import urllib3
import os

model_id = ""
env_name = "staging"

# 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/environments/{env_name}/predict",
headers={"Authorization": f"Api-Key {baseten_api_key}"},
json={}, # JSON-serializable model input
)

print(resp.json())


{}

Use this endpoint to call the deployment associated with the specified environment.

https://model-{model_id}.api.baseten.co/environments/{env_name}/predict"

​
Parameters

​
model_id
string
required

The ID of the model you want to call.

​
env_name
string
required

The name of the model’s environment 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 = ""
env_name = "staging"

# 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/environments/{env_name}/predict",
headers={"Authorization": f"Api-Key {baseten_api_key}"},
json={}, # JSON-serializable model input
)

print(resp.json())


{}