5 Commits

Include renames

Author	SHA1	Message	Date
bvandeusenandClaude Opus 5	d5ac8408f6	feat(telemetry): record WHAT the bar turned away, not only how close it came (#3807) ... #3670 added `best_available_score` so a threshold could be judged from its rejections. It records how CLOSE the bar came to firing and not WHAT it refused, and that is the half a decision actually needs. Live, pre_tool_rule sits at a ~0.72 bar with a near-miss p90 of 0.7071 — about 117 declines a day within 0.013 of firing. Dropping to 0.707 would take that arm from 22 hits a day to roughly 139: six-fold, on a surface that runs before every Bash call. The percentile says the mass is there. Nothing said whether it was worth showing. NEITHER OBVIOUS INSTRUMENT ANSWERS IT. Pull-through cannot: the injected rule line already carries title and trigger, so a session can comply without ever calling get_rule, and rule pull-through understates usefulness by construction. Reading the rejected records can — and `result_ids` holds only what was RETURNED, so on a zero-result call the near-missed record had no name at all. So the id, from the SAME ranked candidate as the score. Both searches unpack `best` once and read both fields off it, because splitting that into two expressions is exactly how a later edit pairs a score with its neighbour's id — and a score attached to the wrong record is worse than no id, since it invites judging the wrong one and concluding the bar is fine. write_path withholds the id on the same condition it withholds the score (#3739): a surviving id beside a null score names a record without saying what it scored, the pair disagreeing in the other direction. THE READ PATH IS A LISTING, NOT A STATISTIC — an id cannot be percentiled, and a reader tuning a bar needs to go and read the records. Opt-in via `near_miss_samples` (0-20, default 0) so the ordinary readout keeps its size, and deliberately NOT a window function: this module's one production outage was a grouped query Postgres rejected, swallowed by the broad except, every counter reading zero while the mocked tests passed (#2663). One flat ordered query, overfetched, bucketed in Python — the shape that lesson prescribes. Migration 0097, nullable and unbackfilled. Not a foreign key: the table spans record types and `source` says which, exactly as result_ids works. The integration guard pins the listing as PER SOURCE. A global LIMIT would let a noisy source eat the whole quota and leave the surface being tuned showing nothing — which reads as "nothing was close", the misreading this milestone has spent itself correcting. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011cPyzNnegXHr5iRMzzy5KJ	2026-09-09 21:24:32 -04:00
bvandeusenandClaude Opus 5	e7c1af32a0	fix(telemetry): the bar can only be judged from what it rejected (#3670) ... `cleared_threshold` was documented as the number to read first. It was a tautology. The search applies the threshold before returning, so every returned result cleared it by construction and a call with no results has no top_score to compare — the condition was true exactly when `result_count > 0`. It was `calls - zero_result_calls` under a name that promised a second opinion, and `zero + cleared == calls` held on all nineteen source/window readings ever taken, today's live seven included. The reading procedure built on it asked the reader to compare a number with itself, and a threshold change was unobservable through it: raise the bar and both numbers move together, so the field could never show a bar set too high. REPLACED, NOT JUST REMOVED. The question the table exists to answer is whether the bar is in the right place, and that is only answerable from the calls that returned NOTHING: how close did the best rejected candidate come? A 0.72 bar turning away a stream of 0.71s is set too high by a hair; the same bar turning away 0.30s is working. Both render as a zero-result call today and nothing separates them, because the losing score is discarded inside the search. So both searches now rank WITHOUT the bar and apply it in Python. The qualifying set is provably identical — rows arrive ordered by distance, so every above-bar row sorts ahead of every below-bar one, and an over-fetch that returned N above-bar rows returns the same N plus some losers. What changes is that the losers are visible instead of dropped in the query. `report` carries the score out without changing what a search RETURNS: eight of eleven call sites want hits and nothing else. New column (migration 0096), nullable and unbackfilled. A row written before this genuinely does not know, and a 0.0 would read as "the corpus held nothing remotely relevant" — a claim invented out of a caller's silence, which is the substitution this whole milestone corrects. The new aggregate is a percentile_cont WITHIN GROUP over a CASE, one step from the shape that produced #2663, where a rejected query was swallowed by the broad except and every counter read zero. It carries an integration guard for that reason: only real Postgres can say it parses, and the symptom of failure is silence. Also adds a guard that no int field in a bucket equals `calls - zero_result_calls`. That identity is what `cleared_threshold` satisfied for its whole life, and it survived because it had its own name and nobody added the two numbers beside it. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011cPyzNnegXHr5iRMzzy5KJ	2026-09-08 13:50:05 -04:00
bvandeusenandClaude Opus 5	8be555d6dd	feat(telemetry): tell a ranker decline from a repeat before the observation window opens (#3497) ... Making the rule arms log every call exposed a second ambiguity in the same row. `result_count == 0` is two unrelated events wearing one number: - the ranker found nothing above the bar — the only evidence a threshold is set too high; and - the ranker found only what this session had already been shown — which says nothing whatever about the bar. A long session excludes its way into the second, so the arm reads worse the longer it runs correctly. Rows written now carry the ambiguity permanently, which is why this lands before any watch period rather than after. `retrieval_logs.suppressed_count` (0095, nullable) holds what the caller dropped as already-shown. Both rule arms report it; they filter in Python and always know. The note arms pass exclusions INTO semantic_search_notes and never see what was dropped, so they store NULL. THE NULL IS LOAD-BEARING. It means "not measured here", and the readout renders it as `suppression: null` rather than a zeroed dict. Defaulting to 0 would let an unmeasured surface read as a perfectly clean one — the same substitution of an artifact for a measurement that #3311 made. No backfill, for the same reason: existing rows genuinely do not know. `retrieval_telemetry`'s `sources` gains `suppression` with `measured_calls`, `calls_with_suppression` and `zero_because_already_shown`; subtract the last from `zero_result_calls` for the true ranker declines. The MCP tool docstring says to read the two together and warns against reading the null as a zero. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011cPyzNnegXHr5iRMzzy5KJ	2026-09-03 21:12:38 -04:00
bvandeusenandClaude Fable 5	b0eda32575	refactor(models): one iso() for every to_dict timestamp; mixins replace hand-rolled created_at/updated_at (#2827, milestone 296 area 3) ... Reading all 28 models against each other: 54 `x.isoformat() if x else None` / `x.isoformat()` expressions in 23 to_dict methods, in two guarded/unguarded wordings, become iso() from models/base.py — uniform, and a row read before flush serialises as null instead of raising. Rulebook / RulebookTopic / Rule carried byte-identical copies of TimestampMixin's two columns; InvitationToken / PasswordResetToken / NoteUsageEvent carried CreatedAtMixin's — all six now use the mixin. AppLog and RetrievalLog keep their explicit created_at, commented: their composite index orders on `created_at.desc()`, which needs the column object in the class body. Schema-neutral (same column definitions) — no migration. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>	2026-08-21 11:17:42 -04:00
bvandeusenandClaude Opus 4.8	807f478cac	feat(search): retrieval telemetry — log every semantic retrieval ... Add retrieval_logs (migration 0068) + services/retrieval_telemetry with a fire-and-forget record_retrieval(), wired into the MCP search tool (source=mcp_search) and the REST search route (source=rest_search). Captures query, effective params, and the per-result score distribution so KB-injection thresholds can be tuned from data rather than guessed. Scribe: project 2, milestone 93, task 1032. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Xz4j1H7pjYSjKsEpgcNH5E	2026-06-22 20:10:15 -04:00