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Dmytro Struk
66 lines
2.2 KiB
Python
66 lines
2.2 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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AZURE_AI_PROJECT_ENDPOINT: Azure AI project endpoint URL
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AZURE_AI_MODEL_DEPLOYMENT_NAME: 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 AZURE_AI_PROJECT_ENDPOINT="https://your-project.azure.com"
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export AZURE_AI_MODEL_DEPLOYMENT_NAME="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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from collections.abc import AsyncIterator
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from contextlib import asynccontextmanager
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from agent_framework import ChatAgent, HostedCodeInterpreterTool, HostedWebSearchTool
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from agent_framework.azure import AzureAIAgentClient
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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[ChatAgent]:
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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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ChatAgent: 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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AzureAIAgentClient(credential=credential).create_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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HostedWebSearchTool(
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name="Bing Grounding Search",
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description="Search the web for current information using Bing",
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),
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HostedCodeInterpreterTool(),
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],
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) as agent,
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):
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yield agent
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