Managed Agents — Environments & Resources

Environments

Creating a session requires an environment_id. Environments are reusable configuration templates for spinning up containers in Anthropic's infrastructure — you might create different environments for different use cases (e.g. data visualization vs web development, with different package sets). Anthropic handles scaling, container lifecycle, and work orchestration.

Environment names must be unique. Creating an environment with an existing name returns 409.

Networking

{
  "networking": {
    "type": "package_managers_and_custom",
    "allowed_hosts": ["api.example.com"]
  }
}

MCP caveat: If using restricted networking, make sure allowed_hosts includes your MCP server domains. Otherwise the container can't reach them and tools silently fail.

Creating an environment

The SDK adds managed-agents-2026-04-01 automatically. TypeScript:

const env = await client.beta.environments.create({
  name: "my_env",
  config: {
    type: "cloud",
    networking: { type: "unrestricted" },
  },
});

Environment CRUD

Resources

Attach files, GitHub repositories, and memory stores to a session. Session creation blocks until all resources are mounted — the container won't go running until every file and repo is in place. Max 999 file resources per session. Multiple GitHub repositories per session are supported. For type: "memory_store" resources (persistent cross-session memory — max 8 per session), see shared/managed-agents-memory.md.

File Uploads (input — host → agent)

Upload a file first via the Files API, then reference by file_id + mount_path:

// 1. Upload
const file = await client.beta.files.upload({
  file: fs.createReadStream("data.csv"),
});

// 2. Attach as a session resource
const session = await client.beta.sessions.create({
  agent: agent.id,
  environment_id: envId,
  resources: [
    { type: "file", file_id: file.id, mount_path: "/workspace/data.csv" }
  ],
});

mount_path is required and must be absolute. Parent directories are created automatically. Agent working directory defaults to /workspace. Files are mounted read-only — the agent writes modified versions to new paths.

Session outputs (output — agent → host)

The agent can write files to /mnt/session/outputs/ during a session. These are automatically captured by the Files API and can be listed and downloaded afterwards:

// After the turn completes, list output files scoped to this session:
for await (const f of client.beta.files.list({
  scope_id: session.id,
  betas: ["managed-agents-2026-04-01"],
})) {
  console.log(f.filename, f.size_bytes);
  const resp = await client.beta.files.download(f.id);
  const text = await resp.text();
}

Requirements:

• The write tool (or bash) must be enabled for the agent to create output files.
• Session-scoped files.list / files.download captures outputs written to /mnt/session/outputs/.
• The filter parameter is scope_id (REST query param ?scope_id=<session_id>). The SDK's files resource auto-adds only the files-api-2025-04-14 header, so pass betas: ["managed-agents-2026-04-01"] explicitly (or both headers on raw HTTP) — without it the API may reject scope_id as an unknown field. Requires @anthropic-ai/sdk ≥ 0.88.0 / anthropic (Python) ≥ 0.92.0 — older versions don't type scope_id. The ant CLI does not expose this flag yet; use the SDK or curl.
• Pass the session ID returned by sessions.create() verbatim (e.g. sesn_011CZx...) — the API validates the prefix.
• There's a brief indexing lag (~1–3s) between session.status_idle and output files appearing in files.list. Retry once or twice if empty.

Fallback when scope_id filtering is unavailable (older SDK, or endpoint returns an error): send a follow-up user.message asking the agent to read each file under /mnt/session/outputs/ and return the contents. The agent streams the file bodies back as agent.message text. This works for text files only and costs output tokens — use it to unblock, not as the primary path.

This gives you a bidirectional file bridge: upload reference data in, download agent artifacts out.

GitHub Repositories

Clones a GitHub repository into the session container during initialization, before the agent begins execution. The agent can read, edit, commit, and push via bash (git). Multiple repositories per session are supported — add one resources entry per repo. Repositories are cached, so future sessions that use the same repository start faster.

Repositories are attached for the lifetime of the session — to change which repositories are mounted, create a new session. You can rotate a repository's authorization_token on a running session via client.beta.sessions.resources.update(resource_id, {session_id, authorization_token}); the resource id is returned at session creation and by resources.list().

Fields:

Token permission levels (fine-grained PATs):

• Contents: Read — clone only
• Contents: Read and write — push changes and create pull requests

How auth works: authorization_token is never placed inside the container. git pull / git push and GitHub REST calls against the attached repository are routed through an Anthropic-side git proxy that injects the token after the request leaves the sandbox. Code running in the container — including anything the agent writes — cannot read or exfiltrate it.

‼️ To generate pull requests you also need GitHub MCP server access — the github_repository resource gives filesystem + git access only. See shared/managed-agents-tools.md → MCP Servers. The PR workflow is: edit files in the mounted repo → push branch via bash (authenticated via the git proxy using authorization_token) → create PR via the MCP create_pull_request tool (authenticated via the vault).

TypeScript:

// 1. Create the agent — declare GitHub MCP (no auth here)
const agent = await client.beta.agents.create(
  {
    name: 'GitHub Agent',
    model: 'claude-opus-4-7',
    mcp_servers: [
      { type: 'url', name: 'github', url: 'https://api.githubcopilot.com/mcp/' },
    ],
    tools: [
      { type: 'agent_toolset_20260401', default_config: { enabled: true } },
      { type: 'mcp_toolset', mcp_server_name: 'github' },
    ],
  },
);

// 2. Start a session — attach vault for MCP auth + mount the repo
const session = await client.beta.sessions.create({
  agent: agent.id,
  environment_id: envId,
  vault_ids: [vaultId],  // vault contains the GitHub MCP OAuth credential
  resources: [
    {
      type: 'github_repository',
      url: 'https://github.com/owner/repo',
      authorization_token: process.env.GITHUB_TOKEN,  // repo clone token (≠ MCP auth)
      checkout: { type: 'branch', name: 'main' },
    },
  ],
});

Python:

import os

agent = client.beta.agents.create(
    name="GitHub Agent",
    model="claude-opus-4-7",
    mcp_servers=[{
        "type": "url",
        "name": "github",
        "url": "https://api.githubcopilot.com/mcp/",
    }],
    tools=[
        {"type": "agent_toolset_20260401", "default_config": {"enabled": True}},
        {"type": "mcp_toolset", "mcp_server_name": "github"},
    ],
)

session = client.beta.sessions.create(
    agent=agent.id,
    environment_id=env_id,
    vault_ids=[vault_id],  # vault contains the GitHub MCP OAuth credential
    resources=[{
        "type": "github_repository",
        "url": "https://github.com/owner/repo",
        "authorization_token": os.environ["GITHUB_TOKEN"],  # repo clone token (≠ MCP auth)
        "checkout": {"type": "branch", "name": "main"},
    }],
)

Files API

Upload and manage files for use as session resources, and download files the agent wrote to /mnt/session/outputs/.

The scope_id filter on List scopes the results to files written to /mnt/session/outputs/ by that session. Without the filter, you get all files uploaded to your account.