* fix(rag): per-index chunk floors — journals and learnings were never indexed The global 200-char garbage floor (sized for code/doc chunks) discarded every templated journal note and most distilled org-memory lessons, silently: ingest returned success with zero chunks, so agent journals and learnings were never retrievable via RAG. IndexConfig now carries a per-type min_chunk_length (journals 40, learnings 80, others unchanged). * fix(mcp): git-readonly tools default project_slug from the container env Agents 404ed /api/git/status with 'Project not found: roboco' — the tools made the LLM supply the slug and six doc examples taught a slug that matches no registered project. The tools now fall back to the ROBOCO_PROJECT_SLUG the orchestrator already injects, and the stale examples are corrected. * feat(rag): startup backfill re-ingests zero-chunk journals and learnings Before the per-index chunk-floor fix, ingest() returned success with chunk_count=0 for undersized content: every historical journal entry and distilled learning below the (then-global) 200-char floor was durably recorded in journal_entries but silently never got a chunks_journals / chunks_learnings row, and no exception meant the existing dead-letter (rag_index_failures) never saw it either. Extends the startup reconcile (roboco/api/app.py _reconcile_rag_indexes) with a new pass: backfill_unindexed_journals (roboco/services/ rag_index_failures.py) queries journal_entries for rows missing from each vector table and re-ingests them through the same live code paths (_reindex_journal_entry / record_learning). Journals and learnings are backfilled independently since a LEARNING entry can clear the (lower) JOURNALS floor while still failing the (higher) LEARNINGS floor — a learning's doc_source is a content hash, not the entry id, so presence there is checked by hashing each candidate the same way LearningsIndexPlugin.record_learning does and batch-querying chunks_learnings for those exact sources. Bounded to 200 rows per pass per boot (converges over restarts on a larger backlog) and best-effort per row (one failure never aborts the pass). Rows still under the current floor are excluded by a length filter in the SELECT so they are never retried forever, and private entries are excluded from the JOURNALS pass exactly like the live indexing path. * test(rag): scope backfill assertions to their own rows --------- Co-authored-by: Renn F <rennf93@users.noreply.github.com>
3.6 KiB
QA Review Workflow
Preconditions
- Task is in
awaiting_qastatus - The developer's PR is open (the choreographer opened it during their
open_pr(task_id)call) - You are not the original developer of the task (self-review guard)
Steps
# 1. Pick up an awaiting-QA task
give_me_work()
# 2. Claim it for review (auto-checks-out the dev's branch in your
# workspace; auto-records original_developer for the self-review
# guard at pass/fail time)
claim_review(task_id="<task>")
# 3. Inspect the diff (project_slug is optional — omit it and your
# own project is used)
roboco_git_diff()
roboco_git_log(branch="<dev's branch>")
# 4. Run the relevant suite
# Backend: uv run pytest && uv run ruff check . && uv run mypy roboco/
# Frontend: pnpm test && pnpm lint && pnpm typecheck
# 5. Capture evidence (survives compaction; PMs can audit later)
note(text="Verified AC #1 (429 on 101st req), #2 (TTL match), #3 "
"(boundary tests). pytest 1635 passed; ruff clean; mypy clean.",
scope="evidence",
task_id="<task>")
There is no roboco_task_claim / _start / _qa_pass / _qa_fail and no roboco_git_checkout. The verbs above (claim_review, pass, fail) are the actual surface; branch checkout is a side-effect of claim_review.
You always claim the review yourself — the dispatcher spawns you against an awaiting_qa task without pre-claiming it. claim_review records your claim but keeps the status at awaiting_qa (there is no claimed detour), so pass/fail find the status they demand.
Review Checklist
Before deciding:
- Read the dev's notes and journal entries on the task
- Walk every acceptance criterion against the diff
- Tests pass on the dev's branch
- Lint / typecheck clean
- No layer-separation regressions (routes/ vs services/ etc.)
- No silenced rules (
# noqa,# type: ignore,# pragma: no cover) - Code matches project standards in CLAUDE.md
Passing QA
pass(
task_id="<task>",
notes=(
"All 3 acceptance criteria verified against the diff. "
"pytest 1635 passed; ruff and mypy clean. "
"PR #123."
),
)
Result:
- Task advances to
awaiting_documentation - Documenter and the original dev work in parallel from here
- The PR stays open; it will be merged later by the Cell PM via
complete(task_id, ...)
Failing QA
fail(
task_id="<task>",
issues=[
"Bug: 100th request also returns 429 — boundary off-by-one.",
"Missing: tests for Redis-down failover path; AC #3 unmet.",
],
)
Result:
- Task returns to
needs_revision - Re-assigned to the original developer (recorded at submit-for-qa time)
- Developer receives a notification
Reflect (recommended)
After pass or fail, journal the review for future QA agents to learn from:
note(
text=(
"Reviewed task <id>. Pattern: rate-limiter boundary tests "
"should always assert the off-by-one — caught it in this "
"review and last week's. Worth a regression checklist item."
),
scope="reflect",
task_id="<task>",
)
Self-Review Prevention
The system blocks QA from reviewing their own dev work. The original developer is recorded in quick_context at submit-for-qa time. If qa_agent_id == original_developer_id, all QA actions on the task return not_authorized:
claim_review— FORBIDDENpass— FORBIDDEN (defence-in-depth even if claim somehow succeeded)fail— FORBIDDEN (same)
Enforced at the gateway layer in roboco/services/gateway/choreographer/_impl.py.