mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2026-09-19 17:24:57 +02:00
various fixes
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@@ -53,19 +53,19 @@ static void log_server_request(const httplib::Request & req, const httplib::Resp
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SRV_DBG("response: %s\n", res.body.c_str());
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}
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// For Vertex AI compatibility
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struct vertexai_params {
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// For Google Cloud Platform deployment compatibility
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struct gcp_params {
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bool enabled;
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std::string path_health;
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std::string path_predict;
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int port;
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// Ref: https://docs.cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables
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vertexai_params() {
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enabled = getenv("AIP_MODE", "") == "PREDICT";
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gcp_params() {
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enabled = getenv("AIP_MODE", "") == "PREDICTION";
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path_health = getenv("AIP_HEALTH_ROUTE", "", true); // default: using the route defined in server.cpp
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path_predict = getenv("AIP_PREDICT_ROUTE", "/predict", true);
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port = std::stoi(getenv("PORT", "8080"));
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port = std::stoi(getenv("AIP_HTTP_PORT", "8080"));
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}
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static std::string getenv(const char * name, const std::string & default_value, bool ensure_leading_slash = false) {
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@@ -82,15 +82,20 @@ struct vertexai_params {
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};
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bool server_http_context::init(const common_params & params) {
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const vertexai_params vai;
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const gcp_params gcp;
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path_prefix = params.api_prefix;
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port = params.port;
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hostname = params.hostname;
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if (vai.enabled) {
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LOG_INF("%s: Vertex AI compat: health route = %s, predict route = %s, port = %d\n", __func__, vai.path_health.c_str(), vai.path_predict.c_str(), vai.port);
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port = vai.port;
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if (gcp.enabled) {
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LOG_INF("%s: Google Cloud Platform compat: health route = %s, predict route = %s, port = %d\n", __func__, gcp.path_health.c_str(), gcp.path_predict.c_str(), gcp.port);
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if (port != gcp.port) {
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LOG_WRN("%s: Google Cloud Platform compat: overriding server port %d with AIP_HTTP_PORT %d\n", __func__, port, gcp.port);
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}
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port = gcp.port;
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}
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auto & srv = pimpl->srv;
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@@ -527,7 +532,7 @@ void server_http_context::post(const std::string & path, const server_http_conte
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// Derives the camelCase @requestFormat alias for a registered path.
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// e.g. "/v1/chat/completions" -> "chatCompletions", "/apply-template" -> "applyTemplate"
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static std::string path_to_vertexai_format(const std::string & path) {
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static std::string path_to_gcp_format(const std::string & path) {
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std::string s = path;
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if (s.size() > 3 && s[0] == '/' && s[1] == 'v' && s[2] == '1') {
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s = s.substr(3);
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@@ -549,7 +554,7 @@ static std::string path_to_vertexai_format(const std::string & path) {
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return result;
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}
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static json parse_vertexai_predict_response(const server_http_res_ptr & res) {
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static json parse_gcp_predict_response(const server_http_res_ptr & res) {
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if (res == nullptr) {
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throw std::runtime_error("empty response from internal handler");
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}
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@@ -566,11 +571,11 @@ static json parse_vertexai_predict_response(const server_http_res_ptr & res) {
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}
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}
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void server_http_context::register_vertexai() {
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const vertexai_params vai;
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void server_http_context::register_gcp_compat() {
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const gcp_params gcp;
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if (handlers.count(vai.path_predict)) {
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LOG_ERR("%s: AIP_PREDICT_ROUTE=%s conflicts with an existing llama-server route\n", __func__, vai.path_predict.c_str());
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if (handlers.count(gcp.path_predict)) {
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LOG_ERR("%s: AIP_PREDICT_ROUTE=%s conflicts with an existing llama-server route\n", __func__, gcp.path_predict.c_str());
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exit(1);
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}
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@@ -578,16 +583,16 @@ void server_http_context::register_vertexai() {
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// e.g. "chatCompletions" -> "/v1/chat/completions"
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std::unordered_map<std::string, std::string> alias_to_path;
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for (const auto & [path, _] : handlers) {
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alias_to_path.emplace(path_to_vertexai_format(path), path);
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alias_to_path.emplace(path_to_gcp_format(path), path);
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}
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if (!vai.path_health.empty()) {
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if (!gcp.path_health.empty()) {
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auto health_handler = handlers.find("/health");
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GGML_ASSERT(health_handler != handlers.end());
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get(vai.path_health, health_handler->second);
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get(gcp.path_health, health_handler->second);
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}
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post(vai.path_predict, [this, alias_to_path = std::move(alias_to_path)](const server_http_req & req) -> server_http_res_ptr {
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post(gcp.path_predict, [this, alias_to_path = std::move(alias_to_path)](const server_http_req & req) -> server_http_res_ptr {
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static const auto build_error = [](const std::string & message, error_type type = ERROR_TYPE_INVALID_REQUEST) -> json {
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return json {{"error", format_error_response(message, type)}};
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};
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@@ -667,7 +672,7 @@ void server_http_context::register_vertexai() {
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};
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server_http_res_ptr internal_res = handlers.at(dispatch_path)(internal_req);
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return parse_vertexai_predict_response(internal_res);
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return parse_gcp_predict_response(internal_res);
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} catch (const std::invalid_argument & e) {
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return build_error(e.what());
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} catch (const std::exception & e) {
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@@ -85,9 +85,9 @@ struct server_http_context {
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void get(const std::string & path, const handler_t & handler) const;
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void post(const std::string & path, const handler_t & handler) const;
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// Register the Vertex AI Prediction protocol endpoint (AIP_PREDICT_ROUTE env var, or /predict)
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// Must be called AFTER all other routes are registered
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void register_vertexai();
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// Register the Google Cloud Platform (Vertex AI) compat (AIP_PREDICT_ROUTE env var, or /predict)
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// Must be called AFTER all other API routes are registered
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void register_gcp_compat();
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// for debugging
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std::string listening_address;
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@@ -205,8 +205,8 @@ int main(int argc, char ** argv) {
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ctx_http.get ("/slots", ex_wrapper(routes.get_slots));
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ctx_http.post("/slots/:id_slot", ex_wrapper(routes.post_slots));
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// Vertex AI Prediction protocol endpoint (AIP_PREDICT_ROUTE, or /predict by default)
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ctx_http.register_vertexai();
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// Google Cloud Platform (Vertex AI) compat
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ctx_http.register_gcp_compat();
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// CORS proxy (EXPERIMENTAL, only used by the Web UI for MCP)
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if (params.webui_mcp_proxy) {
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