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Dmytro Struk
49 lines
2.0 KiB
Markdown
49 lines
2.0 KiB
Markdown
# Microsoft Agent Framework Getting Started
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This guide will help you get up and running quickly with a basic agent using the Agent Framework and Azure AI Foundry.
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## Prerequisites
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Before you begin, ensure you have the following:
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- [Python 3.9 or later](https://www.python.org/downloads/)
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- An [Azure AI Foundry](https://learn.microsoft.com/azure/ai-foundry/) project with a deployed model (e.g., `gpt-4o-mini`)
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- [Azure CLI](https://learn.microsoft.com/cli/azure/install-azure-cli) installed and authenticated (`az login`)
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**Note**: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Azure AI Foundry project. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
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## Running a Basic Agent Sample
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This sample demonstrates how to create and use a simple AI agent with Azure AI Foundry as the backend. It will create a basic agent using `ChatClientAgent` with `FoundryChatClient` and custom instructions.
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Make sure to set the following environment variables:
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- `FOUNDRY_PROJECT_ENDPOINT`: Your Azure AI Foundry project endpoint
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- `FOUNDRY_MODEL_DEPLOYMENT_NAME`: The name of your model deployment
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### Sample Code
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```python
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import asyncio
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from agent_framework import ChatClientAgent
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from agent_framework.foundry import FoundryChatClient
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from azure.identity.aio import AzureCliCredential
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async def main():
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async with (
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AzureCliCredential() as credential,
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ChatClientAgent(
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chat_client=FoundryChatClient(async_credential=credential),
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instructions="You are good at telling jokes."
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) as agent,
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):
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result = await agent.run("Tell me a joke about a pirate.")
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print(result.text)
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if __name__ == "__main__":
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asyncio.run(main())
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```
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## More Examples
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For more detailed examples and advanced scenarios, see the [Foundry Agent Examples](../../python/samples/getting_started/agents/foundry/README.md).
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