req, httplib::Response & res) { res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin")); json models = { @@ -3123,14 +3136,10 @@ int main(int argc, char ** argv) { }; res.set_content(models.dump(), "application/json; charset=utf-8"); - }); + }; - const auto chat_completions = [&ctx_server, &validate_api_key, &sparams](const httplib::Request & req, httplib::Response & res) { + const auto handle_chat_completions = [&ctx_server, &sparams](const httplib::Request & req, httplib::Response & res) { res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin")); - if (!validate_api_key(req, res)) { - return; - } - json data = oaicompat_completion_params_parse(ctx_server.model, json::parse(req.body), sparams.chat_template); const int id_task = ctx_server.queue_tasks.get_new_id(); @@ -3201,14 +3210,8 @@ int main(int argc, char ** argv) { } }; - svr->Post("/chat/completions", chat_completions); - svr->Post("/v1/chat/completions", chat_completions); - - svr->Post("/infill", [&ctx_server, &validate_api_key](const httplib::Request & req, httplib::Response & res) { + const auto handle_infill = [&ctx_server](const httplib::Request & req, httplib::Response & res) { res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin")); - if (!validate_api_key(req, res)) { - return; - } json data = json::parse(req.body); @@ -3266,13 +3269,9 @@ int main(int argc, char ** argv) { res.set_chunked_content_provider("text/event-stream", chunked_content_provider, on_complete); } - }); + }; - svr->Options(R"(/.*)", [](const httplib::Request &, httplib::Response & res) { - return res.set_content("", "application/json; charset=utf-8"); - }); - - svr->Post("/tokenize", [&ctx_server](const httplib::Request & req, httplib::Response & res) { + const auto handle_tokenize = [&ctx_server](const httplib::Request & req, httplib::Response & res) { res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin")); const json body = json::parse(req.body); @@ -3282,9 +3281,9 @@ int main(int argc, char ** argv) { } const json data = format_tokenizer_response(tokens); return res.set_content(data.dump(), "application/json; charset=utf-8"); - }); + }; - svr->Post("/detokenize", [&ctx_server](const httplib::Request & req, httplib::Response & res) { + const auto handle_detokenize = [&ctx_server](const httplib::Request & req, httplib::Response & res) { res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin")); const json body = json::parse(req.body); @@ -3296,9 +3295,9 @@ int main(int argc, char ** argv) { const json data = format_detokenized_response(content); return res.set_content(data.dump(), "application/json; charset=utf-8"); - }); + }; - svr->Post("/embedding", [¶ms, &ctx_server](const httplib::Request & req, httplib::Response & res) { + const auto handle_embeddings = [¶ms, &ctx_server](const httplib::Request & req, httplib::Response & res) { res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin")); if (!params.embedding) { res.status = 501; @@ -3307,94 +3306,114 @@ int main(int argc, char ** argv) { } const json body = json::parse(req.body); + bool is_openai = false; - json prompt; - if (body.count("content") != 0) { - prompt = body["content"]; - } else { - prompt = ""; - } - - // create and queue the task - const int id_task = ctx_server.queue_tasks.get_new_id(); - - ctx_server.queue_results.add_waiting_task_id(id_task); - ctx_server.request_completion(id_task, -1, { {"prompt", prompt}, { "n_predict", 0} }, false, true); - - // get the result - server_task_result result = ctx_server.queue_results.recv(id_task); - ctx_server.queue_results.remove_waiting_task_id(id_task); - - // send the result - return res.set_content(result.data.dump(), "application/json; charset=utf-8"); - }); - - svr->Post("/v1/embeddings", [¶ms, &ctx_server](const httplib::Request & req, httplib::Response & res) { - res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin")); - if (!params.embedding) { - res.status = 501; - res.set_content("This server does not support embeddings. Start it with `--embeddings`", "text/plain; charset=utf-8"); - return; - } - - const json body = json::parse(req.body); - - json prompt; + // an input prompt can string or a list of tokens (integer) + std::vector prompts; if (body.count("input") != 0) { - prompt = body["input"]; - if (prompt.is_array()) { - json data = json::array(); - - int i = 0; - for (const json & elem : prompt) { - const int id_task = ctx_server.queue_tasks.get_new_id(); - - ctx_server.queue_results.add_waiting_task_id(id_task); - ctx_server.request_completion(id_task, -1, { {"prompt", elem}, { "n_predict", 0} }, false, true); - - // get the result - server_task_result result = ctx_server.queue_results.recv(id_task); - ctx_server.queue_results.remove_waiting_task_id(id_task); - - json embedding = json{ - {"embedding", json_value(result.data, "embedding", json::array())}, - {"index", i++}, - {"object", "embedding"} - }; - - data.push_back(embedding); + is_openai = true; + if (body["input"].is_array()) { + // support multiple prompts + for (const json & elem : body["input"]) { + prompts.push_back(elem); } - - json result = format_embeddings_response_oaicompat(body, data); - - return res.set_content(result.dump(), "application/json; charset=utf-8"); + } else { + // single input prompt + prompts.push_back(body["input"]); } + } else if (body.count("content") != 0) { + // only support single prompt here + std::string content = body["content"]; + prompts.push_back(content); } else { - prompt = ""; + // TODO @ngxson : should return an error here + prompts.push_back(""); } - // create and queue the task - const int id_task = ctx_server.queue_tasks.get_new_id(); + // process all prompts + json responses = json::array(); + for (auto & prompt : prompts) { + // TODO @ngxson : maybe support multitask for this endpoint? + // create and queue the task + const int id_task = ctx_server.queue_tasks.get_new_id(); - ctx_server.queue_results.add_waiting_task_id(id_task); - ctx_server.request_completion(id_task, -1, { {"prompt", prompt}, { "n_predict", 0}}, false, true); + ctx_server.queue_results.add_waiting_task_id(id_task); + ctx_server.request_completion(id_task, -1, { {"prompt", prompt}, { "n_predict", 0}}, false, true); - // get the result - server_task_result result = ctx_server.queue_results.recv(id_task); - ctx_server.queue_results.remove_waiting_task_id(id_task); - - json data = json::array({json{ - {"embedding", json_value(result.data, "embedding", json::array())}, - {"index", 0}, - {"object", "embedding"} - }} - ); - - json root = format_embeddings_response_oaicompat(body, data); + // get the result + server_task_result result = ctx_server.queue_results.recv(id_task); + ctx_server.queue_results.remove_waiting_task_id(id_task); + responses.push_back(result.data); + } + // write JSON response + json root; + if (is_openai) { + json res_oai = json::array(); + int i = 0; + for (auto & elem : responses) { + res_oai.push_back(json{ + {"embedding", json_value(elem, "embedding", json::array())}, + {"index", i++}, + {"object", "embedding"} + }); + } + root = format_embeddings_response_oaicompat(body, res_oai); + } else { + root = responses[0]; + } return res.set_content(root.dump(), "application/json; charset=utf-8"); - }); + }; + // + // Router + // + + // register static assets routes + if (!sparams.public_path.empty()) { + // Set the base directory for serving static files + svr->set_base_dir(sparams.public_path); + } + + // using embedded static files + auto handle_static_file = [](unsigned char * content, size_t len, const char * mime_type) { + return [content, len, mime_type](const httplib::Request &, httplib::Response & res) { + res.set_content(reinterpret_cast(content), len, mime_type); + return false; + }; + }; + + svr->Options(R"(/.*)", [](const httplib::Request &, httplib::Response & res) { + // TODO @ngxson : I have no idea what it is... maybe this is redundant? + return res.set_content("", "application/json; charset=utf-8"); + }); + svr->Get("/", handle_static_file(index_html, index_html_len, "text/html; charset=utf-8")); + svr->Get("/index.js", handle_static_file(index_js, index_js_len, "text/javascript; charset=utf-8")); + svr->Get("/completion.js", handle_static_file(completion_js, completion_js_len, "text/javascript; charset=utf-8")); + svr->Get("/json-schema-to-grammar.mjs", handle_static_file( + json_schema_to_grammar_mjs, json_schema_to_grammar_mjs_len, "text/javascript; charset=utf-8")); + + // register API routes + svr->Get ("/health", handle_health); + svr->Get ("/slots", handle_slots); + svr->Get ("/metrics", handle_metrics); + svr->Get ("/props", handle_props); + svr->Get ("/v1/models", handle_models); + svr->Post("/completion", handle_completions); // legacy + svr->Post("/completions", handle_completions); + svr->Post("/v1/completions", handle_completions); + svr->Post("/chat/completions", handle_chat_completions); + svr->Post("/v1/chat/completions", handle_chat_completions); + svr->Post("/infill", handle_infill); + svr->Post("/embedding", handle_embeddings); // legacy + svr->Post("/embeddings", handle_embeddings); + svr->Post("/v1/embeddings", handle_embeddings); + svr->Post("/tokenize", handle_tokenize); + svr->Post("/detokenize", handle_detokenize); + + // + // Start the server + // if (sparams.n_threads_http < 1) { // +2 threads for monitoring endpoints sparams.n_threads_http = std::max(params.n_parallel + 2, (int32_t) std::thread::hardware_concurrency() - 1); diff --git a/examples/server/tests/features/security.feature b/examples/server/tests/features/security.feature index 42a6709a5..1d6aa40ea 100644 --- a/examples/server/tests/features/security.feature +++ b/examples/server/tests/features/security.feature @@ -39,8 +39,9 @@ Feature: Security Scenario Outline: CORS Options - When an OPTIONS request is sent from - Then CORS header is set to + Given a user api key llama.cpp + When an OPTIONS request is sent from + Then CORS header is set to Examples: Headers | origin | cors_header | cors_header_value | diff --git a/examples/server/tests/features/steps/steps.py b/examples/server/tests/features/steps/steps.py index 0076f805b..142048509 100644 --- a/examples/server/tests/features/steps/steps.py +++ b/examples/server/tests/features/steps/steps.py @@ -582,8 +582,9 @@ async def step_detokenize(context): @async_run_until_complete async def step_options_request(context, origin): async with aiohttp.ClientSession() as session: + headers = {'Authorization': f'Bearer {context.user_api_key}', 'Origin': origin} async with session.options(f'{context.base_url}/v1/chat/completions', - headers={"Origin": origin}) as response: + headers=headers) as response: assert response.status == 200 context.options_response = response