Daily Lab · recorded replay · run agent-k2-generous-out-05 · sandbox
agent-k2-generous-out-05
the investigation ended without proposing a candidateUnder the current criteria, generation 2. This run faced generation 1 when it executed. Both verdicts are below.
unknown
Verdict
2 criteria generationsCriteria generation
spec f027762ab4d08b35
the investigation ended without proposing a candidate
| Criterion | Satisfied | Result |
|---|
Accepted means eligible for human review under this spec hash, against a public case suite. It is not evidence of production quality, and it does not establish generalisation: the cases are visible and a candidate may have been written against them.
The patch
against positional_v0.pyThis run is the baseline itself, so there is nothing to diff against.
Reproduce this run
cd backend EVAL_OFFLINE=1 venv/bin/python -m lab.orchestrate \ --candidate agent-k2-generous-out-05 --tag clean cd ../web && npm run export:lab -- --check
Source under test
unknownsha256 unknown… · unknown bytestranscribed from unknown
Timeline
0 attemptsDurability makes orchestration recoverable; it does not make a sandbox creation or a publish happen exactly once. An attempt the orchestrator never saw finish is recorded as unknown-outcome rather than assumed to have failed.
Cases
0 scored, 0 not applicable- Recorded cases
- 0real batches, replayed
- Fault-injected
- 0labelled synthetic
- Correct
- 0of the scored cases
- Wrong
- 0see the table
Every scored case was correct. That is what the verdict above is asserting, and nothing more.
Provenance
What can and cannot be established- Executed at revision
- 1c97bc0483f43673fc9f31820d8187d53659a0ff+dirtyrecorded when the harness ran, not re-derived at export
- Inputs sha256
- 693cacced41778accases, records, candidates and event logs
- Evaluator sha256
- 277ec81521ba14d8
- Spec hash
- f027762ab4d08b35
- Execution mode
- offline-replayThe harness reads committed responses from disk and makes no network call. The candidate imports nothing beyond the standard library.
- Python
- unknown
- Model calls
- 0
- Spend for this run
- $0Grading replayed committed recordings and made no inference call; `replay_spend_usd` is that, and is $0. The investigation that authored the candidate did call a model: 0 call(s) to moonshotai/kimi-k2 through the AI Gateway, 0 tokens, an amount the gateway did not fully report as the gateway reported it per call. That is in `provider_reported`.
- Recording cost
- unknown
- Sandbox limits
- python3.13, network disabled120s wall clock, none secrets. This candidate matched a committed implementation, so it ran locally and the boundary was not exercised here.
Case suites
backend/lab/cases/observed.json42 cases · sha256 3d7f4b4143d85ab3…backend/evals/.cache/llm via offline replay
backend/lab/cases/synthetic.json22 cases · sha256 21c92da332a9837e…lab/build_synthetic.py — fault injection, ground truth by construction
- Note. Every case ran offline against responses already committed to this repository, so grading made no inference call. The investigation that wrote the candidate did, and its spend is recorded under usage.backend/lab/runs/agent-k2-generous-out-05-sandbox.trace.json
- Caution. The case suite is public. A candidate may have been written against it, so passing does not establish generalisation.backend/lab/cases/
The full artifact, as published
Validated against the schema in web/lib/lab/artifact.ts before it was written. Download the JSON.