computenest-agent-integrations
面向 计算巢Agent部署 的集成库。以 Google ADK（Agent Development Kit）为底层 Agent 架构，将部署所需的能力与 ADK 标准接口对接，帮助开发者在 ADK 生态中构建、集成并部署 Agent 服务。
凭证由调用方在运行时传入，库内不包含任何密钥。
环境要求
- Python >= 3.12
安装
pip install computenest-agent-integrations
架构说明
计算巢Agent部署 ADK Agent 架构
│ │
└──── ADK 集成适配层 ────┘
本库在 ADK 的 Tool、Memory、MCP 等扩展点上提供与计算巢Agent部署及云上 Agent 生态的对接实现。开发者使用标准 ADK API 编写 Agent 逻辑，通过本库接入部署侧所需的外部能力。
当前已提供的集成
以下为实现示例，后续会持续扩展更多计算巢Agent部署与 ADK 的对接能力：
from computenest.integrations.adk import (
BailianLongTermMemoryService,
BailianRagTool,
McpTool,
E2bSandboxToolset,
E2bCodeInterpreterToolset,
)
| 组件 | ADK 扩展点 | 说明 |
|---|---|---|
BailianRagTool |
Tool | 知识库检索 |
McpTool |
Tool (MCP) | 从 MCP JSON 配置构建 McpToolset（支持任意 ${VAR} 占位符） |
BailianLongTermMemoryService |
Memory | 长期记忆存储与检索 |
E2bSandboxToolset |
Tool | E2B 沙箱文件系统与 Shell 操作（文件读写、目录管理、命令执行） |
E2bCodeInterpreterToolset |
Tool | 在 E2B Code Interpreter 沙箱中执行 Python/JavaScript 代码，支持有状态 context 管理 |
接入 ADK Agent
from google.adk.agents.llm_agent import Agent
from computenest.integrations.adk import BailianRagTool, McpTool
agent = Agent(
model=...,
name="my_agent",
tools=[rag_tool, *McpTool(mcp_config, variables={"DASHSCOPE_API_KEY": api_key})],
# memory_service=BailianLongTermMemoryService(...),
)
各组件的初始化参数见源码 docstring。
相关链接
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