ContextLab / ContextLab/llmXive
[engine-failure] PROJ-319-quantifying-the-impact-of-data-artifacts @ tasks: RuntimeError
- Dominant language
- Python
- Stars
- 4
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Description
Automated report (spec 023 / FR-016) — an unexpected engine failure occurred while processing **PROJ-319-quantifying-the-impact-of-data-artifacts** at stage `tasks`.
```
RuntimeError: LLMReviewer[coverage]: review frontmatter has neither `verdict:` nor `concerns:`/`action_items:` — a contentless/truncated review MUST NOT count as acceptance (false-convergence guard). First 200 chars: '```yaml\n---\nreviewer_name: coverage\nreviewer_kind: llm\nstage: tasked\nartifact_path: projects/PROJ-319-quantifying-the-impact-of-data-artifacts/specs/001-quantifying-the-impact-of-data-artifacts/tasks.'
```
The project remains schedulable; it will retry on its normal cadence and recover once the underlying defect is fixed. Closing this issue does not require any project-state change.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with the automated report for PROJ-319 and trace the `LLMReviewer[coverage]` handling at the `tasks` stage, using the referenced review artifact path as the entry point. Determine why a truncated or contentless frontmatter review reaches acceptance handling; done means the engine no longer raises this failure and the normal retry can recover without a project-state change.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, backend
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 38/100