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

57 lines
1.7 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
import logging
import os
from agent_framework import Agent, ToolTypes
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()
logger = logging.getLogger(__name__)
def main():
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
credential=DefaultAzureCredential(),
)
github_pat = os.environ["GITHUB_PAT"]
tools: list[ToolTypes] = []
if not github_pat:
logger.warning("GITHUB_PAT environment variable is not set. The GitHub MCP tool will not get registered.")
else:
tools.append(
client.get_mcp_tool(
name="GitHub",
url="https://api.githubcopilot.com/mcp/",
headers={
"Authorization": f"Bearer {github_pat}",
},
approval_mode="never_require",
)
)
agent = Agent(
client=client,
instructions="You are a friendly assistant. Keep your answers brief.",
tools=tools,
# 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()