langflow-ai/langflow · warning · HTTPException
Cannot build deployment artifact: the parent flow for versio
Error message
Cannot build deployment artifact: the parent flow for version '{flow_version.id}' has been deleted or has no name. What it means
422 raised while building a deployment artifact in the base deployment mapper: the flow version's parent flow row is missing, deleted, or has an empty name, so a valid BaseFlowArtifact (which requires a non-empty name) cannot be constructed. Provider-specific mappers inherit this guard. The version row exists but points at a parent that cannot supply metadata.
Source
Thrown at src/backend/base/langflow/api/v1/mappers/deployments/base.py:246
*,
flow_version: FlowVersion,
flow_row: Flow | None,
deployment: Deployment,
) -> BaseFlowArtifact:
"""Build a ``BaseFlowArtifact`` for a snapshot content update.
The base implementation assembles the artifact from the flow version
data and the parent flow's metadata. Provider-specific mappers
override this to inject ``provider_data``.
Raises ``HTTPException(422)`` when the artifact cannot be built
(e.g. the parent flow has been deleted or the data is malformed).
"""
from pydantic import ValidationError
flow_name = getattr(flow_row, "name", None) or ""
if not flow_name:
raise HTTPException(
status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
detail=(
f"Cannot build deployment artifact: the parent flow for version "
f"'{flow_version.id}' has been deleted or has no name."
),
)
try:
return BaseFlowArtifact(
id=flow_version.flow_id,
name=flow_name,
description=getattr(flow_row, "description", None),
data=flow_version.data,
)
except ValidationError as exc:
raise HTTPException(
status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
detail=(
f"Flow version '{flow_version.id}' cannot be used as a deployment "View on GitHub (pinned to 976ec789d2)
Solutions
- Restore or recreate the parent flow, then re-attach the version
- Delete the orphaned flow version row (or the deployment referencing it) and recreate the deployment from a healthy flow
- Audit for other orphaned versions pointing at the missing flow id
Defensive patterns
Strategy: validation
Validate before calling
flow = await get_flow(client, flow_version["flow_id"])
if not flow or not flow.get("name"):
raise ValueError("parent flow missing/nameless — rebuild the version before deploying") Try / catch
try:
artifact = await create_deployment(client, version_id)
except httpx.HTTPStatusError as e:
if e.response.status_code == 422 and "deleted or has no name" in e.response.json()["detail"]:
prune_orphaned_version(version_id)
raise Prevention
- Verify the parent flow still exists and is named before deploying any version
- Cascade-delete or block deletion of flows that have versions referenced by deployments
- Audit for orphaned flow_version rows after DB restores
When it happens
Trigger: Creating/reading a deployment from a flow version whose parent flow was hard-deleted (version row left behind), or whose flow row has name='' — e.g. partial migrations or manual DB edits.
Common situations: Flow deleted while one of its versions was referenced by a deployment; DB restored inconsistently; name stripped by an import/export round-trip.
Related errors
- Flow version '{flow_version.id}' cannot be used as a deploym
- Missing provider_data for {provider_label}.
- The {provider_label} integration is not configured for {oper
- Empty result while {operation} ({provider_label}).
- Unexpected result while {operation} ({provider_label}): {det
AI-assisted analysis of langflow-ai/langflow@976ec789d2 (2026-08-14).
Data as JSON: /api/errors/d25314c61f4ff68d.
Report an issue: GitHub.