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feat: update timeout of client.py and readme of agent_skills
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00-advanced/agent_skills/client.py

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@@ -49,7 +49,7 @@ async def send_request(message: str):
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"POST",
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f"{base_url}/run_sse",
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json=run_agent_request.model_dump(exclude_none=True),
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timeout=120,
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timeout=900,
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headers={"Authorization": f"Bearer {api_key}"},
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) as r:
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for line in r.iter_lines():

README.md

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@@ -41,6 +41,7 @@ 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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| [`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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| [`运行skills的智能体`](https://github.com/volcengine/agentkit-samples/tree/main/00-advanced/agent_skills) | ![label](https://img.shields.io/badge/%E4%B8%93%E5%AE%B6-CD5C5C) | 基于 AgentKit & VeADK & sandbox 构建可以运行 skills 的智能体 |
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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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