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42 lines
2.1 KiB
Markdown
42 lines
2.1 KiB
Markdown
# Agent Examples
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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.
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## Examples by Provider
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### Azure AI Foundry Examples
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| Folder | Description |
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|--------|-------------|
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| **[`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 |
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### Microsoft Copilot Studio Examples
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| Folder | Description |
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|--------|-------------|
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| **[`copilotstudio/`](copilotstudio/)** | Create agents using Microsoft Copilot Studio with streaming and non-streaming responses, authentication handling, and explicit configuration options |
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### Azure OpenAI Examples
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| Folder | Description |
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|--------|-------------|
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| **[`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 |
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### OpenAI Examples
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| Folder | Description |
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|--------|-------------|
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| **[`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 |
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### Anthropic Examples
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| Folder | Description |
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|--------|-------------|
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| **[`anthropic/`](anthropic/)** | Create agents using Anthropic models through OpenAI Chat Client configuration, demonstrating tool calling capabilities |
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### Custom Implementation Examples
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| Folder | Description |
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|--------|-------------|
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| **[`custom/`](custom/)** | Create custom agents and chat clients by extending the base framework classes, showing complete control over agent behavior and backend integration |
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