Chat Completion

POSThttps://zylai-a779.zyllion.network/v1/chat/completions

info

Feel free to use the Zyllion2025 as a test Bearer Token

Generate a chat completion response from the AI model.

• req: Chat completion request containing messages and model specifications

• user: Authenticated user information (through HTTP Bearer header)

• Returns: Full chat response with model output, usage statistics, and cryptographic signature

Request Requirements​

• Must include non-empty list of messages

• Must specify a model

• Supports multiple message formats (system, user, assistant)

Response Components​

• Model-generated text completion

• Token usage metrics

• Cryptographically signed response for verification

Processing Steps​

1. Validate input request parameters

2. Prepare messages for model processing

3. Generate AI model response

4. Track and update token usage

5. Cryptographically sign the response

Potential HTTP Errors​

• 400 Bad Request:

  • Missing messages list

  • No model specified

• 500 Internal Server Error:

  • Model fails to generate a response

Request​

• application/json

Responses​

• 200

• 422

Successful Response

• application/json

• Schema

• curl

• dart

• go

• http

• java

• javascript

• kotlin

• c

• nodejs

• objective-c

• ocaml

• php

• powershell

• python

• r

• ruby

• rust

• shell

• swift

• HTTPCLIENT

• RESTSHARP

var client = new HttpClient();
var request = new HttpRequestMessage(HttpMethod.Post, "https://zylai-a779.zyllion.network/v1/chat/completions");
request.Headers.Add("Accept", "application/json");
request.Headers.Add("Authorization", "Bearer <TOKEN>");
var content = new StringContent("{\n  \"model\": \"meta-llama/Llama-3.1-8B-Instruct\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a helpful assistant\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": \"What is your name?\"\n    }\n  ],\n  \"temperature\": 0.2,\n  \"top_p\": 0.95,\n  \"max_tokens\": 2048,\n  \"stream\": false,\n  \"zylrag\": {}\n}", null, "application/json");
request.Content = content;
var response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
Console.WriteLine(await response.Content.ReadAsStringAsync());

RequestCollapse all

Send API RequestResponseClear

Click the Send API Request button above and see the response here!