> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.tramlabs.io/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.tramlabs.io/_mcp/server. # Tạo chat completion POST https://api.tramlabs.io/v1/chat/completions Content-Type: application/json Tạo chat completion. Tương thích hoàn toàn với [OpenAI Chat Completions API](https://platform.openai.com/docs/api-reference/chat/create). Reference: https://docs.tramlabs.io/api/endpoints/audio/chat-completions/create-chat-completion ## Authentication - `Authorization` header (bearer token, required) — API key làm bearer token. Tạo API key tại [Console](https://console.tramlabs.io/keys). ## Request ### Body (application/json) This endpoint expects a ChatCompletionRequest. - `model` (string, required) — Model ID (ví dụ: `gemini-3.5-flash`, `deepseek-v4-flash`) - `messages` (list of ChatMessage, required) — Danh sách messages - `stream` (boolean, optional, default: false) — Bật streaming (SSE) - `temperature` (double, optional) — Sampling temperature (0–2) - `max_tokens` (integer, optional) — Số token tối đa trong response - `top_p` (double, optional) — Nucleus sampling - `stop` (ChatCompletionRequestStop, optional) — Stop sequences - `tools` (list of ChatCompletionRequestToolsItems, optional) — Danh sách tools cho function calling - `response_format` (ChatCompletionRequestResponseFormat, optional) — Format response (JSON mode) ## Response ### 200 Thành công - `id` (string, optional) - `object` (string, optional) - `choices` (list of ChatCompletionResponseChoicesItems, optional) - `usage` (Usage, optional) ## Errors ### 400 Bad Request Error Request không hợp lệ - `error` (ErrorResponseError, optional) ### 401 Unauthorized Error API key không hợp lệ hoặc thiếu - `error` (ErrorResponseError, optional) ### 403 Forbidden Error Vượt budget hoặc model không được phép - `error` (ErrorResponseError, optional) ### 429 Too Many Requests Error Rate limit exceeded - `error` (ErrorResponseError, optional) ## Types ### ChatMessage - `role` (enum, required) — Vai trò của message - Allowed values: `system`, `user`, `assistant`, `tool` - `content` (string, required) — Nội dung message ### ChatCompletionRequestStop Stop sequences - string - list of string ### ChatCompletionRequestToolsItems ### ChatCompletionRequestResponseFormat Format response (JSON mode) ### ChatCompletionResponseChoicesItems - `index` (integer, optional) - `message` (ChatMessage, optional) - `finish_reason` (string, optional) ### Usage - `prompt_tokens` (integer, optional) - `completion_tokens` (integer, optional) - `total_tokens` (integer, optional) ### ErrorResponseError - `message` (string, optional) - `type` (string, optional) - `code` (string, optional) ## Examples **Request** ```json { "model": "gemini-3.5-flash", "messages": [ { "role": "system", "content": "You are a helpful assistant." }, { "role": "user", "content": "Hello!" } ] } ``` **SDK Code** ```python import requests url = "https://api.tramlabs.io/v1/chat/completions" payload = { "model": "gemini-3.5-flash", "messages": [ { "role": "system", "content": "You are a helpful assistant." }, { "role": "user", "content": "Hello!" } ] } headers = { "Authorization": "Bearer ", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json()) ``` ```javascript const url = 'https://api.tramlabs.io/v1/chat/completions'; const options = { method: 'POST', headers: {Authorization: 'Bearer ', 'Content-Type': 'application/json'}, body: '{"model":"gemini-3.5-flash","messages":[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"Hello!"}]}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); } ``` ```go package main import ( "fmt" "strings" "net/http" "io" ) func main() { url := "https://api.tramlabs.io/v1/chat/completions" payload := strings.NewReader("{\n \"model\": \"gemini-3.5-flash\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are a helpful assistant.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ]\n}") req, _ := http.NewRequest("POST", url, payload) req.Header.Add("Authorization", "Bearer ") req.Header.Add("Content-Type", "application/json") res, _ := http.DefaultClient.Do(req) defer res.Body.Close() body, _ := io.ReadAll(res.Body) fmt.Println(res) fmt.Println(string(body)) } ``` ```ruby require 'uri' require 'net/http' url = URI("https://api.tramlabs.io/v1/chat/completions") http = Net::HTTP.new(url.host, url.port) http.use_ssl = true request = Net::HTTP::Post.new(url) request["Authorization"] = 'Bearer ' request["Content-Type"] = 'application/json' request.body = "{\n \"model\": \"gemini-3.5-flash\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are a helpful assistant.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ]\n}" response = http.request(request) puts response.read_body ``` ```java import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.post("https://api.tramlabs.io/v1/chat/completions") .header("Authorization", "Bearer ") .header("Content-Type", "application/json") .body("{\n \"model\": \"gemini-3.5-flash\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are a helpful assistant.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ]\n}") .asString(); ``` ```php request('POST', 'https://api.tramlabs.io/v1/chat/completions', [ 'body' => '{ "model": "gemini-3.5-flash", "messages": [ { "role": "system", "content": "You are a helpful assistant." }, { "role": "user", "content": "Hello!" } ] }', 'headers' => [ 'Authorization' => 'Bearer ', 'Content-Type' => 'application/json', ], ]); echo $response->getBody(); ``` ```csharp using RestSharp; var client = new RestClient("https://api.tramlabs.io/v1/chat/completions"); var request = new RestRequest(Method.POST); request.AddHeader("Authorization", "Bearer "); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"model\": \"gemini-3.5-flash\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are a helpful assistant.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ]\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift import Foundation let headers = [ "Authorization": "Bearer ", "Content-Type": "application/json" ] let parameters = [ "model": "gemini-3.5-flash", "messages": [ [ "role": "system", "content": "You are a helpful assistant." ], [ "role": "user", "content": "Hello!" ] ] ] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "https://api.tramlabs.io/v1/chat/completions")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "POST" request.allHTTPHeaderFields = headers request.httpBody = postData as Data let session = URLSession.shared let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in if (error != nil) { print(error as Any) } else { let httpResponse = response as? HTTPURLResponse print(httpResponse) } }) dataTask.resume() ```