Significant-Gravitas/AutoGPT · error · HTTPException

Execution not found

Error message

Execution not found

What it means

HTTP 404 from the admin stop-execution endpoint. get_graph_executions with just graph_exec_id returned no rows, so no AgentGraphExecution with that id exists at all (unlike the requeue endpoint, no status filter applies here). The stop is never attempted.

Solutions

1. Confirm the full UUID exists: check the executions list or AgentGraphExecution table.
2. Paste ids programmatically (from the API/DB) rather than by hand to avoid truncation.
3. Ensure you are authenticated against the same environment where the execution ran.
4. If the row was deleted, no stop is needed — the executor has no record to stop.

const UUID_RE = /^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/i;
if (!UUID_RE.test(executionId)) throw new Error('invalid execution id');

function isExecutionId(id: string): boolean { return /^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/i.test(id); }

When it happens

Trigger: POST /admin/execution/stop with a malformed or non-existent execution UUID — e.g. truncated when copying, wrong environment (dev id against prod), or the execution record was deleted.

Common situations: Stopping an execution already purged by retention; using an execution id from a logs URL that was URL-encoded/truncated; copy-paste between staging and production consoles.

Related errors

• Execution not found
• Execution not found or not in QUEUED status
• Graph execution # not found.
• Agent / not found
• Graph # not found

AI-assisted analysis of Significant-Gravitas/AutoGPT@9c8bb5550f (2026-08-14). Data as JSON: /api/errors/f0f196ac254f59b2. Report an issue: GitHub.

Appendix: source

Thrown at autogpt_platform/backend/backend/api/features/admin/diagnostics_admin_routes.py:530

    Stop a single execution (admin only).

    Uses robust stop_graph_execution which cascades to children and waits for termination.

    Args:
        request: Contains execution_id to stop

    Returns:
        Success status and message
    """
    logger.info(f"Admin {user.user_id} stopping execution {request.execution_id}")

    # Get the execution to find its owner user_id (required by stop_graph_execution)
    executions = await get_graph_executions(
        graph_exec_id=request.execution_id,
    )

    if not executions:
        raise HTTPException(status_code=404, detail="Execution not found")

    execution = executions[0]

    # Use robust stop_graph_execution (cascades to children, waits for termination)
    await stop_graph_execution(
        user_id=execution.user_id,
        graph_exec_id=request.execution_id,
        wait_timeout=15.0,
        cascade=True,
    )

    return StopExecutionResponse(
        success=True,
        stopped_count=1,
        message="Execution stopped successfully",
    )

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