langflow-ai/langflow · error · HTTPException

Failed to resolve wxO tool payload for {field_name}: [{flow_

Error message

Failed to resolve wxO tool payload for {field_name}: [{flow_version_id}]

What it means

Error "Failed to resolve wxO tool payload for {field_name}: [{flow_version_id}]" thrown in langflow-ai/langflow.

Source

Thrown at src/backend/base/langflow/api/v1/mappers/deployments/watsonx_orchestrate/mapper.py:497

            raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=msg) from exc
        return {
            "display_name": tool_display_name,
            "provider_data": provider_data,
            "raw_name": technical_name,
        }

    def _get_flow_tool_payload(
        self,
        *,
        flow_tool_by_flow_version_id: dict[UUID, _FlowToolPayload],
        flow_version_id: UUID,
        field_name: str,
    ) -> _FlowToolPayload:
        try:
            return flow_tool_by_flow_version_id[flow_version_id]
        except KeyError as exc:
            msg = f"Failed to resolve wxO tool payload for {field_name}: [{flow_version_id}]"
            raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=msg) from exc

    def _build_deployment_create_adapter_payload(
        self,
        *,
        api_provider_payload: WatsonxApiDeploymentCreatePayload,
        flow_artifacts: list[tuple[UUID, Any]],
        flow_tool_by_flow_version_id: dict[UUID, _FlowToolPayload],
        provider_operations: list[AdapterPayload],
    ) -> AdapterPayload:
        return self.parse_adapter_slot(
            slot=WXO_ADAPTER_PAYLOAD_SCHEMAS.deployment_create,
            slot_name="deployment_create",
            raw=self._build_provider_payload_body(
                llm=api_provider_payload.llm,
                display_name=api_provider_payload.display_name,
                model_fields_set=api_provider_payload.model_fields_set,
                raw_tool_payloads=[
                    artifact.model_copy(

View on GitHub (pinned to 976ec789d2)

Solutions

1. Verify the flow version exists and its data is intact; re-create the checkpoint if the snapshot is corrupted.

When it happens

Trigger: Occurs when the wxO tool payload for the given field cannot be resolved for the given flow_version_id.

Common situations: See trigger scenarios.

AI-assisted analysis of langflow-ai/langflow@976ec789d2 (2026-08-14). Data as JSON: /api/errors/56fd16b2671b24b8. Report an issue: GitHub.