langchain-sandrpod
SandrPod sandbox integration for Deep Agents.
Installation
pip install langchain-sandrpod
Quick Start
from langchain_sandrpod import SandrPodClient
from deepagents import create_deep_agent
from deepagents.middleware import FilesystemMiddleware
client = SandrPodClient(api_url="http://localhost:8080")
with client.sandbox("my-sandbox") as sb:
# 直接执行命令
result = sb.execute("python3 -c 'print(42)'")
print(result.output) # 42
# 或者接入 deepagents agent
agent = create_deep_agent(
middleware=[FilesystemMiddleware(backend=sb)]
)
result = agent.invoke({"messages": [{"role": "user", "content": "列出 /workspace 下的文件"}]})
Sandbox surface
| 能力 | 方法 |
|---|---|
| 一次性执行 | execute(cmd) |
| 文件 | ls / read / write / edit / delete / grep / glob / upload_files / download_files（write 覆盖已有文件；delete 原生走 /files/delete，对齐 deepagents 契约） |
| 有状态解释器（变量跨调用保留） | run_code(code, context_id=…) + create/list/restart/remove_code_context |
| 目录监视 | watch_dir(path) / get_new_events(watcher_id) |
| 资源用量 | metrics() |
| MCP 配置与调用 | mcp_ls / mcp_add / mcp_rm / mcp_tools / mcp_manifest / mcp_url |
示例见 examples/（含 04_personal_mcp.py：把员工机上的个人 MCP
工具通过沙箱 /mcp 端点交给远端 agent）。
Environment Variables
| Variable | Description | Default |
|---|---|---|
SANDRPOD_API_URL |
API Server 地址 | http://localhost:8080 |
SANDRPOD_API_TOKEN |
平台层 Bearer token | (empty) |
SANDRPOD_MCP_TOKEN |
资源层 mcp_token（沙箱内 bridge 的共享密钥，可选） |
(empty) |
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