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‎README.md‎

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@@ -24,22 +24,23 @@ AgentKit 代码工坊为让您快速上手 AgentKit 平台，提供了不同入
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## ➤ 样例列表
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| **名称** | **难度** | **描述** |
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| - | - | - |
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| [`hello_world`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/hello_world) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | 入门级对话智能体，展示如何创建一个具备短期记忆能力的基础 AI Agent |
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| [`multi_agents`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/multi_agents) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | 多智能体协作示例，展示如何通过层级结构和专业分工实现复杂任务的智能化处理 |
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| [`episode_generation`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/episode_generation) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | 图片与视频生成智能体，展示多种 VeADK 内置工具能力 |
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| [`mcp_simple`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/mcp_simple) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | MCP 集成示例，通过 MCP 协议实现 Agent 调用火山引擎 TOS 对象存储服务 |
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| [`vikingdb_agent`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/vikingdb) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | 基于火山引擎 VeADK 和 VikingDB 构建的 RAG（检索增强生成）示例，展示如何通过向量检索实现专业文档知识库的智能问答 |
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| [`vikingmem_agent`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/vikingmem) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | 基于火山引擎 VeADK 和 VikingDB 构建的记忆管理示例，展示如何实现智能体的短期记忆和长期记忆功能 |
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| [`a2a_simple`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/a2a_simple) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | 分布式多 Agents 示例，展示如何实现智能体之间的通信和协作 |
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| [`agent_callbacks`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/callback) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | Agent 运行时生命周期回调示例，展示 Agent 生命周期各阶段的回调函数和护栏功能 |
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| [`旅行规划助手`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/travel_concierge) | ![label](https://img.shields.io/badge/%E6%99%AE%E9%80%9A-008000) | 结合 Web 搜索工具和专业领域知识，自动规划完整的旅行行程 |
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| [`餐厅智能点餐助手`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/restaurant_ordering) | ![label](https://img.shields.io/badge/%E6%99%AE%E9%80%9A-008000) | 通过点餐智能体，实现复杂业务流程、异步工具调用、上下文管理和自定义插件等高级特性 |
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| [`AI 编程助手`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/ai_coding) | ![label](https://img.shields.io/badge/%E8%BF%9B%E9%98%B6-CD853F) | AI 编程助手，帮助开发者编写和优化代码 |
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| [`客户服务智能体`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/customer_support) | ![label](https://img.shields.io/badge/%E8%BF%9B%E9%98%B6-CD853F) | 提供自动的售后咨询和售前导购 |
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| [`视频生成智能体`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/video_gen) | ![label](https://img.shields.io/badge/%E8%BF%9B%E9%98%B6-CD853F) | 结合多种工具实现视频内容创作 |
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| [`数据分析智能体`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/data_analysis_with_datalake) | ![label](https://img.shields.io/badge/%E4%B8%93%E5%AE%B6-CD5C5C) | 基于 LanceDB 构建的数据分析智能体 |
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| **名称** | **难度** | **描述** |
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|---------------------------------------------------------------------------------------------------------------------------| - |--------------------------------------------------------------------|
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| [`hello_world`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/hello_world) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | 入门级对话智能体，展示如何创建一个具备短期记忆能力的基础 AI Agent |
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| [`multi_agents`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/multi_agents) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | 多智能体协作示例，展示如何通过层级结构和专业分工实现复杂任务的智能化处理 |
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| [`episode_generation`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/episode_generation) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | 图片与视频生成智能体，展示多种 VeADK 内置工具能力 |
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| [`mcp_simple`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/mcp_simple) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | MCP 集成示例，通过 MCP 协议实现 Agent 调用火山引擎 TOS 对象存储服务 |
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| [`vikingdb_agent`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/vikingdb) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | 基于火山引擎 VeADK 和 VikingDB 构建的 RAG（检索增强生成）示例，展示如何通过向量检索实现专业文档知识库的智能问答 |
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| [`vikingmem_agent`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/vikingmem) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | 基于火山引擎 VeADK 和 VikingDB 构建的记忆管理示例，展示如何实现智能体的短期记忆和长期记忆功能 |
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| [`a2a_simple`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/a2a_simple) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | 分布式多 Agents 示例，展示如何实现智能体之间的通信和协作 |
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| [`agent_callbacks`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/callback) | ![label](https://img.shields.io/badge/%E5%85%A5%E9%97%A8-E6E6FA) | Agent 运行时生命周期回调示例，展示 Agent 生命周期各阶段的回调函数和护栏功能 |
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| [`旅行规划助手`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/travel_concierge) | ![label](https://img.shields.io/badge/%E6%99%AE%E9%80%9A-008000) | 结合 Web 搜索工具和专业领域知识，自动规划完整的旅行行程 |
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| [`餐厅智能点餐助手`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/beginner/restaurant_ordering) | ![label](https://img.shields.io/badge/%E6%99%AE%E9%80%9A-008000) | 通过点餐智能体，实现复杂业务流程、异步工具调用、上下文管理和自定义插件等高级特性 |
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| [`AI 编程助手`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/ai_coding) | ![label](https://img.shields.io/badge/%E8%BF%9B%E9%98%B6-CD853F) | AI 编程助手，帮助开发者编写和优化代码 |
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| [`客户服务智能体`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/customer_support) | ![label](https://img.shields.io/badge/%E8%BF%9B%E9%98%B6-CD853F) | 提供自动的售后咨询和售前导购 |
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| [`视频生成智能体`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/video_gen) | ![label](https://img.shields.io/badge/%E8%BF%9B%E9%98%B6-CD853F) | 结合多种工具实现视频内容创作 |
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| [`数据分析智能体`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/data_analysis_with_datalake) | ![label](https://img.shields.io/badge/%E4%B8%93%E5%AE%B6-CD5C5C) | 基于 LanceDB 构建的数据分析智能体 |
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| [`电商营销视频生成`](https://github.com/volcengine/agentkit-samples/tree/main/02-use-cases/multimedia) | ![label](https://img.shields.io/badge/%E4%B8%93%E5%AE%B6-CD5C5C) | 基于A2A构建的多智能体电商营销视频生成示例，展示如何利用A2A以及图片、视频生成工具进行智能视频内容创作 |
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每个用例都包含完整的实现，并详细说明如何结合 AgentKit 组件构建应用。
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