mirror of
https://github.com/microsoft/agent-framework.git
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Eduard van Valkenburg
95fd5ec658
* renamed AzureAIINferenceEmbeddings and lazy load azure-cosmos and env var rename * updated coverage * fix readme
62 lines
1.9 KiB
Python
62 lines
1.9 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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"""OpenAI Agent factory for GAIA benchmark.
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This module provides a factory function to create an OpenAI agent
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configured for GAIA benchmark tasks using the OpenAI Responses API.
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Required Environment Variables:
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OPENAI_API_KEY: Your OpenAI API key
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OPENAI_CHAT_MODEL: Model to use with Responses API (e.g., gpt-4o, gpt-4o-mini)
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Optional Environment Variables:
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OPENAI_BASE_URL: Custom API base URL if using a proxy or compatible service
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OPENAI_ORG_ID: Organization ID for OpenAI API (if applicable)
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Authentication:
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Uses OPENAI_API_KEY environment variable.
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Get your API key from: https://platform.openai.com/api-keys
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Example:
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export OPENAI_API_KEY="sk-..."
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export OPENAI_CHAT_MODEL="gpt-4o"
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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 Agent
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from agent_framework.openai import OpenAIChatClient
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@asynccontextmanager
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async def create_gaia_agent() -> AsyncIterator[Agent]:
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"""Create an OpenAI agent configured for GAIA benchmark tasks.
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Uses OpenAI Responses API for enhanced capabilities.
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The agent is configured with:
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- Web Search tool for 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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client = OpenAIChatClient()
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async with client.as_agent(
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name="GaiaAgent",
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instructions="Solve tasks to your best ability. Use Web 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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OpenAIChatClient.get_web_search_tool(),
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OpenAIChatClient.get_code_interpreter_tool(),
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],
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) as agent:
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yield agent
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