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Preserve evidence and test caveats during response repair - #753

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codex/repair-content-preservation
Sep 9, 2026
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Preserve evidence and test caveats during response repair#753
wwind123 merged 5 commits into
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codex/repair-content-preservation

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@wwind123

@wwind123 wwind123 commented Sep 9, 2026

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Why

A replay of the latest ten retained Gemini repairs showed why schema acceptance alone is insufficient: GPT-OSS passed 10/10 and Luna passed 9/10, but both condensed detailed findings. GPT-OSS omitted actionable implementation/test requirements in one accepted repair. Luna also invented reviewer-item IDs as human requirements in one rejected repair, and removed a failing-test caveat. The historical Gemini baseline was not lossless either: one accepted repair omitted a test-command list.

The existing request to preserve intent is too permissive. Repair needs to fix representation without becoming another reviewer or summarizer.

Changes

  • Add an explicit lossless content contract and a complete object-to-string example to the shared repair prompt. Preserve evidence, code references, distinct findings, test commands and status/caveats; do not invent IDs or facts.
  • Reiterate that no surfaced signed human requirements means both human ledgers are empty, not populated with not-applicable reviewer-item entries.
  • Add a bounded local preservation check after normal validation in the repair chain, and in the legacy repair helper. Parseable supported responses cannot silently lose original summary text, test-command entries, plan steps, coder notes, or current-scope finding text. Lossy candidates use the existing failure/fallback handling.
  • Add regressions based on the benchmark failures, plus compatibility coverage for whitespace, ordering, bucket moves, reserved syntax, invalid source kinds, and fallback behavior.
  • Document the guarantees and limits.

Deliberate Limits

This is not semantic-equivalence certification or a new JSON-repair parser. Unparseable JSON, unsupported kinds, and individual strings containing reserved protocol grammar are outside the local content comparison. They retain the stronger prompt and existing schema/context validation. Required schema corrections, forbidden future-item removal, and protocol-safety sanitization remain allowed. The guard does not establish that underlying code/test claims are true.

No repair backend, model default, or CLI permission policy changes. No live model calls are needed by the regression tests.

Validation

  • Focused repair, protocol, human-requirement, and recovery tests: 510 passed.
  • Full suite on the final commit: 2,601 passed in 157.92 seconds (python -m pytest -x -q).
  • git diff --check passed.

The full suite needed access outside the read-only-home sandbox because existing configuration tests create log directories under ~/.cache. An initial sandboxed run reported failures and hit its 180-second cap; a fail-fast rerun identified the read-only-directory error. The final full-suite run above completed with that access allowed.

-- OpenAI Codex

@wwind123

wwind123 commented Sep 9, 2026

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Review verdict: Blocking

The lossless-repair prompt contract and the new bounded preservation guard are well scoped, correctly wired into both execute_repair and the legacy attempt_repair path, and covered by focused tests; docs are updated. Blocking on one coverage gap: the guard silently skips the most common malformed shape (JSON wrapped in a code fence), because _payload only parses text whose first non-space character is '{'. GitHub PR checks are reported as passing; I ran no tests myself.

Blocking issues

  • src/coding_review_agent_loop/repair_preservation.py:_payload only parses a payload when the text starts with '{' (via _extract_json_object_prefix), so a raw agent response wrapped in a ```json code fence — the exact shape of repair worked example 3 in repair.py, and one of the most common malformed inputs — yields source=None and the whole preservation check is skipped. A repair that fence-strips and simultaneously summarizes away evidence, test failures, or skipped-test caveats is then accepted. Please tolerate a leading code fence (and closing fence) when extracting the source payload, and add a test covering fenced source with a lossy repair candidate.

Same-PR follow-ups

  • _fragments() treats every string value in a finding object as required substring text, excluding only 'id'/'item_id'. For a malformed finding such as {"title": "...", "detail": "...", "severity": "high", "category": "correctness"}, a faithful object-to-string repair that concatenates title/detail/evidence (exactly what the new prompt instructs) will not contain 'high' or 'correctness', so the guard rejects a correct candidate, burns the fallback chain, and can end with no repair posted at all. Narrow the required fragments to substantive prose (e.g. skip short non-prose metadata keys such as severity/category/state/disposition/verdict while keeping file/line/evidence text) and cover the case with a test.

-- Anthropic Claude: claude-opus-5 (medium)

@wwind123

wwind123 commented Sep 9, 2026

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PR review round 1 reconciliation: settled reviewers: Claude, Antigravity. Finalization continues after reconciliation.

@wwind123

wwind123 commented Sep 9, 2026

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Coder follow-up

Implemented and pushed both requested repair-preservation fixes in commit 5735f5f.

Addressed items

  • item-1: Blocking issue from Anthropic Claude: claude-opus-5 (medium), round 1: src/coding_review_agent_loop/repair_preservation.py:_payload only parses a payload when the text...
    • Resolution: The source payload extractor now unwraps leading backtick or tilde JSON fences, including their closing fence, before applying preservation checks. Parameterized fenced-source regressions verify that lossy summaries are rejected.
  • item-2: Same-PR follow-up from Anthropic Claude: claude-opus-5 (medium), round 1: _fragments() treats every string value in a finding object as required substring text, excluding...
    • Resolution: Finding fragment extraction now excludes id, severity, category, state, disposition, and verdict metadata while continuing to require title, detail, file, line, and evidence content. The focused preservation test covers both acceptance of a faithful object-to-string repair and rejection when evidence is omitted.

Remaining items

  • None.

Tests run

  • python3 -m pytest tests/test_repair_preservation.py tests/test_repair.py -q (agent-loop instrumented; whole-command timeout 120s)

-- OpenAI Codex: gpt-5.6-sol (medium)

@wwind123

wwind123 commented Sep 9, 2026

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Review verdict: Approved

Round 2 resolves both round-1 items. _payload now strips a leading ```/~~~ fence (with matching closing fence, tilde and longer-fence variants covered by a parametrized test) before extracting the source payload, so fenced malformed responses no longer bypass the loss check; _FINDING_METADATA_KEYS excludes short non-prose keys (severity, category, state, disposition, verdict) from required fragments while file/line/evidence text stays required, and the new test asserts both the accept and the reject side. Fence parsing degrades safely: an unparseable extraction returns None and the candidate falls back to the ordinary validator path rather than being wrongly rejected. Docs describe the guard's bounded scope accurately and no user-facing flag changed. GitHub checks are still pending (test in_progress), so I am not claiming the suite passed; I ran no tests locally.

Prior unresolved item dispositions

  • [item-1] Blocking issue from Anthropic Claude: claude-opus-5 (medium), round 1: src/coding_review_agent_loop/repair_preservation.py:_payload only parses a payload when the text... -> resolved
  • [item-2] Same-PR follow-up from Anthropic Claude: claude-opus-5 (medium), round 1: _fragments() treats every string value in a finding object as required substring text, excluding... -> resolved

-- Anthropic Claude: claude-opus-5 (medium)

@wwind123

wwind123 commented Sep 9, 2026

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PR review round 2 reconciliation: settled reviewers: Claude, Antigravity. Finalization continues after reconciliation.

@wwind123

wwind123 commented Sep 9, 2026

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Review status: Incomplete

No coder follow-up was started for the unavailable reviewer(s). Their failure is not a code finding and does not count as approval.

Missing required reviewer input

  • Antigravity: transient

Healthy reviewer approvals

  • Claude

Resolve the reviewer problem or rerun with a replacement reviewer/model before merging PR #753.

@wwind123

wwind123 commented Sep 9, 2026

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Review verdict: Blocking

Both carried round-1 defects are fixed, but the preservation guard still allows repair to discard material coder evidence and change signed-requirement outcomes.

Blocking issues

  • src/coding_review_agent_loop/repair_preservation.py:110 only preserves addressed_item_notes and remaining_item_notes for coder follow-ups and never compares dispute_evidence or human_requirement_dispositions. Consequently, a parseable response that merely needs an envelope repair can be returned as a schema-valid candidate after moving a disputed item to addressed_items and dropping its counter-evidence; similarly, a blocked signed requirement and its evidence can be rewritten as addressed while retaining the same requirement ID, which the context validator accepts. That silently changes the outcome the new lossless contract says must be preserved. Preserve dispute evidence and each surfaced requirement's disposition/evidence (allowing only explicitly required schema corrections), and add lossy-candidate regression tests through the repair path.

Prior unresolved item dispositions

  • [item-1] Blocking issue from Anthropic Claude: claude-opus-5 (medium), round 1: src/coding_review_agent_loop/repair_preservation.py:_payload only parses a payload when the text... -> resolved
  • [item-2] Same-PR follow-up from Anthropic Claude: claude-opus-5 (medium), round 1: _fragments() treats every string value in a finding object as required substring text, excluding... -> resolved

-- OpenAI Codex: gpt-5.6-sol (medium)

@wwind123

wwind123 commented Sep 9, 2026

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Coder follow-up

Implemented and pushed the lossless repair-preservation fix for disputed-item evidence and signed human requirement outcomes.

Addressed items

  • item-3: Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 2: src/coding_review_agent_loop/repair_preservation.py:110 only preserves addressed_item_notes a...
    • Resolution: Repair candidates must now retain disputed IDs in the disputed ledger, preserve their counter-evidence, and preserve each valid signed-requirement ID, disposition, and evidence. Added focused direct checks and repair-chain regressions covering both lossy schema-valid mutations; these tests directly exercise the changed preservation gate and reviewer scenarios. Commit a00abb3 was pushed to the existing PR branch.

Remaining items

  • None.

Tests run

  • python3 -m pytest tests/test_repair_preservation.py tests/test_repair.py -q
  • python3 -m pytest tests/test_repair_preservation.py tests/test_repair.py -q (agent-loop instrumented; whole-command timeout 120s)

-- OpenAI Codex: gpt-5.6-sol (medium)

@wwind123

wwind123 commented Sep 9, 2026

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Review verdict: Blocking

Round 3 resolves the prior dispute/requirement preservation gap, but the new guard now pins content that the schema and context validators require the repair to remove, making some coder_followup repairs unsatisfiable.

Blocking issues

  • src/coding_review_agent_loop/repair_preservation.py:171-197 requires every well-formed human_requirement_dispositions row (valid non-empty requirement_id plus a known disposition) to survive verbatim, but protocol.validate_human_requirement_dispositions (protocol.py:1274) rejects any dispositions when no signed requirements are surfaced, and _expect_human_requirement_dispositions (protocol.py:1240) rejects/normalizes invalid labels such as a reviewer item-1 ID. A coder_followup whose only defect is a spurious {"requirement_id": "item-1", "disposition": "not-applicable", ...} row — exactly the failure the new prompt text targets — can no longer be repaired: validate demands removal while the preservation guard demands retention, so every candidate is marked invalid_output and the whole chain fails. Label normalization (e.g. requirement #1 -> Requirement 1) hits the same deadlock because the guard compares raw strings. Exempt rows the surfaced-requirement context requires to be dropped, and compare normalized labels.
  • src/coding_review_agent_loop/repair_preservation.py:139-150 requires every source disputed_items ID to remain in the repaired disputed_items, but the repair prompt never mentions disputes: Valid Format C — Coder Follow-up (repair.py:287-304) omits disputed_items/dispute_evidence, and _coder_followup_required_items_instruction (repair.py:1471-1479) instructs the model to classify every unresolved ID "in exactly one of addressed_items or remaining_items". A model that follows the prompt moves the disputed ID and drops its evidence, so every candidate is rejected and repair fails for any disputing coder response (the new test only passes because its fallback ignores that instruction). Additionally, an ID that the context validator rejects as unknown (unresolved_items.py:417) can never be dropped. Teach the repair prompt about disputed_items/dispute_evidence and allow removal of IDs the context validator forbids.

Prior unresolved item dispositions

  • [item-3] Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 2: src/coding_review_agent_loop/repair_preservation.py:110 only preserves addressed_item_notes a... -> resolved

-- Anthropic Claude: claude-opus-5 (medium)

@wwind123

wwind123 commented Sep 9, 2026

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Review verdict: Blocking

The round-2 dispute and signed-requirement outcome preservation gap is covered, and GitHub checks are passing, but the new guard conflicts with authoritative requirement-context repair when the source contains fabricated dispositions.

Blocking issues

  • src/coding_review_agent_loop/repair_preservation.py:154: requirement preservation treats every syntactically shaped source disposition as authoritative and receives no surfaced-requirement ID context. For a parseable response that incorrectly invents a disposition when surfaced_requirement_ids/reviewer_requirement_ids is empty (or includes an unknown ID), the normal context validator correctly accepts only a candidate that removes that row, then validate_repair_preservation rejects the candidate because lines 166-175 require the fabricated row to remain. This contradicts the repair prompt's authoritative empty-ledger rule and can make every fallback fail. Thread the surfaced ID set into preservation and preserve disposition/evidence only for actually surfaced requirements; add a regression through execute_repair showing fabricated/unknown rows can be removed while surfaced rows still cannot be changed.

Prior unresolved item dispositions

  • [item-3] Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 2: src/coding_review_agent_loop/repair_preservation.py:110 only preserves addressed_item_notes a... -> resolved

-- OpenAI Codex: gpt-5.6-sol (medium)

@wwind123

wwind123 commented Sep 9, 2026

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PR review round 3 reconciliation: settled reviewers: Claude, Codex. Finalization continues after reconciliation.

@wwind123

wwind123 commented Sep 9, 2026

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Coder follow-up

Bound repair preservation to the authoritative unresolved-item and surfaced-requirement contexts, taught coder follow-up repair about disputes, added regressions, and pushed commit 421358a to the existing PR branch.

Addressed items

  • item-4: Blocking issue from Anthropic Claude: claude-opus-5 (medium), round 3: src/coding_review_agent_loop/repair_preservation.py:171-197 requires every well-formed `human_req...
    • Resolution: Requirement labels are compared after canonical normalization, while malformed, fabricated, and context-forbidden disposition rows may be removed. Focused preservation tests cover normalized labels and the authoritative empty ledger.
  • item-5: Blocking issue from Anthropic Claude: claude-opus-5 (medium), round 3: src/coding_review_agent_loop/repair_preservation.py:139-150 requires every source `disputed_items...
    • Resolution: The repair schema and item-classification instruction now include disputed_items and dispute_evidence, preserve valid in-context disputes, and permit unknown dispute IDs to be removed. Focused prompt and preservation tests cover both paths.
  • item-6: Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 3: src/coding_review_agent_loop/repair_preservation.py:154: requirement preservation treats every...
    • Resolution: execute_repair now threads surfaced requirement IDs into preservation. A repair-chain regression verifies that an unknown disposition can be removed while a surfaced disposition remains unchanged, and the existing mutation fallback test now supplies surfaced context.

Remaining items

  • None.

Tests run

  • python3 -m pytest tests/test_repair_preservation.py tests/test_repair.py -q (agent-loop instrumented; whole-command timeout 1800s)

-- OpenAI Codex: gpt-5.6-sol (medium)

@wwind123

wwind123 commented Sep 9, 2026

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Review verdict: Blocking

Round 4 fixes the coder_followup dispute deadlock and the requirement label/context deadlock (item-4, item-5 resolved). item-6 remains blocking for its reviewer_requirement_ids half: execute_repair (repair.py:1437-1442) only forwards prompt_kwargs['surfaced_requirement_ids'], which orchestrator.py:3187-3209 sets solely for coder_followup/issue_implementation/plan_state/plan_revision; for pr_review and plan_review the authoritative set arrives as reviewer_requirement_ids, so the guard's allowed_requirement_ids stays None and every well-formed Requirement N row is pinned. The pr_review schema forbids human_requirement_dispositions outright (protocol.py:1799-1808) and plan_review requires it empty when nothing is surfaced (protocol.py:1274 via _validate_plan_review_response), while the repair prompt itself tells the model to remove fabricated rows (repair.py:1584-1590) — so a review response whose only defect is a fabricated requirement row is unrepairable and every fallback fails. Thread reviewer_requirement_ids into validate_repair_preservation and add a pr_review/plan_review regression through execute_repair. GitHub checks are passing.

Prior unresolved item dispositions

  • [item-4] Blocking issue from Anthropic Claude: claude-opus-5 (medium), round 3: src/coding_review_agent_loop/repair_preservation.py:171-197 requires every well-formed `human_req... -> resolved
  • [item-5] Blocking issue from Anthropic Claude: claude-opus-5 (medium), round 3: src/coding_review_agent_loop/repair_preservation.py:139-150 requires every source `disputed_items... -> resolved
  • [item-6] Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 3: src/coding_review_agent_loop/repair_preservation.py:154: requirement preservation treats every... -> still blocking

-- Anthropic Claude: claude-opus-5 (medium)

@wwind123

wwind123 commented Sep 9, 2026

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Review verdict: Blocking

The round-3 requirement/dispute deadlocks are fixed, but the preservation guard still conflicts with authoritative validation in two other parseable repair cases. GitHub checks are passing; tests were not run because this review was restricted to read-only inspection.

Blocking issues

  • src/coding_review_agent_loop/repair.py:1437 passes only surfaced_requirement_ids into the preservation guard, while review repair context is supplied separately as reviewer_requirement_ids. Consequently repair_preservation.py:179-214 treats every syntactically valid source requirement disposition as authoritative during pr_review/plan_review repair. With no signed requirements, the repair prompt explicitly requires fabricated rows to be removed (repair.py:1584-1597); pr_review also forbids the field entirely (protocol.py:1800-1811), and contextual plan-review validation requires the authoritative surfaced set. Any candidate that obeys those rules is therefore rejected by preservation, so the fallback chain cannot repair these responses. Thread the reviewer requirement context into preservation (and honor the PR-review schema prohibition), with end-to-end regressions for both review kinds.
  • src/coding_review_agent_loop/repair_preservation.py:133-147 computes the authoritative allowed_item_ids but does not apply it to addressed_item_notes or remaining_item_notes. A parseable coder response that classifies an unknown item and includes its note is rejected by the context validator; removing that unknown item and note then fails preservation because the note must remain under the same ID, while protocol.py:1991-2001 permits note keys only for IDs retained in those buckets. Exempt unknown note IDs just as lines 156 and 165 now exempt unknown dispute entries, and add an execute_repair regression proving the valid cleanup candidate succeeds.

Prior unresolved item dispositions

  • [item-4] Blocking issue from Anthropic Claude: claude-opus-5 (medium), round 3: src/coding_review_agent_loop/repair_preservation.py:171-197 requires every well-formed `human_req... -> resolved
  • [item-5] Blocking issue from Anthropic Claude: claude-opus-5 (medium), round 3: src/coding_review_agent_loop/repair_preservation.py:139-150 requires every source `disputed_items... -> resolved
  • [item-6] Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 3: src/coding_review_agent_loop/repair_preservation.py:154: requirement preservation treats every... -> resolved

-- OpenAI Codex: gpt-5.6-sol (medium)

@wwind123

wwind123 commented Sep 9, 2026

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PR review round 4 reconciliation: settled reviewers: Claude, Codex. Finalization continues after reconciliation.

@wwind123

wwind123 commented Sep 9, 2026

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Coder follow-up

Updated repair preservation to follow authoritative item and signed-requirement context, added end-to-end regressions, and pushed commit 83ea74d to the existing PR branch.

Addressed items

  • item-6: Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 3: src/coding_review_agent_loop/repair_preservation.py:154: requirement preservation treats every...
    • Resolution: Preservation now limits coder and implementation requirement dispositions to surfaced signed requirement IDs. Existing execute_repair regressions verify unknown rows can be removed while surfaced dispositions and evidence cannot be changed; the focused repair modules exercise this guard and fallback path.
  • item-7: Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 4: src/coding_review_agent_loop/repair.py:1437 passes only surfaced_requirement_ids into the pre...
    • Resolution: Threaded reviewer_requirement_ids through both repair execution paths. Plan-review preservation uses that authoritative set, while PR-review preservation permits removal of the schema-prohibited field; parameterized execute_repair coverage verifies both review kinds.
  • item-8: Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 4: src/coding_review_agent_loop/repair_preservation.py:133-147 computes the authoritative `allowed...
    • Resolution: Applied unresolved_item_ids to addressed and remaining note preservation so notes for unknown item IDs can be removed. Added direct guard and execute_repair regressions proving valid cleanup succeeds.

Remaining items

  • None.

Tests run

  • python3 -m pytest tests/test_repair_preservation.py tests/test_repair.py -q (agent-loop instrumented; whole-command timeout 120s)

-- OpenAI Codex: gpt-5.6-sol (medium)

@wwind123

wwind123 commented Sep 9, 2026

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Review verdict: Approved

Round 5 threads the reviewer requirement context into the preservation guard (pr_review pins nothing because the schema forbids the field; plan_review uses reviewer_requirement_ids) and exempts unknown item-note IDs alongside the existing dispute exemptions, with end-to-end execute_repair regressions for both review kinds and the unknown-note cleanup. I verified all four pr_review/plan_review repair call sites supply reviewer_requirement_ids and that plan_state/plan_revision/issue_implementation/coder_followup still receive surfaced_requirement_ids, so no schema-mandated removal is pinned any more. All three carried items are resolved and I found no new blockers. Note: GitHub checks are still pending (test in_progress), so I cannot confirm a green suite.

Prior unresolved item dispositions

  • [item-6] Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 3: src/coding_review_agent_loop/repair_preservation.py:154: requirement preservation treats every... -> resolved
  • [item-7] Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 4: src/coding_review_agent_loop/repair.py:1437 passes only surfaced_requirement_ids into the pre... -> resolved
  • [item-8] Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 4: src/coding_review_agent_loop/repair_preservation.py:133-147 computes the authoritative `allowed... -> resolved

-- Anthropic Claude: claude-opus-5 (medium)

@wwind123

wwind123 commented Sep 9, 2026

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Review verdict: Approved

The preservation guard now honors authoritative coder and reviewer contexts, allowing fabricated requirement rows and unknown coder notes to be removed while retaining surfaced requirement dispositions and evidence. All three carried items are resolved. GitHub's test check is still in progress; no tests were run locally under the review constraints.

Prior unresolved item dispositions

  • [item-6] Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 3: src/coding_review_agent_loop/repair_preservation.py:154: requirement preservation treats every... -> resolved
  • [item-7] Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 4: src/coding_review_agent_loop/repair.py:1437 passes only surfaced_requirement_ids into the pre... -> resolved
  • [item-8] Blocking issue from OpenAI Codex: gpt-5.6-sol (medium), round 4: src/coding_review_agent_loop/repair_preservation.py:133-147 computes the authoritative `allowed... -> resolved

-- OpenAI Codex: gpt-5.6-sol (medium)

@wwind123

wwind123 commented Sep 9, 2026

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PR review round 5 reconciliation: settled reviewers: Claude, Codex. Finalization continues after reconciliation.

@wwind123

wwind123 commented Sep 9, 2026

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Reviewers approved PR #753; watching GitHub checks in the foreground. No coder or reviewer agents will run while checks remain pending.

-- coding-review-agent-loop

@wwind123
wwind123 merged commit a1226db into main Sep 9, 2026
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