Claude Platform Docs

List Agent Versions

beta.agents.versions.list(stragent_id, VersionListParams**kwargs) -> SyncPageCursor[BetaManagedAgentsAgent]
GET/v1/agents/{agent_id}/versions

List Agent Versions

Parameters
agent_id: str
limit: Optional[int]

Maximum results per page. Default 20, maximum 100.

formatint32
page: Optional[str]

Opaque pagination cursor.

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 BetaManagedAgentsAgent:

A Managed Agents agent.

List Agent Versions

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.agents.versions.list(
    agent_id="agent_011CZkYpogX7uDKUyvBTophP",
)
page = page.data[0]
print(page.id)
{
  "data": [
    {
      "id": "agent_011CZkYpogX7uDKUyvBTophP",
      "archived_at": null,
      "created_at": "2026-03-15T10:00:00Z",
      "description": "A general-purpose starter agent.",
      "mcp_servers": [
        {
          "name": "example-mcp",
          "type": "url",
          "url": "https://example-server.modelcontextprotocol.io/sse"
        }
      ],
      "metadata": {
        "foo": "bar"
      },
      "model": {
        "id": "claude-opus-5",
        "effort": {
          "type": "low"
        },
        "inference_geo": "inference_geo",
        "speed": "standard"
      },
      "multiagent": {
        "agents": [
          {
            "id": "agent_011CZkYqphY8vELVzwCUpqiQ",
            "type": "agent",
            "version": 1
          }
        ],
        "type": "coordinator"
      },
      "name": "My First Agent",
      "skills": [
        {
          "skill_id": "xlsx",
          "type": "anthropic",
          "version": "1"
        },
        {
          "skill_id": "skill_011CZkZFNu9hAbo3jZPRgTlx",
          "type": "custom",
          "version": "2"
        }
      ],
      "system": "You are a general-purpose agent that can research, write code, run commands, and use connected tools to complete the user's task end to end.",
      "tools": [
        {
          "configs": [
            {
              "enabled": true,
              "name": "bash",
              "permission_policy": {
                "type": "always_allow"
              },
              "type": "bash"
            }
          ],
          "default_config": {
            "enabled": true,
            "permission_policy": {
              "type": "always_ask"
            }
          },
          "type": "agent_toolset_20260401"
        }
      ],
      "type": "agent",
      "updated_at": "2026-03-15T10:00:00Z",
      "version": 1
    }
  ],
  "next_page": "next_page"
}
Returns Examples
{
  "data": [
    {
      "id": "agent_011CZkYpogX7uDKUyvBTophP",
      "archived_at": null,
      "created_at": "2026-03-15T10:00:00Z",
      "description": "A general-purpose starter agent.",
      "mcp_servers": [
        {
          "name": "example-mcp",
          "type": "url",
          "url": "https://example-server.modelcontextprotocol.io/sse"
        }
      ],
      "metadata": {
        "foo": "bar"
      },
      "model": {
        "id": "claude-opus-5",
        "effort": {
          "type": "low"
        },
        "inference_geo": "inference_geo",
        "speed": "standard"
      },
      "multiagent": {
        "agents": [
          {
            "id": "agent_011CZkYqphY8vELVzwCUpqiQ",
            "type": "agent",
            "version": 1
          }
        ],
        "type": "coordinator"
      },
      "name": "My First Agent",
      "skills": [
        {
          "skill_id": "xlsx",
          "type": "anthropic",
          "version": "1"
        },
        {
          "skill_id": "skill_011CZkZFNu9hAbo3jZPRgTlx",
          "type": "custom",
          "version": "2"
        }
      ],
      "system": "You are a general-purpose agent that can research, write code, run commands, and use connected tools to complete the user's task end to end.",
      "tools": [
        {
          "configs": [
            {
              "enabled": true,
              "name": "bash",
              "permission_policy": {
                "type": "always_allow"
              },
              "type": "bash"
            }
          ],
          "default_config": {
            "enabled": true,
            "permission_policy": {
              "type": "always_ask"
            }
          },
          "type": "agent_toolset_20260401"
        }
      ],
      "type": "agent",
      "updated_at": "2026-03-15T10:00:00Z",
      "version": 1
    }
  ],
  "next_page": "next_page"
}