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chore: import upstream snapshot with attribution
2026-07-13 13:39:25 +08:00

37 lines
1.1 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
import os
from agent_framework import Agent
from agent_framework.foundry import FoundryChatClient
from agent_framework_foundry_hosting import ResponsesHostServer
from azure.identity import DefaultAzureCredential
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
def main():
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
credential=DefaultAzureCredential(),
)
agent = Agent(
client=client,
instructions="You are a friendly assistant. Keep your answers brief.",
# History will be managed by the hosting infrastructure, thus there
# is no need to store history by the service. Learn more at:
# https://developers.openai.com/api/reference/resources/responses/methods/create
default_options={"store": False},
)
server = ResponsesHostServer(agent)
server.run()
if __name__ == "__main__":
main()