Documentation Index
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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.
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
Request examples
import openai
client = openai.OpenAI(
# The custom base URL points to Serverless Inference
base_url='https://api.inference.wandb.ai/v1',
# Create an API key at https://wandb.ai/settings
# 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)
curl https://api.inference.wandb.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <your-api-key>" \
-H "OpenAI-Project: <your-team>/<your-project>" \
-d '{
"model": "<model-id>",
"messages": [
{ "role": "system", "content": "You are a helpful assistant." },
{ "role": "user", "content": "Tell me a joke." }
]
}'
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
}
}