ContextLab / ContextLab/llmXive

[engine-failure] PROJ-553-cognitive-load-optimization-adaptive-com @ tasks: 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-553-cognitive-load-optimization-adaptive-com** at stage `tasks`.

```
RuntimeError: LLMReviewer[ordering]: 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: ordering\nreviewer_kind: llm\nstage: tasked\nartifact_path: projects/PROJ-553-cognitive-load-optimization-adaptive-com/specs/001-cognitive-load-optimization-adaptive-com/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 by reproducing spec 023 / FR-016 and tracing the tasks-stage LLMReviewer[ordering] handling for PROJ-553-cognitive-load-optimization-adaptive-com. Inspect the generated review frontmatter under projects/PROJ-553-cognitive-load-optimization-adaptive-com/specs/001-cognitive-load-optimization-adaptive-com/tasks. Done means truncated or contentless reviews are rejected, while a valid verdict or concerns/action_items review permits normal retry and scheduling.

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
42/100

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