Claude Platform Docs

Deployment-Runs auflisten

beta.deployment_runs.list(**kwargs) -> SyncPageCursor[BetaManagedAgentsDeploymentRun]
GET/v1/deployment_runs

Deployment-Runs auflisten

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

Return runs created strictly after this time (exclusive).

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

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

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

Return runs created strictly before this time (exclusive).

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

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

formatdate-time
deployment_id: Optional[str]⁠Query parameter

Filter to a specific deployment. Omit to list across all deployments in the workspace. Filtering by a non-existent deployment_id returns 200 with empty data.

has_error: Optional[bool]⁠Query parameter

Filter: true for runs with non-null error, false for runs with non-null session_id. Omit for all.

limit: Optional[int]⁠Query parameter

Maximum results per page. Default 20, maximum 1000.

formatint32
page: Optional[str]⁠Query parameter

Opaque pagination cursor. Pass next_page from the previous response. Invalid or expired cursors return 400.

trigger_type: Optional[BetaManagedAgentsTriggerType]⁠Query parameter

Filter runs by what triggered them. Omit to return all runs.

One of the following:
"schedule"

The run was fired by the deployment's cron schedule.

"manual"

The run was started manually by creating a session directly against the deployment.

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 BetaManagedAgentsDeploymentRun: type: "deployment_run"; id; agent; ... # 5 more

A persistent, append-only record of a single deployment execution. Records session creation success or failure — no session lifecycle tracking.

Deployment-Runs 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.deployment_runs.list()
page = page.data[0]
print(page.id)
Returns Examples
Response 200
{
  "data": [
    {
      "id": "id",
      "agent": {
        "id": "agent_011CZkYqphY8vELVzwCUpqiQ",
        "type": "agent",
        "version": 1
      },
      "created_at": "2019-12-27T18:11:19.117Z",
      "deployment_id": "deployment_id",
      "error": {
        "message": "message",
        "type": "environment_archived_error"
      },
      "session_id": "session_id",
      "trigger_context": {
        "scheduled_at": "2019-12-27T18:11:19.117Z",
        "type": "schedule"
      },
      "type": "deployment_run"
    }
  ],
  "next_page": "next_page"
}