Claude Platform Docs

List Deployments

beta.deployments.list(DeploymentListParams**kwargs) -> SyncPageCursor[BetaManagedAgentsDeployment]
GET/v1/deployments

List Deployments

Parameters
agent_id: Optional[str]

Filter by agent ID.

created_at_gte: Optional[Union[str, datetime]]

Return deployments created at or after this time (inclusive).

formatdate-time
created_at_lte: Optional[Union[str, datetime]]

Return deployments created at or before this time (inclusive).

formatdate-time
include_archived: Optional[bool]

When true, includes archived deployments. Default: false (exclude archived).

limit: Optional[int]

Maximum results per page. Default 20, maximum 100.

formatint32
page: Optional[str]

Opaque pagination cursor.

Filter by status: active or paused. Omit for both. To include archived deployments, use include_archived instead; the two cannot be combined.

One of the following:
"active"
"paused"
betas: Optional[List[AnthropicBetaParam]]

Optional header to specify the beta version(s) you want to use.

One of the following:
str
Literal["message-batches-2024-09-24", "prompt-caching-2024-07-31", "computer-use-2024-10-22", 38 more]
One of the following:
"message-batches-2024-09-24"
"prompt-caching-2024-07-31"
"computer-use-2024-10-22"
"computer-use-2025-01-24"
"pdfs-2024-09-25"
"token-counting-2024-11-01"
"token-efficient-tools-2025-02-19"
"output-128k-2025-02-19"
"files-api-2025-04-14"
"mcp-client-2025-04-04"
"mcp-client-2025-11-20"
"dev-full-thinking-2025-05-14"
"interleaved-thinking-2025-05-14"
"code-execution-2025-05-22"
"extended-cache-ttl-2025-04-11"
"context-1m-2025-08-07"
"context-management-2025-06-27"
"model-context-window-exceeded-2025-08-26"
"skills-2025-10-02"
"fast-mode-2026-02-01"
"output-300k-2026-03-24"
"user-profiles-2026-03-24"
"user-profiles-2026-08-18"
"advisor-tool-2026-03-01"
"managed-agents-2026-04-01"
"cache-diagnosis-2026-04-07"
"dreaming-2026-04-21"
"thinking-token-count-2026-05-13"
"server-side-fallback-2026-06-01"
"server-side-fallback-2026-07-01"
"fallback-credit-2026-06-01"
"fallback-credit-2026-07-01"
"agent-memory-2026-07-22"
"mid-conversation-tool-changes-2026-07-01"
"compact-2026-01-12"
"computer-use-2025-11-24"
"mcp-tunnels-2026-06-22"
"structured-outputs-2025-11-13"
"task-budgets-2026-03-13"
"thinking-display-updates-2026-08-18"
"ce-user-management-2026-07-13"
Returns
class BetaManagedAgentsDeployment:

A deployment is a configured instance of an agent — it binds the agent to everything needed to run it autonomously: an environment, credentials, initial events, and an optional schedule.

List Deployments

import os
from anthropic import Anthropic

client = Anthropic(
    api_key=os.environ.get(
        "ANTHROPIC_API_KEY"
    ),  # This is the default and can be omitted
)
page = client.beta.deployments.list()
page = page.data[0]
print(page.id)
{
  "data": [
    {
      "id": "depl_011CZkZcDH3vPqd7xnEfwTai",
      "agent": {
        "id": "agent_011CZkYpogX7uDKUyvBTophP",
        "type": "agent",
        "version": 1
      },
      "archived_at": null,
      "created_at": "2026-03-15T10:00:00Z",
      "description": "Compiles yesterday's orders into a report every weekday morning.",
      "environment_id": "env_011CZkZ9X2dpNyB7HsEFoRfW",
      "initial_events": [
        {
          "content": [
            {
              "text": "Compile yesterday's orders into report.md.",
              "type": "text"
            }
          ],
          "type": "user.message"
        }
      ],
      "metadata": {},
      "name": "Daily order report",
      "paused_reason": {
        "type": "manual"
      },
      "resources": [
        {
          "type": "github_repository",
          "url": "url",
          "checkout": {
            "name": "main",
            "type": "branch"
          },
          "mount_path": "mount_path"
        }
      ],
      "schedule": {
        "expression": "0 9 * * 1-5",
        "timezone": "America/Los_Angeles",
        "type": "cron",
        "last_run_at": "2026-03-16T16:00:09Z",
        "upcoming_runs_at": [
          "2026-03-17T16:00:00Z",
          "2026-03-18T16:00:00Z"
        ]
      },
      "status": "active",
      "type": "deployment",
      "updated_at": "2026-03-15T10:00:00Z",
      "vault_ids": [
        "vlt_011CZkZDLs7fYzm1hXNPeRjv"
      ],
      "budget": {
        "max_list_cost": {
          "amount": "2500",
          "currency": "USD"
        },
        "type": "limit"
      }
    }
  ],
  "next_page": "page_MjAyNS0wNS0xNFQwMDowMDowMFo="
}
Returns Examples
{
  "data": [
    {
      "id": "depl_011CZkZcDH3vPqd7xnEfwTai",
      "agent": {
        "id": "agent_011CZkYpogX7uDKUyvBTophP",
        "type": "agent",
        "version": 1
      },
      "archived_at": null,
      "created_at": "2026-03-15T10:00:00Z",
      "description": "Compiles yesterday's orders into a report every weekday morning.",
      "environment_id": "env_011CZkZ9X2dpNyB7HsEFoRfW",
      "initial_events": [
        {
          "content": [
            {
              "text": "Compile yesterday's orders into report.md.",
              "type": "text"
            }
          ],
          "type": "user.message"
        }
      ],
      "metadata": {},
      "name": "Daily order report",
      "paused_reason": {
        "type": "manual"
      },
      "resources": [
        {
          "type": "github_repository",
          "url": "url",
          "checkout": {
            "name": "main",
            "type": "branch"
          },
          "mount_path": "mount_path"
        }
      ],
      "schedule": {
        "expression": "0 9 * * 1-5",
        "timezone": "America/Los_Angeles",
        "type": "cron",
        "last_run_at": "2026-03-16T16:00:09Z",
        "upcoming_runs_at": [
          "2026-03-17T16:00:00Z",
          "2026-03-18T16:00:00Z"
        ]
      },
      "status": "active",
      "type": "deployment",
      "updated_at": "2026-03-15T10:00:00Z",
      "vault_ids": [
        "vlt_011CZkZDLs7fYzm1hXNPeRjv"
      ],
      "budget": {
        "max_list_cost": {
          "amount": "2500",
          "currency": "USD"
        },
        "type": "limit"
      }
    }
  ],
  "next_page": "page_MjAyNS0wNS0xNFQwMDowMDowMFo="
}