norrisaftcc / norrisaftcc/algorithm-liza
M3: Eval runner and JSON report
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- Python
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Description
liza-eval --model <m> --protocol <p> runs the full task suite unattended in isolated working directories and emits a JSON report: per task, pass/fail, iteration count, wall time, token counts, and the transcript path.
Unattended is the operative word. A local model will hang, loop, and produce output that crashes the harness; the runner has to survive all three and record them as results rather than aborting the suite. Per-task timeouts are mandatory.
Done when a full suite run completes against a local model without supervision and the report is diffable between runs.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start at the liza-eval --model <m> --protocol <p> CLI entry point and trace how the task suite currently runs, if implemented. Define the runner's handling of hangs, loops, harness crashes, timeouts, and per-task results; done means an unattended full-suite run completes and emits a diffable JSON report containing the required fields.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, cli, testing-qa
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100