import urllib3
import os

model_id = ""
# Read secrets from environment variables
baseten_api_key = os.environ["BASETEN_API_KEY"]

resp = urllib3.request(
    "POST",
    f"https://model-{model_id}.api.baseten.co/production/predict",
    headers={"Authorization": f"Api-Key {baseten_api_key}"},
    json={}, # JSON-serializable model input
)

print(resp.json())
// JSON-serializable output varies by model
{}

Use this endpoint to call the production deployment of your model.

https://model-{model_id}.api.baseten.co/production/predict

Parameters

Model ID
string
required

The ID of the model you want to call.

Authorization
string
required

Your Baseten API key, formatted with prefix Api-Key (e.g. {"Authorization": "Api-Key abcd1234.abcd1234"}).

Body

Model input
json
required

JSON-serializable model input.

import urllib3
import os

model_id = ""
# Read secrets from environment variables
baseten_api_key = os.environ["BASETEN_API_KEY"]

resp = urllib3.request(
    "POST",
    f"https://model-{model_id}.api.baseten.co/production/predict",
    headers={"Authorization": f"Api-Key {baseten_api_key}"},
    json={}, # JSON-serializable model input
)

print(resp.json())
// JSON-serializable output varies by model
{}