# Agent Examples

This folder contains examples demonstrating how to create and use agents with different chat clients from the Agent Framework. Each sub-folder focuses on a specific provider and client type, showing various capabilities like function tools, code interpreter, thread management, structured outputs, image processing, web search, Model Context Protocol (MCP) integration, and more.

## Examples by Provider

### Azure AI Foundry Examples

| Folder | Description |
|--------|-------------|
| **[`azure_ai/`](azure_ai/)** | Create agents using Azure AI Foundry Agent Service with various tools including function tools, code interpreter, MCP integration, and thread management |

### Microsoft Copilot Studio Examples

| Folder | Description |
|--------|-------------|
| **[`copilotstudio/`](copilotstudio/)** | Create agents using Microsoft Copilot Studio with streaming and non-streaming responses, authentication handling, and explicit configuration options |

### Azure OpenAI Examples

| Folder | Description |
|--------|-------------|
| **[`azure_openai/`](azure_openai/)** | Create agents using Azure OpenAI APIs with multiple client types (Assistants, Chat, and Responses clients) supporting function tools, code interpreter, thread management, and more |

### OpenAI Examples

| Folder | Description |
|--------|-------------|
| **[`openai/`](openai/)** | Create agents using OpenAI APIs with comprehensive examples including Assistants, Chat, and Responses clients featuring function tools, code interpreter, file search, web search, MCP integration, image analysis/generation, structured outputs, reasoning, and thread management |

### Anthropic Examples

| Folder | Description |
|--------|-------------|
| **[`anthropic/`](anthropic/)** | Create agents using Anthropic models through OpenAI Chat Client configuration, demonstrating tool calling capabilities |

### Custom Implementation Examples

| Folder | Description |
|--------|-------------|
| **[`custom/`](custom/)** | Create custom agents and chat clients by extending the base framework classes, showing complete control over agent behavior and backend integration |