fix: [no-ticket] harbor - honest measurement signals (summary qualifiers, versioned re-evals, dead-attempt causes)#35
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…alue, versioned re-evals, dead-attempt causes)
Four small fixes so recorded numbers say what they are:
1. summary.json now carries n_scored, n_errored, and score_se beside
mean_score: a mean over 3-of-18 scored samples, or one dominated by
errored zero-fills, is a different measurement than a clean
full-split mean, and both the agent and any auditor should see that
without per-sample access. All three are label-safe aggregates.
2. summary.json status now writes the enum VALUE ("success"), not
str(enum) ("ExperimentResultStatus.SUCCESS").
3. Result dirs are versioned per eval ({split}__{commit12}__eN instead
of wipe-and-rewrite keyed on (split, commit)): repeat measurements of
one commit (multifidelity confirms, champion re-evals) are exactly
the evidence worth comparing, and the second eval erased the first.
4. Mean-mode collation records dead_exception_types per sample: n_dead
alone hides WHY attempts died, and cause matters (rate-limit deaths
are infra noise, crashes point at the candidate; measured live,
110/129 UnicodeDecodeError deaths sat on two never-solved tasks).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…fails closed on corrupt restore) Two operational fixes: 1. instruct_exhaust_budget (default True): the instruction's "unspent budget is wasted" persistence bullet becomes a build-config lever, like instruct_multifidelity. On preserves current behavior; off makes stopping-early the agent's own choice, which is the ablation arm for measuring what the exhortation itself contributes to optimizer persistence. The "scores are noisy" fact stays unconditional. 2. _load_or_build_ledger fails CLOSED on a persisted ledger that exists but cannot be parsed: metered budgets restore with zero remaining, and the unreadable file is preserved as ledger.corrupt for the operator. The old fallback restored the CONFIGURED budgets, which refunded the agent everything already spent, so any crash that corrupted the flush minted budget. A missing file is still a fresh boot; admin and finalize are unaffected either way. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Two Greptile P2s on #30, fixed at the stack tip: - An empty transcript file no longer surfaces as "" feedback: empty candidates are skipped (an empty pane falls through to the trajectory), and if everything is empty the search moves to the next failed attempt rather than short-circuiting on "". - The no-verifier-rewards error branch (agent died before scoring) now attaches the failure transcript like any failed sample: a candidate edit that crashes the agent lands exactly here, and the transcript is the only way the optimizer can see the crash it caused. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
… floor default, ordinal resume, SE naming) - Free-baseline flag is claimed BEFORE the eval await and refunded on failure: setting it only after success reopened a window where two concurrent baseline evals both resolved free (asyncio interleaves at await points). Claim-then-refund keeps both properties: concurrent callers see the claim, and a failed eval does not burn the freebie. - build_status defaults k_anonymity_floor to 5, matching the sidecar's enforcement default: a caller that forgets to pass the floor must not advertise a laxer one than gets enforced. - _route_results resumes the eval ordinal past surviving __eN dirs on a reused volume: a restarted sidecar started back at e1 and silently wiped the prior session's evidence, the exact erasure the versioned dirs exist to prevent. - score_se renamed to mean_score_se and documented: it is the SE of the zero-filled mean_score over n_samples, not of the n_scored subset. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…e crash vs infra outage)
Measured live in the transfer matrix: three champions scored 0/72 on an
off-model executor because their optimizers hardcoded temperature=0,
which that provider rejects. The harness handled it safely (rewards
floored, finalize shipped) but the durable record could not say WHY, and
"why" decides opposite actions: a deterministic candidate crash is a
real, reportable portability failure; an infra outage means invalidate
and re-run. Two changes:
- Collation's no-verifier-rewards error string now names the dead
attempts' exception types ("attempts died: UnsupportedParamsError
x6"). The error string is the one field that flows to the DB, the
per-sample files, and the verifier.
- _admin_eval_score returns (score, failure_cause); a floored target's
target_errors entry carries the dominant per-sample causes (frequency
summary, top 3). Diagnostics are fail-safe: any surprise result shape
degrades to a fixed string, never fails finalize.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…ask crashes cluster Greptile follow-up on #37: _dominant_sample_errors keyed on the raw error string, which embeds the task name, so identical exceptions across a multi-task slice landed in 1x singletons instead of one dominant cause. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
… finalize Home-model evals cannot see model-specific couplings the optimizer bakes in. Measured live in the wave-1 transfer matrix: three of five champions independently hardcoded temperature=0 (a variance trick on their home model, gpt-4.1-mini) and scored 0/72 on claude-opus-4-8, which rejects it, while looking healthy on every eval the optimization loop ever ran. The portability failure was invisible until a separate, manual, after-the-fact probe. VerificationTarget gains `model`: a target with an executor override scores the selected commit under a model it was NOT optimized on, in the same finalize battery as its home-model reward. The baseline is scored under the same override so the comparison stays like-for-like. Plumbing: build.yaml TargetSpec -> compiler -> serve.json _TargetCfg -> VerificationTarget -> engine.evaluate_admin(model=...) -> task_params ["harbor_model_override"] -> HarborRunner -m flag. The override rides task_params, so Mode A ignores it and the runner needs no new state; the shared run_constraints are copied, never mutated. Test fakes of evaluate_admin widened to accept the new kwarg (a strict signature turned the new call into a retried TypeError, flooring rewards, which is itself a nice demonstration of the floor's fail-safe). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…utage retry, key-budget alarm Three infra failure modes measured live in the E5 matrix runs, fixed at the measurement layer: - Dead attempts are classified infra vs candidate (conservative exception-type allowlist + the litellm key-budget message signature). Labels flow into dead_exception_types, error strings, and a new n_dead_infra metric. Classification never moves a score: every dead attempt still zero-fills, or faking infra would excuse failures. Exception type names are candidate-authored, so brackets are neutralized before labeling (a class named 'XError[infra]' cannot walk in pre-suffixed). - An OPT-IN, bounded, backoff-spaced within-eval retry re-measures samples whose every attempt died of a transient infra cause (the 65-second DNS blip that killed 44/72 attempts of one eval). Off by default: against an adversarial optimizer the qualifying predicate is a re-roll lever, since a stochastic candidate that raises allowlisted exceptions on failing attempts converts all-bad rounds into fresh draws. Retry rounds run in fresh sibling jobs dirs (nesting would pool dead attempts into later resumed means) and recovered samples carry an infra_retry audit marker naming the discarded attempts. - An ERROR-level alarm names key-budget exhaustion (a spent key fails every later call identically; two matrix cells of budget-exceeded zeros were nearly booked as a portability finding), with hedged wording since the signature reads candidate-process exceptions. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…d audit history - HarborConfig rejects infra_retry_delay_s <= 0 when retries are enabled (a zero delay silently nullified the backoff) and negative infra_retry_rounds. - The infra_retry audit marker now lists EVERY discarded round in order (discarded_rounds), not just the one immediately before recovery; recovered_round names when the sample finally measured. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
feat: [no-ticket] harbor - infra resilience (dead-attempt classification, opt-in outage retry, key-budget alarm)
feat: [no-ticket] harbor - transfer targets (per-target executor-model override at finalize)
fix: [no-ticket] harbor - floored rewards name their cause (candidate crash vs infra outage)
fix: [no-ticket] harbor - ops integrity (exhaust-budget instruction lever, fail-closed ledger restore)
| # try one more variant) instead of stopping early. On by default (current | ||
| # behavior); off makes stopping-early a choice the agent arrives at itself, | ||
| # which is the ablation arm for measuring what the exhortation contributes. | ||
| instruct_exhaust_budget: bool = True |
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this seems tied to the particular instruction template? should this be in a general config?
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Stacked on #34 (harbor-7-access-tiers). Part of the pre-paper hardening series; this is the "recorded numbers say what they are" group.
Changes
1. summary.json qualifies its mean (
server.py). The agent-visible aggregate now carriesn_scored,n_errored, andscore_sebesidemean_score. A mean over 3-of-18 scored samples, or one dominated by errored zero-fills, is a different measurement than a clean full-split mean; the agent (deciding whether a delta is real) and any auditor (reading the run afterward) should both see that without per-sample access. All three are label-safe aggregates, so they ride the same non_viewable-safe summary as before.2. Enum value, not repr (
server.py)."status": str(experiment.result.status)serialized as"ExperimentResultStatus.SUCCESS"(str-mixin enums lost their value-__str__in py3.11). Now writes.value->"success".3. Versioned result dirs (
server.py). Result dirs were keyed on(split, commit[:12])and wiped on re-eval, so a repeat measurement of the same commit erased the agent's earlier evidence; repeat measurements (multifidelity confirms, champion re-evals under a noisy scorer) are exactly the ones worth comparing. Each metered eval now gets{split}__{commit12}__eNandresult_pathin the response names the dir for that eval. The stale-file hazard the wipe used to prevent is gone structurally: no two evals share a dir.4. Dead-attempt causes (
runner.py). Mean-mode collation zero-fills attempts that died before scoring and counts them inn_dead; it now also recordsdead_exception_types(a per-cause count) in the sample output. Causes are not interchangeable: rate-limit deaths are infra noise that retunes with capacity, crashes point at the candidate, and deaths cluster hard by cause in practice (measured on 46 historical runs: 110 of 129 UnicodeDecodeError deaths sat on two never-solved tasks). Kept out ofmetrics(float-valued by contract) and rides the same viewable-only exposure path as attempt detail.Tests
__e1and__e2, both dirs alive.no_rewards_recorded; all-clean samples carry no key.🤖 Generated with Claude Code
Greptile Summary
This PR hardens the measurement-signal layer across four independent axes:
summary.jsonnow carriesn_scored,n_errored, andmean_score_seso a thin-sample or error-dominated mean is legible without per-sample access; metered result dirs gain a per-eval__eNordinal so repeat measurements (multifidelity confirms, champion re-evals) coexist on disk rather than the second erasing the first; dead attempt causes are recorded per exception type indead_exception_typesson_deadis no longer opaque to infra vs candidate failures; and a bounded, off-by-default infra-retry path lets trusted-candidate evaluations recover from transient outages without exposing an adversarial re-roll surface.n_scored/n_errored/mean_score_seare zero-fill–consistent (SE is of the same population asmean_score), andstatusnow serialises as.valuefixing theExperimentResultStatus.SUCCESSstring regression on Python 3.11+._eval_seqis scanned from surviving__eNdirs on the first route call after a restart, so old-session evidence is never silently wiped.infra_retry_rounds = 0by default), sibling-dir isolation, and per-recovery audit markers (infra_retry) are all in place; key-budget exhaustion is correctly classified as non-retryable infra.modeloverride wired end-to-end,instruct_exhaust_budgetablation lever.Confidence Score: 5/5
Safe to merge; all changes add measurement-signal qualifiers, fix a serialisation regression, and introduce an opt-in recovery path — none touch any critical hot path without proper guards.
The four axes of change (summary qualifiers, versioned dirs, dead-cause classification, infra retry) are each independently scoped and extensively tested (81 assertions on affected files). Security-sensitive properties — adversarial opt-out for infra retry, zero-score-fill regardless of classification, conservative exception allowlist, sibling-dir isolation — are correct and explicitly verified. Two minor audit-record issues exist but neither affects scores, recovery correctness, or the agent-visible data.
runner.py _retry_transient_infra — the discard_history accumulation timing is worth a follow-up in a multi-round, no-output-round scenario.
Important Files Changed
Flowchart
%%{init: {'theme': 'neutral'}}%% flowchart TD A[produce_sample_results] --> B[_run_harbor\ninitial jobs_dir] B --> C[_collate\njobs_dir] C --> D{infra_retry_rounds > 0?} D -- No --> Z[Done] D -- Yes --> E[_retry_transient_infra] E --> F{for each round} F --> G[_transient_infra_dead\nper sample] G --> H{any retryable?} H -- No --> Z H -- Yes --> I[asyncio.sleep\nN x delay_s] I --> J[_run_harbor\nsibling round_dir] J --> K[_load_trials\nround_dir] K --> L{any produced?} L -- No --> F L -- Yes --> M[_collate\nround_dir only] M --> N[_mark_recovered\nadd infra_retry audit marker] N --> F%%{init: {'theme': 'base', 'themeVariables': {"darkMode": true, "background": "#0d1117", "primaryColor": "#21262d", "primaryTextColor": "#e6edf3", "primaryBorderColor": "#8b949e", "lineColor": "#8b949e", "textColor": "#e6edf3", "edgeLabelBackground": "#161b22", "actorBkg": "#21262d", "actorBorder": "#8b949e", "actorTextColor": "#e6edf3", "actorLineColor": "#8b949e", "signalColor": "#8b949e", "signalTextColor": "#e6edf3", "noteBkgColor": "#373320", "noteBorderColor": "#d4a72c", "noteTextColor": "#f0e6c0", "labelBoxBkgColor": "#21262d", "labelBoxBorderColor": "#8b949e", "labelTextColor": "#e6edf3", "loopTextColor": "#e6edf3", "activationBkgColor": "#30363d", "activationBorderColor": "#8b949e"}}}%% flowchart TD A[produce_sample_results] --> B[_run_harbor\ninitial jobs_dir] B --> C[_collate\njobs_dir] C --> D{infra_retry_rounds > 0?} D -- No --> Z[Done] D -- Yes --> E[_retry_transient_infra] E --> F{for each round} F --> G[_transient_infra_dead\nper sample] G --> H{any retryable?} H -- No --> Z H -- Yes --> I[asyncio.sleep\nN x delay_s] I --> J[_run_harbor\nsibling round_dir] J --> K[_load_trials\nround_dir] K --> L{any produced?} L -- No --> F L -- Yes --> M[_collate\nround_dir only] M --> N[_mark_recovered\nadd infra_retry audit marker] N --> FReviews (2): Last reviewed commit: "Merge pull request #36 from scaleapi/har..." | Re-trigger Greptile