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Create a chat completion using the /chat/completions endpoint. This endpoint follows the OpenAI format for sending messages and receiving responses.

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Requirements

To create a chat completion, provide:
  • The Inference service base URL: https://api.inference.wandb.ai/v1
  • Your W&B API key: <your-api-key>
  • Optional: Your W&B team and project: <your-team>/<your-project>
  • A model ID from the available models

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Request examples

  • Python
  • Bash
import openai

client = openai.OpenAI(
    # The custom base URL points to W&B Inference
    base_url='https://api.inference.wandb.ai/v1',

    # Get your API key from https://wandb.ai/authorize
    # Consider setting it in the environment as OPENAI_API_KEY instead for safety
    api_key="<your-api-key>",

    # Optional: Team and project for usage tracking
    project="<your-team>/<your-project>",
)

# Replace <model-id> with any model ID from the available models list
response = client.chat.completions.create(
    model="<model-id>",
    messages=[
        {"role": "system", "content": "<your-system-prompt>"},
        {"role": "user", "content": "<your-prompt>"}
    ],
)

print(response.choices[0].message.content)

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Response format

The API returns responses in OpenAI-compatible format: 
{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "created": 1234567890,
  "model": "meta-llama/Llama-3.1-8B-Instruct",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Here's a joke for you..."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 25,
    "completion_tokens": 50,
    "total_tokens": 75
  }
}
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