langflow-ai/langflow · error · HTTPException

One or more flow versions are invalid. Please ensure the flo

Error message

One or more flow versions are invalid. Please ensure the flows belong to the project containing the deployment.

What it means

Error "One or more flow versions are invalid. Please ensure the flows belong to the project containing the deployment." thrown in langflow-ai/langflow.

Source

Thrown at src/backend/base/langflow/api/v1/mappers/deployments/helpers.py:175

            ),
        )
        .join(
            Deployment,
            and_(
                Deployment.id == deployment_db_id,
                Deployment.user_id == user_id,
                Deployment.project_id == Flow.folder_id,
            ),
        )
        .order_by(indexed_flow_version_ids_cte.c.position)
    )
    rows = list((await db.exec(statement)).all())
    if len(rows) < len(flow_version_ids):
        msg = (
            "One or more flow versions are invalid. "
            "Please ensure the flows belong to the project containing the deployment."
        )
        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=msg)

    artifacts: list[tuple[UUID, int, UUID, BaseFlowArtifact]] = []
    for row in rows:
        if row.flow_version_data is None:
            msg = f"Flow version {row.flow_version_id} has no data (snapshot may be corrupted)."
            raise HTTPException(status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, detail=msg)
        artifacts.append(
            (
                row.flow_version_id,
                row.flow_version_number,
                row.project_id,
                BaseFlowArtifact(
                    id=row.flow_id,
                    name=row.flow_name,
                    description=row.flow_description,
                    data=row.flow_version_data,
                    tags=row.flow_tags,
                ),

View on GitHub (pinned to 976ec789d2)

Solutions

1. Attach only flow versions whose flows belong to the deployment's project.

When it happens

Trigger: Occurs when one or more referenced flow versions do not belong to flows in the project containing the deployment.

Common situations: See trigger scenarios.

AI-assisted analysis of langflow-ai/langflow@976ec789d2 (2026-08-14). Data as JSON: /api/errors/32765fb5a36b8d88. Report an issue: GitHub.