Commissioned
API

Models Endpoint

List your fine-tuned models via the API.

Endpoint

GET /v1/models

Request

from openai import OpenAI

client = OpenAI(
    base_url="https://app.commissioned.tech/v1",
    api_key="your-api-key",
)

models = client.models.list()
for model in models.data:
    print(model.id)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://app.commissioned.tech/v1",
  apiKey: "your-api-key",
});

const models = await client.models.list();
for (const model of models.data) {
  console.log(model.id);
}
curl https://app.commissioned.tech/v1/models \
  -H "Authorization: Bearer your-api-key"

Response

{
  "object": "list",
  "data": [
    {
      "id": "ft:gpt-4.1-mini:abc123",
      "object": "model",
      "owned_by": "user"
    },
    {
      "id": "ft:gemini-2.5-flash:def456",
      "object": "model",
      "owned_by": "user"
    }
  ]
}

Only models with Succeeded status are returned. Models that are still training, queued, or failed won't appear in this list.

Using model IDs

The id from this response is what you pass as the model parameter to chat completions:

# List models and use the first one
models = client.models.list()
model_id = models.data[0].id

response = client.chat.completions.create(
    model=model_id,
    messages=[{"role": "user", "content": "Hello!"}],
)

Chat Completions

Send messages to your fine-tuned models via the chat completions endpoint.

SDKs & Libraries

Use Commissioned with popular AI SDKs and frameworks.

On this page

Endpoint
Request
Response
Using model IDs