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68 lines
2.1 KiB
Python
68 lines
2.1 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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"""Azure AI Agent factory for GAIA benchmark.
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This module provides a factory function to create an Azure AI agent
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configured for GAIA benchmark tasks.
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Required Environment Variables:
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FOUNDRY_PROJECT_ENDPOINT: Azure AI project endpoint URL
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FOUNDRY_MODEL: Name of the model deployment to use
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Optional Environment Variables:
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BING_CONNECTION_ID: ID of the Bing connection for web search
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Authentication:
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Uses Azure CLI credentials via AzureCliCredential.
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Run `az login` before executing to authenticate.
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Example:
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export FOUNDRY_PROJECT_ENDPOINT="https://your-project.azure.com"
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export FOUNDRY_MODEL="gpt-4o"
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export BING_CONNECTION_ID="connection-id"
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az login
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"""
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import os
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from collections.abc import AsyncIterator
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from contextlib import asynccontextmanager
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from agent_framework import Agent
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from agent_framework.foundry import FoundryChatClient
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from azure.identity.aio import AzureCliCredential
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@asynccontextmanager
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async def create_gaia_agent() -> AsyncIterator[Agent]:
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"""Create an Azure AI agent configured for GAIA benchmark tasks.
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The agent is configured with:
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- Bing Search tool for web information retrieval
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- Code Interpreter tool for calculations and data analysis
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Yields:
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Agent: A configured agent ready to run GAIA tasks.
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Example:
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async with create_gaia_agent() as agent:
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result = await agent.run("What is the capital of France?")
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print(result.text)
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"""
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async with (
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AzureCliCredential() as credential,
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FoundryChatClient(
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project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
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model=os.environ["FOUNDRY_MODEL"],
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credential=credential,
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).as_agent(
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name="GaiaAgent",
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instructions="Solve tasks to your best ability. Use Bing Search to find "
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"information and Code Interpreter to perform calculations and data analysis.",
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tools=[
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FoundryChatClient.get_web_search_tool(),
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FoundryChatClient.get_code_interpreter_tool(),
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],
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) as agent,
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):
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yield agent
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