Safetensors
GGUF
Turkish
llama
Llama-3
instruct
finetune
chatml
gpt4
synthetic data
distillation
function calling
json mode
axolotl
roleplaying
chat
Instructions to use tda45/TdAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use tda45/TdAI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="tda45/TdAI", filename="llama.cpp/models/ggml-vocab-aquila.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tda45/TdAI with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./llama-cli -hf tda45/TdAI
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./build/bin/llama-cli -hf tda45/TdAI
Use Docker
docker model run hf.co/tda45/TdAI
- LM Studio
- Jan
- Ollama
How to use tda45/TdAI with Ollama:
ollama run hf.co/tda45/TdAI
- Unsloth Studio
How to use tda45/TdAI with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for tda45/TdAI to start chatting
- Atomic Chat new
- Docker Model Runner
How to use tda45/TdAI with Docker Model Runner:
docker model run hf.co/tda45/TdAI
- Lemonade
How to use tda45/TdAI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tda45/TdAI
Run and chat with the model
lemonade run user.TdAI-{{QUANT_TAG}}List all available models
lemonade list
File size: 32,600 Bytes
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#include "http.h"
#include "server-http.h"
#include "server-stream.h"
#include "server-common.h"
#include "ui.h"
#include <cpp-httplib/httplib.h>
#include <functional>
#include <future>
#include <memory>
#include <string>
#include <thread>
//
// HTTP implementation using cpp-httplib
//
class server_http_context::Impl {
public:
std::unique_ptr<httplib::Server> srv;
};
server_http_context::server_http_context()
: pimpl(std::make_unique<Impl>())
{}
server_http_context::~server_http_context() = default;
static void log_server_request(const httplib::Request & req, const httplib::Response & res) {
// skip logging requests that are regularly sent, to avoid log spam
if (req.path == "/health"
|| req.path == "/v1/health"
|| req.path == "/models"
|| req.path == "/v1/models"
|| req.path == "/props"
|| req.path == "/metrics"
) {
return;
}
// reminder: this function is not covered by httplib's exception handler; if someone does more complicated stuff, think about wrapping it in try-catch
SRV_TRC("done request: %s %s %s %d\n", req.method.c_str(), req.path.c_str(), req.remote_addr.c_str(), res.status);
SRV_DBG("request: %s\n", req.body.c_str());
SRV_DBG("response: %s\n", res.body.c_str());
}
// For Google Cloud Platform deployment compatibility
struct gcp_params {
bool enabled;
std::string path_health;
std::string path_predict;
int port;
// Ref: https://docs.cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables
gcp_params() {
enabled = getenv("AIP_MODE", "") == "PREDICTION";
path_health = getenv("AIP_HEALTH_ROUTE", "", true); // default: using the route defined in server.cpp
path_predict = getenv("AIP_PREDICT_ROUTE", "/predict", true);
port = std::stoi(getenv("AIP_HTTP_PORT", "8080"));
}
static std::string getenv(const char * name, const std::string & default_value, bool ensure_leading_slash = false) {
const auto * value = std::getenv(name);
if (value == nullptr || value[0] == '\0') {
return default_value;
}
std::string val = value;
if (ensure_leading_slash && !val.empty() && val[0] != '/') {
val.insert(val.begin(), '/');
}
return val;
}
};
bool server_http_context::init(const common_params & params) {
const gcp_params gcp;
path_prefix = params.api_prefix;
port = params.port;
hostname = params.hostname;
if (gcp.enabled) {
SRV_TRC("Google Cloud Platform compat: health route = %s, predict route = %s, port = %d\n", gcp.path_health.c_str(), gcp.path_predict.c_str(), gcp.port);
if (port != gcp.port) {
SRV_WRN("Google Cloud Platform compat: overriding server port %d with AIP_HTTP_PORT %d\n", port, gcp.port);
}
port = gcp.port;
}
auto & srv = pimpl->srv;
#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
if (!params.ssl_file_key.empty() && !params.ssl_file_cert.empty()) {
SRV_TRC("running with SSL: key = %s, cert = %s\n", params.ssl_file_key.c_str(), params.ssl_file_cert.c_str());
srv = std::make_unique<httplib::SSLServer>(
params.ssl_file_cert.c_str(), params.ssl_file_key.c_str()
);
is_ssl = true;
} else {
SRV_TRC("%s", "running without SSL\n");
srv = std::make_unique<httplib::Server>();
}
#else
if (params.ssl_file_key != "" && params.ssl_file_cert != "") {
SRV_ERR("%s", "the server is built without SSL support\n");
return false;
}
srv.reset(new httplib::Server());
#endif
srv->set_default_headers({{"Server", "llama.cpp"}});
// srv->set_logger(log_server_request); // TODO @ngxson : this is too spamy, no very useful; improve it in the future
srv->set_exception_handler([](const httplib::Request &, httplib::Response & res, const std::exception_ptr & ep) {
// this is fail-safe; exceptions should already handled by `ex_wrapper`
std::string message;
try {
std::rethrow_exception(ep);
} catch (const std::exception & e) {
message = e.what();
} catch (...) {
message = "Unknown Exception";
}
res.status = 500;
res.set_content(message, "text/plain");
SRV_ERR("got exception: %s\n", message.c_str());
});
srv->set_error_handler([](const httplib::Request &, httplib::Response & res) {
if (res.status == 404) {
res.set_content(
safe_json_to_str(json {
{"error", {
{"message", "File Not Found"},
{"type", "not_found_error"},
{"code", 404}
}}
}),
"application/json; charset=utf-8"
);
}
// for other error codes, we skip processing here because it's already done by res->error()
});
// set timeouts and change hostname and port
srv->set_read_timeout (params.timeout_read);
srv->set_write_timeout(params.timeout_write);
srv->set_socket_options([reuse_port = params.reuse_port](const socket_t sock) {
httplib::set_socket_opt(sock, SOL_SOCKET, SO_REUSEADDR, 1);
if (reuse_port) {
#ifdef SO_REUSEPORT
httplib::set_socket_opt(sock, SOL_SOCKET, SO_REUSEPORT, 1);
#else
SRV_WRN("%s", "SO_REUSEPORT is not supported\n");
#endif
}
});
if (params.api_keys.size() == 1) {
const auto key = params.api_keys[0];
const std::string substr = key.substr(std::max(static_cast<int>(key.length() - 4), 0));
SRV_TRC("api_keys: ****%s\n", substr.c_str());
} else if (params.api_keys.size() > 1) {
SRV_TRC("api_keys: %zu keys loaded\n", params.api_keys.size());
}
//
// Middlewares
//
// Public endpoints - API routes plus all embedded UI assets
static const std::unordered_set<std::string> get_public_endpoints = []() {
std::unordered_set<std::string> endpoints {
"/health",
"/v1/health",
"/models",
"/v1/models",
"/",
};
for (const llama_ui_asset & a : llama_ui_get_assets()) {
endpoints.insert("/" + a.name);
}
return endpoints;
}();
auto middleware_validate_api_key = [api_keys = params.api_keys](const httplib::Request & req, httplib::Response & res) {
// If API key is not set, skip validation
if (api_keys.empty()) {
return true;
}
// If path is public or a UI asset, skip validation
if (get_public_endpoints.count(req.path)) {
return true;
}
// Check for API key in the Authorization header
std::string req_api_key = req.get_header_value("Authorization");
if (req_api_key.empty()) {
// retry with anthropic header
req_api_key = req.get_header_value("X-Api-Key");
}
// remove the "Bearer " prefix if needed
static std::string prefix = "Bearer ";
if (req_api_key.substr(0, prefix.size()) == prefix) {
req_api_key = req_api_key.substr(prefix.size());
}
// validate the API key
if (std::find(api_keys.begin(), api_keys.end(), req_api_key) != api_keys.end()) {
return true; // API key is valid
}
// API key is invalid or not provided
res.status = 401;
res.set_content(
safe_json_to_str(json {
{"error", {
{"message", "Invalid API Key"},
{"type", "authentication_error"},
{"code", 401}
}}
}),
"application/json; charset=utf-8"
);
SRV_WRN("%s", "unauthorized: Invalid API Key\n");
return false;
};
auto middleware_server_state = [this](const httplib::Request & req, httplib::Response & res) {
if (!is_ready.load()) {
#if defined(LLAMA_UI_HAS_ASSETS)
if (const auto tmp = string_split<std::string>(req.path, '.');
req.path == "/" || (!tmp.empty() && tmp.back() == "html")) {
if (const llama_ui_asset * a = llama_ui_find_asset("loading.html")) {
res.status = 503;
res.set_content(reinterpret_cast<const char*>(a->data), a->size, "text/html; charset=utf-8");
return false;
}
}
#else
(void)req;
#endif
// no endpoints are allowed to be accessed when the server is not ready
// this is to prevent any data races or inconsistent states
res.status = 503;
res.set_content(
safe_json_to_str(json {
{"error", {
{"message", "Loading model"},
{"type", "unavailable_error"},
{"code", 503}
}}
}),
"application/json; charset=utf-8"
);
return false;
}
return true;
};
// register server middlewares
srv->set_pre_routing_handler([middleware_validate_api_key, middleware_server_state](const httplib::Request & req, httplib::Response & res) {
res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
// If this is OPTIONS request, skip validation because browsers don't include Authorization header
if (req.method == "OPTIONS") {
res.set_header("Access-Control-Allow-Credentials", "true");
res.set_header("Access-Control-Allow-Methods", "GET, POST");
res.set_header("Access-Control-Allow-Headers", "*");
res.set_content("", "text/html"); // blank response, no data
return httplib::Server::HandlerResponse::Handled; // skip further processing
}
if (!middleware_server_state(req, res)) {
return httplib::Server::HandlerResponse::Handled;
}
if (!middleware_validate_api_key(req, res)) {
return httplib::Server::HandlerResponse::Handled;
}
return httplib::Server::HandlerResponse::Unhandled;
});
auto n_threads_http = params.n_threads_http;
if (n_threads_http < 1) {
// +4 threads for monitoring, health and some threads reserved for MCP and other tasks in the future
n_threads_http = std::max(params.n_parallel + 4, static_cast<int32_t>(std::thread::hardware_concurrency() - 1));
}
SRV_TRC("using %d threads for HTTP server\n", n_threads_http);
srv->new_task_queue = [n_threads_http] {
// spawn n_threads_http fixed thread (always alive), while allow up to 1024 max possible additional threads
// when n_threads_http is used, server will create new "dynamic" threads that will be destroyed after processing each request
// ref: https://github.com/yhirose/cpp-httplib/pull/2368
const auto max_threads = static_cast<size_t>(n_threads_http + 1024);
return new httplib::ThreadPool(n_threads_http, max_threads);
};
//
// Web UI setup
//
// Use new `params.ui` field (backed by old `params.webui` for compat)
if (!params.ui) {
SRV_INF("%s", "The UI is disabled\n");
SRV_INF("%s", "Use --ui/--no-ui (or deprecated --webui/--no-webui) to enable/disable\n");
} else {
// register static assets routes
if (!params.public_path.empty()) {
// Set the base directory for serving static files
if (const auto is_found = srv->set_mount_point(params.api_prefix + "/", params.public_path); !is_found) {
SRV_ERR("static assets path not found: %s\n", params.public_path.c_str());
return false;
}
} else {
#if defined(LLAMA_UI_HAS_ASSETS)
static auto handle_gzip_header = [](const httplib::Request & req, httplib::Response & res) {
if (!llama_ui_use_gzip()) {
// no gzip build, skip
return true;
}
if (req.get_header_value("Accept-Encoding").find("gzip") == std::string::npos) {
res.status = 415; // unsupported media type
res.set_content("Error: gzip is not supported by this browser", "text/plain");
return false;
} else {
res.set_header("Content-Encoding", "gzip");
}
return true;
};
auto serve_asset_cached = [](const std::string & name, bool isolation) {
return [name, isolation](const httplib::Request & req, httplib::Response & res) {
if (!handle_gzip_header(req, res)) {
return true; // returns error message
}
const llama_ui_asset * a = llama_ui_find_asset(name);
if (!a) { res.status = 404; return false; }
res.set_header("ETag", a->etag);
if (const std::string & inm = req.get_header_value("If-None-Match");
!inm.empty() && (inm == a->etag || inm == std::string("W/") + a->etag)) {
res.status = 304;
return false;
}
if (isolation) {
res.set_header("Cross-Origin-Embedder-Policy", "require-corp");
res.set_header("Cross-Origin-Opener-Policy", "same-origin");
}
res.set_header("Cache-Control", "public, max-age=31536000, immutable");
res.set_content(reinterpret_cast<const char*>(a->data), a->size, a->type.c_str());
return false;
};
};
auto serve_asset_nocache = [](const std::string & name) {
return [name](const httplib::Request & req, httplib::Response & res) {
if (!handle_gzip_header(req, res)) {
return true; // returns error message
}
const llama_ui_asset * a = llama_ui_find_asset(name);
if (!a) {
res.status = 404;
return false;
}
res.set_header("Cache-Control", "no-cache");
res.set_content(reinterpret_cast<const char*>(a->data), a->size, a->type.c_str());
return false;
};
};
// main index file
srv->Get(params.api_prefix + "/", serve_asset_cached("index.html", true));
srv->Get(params.api_prefix + "/index.html", serve_asset_cached("index.html", true));
// All remaining assets registered directly from the embedded asset table.
// PWA revalidation files (sw.js, manifest, version.json) use no-cache;
// everything else is immutable.
static const std::unordered_set<std::string> no_cache_names = {
"sw.js",
"manifest.webmanifest",
"_app/version.json",
"build.json"
};
for (const auto & a : llama_ui_get_assets()) {
if (a.name == "index.html") continue; // served at "/" and "/index.html" above
if (no_cache_names.count(a.name)) {
SRV_DBG("serve nocache for %s\n", a.name.c_str());
srv->Get(params.api_prefix + "/" + a.name, serve_asset_nocache(a.name));
} else {
srv->Get(params.api_prefix + "/" + a.name, serve_asset_cached(a.name, false));
}
}
#endif
}
}
return true;
}
bool server_http_context::start() {
// Bind and listen
const auto & srv = pimpl->srv;
auto was_bound = false;
auto is_sock = false;
if (string_ends_with(std::string(hostname), ".sock")) {
is_sock = true;
SRV_TRC("%s", "setting address family to AF_UNIX\n");
srv->set_address_family(AF_UNIX);
// bind_to_port requires a second arg, any value other than 0 should
// simply get ignored
was_bound = srv->bind_to_port(hostname, 8080);
} else {
SRV_TRC("%s", "binding port with default address family\n");
// bind HTTP listen port
if (port == 0) {
const auto bound_port = srv->bind_to_any_port(hostname);
was_bound = (bound_port >= 0);
if (was_bound) {
port = bound_port;
}
} else {
was_bound = srv->bind_to_port(hostname, port);
}
}
if (!was_bound) {
SRV_ERR("couldn't bind HTTP server socket, hostname: %s, port: %d\n", hostname.c_str(), port);
return false;
}
// run the HTTP server in a thread
thread = std::thread([this] { pimpl->srv->listen_after_bind(); });
srv->wait_until_ready();
listening_address = is_sock ? string_format("unix://%s", hostname.c_str())
: string_format("%s://%s:%d", is_ssl ? "https" : "http", common_http_format_host(hostname).c_str(), port);
return true;
}
void server_http_context::stop() const {
if (pimpl->srv) {
pimpl->srv->stop();
}
}
static void set_headers(httplib::Response & res, const std::map<std::string, std::string> & headers) {
for (const auto & [key, value] : headers) {
res.set_header(key, value);
}
}
// percent-decode a path component (%XX). path params arrive raw from httplib, unlike query
// params, so a conv id like "conv::model" sent as "conv%3A%3Amodel" must be decoded here to
// match the value the client put in the X-Conversation-Id header
static std::string decode_path_component(const std::string & in) {
std::string out;
out.reserve(in.size());
for (size_t i = 0; i < in.size(); i++) {
if (in[i] == '%' && i + 2 < in.size()) {
auto hex = [](char c) -> int {
if (c >= '0' && c <= '9') return c - '0';
if (c >= 'a' && c <= 'f') return c - 'a' + 10;
if (c >= 'A' && c <= 'F') return c - 'A' + 10;
return -1;
};
int hi = hex(in[i + 1]);
int lo = hex(in[i + 2]);
if (hi >= 0 && lo >= 0) {
out.push_back(char((hi << 4) | lo));
i += 2;
continue;
}
}
out.push_back(in[i]);
}
return out;
}
static std::map<std::string, std::string> get_params(const httplib::Request & req) {
std::map<std::string, std::string> params;
for (const auto & [key, value] : req.params) {
params[key] = value;
}
for (const auto & [key, value] : req.path_params) {
params[key] = decode_path_component(value);
}
return params;
}
static std::map<std::string, std::string> get_headers(const httplib::Request & req) {
std::map<std::string, std::string> headers;
for (const auto & [key, value] : req.headers) {
headers[key] = value;
}
return headers;
}
static std::string build_query_string(const httplib::Request & req) {
std::string qs;
for (const auto & [key, value] : req.params) {
if (!qs.empty()) {
qs += '&';
}
qs += httplib::encode_query_component(key) + "=" + httplib::encode_query_component(value);
}
return qs;
}
// using unique_ptr for request to allow safe capturing in lambdas
using server_http_req_ptr = std::unique_ptr<server_http_req>;
static void process_handler_response(server_http_req_ptr && request, server_http_res_ptr & response, httplib::Response & res) {
if (response->is_stream()) {
res.status = response->status;
// Tell Nginx to not buffer any streamed response
response->headers["X-Accel-Buffering"] = "no";
set_headers(res, response->headers);
const std::string content_type = response->content_type;
// convert to shared_ptr as both chunked_content_provider() and on_complete() need to use it
std::shared_ptr<server_http_req> q_ptr = std::move(request);
std::shared_ptr<server_http_res> r_ptr = std::move(response);
const auto chunked_content_provider = [response = r_ptr](size_t, httplib::DataSink & sink) -> bool {
std::string chunk;
const bool has_next = response->next(chunk);
if (!chunk.empty()) {
// mirror into the ring buffer first, the session must reflect every SSE chunk
// whether or not the wire write below succeeds
if (response->spipe) {
response->spipe->write(chunk.data(), chunk.size());
}
if (!sink.write(chunk.data(), chunk.size())) {
// peer is gone, stop the wire path here
return false;
}
SRV_DBG("http: streamed chunk: %s\n", chunk.c_str());
}
if (!has_next) {
// producer reached its natural end on the wire, a later close() skips the drain
if (response->spipe) {
response->spipe->done();
}
sink.done();
SRV_DBG("%s", "http: stream ended\n");
}
return has_next;
};
const auto on_complete = [request = q_ptr, response = r_ptr](bool) mutable {
// on a dropped peer, close() drains the rest of the generation into the ring buffer
if (response->spipe) {
response->spipe->close();
}
response.reset(); // spipe destructor finalizes the session if attached
request.reset();
};
res.set_chunked_content_provider(content_type, chunked_content_provider, on_complete);
} else {
res.status = response->status;
set_headers(res, response->headers);
res.set_content(response->data, response->content_type);
}
}
void server_http_context::get(const std::string & path, const server_http_context::handler_t & handler) const {
handlers.emplace(path, handler);
pimpl->srv->Get(path_prefix + path, [handler](const httplib::Request & req, httplib::Response & res) {
server_http_req_ptr request = std::make_unique<server_http_req>(server_http_req{
get_params(req),
get_headers(req),
req.path,
build_query_string(req),
req.body,
{},
req.is_connection_closed
});
server_http_res_ptr response = handler(*request);
process_handler_response(std::move(request), response, res);
});
}
void server_http_context::post(const std::string & path, const server_http_context::handler_t & handler) const {
handlers.emplace(path, handler);
pimpl->srv->Post(path_prefix + path, [handler](const httplib::Request & req, httplib::Response & res) {
std::string body = req.body;
std::map<std::string, uploaded_file> files;
if (req.is_multipart_form_data()) {
// translate text fields to a JSON object and use it as the body
json form_json = json::object();
for (const auto & [key, field] : req.form.fields) {
if (form_json.contains(key)) {
// if the key already exists, convert it to an array
if (!form_json[key].is_array()) {
json existing_value = form_json[key];
form_json[key] = json::array({existing_value});
}
form_json[key].push_back(field.content);
} else {
form_json[key] = field.content;
}
}
body = form_json.dump();
// populate files from multipart form
for (const auto & [key, file] : req.form.files) {
files[key] = uploaded_file{
raw_buffer(file.content.begin(), file.content.end()),
file.filename,
file.content_type,
};
}
}
server_http_req_ptr request = std::make_unique<server_http_req>(server_http_req{
get_params(req),
get_headers(req),
req.path,
build_query_string(req),
body,
std::move(files),
req.is_connection_closed
});
server_http_res_ptr response = handler(*request);
process_handler_response(std::move(request), response, res);
});
}
void server_http_context::del(const std::string & path, const server_http_context::handler_t & handler) const {
handlers.emplace(path, handler);
pimpl->srv->Delete(path_prefix + path, [handler](const httplib::Request & req, httplib::Response & res) {
server_http_req_ptr request = std::make_unique<server_http_req>(server_http_req{
get_params(req),
get_headers(req),
req.path,
build_query_string(req),
req.body,
{},
req.is_connection_closed
});
server_http_res_ptr response = handler(*request);
process_handler_response(std::move(request), response, res);
});
}
//
// Vertex AI Prediction protocol (AIP_PREDICT_ROUTE)
// https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements
//
// Derives the camelCase @requestFormat alias for a registered path.
// e.g. "/v1/chat/completions" -> "chatCompletions", "/apply-template" -> "applyTemplate"
static std::string path_to_gcp_format(const std::string & path) {
std::string s = path;
if (s.size() > 3 && s[0] == '/' && s[1] == 'v' && s[2] == '1') {
s = s.substr(3);
}
if (!s.empty() && s[0] == '/') {
s = s.substr(1);
}
std::string result;
bool cap = false;
for (unsigned char c : s) {
if (c == ':') break; // stop before path parameters
if (c == '/' || c == '-' || c == '_') {
cap = true;
} else {
result += static_cast<char>(cap ? std::toupper(c) : c);
cap = false;
}
}
return result;
}
static json parse_gcp_predict_response(const server_http_res_ptr & res) {
if (res == nullptr) {
throw std::runtime_error("empty response from internal handler");
}
if (res->is_stream()) {
throw std::invalid_argument("predict route does not support streaming responses");
}
if (res->data.empty()) {
return nullptr;
}
try {
return json::parse(res->data);
} catch (...) {
return res->data;
}
}
void server_http_context::register_gcp_compat() const {
const gcp_params gcp;
if (!gcp.enabled) {
// do nothing
return;
}
if (handlers.count(gcp.path_predict)) {
SRV_ERR("AIP_PREDICT_ROUTE=%s conflicts with an existing llama-server route\n", gcp.path_predict.c_str());
exit(1);
}
// camelCase alias -> canonical path (first registration wins on collision)
// e.g. "chatCompletions" -> "/v1/chat/completions"
std::unordered_map<std::string, std::string> alias_to_path;
for (const auto & [path, _] : handlers) {
alias_to_path.emplace(path_to_gcp_format(path), path);
}
if (!gcp.path_health.empty()) {
const auto health_handler = handlers.find("/health");
GGML_ASSERT(health_handler != handlers.end());
get(gcp.path_health, health_handler->second);
}
post(gcp.path_predict, [this, alias_to_path = std::move(alias_to_path)](const server_http_req & req) -> server_http_res_ptr {
static const auto build_error = [](const std::string & message, error_type type) -> json {
return json {{"error", format_error_response(message, type)}};
};
json data;
try {
data = json::parse(req.body);
} catch (const std::exception & e) {
auto res = std::make_unique<server_http_res>();
res->status = 400;
res->data = safe_json_to_str({{"error", format_error_response(e.what(), ERROR_TYPE_INVALID_REQUEST)}});
return res;
}
if (!data.is_object()) {
auto res = std::make_unique<server_http_res>();
res->status = 400;
res->data = safe_json_to_str({{"error", format_error_response("request body must be a JSON object", ERROR_TYPE_INVALID_REQUEST)}});
return res;
}
if (!data.contains("instances") || !data.at("instances").is_array()) {
auto res = std::make_unique<server_http_res>();
res->status = 400;
res->data = safe_json_to_str({{"error", format_error_response("request body must include an array field named instances", ERROR_TYPE_INVALID_REQUEST)}});
return res;
}
const json & instances = data.at("instances");
static const size_t MAX_INSTANCES = 128;
if (instances.size() > MAX_INSTANCES) {
auto res = std::make_unique<server_http_res>();
res->status = 400;
res->data = safe_json_to_str({{"error", format_error_response("instances array exceeds maximum size of " + std::to_string(MAX_INSTANCES), ERROR_TYPE_INVALID_REQUEST)}});
return res;
}
std::vector<std::future<json>> futures;
futures.reserve(instances.size());
for (const auto & instance : instances) {
futures.push_back(std::async(std::launch::async, [this, &req, &alias_to_path, instance]() -> json {
if (!instance.is_object()) {
return build_error("each instance must be a JSON object", ERROR_TYPE_INVALID_REQUEST);
}
if (!instance.contains("@requestFormat") || !instance.at("@requestFormat").is_string()) {
return build_error("each instance must include a string @requestFormat", ERROR_TYPE_INVALID_REQUEST);
}
try {
json payload = instance;
const std::string format = payload.at("@requestFormat").get<std::string>();
payload.erase("@requestFormat");
if (payload.contains("stream")) {
SRV_WRN("%s", "ignoring client-provided stream field in instance, streaming is not supported in predict route\n");
payload["stream"] = false;
}
// accept both camelCase aliases (e.g. "chatCompletions") and direct paths
std::string dispatch_path;
auto it_alias = alias_to_path.find(format);
if (it_alias != alias_to_path.end()) {
dispatch_path = it_alias->second;
} else if (handlers.count(format)) {
dispatch_path = format;
} else {
return build_error("no handler registered for @requestFormat: " + format, ERROR_TYPE_INVALID_REQUEST);
}
const server_http_req internal_req {
req.params,
req.headers,
path_prefix + dispatch_path,
req.query_string,
payload.dump(),
{},
req.should_stop,
};
server_http_res_ptr internal_res = handlers.at(dispatch_path)(internal_req);
return parse_gcp_predict_response(internal_res);
} catch (const std::invalid_argument & e) {
return build_error(e.what(), ERROR_TYPE_INVALID_REQUEST);
} catch (const std::exception & e) {
return build_error(e.what(), ERROR_TYPE_SERVER);
} catch (...) {
return build_error("unknown error", ERROR_TYPE_SERVER);
}
}));
}
json predictions = json::array();
for (auto & future : futures) {
predictions.push_back(future.get());
}
auto res = std::make_unique<server_http_res>();
res->data = safe_json_to_str({{"predictions", predictions}});
return res;
});
}
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