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update docs to the latest version
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docs/content/1.introduction/2.installation.md

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## pip 安装
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### 从内部源安装(由于官方源还在走上架流程,临时使用内部源)
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最新开发版本
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```bash
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pip install --pre -U agentkit-sdk-python --index-url https://artifacts-cn-beijing.volces.com/repository/agentkit/simple/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple --trusted-host mirrors.tuna.tsinghua.edu.cn
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pip install --pre agentkit-sdk-python
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```
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最新稳定版本
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```bash
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pip install -U agentkit-sdk-python --index-url https://artifacts-cn-beijing.volces.com/repository/agentkit/simple/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple --trusted-host mirrors.tuna.tsinghua.edu.cn
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pip install agentkit-sdk-python
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```
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> **说明**:内部源更新频率较高,可获取最新开发版本。
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### 从官方源安装(由于安全问题暂时下架)
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```bash
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pip install -U agentkit-sdk-python --index-url https://pypi.org/simple
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```
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> **说明**:由于安全问题,官方源暂时下架。
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## 源码安装
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适用于需要修改源码或参与开发的场景:
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### 从内部Codebase仓库clone
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```bash
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git clone [email protected]:iaasng/agentkit-sdk-python.git
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cd agentkit-sdk-python
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pip install -e .
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```
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### 从官方GitHub仓库clone(官方Github仓库还在走申请流程,暂不开放)
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适用于需要修改源码或参与开发的场景
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```bash
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git clone [email protected]:volcengine/agentkit-sdk-python.git
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cd agentkit-sdk-python

docs/content/1.introduction/4.troubleshooting.md

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**解决方案**
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1. 确认网络连接正常
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2. 使用内部源安装:
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```bash
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pip install --pre -U agentkit-sdk-python --index-url https://artifacts-cn-beijing.volces.com/repository/agentkit/simple/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple --trusted-host mirrors.tuna.tsinghua.edu.cn
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```
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3. 检查 Python 版本是否为 3.12+
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2. 检查 Python 版本是否为 3.12+
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### 问题:CLI 命令不可用
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**解决方案**
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1. 确认安装成功:`pip list | grep agentkit`
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2. 检查 PATH 环境变量是否包含 pip 的 bin 目录
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3. 尝试重新安装:`pip install -U agentkit-sdk-python-inhouse-nightly`
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3. 尝试重新安装:`pip install agentkit-sdk-python`
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## 配置问题
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docs/content/5.tools/1.sandbox_quickstart.md

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- 请将 `your_ak``your_sk` 等占位符替换为您的实际配置值
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- `AGENTKIT_TOOL_ID` 从火山引擎控制台创建沙箱工具后获取
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**🧪 测试环境配置(可选):**
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如果您的沙箱工具实例,是创建在测试环境账号下(如PPE),您需要在环境变量中显示指定 endpoint,否则默认连接正式环境,可能会导致调用失败。配置如下:
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```bash
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export AGENTKIT_TOOL_HOST=agentkit-ppe.cn-beijing.volces-test.com
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export AGENTKIT_TOOL_SERVICE_CODE=agentkit_ppe
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```
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### 3. 本地启动智能体服务
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配置完环境变量后,运行以下命令启动智能体:

docs/content/8.mcp/2.mcp_quickstart.md

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```bash
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uv pip install veadk-python
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uv pip install google-
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pip install -U agentkit-sdk-python --index-url https://artifacts-cn-beijing.volces.com/repository/agentkit/simple/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple --trusted-host mirrors.tuna.tsinghua.edu.cn
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uv pip install google-adk
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pip install agentkit-sdk-python
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```
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## 第二步:创建 AgentKit MCP

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