Significant-Gravitas/AutoGPT · error · NotFoundError

Graph #{graph_execution.graph_id} not found or accessible

Error message

Graph #{graph_execution.graph_id} not found or accessible

What it means

Error "Graph #{graph_execution.graph_id} not found or accessible" thrown in Significant-Gravitas/AutoGPT.

Source

Thrown at autogpt_platform/backend/backend/api/features/library/db.py:2082

    Raises:
        DatabaseError: If there's a database error in creating the preset.
    """
    graph_exec_id = create_request.graph_execution_id
    graph_execution = await get_graph_execution(user_id, graph_exec_id)
    if not graph_execution:
        raise NotFoundError(f"Graph execution #{graph_exec_id} not found")

    # Sanity check: credential inputs must be available if required for this preset
    if graph_execution.credential_inputs is None:
        graph = await graph_db.get_graph(
            graph_id=graph_execution.graph_id,
            version=graph_execution.graph_version,
            user_id=graph_execution.user_id,
            include_subgraphs=True,
        )
        if not graph:
            raise NotFoundError(
                f"Graph #{graph_execution.graph_id} not found or accessible"
            )
        elif len(graph.regular_credentials_inputs) > 0:
            raise ValueError(
                f"Graph execution #{graph_exec_id} can't be turned into a preset "
                "because it was run before this feature existed "
                "and so the input credentials were not saved."
            )

    logger.debug(
        f"Creating preset for user #{user_id} from graph execution #{graph_exec_id}",
    )
    return await create_preset(
        user_id=user_id,
        preset=library_model.LibraryAgentPresetCreatable(
            inputs=graph_execution.inputs,
            credentials=graph_execution.credential_inputs or {},
            graph_id=graph_execution.graph_id,

View on GitHub (pinned to 9c8bb5550f)

Solutions

1. Verify the graph referenced by the execution still exists and is accessible.
2. Restore access to the graph or use a different execution.

When it happens

Trigger: Thrown at autogpt_platform/backend/backend/api/features/library/db.py:2082 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of Significant-Gravitas/AutoGPT@9c8bb5550f (2026-08-14). Data as JSON: /api/errors/2546808ec9f8bd1f. Report an issue: GitHub.