在 AgentSandbox 沙箱中使用 AgentCFS

import json
from tencentcloud.common import credential
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.ags.v20250920 import ags_client, models

# 1) 凭证（使用腾讯云 API 密钥）
cred = credential.Credential("AKIDxxxx", "SKxxxx")
http = HttpProfile(); http.endpoint = "ags.tencentcloudapi.com"
cp = ClientProfile(); cp.httpProfile = http
client = ags_client.AgsClient(cred, "ap-beijing", cp)

# 2) 组装请求
req = models.CreateSandboxToolRequest()
req.from_json_string(json.dumps({
    "ToolName": "cfs-sandbox-demo",
    "ToolType": "custom",
    "Persistent": True,
    "RoleArn": "qcs::cam::uin/<UIN>:roleName/<ROLE>",
    "CustomConfiguration": {
        "Image": "ccr.ccs.tencentyun.com/qcloud/centos:latest",
        "ImageRegistryType": "personal",
        "Command": ["/envd"],
        "Ports": [{"Name": "envd", "Port": 49983, "Protocol": "TCP"}],
        "Resources": {"CPU": "2", "Memory": "4Gi"},
        "Probe": {
            "HttpGet": {"Path": "/health", "Port": 49983, "Scheme": "HTTP"},
            "ReadyTimeoutMs": 30000, "ProbeTimeoutMs": 2000,
            "ProbePeriodMs": 1000, "SuccessThreshold": 1, "FailureThreshold": 30
        }
    },
    "NetworkConfiguration": {
        "NetworkMode": "VPC",
        "VpcConfig": {"SubnetIds": ["subnet-xxx"], "SecurityGroupIds": ["sg-xxx"]}
    },
    "StorageMounts": [
        {
            "Name": "brucetest",
            "StorageSource": {"Cfs": {"FileSystemId": "cfs-xxxxxxxx", "Path": "/"}},
            "MountPath": "/workspace/data"
        }
    ]
}))

# 3) 调用，拿到 ToolId
resp = client.CreateSandboxTool(req)
print(resp.to_json_string())   # {"ToolId": "sdt-xxxxxxxx", "RequestId": "..."}

import os, json
from e2b_code_interpreter import Sandbox

# 1) 环境变量（按 Tool 所在地域填写 domain，使用 e2b_ 前缀的 key）
os.environ["E2B_DOMAIN"]  = "ap-beijing.tencentags.com"
os.environ["E2B_API_KEY"] = "e2b_xxxxxxxx"

# 2) template = 步骤二创建的带 CFS 挂载的 ToolName
sbx = Sandbox.create(
    template="cfs-sandbox-demo",
    timeout=3600,   # 沙箱存活秒数，到期自动回收
    metadata={
        "x-mounts": json.dumps([
            {
                "name": "brucetest",              # 必需：匹配工具配置的存储名称
                "mountPath": "/workspace/data",   # 可选：沙箱内挂载路径
                "readOnly": False,                # 可选：读写权限
                "subPath": "user-123"             # 可选：文件系统内子路径，需已存在
            }
        ])
    },
)
print("sandbox_id =", sbx.sandbox_id)

# 3) 在沙箱内执行命令，务必 user="root" 才能访问挂载点
res = sbx.commands.run(
    "df -hT /workspace/data; touch /workspace/data/hello && echo WRITE-OK",
    user="root",
)
print(res.stdout)

import json
from tencentcloud.common import credential
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.ags.v20250920 import ags_client, models

# 1) 凭证（与创建模板同一套腾讯云 API 密钥）
cred = credential.Credential("AKIDxxxx", "SKxxxx")
http = HttpProfile(); http.endpoint = "ags.tencentcloudapi.com"
cp = ClientProfile(); cp.httpProfile = http
client = ags_client.AgsClient(cred, "ap-beijing", cp)

# 2) 基于步骤二创建的 Tool 启动沙箱
req = models.CreateSandboxRequest()
req.from_json_string(json.dumps({
    "ToolName": "cfs-sandbox-demo",
    "TimeoutSeconds": 3600,
    "StorageMounts": [
        {
            "Name": "brucetest",
            "MountPath": "/workspace/data",
            "SubPath": "user-123",
            "ReadOnly": False
        }
    ]
}))

# 3) 调用，拿到 SandboxId
resp = client.CreateSandbox(req)
print(resp.to_json_string())   # {"SandboxId": "...", "RequestId": "..."}