Clairic is a System One-style model that can extract, compute, estimate, and forecast values from inputs. It is strongly typed and outputs confidence scores and probabilities against its outputs. This model is in early research preview from the Cloudflare Workers AI team.
Provider: All Cloudflare models | Cloudflare Workers AI
https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/v1/chat/completionsInstall: pip install openai
import os
from openai import OpenAI
account_id = os.environ["CLOUDFLARE_ACCOUNT_ID"]
client = OpenAI(
api_key=os.environ["CLOUDFLARE_API_TOKEN"],
base_url=f"https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/v1",
)
response = client.chat.completions.create(
model="@cf/cloudflare/clairic",
messages=[
{"role": "user", "content": "Hello, how are you?"},
],
max_tokens=1024,
)
print(response.choices[0].message.content)Additional examples: Basic invoke, REST API (any task)
| Parameter | Type | Description |
|---|---|---|
| max_tokens | integer | Maximum tokens to generate. (≥1) |
| temperature | float | Controls randomness. Supported range varies by model. (≥0) |
| stream | boolean | Stream response chunks as they are generated. Default: false. |
Call text generation and embedding models with OpenAI-compatible client libraries using the account-scoped Workers AI base URL.
Run any Workers AI model, including image, speech, and embedding models, through the account-scoped /ai/run endpoint.
List available models, tasks, and per-model properties with the Workers AI models search API.