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52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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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 import AzureCliCredential
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"""
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Hello Agent — Simplest possible agent
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This sample creates a minimal agent using FoundryChatClient via an
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Azure AI Foundry project endpoint, and runs it in both non-streaming and streaming modes.
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There are XML tags in all of the get started samples, those are used to display the same code in the docs repo.
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"""
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async def main() -> None:
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# <create_agent>
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client = FoundryChatClient(
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project_endpoint="https://your-project.services.ai.azure.com",
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model="gpt-4o",
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credential=AzureCliCredential(),
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)
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agent = Agent(
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client=client,
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name="HelloAgent",
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instructions="You are a friendly assistant. Keep your answers brief.",
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)
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# </create_agent>
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# <run_agent>
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# Non-streaming: get the complete response at once
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result = await agent.run("What is the capital of France?")
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print(f"Agent: {result}")
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# </run_agent>
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# <run_agent_streaming>
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# Streaming: receive tokens as they are generated
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print("Agent (streaming): ", end="", flush=True)
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async for chunk in agent.run("Tell me a one-sentence fun fact.", stream=True):
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if chunk.text:
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print(chunk.text, end="", flush=True)
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print()
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# </run_agent_streaming>
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if __name__ == "__main__":
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asyncio.run(main())
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