Claude Platform Docs

Sessions auflisten

beta.sessions.list(**kwargs) -> SyncBidirectionalPageCursor[BetaManagedAgentsSession]
GET/v1/sessions

Sessions auflisten

Parameters
agent_id: Optional[str]⁠Query parameter

Filter sessions created with this agent ID.

agent_version: Optional[int]⁠Query parameter

Filter by agent version. Only applies when agent_id is also set.

formatint32
created_at_gt: Optional[Union[str, datetime]]⁠Query parameter

Return sessions created after this time (exclusive).

formatdate-time
created_at_gte: Optional[Union[str, datetime]]⁠Query parameter

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

formatdate-time
created_at_lt: Optional[Union[str, datetime]]⁠Query parameter

Return sessions created before this time (exclusive).

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

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

formatdate-time
deployment_id: Optional[str]⁠Query parameter

Filter sessions created by this deployment ID.

include_archived: Optional[bool]⁠Query parameter

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

limit: Optional[int]⁠Query parameter

Maximum number of results to return.

formatint32
memory_store_id: Optional[str]⁠Query parameter

Filter sessions whose resources contain a memory_store with this memory store ID.

order: Optional[Literal["asc", "desc"]]⁠Query parameter

Sort direction for results, ordered by created_at. Defaults to desc (newest first).

One of the following:
"asc"
"desc"
page: Optional[str]⁠Query parameter

Opaque pagination cursor from a previous response.

statuses: Optional[List[Literal["rescheduling", "running", "idle", "terminated"]]]⁠Query parameter

Filter by session status. Repeat the parameter to match any of multiple statuses.

One of the following:
"rescheduling"

Transient error occurred, retrying automatically.

"running"

Agent is actively executing.

"idle"

Agent is waiting for input, including user messages or tool confirmations. Sessions start in idle.

"terminated"

Session has ended, either due to an error or completion.

betas: Optional[List[AnthropicBetaParam]]⁠Header parameter

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

One of the following:
str
"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"
"user-profiles-2026-09-04"
"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"
"mid-conversation-output-config-2026-07-01"
"thinking-binding-controls-2026-08-01"
"mid-conversation-system-clear-at-2026-08-21"
"compact-2026-09-04"
"inline-tools-2026-09-15"
"mcp-client-2026-09-15"
"ce-plugins-2026-09-01"
"spend-limit-reads-2026-09-26"
workspace_id: Optional[str]⁠Header parameter

Optional header to select the Workspace for this request. The value is a Workspace ID (for example, wrkspc_011CZkZaBF1tNoB5wlCeusgy).

Only needed for credentials that can act on more than one Workspace. A credential that belongs to a specific Workspace may omit it; if sent, it must match that Workspace.

Returns
class BetaManagedAgentsSession: type: "session"; id; agent; ... # 14 more

A Managed Agents session.

Sessions auflisten
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.sessions.list()
page = page.data[0]
print(page.id)
Returns Examples
Response 200
{
  "data": [
    {
      "id": "sesn_011CZkZAtmR3yMPDzynEDxu7",
      "agent": {
        "id": "agent_011CZkYpogX7uDKUyvBTophP",
        "description": "A general-purpose starter agent.",
        "mcp_servers": [
          {
            "name": "example-mcp",
            "type": "url",
            "url": "https://example-server.modelcontextprotocol.io/sse"
          }
        ],
        "model": {
          "id": "claude-opus-5",
          "effort": {
            "type": "low"
          },
          "inference_geo": "inference_geo",
          "speed": "standard"
        },
        "multiagent": {
          "agents": [
            {
              "id": "agent_011CZkYqphY8vELVzwCUpqiQ",
              "description": "A focused research subagent.",
              "mcp_servers": [
                {
                  "name": "example-mcp",
                  "type": "url",
                  "url": "https://example-server.modelcontextprotocol.io/sse"
                }
              ],
              "model": {
                "id": "claude-opus-5",
                "effort": {
                  "type": "low"
                },
                "inference_geo": "inference_geo",
                "speed": "standard"
              },
              "name": "Researcher",
              "skills": [
                {
                  "skill_id": "xlsx",
                  "type": "anthropic",
                  "version": "1"
                }
              ],
              "system": "You are a research subagent that gathers and summarises sources for the coordinating agent.",
              "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",
              "version": 1
            }
          ],
          "type": "coordinator"
        },
        "name": "My First Agent",
        "skills": [
          {
            "skill_id": "xlsx",
            "type": "anthropic",
            "version": "1"
          },
          {
            "skill_id": "skill_011CZkZFNu9hAbo3jZPRgTmx",
            "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",
        "version": 1
      },
      "archived_at": null,
      "budget": {
        "max_list_cost": {
          "amount": "2500",
          "currency": "USD"
        },
        "type": "limit"
      },
      "created_at": "2026-03-15T10:00:00Z",
      "environment_id": "env_011CZkZ9X2dpNyB7HsEFoRfW",
      "metadata": {},
      "outcome_evaluations": [
        {
          "completed_at": "2026-03-15T10:02:31Z",
          "description": "Produce a 2-page summary as summary.md",
          "explanation": "All five sections present with inline citations.",
          "iteration": 0,
          "outcome_id": "outc_011CZkZRSw2kEfs6ncTVmjxP",
          "result": "satisfied",
          "type": "outcome_evaluation"
        }
      ],
      "resources": [
        {
          "id": "sesrsc_011CZkZBJq5dWxk9fVLNcPht",
          "created_at": "2026-03-15T10:00:00Z",
          "file_id": "file_011CNha8iCJcU1wXNR6q4V8w",
          "mount_path": "/uploads/receipt.pdf",
          "type": "file",
          "updated_at": "2026-03-15T10:00:00Z"
        },
        {
          "id": "sesrsc_011CZkZCKr6eXym1gWMPdQiu",
          "created_at": "2026-03-15T10:00:00Z",
          "mount_path": "/workspace/example-repo",
          "type": "github_repository",
          "updated_at": "2026-03-15T10:00:00Z",
          "url": "https://github.com/example-org/example-repo",
          "checkout": {
            "name": "main",
            "type": "branch"
          }
        }
      ],
      "stats": {
        "active_seconds": 0,
        "duration_seconds": 0
      },
      "status": "idle",
      "title": "Order #1234 inquiry",
      "type": "session",
      "updated_at": "2026-03-15T10:00:00Z",
      "usage": {
        "active_seconds": 0,
        "cache_creation": {
          "ephemeral_1h_input_tokens": 0,
          "ephemeral_5m_input_tokens": 0
        },
        "cache_read_input_tokens": 0,
        "input_tokens": 0,
        "list_cost": {
          "amount": "2500",
          "currency": "USD"
        },
        "output_tokens": 0,
        "server_tool_use": {
          "web_fetch_requests": 0,
          "web_search_requests": 3
        }
      },
      "vault_ids": [
        "vlt_011CZkZDLs7fYzm1hXNPeRjv"
      ],
      "deployment_id": "deployment_id"
    }
  ],
  "next_page": "page_MjAyNS0wNS0xNFQwMDowMDowMFo=",
  "prev_page": "page_MjAyNS0wNS0xM1QwMDowMDowMFo="
}