997527be4d
real_001 surfaced same-client+city queries bleeding across roles:
Q#2 (Forklift Operator @ Beacon Freight Detroit) recorded e-6193
in the playbook corpus. Q#5 (Pickers same client+city) and Q#10
(CNC Operator same client+city) embedded within 0.13-0.18 cosine of
Q#2's query — well inside the 0.20 inject threshold — so e-6193
injected on both, demoting the cold-pass-correct workers.
Root cause: the inject distance threshold isn't tight enough on
the same-client+city cluster. Cosine collapses queries that share
city + client + count-token + time-token regardless of role. The
existing judge gate is per-injection at record time and doesn't
fire at retrieve time.
Fix: structural role gate in front of both Shape A boost and
Shape B inject. PlaybookEntry gains Role; SearchRequest gains
QueryRole. When both are non-empty and differ under roleEqual's
case+plural normalization, the entry is rejected before BoostFactor
or judge-gate logic runs.
Backward-compat: empty role on either side disables the gate —
preserves behavior for the lift suite's free-form multi-constraint
queries that have no clean single role. Caller-supplied (not
inferred), so existing recordings unaffected.
Wire-through:
- internal/matrix/playbook.go: Role field, NewPlaybookEntryWithRole,
roleEqual helper with plural+case normalization
- internal/matrix/retrieve.go: QueryRole on SearchRequest, threaded
to both ApplyPlaybookBoost + InjectPlaybookMisses
- cmd/matrixd/main.go: role on POST /matrix/playbooks/record + bulk
- scripts/playbook_lift/main.go: extractRoleFromNeed regex pulls
role from "Need N {role}{s} in" queries (the fill_events shape);
free-form queries fall back to empty (gate disabled)
Tests (5 new):
- TestInjectPlaybookMisses_RoleGateRejectsCrossRole: exact Q#10
scenario (distance 0.135, recorded "Forklift Operator", query
"CNC Operator") — locks the bleed at unit level
- TestInjectPlaybookMisses_RoleGateAllowsSameRole: Forklift Operator
recording fires on Forklift Operators query (plural normalization)
- TestInjectPlaybookMisses_RoleGateBackwardCompat: empty Role on
either side = gate disabled, preserves current behavior
- TestApplyPlaybookBoost_RoleGateRejectsCrossRole: Shape A defense
in depth — boost doesn't fire on cross-role even when answer is
in cold top-K
- TestRoleEqual_PluralAndCase: case + -s + -es plural normalization
Verification (real_002, same query set as real_001):
- Q#5 Pickers @ Beacon Freight: e-6193 → e-8499 (no bleed)
- Q#10 CNC Operator @ Beacon Freight: e-6193 → w-2404 (no bleed)
- Discoveries + lifts unchanged at 2 each (same-role lift still fires)
- Mean Δdist tightens from -0.127 to -0.040 (boosts no longer
pulling distances through the floor on cross-role mismatches)
Findings: reports/reality-tests/real_002_findings.md.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
87 lines
4.3 KiB
Markdown
87 lines
4.3 KiB
Markdown
# Playbook-Lift Reality Test — Run real_002
|
||
|
||
**Generated:** 2026-05-01T01:32:23.868772067Z
|
||
**Judge:** `qwen2.5:latest` (Ollama, resolved from config [models].local_judge)
|
||
**Corpora:** `workers,ethereal_workers`
|
||
**Workers limit:** 5000
|
||
**Queries:** `tests/reality/real_coord_queries.txt` (10 executed)
|
||
**K per pass:** 10
|
||
**Paraphrase pass:** disabled
|
||
**Re-judge pass:** disabled
|
||
**Evidence:** `reports/reality-tests/playbook_lift_real_002.json`
|
||
|
||
---
|
||
|
||
## Headline
|
||
|
||
| Metric | Value |
|
||
|---|---:|
|
||
| Total queries run | 10 |
|
||
| Cold-pass discoveries (judge-best ≠ top-1) | 2 |
|
||
| Warm-pass lifts (recorded playbook → top-1) | 2 |
|
||
| No change (judge-best already top-1, no playbook needed) | 8 |
|
||
| Playbook boosts triggered (warm pass) | 2 |
|
||
| Mean Δ top-1 distance (warm − cold) | -0.0401097 |
|
||
|
||
|
||
|
||
**Verbatim lift rate:** 2 of 2 discoveries became top-1 after warm pass.
|
||
|
||
---
|
||
|
||
## Per-query results
|
||
|
||
| # | Query | Cold top-1 | Cold judge-best (rank/rating) | Recorded? | Warm top-1 | Judge-best warm rank | Lift |
|
||
|---|---|---|---|---|---|---|---|
|
||
| 1 | Need 5 Warehouse Associates in Kansas City MO starting at 09 | e-2975 | 1/4 | ✓ e-5389 | e-5389 | 0 | **YES** |
|
||
| 2 | Need 1 Forklift Operator in Detroit MI starting at 15:00 for | e-8321 | 3/5 | ✓ w-3098 | w-3098 | 0 | **YES** |
|
||
| 3 | Need 4 Loaders in Indianapolis IN starting at 12:00 for Midw | e-4537 | 0/4 | — | e-4537 | 0 | no |
|
||
| 4 | Need 3 Warehouse Associates in Fort Wayne IN starting at 17: | e-5954 | 3/3 | — | e-5954 | 3 | no |
|
||
| 5 | Need 4 Pickers in Detroit MI starting at 13:30 for Beacon Fr | e-8499 | 0/5 | — | e-8499 | 0 | no |
|
||
| 6 | Need 2 Packers in Joliet IL starting at 09:30 for Parallel M | e-9191 | 0/2 | — | e-9191 | 0 | no |
|
||
| 7 | Need 3 Assemblers in Flint MI starting at 08:30 for Heritage | w-4124 | 0/2 | — | w-4124 | 0 | no |
|
||
| 8 | Need 3 Packers in Flint MI starting at 12:30 for Parallel Ma | e-6019 | 7/2 | — | e-6019 | 7 | no |
|
||
| 9 | Need 1 Shipping Clerk in Flint MI starting at 17:00 for Pion | w-3988 | 1/3 | — | w-3988 | 1 | no |
|
||
| 10 | Need 1 CNC Operator in Detroit MI starting at 17:30 for Beac | w-2404 | 0/5 | — | w-2404 | 0 | no |
|
||
|
||
---
|
||
|
||
## Honesty caveats
|
||
|
||
1. **Judge IS the ground truth proxy.** Without human-labeled relevance, the LLM
|
||
judge's verdict is what defines "best." If `` rates badly,
|
||
the lift number is meaningless. To validate the judge itself, sample 5–10
|
||
verdicts manually and check agreement.
|
||
2. **Score-1.0 boost = distance halved.** Playbook math is
|
||
`distance' = distance × (1 - 0.5 × score)`. Lift requires the judge-best
|
||
result's pre-boost distance to be ≤ 2× the cold top-1's distance, otherwise
|
||
even halving doesn't promote it. Tight clusters → little visible lift.
|
||
3. **Verbatim vs paraphrase.** The verbatim lift rate (above) is the cheap
|
||
case — same query, recorded playbook, expected boost. The paraphrase
|
||
pass (when enabled) is the actual learning property: similar-but-different
|
||
queries hitting a recorded playbook. Compare verbatim and paraphrase
|
||
lift rates — paraphrase should be lower (semantic-distance gates some
|
||
playbook hits) but non-zero is the meaningful signal.
|
||
4. **Multi-corpus skew.** Default corpora=`workers,ethereal_workers` — if all judge-best
|
||
results land in one corpus, the matrix layer's purpose isn't being tested.
|
||
Check per-corpus distribution in the JSON.
|
||
5. **Judge resolution.** This run used `qwen2.5:latest` from
|
||
config [models].local_judge.
|
||
Bumping the judge for run #N+1 means editing one line in lakehouse.toml.
|
||
6. **Paraphrase generation also uses the judge.** The same model that rates
|
||
relevance also rephrases queries. A judge that's bad at rating staffing
|
||
queries is probably also bad at rephrasing them. Worth sanity-checking
|
||
a sample of `paraphrase_query` values in the JSON before trusting the
|
||
paraphrase lift number.
|
||
|
||
## Next moves
|
||
|
||
- If lift rate ≥ 50% of discoveries: matrix layer + playbook is doing real
|
||
work. Move to paraphrase queries + tag-based boost (currently ignored).
|
||
- If lift rate < 20%: investigate why — judge variance, distance gap too
|
||
wide, or playbook math too gentle. The score=1.0 / 0.5× formula may need
|
||
retuning.
|
||
- If discovery rate (cold judge-best ≠ top-1) is itself low: cosine is
|
||
already close to optimal on this query distribution. Either the corpus
|
||
is too narrow or the queries are too easy.
|