ContextLab / ContextLab/llmXive

[engine-failure] PROJ-171-quantifying-neural-representation-drift- @ plan: RuntimeError

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engine-failure
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-171-quantifying-neural-representation-drift-** at stage `plan`.

```
RuntimeError: LLMReviewer[data_resources]: 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: data_resources\nreviewer_kind: llm\nstage: planned\nartifact_path: projects/PROJ-171-quantifying-neural-representation-drift-/specs/001-quantifying-neural-drift/plan.md\nartifac'
```

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 generated review artifact at projects/PROJ-171-quantifying-neural-representation-drift-/specs/001-quantifying-neural-drift/plan.md and trace the parser that raises the reported RuntimeError. Check how review frontmatter handles verdict, concerns, and action_items, then verify that a truncated or contentless review cannot count as acceptance and that the normal retry can proceed.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
backend, tooling
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
42/100

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