aml-endpoint-test.py

import urllib.request
import json

# Request data goes here
# The example below assumes JSON formatting which may be updated
# depending on the format your endpoint expects.
# More information can be found here:
# https://docs.microsoft.com/azure/machine-learning/how-to-deploy-advanced-entry-script
data = {
    "topic": "test",
    "thread_id": "test_thread1"
}

body = str.encode(json.dumps(data))

url = 'https://pf-ai-agent-endpoint-1.westus3.inference.ml.azure.com/score'
# Replace this with the primary/secondary key, AMLToken, or Microsoft Entra ID token for the endpoint
api_key = ''
if not api_key:
    raise Exception("A key should be provided to invoke the endpoint")


headers = {'Content-Type':'application/json', 'Accept': 'application/json', 'Authorization':('Bearer '+ api_key), 'azureml-model-deployment' : 'blue19'}

req = urllib.request.Request(url, body, headers)

try:
    response = urllib.request.urlopen(req)

    result = response.read()
    print(result)
except urllib.error.HTTPError as error:
    print("The request failed with status code: " + str(error.code))

    # Print the headers - they include the requert ID and the timestamp, which are useful for debugging the failure
    print(error.info())
    print(error.read().decode("utf8", 'ignore'))