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Code Issues Actions 11 Packages Projects Releases Wiki Activity

Server: reorganize some http logic (#5939)

Browse Source 
* refactor static file handler

* use set_pre_routing_handler for validate_api_key

* merge embedding handlers

* correct http verb for endpoints

* fix embedding response

* fix test case CORS Options

* fix code style
This commit is contained in:
Xuan Son Nguyen 2024-03-09 11:27:53 +01:00 committed by GitHub
parent e1fa9569ba
commit 950ba1ab84
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4 changed files with 379 additions and 358 deletions
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4
examples/server/README.md
View File

@ -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.

725
examples/server/server.cpp
View File

@ -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<std::string, std::string> 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<std::string> 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<std::string, std::string> 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<const char*>(&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<const char *>(&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<const char*>(&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<const char*>(&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", [&params, &model_meta](const httplib::Request & req, httplib::Response & res) {
const auto handle_models = [&params, &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", [&params, &ctx_server](const httplib::Request & req, httplib::Response & res) {
const auto handle_embeddings = [&params, &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", [&params, &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<json> 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<const char*>(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);

5
examples/server/tests/features/security.feature
View File

@ -39,8 +39,9 @@ Feature: Security
Scenario Outline: CORS Options
When an OPTIONS request is sent from <origin>
Then CORS header <cors_header> is set to <cors_header_value>
Given a user api key llama.cpp
When an OPTIONS request is sent from <origin>
Then CORS header <cors_header> is set to <cors_header_value>
Examples: Headers
| origin | cors_header | cors_header_value |

3
examples/server/tests/features/steps/steps.py
View File

@ -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