chore: import upstream snapshot with attribution
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# Chat Completion Agents
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The following samples demonstrate how to get started with Chat Completion Agents using Semantic Kernel.
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## Configuring a Chat Completion Agent
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The `ChatCompletionAgent` relies on an underlying AI service connector. Depending on the AI service you choose, you may need to install additional packages. Refer to the [official SK documentation](https://learn.microsoft.com/en-us/semantic-kernel/concepts/ai-services/chat-completion/?tabs=csharp-AzureOpenAI%2Cpython-AzureOpenAI%2Cjava-AzureOpenAI&pivots=programming-language-python#installing-the-necessary-packages-1) for guidance on which extras are required.
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Next, follow this [configuration guide](../../concepts/README.md#configuring-the-kernel) to set up your environment for running the sample code.
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If you're developing outside the Semantic Kernel repository, it's recommended to place your `.env` file at the root of your project. When using VSCode, this allows the IDE to automatically load the `.env` file and make the environment variables available to your application.
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This setup enables the following code to work without explicitly passing keyword arguments to the AI service constructor:
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```python
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from semantic_kernel.agents import ChatCompletionAgent
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from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion
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agent = ChatCompletionAgent(
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service=AzureChatCompletion(), # No explicit kwargs needed due to environment variable configuration
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name="Assistant",
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instructions="Answer questions about the world in one sentence.",
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)
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```
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If you prefer to configure the service manually, you can do the following:
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```python
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from semantic_kernel.agents import ChatCompletionAgent
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from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion
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agent = ChatCompletionAgent(
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service=AzureChatCompletion(
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api_key="your-api-key",
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endpoint="your-aoai-endpoint",
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deployment_name="your-deployment-name",
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api_version="2025-03-01-preview" # Replace with your desired API version
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),
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name="Assistant",
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instructions="Answer questions about the world in one sentence.",
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)
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```
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For more information about the `ChatCompletionAgent` see Semantic Kernel's official documentation [here](https://learn.microsoft.com/en-us/semantic-kernel/frameworks/agent/chat-completion-agent?pivots=programming-language-python).
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