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213491da66
* Add support for function approval flow in Foundry hosted agent * Address comments * Address comments * Address comments
75 lines
2.3 KiB
Python
75 lines
2.3 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import os
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import subprocess
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from random import randint
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from typing import Annotated
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from agent_framework import Agent, tool
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from agent_framework.foundry import FoundryChatClient
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from agent_framework_foundry_hosting import ResponsesHostServer
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from azure.identity import DefaultAzureCredential
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from dotenv import load_dotenv
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from pydantic import Field
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# Load environment variables from .env file
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load_dotenv()
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@tool(approval_mode="never_require")
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def get_weather(
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location: Annotated[str, Field(description="The location to get the weather for.")],
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) -> str:
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"""Get the weather for a given location."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
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@tool(approval_mode="always_require")
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def run_bash(command: str) -> str:
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"""Execute a shell command locally and return stdout, stderr, and exit code."""
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try:
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result = subprocess.run(
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command,
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shell=True,
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capture_output=True,
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text=True,
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timeout=30,
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)
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parts: list[str] = []
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if result.stdout:
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parts.append(result.stdout)
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if result.stderr:
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parts.append(f"stderr: {result.stderr}")
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parts.append(f"exit_code: {result.returncode}")
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return "\n".join(parts)
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except subprocess.TimeoutExpired:
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return "Command timed out after 30 seconds"
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except Exception as e:
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return f"Error executing command: {e}"
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def main():
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client = FoundryChatClient(
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project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
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model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
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credential=DefaultAzureCredential(),
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)
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agent = Agent(
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client=client,
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instructions="You are a friendly assistant. Keep your answers brief.",
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tools=[get_weather, run_bash],
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# History will be managed by the hosting infrastructure, thus there
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# is no need to store history by the service. Learn more at:
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# https://developers.openai.com/api/reference/resources/responses/methods/create
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default_options={"store": False},
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)
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server = ResponsesHostServer(agent)
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server.run()
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if __name__ == "__main__":
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main()
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