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Documentation Index

Fetch the complete documentation index at: https://docs.inference.net/llms.txt

Use this file to discover all available pages before exploring further.

Deployments expose an OpenAI-compatible chat completions endpoint. Point any OpenAI SDK client at the Inference base URL and set the model to your deployment’s model path. 
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.inference.net/v1",
  apiKey: process.env.INFERENCE_API_KEY,
});

const response = await client.chat.completions.create({
  model: "acme-corp/my-model",
  messages: [{ role: "user", content: "Hello, world!" }],
});
Structured outputs, function calling, and other chat completions features all work the same way. You can also tag requests with x-inference-task-id to group calls by objective — see Tasks for details.

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Where to find your model path

The model path is shown on your deployment’s detail page in the dashboard. It’s your team slug followed by the name you chose when creating the deployment (e.g. acme-corp/my-model).