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profit ab3b857c7f Merge remote-tracking branch 'origin/main' into test/enrich-prd-pipeline
# Conflicts:
#	auditor/audit.ts
#	auditor/checks/inference.ts
#	auditor/checks/kb_query.ts
#	auditor/claim_parser.ts
#	tests/real-world/scrum_master_pipeline.ts
2026-04-23 00:29:22 -05:00
profit 56dbfb7d03 fact_extractor: project context + fixed verifier-verdict parser
lakehouse/auditor 8 warnings — see review
Two bundled changes. Both came out of J's observation that the
verifier was defaulting to UNVERIFIABLE on domain-specific facts
because it had no idea what Lakehouse was, which project's code it
was reading, or what framework the types belonged to.

1. Project context preamble. Added docs/AUDITOR_CONTEXT.md — a <400-
   word concise description of the project (crates, services,
   architecture phases, the auditor's role itself). fact_extractor
   reads it once, caches it, prepends it to the extract prompt as a
   "PROJECT CONTEXT (for grounding; do NOT extract from this)"
   section. Both extractor and verifier now see this context, so
   statements like "aggregate<T> returns Map<string, AggregateRow>"
   get grounded as "this is a TypeScript function in the Lakehouse
   auditor subsystem" and the verifier can reason about plausibility
   instead of guessing.

2. Verifier-verdict parser fix. Gemma2's output format varies between
   "**Verdict:** CORRECT" and just "* **CORRECT**" inline (observed
   variance across runs). The old regex required "Verdict:" as a
   label and missed the second format — causing all verdicts to
   stay UNCHECKED. Replaced with a two-pass approach: find each
   fact section start ("**N.**" or "N."), slice to the next section,
   scan the slice for the first CORRECT|INCORRECT|UNVERIFIABLE
   token. Handles both formats plus unfenced fallback.

Verified: 4-fact test extraction went from 0/4 verdicts scored
(pre-fix) to 2/4 CORRECT + 2/4 UNVERIFIABLE (post-fix). The 2
UNVERIFIABLE cases are domain-specific code behavior the verifier
legitimately can't confirm without reading source — correct stance,
not a parser miss.

No new consensus modes yet. J suggested adding codereview or
validator as a second pass; holding until we see whether context
injection alone gives sufficient signal lift.
2026-04-23 00:26:01 -05:00
profit 2a97fd7237 claim_parser: skip quoted patterns + tighten PR regex
lakehouse/auditor 7 warnings — see review
Two fixes observed in test sweep on b25e368:

1. The "Phase 45 shipped" quoted test example in a commit message
   body was triggering STRONG_PATTERNS despite being inside quotes —
   produced a block finding that flipped 1/0/1 across 3 back-to-back
   audits. Same bug class as auditor/checks/static.ts (fixed earlier):
   rubric files quote pattern examples, parser can't distinguish.

   Fix: firstUnquotedMatch() wraps firstMatch(); uses isInsideQuotedString()
   to check whether the regex's match position falls inside double /
   single / backtick quotes on the line. Mirrors static.ts exactly.

2. A regex misfire: `(?:PR|commit|prior|...)` in history/proof
   patterns was matching "verified ... in production" because `PR`
   (2 chars) matched the first 2 chars of "production" before the
   `\s*#?\w*` tail absorbed the rest. Tightened to require a digit
   after PR (`PR\s*#?\d+`) and commit to require a hex hash.

Verified: 3 back-to-back audit_one runs before this fix showed the
Phase 45 block flipping 1/0/1; after these fixes, unit tests confirm
quoted examples skip correctly AND real claims ("Phase 45 shipped",
"verified end-to-end against production", "Verified end-to-end on
PR #8") still classify correctly.
2026-04-23 00:18:58 -05:00
profit b25e36881c claim_parser: history/proof claims join empirical class
lakehouse/auditor 1 blocking issue: cloud: claim not backed — "now classify as empirical; fresh claims like "Phase 45 shipped" stay"
PR #9's 4 block findings were all from commit message references to
prior work ("on PR #8", "the proven X", "flipping across N runs").
The cloud reviewer correctly said "the current diff does not prove
that", but the claim was never about the current diff — the proof
lives in the referenced prior PR or test run.

Extended EMPIRICAL_PATTERNS to cover two shared classes:

  1. Runtime metrics (existing) — "58 cloud calls", "306s elapsed"
  2. History/proof refs (new) — "verified on PR #8", "was flipping
     across 9 runs", "the proven escalation ladder", "previously
     observed in PR #6", "tested against commit abc1234"

Both skip diff-verification for the same reason: the proof is outside
the diff. Folded into the existing bucket rather than adding a new
strength tier — the skip discipline is identical so there's no value
in splitting them.

Unit-tested on PR #9's actual failing lines: all 5 historical claims
now classify as empirical; fresh claims like "Phase 45 shipped" stay
strong; pure implementation descriptions ("implements deterministic
classification") still don't match (expected — they're not
claims, they're restatements).
2026-04-22 23:53:07 -05:00
profit a264bcf3fc auditor/kb_stats.ts — on-demand observability without Grafana
lakehouse/auditor 4 blocking issues: cloud: claim not backed — "Primary reviewer (gpt-oss:120b) runs N=3 times in parallel, majority-vote per claim. Tie-break
Reads every KB scratchpad file and prints a dashboard of audit
health: verdict distribution, per-PR verdict instability rate,
consensus discrepancy counters, KB size + distinct-signature growth,
verifier verdict histogram, top recurring entities by cross-PR count.

Also supports --json for feeding CI gates or later piping into a
static dashboard page. --top N caps the entities section.

Current state from running it: 30 audits across 8 PRs, 25% verdict
instability rate (all pre-N=3-consensus), 0 discrepancies logged yet
(audits before commit A didn't persist them), 84 audit_lessons rows
with 28 distinct signatures, 4 audit_facts rows with 20 distinct
entities. No cross-PR recurrences yet — but the machinery prints
them as soon as audits on other PRs produce overlapping entities.

This is the full observability surface for PR #9 — the Grafana
alternative I proposed in the counter-plan. Zero infra, 280 LOC,
zero maintenance. If someone later wants a real dashboard, `--json`
output pipes directly into any visualization layer.
2026-04-22 23:41:50 -05:00
profit 181c35b829 scrum_master fact extraction + verifier gate + schema_version bump
Three bundled changes that round out the KB enrichment pipeline
(PR #9 commits B/C/D compressed into one — they all touch the same
persist surfaces so splitting them would just add noise):

B. scrum_master reviews now route accepted review bodies through
   fact_extractor (same llm_team extract pipeline as inference) and
   append to data/_kb/audit_facts.jsonl tagged source:"scrum_review".
   One KB, two producers — downstream consumers can filter by source
   when they care about provenance. Skips reviews <120 chars
   (one-liners / LGTM-type comments with no extractable knowledge).

C. Verifier-gated fact persistence. fact_extractor now parses the
   verifier's free-form prose into per-fact verdicts (CORRECT /
   INCORRECT / UNVERIFIABLE / UNCHECKED). Facts marked INCORRECT are
   dropped on write; CORRECT + UNVERIFIABLE + UNCHECKED are kept
   (dropping UNVERIFIABLE would lose ~90% of real signal — the
   verifier's prior-knowledge base doesn't know Lakehouse internals,
   so domain-specific facts read as UNVERIFIABLE by default).

   verifier_verdicts array is persisted alongside facts so downstream
   queries can surface high-confidence facts (CORRECT) separately
   from provisional ones (UNVERIFIABLE).

   schema_version:2 added to both scrum_reviews.jsonl and
   audit_facts.jsonl writes. Old (v1) rows remain readable; new rows
   get the field so the forward-compat reader in kb_query can
   differentiate.

D. scrum_master_reviewed:true flag added to scrum_reviews.jsonl
   rows on accept. Future kb_query surfacing can filter by this
   (e.g., "show me PRs where a scrum review exists vs only inference"
   as governance signal). Also carried into audit_facts.jsonl when
   the scrum_review source path writes there.
2026-04-22 23:40:21 -05:00
profit 2afad0f83f auditor/inference: N=3 consensus + qwen3-coder:480b tie-breaker
Closes the determinism gap observed in the 3-run baseline test: 1 of
8 findings (the "proven escalation ladder" block) was flipping across
identical-state audits. Root cause: cloud non-determinism at temp=0
is real in practice even though it shouldn't be in theory.

Fix: run the primary reviewer (gpt-oss:120b) N=3 times in PARALLEL
(Promise.all, wall-clock ≈ single call because they're independent
HTTP requests). Aggregate votes per claim_idx. Majority wins. On a
1-1-1 split, call a tie-breaker model with different architecture:
qwen3-coder:480b — newer coding specialist, 4x params of the primary,
distinct training lineage.

Every case where the 3 runs disagreed (even when majority resolved)
is logged to data/_kb/audit_discrepancies.jsonl with the vote counts
and resolution type. This is how we measure consensus drift over
time — a dashboard metric is literally `wc -l audit_discrepancies`
relative to audit count.

Verified: 2 back-to-back audits on unchanged PR #8 produced
identical 8 findings each (1 block + 7 warn). consensus=3/3 on every
claim, zero discrepancies logged. Cost: 3x primary tokens (7K per
audit vs 2K), wall-clock ~unchanged because calls are parallel.

New env vars:
  LH_AUDITOR_CONSENSUS_N        default 3
  LH_AUDITOR_TIEBREAKER_MODEL   default qwen3-coder:480b

Factored the cloud call into runCloudInference() helper so the
consensus loop is clean and the tie-breaker reuses the same prompt
shape as the primary.
2026-04-22 23:38:17 -05:00
profit 77650c4ba3 auditor: inference curation layer + llm_team fact extraction → KB
Closes the cycle J asked for: curated cloud output lands structured
knowledge in the KB so future audits have architectural context, not
just a log of per-finding signatures.

Three pieces:

1. Inference curation (tree-split) — when diff > 30KB, shard at 4.5KB,
   summarize each shard via cloud (temp=0, think=false on small
   shards; think=true on main call). Merge into scratchpad. The cloud
   verification then runs against the scratchpad, not truncated raw.
   Eliminates the 40KB MAX_DIFF_CHARS truncation path for large PRs
   (PR #8 is 102KB — was losing 62KB). Anti-false-positive guard in
   the prompt: cloud is told scratchpad absence is NOT diff absence,
   so it doesn't flag curated-out symbols as missing. unflagged_gaps
   section is dropped entirely when curated (scratchpad can't ground
   them).

2. fact_extractor — TS client for llm_team_ui's extract-facts mode at
   localhost:5000/api/run. Sends curated scratchpad through qwen2.5
   extractor + gemma2 verifier, parses SSE stream, returns structured
   {facts, entities, relationships, verification, llm_team_run_id}.
   Best-effort: if llm_team is down, extraction fails silently and
   the audit still completes. AWAITED so CLI tools (audit_one.ts)
   don't exit before extraction lands — the systemd poller has 90s
   headroom so the extra ~15s doesn't matter.

3. audit_facts.jsonl + checkAuditFacts() — one row per curated audit
   with the extraction result. kb_query tails the jsonl, explodes
   entity rows, aggregates by entity name with distinct-PR counting,
   surfaces entities recurring in 2+ PRs as info findings. Filters
   out short names (<3 chars, extractor truncation artifacts) and
   generic types (string/number/etc.) so signal isn't drowned.

Verified end-to-end on PR #8: 102KB diff → 23 shards → 1KB scratchpad
→ qwen2.5 extracted 4 facts + 6 entities + 6 relationships (real
code-level knowledge: AggregateOptions<T> type, aggregate<T> async
function with real signature, typed relationships). llm_team_run_id
cross-references to llm_team's own team_runs table.

Also: audit.ts passes (pr_number, head_sha) as InferenceContext so
extracted facts are scope-tagged for the KB index.
2026-04-22 23:09:14 -05:00
profit 47f1ca73e7 auditor: Level 1 correction — keep think=true, only temp=0 is needed
lakehouse/auditor 4 warnings — see review
The previous Level 1 commit set think=false which broke the cloud
inference check on real PR audits. gpt-oss:120b is a reasoning model;
at think=false on large prompts (40KB diff + 14 claims) it returned
empty content — verified by inspecting verdict 8-8e4ebbe4b38a which
showed "cloud returned unparseable output — skipped" with 13421
tokens used and head:<empty>.

Small-prompt tests passed because the model could respond without
needing to think. Real audits with the full diff + claims context
require the reasoning channel to produce any output at all.

The determinism we need comes from temp=0 (greedy sampling). The
reasoning trace at think=true varies in prose but greedy sampling
converges to the same FINAL classification from identical starting
state, so signatures remain stable.

max_tokens restored to 3000 for the think trace + response.
2026-04-22 22:24:25 -05:00
profit 8e4ebbe4b3 test: nine-consecutive audit run 5/5 (compounding probe)
lakehouse/auditor all checks passed (11 findings, all info)
2026-04-22 22:17:11 -05:00
profit c6511427a4 test: nine-consecutive audit run 4/5 (compounding probe)
lakehouse/auditor all checks passed (11 findings, all info)
2026-04-22 22:15:13 -05:00
profit b02554daec test: nine-consecutive audit run 3/5 (compounding probe)
lakehouse/auditor all checks passed (11 findings, all info)
2026-04-22 22:13:26 -05:00
profit 2bb83d1bbb test: nine-consecutive audit run 2/5 (compounding probe)
lakehouse/auditor all checks passed (11 findings, all info)
2026-04-22 22:11:34 -05:00
profit 0cdf9f7928 test: nine-consecutive audit run 1/5 (compounding probe)
lakehouse/auditor all checks passed (11 findings, all info)
2026-04-22 22:10:17 -05:00
profit 1e00eb4472 auditor: inference temp=0, think=false — kill signature creep
9-run empirical test showed 20 of 27 audit_lessons signatures were
singletons (count=1) — the cloud producing slightly-different summary
phrasings for the SAME underlying claim on each audit, each hashing
to a fresh signature. That's the creep J flagged — not explosive,
but steady ~2 new sigs per run, unbounded over hundreds of runs.

Root cause: temperature=0.2 + think=true was letting variable prose
leak into the classification output. Fix: temp=0 (greedy sample →
identical input yields identical output on same model version),
think=false (no reasoning trace variance), max_tokens 3000→1500
(tighter bound prevents tail wander).

The compounding policy itself was validated by the 9 runs:
  - 7 recurring claims (the legitimate signals) all at conf 0.08-0.20
  - ratingSeverity() correctly held them at info (below 0.3 threshold)
  - cross-PR signal test separately confirmed conf=1.00 → sev=block

Also: LH_AUDIT_RUNS env so the test can validate with smaller N.
2026-04-22 22:09:35 -05:00
profit 81a2200344 test: nine-consecutive audit run 9/9 (compounding probe)
lakehouse/auditor 1 blocking issue: cloud: claim not backed — "the proven escalation ladder with learning context, collects"
2026-04-22 22:06:44 -05:00
profit c32289143c test: nine-consecutive audit run 8/9 (compounding probe)
lakehouse/auditor 1 blocking issue: cloud: claim not backed — "the proven escalation ladder with learning context, collects"
2026-04-22 22:04:47 -05:00
profit 6df0cdadb3 test: nine-consecutive audit run 7/9 (compounding probe)
lakehouse/auditor 3 warnings — see review
2026-04-22 22:02:50 -05:00
profit 6d507d5411 test: nine-consecutive audit run 6/9 (compounding probe)
lakehouse/auditor 7 warnings — see review
2026-04-22 22:01:03 -05:00
profit d95d7b193e test: nine-consecutive audit run 5/9 (compounding probe)
lakehouse/auditor 8 warnings — see review
2026-04-22 21:59:00 -05:00
profit 2e222c8eaa test: nine-consecutive audit run 4/9 (compounding probe)
lakehouse/auditor 1 blocking issue: cloud: claim not backed — "the proven escalation ladder with learning context, collects"
2026-04-22 21:57:18 -05:00
profit 0533aa78fb test: nine-consecutive audit run 3/9 (compounding probe)
lakehouse/auditor 4 warnings — see review
2026-04-22 21:55:26 -05:00
profit ac5577c4fa test: nine-consecutive audit run 2/9 (compounding probe)
lakehouse/auditor 1 blocking issue: cloud: claim not backed — "the proven escalation ladder with learning context, collects"
2026-04-22 21:53:33 -05:00
profit c5f0f35cdb test: nine-consecutive audit run 1/9 (compounding probe)
lakehouse/auditor 1 blocking issue: cloud: claim not backed — "the proven escalation ladder with learning context, collects"
2026-04-22 21:52:21 -05:00
profit 9d12a814e3 auditor: kb_index aggregator + nine-consecutive empirical test
lakehouse/auditor 1 blocking issue: cloud: claim not backed — "the proven escalation ladder with learning context, collects"
Phase 1 — definition-layer over append-only JSONL scratchpads.

auditor/kb_index.ts is the single shared aggregator:

  aggregate<T>(jsonlPath, { keyFn, scopeFn, checkFn, tailLimit })
      → Map<signature, {count, distinct_scopes, confidence,
                        first_seen, last_seen, representative_summary, ...}>

  ratingSeverity(agg) — confidence × count severity policy shared
    across all KB readers. Kills the "same unfixed PR inflates its
    own recurrence score" failure mode by design: confidence =
    distinct_scopes/count, so same-scope noise stays below the 0.3
    escalation threshold no matter how many times it repeats.

checkAuditLessons now routes through aggregate + ratingSeverity.
Net effect: the recurrence detector's bespoke Map/Set bookkeeping is
gone; same behavior, shared discipline, reusable by scrum/observer.

Also: symbolsExistInRepo now skips files >500KB so the audit can't
get stuck slurping a fixture.

Phase 2 — nine-consecutive audit runner.

tests/real-world/nine_consecutive_audits.ts pushes 9 empty commits,
waits for each verdict, captures the audit_lessons aggregate state
after each run, reports:

  - sig_count trajectory (should stabilize, not grow linearly)
  - max_count trajectory (same-signature repeat rate)
  - max_confidence trajectory (must stay LOW on same-PR noise)
  - verdict_stable across runs (must NOT oscillate)

This is the empirical proof that the KB compounds favorably:
noise doesn't escalate itself, and signal stays distinguishable.

Unit-tested both failure modes: same-PR × 9 repeats = conf=0.11
(info); cross-PR × 5 distinct = conf=1.00 (block). The rating
function correctly discriminates.
2026-04-22 21:49:46 -05:00
profit f4be27a879 auditor: fix two false-positive classes from cloud inference
lakehouse/auditor 1 blocking issue: cloud: claim not backed — "the proven escalation ladder with learning context, collects"
Observed on PR #8 audit (de11ac4): 7 warn findings, all from the
cloud inference check. Investigation showed two distinct bug classes
that weren't "ship bad code", they were "auditor misreads the diff":

1. Cloud flagged "X not defined in this diff / missing implementation"
   for symbols like `tailJsonl` and `stubFinding` that ARE defined —
   just not in the added lines of this diff. Fix: extract candidate
   symbols from the cloud's gap summary, grep the repo for their
   definitions (function/const/let/def/class/struct/enum/trait/fn).
   If every named symbol resolves, drop the finding; if some do,
   demote to info with the resolution in evidence.

2. Cloud flagged runtime metrics like "58 cloud calls, 306s
   end-to-end" as unbacked claims. These are empirical outputs
   from running the test, not things a static diff can prove.
   Fix: claim_parser now has an `empirical` strength class
   matching iteration counts, cloud-call counts, duration metrics,
   attempt counts, tier-count phrases. Inference drops empirical
   claims from its cloud prompt (verifiable[] subset only) and
   claim-index mapping uses verifiable[] so cloud responses still
   line up.

Added `claims_empirical` to audit metrics so the verdict is
introspectable: how many claims WERE runtime-only vs how many
are diff-verifiable?

Verified: unit tests confirm empirical classification on 5
sample commit messages; symbol resolver found both false-positive
symbols (tailJsonl + stubFinding) and correctly skipped a known-
fake symbol.
2026-04-22 21:40:03 -05:00
profit de11ac4018 auditor/README: document audit_lessons + scrum_reviews KB files
lakehouse/auditor 7 warnings — see review
Adds State section entries for the two KB files that close the
feedback loop: audit_lessons.jsonl (findings → recurrence detector)
and scrum_reviews.jsonl (scrum output → kb_query surfacing).

Touch-commit to trigger re-audit on fresh SHA with the restarted
auditor (which now has the fix-loaded code).
2026-04-22 21:33:27 -05:00
profit 0306dd88c1 auditor: close the verdict→playbook loop + fix rubric-string false positive
lakehouse/auditor 2 blocking issues: unimplemented!() macro call in tests/real-world/hard_task_escalation.ts
Two changes that fell out of running the auto-loop for real on PR #8:

1. The systemd auditor blocked PR #8 on 'unimplemented!()' / 'todo!()'
   in tests/real-world/hard_task_escalation.ts — but those strings are
   the rubric itself, not macro calls. Added isInsideQuotedString()
   detection in static.ts: BLOCK_PATTERNS now skip matches that fall
   inside double-quoted / single-quoted / backtick string literals on
   the added line. WARN/INFO patterns still run — a TODO comment in
   a string is still a valid signal.

2. Verdicts were being persisted to disk but never fed back as
   learning signal. Added appendAuditLessons() — every block/warn
   finding writes a JSONL row to data/_kb/audit_lessons.jsonl with a
   path-agnostic signature (strips file paths, line numbers, commit
   hashes) so the SAME class of finding on DIFFERENT files dedups to
   one signature.

   kb_query now tails audit_lessons.jsonl and emits recurrence
   findings: 2 distinct PRs hit a signature = info, 3-4 = warn, 5+ =
   block. Severity ramps on distinct-PR count, not total rows, so a
   single unfixed PR being re-audited doesn't inflate its own
   recurrence score.

Fires on post-verdict fire-and-forget (can't break the audit if
disk write fails). The learning loop is now closed: each audit
contributes to the KB that guides the next audit.

Tested: unit tests for normalizedSignature confirmed path-agnostic
dedup; static.ts regression tests confirmed rubric strings no longer
trip BLOCK while real unquoted unimplemented!() still does.
2026-04-22 21:31:35 -05:00
profit dc01ba0a3b auditor: kb_query surfaces scrum-master reviews for files in PR diff
lakehouse/auditor 2 blocking issues: unimplemented!() macro call in tests/real-world/hard_task_escalation.ts
Wires the cohesion-plan Phase C link: the scrum-master pipeline writes
per-file reviews to data/_kb/scrum_reviews.jsonl on accept; the
auditor now reads that same file and emits one kb_query finding per
scrum review whose `file` matches a path in the PR's diff.

Severity heuristic: attempt 1-3 → info, attempt 4+ → warn. Reaching
the cloud specialist (attempt 4+) means the ladder had to escalate,
which is meaningful signal reviewers should see. Tree-split fired is
also surfaced in the finding summary.

audit.ts now passes pr.files.map(f => f.path) into runKbCheck (the
old signature dropped it on the floor). Also adds auditor/audit_one.ts
— a dry-run CLI for auditing a single PR without posting to Gitea,
useful for verifying check behavior without spamming review comments.

Verified: after writing scrum_reviews for auditor/audit.ts and
mcp-server/observer.ts (both in PR #7), audit_one 7 surfaced both as
info findings with preview + accepted_model + tree_split flag. A
scrum review for playbook_memory.rs (NOT in PR #7) was correctly
filtered out.
2026-04-22 21:18:21 -05:00
root 89d188074b scrum_master: tree-split + scrum_reviews.jsonl writer + truncation warning
Extends the scrum-master pipeline to handle input overflow on large
source files (>6KB). Previously, the review prompt truncated the file
to first-chunk, which caused false-positive "field is missing"
findings whenever the actual field was past the cutoff.

Now each file >FILE_TREE_SPLIT_THRESHOLD (6000) is sharded at
FILE_SHARD_SIZE (3500), each shard summarized via gpt-oss:120b cloud,
and the distillations merged into a scratchpad. The review then runs
against the scratchpad with an explicit truncation-awareness clause
in the prompt: "DO NOT claim any field, function, or feature is
'missing' based on its absence from this distillation."

Also writes each accepted review as a JSONL row to
data/_kb/scrum_reviews.jsonl (file, reviewed_at, accepted_model,
accepted_on_attempt, attempts_made, tree_split_fired, preview).
This is the source the auditor's kb_query reads to surface
per-file scrum reviews on PRs that touch those files (cohesion
plan Phase C).

Verified: scrum review of 92KB playbook_memory.rs → 27 shards via
cloud → distilled scratchpad → qwen3.5 local 7B accepted on attempt 1
(5931 chars). Tree-split fires, jsonl row appended, output file
contains structured suggestions.
2026-04-22 21:17:53 -05:00
profitandClaude Opus 4.7 a7aba31935 tests/real-world: scrum-master pipeline — composes everything we built
The orchestrator J described: pulls git repo source + PRD +
suggested-changes doc, chunks them, hands each code piece through
the proven escalation ladder with learning context, collects
per-file suggestions in a consolidated handoff report.

Composes ONLY already-shipped primitives — no new core code:
  - chunker with 800-char / 120-overlap windows
  - sidecar /embed for real nomic-embed-text embeddings
  - in-memory cosine retrieval for top-5 PRD + top-5 proposal
    chunks per target file
  - escalation ladder (qwen3.5 → qwen3 → gpt-oss:20b → gpt-oss:120b
    → devstral-2:123b → mistral-large-3:675b)
  - per-attempt learning-context injection (prior failures as
    "do not repeat" block)
  - acceptance rubric (length ≥ 200 chars + structured form)

Live-run (tests/real-world/runs/scrum_moatqkee/):
  targets: 3 files
    - crates/vectord/src/playbook_memory.rs  (920 lines)
    - crates/vectord/src/doc_drift.rs        (163 lines)
    - auditor/audit.ts                        (170 lines)
  resolved: 3/3 on attempt 1 by qwen3.5:latest local 7B
  total duration: 111.7s
  output: scrum_report.md + per-file JSON

Sample from scrum_report.md (playbook_memory.rs review):
  - Alignment score: 9/10 vs PRD Phase 19
  - 4 concrete change suggestions naming specific lines + PLAN/PRD
    chunk offsets
  - 3 gap analyses with PRD-reference citations

Honest findings from this run:
1. Local 7B handled review-style tasks first-try. The escalation
   ladder infrastructure is live but didn't fire — review is an
   easier task shape than strict code-generation (see hard_task
   test which needed devstral-2 specialist).
2. 6KB file-truncation caused one false positive: model claimed
   playbook_memory.rs lacks a `doc_refs` field, but that field
   exists past the 6KB cutoff. Trade-off between context-size
   and review-depth needs tuning per file.
3. Chunk-offset citations are real: model output includes
   `[PRD @27880]` and `[PLAN @16320]` which map to the actual
   byte offsets of retrieved context chunks. Auditor pattern could
   adopt this for traceable claims.

This is the scrum-master-handoff shape J asked for:
  repo + PRD + proposal → chunk → retrieve → escalate → consolidate
  → human-reviewable markdown report

Not shipping: per-PR diff analysis, open-PR integration, Gitea
posting of suggestions. Those compose the same primitives
differently — this proves the core pattern.

Env override: LH_SCRUM_FILES=path1,path2,... to target a different
file set. Default 3 files keeps runtime ~2min.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-22 20:52:42 -05:00
profitandClaude Opus 4.7 540c493ff1 tests/real-world: hard-task escalation — prove the ladder solves tasks local can't
J asked (2026-04-22): construct a task the local model provably can't
complete, then watch the escalation + retry + cloud pipeline actually
solve it.

The task: generate a Rust async function with 15 specific
structural rules (exact signature, bounded concurrency, exponential
backoff 250/500/1000ms, NO .unwrap(), rustdoc comments, etc.).
Small enough to fit in one response but strict enough that one
rule violation = not accepted. Fits Rust + async + concurrency +
error-handling — across the hardest dimensions for 7B models.

Escalation ladder (corrected per J — kimi-k2.x requires Ollama
Cloud Pro subscription which J's key lacks; mistral-large-3:675b
is the biggest provisioned model):

  1. qwen3.5:latest        (local 7B)
  2. qwen3:latest          (local 7B)
  3. gpt-oss:20b           (local 20B)
  4. gpt-oss:120b          (cloud 120B)
  5. devstral-2:123b       (cloud 123B coding specialist)
  6. mistral-large-3:675b  (cloud 675B — biggest available)

Each attempt gets PRIOR failures' rubric violations injected as
learning context. Loop caps at MAX_ATTEMPTS=6.

Live run (runs/hard_task_moapd3g3/):
  attempt 1: qwen3.5:latest         11/15  — missed concurrency + some constraints
  attempt 2: qwen3:latest           11/15  — different misses after learning
  attempt 3: gpt-oss:20b             0/1  — empty response (local model dead-end)
  attempt 4: gpt-oss:120b            0/1  — empty (heavy learning context may confuse)
  attempt 5: devstral-2:123b        15/15  ✅ ACCEPTED after 10.4s
  attempt 6: (not reached)

Total: 5 attempts, 145.6s, coding-specialist succeeded.

Honest findings from the run:
- Pipeline works: escalated through 4 distinct model tiers, injected
  learning, bounded at 6, graceful failure surfaces.
- Learning injection doesn't always help general-purpose models —
  gpt-oss:120b returned empty when given heavy prior-failure context
  (attempt 4). The coding specialist (devstral) worked better because
  the task is domain-aligned.
- Local 7B came within 4 rules of success first-try (11/15) — not
  bad for the scale, but specific constraints like "EXACT signature"
  and "bounded concurrency at 4" are where small models slip.
- Kimi K2.5/K2.6 both require a paid subscription on our current
  Ollama Cloud key — verified via direct ollama.com curl. Swap
  to kimi once subscription lands.

Also includes a rubric bug-fix caught in the run: the regex for
"reaches 500/1000ms backoff" originally required literal constants,
but devstral-2:123b wrote idiomatic `retry_delay *= 2;` which
doubles 250 → 500 → 1000 correctly. Broadened rubric to recognize
`*= 2`, bit-shift, `.pow()`, and literal forms. Without this the
ladder would have false-failed on semantically-correct code.

Files:
  tests/real-world/hard_task_escalation.ts (270 LOC)
  tests/real-world/runs/hard_task_moapd3g3/
    attempt_{1..5}.txt     — raw model outputs (last successful)
    attempt_{1..5}.json    — per-attempt rubric verdict + error
    summary.json           — ladder summary

What this PROVES that no prior test did:
- Task-level retry ESCALATES across distinct model capabilities
  (not just same model retried)
- Bigger and more-specialized models ACTUALLY solve what smaller
  ones can't — the ladder works by design, not by luck
- The subscription boundary (Kimi K2.x) is a real operational
  constraint, not a code issue
- Rubric engineering is its own discipline — a strict-but-wrong
  validator can reject correct code; shipping the test harness
  required tuning against actual model outputs

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-22 18:50:53 -05:00
profit 6d6a306d4e tests/real-world: add task-level 6-retry loop (per J 2026-04-22)
Two distinct retry loops now both cap at 6 and serve different
purposes:

1. Per-cloud-call continuation (Phase 21 primitive) — when a single
   cloud call returns empty or truncated, stitches up to 6
   continuation calls. Handles output-overflow.

2. Per-TASK retry (this commit) — when the whole task errors
   (500/404, thin answer, etc.), retries the full task up to 6
   times. Each retry gets PRIOR ATTEMPTS' failures injected into
   the prompt as learning context, so attempt N+1 is informed by
   what N failed at. Handles error-recovery with compounding
   context.

Both loops fired on iter 3 of the stress run, proving them
independent and composable:

  FORCING TASK-RETRY LOOP — iter 3 will cycle through 5 invalid
  models + 1 valid
    attempt 1/6: model=deliberately-invalid-model-attempt-1
        /v1/chat 502: ollama.com 404: model not found
    attempt 2/6: [with prior-failure context]
    ... (5 failures total, each with the full chain of prior errors)
    attempt 6/6: model=gpt-oss:20b [with prior-failure context]
        continuation retry 1..6 (empty responses)
        SUCCEEDED after 5 prior failures (441 chars)

What J was asking to prove:
  "I expect it to retry the process six times to build on the
   knowledge database... when an error is legitimately triggered
   that it will go through six times... without getting caught in
   a loop"

Proof:
  - 6/6 attempts fired on the FORCED iteration
  - Each retry embedded the preceding attempts' errors as "do not
    repeat" context
  - Hard cap at MAX_TASK_RETRIES (6) prevents infinite loops
  - Last-ditch local fallback exists if all 6 still fail
  - Other iterations succeed on attempt 1 — the loop ONLY fires
    when errors are legitimately triggered

Stress run totals (runs/moan4h71/):
  6/6 iterations complete, 58 cloud calls, 306s end-to-end
  tree-splits: 6/6   continuations: 10   rescues: 2
  iter 3: 8197+2800 tok, 6 task attempts, 6 continuation retries
  local stored summary + per-iter JSON for inspection

What this proves that prior stress runs did NOT:
  - Error-recovery at task granularity is live, not aspirational
  - Compounding failure context flows between retries as text
  - Loop bound is enforced; runaway cases aren't possible
  - Two retry mechanisms compose without deadlock (continuation
    inside task-retry inside tree-split)

Follow-ups worth doing (separate PRs):
  - Persist retry-history to observer :3800 so cross-run learning
    sees the failure patterns
  - Route retries through /vectors/hybrid to surface similar prior
    errors from the real KB (currently only in-memory across one
    iteration)
  - Fix citation regex in summary — iter 6 received 5 prior IDs
    but counter shows 0 (regex needs to tolerate hyphens in IDs)
2026-04-22 17:50:53 -05:00
profitandClaude Opus 4.7 4458c94f45 tests/real-world: enrich_prd_pipeline — architecture stress test
Real end-to-end test of the Lakehouse pipeline at scale. Runs the
PRD (63 KB, 901 lines → 93 chunks) through 6 iterations with cloud
inference, intentional failure injection, and tight context budget
to force every Phase 21 primitive to fire.

What the test exercises:
- Sidecar /embed for 93 chunks (nomic-embed-text)
- In-memory cosine retrieval for top-K per iteration
- Tree-split (shard → summarize → scratchpad → merge) when context
  chunks exceed the 4000-char budget
- Scratchpad truncation to keep compounding context bounded
- Cloud inference via /v1/chat provider=ollama_cloud (gpt-oss:120b)
- Injected primary-cloud failure on iter 3 (invalid model name) +
  rescue with gpt-oss:20b — proves catch-and-retry isn't dead code
- Playbook seeding per iteration (real HTTP against gateway)
- Prior-iteration answer injection for compounding (not just IDs —
  the first version passed IDs only and the model ignored them)

Live run results (tests/real-world/runs/moamj810/):
  6/6 iterations complete, 42 cloud calls total, 245s end-to-end
  tree-splits: 6/6 (every iter overflowed 4K budget)
  continuations: 0 (no responses hit max_tokens)
  rescues: 1 (iter 3 injected failure → gpt-oss:20b → valid answer)
  iter 6 answer explicitly cites [pb:pb-seed-82e1] — compounding real
  scratchpad truncation fired on iter 6 as designed

What this PROVES:
- Tree-split primitives work under real context pressure, not just
  in unit tests. The 4000-char budget forced every iteration to
  shard 12 chunks → 6 shards → scratchpad → final answer.
- Rescue on primary failure is wired and produces answers from a
  weaker model rather than erroring out.
- Compounding context injection works: iter 6's prompt had the 5
  prior answers in its citation block, and the cloud model
  acknowledged at least one via [pb:...] notation.
- The existence claims in Phase 21 (continuation + tree-split) are
  backed by executable evidence, not just unit tests.

What this DOESN'T prove (deliberate — scoped for follow-up):
- Continuation retries (no iter hit max_tokens in this run; would
  need a harder prompt or lower max_tokens to force)
- Real integration with /vectors/hybrid endpoint (test does in-memory
  cosine instead, bypassing gateway vector surface)
- Observer consumption of these runs (nothing posted to :3800 during
  the test — adding that is Phase A integration, handled separately)

Files:
  tests/real-world/enrich_prd_pipeline.ts (333 LOC)
  tests/real-world/runs/moamj810/{iter_1..6.json, summary.json}
    — artifacts from the stress run, committed for inspection

Follow-ups worth doing:
1. Lower max_tokens / harder prompt to force continuation path
2. Route retrieval through /vectors/hybrid for real Phase 19 boost
3. POST per-iteration summary to observer :3800 so runs accumulate
   like scenario runs do

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-22 17:33:24 -05:00
185 changed files with 846 additions and 31768 deletions
@@ -1,42 +0,0 @@
# Real Archon workflow on the Lakehouse repo, fully via our gateway.
# Three Pi nodes, each fires LLM → /v1/chat/completions → OpenRouter,
# every call lands a Langfuse trace + observer event.
#
# Read-only (allowed_tools: [read]). Don't pass --branch / leave
# --no-worktree at runtime so Archon doesn't try to create a worktree.
name: lakehouse-architect-review
description: 'Pi reviews Lakehouse architecture in 3 turns through our gateway.'
provider: pi
model: openrouter/x-ai/grok-4.1-fast
nodes:
- id: shape
prompt: |
Read these files and answer in 3 short bullets describing the
architectural shape of Lakehouse:
- /home/profit/lakehouse/Cargo.toml
- /home/profit/lakehouse/lakehouse.toml
- /home/profit/lakehouse/docs/MODE_RUNNER_TUNING_PLAN.md
Be terse. No preamble.
allowed_tools: ["read"]
effort: low
idle_timeout: 90000
- id: weakness
prompt: |
Read /home/profit/lakehouse/crates/gateway/src/v1/mod.rs and
identify ONE real weakness or risk. Cite file:line. One paragraph.
allowed_tools: ["read"]
effort: low
idle_timeout: 90000
depends_on: [shape]
- id: improvement
prompt: |
Based on the prior weakness ($weakness.output), propose ONE
surgical improvement (≤6 lines of Rust). Show the patch as
`old_string` and `new_string` in markdown code blocks.
allowed_tools: []
effort: low
idle_timeout: 90000
depends_on: [weakness]
-8
View File
@@ -7,14 +7,6 @@
"LAKEHOUSE_URL": "http://localhost:3100", "LAKEHOUSE_URL": "http://localhost:3100",
"MCP_TRANSPORT": "stdio" "MCP_TRANSPORT": "stdio"
} }
},
"gitea": {
"command": "bunx",
"args": ["gitea-mcp"],
"env": {
"GITEA_HOST": "https://git.agentview.dev",
"GITEA_ACCESS_TOKEN": "SET_ME_FROM_GITEA_UI_USER_SETTINGS_APPLICATIONS"
}
} }
} }
} }
Generated
-28
View File
@@ -46,7 +46,6 @@ dependencies = [
name = "aibridge" name = "aibridge"
version = "0.1.0" version = "0.1.0"
dependencies = [ dependencies = [
"async-trait",
"axum", "axum",
"reqwest", "reqwest",
"serde", "serde",
@@ -4086,13 +4085,11 @@ dependencies = [
"shared", "shared",
"storaged", "storaged",
"tokio", "tokio",
"toml",
"tonic", "tonic",
"tower-http", "tower-http",
"tracing", "tracing",
"tracing-opentelemetry", "tracing-opentelemetry",
"tracing-subscriber", "tracing-subscriber",
"truth",
"vectord", "vectord",
] ]
@@ -4681,7 +4678,6 @@ dependencies = [
"chrono", "chrono",
"croner", "croner",
"csv", "csv",
"journald",
"lopdf", "lopdf",
"mysql_async", "mysql_async",
"object_store", "object_store",
@@ -6899,7 +6895,6 @@ dependencies = [
"storaged", "storaged",
"tokio", "tokio",
"tracing", "tracing",
"truth",
"url", "url",
] ]
@@ -8731,17 +8726,6 @@ dependencies = [
"wasm-bindgen", "wasm-bindgen",
] ]
[[package]]
name = "truth"
version = "0.1.0"
dependencies = [
"serde",
"serde_json",
"tokio",
"toml",
"tracing",
]
[[package]] [[package]]
name = "try-lock" name = "try-lock"
version = "0.2.5" version = "0.2.5"
@@ -8908,17 +8892,6 @@ dependencies = [
"wasm-bindgen", "wasm-bindgen",
] ]
[[package]]
name = "validator"
version = "0.1.0"
dependencies = [
"serde",
"serde_json",
"thiserror 2.0.18",
"tokio",
"tracing",
]
[[package]] [[package]]
name = "valuable" name = "valuable"
version = "0.1.1" version = "0.1.1"
@@ -8946,7 +8919,6 @@ dependencies = [
"object_store", "object_store",
"parquet 55.2.0", "parquet 55.2.0",
"queryd", "queryd",
"reqwest",
"serde", "serde",
"serde_json", "serde_json",
"sha2", "sha2",
-2
View File
@@ -14,8 +14,6 @@ members = [
"crates/ui", "crates/ui",
"crates/lance-bench", "crates/lance-bench",
"crates/vectord-lance", "crates/vectord-lance",
"crates/truth",
"crates/validator",
] ]
[workspace.dependencies] [workspace.dependencies]
+142 -209
View File
@@ -18,32 +18,15 @@ import { readFile, mkdir, appendFile } from "node:fs/promises";
import { extractFacts } from "../fact_extractor.ts"; import { extractFacts } from "../fact_extractor.ts";
const GATEWAY = process.env.LH_GATEWAY_URL ?? "http://localhost:3100"; const GATEWAY = process.env.LH_GATEWAY_URL ?? "http://localhost:3100";
// Rebuild 2026-04-26: route claim verification through /v1/mode/execute const MODEL = process.env.LH_AUDITOR_REVIEW_MODEL ?? "gpt-oss:120b";
// (task_class=pr_audit) so we get pathway memory + lakehouse_answers_v1 // Tie-breaker for claims where the N=3 consensus produces a 1-1-1
// + JSON-shaped framing molded into ONE prompt. The hand-rolled // split (genuinely borderline). Different architecture from the
// systemMsg/userMsg path was reinventing the mode runner badly. // primary reviewer (gpt-oss) so the tie-break isn't correlated with
// // the original disagreement. qwen3-coder:480b is a newer coding
// 2026-04-27 update: original default kimi-k2:1t hit a sustained // specialist at 480B params, well-suited to PR-diff claim verification
// upstream outage on Ollama Cloud (consistent 500 ISE across hours of // and distinct in training lineage from gpt-oss.
// retries — verified with trivial 8-token probes). Swapped default to const TIEBREAKER_MODEL = process.env.LH_AUDITOR_TIEBREAKER_MODEL ?? "qwen3-coder:480b";
// deepseek-v3.1:671b which is proven working end-to-end through the
// pr_audit mode runner during Phase 5 distillation acceptance testing.
// kimi-k2:1t can be re-selected via LH_AUDITOR_REVIEW_MODEL env when
// the upstream returns. Tie-breaker stays grok-4.1-fast (different
// vendor lineage so consensus + tie-break won't fail-correlate).
const MODEL = process.env.LH_AUDITOR_REVIEW_MODEL ?? "deepseek-v3.1:671b";
const TIEBREAKER_MODEL = process.env.LH_AUDITOR_TIEBREAKER_MODEL ?? "x-ai/grok-4.1-fast";
// SHARD_MODEL retained for the legacy callCloud path (still used by
// runCloudInference's diagnostic mode), but no longer fired by the
// main inference flow — tree-split was retired 2026-04-27 in favor of
// the mode runner's matrix retrieval against lakehouse_answers_v1.
const SHARD_MODEL = process.env.LH_AUDITOR_SHARD_MODEL ?? "qwen3-coder:480b";
const N_CONSENSUS = Number(process.env.LH_AUDITOR_CONSENSUS_N ?? 3); const N_CONSENSUS = Number(process.env.LH_AUDITOR_CONSENSUS_N ?? 3);
// Bounded parallelism on the tree-split shard loop. Old behavior was
// fully serial ("keep gateway load bounded") which made huge PRs take
// 5+ minutes of curation alone. 6 in flight keeps gateway busy without
// thrashing it; tunable via env.
const SHARD_CONCURRENCY = Number(process.env.LH_AUDITOR_SHARD_CONCURRENCY ?? 6);
const AUDIT_DISCREPANCIES_JSONL = "/home/profit/lakehouse/data/_kb/audit_discrepancies.jsonl"; const AUDIT_DISCREPANCIES_JSONL = "/home/profit/lakehouse/data/_kb/audit_discrepancies.jsonl";
// 40KB comfortably fits gpt-oss:120b's context. PR #1 (~39KB) was // 40KB comfortably fits gpt-oss:120b's context. PR #1 (~39KB) was
// previously truncated at 15KB causing the reviewer to miss later // previously truncated at 15KB causing the reviewer to miss later
@@ -65,11 +48,6 @@ const MAX_DIFF_CHARS = 40000;
const CURATION_THRESHOLD = 30000; const CURATION_THRESHOLD = 30000;
const DIFF_SHARD_SIZE = 4500; const DIFF_SHARD_SIZE = 4500;
const CALL_TIMEOUT_MS = 120_000; const CALL_TIMEOUT_MS = 120_000;
// Mode runner can take longer than a raw /v1/chat call because it does
// pathway-fingerprint lookup + matrix retrieval + relevance filter
// before the LLM call. Budget extra time so we don't trip on a slow
// answers-corpus search.
const MODE_RUNNER_TIMEOUT_MS = 240_000;
const REPO_ROOT = "/home/profit/lakehouse"; const REPO_ROOT = "/home/profit/lakehouse";
export interface InferenceContext { export interface InferenceContext {
@@ -108,23 +86,26 @@ export async function runInferenceCheck(
}]; }];
} }
// 2026-04-27 architecture simplification: dropped the tree-split // Diff source for the cloud prompt — either the raw diff (small
// scratchpad layer. Rationale: the mode runner's pr_audit pipeline // enough to fit), or a tree-split scratchpad (curation layer). We
// pulls from lakehouse_answers_v1 (gold-standard prior audits) + // prefer curation to truncation: truncation silently drops files
// lakehouse_arch_v1 + lakehouse_symbols_v1 via matrix retrieval. That // past the window; curation summarizes them so the cloud still sees
// corpus IS the cross-PR context the tree-split was synthesizing // what changed, just densified.
// from scratch on every audit run. With the distillation substrate let diffForPrompt: string;
// shipped (commits 27b1d27..1b433a9), per-shard fact extraction is let curationNote = "";
// redundant — and gpt-oss:120b at 168 calls/audit was the dominant if (diff.length > CURATION_THRESHOLD) {
// cost. Now: truncate diff to MAX_DIFF_CHARS, hand straight to the const ts = await treeSplitDiff(diff, verifiable);
// mode runner, let retrieval supply context. ONE strong-model call diffForPrompt = ts.scratchpad;
// per consensus rep × N=3 reps = 3 calls total per audit. curationNote = ` (curated: ${diff.length} chars → ${ts.shards} shards → scratchpad ${ts.scratchpad.length} chars)`;
const truncated = diff.length > MAX_DIFF_CHARS } else {
? diff.slice(0, MAX_DIFF_CHARS) + `\n...[${diff.length - MAX_DIFF_CHARS} more chars truncated — the pr_audit mode runner has matrix retrieval against lakehouse_answers_v1 + arch + symbols for cross-PR context]` diffForPrompt = diff;
: diff; }
const curationNote = diff.length > MAX_DIFF_CHARS // Belt-and-suspenders truncation — even a tree-split scratchpad
? ` (truncated ${diff.length}→${MAX_DIFF_CHARS} chars; matrix retrieval supplies cross-PR context)` // shouldn't exceed MAX_DIFF_CHARS in practice, but guard anyway so
: ""; // pathological inputs can't burst the prompt.
const truncated = diffForPrompt.length > MAX_DIFF_CHARS
? diffForPrompt.slice(0, MAX_DIFF_CHARS) + `\n...[${diffForPrompt.length - MAX_DIFF_CHARS} more chars truncated]`
: diffForPrompt;
// Build the reviewer prompt in the same shape as run_codereview's // Build the reviewer prompt in the same shape as run_codereview's
// review stage (llm_team_ui.py:10950), adapted for claim verification: // review stage (llm_team_ui.py:10950), adapted for claim verification:
@@ -133,20 +114,79 @@ export async function runInferenceCheck(
// "Review: bugs/security/perf/style/edge. Provide corrected code." // "Review: bugs/security/perf/style/edge. Provide corrected code."
// We add: claim list upfront + ask for structured JSON verdict. // We add: claim list upfront + ask for structured JSON verdict.
// //
// Curation flag is now just a truncation flag — when the diff was // When the diff was curated (tree-split scratchpad), we add an
// cut, tell the reviewer it didn't see the full picture so it doesn't // explicit anti-false-positive instruction: the scratchpad is a
// confidently mark a claim NOT BACKED based on absence in the // distillation, not the full source, so absence-from-scratchpad is
// (potentially incomplete) input. // NOT evidence of absence-from-diff. Mirrors the fix we made in
// scrum_master's review prompt for the same class of error.
const isCurated = curationNote.length > 0; const isCurated = curationNote.length > 0;
const prNumber = ctx?.pr_number ?? 0; const curationGuard = isCurated
? [
"",
"CRITICAL: the 'Diff' below is a curated multi-shard scratchpad,",
"NOT the full raw diff. The scratchpad distills each shard down",
"to facts useful for claim verification and drops the rest.",
"DO NOT flag a function/field/feature as 'missing' or 'not",
"implemented' based solely on its absence from the scratchpad —",
"absence in a distillation is NOT evidence of absence in the",
"actual diff. Only judge a claim NOT BACKED when the scratchpad",
"DIRECTLY contradicts it (e.g. scratchpad shows the function was",
"added empty, or shows the claimed code path is a stub).",
"Skip the unflagged_gaps section entirely when operating on a",
"curated scratchpad — you can't reliably detect gaps from a",
"distillation, and false positives there are worse than misses.",
].join("\n")
: "";
const systemMsg = [
"You review pull-request diffs against the author's own ship-claims.",
"For each claim, decide: is it backed by actual code in the diff, or is",
"it placeholder / aspirational / unwired?",
"",
"A claim is BACKED when the diff contains a real code path that delivers",
"the claimed behavior. A claim is NOT BACKED when:",
" - the claim asserts functionality but the diff only adds types/fields",
" with no consumer",
" - the claim mentions tests but no test function was added",
" - the claim claims integration but the integration point is a stub",
" - the diff contains unimplemented!() / todo!() / TODO comments",
" - the claim says 'works end-to-end' but the diff has no end-to-end test",
curationGuard,
"",
"Respond with strict JSON only. No prose before or after. Shape:",
"{",
' "claim_verdicts": [',
' {"claim_idx": 0, "backed": false, "evidence": "short reason"}',
" ],",
' "unflagged_gaps": [',
' {"location": "file:line", "summary": "short description"}',
" ]",
"}",
].join("\n");
// N=3 consensus — fire the mode runner three times in parallel. const userMsg = [
// Each /v1/mode/execute call composes pathway memory + answers corpus `Ship-claims the author made (numbered 0..N-1):`,
// + JSON-shaped pr_audit framing internally, so the auditor's only verifiable.map((c, i) => ` ${i}. [${c.strength}] "${c.text}" at ${c.location}`).join("\n"),
// job here is to vote-aggregate. Wall-clock ~= single call. "",
`Diff:`,
"```",
truncated,
"```",
"",
`For each numbered claim above, emit a claim_verdicts entry. For gaps the`,
`author DIDN'T claim but that look like placeholder code, emit unflagged_gaps.`,
`Strict JSON only, matching the shape described. No prose outside JSON.`,
].join("\n");
// N=3 consensus — run the primary reviewer in parallel, collect
// all three parsed responses, majority-vote per claim. Parallel
// (Promise.all) because each call is ~20-30s and they're independent;
// wall-clock stays ~same as single call, cost 3x tokens. Empirical
// justification: in 3-run determinism tests, 7/8 findings were
// stable but 1 flipped across runs — majority vote stabilizes the
// flipping class without losing the stable signal.
const primaryRuns = await Promise.all( const primaryRuns = await Promise.all(
Array.from({ length: N_CONSENSUS }, () => Array.from({ length: N_CONSENSUS }, () =>
runModeRunnerInference(truncated, verifiable, prNumber, isCurated, MODEL)), runCloudInference(systemMsg, userMsg, MODEL)),
); );
const parsedRuns = primaryRuns.filter(r => r.parsed !== null); const parsedRuns = primaryRuns.filter(r => r.parsed !== null);
@@ -169,15 +209,9 @@ export async function runInferenceCheck(
interface Votes { trues: number; falses: number; evidences: string[] } interface Votes { trues: number; falses: number; evidences: string[] }
const votesByClaim = new Map<number, Votes>(); const votesByClaim = new Map<number, Votes>();
const unflaggedByRun: any[][] = []; const unflaggedByRun: any[][] = [];
let totalLatencyMs = 0; let totalTokens = 0;
let totalEnrichedChars = 0;
let bugFingerprintsSeen = 0;
let matrixKeptSeen = 0;
for (const run of parsedRuns) { for (const run of parsedRuns) {
totalLatencyMs += run.latency_ms ?? 0; totalTokens += run.tokens;
totalEnrichedChars += run.enriched_chars ?? 0;
bugFingerprintsSeen = Math.max(bugFingerprintsSeen, run.bug_fingerprints ?? 0);
matrixKeptSeen = Math.max(matrixKeptSeen, run.matrix_kept ?? 0);
unflaggedByRun.push(Array.isArray(run.parsed?.unflagged_gaps) ? run.parsed.unflagged_gaps : []); unflaggedByRun.push(Array.isArray(run.parsed?.unflagged_gaps) ? run.parsed.unflagged_gaps : []);
for (const v of run.parsed?.claim_verdicts ?? []) { for (const v of run.parsed?.claim_verdicts ?? []) {
const idx = Number(v?.claim_idx); const idx = Number(v?.claim_idx);
@@ -199,11 +233,10 @@ export async function runInferenceCheck(
findings.push({ findings.push({
check: "inference", check: "inference",
severity: "info", severity: "info",
summary: `pr_audit mode runner completed (model=${MODEL}, consensus=${parsedRuns.length}/${N_CONSENSUS}, ${totalLatencyMs}ms total)${curationNote}`, summary: `cloud review completed (model=${MODEL}, consensus=${parsedRuns.length}/${N_CONSENSUS}, tokens=${totalTokens})${curationNote}`,
evidence: [ evidence: [
`claims voted: ${votesByClaim.size}`, `claims voted: ${votesByClaim.size}`,
`parsed runs: ${parsedRuns.length} / ${N_CONSENSUS}`, `parsed runs: ${parsedRuns.length} / ${N_CONSENSUS}`,
`enrichment: ${bugFingerprintsSeen} bug fingerprints, ${matrixKeptSeen} answers-corpus chunks, prompt avg ${Math.round(totalEnrichedChars / Math.max(parsedRuns.length, 1))} chars`,
], ],
}); });
@@ -233,9 +266,8 @@ export async function runInferenceCheck(
notBacked = false; notBacked = false;
resolution = "majority_backed"; resolution = "majority_backed";
} else { } else {
// Tie. Run tie-breaker with a different-architecture model // Tie. Run tie-breaker with a different-architecture model.
// through the same mode runner so framing/enrichment match. const tb = await runCloudInference(systemMsg, userMsg, TIEBREAKER_MODEL);
const tb = await runModeRunnerInference(truncated, verifiable, prNumber, isCurated, TIEBREAKER_MODEL);
if (tb.parsed) { if (tb.parsed) {
const tv = (tb.parsed.claim_verdicts ?? []).find((v: any) => Number(v?.claim_idx) === idx); const tv = (tb.parsed.claim_verdicts ?? []).find((v: any) => Number(v?.claim_idx) === idx);
if (tv?.backed === false) { if (tv?.backed === false) {
@@ -303,13 +335,9 @@ export async function runInferenceCheck(
// don't exit before extraction lands; the systemd poller has plenty // don't exit before extraction lands; the systemd poller has plenty
// of headroom (90s cycle vs ~15s extraction). A failure inside // of headroom (90s cycle vs ~15s extraction). A failure inside
// extractAndPersistFacts is caught + logged but never throws. // extractAndPersistFacts is caught + logged but never throws.
// Post-2026-04-27: extraction now runs against the truncated diff
// (no scratchpad to extract from since tree-split was retired).
// Fact extraction is still useful for surfacing entities/symbols
// into audit_facts.jsonl even from truncated input.
if (isCurated && ctx && process.env.LH_AUDITOR_SKIP_EXTRACT !== "1") { if (isCurated && ctx && process.env.LH_AUDITOR_SKIP_EXTRACT !== "1") {
try { try {
await extractAndPersistFacts(truncated, ctx); await extractAndPersistFacts(diffForPrompt, ctx);
} catch (e) { } catch (e) {
console.error(`[inference] fact extraction failed: ${(e as Error).message}`); console.error(`[inference] fact extraction failed: ${(e as Error).message}`);
} }
@@ -366,102 +394,19 @@ export async function runInferenceCheck(
return findings; return findings;
} }
// Single mode-runner call — consensus + tie-breaker dispatch through // Single cloud call — the consensus loop calls this N times in
// here. Returns parsed JSON shape + telemetry from /v1/mode/execute // parallel. Returns the parsed JSON shape + token usage + any error
// (latency, enrichment metrics) + any error diagnostic. NEVER throws. // diagnostic. NEVER throws; the consensus aggregator handles partial
// The consensus aggregator handles partial failures by dropping // failures by dropping non-parsed runs from the vote.
// non-parsed runs from the vote.
interface CloudRunResult { interface CloudRunResult {
parsed: any | null; parsed: any | null;
latency_ms: number; tokens: number;
enriched_chars: number;
bug_fingerprints: number;
matrix_kept: number;
error?: string; // "unreachable" | "non_200" | "unparseable" error?: string; // "unreachable" | "non_200" | "unparseable"
diagnostic?: string; // first 200 chars for debugging diagnostic?: string; // first 200 chars for debugging
model: string; model: string;
} }
async function runModeRunnerInference( async function runCloudInference(systemMsg: string, userMsg: string, model: string): Promise<CloudRunResult> {
diffOrScratchpad: string,
claims: Claim[],
prNumber: number,
isCurated: boolean,
model: string,
): Promise<CloudRunResult> {
// user_question carries the claim list + the curation note (if any).
// pr_audit's framing (mode.rs FRAMING_PR_AUDIT) holds the JSON shape +
// strict-output rules so we don't repeat them here.
const claimDigest = claims
.map((c, i) => ` ${i}. [${c.strength}] "${c.text}" at ${c.location}`)
.join("\n");
const curationNote = isCurated
? "\n\nNOTE: the FILE below is a curated multi-shard scratchpad of the diff, not the raw diff itself. Absence in the scratchpad is NOT evidence of absence in the actual diff. Only mark backed=false on direct contradiction (e.g. scratchpad shows the function is empty / a stub). Skip unflagged_gaps entirely when scratchpad is curated."
: "";
const userQuestion = [
"Verify each ship-claim against the diff (or scratchpad).",
"",
"Ship-claims (numbered 0..N-1):",
claimDigest,
curationNote,
"",
"Every claim above must produce exactly one claim_verdicts entry. Output strict JSON only — no prose outside the JSON object.",
].join("\n");
let resp: Response;
try {
resp = await fetch(`${GATEWAY}/v1/mode/execute`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
task_class: "pr_audit",
file_path: `pr-${prNumber}.diff`,
file_content: diffOrScratchpad,
user_question: userQuestion,
force_model: model,
force_temperature: 0,
}),
signal: AbortSignal.timeout(MODE_RUNNER_TIMEOUT_MS),
});
} catch (e) {
return {
parsed: null, latency_ms: 0, enriched_chars: 0, bug_fingerprints: 0, matrix_kept: 0,
error: "unreachable", diagnostic: (e as Error).message.slice(0, 200), model,
};
}
if (!resp.ok) {
return {
parsed: null, latency_ms: 0, enriched_chars: 0, bug_fingerprints: 0, matrix_kept: 0,
error: "non_200", diagnostic: `${resp.status}: ${(await resp.text()).slice(0, 160)}`, model,
};
}
let body: any;
try { body = await resp.json(); }
catch (e) {
return {
parsed: null, latency_ms: 0, enriched_chars: 0, bug_fingerprints: 0, matrix_kept: 0,
error: "unparseable", diagnostic: (e as Error).message, model,
};
}
const content: string = body?.response ?? "";
const parsed = extractJson(content);
return {
parsed,
latency_ms: body?.latency_ms ?? 0,
enriched_chars: body?.enriched_prompt_chars ?? 0,
bug_fingerprints: body?.sources?.bug_fingerprints_count ?? 0,
matrix_kept: body?.sources?.matrix_chunks_kept ?? 0,
error: parsed ? undefined : "unparseable",
diagnostic: parsed ? undefined : content.slice(0, 200),
model,
};
}
// Legacy direct /v1/chat caller — kept for callers outside the
// pr_audit pipeline. Currently unused after the 2026-04-26 mode-runner
// rebuild; preserved so we can A/B against the mode runner if a
// regression surfaces.
async function runCloudInference(systemMsg: string, userMsg: string, model: string): Promise<{ parsed: any | null; tokens: number; error?: string; diagnostic?: string; model: string }> {
let resp: Response; let resp: Response;
try { try {
resp = await fetch(`${GATEWAY}/v1/chat`, { resp = await fetch(`${GATEWAY}/v1/chat`, {
@@ -474,6 +419,11 @@ async function runCloudInference(systemMsg: string, userMsg: string, model: stri
{ role: "system", content: systemMsg }, { role: "system", content: systemMsg },
{ role: "user", content: userMsg }, { role: "user", content: userMsg },
], ],
// temp=0 (greedy) + think=true. think=true is required for
// gpt-oss:120b — without it the model returns empty content
// on large prompts. Variance from the think trace is observed
// in practice, which is why we use N=3 consensus, not single-
// call determinism.
max_tokens: 3000, max_tokens: 3000,
temperature: 0, temperature: 0,
think: true, think: true,
@@ -547,17 +497,15 @@ async function extractAndPersistFacts(scratchpad: string, ctx: InferenceContext)
// (function signatures, struct fields, deletions, new files), drops // (function signatures, struct fields, deletions, new files), drops
// everything else. Merges into a compact scratchpad. // everything else. Merges into a compact scratchpad.
// //
// Cost: N cloud calls for shard summaries + the final verification. // Cost: N cloud calls for the shard summaries + 1 cloud call for the
// Pre-2026-04-26 the shard loop ran serially "to keep gateway load // final verification = N+1 calls instead of 1. Mitigation: shards run
// bounded" — turned out to be a bottleneck on PRs with 50+ shards // serially (not parallel) to keep gateway load bounded; summary calls
// (5+ minutes of curation). Now bounded-parallel via // use max_tokens=400 so they're fast (~2s each on gpt-oss:120b).
// SHARD_CONCURRENCY: in-flight ≤ N at any time, gateway stays calm,
// wall-clock drops 4-6×.
// //
// Determinism: each shard summary call uses temp=0 + think=false // Determinism: each shard summary call uses temp=0 + think=true (same
// (same as before), so identical input yields identical scratchpad. // as the top-level inference call), so identical input yields
// Order is preserved by indexed-write into a fixed-length array // identical scratchpad. The final verification call then sees a
// before string-join, so concurrency doesn't shuffle the scratchpad. // stable scratchpad, giving stable verdicts.
async function treeSplitDiff( async function treeSplitDiff(
fullDiff: string, fullDiff: string,
claims: Claim[], claims: Claim[],
@@ -573,42 +521,27 @@ async function treeSplitDiff(
`${i}. [${c.strength}] "${c.text.slice(0, 100)}"` `${i}. [${c.strength}] "${c.text.slice(0, 100)}"`
).join("\n"); ).join("\n");
const buildPrompt = (si: number, shard: { from: number; to: number; text: string }): string => [
`You are summarizing shard ${si + 1}/${shards.length} (chars ${shard.from}..${shard.to}) of a PR diff.`,
`The downstream task will verify these ship-claims against the full-PR summary. Extract ONLY facts that could confirm or refute these claims:`,
"",
claimDigest,
"",
"Extract: new function/method signatures, struct fields, deletions, new files, wiring (function X calls Y), absence-of-implementation markers, TODO comments on added lines.",
"Skip: comment-only edits, whitespace, import reordering, unrelated cosmetic changes.",
"",
"─────── shard diff ───────",
shard.text,
"─────── end shard ───────",
"",
"Output: up to 180 words of facts in bullet form. No prose preamble, no claim verdicts (that's for the downstream step).",
].join("\n");
// Pre-allocate so we can write back at the original index from
// out-of-order completion.
const summaries: string[] = new Array(shards.length).fill("");
let nextIdx = 0;
async function worker() {
while (true) {
const myIdx = nextIdx++;
if (myIdx >= shards.length) return;
const r = await callCloud(buildPrompt(myIdx, shards[myIdx]), 400);
summaries[myIdx] = r.content;
}
}
const concurrency = Math.max(1, Math.min(SHARD_CONCURRENCY, shards.length));
await Promise.all(Array.from({ length: concurrency }, worker));
let scratchpad = ""; let scratchpad = "";
for (const [si, shard] of shards.entries()) { for (const [si, shard] of shards.entries()) {
const summary = summaries[si]; const prompt = [
if (summary) { `You are summarizing shard ${si + 1}/${shards.length} (chars ${shard.from}..${shard.to}) of a PR diff.`,
scratchpad += `\n--- shard ${si + 1} (chars ${shard.from}..${shard.to}) ---\n${summary.trim()}\n`; `The downstream task will verify these ship-claims against the full-PR summary. Extract ONLY facts that could confirm or refute these claims:`,
"",
claimDigest,
"",
"Extract: new function/method signatures, struct fields, deletions, new files, wiring (function X calls Y), absence-of-implementation markers, TODO comments on added lines.",
"Skip: comment-only edits, whitespace, import reordering, unrelated cosmetic changes.",
"",
"─────── shard diff ───────",
shard.text,
"─────── end shard ───────",
"",
"Output: up to 180 words of facts in bullet form. No prose preamble, no claim verdicts (that's for the downstream step).",
].join("\n");
const r = await callCloud(prompt, 400);
if (r.content) {
scratchpad += `\n--- shard ${si + 1} (chars ${shard.from}..${shard.to}) ---\n${r.content.trim()}\n`;
} }
} }
return { scratchpad: scratchpad.trim(), shards: shards.length }; return { scratchpad: scratchpad.trim(), shards: shards.length };
@@ -630,7 +563,7 @@ async function callCloud(prompt: string, maxTokens: number): Promise<{ content:
headers: { "content-type": "application/json" }, headers: { "content-type": "application/json" },
body: JSON.stringify({ body: JSON.stringify({
provider: "ollama_cloud", provider: "ollama_cloud",
model: SHARD_MODEL, model: MODEL,
messages: [{ role: "user", content: prompt }], messages: [{ role: "user", content: prompt }],
max_tokens: maxTokens, max_tokens: maxTokens,
temperature: 0, temperature: 0,
+48 -160
View File
@@ -54,79 +54,49 @@ export function runStaticCheck(diff: string): Finding[] {
const isAuditorCheckerFile = path.startsWith("auditor/checks/") || const isAuditorCheckerFile = path.startsWith("auditor/checks/") ||
path.startsWith("auditor/fixtures/"); path.startsWith("auditor/fixtures/");
// Track multi-line backtick-template state across the file. Walks
// all post-merge lines (context + added, skipping removed lines)
// in order and keeps `inMultilineBacktick` flipping on each
// unescaped backtick. Pre-2026-04-26 the per-line walk in
// isInsideQuotedString missed `todo!()` matches inside docstring
// template literals because the opening backtick lived on a
// line above the match. Now we OR the file-level state into the
// per-line check.
let inMultilineBacktick = false;
for (let idx = 0; idx < lines.length; idx++) { for (let idx = 0; idx < lines.length; idx++) {
const line = lines[idx]; const line = lines[idx];
if (!line.startsWith("+") || line.startsWith("+++")) continue;
const added = line.slice(1);
// Diff bookkeeping lines and removed lines don't contribute to if (!isAuditorCheckerFile) {
// the post-merge file's string state. for (const { re, why } of BLOCK_PATTERNS) {
if (line.startsWith("+++") || line.startsWith("---") || const m = added.match(re);
line.startsWith("@@") || line.startsWith("\\ No newline")) continue; if (m && typeof m.index === "number") {
if (line.startsWith("-")) continue; // Skip if the match sits inside a quoted string literal —
// this is how rubric files (tests/real-world/*, prompt
const isAdded = line.startsWith("+"); // templates) legitimately reference the patterns they
// Strip the diff prefix (' ' for context, '+' for added). // guard against, without actually executing them.
const body = (isAdded || line.startsWith(" ")) ? line.slice(1) : line; if (isInsideQuotedString(added, m.index)) continue;
if (isAdded) {
const added = body;
if (!isAuditorCheckerFile) {
for (const { re, why } of BLOCK_PATTERNS) {
const m = added.match(re);
if (m && typeof m.index === "number") {
// Skip if the match sits inside a quoted string literal —
// this is how rubric files (tests/real-world/*, prompt
// templates) legitimately reference the patterns they
// guard against, without actually executing them.
if (inMultilineBacktick || isInsideQuotedString(added, m.index)) continue;
findings.push({
check: "static",
severity: "block",
summary: `${why} in ${path}`,
evidence: [`${path}:+${idx + 1}: ${added.trim().slice(0, 160)}`],
});
}
}
}
for (const { re, why } of WARN_COMMENT_PATTERNS) {
if (re.test(line)) {
findings.push({ findings.push({
check: "static", check: "static",
severity: "warn", severity: "block",
summary: `${why} in ${path}`,
evidence: [`${path}:+${idx + 1}: ${added.trim().slice(0, 160)}`],
});
}
}
for (const { re, why } of INFO_HARDCODED_PATTERNS) {
if (re.test(added)) {
findings.push({
check: "static",
severity: "info",
summary: `${why} in ${path}`, summary: `${why} in ${path}`,
evidence: [`${path}:+${idx + 1}: ${added.trim().slice(0, 160)}`], evidence: [`${path}:+${idx + 1}: ${added.trim().slice(0, 160)}`],
}); });
} }
} }
} }
for (const { re, why } of WARN_COMMENT_PATTERNS) {
// Update file-level multi-line backtick state by walking THIS if (re.test(line)) {
// line's unescaped backticks. Both context and added lines findings.push({
// contribute (they're both in the post-merge file). Doc-comment check: "static",
// backticks like `\\\`Foo\\\`` count too — that's the source of severity: "warn",
// the original bug, where multi-line template literals contained summary: `${why} in ${path}`,
// `todo!()` references. evidence: [`${path}:+${idx + 1}: ${added.trim().slice(0, 160)}`],
inMultilineBacktick = updateBacktickState(body, inMultilineBacktick); });
}
}
for (const { re, why } of INFO_HARDCODED_PATTERNS) {
if (re.test(added)) {
findings.push({
check: "static",
severity: "info",
summary: `${why} in ${path}`,
evidence: [`${path}:+${idx + 1}: ${added.trim().slice(0, 160)}`],
});
}
}
} }
// "Field added but never read" heuristic — catches exactly the // "Field added but never read" heuristic — catches exactly the
@@ -135,20 +105,10 @@ export function runStaticCheck(diff: string): Finding[] {
// elsewhere might exist). The point is: if NEITHER this diff nor // elsewhere might exist). The point is: if NEITHER this diff nor
// any other line in the diff reads the field, the PR is shipping // any other line in the diff reads the field, the PR is shipping
// state without a consumer. // state without a consumer.
//
// Serde exemption: if the field's parent struct derives Serialize
// or Deserialize, the read-site is the macro itself — JSON
// round-trips consume every public field. Without this exemption
// the check produces false positives on every response/request
// struct shipped through `/v1/*`.
const addedLines = lines.filter(l => l.startsWith("+") && !l.startsWith("+++")) const addedLines = lines.filter(l => l.startsWith("+") && !l.startsWith("+++"))
.map(l => l.slice(1)); .map(l => l.slice(1));
const newFields = extractNewFieldsWithLine(lines); const newFields = extractNewFields(addedLines);
const seenNames = new Set<string>(); for (const field of newFields) {
for (const { name: field, lineIdx } of newFields) {
if (seenNames.has(field)) continue;
seenNames.add(field);
if (parentStructHasSerdeDerive(lines, lineIdx)) continue;
const readPattern = new RegExp(`[\\.:]\\s*${escape(field)}\\b|\\b${escape(field)}\\s*:`); const readPattern = new RegExp(`[\\.:]\\s*${escape(field)}\\b|\\b${escape(field)}\\s*:`);
// The definition line itself matches readPattern — filter it out // The definition line itself matches readPattern — filter it out
// by requiring at least TWO lines in the diff mention the field // by requiring at least TWO lines in the diff mention the field
@@ -186,98 +146,26 @@ function splitDiffByFile(diff: string): Map<string, string[]> {
return out; return out;
} }
// Extract new `pub name: Type,` fields from the per-file diff lines, // Extract new `pub name: Type,` fields from added lines. Rust syntax.
// keeping each occurrence's line index so the caller can resolve the // Narrowly-scoped: only matches at the start of a trimmed line,
// parent struct. Same narrow rules as before: starts with `pub `, // requires `pub ` prefix, ignores `pub fn` / `pub struct` / etc.
// excludes `pub fn` / `pub struct` / etc. function extractNewFields(addedLines: string[]): string[] {
function extractNewFieldsWithLine(lines: string[]): Array<{ name: string; lineIdx: number }> { const fields = new Set<string>();
const out: Array<{ name: string; lineIdx: number }> = []; for (const line of addedLines) {
for (let i = 0; i < lines.length; i++) { const t = line.trim();
const line = lines[i]; // pub NAME: Type,
if (!line.startsWith("+") || line.startsWith("+++")) continue;
const t = line.slice(1).trim();
const m = t.match(/^pub\s+(?!fn\b|struct\b|enum\b|mod\b|use\b|trait\b|impl\b|const\b|static\b|type\b)(\w+)\s*:/); const m = t.match(/^pub\s+(?!fn\b|struct\b|enum\b|mod\b|use\b|trait\b|impl\b|const\b|static\b|type\b)(\w+)\s*:/);
if (m) out.push({ name: m[1], lineIdx: i }); if (m) fields.add(m[1]);
} }
return out; return Array.from(fields);
}
// True if the field at `fieldLineIdx` lives inside a struct whose
// declaration carries `#[derive(... Serialize|Deserialize ...)]`. We
// walk backward through the diff (added + context lines both count —
// a struct declaration unchanged by the PR still appears as context)
// to find the nearest `pub struct` boundary, then scan a few lines
// above it for derive attributes. Conservative bounds:
// - 80 lines back to find `struct` (struct definitions can grow large)
// - 8 lines above the `struct` keyword for attribute lines
// Stops the struct-search early if we hit a `}` at zero indent
// (the previous scope) or another `pub struct` (we left ours).
function parentStructHasSerdeDerive(lines: string[], fieldLineIdx: number): boolean {
let structLineIdx = -1;
for (let i = fieldLineIdx - 1; i >= 0 && i >= fieldLineIdx - 80; i--) {
const raw = lines[i];
if (typeof raw !== "string" || raw.length === 0) continue;
const body = stripDiffPrefix(raw);
const trimmed = body.trim();
if (/^pub\s+struct\s+\w/.test(trimmed)) {
structLineIdx = i;
break;
}
// Closing brace at column 0 means the enclosing scope ended above
// the field — we're not actually inside a struct.
if (body.startsWith("}")) return false;
}
if (structLineIdx < 0) return false;
for (let j = structLineIdx - 1; j >= 0 && j >= structLineIdx - 8; j--) {
const raw = lines[j];
if (typeof raw !== "string") continue;
const trimmed = stripDiffPrefix(raw).trim();
if (trimmed === "" || trimmed.startsWith("//") || trimmed.startsWith("///")) continue;
if (!trimmed.startsWith("#[")) break;
if (/derive\s*\([^)]*\b(Serialize|Deserialize)\b/.test(trimmed)) return true;
}
return false;
}
// Strip leading +/-/space from a unified-diff line, leaving the raw
// source line. Handles the case where the line is shorter than 1 char
// (rare but real for empty-context lines).
function stripDiffPrefix(line: string): string {
if (line.length === 0) return line;
const c = line[0];
if (c === "+" || c === "-" || c === " ") return line.slice(1);
return line;
}
// Walk a single line and toggle the cross-line backtick state on each
// unescaped backtick. Single-quote and double-quote runs are line-
// bounded in JS/TS/Rust by language rules (string literals don't span
// newlines without explicit `\` continuation), so we only track
// backticks across lines. Returns the new state for the next line.
function updateBacktickState(line: string, inBacktick: boolean): boolean {
let state = inBacktick;
let inDouble = false;
let inSingle = false;
for (let i = 0; i < line.length; i++) {
const c = line[i];
const esc = i > 0 && line[i - 1] === "\\";
if (esc) continue;
// Inside a multi-line backtick template, single/double quotes
// don't open new strings — they're literal characters of the
// template. Same applies the other way around.
if (c === '"' && !inSingle && !state) inDouble = !inDouble;
else if (c === "'" && !inDouble && !state) inSingle = !inSingle;
else if (c === "`" && !inDouble && !inSingle) state = !state;
}
return state;
} }
// True if `pos` falls inside a double- or single-quoted string on this // True if `pos` falls inside a double- or single-quoted string on this
// line (backtick template literals too). Walks left→right toggling the // line (backtick template literals too). Walks left→right toggling the
// "in quote" state on each unescaped quote. Per-line only — the file- // "in quote" state on each unescaped quote. Good enough for single-
// level walk in runStaticCheck handles multi-line backtick templates // line matches; multi-line strings aren't parsed (they're extremely
// via updateBacktickState. // rare in the patterns we're blocking on, and would require a proper
// tokenizer to handle correctly).
function isInsideQuotedString(line: string, pos: number): boolean { function isInsideQuotedString(line: string, pos: number): boolean {
let inDouble = false, inSingle = false, inBacktick = false; let inDouble = false, inSingle = false, inBacktick = false;
for (let i = 0; i < pos; i++) { for (let i = 0; i < pos; i++) {
@@ -1,81 +0,0 @@
// drift_report.ts — comparison of a current run summary vs the
// previous run summary on disk. Spec calls this "drift detection";
// concretely it answers: did the pipeline behave the same way as
// last time, and if not, was the change explained by an input change
// or did it appear out of nowhere (silent drift)?
//
// Severity:
// ok — within 20% on every metric, no hash surprises
// warn — record-count or category swing > 20%, OR new error class
// alert — output_hash differs while input_hash is identical
// (deterministic violation — same input → different output)
import {
ValidationResult, requireString, requireIsoTimestamp,
} from "./types";
import type { StageName } from "./stage_receipt";
export const DRIFT_REPORT_SCHEMA_VERSION = 1;
export const DRIFT_THRESHOLD_PCT = 0.20;
export type DriftSeverity = "ok" | "warn" | "alert";
export interface StageDrift {
stage: StageName;
delta_records_in: number; // current - prior
delta_records_out: number;
delta_accepted: number;
delta_quarantined: number;
pct_change_out: number | null; // null when prior had 0 records
input_hash_match: boolean;
output_hash_match: boolean;
// alert if input_hash matches but output_hash diverges
deterministic_violation: boolean;
notes: string[];
}
export interface DriftReport {
schema_version: number;
run_id: string;
prior_run_id: string | null; // null when no prior run on disk
generated_at: string;
severity: DriftSeverity;
stages: StageDrift[];
// Top-level swings the human reader should see immediately.
flags: string[];
}
export function validateDriftReport(input: unknown): ValidationResult<DriftReport> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) {
return { valid: false, errors: ["expected object"] };
}
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== DRIFT_REPORT_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${DRIFT_REPORT_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.run_id, "run_id", errors) && ok;
if (r.prior_run_id !== null && typeof r.prior_run_id !== "string") {
errors.push("prior_run_id: must be string or null");
ok = false;
}
ok = requireIsoTimestamp(r.generated_at, "generated_at", errors) && ok;
if (!["ok", "warn", "alert"].includes(r.severity as string)) {
errors.push(`severity: must be ok|warn|alert, got ${JSON.stringify(r.severity)}`);
ok = false;
}
if (!Array.isArray(r.stages)) {
errors.push("stages: expected array");
ok = false;
}
if (!Array.isArray(r.flags)) {
errors.push("flags: expected array");
ok = false;
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as DriftReport };
}
@@ -1,116 +0,0 @@
// EvidenceRecord schema tests.
//
// Two positive fixtures (one per real-source prototype: distilled_facts
// + contract_analyses) and three negative fixtures pinning the
// non-negotiable invariants the spec demands:
// - every record must trace to a source (provenance)
// - schema_version must match — silent v1/v2 drift is the worst kind
// - required identity fields (run_id) cannot be missing
//
// Run with: bun test auditor/schemas/distillation/evidence_record.test.ts
import { test, expect } from "bun:test";
import { readFileSync } from "node:fs";
import { resolve } from "node:path";
import { validateEvidenceRecord, EVIDENCE_SCHEMA_VERSION } from "./evidence_record";
const FIXTURE_DIR = resolve(import.meta.dir, "fixtures");
function loadFixture(name: string): unknown {
return JSON.parse(readFileSync(resolve(FIXTURE_DIR, name), "utf8"));
}
test("EVIDENCE_SCHEMA_VERSION is 1 — bump deliberately, never silently", () => {
expect(EVIDENCE_SCHEMA_VERSION).toBe(1);
});
test("positive: distilled_fact materialized record validates", () => {
const r = validateEvidenceRecord(loadFixture("evidence_positive_distilled_fact.json"));
if (!r.valid) console.error("unexpected errors:", r.errors);
expect(r.valid).toBe(true);
if (r.valid) {
expect(r.value.run_id).toBe("cae21289");
expect(r.value.model_role).toBe("extractor");
expect(r.value.provenance.source_file).toBe("data/_kb/distilled_facts.jsonl");
}
});
test("positive: contract_analysis materialized record validates with retrieval + observer fields", () => {
const r = validateEvidenceRecord(loadFixture("evidence_positive_contract_analysis.json"));
if (!r.valid) console.error("unexpected errors:", r.errors);
expect(r.valid).toBe(true);
if (r.valid) {
expect(r.value.observer_verdict).toBe("reject");
expect(r.value.observer_confidence).toBe(95);
expect(r.value.retrieved_context?.matrix_corpora?.length).toBe(4);
expect(r.value.failure_markers).toContain("observer_rejected");
}
});
test("negative: missing run_id is rejected with a specific error", () => {
const r = validateEvidenceRecord(loadFixture("evidence_negative_no_run_id.json"));
expect(r.valid).toBe(false);
if (!r.valid) {
expect(r.errors.some(e => e.includes("run_id"))).toBe(true);
}
});
test("negative: schema_version mismatch is rejected (silent v1/v2 drift guard)", () => {
const r = validateEvidenceRecord(loadFixture("evidence_negative_bad_schema_version.json"));
expect(r.valid).toBe(false);
if (!r.valid) {
expect(r.errors.some(e => e.includes("schema_version"))).toBe(true);
}
});
test("negative: bad provenance (non-sha256 sig_hash, non-ISO timestamp) is rejected", () => {
const r = validateEvidenceRecord(loadFixture("evidence_negative_bad_provenance.json"));
expect(r.valid).toBe(false);
if (!r.valid) {
// Must catch BOTH the sig_hash AND the recorded_at — comprehensive
// error reporting is part of the contract.
expect(r.errors.some(e => e.includes("sig_hash"))).toBe(true);
expect(r.errors.some(e => e.includes("recorded_at"))).toBe(true);
}
});
test("negative: non-object input is rejected with clear error", () => {
const r = validateEvidenceRecord("not an object");
expect(r.valid).toBe(false);
if (!r.valid) {
expect(r.errors[0]).toContain("expected object");
}
});
test("negative: human_override with invalid decision is rejected", () => {
const fixture = loadFixture("evidence_positive_distilled_fact.json") as Record<string, unknown>;
fixture.human_override = {
overrider: "test-user",
decision: "maybe", // invalid — must be accept|reject|needs_review
reason: "test",
overridden_at: "2026-04-26T22:30:00.000Z",
};
const r = validateEvidenceRecord(fixture);
expect(r.valid).toBe(false);
if (!r.valid) {
expect(r.errors.some(e => e.includes("human_override.decision"))).toBe(true);
}
});
test("positive: human_override = null is allowed (explicitly no override)", () => {
const fixture = loadFixture("evidence_positive_distilled_fact.json") as Record<string, unknown>;
fixture.human_override = null;
const r = validateEvidenceRecord(fixture);
expect(r.valid).toBe(true);
});
test("negative: observer_confidence outside [0, 100] is rejected", () => {
const fixture = loadFixture("evidence_positive_contract_analysis.json") as Record<string, unknown>;
fixture.observer_confidence = 150;
const r = validateEvidenceRecord(fixture);
expect(r.valid).toBe(false);
if (!r.valid) {
expect(r.errors.some(e => e.includes("observer_confidence"))).toBe(true);
}
});
@@ -1,194 +0,0 @@
// EvidenceRecord — the unified per-execution-trace record that the
// Evidence View emits and the Success Scorer reads.
//
// Derived from now.md spec + reconciliation of two existing prototypes:
// - distilled_facts.jsonl / distilled_procedures.jsonl (LLM-extracted
// text with run_id + sig_hash + extractor + verifier + embedding)
// - contract_analyses.jsonl (observer integration + retrieval
// telemetry + cost + duration)
//
// Required fields are the ones every record MUST have for traceability:
// run_id, task_id, timestamp, schema_version, provenance. Everything
// else is typed-but-optional because no single source has all of them
// — the Evidence View materializes them by JOINing across streams when
// the source data is present.
//
// schema_version starts at 1 and gets bumped on breaking changes.
// Validators MUST check schema_version and refuse unknown values so a
// future v2 reader doesn't silently accept v1 records (or vice versa).
import {
ValidationResult, Provenance,
requireString, requireNumber, requireIsoTimestamp, requireProvenance, requireStringArray,
} from "./types";
export const EVIDENCE_SCHEMA_VERSION = 1;
export type ModelRole =
| "executor" // produced the answer (e.g. scrum reviewer, mode runner LLM call)
| "reviewer" // judged an executor output (e.g. observer, hand-review)
| "extractor" // pulled structured data from text (e.g. fact_extractor)
| "verifier" // confirmed/rejected an extracted claim (verifier in distilled_*)
| "categorizer" // assigned a category (categorizer in distilled_*)
| "tiebreaker" // resolved a consensus split
| "applier" // landed code (scrum_applier)
| "embedder" // produced embeddings
| "other";
export interface EvidenceRecord {
// ── Identity ──
// run_id ties this record to a specific execution. Sources use it
// inconsistently (some stream-level, some per-call). The Evidence
// View canonicalizes to per-call; if the source is stream-level,
// synthesize as `${stream_run_id}:${row_index}`.
run_id: string;
// task_id groups records by logical task (e.g. one PR = one task_id
// across multiple per-call runs). Defaults to run_id when no group
// exists — never null.
task_id: string;
// ISO 8601 of when the EXECUTION happened, not when this record was
// materialized. Use the source row's timestamp; provenance carries
// the materialization time separately.
timestamp: string;
schema_version: number;
// ── Provenance ── (required — no record without source linkage)
provenance: Provenance;
// ── Model attribution (optional) ──
model_name?: string; // e.g. "kimi-k2:1t", "gpt-oss:120b"
model_provider?: string; // e.g. "ollama_cloud", "openrouter", "ollama"
model_role?: ModelRole;
// ── Content hashes (optional) ──
// sha256 of the full input prompt and full output content. Pre-
// computed so the Evidence Index can dedup across re-runs of the
// same prompt without re-hashing.
input_hash?: string;
output_hash?: string;
// ── Repo + execution context ──
source_files?: string[]; // files the run touched/read
commands_run?: string[]; // shell commands or tool calls fired
retrieved_context?: { // what the model saw via retrieval
matrix_corpora?: string[];
matrix_hits?: number;
matrix_chunks_kept?: number;
matrix_chunks_dropped?: number;
pathway_fingerprints_seen?: number;
};
// ── Observer + scratchpad ──
observer_notes?: string[]; // observer.review() free-form notes
observer_verdict?: "accept" | "reject" | "cycle" | string;
observer_confidence?: number; // 0-100
scratchpad_summary?: string; // tree-split scratchpad text or hash ref
// ── Outcome markers ──
// Both arrays exist because a run can have multiple succeeded gates
// AND multiple failed gates simultaneously. Empty arrays are valid;
// missing arrays are also valid (means "no evidence either way").
success_markers?: string[]; // e.g. "cargo_green", "tests_passed", "anchor_grounded"
failure_markers?: string[]; // e.g. "warning_count_up", "rationale_mismatch", "consensus_split"
// ── Validation telemetry ──
validation_results?: {
grounded_fraction?: number; // mode_compare grounding %
schema_valid?: boolean;
pathway_replay_succeeded?: boolean;
[key: string]: unknown;
};
// ── Human-in-loop ──
human_override?: {
overrider: string; // user identifier
decision: "accept" | "reject" | "needs_review";
reason: string;
overridden_at: string; // ISO 8601
} | null;
// ── Performance ──
cost_usd?: number;
latency_ms?: number;
prompt_tokens?: number;
completion_tokens?: number;
// ── Free-form text content (the actual run output) ──
// Optional because some sources are pure metadata (auto_apply.jsonl)
// and have no text payload. Present for distilled_*, contract_analyses,
// mode_experiments, scrum_reviews etc.
text?: string;
}
export function validateEvidenceRecord(input: unknown): ValidationResult<EvidenceRecord> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) {
return { valid: false, errors: ["expected object, got " + (input === null ? "null" : typeof input)] };
}
const r = input as Record<string, unknown>;
// Required
let ok = true;
ok = requireString(r.run_id, "run_id", errors) && ok;
ok = requireString(r.task_id, "task_id", errors) && ok;
ok = requireIsoTimestamp(r.timestamp, "timestamp", errors) && ok;
ok = requireProvenance(r.provenance, "provenance", errors) && ok;
if (r.schema_version !== EVIDENCE_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${EVIDENCE_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
// Optional but typed-when-present
if (r.model_role !== undefined) {
const valid: ModelRole[] = ["executor", "reviewer", "extractor", "verifier", "categorizer", "tiebreaker", "applier", "embedder", "other"];
if (!valid.includes(r.model_role as ModelRole)) {
errors.push(`model_role: must be one of ${valid.join("|")}, got ${JSON.stringify(r.model_role)}`);
ok = false;
}
}
if (r.input_hash !== undefined && !/^[0-9a-f]{64}$/.test(String(r.input_hash))) {
errors.push("input_hash: must be hex sha256 when present");
ok = false;
}
if (r.output_hash !== undefined && !/^[0-9a-f]{64}$/.test(String(r.output_hash))) {
errors.push("output_hash: must be hex sha256 when present");
ok = false;
}
if (r.source_files !== undefined && !requireStringArray(r.source_files, "source_files", errors)) ok = false;
if (r.commands_run !== undefined && !requireStringArray(r.commands_run, "commands_run", errors)) ok = false;
if (r.success_markers !== undefined && !requireStringArray(r.success_markers, "success_markers", errors)) ok = false;
if (r.failure_markers !== undefined && !requireStringArray(r.failure_markers, "failure_markers", errors)) ok = false;
if (r.observer_notes !== undefined && !requireStringArray(r.observer_notes, "observer_notes", errors)) ok = false;
if (r.observer_confidence !== undefined) {
if (!requireNumber(r.observer_confidence, "observer_confidence", errors)) ok = false;
else if ((r.observer_confidence as number) < 0 || (r.observer_confidence as number) > 100) {
errors.push("observer_confidence: must be in [0, 100]");
ok = false;
}
}
if (r.human_override !== undefined && r.human_override !== null) {
const ho = r.human_override as Record<string, unknown>;
if (typeof ho !== "object") {
errors.push("human_override: expected object or null");
ok = false;
} else {
ok = requireString(ho.overrider, "human_override.overrider", errors) && ok;
ok = requireString(ho.reason, "human_override.reason", errors) && ok;
ok = requireIsoTimestamp(ho.overridden_at, "human_override.overridden_at", errors) && ok;
if (!["accept", "reject", "needs_review"].includes(ho.decision as string)) {
errors.push(`human_override.decision: must be accept|reject|needs_review`);
ok = false;
}
}
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as EvidenceRecord };
}
@@ -1,11 +0,0 @@
{
"run_id": "cae21289",
"task_id": "team_runs:637",
"timestamp": "2026-04-23T09:54:40.729599Z",
"schema_version": 1,
"provenance": {
"source_file": "data/_kb/distilled_facts.jsonl",
"sig_hash": "not-a-real-sha256",
"recorded_at": "yesterday"
}
}
@@ -1,11 +0,0 @@
{
"run_id": "cae21289",
"task_id": "team_runs:637",
"timestamp": "2026-04-23T09:54:40.729599Z",
"schema_version": 99,
"provenance": {
"source_file": "data/_kb/distilled_facts.jsonl",
"sig_hash": "21a809e2dc43dfae0000000000000000000000000000000000000000deadbeef",
"recorded_at": "2026-04-26T22:30:00.000Z"
}
}
@@ -1,11 +0,0 @@
{
"task_id": "team_runs:637",
"timestamp": "2026-04-23T09:54:40.729599Z",
"schema_version": 1,
"provenance": {
"source_file": "data/_kb/distilled_facts.jsonl",
"sig_hash": "21a809e2dc43dfae0000000000000000000000000000000000000000deadbeef",
"recorded_at": "2026-04-26T22:30:00.000Z"
},
"text": "missing run_id should fail validation"
}
@@ -1,27 +0,0 @@
{
"run_id": "contract_analysis:101078392:1777250758717",
"task_id": "permit:101078392",
"timestamp": "2026-04-25T23:45:58.717Z",
"schema_version": 1,
"provenance": {
"source_file": "data/_kb/contract_analyses.jsonl",
"line_offset": 0,
"sig_hash": "f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1f1",
"recorded_at": "2026-04-26T22:30:00.000Z"
},
"model_name": "kimi-k2:1t",
"model_role": "executor",
"model_provider": "ollama_cloud",
"retrieved_context": {
"matrix_corpora": ["entity_brief_v1", "chicago_permits_v1", "distilled_procedural_v20260423102847", "sec_tickers_v1"],
"matrix_hits": 10
},
"observer_notes": ["contractor history shows 0 prior fills in Chicago downtown zone"],
"observer_verdict": "reject",
"observer_confidence": 95,
"success_markers": ["matrix_hits_above_threshold"],
"failure_markers": ["observer_rejected"],
"cost_usd": 0.0002,
"latency_ms": 25419,
"text": "Permit 101078392 contractor ANTHONY FIORE — analysis: insufficient prior performance signal; recommend escalation."
}
@@ -1,19 +0,0 @@
{
"run_id": "cae21289",
"task_id": "team_runs:637",
"timestamp": "2026-04-23T09:54:40.729599Z",
"schema_version": 1,
"provenance": {
"source_file": "data/_kb/distilled_facts.jsonl",
"line_offset": 0,
"sig_hash": "21a809e2dc43dfae0000000000000000000000000000000000000000deadbeef",
"recorded_at": "2026-04-26T22:30:00.000Z"
},
"model_name": "qwen2.5:latest",
"model_role": "extractor",
"model_provider": "ollama",
"text": "Convergence refers to the system stabilizing into a state of high performance with low variance across iterations.",
"validation_results": {
"schema_valid": true
}
}
@@ -1,56 +0,0 @@
// ModelLedgerEntry — aggregate per-task-type-per-model performance.
// Built by aggregating mode_experiments.jsonl + model_trust.jsonl.
// Updated rather than appended — one row per (model_name, task_type)
// representing latest aggregates.
import {
ValidationResult, requireString, requireNumber, requireIsoTimestamp, requireStringArray,
} from "./types";
export const MODEL_LEDGER_SCHEMA_VERSION = 1;
export interface ModelLedgerEntry {
schema_version: number;
model_name: string;
model_provider: string;
task_type: string;
success_rate: number; // [0, 1]
failure_modes: string[]; // top failure mode tags
best_partner_model?: string; // pairs well with X (consensus / tie-break)
escalation_role?: string; // when this model gets escalated TO (or FROM)
cost_usd_p50?: number;
latency_ms_p50?: number;
latency_ms_p95?: number;
context_window?: number;
sample_count: number;
last_updated: string; // ISO 8601
notes?: string;
}
export function validateModelLedgerEntry(input: unknown): ValidationResult<ModelLedgerEntry> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) return { valid: false, errors: ["expected object"] };
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== MODEL_LEDGER_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${MODEL_LEDGER_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.model_name, "model_name", errors) && ok;
ok = requireString(r.model_provider, "model_provider", errors) && ok;
ok = requireString(r.task_type, "task_type", errors) && ok;
ok = requireIsoTimestamp(r.last_updated, "last_updated", errors) && ok;
ok = requireStringArray(r.failure_modes, "failure_modes", errors) && ok;
if (!requireNumber(r.success_rate, "success_rate", errors)) ok = false;
else if ((r.success_rate as number) < 0 || (r.success_rate as number) > 1) {
errors.push("success_rate: must be in [0, 1]"); ok = false;
}
if (!requireNumber(r.sample_count, "sample_count", errors)) ok = false;
else if ((r.sample_count as number) < 1 || !Number.isInteger(r.sample_count)) {
errors.push("sample_count: must be positive integer (no aggregate from zero samples)"); ok = false;
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as ModelLedgerEntry };
}
-68
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@@ -1,68 +0,0 @@
// Playbook — procedural knowledge extracted from accepted/partially-
// accepted runs. Different from pathway_memory's bug_fingerprints (which
// are pattern-detectors) — playbooks describe HOW to handle a task type.
import {
ValidationResult, requireString, requireIsoTimestamp, requireProvenance, requireStringArray,
} from "./types";
export const PLAYBOOK_SCHEMA_VERSION = 1;
export interface Playbook {
schema_version: number;
playbook_id: string;
task_type: string; // e.g. "scrum_review", "pr_audit", "staffing.fill"
problem_pattern: string; // when does this playbook apply?
useful_context: string[]; // what to retrieve before running
model_routing_path: string[]; // ordered model attempts that worked
commands_worked: string[];
commands_failed: string[];
validation_steps: string[];
repo_files_touched: string[];
recovery_strategy: string; // what to do when the path fails
known_failure_modes: string[];
escalation_threshold: string; // when to switch to a stronger model
acceptance_criteria: string[]; // how to know it succeeded
source_run_ids: string[]; // FK to EvidenceRecord.run_id (provenance — every playbook traces to source)
created_at: string;
provenance: { source_file: string; line_offset?: number; sig_hash: string; recorded_at: string };
}
export function validatePlaybook(input: unknown): ValidationResult<Playbook> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) return { valid: false, errors: ["expected object"] };
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== PLAYBOOK_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${PLAYBOOK_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.playbook_id, "playbook_id", errors) && ok;
ok = requireString(r.task_type, "task_type", errors) && ok;
ok = requireString(r.problem_pattern, "problem_pattern", errors) && ok;
ok = requireString(r.recovery_strategy, "recovery_strategy", errors) && ok;
ok = requireString(r.escalation_threshold, "escalation_threshold", errors) && ok;
ok = requireIsoTimestamp(r.created_at, "created_at", errors) && ok;
ok = requireStringArray(r.useful_context, "useful_context", errors) && ok;
ok = requireStringArray(r.model_routing_path, "model_routing_path", errors) && ok;
ok = requireStringArray(r.commands_worked, "commands_worked", errors) && ok;
ok = requireStringArray(r.commands_failed, "commands_failed", errors) && ok;
ok = requireStringArray(r.validation_steps, "validation_steps", errors) && ok;
ok = requireStringArray(r.repo_files_touched, "repo_files_touched", errors) && ok;
ok = requireStringArray(r.known_failure_modes, "known_failure_modes", errors) && ok;
ok = requireStringArray(r.acceptance_criteria, "acceptance_criteria", errors) && ok;
ok = requireStringArray(r.source_run_ids, "source_run_ids", errors) && ok;
if (Array.isArray(r.source_run_ids) && r.source_run_ids.length === 0) {
errors.push("source_run_ids: must be non-empty — every playbook traces to source evidence (spec non-negotiable)");
ok = false;
}
if (Array.isArray(r.acceptance_criteria) && r.acceptance_criteria.length === 0) {
errors.push("acceptance_criteria: must be non-empty — every playbook needs success criteria (spec non-negotiable)");
ok = false;
}
ok = requireProvenance(r.provenance, "provenance", errors) && ok;
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as Playbook };
}
@@ -1,60 +0,0 @@
// PreferenceSample — entry in exports/preference/chosen_rejected.jsonl.
// Source: real disagreements (audit_discrepancies, scrum ladder retries).
// Validator pins: chosen != rejected, both source_run_ids present, reason
// is non-empty. No synthesized preferences.
import {
ValidationResult, requireString, requireIsoTimestamp, requireProvenance,
} from "./types";
export const PREFERENCE_SAMPLE_SCHEMA_VERSION = 1;
export interface PreferenceSample {
schema_version: number;
id: string;
prompt: string;
chosen: string;
rejected: string;
reason: string; // why chosen > rejected — must be non-empty
chosen_run_id: string;
rejected_run_id: string;
created_at: string;
provenance: { source_file: string; line_offset?: number; sig_hash: string; recorded_at: string };
}
export function validatePreferenceSample(input: unknown): ValidationResult<PreferenceSample> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) return { valid: false, errors: ["expected object"] };
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== PREFERENCE_SAMPLE_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${PREFERENCE_SAMPLE_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.id, "id", errors) && ok;
ok = requireString(r.prompt, "prompt", errors) && ok;
ok = requireString(r.chosen, "chosen", errors) && ok;
ok = requireString(r.rejected, "rejected", errors) && ok;
ok = requireString(r.reason, "reason", errors) && ok;
ok = requireString(r.chosen_run_id, "chosen_run_id", errors) && ok;
ok = requireString(r.rejected_run_id, "rejected_run_id", errors) && ok;
ok = requireIsoTimestamp(r.created_at, "created_at", errors) && ok;
ok = requireProvenance(r.provenance, "provenance", errors) && ok;
// Self-pairing guard.
if (r.chosen === r.rejected && typeof r.chosen === "string") {
errors.push("chosen and rejected must differ — preference data needs a real disagreement");
ok = false;
}
if (r.chosen_run_id === r.rejected_run_id && typeof r.chosen_run_id === "string") {
errors.push("chosen_run_id and rejected_run_id must differ — same run can't disagree with itself");
ok = false;
}
if (typeof r.reason === "string" && (r.reason as string).trim().length === 0) {
errors.push("reason: must be non-whitespace (every preference needs WHY chosen > rejected)");
ok = false;
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as PreferenceSample };
}
@@ -1,72 +0,0 @@
// RagSample — entry in exports/rag/playbooks.jsonl. Spec shape exactly,
// plus provenance + success_score (so the index can re-rank by quality).
import {
ValidationResult, requireString, requireNumber, requireIsoTimestamp, requireProvenance, requireStringArray,
} from "./types";
export const RAG_SAMPLE_SCHEMA_VERSION = 1;
// Allowed source_category values. RAG accepts accepted/partial freely;
// needs_human_review is opt-in (must be tagged so consumers can filter
// it out for SFT).
export const RAG_ALLOWED_CATEGORIES = ["accepted", "partially_accepted", "needs_human_review"] as const;
export type RagSourceCategory = (typeof RAG_ALLOWED_CATEGORIES)[number];
export interface RagSample {
schema_version: number;
id: string;
title: string;
content: string;
tags: string[];
source_run_id: string;
// Snapshot of the score the source carried at export time. Lets a
// consumer see "this was partial" without re-reading scored-runs.
success_score: RagSourceCategory;
// Same value as success_score by spec (now.md asks for both fields).
// Kept distinct so future schemas can diverge them (e.g. an
// "is_review_material" flag) without breaking old consumers.
source_category: RagSourceCategory;
embedding_text: string; // the text to embed (often == content but can be shorter)
created_at: string;
provenance: { source_file: string; line_offset?: number; sig_hash: string; recorded_at: string };
}
export function validateRagSample(input: unknown): ValidationResult<RagSample> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) return { valid: false, errors: ["expected object"] };
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== RAG_SAMPLE_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${RAG_SAMPLE_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.id, "id", errors) && ok;
ok = requireString(r.title, "title", errors) && ok;
ok = requireString(r.content, "content", errors) && ok;
ok = requireString(r.embedding_text, "embedding_text", errors) && ok;
ok = requireString(r.source_run_id, "source_run_id", errors) && ok;
ok = requireIsoTimestamp(r.created_at, "created_at", errors) && ok;
ok = requireStringArray(r.tags, "tags", errors) && ok;
ok = requireProvenance(r.provenance, "provenance", errors) && ok;
if (!RAG_ALLOWED_CATEGORIES.includes(r.success_score as RagSourceCategory)) {
errors.push(`success_score: must be one of ${RAG_ALLOWED_CATEGORIES.join("|")} (rejected never enters RAG)`);
ok = false;
}
if (!RAG_ALLOWED_CATEGORIES.includes(r.source_category as RagSourceCategory)) {
errors.push(`source_category: must be one of ${RAG_ALLOWED_CATEGORIES.join("|")}`);
ok = false;
}
if (r.success_score !== r.source_category) {
errors.push("success_score and source_category must match (mirrored fields per spec)");
ok = false;
}
if (typeof r.content === "string" && (r.content as string).trim().length === 0) {
errors.push("content: must be non-whitespace");
ok = false;
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as RagSample };
}
@@ -1,286 +0,0 @@
// Real-data validation test — proves the EvidenceRecord schema fits
// what we ALREADY produce, with the minimum transformation each source
// stream requires. Doubles as the stale-extraction probe: if
// distilled_facts.jsonl rows can't materialize, we know that stream
// has rotted and Phase 2 sources from elsewhere.
//
// Strategy:
// 1. Read first N rows from each source jsonl (skip if missing)
// 2. Apply minimal transformer: add schema_version + provenance,
// synthesize run_id/task_id when source doesn't carry them
// 3. Validate each materialized record
// 4. Tally pass/fail per source + collect failure reasons
//
// This file is allowed to skip when source files don't exist (fresh
// clone), so it acts as both a CI guard and a real-environment probe.
import { test, expect } from "bun:test";
import { existsSync, readFileSync } from "node:fs";
import { resolve } from "node:path";
import {
validateEvidenceRecord, EVIDENCE_SCHEMA_VERSION, EvidenceRecord, ModelRole,
} from "./evidence_record";
const ROOT = "/home/profit/lakehouse";
const SAMPLE_PER_SOURCE = 10;
interface SourceProbe {
source_file: string;
transform: (row: any, lineNo: number) => Partial<EvidenceRecord> | null;
}
// Canonical 64-char synthetic sha256 for tests where the source row
// lacks one. Pretends the materializer would compute it via
// canonicalSha256(orderedKeys(row)) at Phase 2 time. We use a fixed
// value here to keep the test deterministic; real materialization
// re-hashes per row.
const PLACEHOLDER_SHA = "0000000000000000000000000000000000000000000000000000000000000000";
const RECORDED = "2026-04-26T22:30:00.000Z";
function provFor(source_file: string, lineNo: number, sigHashRaw?: string): EvidenceRecord["provenance"] {
// Pad shorter hashes (distilled_* uses 16-char) to 64 — mimics
// canonical recompute.
const sig = sigHashRaw && /^[0-9a-f]+$/.test(sigHashRaw)
? sigHashRaw.padEnd(64, "0").slice(0, 64)
: PLACEHOLDER_SHA;
return {
source_file: source_file.replace(`${ROOT}/`, ""),
line_offset: lineNo,
sig_hash: sig,
recorded_at: RECORDED,
};
}
const PROBES: SourceProbe[] = [
{
source_file: `${ROOT}/data/_kb/distilled_facts.jsonl`,
transform: (row: any, lineNo: number) => ({
run_id: String(row.run_id ?? `distilled_facts:${lineNo}`),
task_id: String(row.source_label ?? `distilled_facts:${lineNo}`),
timestamp: row.created_at,
schema_version: EVIDENCE_SCHEMA_VERSION,
provenance: provFor(`${ROOT}/data/_kb/distilled_facts.jsonl`, lineNo, row.sig_hash),
model_name: row.extractor,
model_role: "extractor" as ModelRole,
model_provider: "ollama",
text: row.text,
}),
},
{
source_file: `${ROOT}/data/_kb/distilled_procedures.jsonl`,
transform: (row: any, lineNo: number) => ({
run_id: String(row.run_id ?? `distilled_procedures:${lineNo}`),
task_id: String(row.source_label ?? `distilled_procedures:${lineNo}`),
timestamp: row.created_at,
schema_version: EVIDENCE_SCHEMA_VERSION,
provenance: provFor(`${ROOT}/data/_kb/distilled_procedures.jsonl`, lineNo, row.sig_hash),
model_name: row.extractor,
model_role: "extractor" as ModelRole,
model_provider: "ollama",
text: row.text,
}),
},
{
source_file: `${ROOT}/data/_kb/contract_analyses.jsonl`,
transform: (row: any, lineNo: number) => ({
run_id: `contract_analysis:${row.permit_id}:${new Date(row.ts).getTime()}`,
task_id: `permit:${row.permit_id}`,
timestamp: row.ts,
schema_version: EVIDENCE_SCHEMA_VERSION,
provenance: provFor(`${ROOT}/data/_kb/contract_analyses.jsonl`, lineNo),
model_role: "executor" as ModelRole,
retrieved_context: {
matrix_corpora: Object.keys(row.matrix_corpora ?? {}),
matrix_hits: row.matrix_hits,
},
observer_notes: row.observer_notes ? [row.observer_notes].flat() : undefined,
observer_verdict: row.observer_verdict,
observer_confidence: row.observer_conf,
success_markers: row.ok ? ["matrix_hits_above_threshold"] : undefined,
failure_markers: !row.ok || row.observer_verdict === "reject" ? ["observer_rejected"] : undefined,
cost_usd: typeof row.cost === "number" ? row.cost / 1_000_000 : undefined,
latency_ms: row.duration_ms,
text: row.analysis,
}),
},
{
source_file: `${ROOT}/data/_kb/mode_experiments.jsonl`,
transform: (row: any, lineNo: number) => ({
run_id: `mode_exec:${new Date(row.ts).getTime()}:${row.file_path ?? "?"}`,
task_id: row.task_class,
timestamp: row.ts,
schema_version: EVIDENCE_SCHEMA_VERSION,
provenance: provFor(`${ROOT}/data/_kb/mode_experiments.jsonl`, lineNo),
model_name: row.model,
model_role: "executor" as ModelRole,
model_provider: row.model?.includes("/") ? "openrouter" : "ollama_cloud",
retrieved_context: {
matrix_corpora: row.sources?.matrix_corpus,
matrix_chunks_kept: row.sources?.matrix_chunks_kept,
matrix_chunks_dropped: row.sources?.matrix_chunks_dropped,
pathway_fingerprints_seen: row.sources?.bug_fingerprints_count,
},
latency_ms: row.latency_ms,
text: row.response,
source_files: row.file_path ? [row.file_path] : undefined,
}),
},
{
source_file: `${ROOT}/data/_kb/scrum_reviews.jsonl`,
transform: (row: any, lineNo: number) => ({
run_id: `scrum:${new Date(row.reviewed_at).getTime()}:${row.file}`,
task_id: `scrum_review:${row.file}`,
timestamp: row.reviewed_at,
schema_version: EVIDENCE_SCHEMA_VERSION,
provenance: provFor(`${ROOT}/data/_kb/scrum_reviews.jsonl`, lineNo),
model_name: row.accepted_model,
model_role: "executor" as ModelRole,
source_files: [row.file],
success_markers: row.accepted_on_attempt ? [`accepted_on_attempt_${row.accepted_on_attempt}`] : undefined,
text: row.suggestions_preview,
}),
},
{
source_file: `${ROOT}/data/_kb/observer_escalations.jsonl`,
transform: (row: any, lineNo: number) => ({
run_id: `obs_esc:${new Date(row.ts).getTime()}:${row.sig_hash}`,
task_id: `observer_escalation:${row.cluster_endpoint ?? "?"}`,
timestamp: row.ts,
schema_version: EVIDENCE_SCHEMA_VERSION,
provenance: provFor(`${ROOT}/data/_kb/observer_escalations.jsonl`, lineNo, row.sig_hash),
model_role: "reviewer" as ModelRole,
prompt_tokens: row.prompt_tokens,
completion_tokens: row.completion_tokens,
text: row.analysis,
}),
},
{
source_file: `${ROOT}/data/_kb/audit_facts.jsonl`,
transform: (row: any, lineNo: number) => ({
run_id: `audit_facts:${row.head_sha}:${lineNo}`,
task_id: `pr:${row.pr_number}`,
timestamp: row.extracted_at,
schema_version: EVIDENCE_SCHEMA_VERSION,
provenance: provFor(`${ROOT}/data/_kb/audit_facts.jsonl`, lineNo),
model_name: row.extractor,
model_role: "extractor" as ModelRole,
// facts/entities/relationships go into text as a JSON dump for now;
// structured handling lives in Phase 2 where we map to specific
// EvidenceRecord substructures.
text: JSON.stringify({
facts: row.facts?.length ?? 0,
entities: row.entities?.length ?? 0,
relationships: row.relationships?.length ?? 0,
}),
}),
},
];
interface ProbeResult {
source_file: string;
rows_attempted: number;
rows_present: boolean;
passed: number;
failed: number;
failure_reasons: string[]; // unique error strings, top 5
}
const RESULTS: ProbeResult[] = [];
for (const probe of PROBES) {
const sourceLabel = probe.source_file.replace(`${ROOT}/`, "");
test(`real-data: ${sourceLabel}`, () => {
const result: ProbeResult = {
source_file: sourceLabel,
rows_attempted: 0,
rows_present: false,
passed: 0,
failed: 0,
failure_reasons: [],
};
if (!existsSync(probe.source_file)) {
RESULTS.push(result);
// Skip silently — fresh clones won't have these files
return;
}
result.rows_present = true;
const lines = readFileSync(probe.source_file, "utf8").split("\n").filter(Boolean).slice(0, SAMPLE_PER_SOURCE);
const reasons = new Set<string>();
for (let i = 0; i < lines.length; i++) {
result.rows_attempted++;
let row: unknown;
try { row = JSON.parse(lines[i]); }
catch { continue; }
const transformed = probe.transform(row, i);
if (!transformed) continue;
const v = validateEvidenceRecord(transformed);
if (v.valid) result.passed++;
else {
result.failed++;
for (const e of v.errors) reasons.add(e);
}
}
result.failure_reasons = Array.from(reasons).slice(0, 5);
RESULTS.push(result);
// Test passes as long as we attempted something and got a result.
// Per-source pass/fail counts are reported in the markdown writeup.
expect(result.rows_attempted).toBeGreaterThanOrEqual(0);
});
}
test("real-data: emit markdown report", () => {
const md: string[] = [];
md.push("# Real-data validation report");
md.push("");
md.push("Schema = EvidenceRecord v" + EVIDENCE_SCHEMA_VERSION + ". Sample = first " + SAMPLE_PER_SOURCE + " rows per source.");
md.push("");
md.push("| Source | Present | Rows | Pass | Fail | Pass% |");
md.push("|---|---|---|---|---|---|");
for (const r of RESULTS) {
const pct = r.rows_attempted > 0 ? Math.round(100 * r.passed / r.rows_attempted) + "%" : "—";
md.push(`| ${r.source_file} | ${r.rows_present ? "✓" : "—"} | ${r.rows_attempted} | ${r.passed} | ${r.failed} | ${pct} |`);
}
md.push("");
let hasFailures = false;
for (const r of RESULTS) {
if (r.failed > 0) {
hasFailures = true;
md.push(`## Failures in ${r.source_file}`);
for (const reason of r.failure_reasons) md.push(`- \`${reason}\``);
md.push("");
}
}
if (!hasFailures) {
md.push("**No failures across all probed sources.** Every materialized record validates against EvidenceRecord v1.");
md.push("");
}
// Stale extraction probe: explicit pass/fail
const distilledFacts = RESULTS.find(r => r.source_file.endsWith("distilled_facts.jsonl"));
const distilledProc = RESULTS.find(r => r.source_file.endsWith("distilled_procedures.jsonl"));
md.push("## Stale-extraction probe");
md.push("");
if (distilledFacts && distilledFacts.rows_present && distilledFacts.passed > 0) {
md.push(`- **distilled_facts.jsonl:** ${distilledFacts.passed}/${distilledFacts.rows_attempted} materialize cleanly. Stream is alive at the schema level.`);
} else if (distilledFacts && !distilledFacts.rows_present) {
md.push(`- **distilled_facts.jsonl:** missing — stale or never produced. Phase 2 sources from live streams instead.`);
} else {
md.push(`- **distilled_facts.jsonl:** present but materialization failures; treat as suspect, prefer mode_experiments + scrum_reviews.`);
}
if (distilledProc && distilledProc.rows_present && distilledProc.passed > 0) {
md.push(`- **distilled_procedures.jsonl:** ${distilledProc.passed}/${distilledProc.rows_attempted} materialize cleanly.`);
}
md.push("");
// Write the markdown to a stable path and stdout
const out = md.join("\n");
Bun.write(`${ROOT}/data/_kb/realdata_validation_report.md`, out);
console.log("\n" + out);
});
-111
View File
@@ -1,111 +0,0 @@
// Receipt — per-pipeline-stage record with everything needed to
// reproduce the run. Spec non-negotiable: substantive receipts, not
// "ran successfully". Every field below has a deterministic source so
// the receipt schema validator catches "I forgot to fill it in" the
// same way it catches type errors.
import {
ValidationResult, requireString, requireNumber, requireIsoTimestamp,
} from "./types";
export const RECEIPT_SCHEMA_VERSION = 1;
export interface FileReference {
path: string; // relative to repo root
sha256: string; // hex
bytes?: number; // optional but recommended
}
export interface Receipt {
schema_version: number;
command: string; // shell-line or script identifier
git_sha: string; // 40-char hex (full SHA1)
git_branch?: string;
git_dirty?: boolean; // true if working tree had uncommitted changes
started_at: string; // ISO 8601
ended_at: string; // ISO 8601
duration_ms: number;
input_files: FileReference[];
output_files: FileReference[];
record_counts: {
in: number;
out: number;
[key: string]: number; // per-stage extras (filtered, dropped, etc.)
};
validation_pass: boolean; // explicit — never inferred
errors: string[];
warnings: string[];
}
function validateFileRef(v: unknown, field: string, errors: string[]): boolean {
if (typeof v !== "object" || v === null) {
errors.push(`${field}: expected object`);
return false;
}
const f = v as Record<string, unknown>;
let ok = true;
ok = requireString(f.path, `${field}.path`, errors) && ok;
if (typeof f.sha256 !== "string" || !/^[0-9a-f]{64}$/.test(f.sha256)) {
errors.push(`${field}.sha256: must be hex sha256`);
ok = false;
}
if (f.bytes !== undefined && typeof f.bytes !== "number") {
errors.push(`${field}.bytes: expected number when present`);
ok = false;
}
return ok;
}
export function validateReceipt(input: unknown): ValidationResult<Receipt> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) {
return { valid: false, errors: ["expected object"] };
}
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== RECEIPT_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${RECEIPT_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.command, "command", errors) && ok;
if (typeof r.git_sha !== "string" || !/^[0-9a-f]{40}$/.test(r.git_sha as string)) {
errors.push("git_sha: must be 40-char hex");
ok = false;
}
ok = requireIsoTimestamp(r.started_at, "started_at", errors) && ok;
ok = requireIsoTimestamp(r.ended_at, "ended_at", errors) && ok;
ok = requireNumber(r.duration_ms, "duration_ms", errors) && ok;
if (typeof r.validation_pass !== "boolean") {
errors.push("validation_pass: must be boolean (explicit, never inferred)");
ok = false;
}
if (!Array.isArray(r.input_files)) {
errors.push("input_files: expected array");
ok = false;
} else {
for (let i = 0; i < r.input_files.length; i++) {
if (!validateFileRef(r.input_files[i], `input_files[${i}]`, errors)) ok = false;
}
}
if (!Array.isArray(r.output_files)) {
errors.push("output_files: expected array");
ok = false;
} else {
for (let i = 0; i < r.output_files.length; i++) {
if (!validateFileRef(r.output_files[i], `output_files[${i}]`, errors)) ok = false;
}
}
if (typeof r.record_counts !== "object" || r.record_counts === null) {
errors.push("record_counts: expected object");
ok = false;
} else {
const rc = r.record_counts as Record<string, unknown>;
if (typeof rc.in !== "number") { errors.push("record_counts.in: expected number"); ok = false; }
if (typeof rc.out !== "number") { errors.push("record_counts.out: expected number"); ok = false; }
}
if (!Array.isArray(r.errors)) { errors.push("errors: expected array"); ok = false; }
if (!Array.isArray(r.warnings)) { errors.push("warnings: expected array"); ok = false; }
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as Receipt };
}
@@ -1,90 +0,0 @@
// run_summary.ts — aggregates StageReceipt rows for one run_id.
// Spec field set: total records processed, total accepted/rejected/
// quarantined, dataset sizes, validation status, overall hash of run.
import {
ValidationResult, requireString, requireNumber, requireIsoTimestamp, requireSha256,
} from "./types";
import type { StageName } from "./stage_receipt";
export const RUN_SUMMARY_SCHEMA_VERSION = 1;
export interface RunStageSummary {
stage: StageName;
records_in: number;
records_out: number;
accepted: number;
rejected: number;
quarantined: number;
skipped: number;
passed: boolean;
duration_ms: number;
output_hash: string;
}
export interface RunSummary {
schema_version: number;
run_id: string;
started_at: string; // earliest stage timestamp
ended_at: string; // latest stage timestamp + duration
git_commit: string;
stages: RunStageSummary[];
// Aggregates across stages
total_records_in: number;
total_records_out: number;
total_accepted: number;
total_rejected: number;
total_quarantined: number;
total_skipped: number;
// Dataset sizes — final outputs of each export stage
rag_records: number;
sft_records: number;
preference_pairs: number;
// Pipeline-wide pass = AND of every stage validation.passed
overall_passed: boolean;
// Run-wide hash: sha256 over each stage's output hash, sorted by stage name.
// Detects ANY change in any stage output across runs.
run_hash: string;
total_duration_ms: number;
}
export function validateRunSummary(input: unknown): ValidationResult<RunSummary> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) {
return { valid: false, errors: ["expected object"] };
}
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== RUN_SUMMARY_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${RUN_SUMMARY_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.run_id, "run_id", errors) && ok;
ok = requireIsoTimestamp(r.started_at, "started_at", errors) && ok;
ok = requireIsoTimestamp(r.ended_at, "ended_at", errors) && ok;
if (typeof r.git_commit !== "string" || !/^[0-9a-f]{40}$/.test(r.git_commit as string)) {
errors.push("git_commit: must be 40-char hex");
ok = false;
}
if (typeof r.overall_passed !== "boolean") {
errors.push("overall_passed: must be boolean");
ok = false;
}
ok = requireSha256(r.run_hash, "run_hash", errors) && ok;
for (const k of ["total_records_in", "total_records_out", "total_accepted", "total_rejected",
"total_quarantined", "total_skipped", "rag_records", "sft_records",
"preference_pairs", "total_duration_ms"]) {
if (typeof (r as any)[k] !== "number") {
errors.push(`${k}: expected number`);
ok = false;
}
}
if (!Array.isArray(r.stages)) {
errors.push("stages: expected array");
ok = false;
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as RunSummary };
}
@@ -1,367 +0,0 @@
// Combined schema tests for ScoredRun, Receipt, Playbook,
// ScratchpadSummary, ModelLedgerEntry, RagSample, SftSample,
// PreferenceSample. EvidenceRecord lives in its own file because it's
// the foundational schema and warrants the JSON-fixture round-trip
// pattern; the rest use inline fixture makers since they're simpler.
//
// Each schema: 1 positive fixture + 4-5 negative cases pinning the
// non-negotiable invariants from now.md.
//
// Run: bun test auditor/schemas/distillation/schemas.test.ts
import { test, expect } from "bun:test";
import { validateScoredRun, SCORED_RUN_SCHEMA_VERSION } from "./scored_run";
import { validateReceipt, RECEIPT_SCHEMA_VERSION } from "./receipt";
import { validatePlaybook, PLAYBOOK_SCHEMA_VERSION } from "./playbook";
import { validateScratchpadSummary, SCRATCHPAD_SCHEMA_VERSION } from "./scratchpad_summary";
import { validateModelLedgerEntry, MODEL_LEDGER_SCHEMA_VERSION } from "./model_ledger";
import { validateRagSample, RAG_SAMPLE_SCHEMA_VERSION } from "./rag_sample";
import { validateSftSample, SFT_SAMPLE_SCHEMA_VERSION } from "./sft_sample";
import { validatePreferenceSample, PREFERENCE_SAMPLE_SCHEMA_VERSION } from "./preference_sample";
const NOW = "2026-04-26T22:30:00.000Z";
const SHA = "0123456789abcdef0123456789abcdef0123456789abcdef0123456789abcdef";
const GIT_SHA = "f753e11157eef753e11157eef753e11157eef753";
const PROVENANCE = {
source_file: "data/_kb/scored_runs.jsonl",
line_offset: 0,
sig_hash: SHA,
recorded_at: NOW,
};
// ─── ScoredRun ───────────────────────────────────────────────────────
const SCORED_RUN_OK = {
schema_version: SCORED_RUN_SCHEMA_VERSION,
evidence_run_id: "run-abc",
evidence_task_id: "task-abc",
category: "accepted",
reasons: ["cargo_green=true", "anchor_grounding=0.95"],
scored_at: NOW,
scorer_version: "v1.0.0",
sub_scores: { cargo_green: true, anchor_grounding: 0.95 },
provenance: PROVENANCE,
};
test("ScoredRun: positive validates", () => {
const r = validateScoredRun(SCORED_RUN_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("ScoredRun: empty reasons rejected (every score needs a reason)", () => {
const r = validateScoredRun({ ...SCORED_RUN_OK, reasons: [] });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("reasons"))).toBe(true);
});
test("ScoredRun: invalid category rejected", () => {
const r = validateScoredRun({ ...SCORED_RUN_OK, category: "maybe_ok" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("category"))).toBe(true);
});
test("ScoredRun: anchor_grounding > 1 rejected (must be in [0, 1])", () => {
const r = validateScoredRun({ ...SCORED_RUN_OK, sub_scores: { ...SCORED_RUN_OK.sub_scores, anchor_grounding: 1.5 } });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("anchor_grounding"))).toBe(true);
});
// ─── Receipt ─────────────────────────────────────────────────────────
const RECEIPT_OK = {
schema_version: RECEIPT_SCHEMA_VERSION,
command: "bun run scripts/build_evidence_index.ts",
git_sha: GIT_SHA,
git_branch: "scrum/auto-apply-19814",
git_dirty: false,
started_at: NOW,
ended_at: NOW,
duration_ms: 1234,
input_files: [{ path: "data/_kb/scrum_reviews.jsonl", sha256: SHA, bytes: 448000 }],
output_files: [{ path: "data/evidence/2026/04/26/run.jsonl", sha256: SHA }],
record_counts: { in: 100, out: 95, filtered: 5 },
validation_pass: true,
errors: [],
warnings: [],
};
test("Receipt: positive validates", () => {
const r = validateReceipt(RECEIPT_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("Receipt: bad git_sha rejected (must be 40-char hex)", () => {
const r = validateReceipt({ ...RECEIPT_OK, git_sha: "abc123" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("git_sha"))).toBe(true);
});
test("Receipt: validation_pass must be boolean (never inferred)", () => {
const r = validateReceipt({ ...RECEIPT_OK, validation_pass: "yes" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("validation_pass"))).toBe(true);
});
test("Receipt: file refs without proper sha256 rejected", () => {
const r = validateReceipt({ ...RECEIPT_OK, output_files: [{ path: "x", sha256: "short" }] });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("sha256"))).toBe(true);
});
// ─── Playbook ────────────────────────────────────────────────────────
const PLAYBOOK_OK = {
schema_version: PLAYBOOK_SCHEMA_VERSION,
playbook_id: "pb-scrum-review-001",
task_type: "scrum_review",
problem_pattern: "Cargo workspace warning escalation after applier patch",
useful_context: ["pathway memory bug fingerprints for the file area"],
model_routing_path: ["x-ai/grok-4.1-fast"],
commands_worked: ["cargo check --workspace"],
commands_failed: [],
validation_steps: ["warning count must not increase"],
repo_files_touched: ["crates/queryd/src/service.rs"],
recovery_strategy: "git checkout -- file when cargo red",
known_failure_modes: ["unused import noise"],
escalation_threshold: "use kimi-k2:1t when isolation mode rejects 2 attempts",
acceptance_criteria: ["cargo green", "warning count stable", "rationale-diff aligned"],
source_run_ids: ["run-xyz", "run-abc"],
created_at: NOW,
provenance: PROVENANCE,
};
test("Playbook: positive validates", () => {
const r = validatePlaybook(PLAYBOOK_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("Playbook: empty source_run_ids rejected (every playbook traces to source — spec)", () => {
const r = validatePlaybook({ ...PLAYBOOK_OK, source_run_ids: [] });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("source_run_ids"))).toBe(true);
});
test("Playbook: empty acceptance_criteria rejected (every playbook needs success criteria — spec)", () => {
const r = validatePlaybook({ ...PLAYBOOK_OK, acceptance_criteria: [] });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("acceptance_criteria"))).toBe(true);
});
// ─── ScratchpadSummary ───────────────────────────────────────────────
const SCRATCHPAD_OK = {
schema_version: SCRATCHPAD_SCHEMA_VERSION,
run_id: "run-abc",
current_objective: "verify pr_audit mode end-to-end",
completed_steps: ["restart gateway"],
failed_steps: ["cloud chat returned 500"],
pending_steps: ["swap default model"],
important_paths: ["auditor/checks/inference.ts"],
decisions: ["defer kimi-k2 swap until upstream returns"],
unresolved_questions: ["does deepseek match kimi quality?"],
validation_status: "partial",
next_command: "bun run auditor/audit_one.ts 11",
source_scratchpad_hash: SHA,
summarized_at: NOW,
provenance: PROVENANCE,
};
test("ScratchpadSummary: positive validates", () => {
const r = validateScratchpadSummary(SCRATCHPAD_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("ScratchpadSummary: invalid validation_status rejected", () => {
const r = validateScratchpadSummary({ ...SCRATCHPAD_OK, validation_status: "tbd" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("validation_status"))).toBe(true);
});
test("ScratchpadSummary: short scratchpad_hash rejected", () => {
const r = validateScratchpadSummary({ ...SCRATCHPAD_OK, source_scratchpad_hash: "short" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("source_scratchpad_hash"))).toBe(true);
});
// ─── ModelLedgerEntry ────────────────────────────────────────────────
const LEDGER_OK = {
schema_version: MODEL_LEDGER_SCHEMA_VERSION,
model_name: "kimi-k2:1t",
model_provider: "ollama_cloud",
task_type: "pr_audit",
success_rate: 0.85,
failure_modes: ["upstream_500", "context_truncation"],
best_partner_model: "x-ai/grok-4.1-fast",
escalation_role: "primary",
cost_usd_p50: 0.0002,
latency_ms_p50: 50000,
latency_ms_p95: 90000,
context_window: 200000,
sample_count: 47,
last_updated: NOW,
};
test("ModelLedgerEntry: positive validates", () => {
const r = validateModelLedgerEntry(LEDGER_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("ModelLedgerEntry: success_rate > 1 rejected", () => {
const r = validateModelLedgerEntry({ ...LEDGER_OK, success_rate: 1.5 });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("success_rate"))).toBe(true);
});
test("ModelLedgerEntry: zero sample_count rejected (no aggregate from zero)", () => {
const r = validateModelLedgerEntry({ ...LEDGER_OK, sample_count: 0 });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("sample_count"))).toBe(true);
});
// ─── RagSample ───────────────────────────────────────────────────────
const RAG_OK = {
schema_version: RAG_SAMPLE_SCHEMA_VERSION,
id: "rag-pb-001",
title: "Scrum applier rationale-diff alignment",
content: "When the applier emits a patch with rationale claiming X but the diff shows Y, the rationale-token alignment gate catches it...",
tags: ["scrum_review", "applier"],
source_run_id: "run-xyz",
success_score: "accepted",
source_category: "accepted",
embedding_text: "applier rationale-diff alignment guard scrum",
created_at: NOW,
provenance: PROVENANCE,
};
test("RagSample: positive validates", () => {
const r = validateRagSample(RAG_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("RagSample: success_score=rejected forbidden (RAG never takes rejected)", () => {
const r = validateRagSample({ ...RAG_OK, success_score: "rejected", source_category: "rejected" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("success_score"))).toBe(true);
});
test("RagSample: success_score and source_category must match", () => {
const r = validateRagSample({ ...RAG_OK, success_score: "accepted", source_category: "partially_accepted" });
expect(r.valid).toBe(false);
});
test("RagSample: whitespace-only content rejected", () => {
const r = validateRagSample({ ...RAG_OK, content: " \n " });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("content"))).toBe(true);
});
// ─── SftSample (the strict one) ──────────────────────────────────────
const SFT_OK = {
schema_version: SFT_SAMPLE_SCHEMA_VERSION,
id: "sft-pr11-001",
instruction: "Audit this PR diff against ship-claims.",
context: "claims: 3 strong, 2 moderate",
response: "{\"claim_verdicts\": [...]}",
source_run_id: "run-pr11",
quality_score: "accepted",
created_at: NOW,
provenance: PROVENANCE,
};
test("SftSample: positive validates", () => {
const r = validateSftSample(SFT_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("SftSample: quality_score=partially_accepted ACCEPTED (--include-partial path)", () => {
// Phase 4 update: partial allowed at schema layer; CLI gate decides.
const r = validateSftSample({ ...SFT_OK, quality_score: "partially_accepted" });
expect(r.valid).toBe(true);
});
test("SftSample: quality_score=rejected REJECTED (spec non-negotiable, no leak)", () => {
const r = validateSftSample({ ...SFT_OK, quality_score: "rejected" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("quality_score"))).toBe(true);
});
test("SftSample: quality_score=needs_human_review REJECTED (no leak)", () => {
const r = validateSftSample({ ...SFT_OK, quality_score: "needs_human_review" });
expect(r.valid).toBe(false);
});
test("SftSample: missing context rejected (must be string, even if empty)", () => {
const fixture: Record<string, unknown> = { ...SFT_OK };
delete fixture.context;
const r = validateSftSample(fixture);
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("context"))).toBe(true);
});
test("SftSample: empty-string context allowed", () => {
const r = validateSftSample({ ...SFT_OK, context: "" });
expect(r.valid).toBe(true);
});
test("SftSample: empty response rejected (no empty pairs)", () => {
const r = validateSftSample({ ...SFT_OK, response: "" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("response"))).toBe(true);
});
test("SftSample: whitespace-only instruction rejected", () => {
const r = validateSftSample({ ...SFT_OK, instruction: " \t\n " });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("instruction"))).toBe(true);
});
// ─── PreferenceSample ────────────────────────────────────────────────
const PREF_OK = {
schema_version: PREFERENCE_SAMPLE_SCHEMA_VERSION,
id: "pref-task-x-001",
prompt: "Verify claim: 'all 3 services running on matrix-test'",
chosen: "{\"backed\": true, \"evidence\": \"systemctl status confirms 3 active\"}",
rejected: "{\"backed\": true, \"evidence\": \"the README says so\"}",
reason: "chosen cites runtime evidence, rejected cites doc claim only",
chosen_run_id: "run-A",
rejected_run_id: "run-B",
created_at: NOW,
provenance: PROVENANCE,
};
test("PreferenceSample: positive validates", () => {
const r = validatePreferenceSample(PREF_OK);
if (!r.valid) console.error(r.errors);
expect(r.valid).toBe(true);
});
test("PreferenceSample: chosen == rejected rejected (no self-pairing)", () => {
const r = validatePreferenceSample({ ...PREF_OK, chosen: "x", rejected: "x" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("chosen and rejected"))).toBe(true);
});
test("PreferenceSample: chosen_run_id == rejected_run_id rejected (no self-disagreement)", () => {
const r = validatePreferenceSample({ ...PREF_OK, chosen_run_id: "run-A", rejected_run_id: "run-A" });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("chosen_run_id"))).toBe(true);
});
test("PreferenceSample: empty reason rejected (every preference needs WHY)", () => {
const r = validatePreferenceSample({ ...PREF_OK, reason: " " });
expect(r.valid).toBe(false);
if (!r.valid) expect(r.errors.some(e => e.includes("reason"))).toBe(true);
});
@@ -1,86 +0,0 @@
// ScoredRun — output of the deterministic Success Scorer (Phase 3).
// Spec mandates 4 categories with explicit reasons; we add scorer
// versioning so a future scorer change is detectable in historical data.
import {
ValidationResult, requireString, requireIsoTimestamp, requireProvenance, requireStringArray, requireNumber,
} from "./types";
export const SCORED_RUN_SCHEMA_VERSION = 1;
export const SCORE_CATEGORIES = ["accepted", "partially_accepted", "rejected", "needs_human_review"] as const;
export type ScoreCategory = (typeof SCORE_CATEGORIES)[number];
export interface ScoredRun {
schema_version: number;
evidence_run_id: string; // FK to EvidenceRecord.run_id
evidence_task_id: string; // FK to EvidenceRecord.task_id
category: ScoreCategory;
reasons: string[]; // human-readable, e.g. ["cargo_green=true", "anchor_grounding<0.7"]
scored_at: string; // ISO 8601
scorer_version: string; // e.g. "v1.0.0" — bumped on scorer code change
// Sub-scores that the scorer collapsed into the category. Persisted
// so a downstream UI can show "why" without re-running the scorer.
sub_scores?: {
cargo_green?: boolean;
anchor_grounding?: number;
schema_valid?: boolean;
pathway_replay_succeeded?: boolean;
observer_verdict?: "accept" | "reject" | "cycle";
[key: string]: unknown;
};
provenance: {
source_file: string;
line_offset?: number;
sig_hash: string;
recorded_at: string;
};
}
export function validateScoredRun(input: unknown): ValidationResult<ScoredRun> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) {
return { valid: false, errors: ["expected object"] };
}
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== SCORED_RUN_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${SCORED_RUN_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.evidence_run_id, "evidence_run_id", errors) && ok;
ok = requireString(r.evidence_task_id, "evidence_task_id", errors) && ok;
ok = requireIsoTimestamp(r.scored_at, "scored_at", errors) && ok;
ok = requireString(r.scorer_version, "scorer_version", errors) && ok;
ok = requireStringArray(r.reasons, "reasons", errors) && ok;
if (Array.isArray(r.reasons) && r.reasons.length === 0) {
errors.push("reasons: must be non-empty (every score must have at least one reason)");
ok = false;
}
if (!SCORE_CATEGORIES.includes(r.category as ScoreCategory)) {
errors.push(`category: must be one of ${SCORE_CATEGORIES.join("|")}, got ${JSON.stringify(r.category)}`);
ok = false;
}
ok = requireProvenance(r.provenance, "provenance", errors) && ok;
if (r.sub_scores !== undefined) {
if (typeof r.sub_scores !== "object" || r.sub_scores === null) {
errors.push("sub_scores: expected object when present");
ok = false;
} else {
const ss = r.sub_scores as Record<string, unknown>;
if (ss.anchor_grounding !== undefined) {
if (!requireNumber(ss.anchor_grounding, "sub_scores.anchor_grounding", errors)) ok = false;
else if ((ss.anchor_grounding as number) < 0 || (ss.anchor_grounding as number) > 1) {
errors.push("sub_scores.anchor_grounding: must be in [0, 1]");
ok = false;
}
}
if (ss.observer_verdict !== undefined && !["accept", "reject", "cycle"].includes(ss.observer_verdict as string)) {
errors.push("sub_scores.observer_verdict: must be accept|reject|cycle");
ok = false;
}
}
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as ScoredRun };
}
@@ -1,65 +0,0 @@
// ScratchpadSummary — structured normalization of a tree-split or
// long-running scratchpad. Distinct from EvidenceRecord because a
// scratchpad accumulates across many calls; this schema captures the
// state at a checkpoint moment.
import {
ValidationResult, requireString, requireIsoTimestamp, requireProvenance, requireStringArray,
} from "./types";
export const SCRATCHPAD_SCHEMA_VERSION = 1;
export interface ScratchpadSummary {
schema_version: number;
run_id: string;
current_objective: string;
completed_steps: string[];
failed_steps: string[];
pending_steps: string[];
important_paths: string[]; // file paths the scratchpad references
decisions: string[]; // architectural/scope decisions made
unresolved_questions: string[];
validation_status: "pass" | "fail" | "partial" | "pending";
next_command?: string; // recommendation for next action
source_scratchpad_hash: string; // sha256 of the full source scratchpad text — diff detection
summarized_at: string; // ISO 8601
provenance: { source_file: string; line_offset?: number; sig_hash: string; recorded_at: string };
}
const STATUS = ["pass", "fail", "partial", "pending"];
export function validateScratchpadSummary(input: unknown): ValidationResult<ScratchpadSummary> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) return { valid: false, errors: ["expected object"] };
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== SCRATCHPAD_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${SCRATCHPAD_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.run_id, "run_id", errors) && ok;
ok = requireString(r.current_objective, "current_objective", errors) && ok;
ok = requireIsoTimestamp(r.summarized_at, "summarized_at", errors) && ok;
if (typeof r.source_scratchpad_hash !== "string" || !/^[0-9a-f]{64}$/.test(r.source_scratchpad_hash as string)) {
errors.push("source_scratchpad_hash: must be hex sha256");
ok = false;
}
ok = requireStringArray(r.completed_steps, "completed_steps", errors) && ok;
ok = requireStringArray(r.failed_steps, "failed_steps", errors) && ok;
ok = requireStringArray(r.pending_steps, "pending_steps", errors) && ok;
ok = requireStringArray(r.important_paths, "important_paths", errors) && ok;
ok = requireStringArray(r.decisions, "decisions", errors) && ok;
ok = requireStringArray(r.unresolved_questions, "unresolved_questions", errors) && ok;
if (!STATUS.includes(r.validation_status as string)) {
errors.push(`validation_status: must be one of ${STATUS.join("|")}`);
ok = false;
}
if (r.next_command !== undefined && typeof r.next_command !== "string") {
errors.push("next_command: expected string when present");
ok = false;
}
ok = requireProvenance(r.provenance, "provenance", errors) && ok;
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as ScratchpadSummary };
}
@@ -1,69 +0,0 @@
// SftSample — entry in exports/sft/instruction_response.jsonl. Spec
// non-negotiable: ONLY accepted runs, never partial/rejected/needs_human.
// Validator enforces that invariant — exporters can't bypass.
import {
ValidationResult, requireString, requireIsoTimestamp, requireProvenance, requireNumber,
} from "./types";
export const SFT_SAMPLE_SCHEMA_VERSION = 1;
// SFT default: only `accepted` ships. With --include-partial CLI flag,
// `partially_accepted` becomes legal. `rejected` and `needs_human_review`
// NEVER ship to SFT — that's the contamination firewall.
export const SFT_QUALITY_SCORES = ["accepted", "partially_accepted"] as const;
export type SftQualityScore = (typeof SFT_QUALITY_SCORES)[number];
export interface SftSample {
schema_version: number;
id: string;
instruction: string; // the prompt / user message
context: string; // retrieved context that was visible (empty string allowed; null/undefined not)
response: string; // the model output that was accepted
source_run_id: string;
quality_score: SftQualityScore;
created_at: string;
provenance: { source_file: string; line_offset?: number; sig_hash: string; recorded_at: string };
}
export function validateSftSample(input: unknown): ValidationResult<SftSample> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) return { valid: false, errors: ["expected object"] };
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== SFT_SAMPLE_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${SFT_SAMPLE_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.id, "id", errors) && ok;
ok = requireString(r.instruction, "instruction", errors) && ok;
ok = requireString(r.response, "response", errors) && ok;
ok = requireString(r.source_run_id, "source_run_id", errors) && ok;
ok = requireIsoTimestamp(r.created_at, "created_at", errors) && ok;
ok = requireProvenance(r.provenance, "provenance", errors) && ok;
// Empty pair guard.
if (typeof r.instruction === "string" && (r.instruction as string).trim().length === 0) {
errors.push("instruction: must be non-whitespace (no empty pairs)");
ok = false;
}
if (typeof r.response === "string" && (r.response as string).trim().length === 0) {
errors.push("response: must be non-whitespace (no empty pairs)");
ok = false;
}
// Context is required-string but empty is allowed (some SFT samples
// are pure instruction→response with no retrieval context).
if (typeof r.context !== "string") {
errors.push("context: expected string (use empty string for no-context samples)");
ok = false;
}
// The non-negotiable: SFT samples MUST have quality_score in
// SFT_QUALITY_SCORES. Anything else is a leak.
if (!SFT_QUALITY_SCORES.includes(r.quality_score as SftQualityScore)) {
errors.push(`quality_score: must be one of ${SFT_QUALITY_SCORES.join("|")} (no rejected/needs_human leak into SFT — spec non-negotiable). Got ${JSON.stringify(r.quality_score)}`);
ok = false;
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as SftSample };
}
@@ -1,190 +0,0 @@
// stage_receipt.ts — forensic-grade per-stage receipt.
//
// Distinct from auditor/schemas/distillation/receipt.ts (Phase 1):
// - Phase 1 Receipt is per-script invocation, format inherited from
// the early auditor wiring
// - StageReceipt (THIS file) matches the now.md Phase 5 spec exactly
// and is the canonical artifact for pipeline observability
//
// Every pipeline stage (collect, score, export-rag, export-sft,
// export-preference, future extract-playbooks/index) emits ONE
// StageReceipt per run. Receipts are joined by `run_id` (shared
// across all stages of a single `run-all` invocation) so a future
// query can aggregate across the whole pipeline.
import {
ValidationResult, requireString, requireNumber, requireIsoTimestamp, requireSha256,
requireStringArray,
} from "./types";
export const STAGE_RECEIPT_SCHEMA_VERSION = 1;
export const STAGE_NAMES = [
"collect", // build_evidence_index — materialize source jsonls → EvidenceRecord
"score", // score_runs — EvidenceRecord → ScoredRun
"export-rag", // exports/rag/playbooks.jsonl
"export-sft", // exports/sft/instruction_response.jsonl
"export-preference",// exports/preference/chosen_rejected.jsonl
// Reserved for future stages — accept them in the schema so a stage
// can be added without bumping schema_version.
"extract-playbooks",
"index",
] as const;
export type StageName = (typeof STAGE_NAMES)[number];
export interface StageFileRef {
path: string; // relative to repo root
sha256: string; // 64-char hex
bytes?: number;
record_count?: number; // line count for jsonl, when meaningful
}
export interface StageIO {
files: StageFileRef[];
record_count: number;
hash: string; // 64-char hex — aggregate over all file hashes (sorted)
}
export interface StageStats {
accepted: number; // rows that ended up in the stage's output
rejected: number; // explicit category=rejected (Score), invalid pairs (Preference), etc.
quarantined: number; // routed to exports/quarantine/* with structured reason
skipped: number; // parse failures, schema violations at write time
}
export interface StageValidation {
passed: boolean; // explicit boolean — never inferred (spec non-negotiable)
errors: string[];
warnings: string[];
}
export interface StageReceipt {
schema_version: number;
run_id: string; // shared across all stages of one pipeline run
stage: StageName;
timestamp: string; // ISO 8601 — stage start
git_commit: string; // 40-char hex
inputs: StageIO;
outputs: StageIO;
stats: StageStats;
validation: StageValidation;
duration_ms: number;
}
function validateStageIO(v: unknown, field: string, errors: string[]): boolean {
if (typeof v !== "object" || v === null) {
errors.push(`${field}: expected object`);
return false;
}
const io = v as Record<string, unknown>;
let ok = true;
if (!Array.isArray(io.files)) {
errors.push(`${field}.files: expected array`);
ok = false;
} else {
for (let i = 0; i < io.files.length; i++) {
const f = io.files[i] as Record<string, unknown>;
if (typeof f !== "object" || f === null) {
errors.push(`${field}.files[${i}]: expected object`);
ok = false;
continue;
}
ok = requireString(f.path, `${field}.files[${i}].path`, errors) && ok;
ok = requireSha256(f.sha256, `${field}.files[${i}].sha256`, errors) && ok;
if (f.bytes !== undefined && typeof f.bytes !== "number") {
errors.push(`${field}.files[${i}].bytes: expected number when present`);
ok = false;
}
if (f.record_count !== undefined && typeof f.record_count !== "number") {
errors.push(`${field}.files[${i}].record_count: expected number when present`);
ok = false;
}
}
}
ok = requireNumber(io.record_count, `${field}.record_count`, errors) && ok;
ok = requireSha256(io.hash, `${field}.hash`, errors) && ok;
return ok;
}
export function validateStageReceipt(input: unknown): ValidationResult<StageReceipt> {
const errors: string[] = [];
if (typeof input !== "object" || input === null) {
return { valid: false, errors: ["expected object"] };
}
const r = input as Record<string, unknown>;
let ok = true;
if (r.schema_version !== STAGE_RECEIPT_SCHEMA_VERSION) {
errors.push(`schema_version: expected ${STAGE_RECEIPT_SCHEMA_VERSION}, got ${JSON.stringify(r.schema_version)}`);
ok = false;
}
ok = requireString(r.run_id, "run_id", errors) && ok;
if (typeof r.run_id === "string" && r.run_id.length < 8) {
errors.push("run_id: too short — expect uuid-like");
ok = false;
}
if (typeof r.stage !== "string" || !STAGE_NAMES.includes(r.stage as StageName)) {
errors.push(`stage: must be one of ${STAGE_NAMES.join("|")}`);
ok = false;
}
ok = requireIsoTimestamp(r.timestamp, "timestamp", errors) && ok;
if (typeof r.git_commit !== "string" || !/^[0-9a-f]{40}$/.test(r.git_commit as string)) {
errors.push("git_commit: must be 40-char hex");
ok = false;
}
if (typeof r.duration_ms !== "number") {
errors.push("duration_ms: expected number");
ok = false;
}
if (typeof r.inputs !== "object" || r.inputs === null) {
errors.push("inputs: expected object");
ok = false;
} else {
ok = validateStageIO(r.inputs, "inputs", errors) && ok;
}
if (typeof r.outputs !== "object" || r.outputs === null) {
errors.push("outputs: expected object");
ok = false;
} else {
ok = validateStageIO(r.outputs, "outputs", errors) && ok;
}
if (typeof r.stats !== "object" || r.stats === null) {
errors.push("stats: expected object");
ok = false;
} else {
const s = r.stats as Record<string, unknown>;
for (const k of ["accepted", "rejected", "quarantined", "skipped"]) {
if (typeof s[k] !== "number") { errors.push(`stats.${k}: expected number`); ok = false; }
}
}
if (typeof r.validation !== "object" || r.validation === null) {
errors.push("validation: expected object");
ok = false;
} else {
const v = r.validation as Record<string, unknown>;
if (typeof v.passed !== "boolean") {
errors.push("validation.passed: must be boolean (explicit, never inferred)");
ok = false;
}
if (!Array.isArray(v.errors)) { errors.push("validation.errors: expected array"); ok = false; }
if (!Array.isArray(v.warnings)) { errors.push("validation.warnings: expected array"); ok = false; }
if (Array.isArray(v.errors)) ok = requireStringArray(v.errors, "validation.errors", errors) && ok;
if (Array.isArray(v.warnings)) ok = requireStringArray(v.warnings, "validation.warnings", errors) && ok;
}
if (!ok) return { valid: false, errors };
return { valid: true, value: r as unknown as StageReceipt };
}
// Compute the canonical aggregate hash over a list of file refs.
// Sorted by path so order-of-iteration doesn't drift the hash.
// Each entry contributes "<path>|<sha256>|<record_count>" so two
// files with identical content but different paths produce distinct
// digests (real difference = real hash difference).
export async function aggregateIoHash(files: StageFileRef[]): Promise<string> {
const sorted = [...files].sort((a, b) => a.path.localeCompare(b.path));
const parts = sorted.map(f => `${f.path}|${f.sha256}|${f.record_count ?? 0}`);
const h = new Bun.CryptoHasher("sha256");
h.update(parts.join("\n"));
return h.digest("hex");
}
-141
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@@ -1,141 +0,0 @@
// Shared types for distillation schemas. Hand-rolled validators (no Zod
// dependency) — bun:test runs them; runtime cost is one tiny function
// per record. Pattern: each schema exports `validate(x): ValidationResult`
// returning `{valid: true, value}` or `{valid: false, errors}`.
//
// Why hand-rolled: the auditor + scrum + observer pipelines emit JSONL
// rows in shapes that already work; we want to ENFORCE those shapes
// without adding a 100KB dependency or rewriting producers. The
// validators codify what we already produce.
//
// Naming: schemas live as nouns (`EvidenceRecord`), validators as
// `validate<Noun>`. Each schema file exports both the type and the
// validator.
export interface Provenance {
// Path to the JSONL or other source where this row came from. Always
// relative to /home/profit/lakehouse so receipts are reproducible
// across deploys with the same repo layout.
source_file: string;
// Optional byte offset / line number into the source file. Lets a
// future "open the source row" UI jump directly to the line. Some
// sources (single-row JSON files like _playbook_lessons/*.json) don't
// need this.
line_offset?: number;
// SHA-256 of the canonical JSON of the source row (sorted keys, no
// whitespace). This is the dedup key — running distillation twice on
// the same source produces identical sig_hash, so duplicates are
// detectable without full row comparison.
sig_hash: string;
// ISO 8601 of when this provenance link was recorded — usually the
// moment the unified Evidence Index ran. Distinct from the source
// row's own timestamp, which lives on the EvidenceRecord itself.
recorded_at: string;
}
// Returned by every schema validator. The shape is `{valid: true, value}`
// for success (so callers can use `value` with the right type narrowed)
// or `{valid: false, errors}` for failure (so callers can surface
// every error at once, not just the first).
export type ValidationResult<T> =
| { valid: true; value: T }
| { valid: false; errors: string[] };
// Standard helpers used by every schema. Centralized so naming +
// error message format stay consistent across schemas.
export function requireString(v: unknown, field: string, errors: string[]): v is string {
if (typeof v !== "string") {
errors.push(`${field}: expected string, got ${typeof v}`);
return false;
}
if (v.length === 0) {
errors.push(`${field}: must be non-empty`);
return false;
}
return true;
}
export function requireNumber(v: unknown, field: string, errors: string[]): v is number {
if (typeof v !== "number" || !Number.isFinite(v)) {
errors.push(`${field}: expected finite number, got ${typeof v}`);
return false;
}
return true;
}
export function requireIsoTimestamp(v: unknown, field: string, errors: string[]): v is string {
if (!requireString(v, field, errors)) return false;
// Permissive ISO 8601: YYYY-MM-DDTHH:MM:SS(.fraction)?(Z|±HH:MM)?
const re = /^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(?:\.\d+)?(?:Z|[+-]\d{2}:?\d{2})?$/;
if (!re.test(v as string)) {
errors.push(`${field}: not a valid ISO 8601 timestamp: ${(v as string).slice(0, 60)}`);
return false;
}
return true;
}
export function requireSha256(v: unknown, field: string, errors: string[]): v is string {
if (!requireString(v, field, errors)) return false;
if (!/^[0-9a-f]{64}$/.test(v as string)) {
errors.push(`${field}: not a valid hex sha256: ${(v as string).slice(0, 80)}`);
return false;
}
return true;
}
export function requireProvenance(v: unknown, field: string, errors: string[]): v is Provenance {
if (typeof v !== "object" || v === null) {
errors.push(`${field}: expected object, got ${v === null ? "null" : typeof v}`);
return false;
}
const p = v as Record<string, unknown>;
let ok = true;
ok = requireString(p.source_file, `${field}.source_file`, errors) && ok;
ok = requireSha256(p.sig_hash, `${field}.sig_hash`, errors) && ok;
ok = requireIsoTimestamp(p.recorded_at, `${field}.recorded_at`, errors) && ok;
if (p.line_offset !== undefined && typeof p.line_offset !== "number") {
errors.push(`${field}.line_offset: expected number when present`);
ok = false;
}
return ok;
}
export function requireStringArray(v: unknown, field: string, errors: string[]): v is string[] {
if (!Array.isArray(v)) {
errors.push(`${field}: expected array, got ${typeof v}`);
return false;
}
for (let i = 0; i < v.length; i++) {
if (typeof v[i] !== "string") {
errors.push(`${field}[${i}]: expected string, got ${typeof v[i]}`);
return false;
}
}
return true;
}
// Compute the canonical sha256 used for sig_hash. Sorts keys so the
// hash is stable regardless of producer's serialization order. Uses
// Bun.CryptoHasher (sync, fast) rather than node:crypto — matches the
// rest of the auditor.
export async function canonicalSha256(obj: unknown): Promise<string> {
const ordered = orderKeys(obj);
const json = JSON.stringify(ordered);
const hasher = new Bun.CryptoHasher("sha256");
hasher.update(json);
return hasher.digest("hex");
}
function orderKeys(v: unknown): unknown {
if (v === null || typeof v !== "object") return v;
if (Array.isArray(v)) return v.map(orderKeys);
const out: Record<string, unknown> = {};
for (const k of Object.keys(v as object).sort()) {
out[k] = orderKeys((v as Record<string, unknown>)[k]);
}
return out;
}
-86
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@@ -1,86 +0,0 @@
# Mode router config — task_class → mode mapping
#
# `preferred_mode` is the first choice for a task class; `fallback_modes`
# get tried in order if the preferred one isn't available (LLM Team can
# return Unknown mode for some, OR the matrix has stronger signal for a
# fallback). `default_model` seeds the mode runner's model field if the
# caller doesn't override.
#
# Modes are dispatched against LLM Team UI (localhost:5000/api/run) for
# now; future Rust-native runners will short-circuit before the proxy.
# See crates/gateway/src/v1/mode.rs for the dispatch path.
[[task_class]]
name = "scrum_review"
# 2026-04-26 pass5 variance test (5 reps × 4 conditions, grok-4.1-fast,
# pathway_memory.rs): composed corpus LOST 5/5 vs isolation (Δ −1.8
# grounded findings, p=0.031). See docs/MODE_RUNNER_TUNING_PLAN.md.
# Default is now isolation — bug fingerprints + adversarial framing +
# file content carries strong models without matrix noise. The
# `codereview_lakehouse` matrix path remains available via force_mode
# (auto-downgrades to isolation on strong models — see the
# is_strong_model gate in crates/gateway/src/v1/mode.rs).
preferred_mode = "codereview_isolation"
fallback_modes = ["codereview_lakehouse", "codereview", "consensus", "ladder"]
default_model = "qwen3-coder:480b"
# Corpora kept defined so experimental modes (codereview_matrix_only,
# pass2/pass5 sweeps) and weak-model rescue rungs can still pull them.
# scrum_findings_v1 is built but EXCLUDED — bake-off showed 24% OOB
# line citations from cross-file drift, only safe with same-file gating.
matrix_corpus = ["lakehouse_arch_v1", "lakehouse_symbols_v1"]
[[task_class]]
name = "contract_analysis"
preferred_mode = "deep_analysis"
fallback_modes = ["research", "extract"]
default_model = "kimi-k2:1t"
matrix_corpus = "chicago_permits_v1"
[[task_class]]
name = "staffing_inference"
# Staffing-domain native enrichment runner — Pass 4 (2026-04-26).
# Same composer architecture as codereview_lakehouse but with staffing
# framing + workers corpus. Validates that the modes-as-prompt-molders
# pattern generalizes beyond code review.
preferred_mode = "staffing_inference_lakehouse"
fallback_modes = ["ladder", "consensus", "pipeline"]
default_model = "openai/gpt-oss-120b:free"
matrix_corpus = "workers_500k_v8"
[[task_class]]
name = "fact_extract"
preferred_mode = "extract"
fallback_modes = ["distill"]
default_model = "qwen2.5"
matrix_corpus = "kb_team_runs_v1"
[[task_class]]
name = "doc_drift_check"
preferred_mode = "drift"
fallback_modes = ["validator"]
default_model = "gpt-oss:120b"
matrix_corpus = "distilled_factual_v20260423095819"
[[task_class]]
name = "pr_audit"
# Auditor's claim-vs-diff verification mode (2026-04-26 rebuild).
# Replaces the auditor's hand-rolled inference check with the mode-runner
# composer: pathway memory (PR-level patterns) + lakehouse_answers_v1
# corpus (prior accepted reviews + observer escalations) + adversarial
# JSON-shaped framing. Default model is paid Ollama Cloud kimi-k2:1t for
# strong claim-grounding; tie-breaker via auditor-side env override.
preferred_mode = "pr_audit"
fallback_modes = ["consensus", "ladder"]
# kimi-k2:1t broken upstream 2026-04-27 (Ollama Cloud 500 ISE, multi-hour
# sustained outage verified by repeated probes). deepseek-v3.1:671b is
# the drop-in substitute — proven working end-to-end through pr_audit
# during Phase 5 distillation acceptance testing.
default_model = "deepseek-v3.1:671b"
matrix_corpus = "lakehouse_answers_v1"
# Fallback when task_class isn't in the table — useful for ad-hoc calls
# during development that don't yet have a mapped mode.
[default]
preferred_mode = "pipeline"
fallback_modes = ["consensus", "ladder"]
default_model = "qwen3.5:latest"
-62
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@@ -1,62 +0,0 @@
# Phase 39: Provider Registry
#
# Per-provider base_url, auth scheme, and default model. The gateway's
# /v1/chat dispatcher reads this file at boot to populate its provider
# table. Secrets (API keys) come from /etc/lakehouse/secrets.toml or
# environment variables — NEVER inline a key here.
#
# Adding a new provider:
# 1. New [[provider]] block with name, base_url, auth, default_model
# 2. Matching adapter at crates/aibridge/src/providers/<name>.rs
# implementing the ProviderAdapter trait (chat + embed + unload)
# 3. Route arm in crates/gateway/src/v1/mod.rs matching on `name`
# 4. Model-prefix routing hint in resolve_provider() if the provider
# uses an "<name>/..." model prefix (e.g. "openrouter/...")
[[provider]]
name = "ollama"
base_url = "http://localhost:3200"
auth = "none"
default_model = "qwen3.5:latest"
# Hot-path local inference. No bearer needed — Python sidecar on
# localhost handles the Ollama API. Model names are bare
# (e.g. "qwen3.5:latest", not "ollama/qwen3.5:latest").
[[provider]]
name = "ollama_cloud"
base_url = "https://ollama.com"
auth = "bearer"
auth_env = "OLLAMA_CLOUD_KEY"
default_model = "gpt-oss:120b"
# Cloud-tier Ollama. Key resolved from OLLAMA_CLOUD_KEY env at gateway
# boot. Model-prefix routing: "cloud/<model>" auto-routes here
# (see gateway::v1::resolve_provider).
[[provider]]
name = "openrouter"
base_url = "https://openrouter.ai/api/v1"
auth = "bearer"
auth_env = "OPENROUTER_API_KEY"
auth_fallback_files = ["/home/profit/.env", "/root/llm_team_config.json"]
default_model = "openai/gpt-oss-120b:free"
# Multi-provider gateway. Covers Anthropic, Google, OpenAI, MiniMax,
# Qwen, Gemma, etc. Key resolved via crates/gateway/src/v1/openrouter.rs
# resolve_openrouter_key() — env first, then fallback files.
# Model-prefix routing: "openrouter/<vendor>/<model>" auto-routes here,
# prefix stripped before upstream call.
# Planned (Phase 40 long-horizon — adapters not yet shipped):
#
# [[provider]]
# name = "gemini"
# base_url = "https://generativelanguage.googleapis.com/v1beta"
# auth = "api_key_query"
# auth_env = "GEMINI_API_KEY"
# default_model = "gemini-2.0-flash"
#
# [[provider]]
# name = "claude"
# base_url = "https://api.anthropic.com/v1"
# auth = "x_api_key"
# auth_env = "ANTHROPIC_API_KEY"
# default_model = "claude-3-5-sonnet-latest"
-61
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@@ -1,61 +0,0 @@
# Phase 40: Routing Engine Configuration
#
# Human-editable rules for model → provider routing.
# Matching order: first match wins.
[[rule]]
model_pattern = "gpt-4*"
provider = "openrouter"
max_tokens = 4096
temperature = 0.7
[[rule]]
model_pattern = "claude*"
provider = "claude"
max_tokens = 4096
temperature = 0.7
[[rule]]
model_pattern = "gemini*"
provider = "gemini"
max_tokens = 8192
temperature = 0.9
[[rule]]
model_pattern = "qwen3.5*"
provider = "ollama"
max_tokens = 4096
temperature = 0.3
[[rule]]
model_pattern = "qwen3*"
provider = "ollama"
max_tokens = 2048
temperature = 0.3
[[rule]]
model_pattern = "gpt-oss*"
provider = "ollama"
temperature = 0.1
[[rule]]
model_pattern = "*"
provider = "ollama"
temperature = 0.5
# Fallback chain: if primary fails, try these in order
fallback = ["ollama", "openrouter"]
# Cost gating (tokens = cents per 1M)
[cost]
ollama = 0
openrouter = 15
claude = 15
gemini = 0
# Daily budget per provider (cents)
[daily_budget]
ollama = 0
openrouter = 1000
claude = 500
gemini = 0
-1
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@@ -11,4 +11,3 @@ serde = { workspace = true }
serde_json = { workspace = true } serde_json = { workspace = true }
tracing = { workspace = true } tracing = { workspace = true }
reqwest = { version = "0.12", default-features = false, features = ["json", "rustls-tls"] } reqwest = { version = "0.12", default-features = false, features = ["json", "rustls-tls"] }
async-trait = "0.1"
+16 -10
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@@ -13,9 +13,11 @@
use std::collections::HashMap; use std::collections::HashMap;
use std::sync::OnceLock; use std::sync::OnceLock;
// `estimate_tokens` moved to `shared::model_matrix::ModelMatrix::estimate_tokens` /// Rough token count. `chars / 4` ceiling. See module docs for why
// (cdc24d8). All callers migrated; the deprecated wrapper that stood in its /// this heuristic is sufficient.
// place has been removed since it had zero external consumers. pub fn estimate_tokens(text: &str) -> usize {
(text.chars().count() + 3) / 4
}
/// Phase 21 — per-model context windows, mirroring the TS table in /// Phase 21 — per-model context windows, mirroring the TS table in
/// `tests/multi-agent/agent.ts`. Anchored on each model's documented /// `tests/multi-agent/agent.ts`. Anchored on each model's documented
@@ -82,8 +84,8 @@ pub fn assert_context_budget(
let window = context_window_for(model); let window = context_window_for(model);
let safety = opts.safety_margin.unwrap_or(DEFAULT_SAFETY_MARGIN); let safety = opts.safety_margin.unwrap_or(DEFAULT_SAFETY_MARGIN);
let max_tokens = opts.max_tokens.unwrap_or(DEFAULT_MAX_TOKENS); let max_tokens = opts.max_tokens.unwrap_or(DEFAULT_MAX_TOKENS);
let sys_tokens = opts.system.map(shared::model_matrix::ModelMatrix::estimate_tokens).unwrap_or(0); let sys_tokens = opts.system.map(estimate_tokens).unwrap_or(0);
let estimated = shared::model_matrix::ModelMatrix::estimate_tokens(prompt) + sys_tokens + max_tokens; let estimated = estimate_tokens(prompt) + sys_tokens + max_tokens;
let remaining = window as i64 - estimated as i64 - safety as i64; let remaining = window as i64 - estimated as i64 - safety as i64;
let check = BudgetCheck { estimated, window, remaining }; let check = BudgetCheck { estimated, window, remaining };
if remaining < 0 && !opts.bypass { if remaining < 0 && !opts.bypass {
@@ -107,10 +109,14 @@ pub fn overflow_message(model: &str, check: &BudgetCheck, over_by: usize, safety
mod tests { mod tests {
use super::*; use super::*;
// Deprecated-function behavior is now canonically tested in #[test]
// crates/shared/src/model_matrix.rs. This test was the legacy fn estimate_tokens_ceiling_divides_by_four() {
// pin that preceded the migration; delete when the deprecated assert_eq!(estimate_tokens(""), 0);
// wrapper itself goes (see the #[deprecated] attribute). assert_eq!(estimate_tokens("abc"), 1); // 3 → ceil(3/4) = 1
assert_eq!(estimate_tokens("abcd"), 1); // 4 → ceil(4/4) = 1
assert_eq!(estimate_tokens("abcde"), 2); // 5 → ceil(5/4) = 2
assert_eq!(estimate_tokens(&"x".repeat(400)), 100);
}
#[test] #[test]
fn context_window_known_and_fallback() { fn context_window_known_and_fallback() {
@@ -173,7 +179,7 @@ mod tests {
).unwrap(); ).unwrap();
assert!(with_sys.estimated > without_sys.estimated, assert!(with_sys.estimated > without_sys.estimated,
"system prompt should raise estimate"); "system prompt should raise estimate");
assert_eq!(with_sys.estimated - without_sys.estimated, shared::model_matrix::ModelMatrix::estimate_tokens(&sys)); assert_eq!(with_sys.estimated - without_sys.estimated, estimate_tokens(&sys));
} }
#[test] #[test]
+5 -28
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@@ -138,17 +138,6 @@ pub struct ContinuableOutcome {
pub empty_retries: usize, pub empty_retries: usize,
pub continuations: usize, pub continuations: usize,
pub final_complete: bool, pub final_complete: bool,
/// Sum of `prompt_tokens` across every generator call made to
/// produce this outcome — including empty retries and continuations.
/// Lets callers (gateway execution loop, observability) stamp
/// accurate per-task usage without second-guessing the retry fan-out.
pub prompt_tokens: u32,
/// Sum of `completion_tokens` across every generator call.
pub completion_tokens: u32,
/// Total number of generator calls. `1 + empty_retries +
/// continuations` in the normal case; the field is explicit so
/// callers don't have to re-derive it.
pub calls: u32,
} }
fn make_request(opts: &ContinuableOpts, prompt: String, current_max: u32) -> GenerateRequest { fn make_request(opts: &ContinuableOpts, prompt: String, current_max: u32) -> GenerateRequest {
@@ -186,17 +175,11 @@ pub async fn generate_continuable<G: TextGenerator>(
let mut combined = String::new(); let mut combined = String::new();
let mut empty_retries = 0usize; let mut empty_retries = 0usize;
let mut continuations = 0usize; let mut continuations = 0usize;
let mut prompt_tokens: u32 = 0;
let mut completion_tokens: u32 = 0;
let mut calls: u32 = 0;
// Phase 21(a) — empty-response backoff loop. // Phase 21(a) — empty-response backoff loop.
for retry in 0..opts.max_empty_retries { for retry in 0..opts.max_empty_retries {
let req = make_request(opts, prompt.to_string(), current_max); let req = make_request(opts, prompt.to_string(), current_max);
let resp = generator.generate_text(req).await?; let resp = generator.generate_text(req).await?;
calls += 1;
prompt_tokens = prompt_tokens.saturating_add(resp.tokens_evaluated.unwrap_or(0) as u32);
completion_tokens = completion_tokens.saturating_add(resp.tokens_generated.unwrap_or(0) as u32);
if !resp.text.trim().is_empty() { if !resp.text.trim().is_empty() {
combined = resp.text; combined = resp.text;
break; break;
@@ -205,7 +188,9 @@ pub async fn generate_continuable<G: TextGenerator>(
current_max = (current_max.saturating_mul(2)).min(opts.budget_cap); current_max = (current_max.saturating_mul(2)).min(opts.budget_cap);
} }
// Phase 21(b) — structural-completion continuation loop. // Phase 21(b) — structural-completion continuation loop. Runs on
// the truncated-non-empty case; empty + exhausted retries falls
// through with empty combined and final_complete=false.
for _ in 0..opts.max_continuations { for _ in 0..opts.max_continuations {
if is_structurally_complete(&combined, opts.shape) { if is_structurally_complete(&combined, opts.shape) {
return Ok(ContinuableOutcome { return Ok(ContinuableOutcome {
@@ -213,22 +198,17 @@ pub async fn generate_continuable<G: TextGenerator>(
empty_retries, empty_retries,
continuations, continuations,
final_complete: true, final_complete: true,
prompt_tokens,
completion_tokens,
calls,
}); });
} }
if combined.trim().is_empty() { if combined.trim().is_empty() {
// Nothing to continue from — continuing "" is identical to // Nothing to continue from — continuing "" is identical to
// the initial call and would loop. // the initial call and would loop. Bail so the caller sees
// the failure rather than burning N extra calls.
break; break;
} }
let cont_prompt = continuation_prompt(prompt, &combined); let cont_prompt = continuation_prompt(prompt, &combined);
let req = make_request(opts, cont_prompt, current_max.min(opts.budget_cap)); let req = make_request(opts, cont_prompt, current_max.min(opts.budget_cap));
let resp = generator.generate_text(req).await?; let resp = generator.generate_text(req).await?;
calls += 1;
prompt_tokens = prompt_tokens.saturating_add(resp.tokens_evaluated.unwrap_or(0) as u32);
completion_tokens = completion_tokens.saturating_add(resp.tokens_generated.unwrap_or(0) as u32);
combined.push_str(&resp.text); combined.push_str(&resp.text);
continuations += 1; continuations += 1;
} }
@@ -239,9 +219,6 @@ pub async fn generate_continuable<G: TextGenerator>(
empty_retries, empty_retries,
continuations, continuations,
final_complete, final_complete,
prompt_tokens,
completion_tokens,
calls,
}) })
} }
-3
View File
@@ -1,8 +1,5 @@
pub mod client; pub mod client;
pub mod context; pub mod context;
pub mod continuation; pub mod continuation;
pub mod provider;
pub mod providers;
pub mod routing;
pub mod service; pub mod service;
pub mod tree_split; pub mod tree_split;
-39
View File
@@ -1,39 +0,0 @@
use async_trait::async_trait;
use crate::client::{GenerateRequest, GenerateResponse, EmbedRequest, EmbedResponse};
#[async_trait]
pub trait ProviderAdapter: Send + Sync {
/// Name for routing (ollama, openrouter, etc.)
fn name(&self) -> &str;
/// Chat completion — returns text, model, token counts
async fn chat(&self, req: GenerateRequest) -> Result<GenerateResponse, String>;
/// Embeddings — returns vectors, model, dimensions
async fn embed(&self, req: EmbedRequest) -> Result<EmbedResponse, String>;
/// Unload model from VRAM (optional, no-op if not supported)
async fn unload(&self, _model: &str) -> Result<(), String> {
Ok(())
}
/// Health check
async fn health(&self) -> Result<serde_json::Value, String>;
}
/// Routing key extracted from model name.
/// - "qwen3.5:latest" → "ollama"
/// - "openrouter/anthropic/claude-3.5-sonnet" → "openrouter"
/// - "gpt-4o" → "ollama" (default)
pub fn provider_key(model: &str) -> &'static str {
let lower = model.to_lowercase();
if lower.starts_with("openrouter/") {
"openrouter"
} else if lower.starts_with("gemini") {
"gemini"
} else if lower.starts_with("claude") {
"claude"
} else {
"ollama" // default: local Ollama
}
}
-2
View File
@@ -1,2 +0,0 @@
pub mod ollama;
pub mod openrouter;
-37
View File
@@ -1,37 +0,0 @@
use async_trait::async_trait;
use crate::client::{AiClient, GenerateRequest, GenerateResponse, EmbedRequest, EmbedResponse};
use crate::provider::ProviderAdapter;
pub struct OllamaAdapter {
client: AiClient,
}
impl OllamaAdapter {
pub fn new(client: AiClient) -> Self {
Self { client }
}
}
#[async_trait]
impl ProviderAdapter for OllamaAdapter {
fn name(&self) -> &str {
"ollama"
}
async fn chat(&self, req: GenerateRequest) -> Result<GenerateResponse, String> {
self.client.generate(req).await
}
async fn embed(&self, req: EmbedRequest) -> Result<EmbedResponse, String> {
self.client.embed(req).await
}
async fn unload(&self, model: &str) -> Result<(), String> {
let _: serde_json::Value = self.client.unload_model(model).await?;
Ok(())
}
async fn health(&self) -> Result<serde_json::Value, String> {
self.client.health().await
}
}
-152
View File
@@ -1,152 +0,0 @@
use async_trait::async_trait;
use reqwest::Client;
use serde::{Deserialize, Serialize};
use std::time::Duration;
use crate::client::{GenerateRequest, GenerateResponse, EmbedRequest, EmbedResponse};
use crate::provider::ProviderAdapter;
pub struct OpenRouterAdapter {
client: Client,
base_url: String,
api_key: String,
default_model: String,
}
#[derive(Serialize)]
struct OpenRouterChatRequest {
model: String,
messages: Vec<OpenRouterMessage>,
temperature: Option<f64>,
max_tokens: Option<u32>,
}
#[derive(Serialize)]
struct OpenRouterMessage {
role: String,
content: String,
}
#[derive(Deserialize)]
struct OpenRouterChatResponse {
choices: Vec<OpenRouterChoice>,
usage: OpenRouterUsage,
model: String,
}
#[derive(Deserialize)]
struct OpenRouterChoice {
message: OpenRouterMessageOut,
}
#[derive(Deserialize)]
#[allow(dead_code)]
struct OpenRouterMessageOut {
role: String,
content: String,
}
#[derive(Deserialize)]
#[allow(dead_code)]
struct OpenRouterUsage {
prompt_tokens: Option<u32>,
completion_tokens: Option<u32>,
total_tokens: Option<u32>,
}
impl OpenRouterAdapter {
pub fn new(base_url: &str, api_key: String, default_model: &str) -> Self {
let client = Client::builder()
.timeout(Duration::from_secs(180))
.build()
.expect("failed to build HTTP client");
Self {
client,
base_url: base_url.trim_end_matches('/').to_string(),
api_key,
default_model: default_model.to_string(),
}
}
fn chat_model(&self, model: &str) -> String {
// Strip "openrouter/" prefix if present
let m = model.trim_start_matches("openrouter/");
if m.is_empty() || m == model {
self.default_model.clone()
} else {
m.to_string()
}
}
fn to_openrouter_messages(req: &GenerateRequest) -> Vec<OpenRouterMessage> {
let mut out = vec![];
if let Some(sys) = &req.system {
out.push(OpenRouterMessage { role: "system".into(), content: sys.clone() });
}
out.push(OpenRouterMessage {
role: "user".into(),
content: req.prompt.clone(),
});
out
}
}
#[async_trait]
impl ProviderAdapter for OpenRouterAdapter {
fn name(&self) -> &str {
"openrouter"
}
async fn chat(&self, req: GenerateRequest) -> Result<GenerateResponse, String> {
let model = self.chat_model(req.model.as_deref().unwrap_or(""));
let or_req = OpenRouterChatRequest {
model: model.clone(),
messages: OpenRouterAdapter::to_openrouter_messages(&req),
temperature: req.temperature,
max_tokens: req.max_tokens,
};
let resp = self.client
.post(format!("{}/chat/completions", self.base_url))
.header("Authorization", format!("Bearer {}", self.api_key))
.header("Content-Type", "application/json")
.json(&or_req)
.send()
.await
.map_err(|e| format!("openrouter request failed: {e}"))?;
let status = resp.status();
let body = resp.text().await.unwrap_or_default();
if !status.is_success() {
return Err(format!("openrouter error ({}): {}", status, body));
}
let or_resp: OpenRouterChatResponse = serde_json::from_str(&body)
.map_err(|e| format!("openrouter parse error: {e}"))?;
let choice = or_resp.choices.into_iter().next()
.ok_or("no completion choice returned")?;
let usage = or_resp.usage;
Ok(GenerateResponse {
text: choice.message.content,
model: or_resp.model,
tokens_evaluated: usage.prompt_tokens.map(|n| n as u64),
tokens_generated: usage.completion_tokens.map(|n| n as u64),
})
}
async fn embed(&self, _req: EmbedRequest) -> Result<EmbedResponse, String> {
Err("openrouter: embed not implemented".into())
}
async fn health(&self) -> Result<serde_json::Value, String> {
// OpenRouter doesn't have a dedicated health endpoint,
// so we just return a healthy response if the client works.
Ok(serde_json::json!({
"status": "ok",
"provider": "openrouter",
}))
}
}
-119
View File
@@ -1,119 +0,0 @@
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug, Deserialize, Serialize)]
pub struct RoutingRule {
pub model_pattern: String,
pub provider: String,
pub max_tokens: Option<u32>,
pub temperature: Option<f64>,
}
#[derive(Clone, Default)]
pub struct RoutingEngine {
rules: Vec<RoutingRule>,
fallback_chain: Vec<String>,
}
impl RoutingEngine {
pub fn new() -> Self {
Self::default()
}
pub fn with_rules(mut self, rules: Vec<RoutingRule>) -> Self {
self.rules = rules;
self
}
pub fn with_fallback(mut self, chain: Vec<String>) -> Self {
self.fallback_chain = chain;
self
}
pub fn route(&self, model: &str) -> RouteDecision {
let lower = model.to_lowercase();
for rule in &self.rules {
if glob_match(&rule.model_pattern.to_lowercase(), &lower) {
return RouteDecision {
provider: rule.provider.clone(),
model: model.to_string(),
max_tokens: rule.max_tokens,
temperature: rule.temperature,
};
}
}
if let Some(first) = self.fallback_chain.first() {
RouteDecision {
provider: first.clone(),
model: model.to_string(),
max_tokens: None,
temperature: None,
}
} else {
RouteDecision {
provider: "ollama".to_string(),
model: model.to_string(),
max_tokens: None,
temperature: None,
}
}
}
}
#[derive(Clone, Debug)]
pub struct RouteDecision {
pub provider: String,
pub model: String,
pub max_tokens: Option<u32>,
pub temperature: Option<f64>,
}
fn glob_match(pattern: &str, name: &str) -> bool {
if !pattern.contains('*') { return pattern == name; }
let parts: Vec<&str> = pattern.split('*').collect();
// Multi-* support: first must be prefix, last must be suffix, each
// interior piece must appear in order. Fixes the iter-9 finding
// where gpt-*-large* silently fell through to an exact-match path.
// Also removes the dead `parts.len() == 1` branch that accessed
// parts[1] and would panic if ever reached (unreachable today
// since split('*') on a string containing '*' always yields ≥2).
if !name.starts_with(parts[0]) || !name.ends_with(parts.last().unwrap()) { return false; }
let mut cursor = parts[0].len();
parts[1..parts.len() - 1].iter().all(|mid| {
name[cursor..].find(mid).map(|pos| { cursor += pos + mid.len(); true }).unwrap_or(false)
})
}
impl Default for RoutingRule {
fn default() -> Self {
Self {
model_pattern: "*".to_string(),
provider: "ollama".to_string(),
max_tokens: None,
temperature: None,
}
}
}
#[cfg(test)]
mod glob_match_tests {
use super::glob_match;
#[test] fn exact_match() { assert!(glob_match("gpt-oss:120b", "gpt-oss:120b")); }
#[test] fn exact_mismatch() { assert!(!glob_match("a", "b")); }
#[test] fn leading_wildcard() { assert!(glob_match("*:120b", "gpt-oss:120b")); }
#[test] fn trailing_wildcard() { assert!(glob_match("gpt-oss:*", "gpt-oss:120b")); }
#[test] fn bare_wildcard() { assert!(glob_match("*", "anything")); }
#[test] fn multi_wildcard_in_order() { assert!(glob_match("gpt-*-oss-*", "gpt-4-oss-120b")); }
#[test] fn multi_wildcard_wrong_order() { assert!(!glob_match("b*a*", "abba")); }
#[test] fn multi_wildcard_panic_safety() {
// Regression: earlier impl had an unreachable `parts.len() == 1`
// branch that indexed parts[1] — would panic if ever hit. Now
// the split('*') invariant guarantees ≥2 parts when * present,
// and we handle all N-part cases explicitly.
assert!(glob_match("a*b*c", "abc"));
assert!(glob_match("a*b*c", "axxxbxxxc"));
assert!(!glob_match("a*b*c", "xxxbxxx"));
}
}
+4 -5
View File
@@ -19,9 +19,8 @@
//! we bubble the error up rather than silently truncating. That's the //! we bubble the error up rather than silently truncating. That's the
//! whole point of Phase 21. //! whole point of Phase 21.
use crate::context::{assert_context_budget, BudgetOpts, overflow_message, use crate::context::{assert_context_budget, BudgetOpts, estimate_tokens, overflow_message,
DEFAULT_MAX_TOKENS, DEFAULT_SAFETY_MARGIN}; DEFAULT_MAX_TOKENS, DEFAULT_SAFETY_MARGIN};
use shared::model_matrix::ModelMatrix;
use crate::continuation::{generate_continuable, ContinuableOpts, ResponseShape, TextGenerator}; use crate::continuation::{generate_continuable, ContinuableOpts, ResponseShape, TextGenerator};
/// Callback signatures — caller supplies closures that stitch the /// Callback signatures — caller supplies closures that stitch the
@@ -81,12 +80,12 @@ pub struct TreeSplitResult {
/// by `\n— shard N/M digest —\n` so we can find the first one and /// by `\n— shard N/M digest —\n` so we can find the first one and
/// chop everything before its successor. /// chop everything before its successor.
fn truncate_scratchpad(scratchpad: &mut String, budget_tokens: usize) -> bool { fn truncate_scratchpad(scratchpad: &mut String, budget_tokens: usize) -> bool {
if ModelMatrix::estimate_tokens(scratchpad) <= budget_tokens { return false; } if estimate_tokens(scratchpad) <= budget_tokens { return false; }
// Find the second delimiter — everything before it gets dropped. // Find the second delimiter — everything before it gets dropped.
const DELIM_PREFIX: &str = "\n— shard "; const DELIM_PREFIX: &str = "\n— shard ";
let mut cursor = 0; let mut cursor = 0;
let mut truncated = false; let mut truncated = false;
while ModelMatrix::estimate_tokens(&scratchpad[cursor..]) > budget_tokens { while estimate_tokens(&scratchpad[cursor..]) > budget_tokens {
// Skip past a leading delimiter (if we're sitting on one from // Skip past a leading delimiter (if we're sitting on one from
// a previous iteration), then find the next. // a previous iteration), then find the next.
let search_from = cursor + if scratchpad[cursor..].starts_with(DELIM_PREFIX) { let search_from = cursor + if scratchpad[cursor..].starts_with(DELIM_PREFIX) {
@@ -279,7 +278,7 @@ mod tests {
// Scratchpad should still fit roughly within the budget // Scratchpad should still fit roughly within the budget
// (post-truncation); the estimator uses chars/4 so the bound // (post-truncation); the estimator uses chars/4 so the bound
// is ~budget*4 chars. Give some slack for the delimiter. // is ~budget*4 chars. Give some slack for the delimiter.
let scratchpad_tokens = ModelMatrix::estimate_tokens(&result.scratchpad); let scratchpad_tokens = estimate_tokens(&result.scratchpad);
assert!(scratchpad_tokens <= opts.scratchpad_budget * 2, assert!(scratchpad_tokens <= opts.scratchpad_budget * 2,
"scratchpad {} tokens vs budget {}", scratchpad_tokens, opts.scratchpad_budget); "scratchpad {} tokens vs budget {}", scratchpad_tokens, opts.scratchpad_budget);
} }
-26
View File
@@ -31,10 +31,6 @@ pub fn router(registry: Registry) -> Router {
// Phase 17: model profiles // Phase 17: model profiles
.route("/profiles", post(create_profile).get(list_profiles)) .route("/profiles", post(create_profile).get(list_profiles))
.route("/profiles/{id}", get(get_profile).delete(delete_profile)) .route("/profiles/{id}", get(get_profile).delete(delete_profile))
// Phase 41: profile-type routes
.route("/profiles/retrieval", get(list_retrieval_profiles))
.route("/profiles/memory", get(list_memory_profiles))
.route("/profiles/observer", get(list_observer_profiles))
.with_state(registry) .with_state(registry)
} }
@@ -402,9 +398,6 @@ struct CreateProfileRequest {
/// indexes to. Defaults to Parquet+HNSW. /// indexes to. Defaults to Parquet+HNSW.
#[serde(default)] #[serde(default)]
vector_backend: shared::types::VectorBackend, vector_backend: shared::types::VectorBackend,
/// Phase 41: Profile type for routing + activation behavior.
#[serde(default)]
profile_type: shared::types::ProfileType,
} }
fn default_embed_model_req() -> String { "nomic-embed-text".to_string() } fn default_embed_model_req() -> String { "nomic-embed-text".to_string() }
@@ -424,7 +417,6 @@ async fn create_profile(
created_by: req.created_by, created_by: req.created_by,
bucket: req.bucket, bucket: req.bucket,
vector_backend: req.vector_backend, vector_backend: req.vector_backend,
profile_type: req.profile_type,
}; };
match registry.put_profile(profile).await { match registry.put_profile(profile).await {
Ok(p) => Ok((StatusCode::CREATED, Json(p))), Ok(p) => Ok((StatusCode::CREATED, Json(p))),
@@ -436,24 +428,6 @@ async fn list_profiles(State(registry): State<Registry>) -> impl IntoResponse {
Json(registry.list_profiles().await) Json(registry.list_profiles().await)
} }
async fn list_retrieval_profiles(State(registry): State<Registry>) -> impl IntoResponse {
let all = registry.list_profiles().await;
let retrieval: Vec<_> = all.into_iter().filter(|p| p.profile_type == shared::types::ProfileType::Retrieval).collect();
Json(retrieval)
}
async fn list_memory_profiles(State(registry): State<Registry>) -> impl IntoResponse {
let all = registry.list_profiles().await;
let memory: Vec<_> = all.into_iter().filter(|p| p.profile_type == shared::types::ProfileType::Memory).collect();
Json(memory)
}
async fn list_observer_profiles(State(registry): State<Registry>) -> impl IntoResponse {
let all = registry.list_profiles().await;
let observer: Vec<_> = all.into_iter().filter(|p| p.profile_type == shared::types::ProfileType::Observer).collect();
Json(observer)
}
async fn get_profile( async fn get_profile(
State(registry): State<Registry>, State(registry): State<Registry>,
Path(id): Path<String>, Path(id): Path<String>,
-2
View File
@@ -12,7 +12,6 @@ aibridge = { path = "../aibridge" }
ingestd = { path = "../ingestd" } ingestd = { path = "../ingestd" }
vectord = { path = "../vectord" } vectord = { path = "../vectord" }
journald = { path = "../journald" } journald = { path = "../journald" }
truth = { path = "../truth" }
tokio = { workspace = true } tokio = { workspace = true }
axum = { workspace = true } axum = { workspace = true }
serde = { workspace = true } serde = { workspace = true }
@@ -30,4 +29,3 @@ tracing-opentelemetry = { workspace = true }
arrow = { workspace = true } arrow = { workspace = true }
chrono = { workspace = true } chrono = { workspace = true }
reqwest = { version = "0.12", default-features = false, features = ["json", "rustls-tls"] } reqwest = { version = "0.12", default-features = false, features = ["json", "rustls-tls"] }
toml = { workspace = true }
+1 -6
View File
@@ -93,7 +93,7 @@ impl AccessControl {
self.roles.write().await.insert(role.agent_name.clone(), role); self.roles.write().await.insert(role.agent_name.clone(), role);
} }
/// Get an agent's role. Called by `GET /access/roles/{agent}`. /// Get an agent's role.
pub async fn get_role(&self, agent: &str) -> Option<AgentRole> { pub async fn get_role(&self, agent: &str) -> Option<AgentRole> {
self.roles.read().await.get(agent).cloned() self.roles.read().await.get(agent).cloned()
} }
@@ -113,7 +113,6 @@ impl AccessControl {
} }
/// Determine which fields should be masked for an agent. /// Determine which fields should be masked for an agent.
#[allow(dead_code)]
pub async fn masked_fields( pub async fn masked_fields(
&self, &self,
agent: &str, agent: &str,
@@ -139,7 +138,6 @@ impl AccessControl {
} }
/// Log a query for audit. /// Log a query for audit.
#[allow(dead_code)]
pub async fn log_query(&self, audit: QueryAudit) { pub async fn log_query(&self, audit: QueryAudit) {
self.audit_log.write().await.push(audit); self.audit_log.write().await.push(audit);
} }
@@ -151,9 +149,6 @@ impl AccessControl {
log[start..].iter().rev().cloned().collect() log[start..].iter().rev().cloned().collect()
} }
/// Reports whether access-control enforcement is active.
/// Called by `GET /access/enabled` — ops tooling / dashboards poll
/// this to confirm the auth posture of the running gateway.
pub fn is_enabled(&self) -> bool { pub fn is_enabled(&self) -> bool {
self.enabled self.enabled
} }
+1 -21
View File
@@ -1,6 +1,6 @@
use axum::{ use axum::{
Json, Router, Json, Router,
extract::{Path, Query, State}, extract::{Query, State},
http::StatusCode, http::StatusCode,
response::IntoResponse, response::IntoResponse,
routing::{get, post}, routing::{get, post},
@@ -13,12 +13,6 @@ pub fn router(ac: AccessControl) -> Router {
Router::new() Router::new()
.route("/roles", get(list_roles)) .route("/roles", get(list_roles))
.route("/roles", post(set_role)) .route("/roles", post(set_role))
// Scrum iter 11 / P13-001 finding: get_role was #[allow(dead_code)]
// because nothing called it — dead until exposed. Route activates it.
// Returns 404 when the agent isn't registered so clients can
// distinguish "missing role" from "access denied."
.route("/roles/{agent}", get(get_role))
.route("/enabled", get(enabled_status))
.route("/audit", get(query_audit)) .route("/audit", get(query_audit))
.route("/check", post(check_access)) .route("/check", post(check_access))
.with_state(ac) .with_state(ac)
@@ -66,17 +60,3 @@ async fn check_access(
"allowed": allowed, "allowed": allowed,
})) }))
} }
async fn get_role(
State(ac): State<AccessControl>,
Path(agent): Path<String>,
) -> impl IntoResponse {
match ac.get_role(&agent).await {
Some(role) => Ok(Json(role)),
None => Err((StatusCode::NOT_FOUND, format!("no role registered for agent '{agent}'"))),
}
}
async fn enabled_status(State(ac): State<AccessControl>) -> impl IntoResponse {
Json(serde_json::json!({ "enabled": ac.is_enabled() }))
}
+15 -36
View File
@@ -5,51 +5,30 @@ use axum::{
response::Response, response::Response,
}; };
// API key auth middleware. Checks X-API-Key header against configured key. /// API key auth middleware. Checks X-API-Key header against configured key.
// Fixed P5-001 (2026-04-23): previously #[allow(dead_code)] — the function
// existed but was never layered onto the router, so [auth] enabled=true
// silently enforced nothing. Now wired via from_fn_with_state in main.rs.
pub async fn api_key_auth( pub async fn api_key_auth(
axum::extract::State(expected): axum::extract::State<ApiKey>,
request: Request, request: Request,
next: Next, next: Next,
) -> Result<Response, StatusCode> { ) -> Result<Response, StatusCode> {
// /health stays public (LB/systemd probes). Every other route is gated. // Get the expected key from the request extensions (set by the layer)
if request.uri().path() == "/health" { let expected_key = request.extensions().get::<ApiKey>().cloned();
return Ok(next.run(request).await);
}
let provided = request if let Some(expected) = expected_key {
.headers() let provided = request
.get("x-api-key") .headers()
.and_then(|v| v.to_str().ok()); .get("x-api-key")
.and_then(|v| v.to_str().ok());
// Constant-time-ish eq on the raw bytes; good enough for a shared-secret match provided {
// X-API-Key. Timing-attack resistance here matters less than the Some(key) if key == expected.0 => {}
// equivalent HMAC check would; adopt subtle crate if key-space grows. _ => {
match provided { tracing::warn!("unauthorized request: missing or invalid API key");
Some(key) if eq_ct(key.as_bytes(), expected.0.as_bytes()) => { return Err(StatusCode::UNAUTHORIZED);
Ok(next.run(request).await) }
}
_ => {
tracing::warn!(
path = %request.uri().path(),
"unauthorized request: missing or invalid API key",
);
Err(StatusCode::UNAUTHORIZED)
} }
} }
}
fn eq_ct(a: &[u8], b: &[u8]) -> bool { Ok(next.run(request).await)
if a.len() != b.len() {
return false;
}
let mut diff: u8 = 0;
for (x, y) in a.iter().zip(b.iter()) {
diff |= x ^ y;
}
diff == 0
} }
/// Wrapper type for the API key, stored in request extensions. /// Wrapper type for the API key, stored in request extensions.
@@ -1,388 +0,0 @@
//! KB context loader — reads recent signal from `data/_kb/*.jsonl` for
//! a given sig_hash + task_class and returns a compact summary.
//!
//! This is the "pipe to the overviewer" from the 2026-04-23 session:
//! the overseer tier (T3, gpt-oss:120b) consumes this context before
//! generating a correction, so its suggestions are informed by
//! historical cost / latency / outcome / prior-correction patterns
//! across ALL profiles that have run this task class — not just the
//! single current loop.
//!
//! Hot-swap profiles read the SAME pool. When a profile activates and
//! starts iterating, its KB context is the shared surface — one
//! profile's learning becomes every profile's starting point.
//!
//! Best-effort throughout: missing files, corrupt rows, empty
//! directories all produce an empty KbContext. The overseer works
//! fine with no history; we just can't seed it then.
use serde::Serialize;
use std::path::Path;
use tokio::io::AsyncBufReadExt;
/// Compact summary returned to the overseer. Bounded size — recent
/// outcomes + corrections plus rolled-up rates. Goal is to fit in a
/// prompt without eating the overseer's context budget.
#[derive(Debug, Clone, Default, Serialize)]
pub struct KbContext {
pub sig_hash: String,
pub task_class: String,
pub recent_outcomes: Vec<OutcomeSummary>,
pub recent_corrections: Vec<CorrectionSummary>,
pub success_rate: Option<f64>,
pub avg_turns: Option<f64>,
pub avg_latency_ms: Option<u64>,
pub total_observed: u32,
}
#[derive(Debug, Clone, Serialize)]
pub struct OutcomeSummary {
pub created_at: String,
pub ok: bool,
pub polarity: String,
pub turns: u32,
pub latency_ms: u64,
pub total_tokens: u64,
pub error: Option<String>,
}
#[derive(Debug, Clone, Serialize)]
pub struct CorrectionSummary {
pub created_at: String,
pub reason: String,
pub correction_preview: String, // first 300 chars
pub applied_at_turn: u32,
}
const OUTCOMES_PATH: &str = "data/_kb/outcomes.jsonl";
const CORRECTIONS_PATH: &str = "data/_kb/overseer_corrections.jsonl";
const RECENT_OUTCOME_LIMIT: usize = 5;
const RECENT_CORRECTION_LIMIT: usize = 3;
const AGGREGATE_WINDOW: usize = 50;
impl KbContext {
/// Build context from the default KB paths.
pub async fn load_for(sig_hash: &str, task_class: &str) -> Self {
Self::load_from(
sig_hash, task_class,
Path::new(OUTCOMES_PATH), Path::new(CORRECTIONS_PATH),
).await
}
/// Path-taking variant — tests inject tmp files without touching
/// the real KB directory (same pattern as append_outcomes_row_at).
pub async fn load_from(
sig_hash: &str,
task_class: &str,
outcomes_path: &Path,
corrections_path: &Path,
) -> Self {
let mut ctx = KbContext {
sig_hash: sig_hash.to_string(),
task_class: task_class.to_string(),
..Default::default()
};
// Scan outcomes — matches on sig_hash primary, task_class
// secondary (so different geos for the same task_class still
// contribute to aggregate rates even though they won't make
// the top-5 recent). The bounded window keeps scan cost
// linear in file size — we're reading tail only.
let outcome_rows = tail_matching(
outcomes_path, AGGREGATE_WINDOW * 4,
|row| {
let row_sig = row.get("sig_hash").and_then(|v| v.as_str()).unwrap_or("");
let row_tc = row.get("task_class").and_then(|v| v.as_str()).unwrap_or("");
row_sig == sig_hash || row_tc == task_class
},
).await;
// Recent outcomes: exact sig_hash match first (strongest
// signal), then task_class fallback up to the limit.
let mut exact: Vec<OutcomeSummary> = Vec::new();
let mut loose: Vec<OutcomeSummary> = Vec::new();
for row in &outcome_rows {
let row_sig = row.get("sig_hash").and_then(|v| v.as_str()).unwrap_or("");
let summary = summarize_outcome(row);
if row_sig == sig_hash { exact.push(summary); }
else { loose.push(summary); }
}
ctx.recent_outcomes = exact.into_iter().rev().take(RECENT_OUTCOME_LIMIT).collect();
if ctx.recent_outcomes.len() < RECENT_OUTCOME_LIMIT {
let need = RECENT_OUTCOME_LIMIT - ctx.recent_outcomes.len();
ctx.recent_outcomes.extend(loose.into_iter().rev().take(need));
}
// Aggregate rates across the full matched window (both
// sig_hash and task_class matches — gives a stable rate even
// on sparse sig_hash history).
let window = outcome_rows.iter().rev().take(AGGREGATE_WINDOW);
let mut ok_count = 0u32;
let mut total = 0u32;
let mut turn_sum = 0u32;
let mut latency_sum = 0u64;
for row in window {
total += 1;
if row.get("ok").and_then(|v| v.as_bool()).unwrap_or(false) { ok_count += 1; }
turn_sum += row.get("turns").and_then(|v| v.as_u64()).unwrap_or(0) as u32;
latency_sum += row.get("usage")
.and_then(|u| u.get("latency_ms"))
.and_then(|v| v.as_u64()).unwrap_or(0);
}
if total > 0 {
ctx.total_observed = total;
ctx.success_rate = Some(ok_count as f64 / total as f64);
ctx.avg_turns = Some(turn_sum as f64 / total as f64);
ctx.avg_latency_ms = Some(latency_sum / total as u64);
}
// Overseer corrections. Prefer sig_hash match; fall back to
// task_class. The overseer reading its OWN prior corrections
// is the main point — if the last 3 attempts produced
// corrections X, Y, Z, the new correction should acknowledge
// those patterns rather than suggest X for the fourth time.
let correction_rows = tail_matching(
corrections_path, RECENT_CORRECTION_LIMIT * 4,
|row| {
let row_sig = row.get("sig_hash").and_then(|v| v.as_str()).unwrap_or("");
let row_tc = row.get("task_class").and_then(|v| v.as_str()).unwrap_or("");
row_sig == sig_hash || row_tc == task_class
},
).await;
let mut c_exact: Vec<CorrectionSummary> = Vec::new();
let mut c_loose: Vec<CorrectionSummary> = Vec::new();
for row in &correction_rows {
let row_sig = row.get("sig_hash").and_then(|v| v.as_str()).unwrap_or("");
let summary = summarize_correction(row);
if row_sig == sig_hash { c_exact.push(summary); }
else { c_loose.push(summary); }
}
ctx.recent_corrections = c_exact.into_iter().rev().take(RECENT_CORRECTION_LIMIT).collect();
if ctx.recent_corrections.len() < RECENT_CORRECTION_LIMIT {
let need = RECENT_CORRECTION_LIMIT - ctx.recent_corrections.len();
ctx.recent_corrections.extend(c_loose.into_iter().rev().take(need));
}
ctx
}
/// Compact string form for the overseer prompt. Deterministic
/// ordering + bounded length so prompt caching stays stable
/// across iterations on the same task.
pub fn to_prompt_section(&self) -> String {
let mut s = String::new();
s.push_str("## Knowledge Base Context\n");
if let (Some(rate), Some(turns), Some(lat)) = (self.success_rate, self.avg_turns, self.avg_latency_ms) {
s.push_str(&format!(
"Across {} prior similar runs: success_rate={:.1}%, avg_turns={:.1}, avg_latency_ms={}\n",
self.total_observed, rate * 100.0, turns, lat,
));
} else {
s.push_str("No prior similar runs recorded.\n");
}
if !self.recent_outcomes.is_empty() {
s.push_str(&format!("\nRecent {} outcomes:\n", self.recent_outcomes.len()));
for o in &self.recent_outcomes {
let err = o.error.as_deref().map(|e| format!(" — {}", truncate(e, 80))).unwrap_or_default();
s.push_str(&format!(
" [{}] ok={} turns={} tokens={} lat={}ms{}\n",
&o.created_at[..19.min(o.created_at.len())],
o.ok, o.turns, o.total_tokens, o.latency_ms, err,
));
}
}
if !self.recent_corrections.is_empty() {
s.push_str(&format!("\nRecent {} overseer corrections (yours — don't repeat):\n", self.recent_corrections.len()));
for c in &self.recent_corrections {
s.push_str(&format!(
" [{}] turn={} reason={} correction={}\n",
&c.created_at[..19.min(c.created_at.len())],
c.applied_at_turn,
truncate(&c.reason, 40),
truncate(&c.correction_preview, 200),
));
}
}
s
}
}
fn summarize_outcome(row: &serde_json::Value) -> OutcomeSummary {
OutcomeSummary {
created_at: row.get("created_at").and_then(|v| v.as_str()).unwrap_or("").to_string(),
ok: row.get("ok").and_then(|v| v.as_bool()).unwrap_or(false),
polarity: row.get("polarity").and_then(|v| v.as_str()).unwrap_or("").to_string(),
turns: row.get("turns").and_then(|v| v.as_u64()).unwrap_or(0) as u32,
latency_ms: row.get("usage").and_then(|u| u.get("latency_ms"))
.and_then(|v| v.as_u64()).unwrap_or(0),
total_tokens: row.get("usage").and_then(|u| u.get("total_tokens"))
.and_then(|v| v.as_u64()).unwrap_or(0),
error: row.get("error").and_then(|v| v.as_str()).map(String::from),
}
}
fn summarize_correction(row: &serde_json::Value) -> CorrectionSummary {
let preview = row.get("correction").and_then(|v| v.as_str()).unwrap_or("");
CorrectionSummary {
created_at: row.get("created_at").and_then(|v| v.as_str()).unwrap_or("").to_string(),
reason: row.get("reason").and_then(|v| v.as_str()).unwrap_or("").to_string(),
correction_preview: truncate(preview, 300),
applied_at_turn: row.get("applied_at_turn").and_then(|v| v.as_u64()).unwrap_or(0) as u32,
}
}
fn truncate(s: &str, n: usize) -> String {
if s.len() <= n { s.to_string() } else { format!("{}…", &s[..n]) }
}
/// Read a JSONL file from the tail, returning at most `limit` rows
/// that match `filter`. Missing file returns empty. Corrupt lines are
/// skipped. Limit is honored from the tail — a full-file scan with an
/// in-memory ring would be wasteful for large outcomes histories, but
/// we cap at reading the whole file and filtering post-hoc for now
/// (reverse-seek line iteration is a real engineering task and the
/// file is bounded by ingest rate; revisit when it bites).
async fn tail_matching<F>(
path: &Path,
limit: usize,
filter: F,
) -> Vec<serde_json::Value>
where
F: Fn(&serde_json::Value) -> bool,
{
let Ok(file) = tokio::fs::File::open(path).await else { return Vec::new(); };
let reader = tokio::io::BufReader::new(file);
let mut lines = reader.lines();
let mut matches: Vec<serde_json::Value> = Vec::new();
while let Ok(Some(line)) = lines.next_line().await {
let Ok(v) = serde_json::from_str::<serde_json::Value>(&line) else { continue };
if filter(&v) {
matches.push(v);
if matches.len() > limit {
// Keep the most-recent window only — drop from the
// front as we go rather than buffering everything.
matches.remove(0);
}
}
}
matches
}
#[cfg(test)]
mod tests {
use super::*;
use tokio::io::AsyncWriteExt;
async fn write_fixture(path: &Path, rows: Vec<serde_json::Value>) {
if let Some(dir) = path.parent() {
tokio::fs::create_dir_all(dir).await.unwrap();
}
let mut f = tokio::fs::OpenOptions::new()
.create(true).write(true).truncate(true).open(path).await.unwrap();
for r in rows {
let mut line = serde_json::to_string(&r).unwrap();
line.push('\n');
f.write_all(line.as_bytes()).await.unwrap();
}
}
fn tmp_path(name: &str) -> std::path::PathBuf {
let nanos = std::time::SystemTime::now().duration_since(std::time::UNIX_EPOCH).unwrap().as_nanos();
std::env::temp_dir().join(format!("lh_kb_ctx_{}_{}_{}", std::process::id(), nanos, name))
}
#[tokio::test]
async fn empty_files_produce_empty_context() {
let op = tmp_path("outcomes.jsonl");
let cp = tmp_path("corrections.jsonl");
let ctx = KbContext::load_from("sig123", "staffing.fill", &op, &cp).await;
assert!(ctx.recent_outcomes.is_empty());
assert!(ctx.recent_corrections.is_empty());
assert!(ctx.success_rate.is_none());
assert_eq!(ctx.total_observed, 0);
}
#[tokio::test]
async fn exact_sig_hash_matches_take_priority() {
let op = tmp_path("outcomes.jsonl");
let cp = tmp_path("corrections.jsonl");
write_fixture(&op, vec![
// Other sig_hash, same task_class — loose match
serde_json::json!({
"sig_hash": "other", "task_class": "staffing.fill",
"ok": false, "polarity": "failure_pattern", "turns": 1,
"usage": {"latency_ms": 1000, "total_tokens": 100},
"created_at": "2026-04-22T10:00:00Z",
}),
// Exact sig_hash — should lead
serde_json::json!({
"sig_hash": "sig123", "task_class": "staffing.fill",
"ok": true, "polarity": "success_confirmation", "turns": 3,
"usage": {"latency_ms": 2000, "total_tokens": 500},
"created_at": "2026-04-23T10:00:00Z",
}),
]).await;
write_fixture(&cp, vec![]).await;
let ctx = KbContext::load_from("sig123", "staffing.fill", &op, &cp).await;
assert_eq!(ctx.recent_outcomes.len(), 2);
assert_eq!(ctx.recent_outcomes[0].created_at, "2026-04-23T10:00:00Z");
assert_eq!(ctx.recent_outcomes[0].ok, true);
assert_eq!(ctx.total_observed, 2);
assert!((ctx.success_rate.unwrap() - 0.5).abs() < 0.001);
}
#[tokio::test]
async fn corrupt_rows_are_skipped() {
let op = tmp_path("outcomes.jsonl");
let cp = tmp_path("corrections.jsonl");
// Mix valid + invalid — invalid should be silently skipped.
if let Some(dir) = op.parent() { tokio::fs::create_dir_all(dir).await.unwrap(); }
tokio::fs::write(&op, "not json\n{\"sig_hash\":\"sig1\",\"task_class\":\"tc\",\"ok\":true,\"turns\":1,\"usage\":{}}\ngarbage\n").await.unwrap();
write_fixture(&cp, vec![]).await;
let ctx = KbContext::load_from("sig1", "tc", &op, &cp).await;
assert_eq!(ctx.recent_outcomes.len(), 1);
}
#[tokio::test]
async fn corrections_preview_is_truncated() {
let op = tmp_path("outcomes.jsonl");
let cp = tmp_path("corrections.jsonl");
let long = "x".repeat(500);
write_fixture(&op, vec![]).await;
write_fixture(&cp, vec![serde_json::json!({
"sig_hash": "sig1", "task_class": "tc",
"reason": "abort", "correction": long, "applied_at_turn": 3,
"created_at": "2026-04-23T10:00:00Z",
})]).await;
let ctx = KbContext::load_from("sig1", "tc", &op, &cp).await;
assert_eq!(ctx.recent_corrections.len(), 1);
// 300-char cap + 3-byte UTF-8 ellipsis character = 303-byte worst case.
assert!(ctx.recent_corrections[0].correction_preview.len() <= 303);
}
#[test]
fn prompt_section_is_stable_for_empty_context() {
let ctx = KbContext::default();
let s = ctx.to_prompt_section();
assert!(s.contains("No prior similar runs recorded"));
}
#[test]
fn prompt_section_reports_aggregate_rates() {
let ctx = KbContext {
total_observed: 10,
success_rate: Some(0.7),
avg_turns: Some(4.2),
avg_latency_ms: Some(45000),
..Default::default()
};
let s = ctx.to_prompt_section();
assert!(s.contains("success_rate=70.0%"));
assert!(s.contains("avg_turns=4.2"));
assert!(s.contains("avg_latency_ms=45000"));
}
}
File diff suppressed because it is too large Load Diff
+6 -78
View File
@@ -1,7 +1,6 @@
mod access; mod access;
mod access_service; mod access_service;
mod auth; mod auth;
mod execution_loop;
mod observability; mod observability;
mod tools; mod tools;
mod v1; mod v1;
@@ -68,27 +67,6 @@ async fn main() {
let access = access::AccessControl::new(config.auth.enabled); let access = access::AccessControl::new(config.auth.enabled);
access.register_defaults().await; access.register_defaults().await;
// Phase 42 — file-backed truth rules. Probes the `truth/` directory
// at repo root (or $LAKEHOUSE_TRUTH_DIR override) and logs how many
// rules load. Current request paths still build their own stores
// via truth::default_truth_store() / truth::sql_query_guard_store();
// the composed-at-boot store gets plumbed through V1State in a
// follow-up. This boot probe catches parse errors + duplicate-ID
// collisions early rather than at first request.
{
let truth_dir = std::env::var("LAKEHOUSE_TRUTH_DIR")
.unwrap_or_else(|_| "/home/profit/lakehouse/truth".to_string());
if std::path::Path::new(&truth_dir).exists() {
let mut probe_store = truth::default_truth_store();
match truth::loader::load_from_dir(&mut probe_store, &truth_dir) {
Ok(n) => tracing::info!("truth: loaded {n} file-backed rule(s) from {truth_dir}"),
Err(e) => tracing::warn!("truth: failed to load rules from {truth_dir}: {e}"),
}
} else {
tracing::debug!("truth: no rule dir at {truth_dir}, skipping file-backed load");
}
}
// Workspace manager for agent-specific overlays // Workspace manager for agent-specific overlays
let workspace_mgr = queryd::workspace::WorkspaceManager::new(store.clone()); let workspace_mgr = queryd::workspace::WorkspaceManager::new(store.clone());
if let Err(e) = workspace_mgr.rebuild().await { if let Err(e) = workspace_mgr.rebuild().await {
@@ -114,12 +92,6 @@ async fn main() {
// operators call POST /vectors/playbook_memory/rebuild to populate. // operators call POST /vectors/playbook_memory/rebuild to populate.
let pbm = vectord::playbook_memory::PlaybookMemory::new(store.clone()); let pbm = vectord::playbook_memory::PlaybookMemory::new(store.clone());
let _ = pbm.load_from_storage().await; let _ = pbm.load_from_storage().await;
// Pathway memory — consensus-designed sidecar for full-context
// backtracking + hot-swap of successful review pathways. Same
// load-on-boot pattern as playbook_memory: empty state is fine,
// operators start populating via scrum_master_pipeline.ts.
let pwm = vectord::pathway_memory::PathwayMemory::new(store.clone());
let _ = pwm.load_from_storage().await;
// Phase 16.2: spawn the autotune agent. When config.agent.enabled=false // Phase 16.2: spawn the autotune agent. When config.agent.enabled=false
// this returns a handle that drops triggers silently — no surprise load. // this returns a handle that drops triggers silently — no surprise load.
@@ -181,11 +153,6 @@ async fn main() {
agent_handle: agent_handle.clone(), agent_handle: agent_handle.clone(),
index_registry: index_reg.clone(), index_registry: index_reg.clone(),
schedules: sched_store, schedules: sched_store,
// P9-001 fix 2026-04-23: journal reference flows into ingest so
// successful uploads emit a record_ingest event. Journal is Clone
// (Arc<RwLock> inside) so the /journal nest below still sees the
// same buffer + persistence.
journal: Some(journal.clone()),
})) }))
.nest("/vectors", vectord::service::router(vectord::service::VectorState { .nest("/vectors", vectord::service::router(vectord::service::VectorState {
store: store.clone(), store: store.clone(),
@@ -205,19 +172,17 @@ async fn main() {
bucket_registry.clone(), index_reg.clone(), bucket_registry.clone(), index_reg.clone(),
), ),
playbook_memory: pbm, playbook_memory: pbm,
pathway_memory: pwm,
embed_semaphore: std::sync::Arc::new(tokio::sync::Semaphore::new(1)), embed_semaphore: std::sync::Arc::new(tokio::sync::Semaphore::new(1)),
})) }))
.nest("/workspaces", queryd::workspace_service::router(workspace_mgr)) .nest("/workspaces", queryd::workspace_service::router(workspace_mgr))
.nest("/journal", journald::service::router(journal)) .nest("/journal", journald::service::router(journal))
.nest("/access", access_service::router(access)) .nest("/access", access_service::router(access))
.nest("/tools", tools::service::router({ .nest("/tools", tools::service::router({
let tool_reg = tools::registry::ToolRegistry::new(); let tool_reg = tools::registry::ToolRegistry::new_with_defaults();
tool_reg.register_defaults().await; tool_reg.register_defaults().await;
tools::ToolState { tools::ToolState {
registry: tool_reg, registry: tool_reg,
query_fn: tools::QueryExecutor::new(engine.clone()), query_fn: tools::QueryExecutor::new(engine.clone()),
truth: std::sync::Arc::new(truth::sql_query_guard_store()),
} }
})) }))
// Phase 38 — Universal API skeleton. Thin OpenAI-compatible // Phase 38 — Universal API skeleton. Thin OpenAI-compatible
@@ -239,38 +204,6 @@ async fn main() {
} }
k k
}, },
openrouter_key: {
// 2026-04-24 free-tier rescue rung for iter 5+. Shares
// the LLM Team UI's OPENROUTER_API_KEY so both systems
// draw from one quota.
let k = v1::openrouter::resolve_openrouter_key();
if k.is_some() {
tracing::info!("v1: OpenRouter key loaded — /v1/chat provider=openrouter enabled");
} else {
tracing::warn!("v1: no OpenRouter key — openrouter rescue rung will 503");
}
k
},
gemini_key: {
// Phase 40 provider. GEMINI_API_KEY in env or .env.
let k = v1::gemini::resolve_gemini_key();
if k.is_some() {
tracing::info!("v1: Gemini key loaded — /v1/chat provider=gemini enabled");
} else {
tracing::debug!("v1: no Gemini key — provider=gemini will 503");
}
k
},
claude_key: {
// Phase 40 provider. ANTHROPIC_API_KEY in env or .env.
let k = v1::claude::resolve_claude_key();
if k.is_some() {
tracing::info!("v1: Claude key loaded — /v1/chat provider=claude enabled");
} else {
tracing::debug!("v1: no Claude key — provider=claude will 503");
}
k
},
// Phase 40 early deliverable — Langfuse trace emitter. // Phase 40 early deliverable — Langfuse trace emitter.
// Defaults match mcp-server/tracing.ts conventions so // Defaults match mcp-server/tracing.ts conventions so
// gateway traces land in the same staffing project. // gateway traces land in the same staffing project.
@@ -285,19 +218,14 @@ async fn main() {
}, },
})); }));
// Auth middleware (if enabled) — P5-001 fix 2026-04-23: // Auth middleware (if enabled)
// previously only inserted the ApiKey as an extension and never layered
// the middleware, so auth.enabled=true enforced nothing. Now wraps the
// router with from_fn_with_state, which calls api_key_auth on every
// request. /health is exempted inside the middleware (LB probes).
if config.auth.enabled { if config.auth.enabled {
if let Some(ref key) = config.auth.api_key { if let Some(ref key) = config.auth.api_key {
tracing::info!("API key auth enabled — enforcing on all routes except /health"); tracing::info!("API key auth enabled");
let api_key = auth::ApiKey(key.clone()); let api_key = auth::ApiKey(key.clone());
app = app.layer(axum::middleware::from_fn_with_state( app = app.layer(axum::Extension(api_key));
api_key, // Note: auth middleware applied per-route in production
auth::api_key_auth, // For now, the ApiKey extension is available for handlers to check
));
} else { } else {
tracing::warn!("auth enabled but no api_key set — all requests allowed"); tracing::warn!("auth enabled but no api_key set — all requests allowed");
} }
-6
View File
@@ -3,18 +3,12 @@ pub mod service;
use queryd::context::QueryEngine; use queryd::context::QueryEngine;
use arrow::json::writer::{JsonArray, Writer as JsonWriter}; use arrow::json::writer::{JsonArray, Writer as JsonWriter};
use std::sync::Arc;
use truth::TruthStore;
/// State for the tool system. /// State for the tool system.
#[derive(Clone)] #[derive(Clone)]
pub struct ToolState { pub struct ToolState {
pub registry: registry::ToolRegistry, pub registry: registry::ToolRegistry,
pub query_fn: QueryExecutor, pub query_fn: QueryExecutor,
/// SQL guard (shared with queryd). Mirrors the queryd /sql truth
/// gate from P42-002 (9cc0ceb) — tools also execute model-
/// originated SQL, need the same destructive-verb block.
pub truth: Arc<TruthStore>,
} }
/// Wraps QueryEngine to provide a simple execute interface for tools. /// Wraps QueryEngine to provide a simple execute interface for tools.
+15 -5
View File
@@ -67,14 +67,24 @@ pub struct ToolRegistry {
} }
impl ToolRegistry { impl ToolRegistry {
/// Build an empty registry. Callers in an async context should follow
/// this with `.register_defaults().await` if they want the built-in
/// staffing tools pre-installed — main.rs does exactly that.
pub fn new() -> Self { pub fn new() -> Self {
Self { let registry = Self {
tools: Arc::new(RwLock::new(HashMap::new())), tools: Arc::new(RwLock::new(HashMap::new())),
audit_log: Arc::new(RwLock::new(Vec::new())), audit_log: Arc::new(RwLock::new(Vec::new())),
} };
// Register built-in staffing tools
tokio::task::block_in_place(|| {
tokio::runtime::Handle::current().block_on(registry.register_defaults())
});
registry
}
pub fn new_with_defaults() -> Self {
let registry = Self {
tools: Arc::new(RwLock::new(HashMap::new())),
audit_log: Arc::new(RwLock::new(Vec::new())),
};
registry
} }
/// Register default staffing tools. /// Register default staffing tools.
+1 -27
View File
@@ -7,7 +7,7 @@ use axum::{
}; };
use serde::Deserialize; use serde::Deserialize;
use super::registry::{ToolInvocation, ToolRegistry}; use super::registry::{Permission, ToolInvocation, ToolRegistry};
use crate::tools::ToolState; use crate::tools::ToolState;
pub fn router(state: ToolState) -> Router { pub fn router(state: ToolState) -> Router {
@@ -92,32 +92,6 @@ async fn call_tool(
} }
}; };
// Truth gate — same contract as queryd /sql (P42-002). Rejects
// destructive verbs + empty SQL. Scrum iter 11 CF-1 + CF-2 on this
// file: tools executed model-provided SQL parameters without any
// validation. Close the gap here so the parallel surface has the
// same safety floor as queryd.
let ctx = serde_json::json!({ "sql": sql });
for outcome in state.truth.evaluate("sql_query", &ctx) {
if outcome.passed {
if let truth::RuleAction::Reject { message } | truth::RuleAction::Block { message } = &outcome.action {
tracing::warn!("tool {name}: SQL blocked by truth gate ({}): {message}", outcome.rule_id);
state.registry.log_invocation(ToolInvocation {
id: format!("inv-{}", chrono::Utc::now().timestamp_millis()),
tool_name: name.clone(),
agent: req.agent.clone(),
params: req.params.clone(),
permission: tool.permission.clone(),
timestamp: chrono::Utc::now(),
success: false,
error: Some(format!("truth gate: {message}")),
rows_returned: None,
}).await;
return Err((StatusCode::FORBIDDEN, message.clone()));
}
}
}
// Execute via query engine // Execute via query engine
let result = state.query_fn.execute(&sql).await; let result = state.query_fn.execute(&sql).await;
-222
View File
@@ -1,222 +0,0 @@
//! Claude (Anthropic) adapter.
//!
//! POST `https://api.anthropic.com/v1/messages`. Auth via `x-api-key`
//! header (not bearer) + required `anthropic-version` header. Payload
//! is NOT OpenAI-compatible — response text lives at
//! `content[0].text`. Phase 40 deliverable. System prompts travel in
//! a top-level `system` field, separate from the `messages` array.
use std::time::Duration;
use serde::{Deserialize, Serialize};
use super::{ChatRequest, ChatResponse, Choice, Message, UsageBlock};
const CLAUDE_BASE_URL: &str = "https://api.anthropic.com/v1";
const CLAUDE_API_VERSION: &str = "2023-06-01";
const CLAUDE_TIMEOUT_SECS: u64 = 180;
pub fn resolve_claude_key() -> Option<String> {
if let Ok(k) = std::env::var("ANTHROPIC_API_KEY") {
if !k.trim().is_empty() { return Some(k.trim().to_string()); }
}
for path in ["/home/profit/.env", "/root/.env"] {
if let Ok(raw) = std::fs::read_to_string(path) {
for line in raw.lines() {
if let Some(rest) = line.strip_prefix("ANTHROPIC_API_KEY=") {
let k = rest.trim().trim_matches('"').trim_matches('\'');
if !k.is_empty() { return Some(k.to_string()); }
}
}
}
}
None
}
pub async fn chat(
key: &str,
req: &ChatRequest,
) -> Result<ChatResponse, String> {
// Strip the "claude/" prefix if the caller used the namespaced form.
let model = req.model.strip_prefix("claude/").unwrap_or(&req.model).to_string();
// Anthropic carries system prompts outside the messages array.
// Concatenate any system-role messages into a single system string;
// keep user + assistant messages in `messages`.
let mut system_parts: Vec<String> = Vec::new();
let mut msgs: Vec<AnMessage> = Vec::new();
for m in &req.messages {
if m.role == "system" {
system_parts.push(m.text());
} else {
// Anthropic expects strictly "user" or "assistant"; anything
// else we normalize to "user".
let role = if m.role == "assistant" { "assistant" } else { "user" };
msgs.push(AnMessage { role: role.to_string(), content: m.text() });
}
}
let system = if system_parts.is_empty() {
None
} else {
Some(system_parts.join("\n\n"))
};
let body = AnChatBody {
model: model.clone(),
messages: msgs,
max_tokens: req.max_tokens.unwrap_or(800),
temperature: req.temperature.unwrap_or(0.3),
system,
};
let client = reqwest::Client::builder()
.timeout(Duration::from_secs(CLAUDE_TIMEOUT_SECS))
.build()
.map_err(|e| format!("build client: {e}"))?;
let t0 = std::time::Instant::now();
let resp = client
.post(format!("{}/messages", CLAUDE_BASE_URL))
.header("x-api-key", key)
.header("anthropic-version", CLAUDE_API_VERSION)
.json(&body)
.send()
.await
.map_err(|e| format!("api.anthropic.com unreachable: {e}"))?;
let status = resp.status();
if !status.is_success() {
let body = resp.text().await.unwrap_or_else(|_| "?".into());
return Err(format!("claude {}: {}", status, body));
}
let parsed: AnChatResponse = resp.json().await
.map_err(|e| format!("invalid claude response: {e}"))?;
let latency_ms = t0.elapsed().as_millis();
let text = parsed.content.into_iter()
.find(|b| b.block_type == "text")
.map(|b| b.text)
.unwrap_or_default();
let prompt_tokens = parsed.usage.as_ref().map(|u| u.input_tokens).unwrap_or_else(|| {
let chars: usize = req.messages.iter().map(|m| m.text().chars().count()).sum();
((chars + 3) / 4) as u32
});
let completion_tokens = parsed.usage.as_ref().map(|u| u.output_tokens).unwrap_or_else(|| {
((text.chars().count() + 3) / 4) as u32
});
tracing::info!(
target: "v1.chat",
provider = "claude",
model = %model,
prompt_tokens,
completion_tokens,
latency_ms = latency_ms as u64,
"claude chat completed",
);
Ok(ChatResponse {
id: format!("chatcmpl-{}", chrono::Utc::now().timestamp_nanos_opt().unwrap_or(0)),
object: "chat.completion",
created: chrono::Utc::now().timestamp(),
model,
choices: vec![Choice {
index: 0,
message: Message::new_text("assistant", text),
finish_reason: parsed.stop_reason.unwrap_or_else(|| "stop".into()),
}],
usage: UsageBlock {
prompt_tokens,
completion_tokens,
total_tokens: prompt_tokens + completion_tokens,
},
})
}
// -- Anthropic Messages API wire shapes --
#[derive(Serialize)]
struct AnChatBody {
model: String,
messages: Vec<AnMessage>,
max_tokens: u32,
temperature: f64,
#[serde(skip_serializing_if = "Option::is_none")]
system: Option<String>,
}
#[derive(Serialize)]
struct AnMessage { role: String, content: String }
#[derive(Deserialize)]
struct AnChatResponse {
content: Vec<AnContentBlock>,
#[serde(default, rename = "stop_reason")]
stop_reason: Option<String>,
#[serde(default)]
usage: Option<AnUsage>,
}
#[derive(Deserialize)]
struct AnContentBlock {
#[serde(rename = "type")]
block_type: String,
#[serde(default)]
text: String,
}
#[derive(Deserialize)]
struct AnUsage { input_tokens: u32, output_tokens: u32 }
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn resolve_claude_key_does_not_panic() {
let _ = resolve_claude_key();
}
#[test]
fn chat_body_serializes_with_separate_system() {
let body = AnChatBody {
model: "claude-3-5-sonnet-latest".into(),
messages: vec![
AnMessage { role: "user".into(), content: "hi".into() },
],
max_tokens: 800,
temperature: 0.3,
system: Some("You are helpful.".into()),
};
let json = serde_json::to_string(&body).unwrap();
assert!(json.contains("\"system\":\"You are helpful.\""));
assert!(json.contains("\"messages\""));
assert!(json.contains("\"max_tokens\":800"));
}
#[test]
fn body_omits_system_when_none() {
let body = AnChatBody {
model: "claude-3-5-sonnet-latest".into(),
messages: vec![AnMessage { role: "user".into(), content: "hi".into() }],
max_tokens: 800,
temperature: 0.3,
system: None,
};
let json = serde_json::to_string(&body).unwrap();
assert!(!json.contains("\"system\""), "system field should be skipped when None: {json}");
}
#[test]
fn model_prefix_strip_preserves_bare_names() {
let cases = [
("claude/claude-3-5-sonnet-latest", "claude-3-5-sonnet-latest"),
("claude-3-5-sonnet-latest", "claude-3-5-sonnet-latest"),
];
for (input, expected) in cases {
let out = input.strip_prefix("claude/").unwrap_or(input);
assert_eq!(out, expected);
}
}
}
-230
View File
@@ -1,230 +0,0 @@
//! Gemini adapter — Google's Generative Language API.
//!
//! POST `https://generativelanguage.googleapis.com/v1beta/models/
//! {model}:generateContent?key=<API_KEY>`. Auth via query-string key
//! (not bearer). Payload shape is NOT OpenAI-compatible — we map
//! messages → contents + parts, extract response from `candidates[0]
//! .content.parts[0].text`. Phase 40 deliverable; gate: `/v1/chat`
//! with a prefixed or explicit gemini model returns normally.
use std::time::Duration;
use serde::{Deserialize, Serialize};
use super::{ChatRequest, ChatResponse, Choice, Message, UsageBlock};
const GEMINI_BASE_URL: &str = "https://generativelanguage.googleapis.com/v1beta";
const GEMINI_TIMEOUT_SECS: u64 = 180;
pub fn resolve_gemini_key() -> Option<String> {
if let Ok(k) = std::env::var("GEMINI_API_KEY") {
if !k.trim().is_empty() { return Some(k.trim().to_string()); }
}
for path in ["/home/profit/.env", "/root/.env"] {
if let Ok(raw) = std::fs::read_to_string(path) {
for line in raw.lines() {
if let Some(rest) = line.strip_prefix("GEMINI_API_KEY=") {
let k = rest.trim().trim_matches('"').trim_matches('\'');
if !k.is_empty() { return Some(k.to_string()); }
}
}
}
}
None
}
pub async fn chat(
key: &str,
req: &ChatRequest,
) -> Result<ChatResponse, String> {
// Strip the "gemini/" prefix if the caller used the namespaced form.
let model = req.model.strip_prefix("gemini/").unwrap_or(&req.model).to_string();
// Gemini splits system prompt from conversation differently.
// Simplest working mapping: concatenate any system messages at the
// top of a single user turn, then append user/assistant turns as
// separate contents entries. Covers the common single-turn case
// the scrum pipeline uses.
let mut contents: Vec<GmContent> = Vec::new();
for m in &req.messages {
let role = match m.role.as_str() {
"system" | "user" => "user",
_ => "model",
};
contents.push(GmContent {
role: role.to_string(),
parts: vec![GmPart { text: m.text() }],
});
}
let body = GmChatBody {
contents,
generation_config: GmGenerationConfig {
temperature: req.temperature.unwrap_or(0.3),
max_output_tokens: req.max_tokens.unwrap_or(800),
},
};
let client = reqwest::Client::builder()
.timeout(Duration::from_secs(GEMINI_TIMEOUT_SECS))
.build()
.map_err(|e| format!("build client: {e}"))?;
let url = format!("{}/models/{}:generateContent?key={}", GEMINI_BASE_URL, model, key);
let t0 = std::time::Instant::now();
let resp = client
.post(&url)
.json(&body)
.send()
.await
.map_err(|e| format!("generativelanguage.googleapis.com unreachable: {e}"))?;
let status = resp.status();
if !status.is_success() {
let body = resp.text().await.unwrap_or_else(|_| "?".into());
return Err(format!("gemini {}: {}", status, body));
}
let parsed: GmChatResponse = resp.json().await
.map_err(|e| format!("invalid gemini response: {e}"))?;
let latency_ms = t0.elapsed().as_millis();
let candidate = parsed.candidates.into_iter().next()
.ok_or_else(|| "gemini returned no candidates".to_string())?;
let text = candidate.content.parts.into_iter()
.next()
.map(|p| p.text)
.unwrap_or_default();
let prompt_tokens = parsed.usage_metadata.as_ref()
.map(|u| u.prompt_token_count)
.unwrap_or_else(|| {
let chars: usize = req.messages.iter().map(|m| m.text().chars().count()).sum();
((chars + 3) / 4) as u32
});
let completion_tokens = parsed.usage_metadata.as_ref()
.map(|u| u.candidates_token_count)
.unwrap_or_else(|| ((text.chars().count() + 3) / 4) as u32);
tracing::info!(
target: "v1.chat",
provider = "gemini",
model = %model,
prompt_tokens,
completion_tokens,
latency_ms = latency_ms as u64,
"gemini chat completed",
);
Ok(ChatResponse {
id: format!("chatcmpl-{}", chrono::Utc::now().timestamp_nanos_opt().unwrap_or(0)),
object: "chat.completion",
created: chrono::Utc::now().timestamp(),
model,
choices: vec![Choice {
index: 0,
message: Message::new_text("assistant", text),
finish_reason: candidate.finish_reason.unwrap_or_else(|| "stop".into()),
}],
usage: UsageBlock {
prompt_tokens,
completion_tokens,
total_tokens: prompt_tokens + completion_tokens,
},
})
}
// -- Gemini wire shapes --
#[derive(Serialize)]
struct GmChatBody {
contents: Vec<GmContent>,
#[serde(rename = "generationConfig")]
generation_config: GmGenerationConfig,
}
#[derive(Serialize)]
struct GmContent {
role: String,
parts: Vec<GmPart>,
}
#[derive(Serialize)]
struct GmPart { text: String }
#[derive(Serialize)]
#[serde(rename_all = "camelCase")]
struct GmGenerationConfig {
temperature: f64,
max_output_tokens: u32,
}
#[derive(Deserialize)]
struct GmChatResponse {
candidates: Vec<GmCandidate>,
#[serde(default, rename = "usageMetadata")]
usage_metadata: Option<GmUsage>,
}
#[derive(Deserialize)]
struct GmCandidate {
content: GmContentResp,
#[serde(default, rename = "finishReason")]
finish_reason: Option<String>,
}
#[derive(Deserialize)]
struct GmContentResp { parts: Vec<GmPartResp> }
#[derive(Deserialize)]
struct GmPartResp { #[serde(default)] text: String }
#[derive(Deserialize)]
#[serde(rename_all = "camelCase")]
struct GmUsage {
prompt_token_count: u32,
candidates_token_count: u32,
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn resolve_gemini_key_does_not_panic() {
let _ = resolve_gemini_key();
}
#[test]
fn chat_body_serializes_to_gemini_shape() {
let body = GmChatBody {
contents: vec![
GmContent {
role: "user".into(),
parts: vec![GmPart { text: "hello".into() }],
},
],
generation_config: GmGenerationConfig {
temperature: 0.3,
max_output_tokens: 800,
},
};
let json = serde_json::to_string(&body).unwrap();
assert!(json.contains("\"contents\""));
assert!(json.contains("\"parts\""));
// camelCase per Gemini API
assert!(json.contains("\"generationConfig\""));
assert!(json.contains("\"maxOutputTokens\":800"));
}
#[test]
fn model_prefix_strip_preserves_bare_names() {
let cases = [
("gemini/gemini-2.0-flash", "gemini-2.0-flash"),
("gemini-2.0-flash", "gemini-2.0-flash"),
];
for (input, expected) in cases {
let out = input.strip_prefix("gemini/").unwrap_or(input);
assert_eq!(out, expected);
}
}
}
+14 -316
View File
@@ -13,13 +13,7 @@
pub mod ollama; pub mod ollama;
pub mod ollama_cloud; pub mod ollama_cloud;
pub mod openrouter;
pub mod gemini;
pub mod claude;
pub mod langfuse_trace; pub mod langfuse_trace;
pub mod mode;
pub mod respond;
pub mod truth;
use axum::{ use axum::{
Router, Router,
@@ -40,19 +34,6 @@ pub struct V1State {
/// Ollama Cloud bearer token. Loaded at startup via /// Ollama Cloud bearer token. Loaded at startup via
/// `ollama_cloud::resolve_cloud_key()`. None = cloud routes 503. /// `ollama_cloud::resolve_cloud_key()`. None = cloud routes 503.
pub ollama_cloud_key: Option<String>, pub ollama_cloud_key: Option<String>,
/// OpenRouter bearer token — free-tier rescue rung. Loaded at
/// startup via `openrouter::resolve_openrouter_key()`. None means
/// provider="openrouter" calls 503 rather than attempt. Same key
/// sourcing as LLM Team UI so the two share one API quota.
pub openrouter_key: Option<String>,
/// Gemini API key (Google Generative Language). Loaded at startup
/// via `gemini::resolve_gemini_key()`. None = provider="gemini"
/// calls 503. Phase 40 deliverable.
pub gemini_key: Option<String>,
/// Anthropic Claude API key. Loaded at startup via
/// `claude::resolve_claude_key()`. None = provider="claude" calls
/// 503. Phase 40 deliverable.
pub claude_key: Option<String>,
/// Phase 40 early deliverable — Langfuse client. None = tracing /// Phase 40 early deliverable — Langfuse client. None = tracing
/// disabled (keys missing or container unreachable). Traces are /// disabled (keys missing or container unreachable). Traces are
/// fire-and-forget: never block the response path. /// fire-and-forget: never block the response path.
@@ -65,85 +46,25 @@ pub struct Usage {
pub prompt_tokens: u64, pub prompt_tokens: u64,
pub completion_tokens: u64, pub completion_tokens: u64,
pub total_tokens: u64, pub total_tokens: u64,
#[serde(default)]
pub by_provider: std::collections::HashMap<String, ProviderUsage>,
}
#[derive(Default, Clone, Serialize)]
pub struct ProviderUsage {
pub requests: u64,
pub prompt_tokens: u64,
pub completion_tokens: u64,
pub total_tokens: u64,
} }
pub fn router(state: V1State) -> Router { pub fn router(state: V1State) -> Router {
Router::new() Router::new()
.route("/chat", post(chat)) .route("/chat", post(chat))
// Canonical OpenAI path alias — lets any client built on the
// openai SDK (pi-ai, langchain-js, etc.) treat the gateway as
// a drop-in middleware via OPENAI_BASE_URL=http://gw/v1 alone.
// Same handler as /chat; same OpenAI-compatible request shape.
.route("/chat/completions", post(chat))
.route("/respond", post(respond::respond))
.route("/usage", get(usage)) .route("/usage", get(usage))
.route("/sessions", get(sessions)) .route("/sessions", get(sessions))
.route("/context", get(truth::context))
.route("/mode", post(mode::route))
.route("/mode/list", get(mode::list))
.route("/mode/execute", post(mode::execute))
.with_state(state) .with_state(state)
} }
// -- Shared types (OpenAI-compatible) -- // -- Shared types (OpenAI-compatible) --
/// OpenAI-compatible message. `content` accepts either a plain string or
/// an array of content parts (the modern multimodal shape:
/// `[{type:"text", text:"..."}, {type:"image_url", ...}]`). We store as
/// `serde_json::Value` to preserve client shape on forward; downstream
/// providers can take it verbatim. `Message::text()` flattens for
/// places that need a plain string (Ollama prompt assembly, char
/// counts, the assistant's own response synthesis).
#[derive(Serialize, Deserialize, Clone, Debug)] #[derive(Serialize, Deserialize, Clone, Debug)]
pub struct Message { pub struct Message {
pub role: String, pub role: String,
pub content: serde_json::Value, pub content: String,
} }
impl Message { #[derive(Deserialize, Debug)]
/// Construct a plain text message — the common shape for callers
/// that don't need multimodal content. Wraps the body in
/// `serde_json::Value::String` so downstream serializers see the
/// canonical OpenAI shape.
pub fn new_text(role: impl Into<String>, body: impl Into<String>) -> Self {
Self {
role: role.into(),
content: serde_json::Value::String(body.into()),
}
}
/// Flatten content to a plain string. Strings pass through; content-
/// part arrays concatenate the `text` fields with newlines and skip
/// non-text parts (images etc.) — Phase 38/39 callers are text-only,
/// real multimodal forwarding is queued.
pub fn text(&self) -> String {
match &self.content {
serde_json::Value::String(s) => s.clone(),
serde_json::Value::Array(parts) => {
let mut out = String::new();
for p in parts {
if let Some(t) = p.get("text").and_then(|v| v.as_str()) {
if !out.is_empty() { out.push('\n'); }
out.push_str(t);
}
}
out
}
other => other.to_string(),
}
}
}
#[derive(Deserialize, Debug, Clone)]
pub struct ChatRequest { pub struct ChatRequest {
pub model: String, pub model: String,
pub messages: Vec<Message>, pub messages: Vec<Message>,
@@ -199,125 +120,6 @@ pub struct UsageBlock {
// -- Handlers -- // -- Handlers --
/// Phase 39: resolve (provider, effective_model) from a ChatRequest.
///
/// Explicit `req.provider` wins. If absent, infer from a model-name
/// prefix: "openrouter/..." → openrouter (strip prefix), "cloud/..." →
/// ollama_cloud (strip prefix). Bare names default to "ollama".
///
/// The stripped model is what the upstream adapter expects:
/// OpenRouter's API wants "openai/gpt-4o-mini", not
/// "openrouter/openai/gpt-4o-mini".
fn resolve_provider(req: &ChatRequest) -> (String, String) {
if let Some(p) = req.provider.as_deref() {
return (p.to_ascii_lowercase(), req.model.clone());
}
if let Some(rest) = req.model.strip_prefix("openrouter/") {
return ("openrouter".to_string(), rest.to_string());
}
if let Some(rest) = req.model.strip_prefix("cloud/") {
return ("ollama_cloud".to_string(), rest.to_string());
}
if let Some(rest) = req.model.strip_prefix("gemini/") {
return ("gemini".to_string(), rest.to_string());
}
if let Some(rest) = req.model.strip_prefix("claude/") {
return ("claude".to_string(), rest.to_string());
}
// Bare `vendor/model` shape (e.g. `x-ai/grok-4.1-fast`,
// `moonshotai/kimi-k2`, `openai/gpt-oss-120b:free`) → OpenRouter.
// This makes the gateway a drop-in OpenAI-compatible middleware:
// clients using the official `openai` SDK only set OPENAI_BASE_URL
// + a model name and get correct upstream routing without needing
// our custom `provider` field. Ollama models in J's stack use
// `model:tag` form with NO slash (`qwen3.5:latest`, `kimi-k2:1t`),
// so a slash here unambiguously means "namespaced provider/model".
if req.model.contains('/') {
return ("openrouter".to_string(), req.model.clone());
}
// Vendor-bare model names (no slash, no colon) — `gpt-4o-mini`,
// `claude-3-5-sonnet-20241022`, etc. Tools like pi-ai validate
// models against an OpenAI-style catalog (no namespace prefix),
// so they send the bare name. Map to OpenRouter's namespaced form
// by inferring the vendor from the leading token. Falls through to
// ollama if no pattern matches — preserves existing behavior.
if !req.model.contains(':') && !req.model.contains('/') {
let m = req.model.as_str();
if m.starts_with("gpt-") || m.starts_with("o1-") || m.starts_with("o3-") || m.starts_with("o4-") || m == "o1" || m == "o3" || m == "o4-mini" {
return ("openrouter".to_string(), format!("openai/{}", m));
}
if m.starts_with("claude-") {
return ("openrouter".to_string(), format!("anthropic/{}", m));
}
if m.starts_with("grok-") {
return ("openrouter".to_string(), format!("x-ai/{}", m));
}
}
("ollama".to_string(), req.model.clone())
}
#[cfg(test)]
mod resolve_provider_tests {
use super::*;
fn mk_req(provider: Option<&str>, model: &str) -> ChatRequest {
ChatRequest {
model: model.to_string(),
messages: vec![],
temperature: None,
max_tokens: None,
stream: None,
think: None,
provider: provider.map(|s| s.to_string()),
}
}
#[test]
fn explicit_provider_wins() {
let r = mk_req(Some("openrouter"), "qwen3.5:latest");
assert_eq!(resolve_provider(&r), ("openrouter".into(), "qwen3.5:latest".into()));
}
#[test]
fn bare_model_defaults_to_ollama() {
let r = mk_req(None, "qwen3.5:latest");
assert_eq!(resolve_provider(&r), ("ollama".into(), "qwen3.5:latest".into()));
}
#[test]
fn openrouter_prefix_infers_and_strips() {
let r = mk_req(None, "openrouter/openai/gpt-4o-mini");
assert_eq!(resolve_provider(&r), ("openrouter".into(), "openai/gpt-4o-mini".into()));
}
#[test]
fn cloud_prefix_infers_and_strips() {
let r = mk_req(None, "cloud/kimi-k2:1t");
assert_eq!(resolve_provider(&r), ("ollama_cloud".into(), "kimi-k2:1t".into()));
}
#[test]
fn explicit_provider_preserves_full_model_even_with_prefix() {
// If caller provides both provider and a model with a prefix,
// trust them — don't strip. The adapter will get the full model
// string as-is.
let r = mk_req(Some("openrouter"), "openrouter/openai/gpt-4o-mini");
assert_eq!(resolve_provider(&r), ("openrouter".into(), "openrouter/openai/gpt-4o-mini".into()));
}
#[test]
fn gemini_prefix_infers_and_strips() {
let r = mk_req(None, "gemini/gemini-2.0-flash");
assert_eq!(resolve_provider(&r), ("gemini".into(), "gemini-2.0-flash".into()));
}
#[test]
fn claude_prefix_infers_and_strips() {
let r = mk_req(None, "claude/claude-3-5-sonnet-latest");
assert_eq!(resolve_provider(&r), ("claude".into(), "claude-3-5-sonnet-latest".into()));
}
}
async fn chat( async fn chat(
State(state): State<V1State>, State(state): State<V1State>,
Json(req): Json<ChatRequest>, Json(req): Json<ChatRequest>,
@@ -329,84 +131,27 @@ async fn chat(
tracing::warn!("/v1/chat: stream=true requested but Phase 38 returns non-streaming"); tracing::warn!("/v1/chat: stream=true requested but Phase 38 returns non-streaming");
} }
// Provider resolution: explicit `req.provider` wins; otherwise let provider = req.provider.as_deref().unwrap_or("ollama").to_ascii_lowercase();
// infer from a model-name prefix. Phase 39 PRD gate example:
// `model: "openrouter/openai/gpt-4o-mini"` → provider "openrouter",
// adapter gets the stripped "openai/gpt-4o-mini".
let (provider, effective_model) = resolve_provider(&req);
let start_time = chrono::Utc::now(); let start_time = chrono::Utc::now();
let start_instant = std::time::Instant::now(); let start_instant = std::time::Instant::now();
// If we stripped a prefix, clone req with the effective model so let resp = match provider.as_str() {
// the adapter sees what the upstream provider expects (OpenRouter "ollama" | "local" | "" => ollama::chat(&state.ai_client, &req)
// wants "openai/gpt-4o-mini", not "openrouter/openai/gpt-4o-mini"). .await
let req_for_adapter: std::borrow::Cow<'_, ChatRequest> = .map_err(|e| (StatusCode::BAD_GATEWAY, format!("ollama local: {e}")))?,
if effective_model == req.model {
std::borrow::Cow::Borrowed(&req)
} else {
let mut cloned = req.clone();
cloned.model = effective_model.clone();
std::borrow::Cow::Owned(cloned)
};
let (resp, used_provider) = match provider.as_str() {
"ollama" | "local" | "" => {
let r = ollama::chat(&state.ai_client, &*req_for_adapter)
.await
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("ollama local: {e}")))?;
(r, "ollama".to_string())
}
"ollama_cloud" | "cloud" => { "ollama_cloud" | "cloud" => {
let key = state.ollama_cloud_key.as_deref().ok_or(( let key = state.ollama_cloud_key.as_deref().ok_or((
StatusCode::SERVICE_UNAVAILABLE, StatusCode::SERVICE_UNAVAILABLE,
"OLLAMA_CLOUD_KEY not configured".to_string(), "OLLAMA_CLOUD_KEY not configured — set env or populate /root/llm_team_config.json".to_string(),
))?; ))?;
let r = ollama_cloud::chat(key, &*req_for_adapter) ollama_cloud::chat(key, &req)
.await .await
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("ollama cloud: {e}")))?; .map_err(|e| (StatusCode::BAD_GATEWAY, format!("ollama cloud: {e}")))?
(r, "ollama_cloud".to_string())
}
"openrouter" | "openrouter_free" => {
// Free-tier rescue rung. Added 2026-04-24 after iter 5
// repeated Ollama Cloud 502s on kimi-k2:1t — OpenRouter
// gives a different provider backbone as fallback.
let key = state.openrouter_key.as_deref().ok_or((
StatusCode::SERVICE_UNAVAILABLE,
"OPENROUTER_API_KEY not configured".to_string(),
))?;
let r = openrouter::chat(key, &*req_for_adapter)
.await
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("openrouter: {e}")))?;
(r, "openrouter".to_string())
}
"gemini" => {
// Phase 40 provider adapter. Google Generative Language
// API via query-string key auth (not bearer).
let key = state.gemini_key.as_deref().ok_or((
StatusCode::SERVICE_UNAVAILABLE,
"GEMINI_API_KEY not configured".to_string(),
))?;
let r = gemini::chat(key, &*req_for_adapter)
.await
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("gemini: {e}")))?;
(r, "gemini".to_string())
}
"claude" | "anthropic" => {
// Phase 40 provider adapter. Anthropic Messages API via
// x-api-key header + anthropic-version:2023-06-01.
let key = state.claude_key.as_deref().ok_or((
StatusCode::SERVICE_UNAVAILABLE,
"ANTHROPIC_API_KEY not configured".to_string(),
))?;
let r = claude::chat(key, &*req_for_adapter)
.await
.map_err(|e| (StatusCode::BAD_GATEWAY, format!("claude: {e}")))?;
(r, "claude".to_string())
} }
other => { other => {
return Err(( return Err((
StatusCode::BAD_REQUEST, StatusCode::BAD_REQUEST,
format!("unknown provider '{other}' — supported: ollama, ollama_cloud, openrouter, gemini, claude"), format!("unknown provider '{other}' — supported: ollama, ollama_cloud"),
)); ));
} }
}; };
@@ -420,10 +165,10 @@ async fn chat(
// untouched. // untouched.
if let Some(lf) = &state.langfuse { if let Some(lf) = &state.langfuse {
let output = resp.choices.first() let output = resp.choices.first()
.map(|c| c.message.text()) .map(|c| c.message.content.clone())
.unwrap_or_default(); .unwrap_or_default();
lf.emit_chat(langfuse_trace::ChatTrace { lf.emit_chat(langfuse_trace::ChatTrace {
provider: used_provider.clone(), provider: provider.clone(),
model: resp.model.clone(), model: resp.model.clone(),
input: req.messages.clone(), input: req.messages.clone(),
output, output,
@@ -438,59 +183,12 @@ async fn chat(
}); });
} }
// Phase 40 part 2 — fire-and-forget /event to observer at :3800.
// Same ring-buffer that scrum + scenario events land in, so any
// tool-routed-through-our-gateway (Pi, Archon, openai SDK clients)
// shows up alongside scrum_master events for KB consolidation +
// pathway-memory + bug-fingerprint compounding. Best-effort:
// observer being down doesn't block the chat response.
{
let provider = used_provider.clone();
let model = resp.model.clone();
let prompt_tokens = resp.usage.prompt_tokens;
let completion_tokens = resp.usage.completion_tokens;
let success = true;
tokio::spawn(async move {
let body = serde_json::json!({
"endpoint": "/v1/chat",
"source": "v1.chat",
"event_kind": "chat_completion",
"input_summary": format!(
"{} {} prompt={}t",
provider, model, prompt_tokens
),
"output_summary": format!(
"completion={}t {}ms",
completion_tokens, latency_ms
),
"success": success,
"duration_ms": latency_ms,
});
let client = reqwest::Client::builder()
.timeout(std::time::Duration::from_secs(2))
.build()
.unwrap_or_else(|_| reqwest::Client::new());
let _ = client
.post("http://localhost:3800/event")
.json(&body)
.send()
.await;
});
}
// Phase 40: per-provider usage tracking
{ {
let mut u = state.usage.write().await; let mut u = state.usage.write().await;
u.requests += 1; u.requests += 1;
u.prompt_tokens += resp.usage.prompt_tokens as u64; u.prompt_tokens += resp.usage.prompt_tokens as u64;
u.completion_tokens += resp.usage.completion_tokens as u64; u.completion_tokens += resp.usage.completion_tokens as u64;
u.total_tokens += resp.usage.total_tokens as u64; u.total_tokens += resp.usage.total_tokens as u64;
let provider_usage = u.by_provider.entry(used_provider).or_default();
provider_usage.requests += 1;
provider_usage.prompt_tokens += resp.usage.prompt_tokens as u64;
provider_usage.completion_tokens += resp.usage.completion_tokens as u64;
provider_usage.total_tokens += resp.usage.total_tokens as u64;
} }
Ok(Json(resp)) Ok(Json(resp))
@@ -532,7 +230,7 @@ mod tests {
assert_eq!(r.model, "qwen3.5:latest"); assert_eq!(r.model, "qwen3.5:latest");
assert_eq!(r.messages.len(), 2); assert_eq!(r.messages.len(), 2);
assert_eq!(r.messages[0].role, "system"); assert_eq!(r.messages[0].role, "system");
assert_eq!(r.messages[1].text(), "Hi"); assert_eq!(r.messages[1].content, "Hi");
assert_eq!(r.temperature, Some(0.2)); assert_eq!(r.temperature, Some(0.2));
assert_eq!(r.max_tokens, Some(100)); assert_eq!(r.max_tokens, Some(100));
} }
File diff suppressed because it is too large Load Diff
+7 -5
View File
@@ -60,7 +60,10 @@ pub async fn chat(client: &AiClient, req: &ChatRequest) -> Result<ChatResponse,
model: resp.model, model: resp.model,
choices: vec![Choice { choices: vec![Choice {
index: 0, index: 0,
message: Message::new_text("assistant", resp.text), message: Message {
role: "assistant".into(),
content: resp.text,
},
finish_reason: "stop".into(), finish_reason: "stop".into(),
}], }],
usage: UsageBlock { usage: UsageBlock {
@@ -86,14 +89,13 @@ fn flatten_messages(messages: &[Message]) -> (String, String) {
let mut system = String::new(); let mut system = String::new();
let mut prompt = String::new(); let mut prompt = String::new();
for m in messages { for m in messages {
let body = m.text();
if m.role == "system" { if m.role == "system" {
if !system.is_empty() { system.push('\n'); } if !system.is_empty() { system.push('\n'); }
system.push_str(&body); system.push_str(&m.content);
} else { } else {
prompt.push_str(&m.role); prompt.push_str(&m.role);
prompt.push_str(": "); prompt.push_str(": ");
prompt.push_str(&body); prompt.push_str(&m.content);
prompt.push_str("\n\n"); prompt.push_str("\n\n");
} }
} }
@@ -102,7 +104,7 @@ fn flatten_messages(messages: &[Message]) -> (String, String) {
} }
fn estimate_prompt_tokens(messages: &[Message]) -> u32 { fn estimate_prompt_tokens(messages: &[Message]) -> u32 {
let chars: usize = messages.iter().map(|m| m.text().chars().count()).sum(); let chars: usize = messages.iter().map(|m| m.content.chars().count()).sum();
((chars + 3) / 4) as u32 ((chars + 3) / 4) as u32
} }
+2 -2
View File
@@ -88,7 +88,7 @@ pub async fn chat(
let text = parsed.response.unwrap_or_default(); let text = parsed.response.unwrap_or_default();
let prompt_tokens = parsed.prompt_eval_count.unwrap_or_else(|| { let prompt_tokens = parsed.prompt_eval_count.unwrap_or_else(|| {
let chars: usize = req.messages.iter().map(|m| m.text().chars().count()).sum(); let chars: usize = req.messages.iter().map(|m| m.content.chars().count()).sum();
((chars + 3) / 4) as u32 ((chars + 3) / 4) as u32
}); });
let completion_tokens = parsed.eval_count.unwrap_or_else(|| { let completion_tokens = parsed.eval_count.unwrap_or_else(|| {
@@ -112,7 +112,7 @@ pub async fn chat(
model: parsed.model.unwrap_or_else(|| req.model.clone()), model: parsed.model.unwrap_or_else(|| req.model.clone()),
choices: vec![Choice { choices: vec![Choice {
index: 0, index: 0,
message: Message::new_text("assistant", text), message: Message { role: "assistant".into(), content: text },
finish_reason: "stop".into(), finish_reason: "stop".into(),
}], }],
usage: UsageBlock { usage: UsageBlock {
-220
View File
@@ -1,220 +0,0 @@
//! OpenRouter adapter — free-tier rescue rung for /v1/chat.
//!
//! Direct HTTPS call to `https://openrouter.ai/api/v1/chat/completions`
//! with Bearer auth. Mirrors the OpenAI-compatible shape so the model
//! list can be expanded without code changes. Added 2026-04-24 after
//! iter 5 hit repeated Ollama Cloud 502s on kimi-k2:1t — OpenRouter
//! free-tier models give us a different provider backbone as fallback.
//!
//! Key sourcing priority:
//! 1. Env var `OPENROUTER_API_KEY`
//! 2. `/home/profit/.env` (LLM Team convention)
//! 3. `/root/llm_team_config.json` → providers.openrouter.api_key
//!
//! First hit wins. Key is resolved once at gateway startup and stored
//! on `V1State.openrouter_key`.
use std::time::Duration;
use serde::{Deserialize, Serialize};
use super::{ChatRequest, ChatResponse, Choice, Message, UsageBlock};
const OR_BASE_URL: &str = "https://openrouter.ai/api/v1";
const OR_TIMEOUT_SECS: u64 = 180;
pub fn resolve_openrouter_key() -> Option<String> {
if let Ok(k) = std::env::var("OPENROUTER_API_KEY") {
if !k.trim().is_empty() { return Some(k.trim().to_string()); }
}
// LLM Team UI writes its key to ~/.env on the host user — pick it up
// from the same source so the free-tier rescue path works without
// an explicit systemd Environment= line.
for path in ["/home/profit/.env", "/root/.env"] {
if let Ok(raw) = std::fs::read_to_string(path) {
for line in raw.lines() {
if let Some(rest) = line.strip_prefix("OPENROUTER_API_KEY=") {
let k = rest.trim().trim_matches('"').trim_matches('\'');
if !k.is_empty() { return Some(k.to_string()); }
}
}
}
}
if let Ok(raw) = std::fs::read_to_string("/root/llm_team_config.json") {
if let Ok(v) = serde_json::from_str::<serde_json::Value>(&raw) {
if let Some(k) = v.pointer("/providers/openrouter/api_key").and_then(|x| x.as_str()) {
if !k.trim().is_empty() { return Some(k.trim().to_string()); }
}
}
}
None
}
pub async fn chat(
key: &str,
req: &ChatRequest,
) -> Result<ChatResponse, String> {
// Strip the "openrouter/" prefix if the caller used the namespaced
// form so OpenRouter sees the raw model id (e.g. "openai/gpt-oss-120b:free").
let model = req.model.strip_prefix("openrouter/").unwrap_or(&req.model).to_string();
let body = ORChatBody {
model: model.clone(),
// Pass content through verbatim — preserves OpenAI's multimodal
// content-parts shape (`[{type:"text",text:"..."}, ...]`) so the
// upstream provider sees exactly what the client sent.
messages: req.messages.iter().map(|m| ORMessage {
role: m.role.clone(),
content: m.content.clone(),
}).collect(),
max_tokens: req.max_tokens.unwrap_or(800),
temperature: req.temperature.unwrap_or(0.3),
stream: false,
};
let client = reqwest::Client::builder()
.timeout(Duration::from_secs(OR_TIMEOUT_SECS))
.build()
.map_err(|e| format!("build client: {e}"))?;
let t0 = std::time::Instant::now();
let resp = client
.post(format!("{}/chat/completions", OR_BASE_URL))
.bearer_auth(key)
// OpenRouter recommends Referer + Title for attribution; absent
// headers do not fail the call but help us see our traffic in
// their dashboard.
.header("HTTP-Referer", "https://vcp.devop.live")
.header("X-Title", "Lakehouse Scrum")
.json(&body)
.send()
.await
.map_err(|e| format!("openrouter.ai unreachable: {e}"))?;
let status = resp.status();
if !status.is_success() {
let body = resp.text().await.unwrap_or_else(|_| "?".into());
return Err(format!("openrouter.ai {}: {}", status, body));
}
let parsed: ORChatResponse = resp.json().await
.map_err(|e| format!("invalid openrouter response: {e}"))?;
let latency_ms = t0.elapsed().as_millis();
let choice = parsed.choices.into_iter().next()
.ok_or_else(|| "openrouter returned no choices".to_string())?;
let text = choice.message.content;
let prompt_tokens = parsed.usage.as_ref().map(|u| u.prompt_tokens).unwrap_or_else(|| {
let chars: usize = req.messages.iter().map(|m| m.text().chars().count()).sum();
((chars + 3) / 4) as u32
});
let completion_tokens = parsed.usage.as_ref().map(|u| u.completion_tokens).unwrap_or_else(|| {
((text.chars().count() + 3) / 4) as u32
});
tracing::info!(
target: "v1.chat",
provider = "openrouter",
model = %model,
prompt_tokens,
completion_tokens,
latency_ms = latency_ms as u64,
"openrouter chat completed",
);
Ok(ChatResponse {
id: format!("chatcmpl-{}", chrono::Utc::now().timestamp_nanos_opt().unwrap_or(0)),
object: "chat.completion",
created: chrono::Utc::now().timestamp(),
model,
choices: vec![Choice {
index: 0,
message: Message { role: "assistant".into(), content: serde_json::Value::String(text) },
finish_reason: choice.finish_reason.unwrap_or_else(|| "stop".into()),
}],
usage: UsageBlock {
prompt_tokens,
completion_tokens,
total_tokens: prompt_tokens + completion_tokens,
},
})
}
// -- OpenRouter wire shapes (OpenAI-compatible) --
#[derive(Serialize)]
struct ORChatBody {
model: String,
messages: Vec<ORMessage>,
max_tokens: u32,
temperature: f64,
stream: bool,
}
#[derive(Serialize)]
struct ORMessage { role: String, content: serde_json::Value }
#[derive(Deserialize)]
struct ORChatResponse {
choices: Vec<ORChoice>,
#[serde(default)]
usage: Option<ORUsage>,
}
#[derive(Deserialize)]
struct ORChoice {
message: ORMessageResp,
#[serde(default)]
finish_reason: Option<String>,
}
#[derive(Deserialize)]
struct ORMessageResp { content: String }
#[derive(Deserialize)]
struct ORUsage { prompt_tokens: u32, completion_tokens: u32 }
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn resolve_openrouter_key_does_not_panic() {
// Smoke test — all three sources may or may not be set depending
// on environment; just confirm the call returns cleanly.
let _ = resolve_openrouter_key();
}
#[test]
fn chat_body_serializes_to_openai_shape() {
let body = ORChatBody {
model: "openai/gpt-oss-120b:free".into(),
messages: vec![
ORMessage { role: "user".into(), content: "review this".into() },
],
max_tokens: 800,
temperature: 0.3,
stream: false,
};
let json = serde_json::to_string(&body).unwrap();
assert!(json.contains("\"model\":\"openai/gpt-oss-120b:free\""));
assert!(json.contains("\"messages\""));
assert!(json.contains("\"max_tokens\":800"));
assert!(json.contains("\"stream\":false"));
}
#[test]
fn model_prefix_strip_preserves_unprefixed() {
// If caller passes "openrouter/openai/gpt-oss-120b:free" we strip.
// If caller passes "openai/gpt-oss-120b:free" unchanged, we keep.
let cases = [
("openrouter/openai/gpt-oss-120b:free", "openai/gpt-oss-120b:free"),
("openai/gpt-oss-120b:free", "openai/gpt-oss-120b:free"),
("google/gemma-3-27b-it:free", "google/gemma-3-27b-it:free"),
];
for (input, expected) in cases {
let out = input.strip_prefix("openrouter/").unwrap_or(input);
assert_eq!(out, expected, "{input} should become {expected}");
}
}
}
-150
View File
@@ -1,150 +0,0 @@
//! `/v1/respond` — the **execution** API (distinct from `/v1/chat`, the
//! completion API).
//!
//! This is the consolidation move called out in the 2026-04-23 session:
//! lift the proven pipeline from `tests/multi-agent/orchestrator.ts`
//! (executor → reviewer → escalate → validate → seal playbook →
//! write-through to KB) into the gateway, so the production path has
//! the intelligence the tests already proved.
//!
//! `/v1/chat` stays a naive completion proxy for callers that want one.
//! `/v1/respond` is where the loop lives. Every orchestrator-style
//! caller migrates here and the TS harnesses become thin clients.
//!
//! This file holds the HTTP surface + request/response shapes. The loop
//! itself lives in `execution_loop::ExecutionLoop`.
use axum::{extract::State, http::StatusCode, Json};
use serde::{Deserialize, Serialize};
use super::V1State;
use crate::execution_loop::{ExecutionLoop, LogEntry, RespondOutcome};
/// A structured task — mirrors `TaskSpec` in `tests/multi-agent/agent.ts`.
/// Kept deliberately open so non-staffing task classes (code-gen,
/// DevOps-long-horizon) can land without a schema fight.
#[derive(Deserialize, Debug, Clone)]
pub struct RespondRequest {
/// Task class — routes to the right truth rules + validator. For the
/// staffing substrate: `staffing.fill`, `staffing.rescue`,
/// `staffing.sms_draft`. Truth-layer lookup is a no-op until a rule
/// set is registered for the class.
pub task_class: String,
/// Human-readable operation description — becomes the playbook
/// `operation` field on seal, and the primary signal for
/// playbook_memory embedding.
pub operation: String,
/// Free-form structured context. Passed to the executor prompt and
/// to the playbook seeder. Staffing tasks expect
/// `{target_role, target_count, target_city, target_state, approach_hint}`
/// but nothing here validates that — the validator crate will (Phase 43).
#[serde(default)]
pub spec: serde_json::Value,
/// Executor model. Defaults to the hot-path local model if omitted.
/// See orchestrator.ts:28 (`EXECUTOR_MODEL = "qwen3.5:latest"`).
#[serde(default)]
pub executor_model: Option<String>,
/// Reviewer model. Defaults to the hot-path local reviewer.
/// See orchestrator.ts:29 (`REVIEWER_MODEL = "qwen3:latest"`).
#[serde(default)]
pub reviewer_model: Option<String>,
/// Hard cap on executor turns. Default matches orchestrator.ts:30
/// (`MAX_TURNS = 12`). Cloud escalation counts as a turn.
#[serde(default)]
pub max_turns: Option<u32>,
}
#[derive(Serialize)]
pub struct RespondResponse {
/// `ok` = consensus reached, playbook sealed. `failed` = loop ran
/// out of turns or hit the drift cap. `blocked` = truth-layer
/// veto (Phase 42 rule citation in `error`).
pub status: &'static str,
/// The final artifact — for staffing fills, `{fills: [{candidate_id, name}]}`.
/// Empty on failure / block.
pub artifact: serde_json::Value,
/// Structured cross-turn log. Same shape as orchestrator.ts LogEntry
/// so existing tooling (kb extractors, fact_extractor.ts) reads it
/// without change.
pub log: Vec<LogEntry>,
/// Iteration count actually used. ≤ max_turns. Stamped on
/// outcomes.jsonl per the indicator audit (2026-04-23).
pub iterations: u32,
/// Error message on non-ok status. Truth-rule citations land here
/// when `status == "blocked"`.
#[serde(default, skip_serializing_if = "Option::is_none")]
pub error: Option<String>,
}
pub async fn respond(
State(state): State<V1State>,
Json(req): Json<RespondRequest>,
) -> Result<Json<RespondResponse>, (StatusCode, String)> {
if req.operation.is_empty() {
return Err((StatusCode::BAD_REQUEST, "operation must be non-empty".into()));
}
if req.task_class.is_empty() {
return Err((StatusCode::BAD_REQUEST, "task_class must be non-empty".into()));
}
let mut loop_runner = ExecutionLoop::new(state, req);
let outcome = loop_runner.run().await.map_err(|e| {
(StatusCode::INTERNAL_SERVER_ERROR, format!("execution loop: {e}"))
})?;
let (status, error) = match &outcome {
RespondOutcome::Ok { .. } => ("ok", None),
RespondOutcome::Failed { reason, .. } => ("failed", Some(reason.clone())),
RespondOutcome::Blocked { reason, .. } => ("blocked", Some(reason.clone())),
};
Ok(Json(RespondResponse {
status,
artifact: outcome.artifact(),
log: outcome.into_log(),
iterations: loop_runner.turns_used(),
error,
}))
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn respond_request_parses_minimal() {
let raw = r#"{
"task_class": "staffing.fill",
"operation": "fill: Welder x2 in Toledo, OH"
}"#;
let r: RespondRequest = serde_json::from_str(raw).unwrap();
assert_eq!(r.task_class, "staffing.fill");
assert_eq!(r.executor_model, None);
assert_eq!(r.max_turns, None);
}
#[test]
fn respond_request_parses_full() {
let raw = r#"{
"task_class": "staffing.fill",
"operation": "fill: Welder x2 in Toledo, OH",
"spec": {"target_role": "Welder", "target_count": 2, "target_city": "Toledo", "target_state": "OH"},
"executor_model": "qwen3.5:latest",
"reviewer_model": "qwen3:latest",
"max_turns": 12
}"#;
let r: RespondRequest = serde_json::from_str(raw).unwrap();
assert_eq!(r.executor_model.as_deref(), Some("qwen3.5:latest"));
assert_eq!(r.max_turns, Some(12));
assert_eq!(r.spec["target_count"], 2);
}
}
-47
View File
@@ -1,47 +0,0 @@
use serde::Serialize;
use truth::default_truth_store;
// Note: truth_router() was a stub wrapper around a single /context route
// that nothing called — v1/mod.rs wires get(truth::context) directly
// onto its own router. Removed 2026-04-24 along with its #[allow(dead_code)]
// attribute; the handler below is the real surface.
#[derive(Serialize)]
pub struct ContextResponse {
pub task_classes: Vec<String>,
pub rules: Vec<RuleInfo>,
}
#[derive(Serialize)]
pub struct RuleInfo {
pub id: String,
pub task_class: String,
pub description: String,
}
pub async fn context() -> axum::Json<ContextResponse> {
let store = default_truth_store();
let task_classes: Vec<String> = vec![
"staffing.fill".to_string(),
"staffing.rescue".to_string(),
"staffing.sms_draft".to_string(),
"staffing.any".to_string(),
];
let mut rules = Vec::new();
for tc in &task_classes {
for rule in store.get_rules(tc) {
rules.push(RuleInfo {
id: rule.id.clone(),
task_class: rule.task_class.clone(),
description: rule.description.clone(),
});
}
}
axum::Json(ContextResponse {
task_classes,
rules,
})
}
-1
View File
@@ -8,7 +8,6 @@ shared = { path = "../shared" }
storaged = { path = "../storaged" } storaged = { path = "../storaged" }
catalogd = { path = "../catalogd" } catalogd = { path = "../catalogd" }
vectord = { path = "../vectord" } vectord = { path = "../vectord" }
journald = { path = "../journald" }
tokio = { workspace = true } tokio = { workspace = true }
axum = { workspace = true, features = ["multipart"] } axum = { workspace = true, features = ["multipart"] }
lopdf = { workspace = true } lopdf = { workspace = true }
+3 -3
View File
@@ -2,9 +2,10 @@
/// When a source changes format (columns renamed, added, removed, type changed), /// When a source changes format (columns renamed, added, removed, type changed),
/// the system detects the diff and can auto-map using AI or heuristic matching. /// the system detects the diff and can auto-map using AI or heuristic matching.
use arrow::datatypes::{DataType, SchemaRef}; use arrow::datatypes::{DataType, Schema, SchemaRef};
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use std::collections::HashMap; use std::collections::HashMap;
use std::sync::Arc;
/// A detected change between two schema versions. /// A detected change between two schema versions.
#[derive(Debug, Clone, Serialize, Deserialize)] #[derive(Debug, Clone, Serialize, Deserialize)]
@@ -222,8 +223,7 @@ fn find_similar_column<'a>(
#[cfg(test)] #[cfg(test)]
mod tests { mod tests {
use super::*; use super::*;
use arrow::datatypes::{Field, Schema}; use arrow::datatypes::Field;
use std::sync::Arc;
fn schema(fields: Vec<(&str, DataType)>) -> SchemaRef { fn schema(fields: Vec<(&str, DataType)>) -> SchemaRef {
Arc::new(Schema::new( Arc::new(Schema::new(
+1 -127
View File
@@ -3,7 +3,7 @@ use axum::{
extract::{Multipart, Path, Query, State}, extract::{Multipart, Path, Query, State},
http::{HeaderMap, StatusCode}, http::{HeaderMap, StatusCode},
response::IntoResponse, response::IntoResponse,
routing::{get, post}, routing::{delete, get, patch, post},
}; };
use bytes::Bytes; use bytes::Bytes;
use object_store::ObjectStore; use object_store::ObjectStore;
@@ -33,11 +33,6 @@ pub struct IngestState {
/// Scheduled-ingest registry. The scheduler task runs against this /// Scheduled-ingest registry. The scheduler task runs against this
/// store; HTTP CRUD endpoints write through it. /// store; HTTP CRUD endpoints write through it.
pub schedules: schedule::ScheduleStore, pub schedules: schedule::ScheduleStore,
/// Event journal for ADR-012 mutation history. Optional for back-compat
/// with callers (like scheduled ingest tests) that don't wire it yet.
/// When present, successful ingests emit a record_ingest event — closes
/// P9-001 on the file-upload path. (2026-04-23)
pub journal: Option<journald::journal::Journal>,
} }
/// Push `DatasetAppended` triggers for every HNSW index bound to this /// Push `DatasetAppended` triggers for every HNSW index bound to this
@@ -141,22 +136,6 @@ async fn ingest_file(
Ok(result) => { Ok(result) => {
if !result.deduplicated { if !result.deduplicated {
notify_agent_on_append(&state, &result.dataset_name).await; notify_agent_on_append(&state, &result.dataset_name).await;
// P9-001 fix (2026-04-23): emit a mutation event on every
// non-deduplicated ingest. Dedup no-ops don't need events
// (ADR-020 register() is already idempotent on same fingerprint).
if let Some(ref journal) = state.journal {
if let Err(e) = journal.record_ingest(
&result.dataset_name,
result.rows as usize,
"ingest_api",
&filename,
).await {
tracing::warn!(
"journal record_ingest failed for '{}': {}",
result.dataset_name, e,
);
}
}
} }
if result.deduplicated { if result.deduplicated {
Ok((StatusCode::OK, Json(result))) Ok((StatusCode::OK, Json(result)))
@@ -651,108 +630,3 @@ async fn run_schedule_now(
} }
Ok(Json(outcome)) Ok(Json(outcome))
} }
// ─── Tests ───
#[cfg(test)]
mod journal_integration_tests {
//! P9-001 integration test: prove that a successful ingest produces a
//! journal.record_ingest event. Block 2 on PR #10 was "journal event
//! verified live" being unbacked by the diff. This test makes the
//! verification committed and reproducible.
use journald::journal::{Event, Journal};
use object_store::memory::InMemory;
use std::sync::Arc;
// Helper: build a bare Journal against an in-memory object store.
// Flush threshold 1 so every recorded event is persisted immediately.
fn test_journal() -> Journal {
let store: Arc<dyn object_store::ObjectStore> = Arc::new(InMemory::new());
Journal::new(store, 1)
}
#[tokio::test]
async fn journal_record_ingest_increments_counter() {
// Arrange — fresh journal, counter starts at zero.
let journal = test_journal();
let stats0 = journal.stats().await;
assert_eq!(stats0.total_events_created, 0);
assert_eq!(stats0.buffer_events, 0);
// Act — simulate what the /ingest/file success path does.
journal
.record_ingest("test_dataset", 42, "ingest_api", "probe.csv")
.await
.expect("record_ingest should succeed");
// Assert — counter advanced, event exists. With threshold=1 the
// event flushed to store; with threshold>N it would be in-buffer.
let stats1 = journal.stats().await;
assert_eq!(stats1.total_events_created, 1, "counter should reflect one recorded event");
// Assert — the event is retrievable by entity.
let history = journal
.get_entity_history("batch:42")
.await
.expect("history lookup");
assert_eq!(history.len(), 1, "one event should be visible in history");
let ev = &history[0];
assert_eq!(ev.action, "ingest");
assert_eq!(ev.entity_type, "test_dataset");
assert_eq!(ev.actor, "ingest_api");
assert!(
ev.new_value.contains("probe.csv"),
"new_value should carry source filename, got: {}",
ev.new_value
);
}
#[tokio::test]
async fn optional_journal_field_none_is_valid_back_compat() {
// IngestState.journal is Option<Journal>. Back-compat path: when
// the field is None, the ingest handler MUST still succeed — the
// journal call is fire-and-forget, never load-bearing.
//
// This test asserts the type shape: Option<Journal> is what we
// expect. If a refactor makes it mandatory, this test forces an
// explicit re-consideration.
let none_journal: Option<Journal> = None;
assert!(none_journal.is_none());
let some_journal: Option<Journal> = Some(test_journal());
assert!(some_journal.is_some());
}
#[tokio::test]
async fn journal_record_event_fields_match_adr_012_schema() {
// ADR-012 locks the event schema: entity_type, entity_id, field,
// action, old_value, new_value, actor, source, workspace_id plus
// the auto-assigned event_id + timestamp. This test pins the
// field names so a future refactor can't silently drop one.
let journal = test_journal();
let base = Event {
event_id: String::new(),
timestamp: chrono::Utc::now(),
entity_type: "candidate".into(),
entity_id: "CAND-0001".into(),
field: "phone".into(),
action: "update".into(),
old_value: "555-0000".into(),
new_value: "555-9999".into(),
actor: "recruiter".into(),
source: "api".into(),
workspace_id: "ws-x".into(),
};
journal.record(base).await.expect("record should accept full-schema event");
let h = journal
.get_entity_history("CAND-0001")
.await
.expect("lookup");
assert_eq!(h.len(), 1);
assert_eq!(h[0].field, "phone");
assert_eq!(h[0].old_value, "555-0000");
assert_eq!(h[0].new_value, "555-9999");
assert_eq!(h[0].workspace_id, "ws-x");
}
}
+6 -8
View File
@@ -72,14 +72,12 @@ async fn process_inbox(
let path = entry.path(); let path = entry.path();
// Skip directories and hidden files. Bind filename once via // Skip directories and hidden files
// let-else so the subsequent use is unwrap-free — previous if path.is_dir() || path.file_name().map_or(true, |n| n.to_string_lossy().starts_with('.')) {
// version relied on a map_or guard above + an .unwrap() here continue;
// being consistent, which is a fragile invariant. }
if path.is_dir() { continue; }
let Some(fn_os) = path.file_name() else { continue; }; let filename = path.file_name().unwrap().to_string_lossy().to_string();
let filename = fn_os.to_string_lossy().to_string();
if filename.starts_with('.') { continue; }
tracing::info!("watcher: found new file '{}'", filename); tracing::info!("watcher: found new file '{}'", filename);
// Read file // Read file
+1 -1
View File
@@ -5,7 +5,7 @@
/// Storage: events buffer in memory, flush to Parquet periodically. /// Storage: events buffer in memory, flush to Parquet periodically.
/// Query: load Parquet files, filter by entity/field/actor/time. /// Query: load Parquet files, filter by entity/field/actor/time.
use arrow::array::{ArrayRef, RecordBatch, StringArray}; use arrow::array::{ArrayRef, RecordBatch, StringArray, UInt64Array};
use arrow::datatypes::{DataType, Field, Schema}; use arrow::datatypes::{DataType, Field, Schema};
use chrono::{DateTime, Utc}; use chrono::{DateTime, Utc};
use object_store::ObjectStore; use object_store::ObjectStore;
-1
View File
@@ -7,7 +7,6 @@ edition = "2024"
shared = { path = "../shared" } shared = { path = "../shared" }
catalogd = { path = "../catalogd" } catalogd = { path = "../catalogd" }
storaged = { path = "../storaged" } storaged = { path = "../storaged" }
truth = { path = "../truth" }
tokio = { workspace = true } tokio = { workspace = true }
axum = { workspace = true } axum = { workspace = true }
serde = { workspace = true } serde = { workspace = true }
+5 -8
View File
@@ -84,17 +84,14 @@ pub async fn compact(
// Load deltas // Load deltas
let delta_batches = load_deltas(store, dataset_name).await?; let delta_batches = load_deltas(store, dataset_name).await?;
let delta_count = delta_batches.len(); let delta_count = delta_batches.len();
// Row counts captured before extend; previously base_rows subtracted delta_count (files) from rows — unit mismatch.
let base_row_count: usize = base_batches.iter().map(|b| b.num_rows()).sum();
let delta_row_count: usize = delta_batches.iter().map(|b| b.num_rows()).sum();
let has_tombstones = !tombstones.is_empty(); let has_tombstones = !tombstones.is_empty();
let nothing_to_do = delta_batches.is_empty() && !has_tombstones; let nothing_to_do = delta_batches.is_empty() && !has_tombstones;
if nothing_to_do { if nothing_to_do {
return Ok(CompactResult { return Ok(CompactResult {
base_rows: base_row_count, base_rows: base_batches.iter().map(|b| b.num_rows()).sum(),
delta_rows: 0, delta_rows: 0,
final_rows: base_row_count, final_rows: base_batches.iter().map(|b| b.num_rows()).sum(),
deltas_merged: 0, deltas_merged: 0,
tombstones_applied: 0, tombstones_applied: 0,
rows_dropped_by_tombstones: 0, rows_dropped_by_tombstones: 0,
@@ -102,7 +99,7 @@ pub async fn compact(
} }
base_batches.extend(delta_batches); base_batches.extend(delta_batches);
let pre_filter_rows: usize = base_row_count + delta_row_count; let pre_filter_rows: usize = base_batches.iter().map(|b| b.num_rows()).sum();
// If primary key specified, deduplicate (keep last occurrence) // If primary key specified, deduplicate (keep last occurrence)
let merged_batches = if let Some(_pk) = primary_key_col { let merged_batches = if let Some(_pk) = primary_key_col {
@@ -186,8 +183,8 @@ pub async fn compact(
); );
Ok(CompactResult { Ok(CompactResult {
base_rows: base_row_count, base_rows: pre_filter_rows - delta_count, // rough base-before-deltas
delta_rows: delta_row_count, delta_rows: delta_count,
final_rows, final_rows,
deltas_merged: delta_count, deltas_merged: delta_count,
tombstones_applied: tombstones.len(), tombstones_applied: tombstones.len(),
+1 -119
View File
@@ -9,9 +9,7 @@ use axum::{
}; };
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use std::sync::Arc; use crate::cache::CacheStats;
use truth::{RuleAction, TruthStore};
use crate::context::QueryEngine; use crate::context::QueryEngine;
use crate::delta; use crate::delta;
use crate::paged::ResultStore; use crate::paged::ResultStore;
@@ -20,26 +18,12 @@ use crate::paged::ResultStore;
pub struct QueryState { pub struct QueryState {
pub engine: QueryEngine, pub engine: QueryEngine,
pub result_store: ResultStore, pub result_store: ResultStore,
// Policy gate for incoming SQL. Every /sql and /paged request is
// evaluated against this store before hitting DataFusion. Added for
// P42-002 ("raw SQL forwarded without schema or policy gate") after
// the scrum master's queryd/service.rs finding looped across iters
// 3-5 without ever being reachable by the 6-line auto-applier.
pub truth: Arc<TruthStore>,
} }
pub fn router(engine: QueryEngine) -> Router { pub fn router(engine: QueryEngine) -> Router {
router_with_truth(engine, Arc::new(truth::sql_query_guard_store()))
}
/// Test/integration hook: construct the router with a caller-supplied
/// TruthStore so tests can assert reject/pass behavior deterministically
/// without depending on the default needle list.
pub fn router_with_truth(engine: QueryEngine, truth: Arc<TruthStore>) -> Router {
let state = QueryState { let state = QueryState {
engine: engine.clone(), engine: engine.clone(),
result_store: ResultStore::new(100, 50), // 100 rows/page, keep 50 results result_store: ResultStore::new(100, 50), // 100 rows/page, keep 50 results
truth,
}; };
Router::new() Router::new()
.route("/health", get(health)) .route("/health", get(health))
@@ -69,11 +53,6 @@ struct QueryResponse {
columns: Vec<ColumnInfo>, columns: Vec<ColumnInfo>,
rows: serde_json::Value, rows: serde_json::Value,
row_count: usize, row_count: usize,
// Elapsed wall time from handler entry to response. Required for
// audit-log parity — gateway's audit row previously stored null here.
// Scrum iter 9 finding, populated from std::time::Instant captured
// at the top of execute_query / paged_query.
latency_ms: u64,
} }
#[derive(Serialize)] #[derive(Serialize)]
@@ -93,41 +72,12 @@ fn batches_to_json(batches: &[RecordBatch]) -> Result<serde_json::Value, String>
serde_json::from_slice(&buf).map_err(|e| format!("JSON parse error: {e}")) serde_json::from_slice(&buf).map_err(|e| format!("JSON parse error: {e}"))
} }
/// Evaluate the request SQL against the configured TruthStore. Returns
/// the Reject/Block message on the first failing mandatory rule so the
/// handler can short-circuit. Returns None when all rules pass (or when
/// the failures' declared action is non-mandatory like Redact/Pass).
fn sql_policy_check(truth: &TruthStore, sql: &str) -> Option<String> {
let ctx = serde_json::json!({ "sql": sql });
for outcome in truth.evaluate("sql_query", &ctx) {
if !outcome.passed {
// FieldEmpty / FieldContainsAny etc. are enforced only when
// condition HOLDS (i.e. passed=true). Below means "passed=false",
// so the rule condition did not hold — no enforcement.
continue;
}
match &outcome.action {
RuleAction::Reject { message } | RuleAction::Block { message } => {
return Some(message.clone());
}
_ => {}
}
}
None
}
async fn execute_query( async fn execute_query(
State(state): State<QueryState>, State(state): State<QueryState>,
Json(req): Json<QueryRequest>, Json(req): Json<QueryRequest>,
) -> impl IntoResponse { ) -> impl IntoResponse {
let started = std::time::Instant::now();
tracing::info!("executing query: {}", req.sql); tracing::info!("executing query: {}", req.sql);
if let Some(reason) = sql_policy_check(&state.truth, &req.sql) {
tracing::warn!("sql rejected by truth gate: {reason}");
return Err((StatusCode::FORBIDDEN, reason));
}
match state.engine.query(&req.sql).await { match state.engine.query(&req.sql).await {
Ok(batches) => { Ok(batches) => {
if batches.is_empty() { if batches.is_empty() {
@@ -135,7 +85,6 @@ async fn execute_query(
columns: vec![], columns: vec![],
rows: serde_json::Value::Array(vec![]), rows: serde_json::Value::Array(vec![]),
row_count: 0, row_count: 0,
latency_ms: started.elapsed().as_millis() as u64,
})); }));
} }
@@ -154,7 +103,6 @@ async fn execute_query(
columns, columns,
rows, rows,
row_count, row_count,
latency_ms: started.elapsed().as_millis() as u64,
})) }))
} }
Err(e) => Err((StatusCode::BAD_REQUEST, e)), Err(e) => Err((StatusCode::BAD_REQUEST, e)),
@@ -168,10 +116,6 @@ async fn paged_query(
Json(req): Json<QueryRequest>, Json(req): Json<QueryRequest>,
) -> impl IntoResponse { ) -> impl IntoResponse {
tracing::info!("paged query: {}", req.sql); tracing::info!("paged query: {}", req.sql);
if let Some(reason) = sql_policy_check(&state.truth, &req.sql) {
tracing::warn!("paged sql rejected by truth gate: {reason}");
return Err((StatusCode::FORBIDDEN, reason));
}
match state.result_store.execute_and_store(&state.engine, &req.sql).await { match state.result_store.execute_and_store(&state.engine, &req.sql).await {
Ok(handle) => Ok(Json(handle)), Ok(handle) => Ok(Json(handle)),
Err(e) => Err((StatusCode::BAD_REQUEST, e)), Err(e) => Err((StatusCode::BAD_REQUEST, e)),
@@ -268,65 +212,3 @@ async fn compact_dataset(
Err(e) => Err((StatusCode::INTERNAL_SERVER_ERROR, e)), Err(e) => Err((StatusCode::INTERNAL_SERVER_ERROR, e)),
} }
} }
#[cfg(test)]
mod sql_policy_tests {
use super::*;
use truth::sql_query_guard_store;
// These tests exercise the policy gate without spinning up a DataFusion
// engine — they only need `TruthStore`. Purpose: prove the P42-002
// enforcement point actually rejects destructive SQL. This is the
// regression guard for the queryd/service.rs finding that looped
// across scrum iters 3-5.
#[test]
fn blocks_drop_table() {
let store = sql_query_guard_store();
let reason = sql_policy_check(&store, "DROP TABLE users").expect("must reject");
assert!(reason.contains("destructive"), "reason: {reason}");
}
#[test]
fn blocks_delete_from() {
let store = sql_query_guard_store();
assert!(sql_policy_check(&store, "delete from t where 1=1").is_some());
}
#[test]
fn blocks_truncate() {
let store = sql_query_guard_store();
assert!(sql_policy_check(&store, "TRUNCATE workers").is_some());
}
#[test]
fn blocks_empty_sql() {
let store = sql_query_guard_store();
assert!(sql_policy_check(&store, "").is_some());
}
#[test]
fn allows_benign_select() {
let store = sql_query_guard_store();
assert!(sql_policy_check(&store, "SELECT count(*) FROM workers").is_none());
}
#[test]
fn allows_select_with_deleted_word_in_column() {
// Substring match is narrow ("delete from", not "delete"), so a
// column named `deleted_at` doesn't trip the guard. Important
// check — false positives on benign queries would make the gate
// unusable in practice.
let store = sql_query_guard_store();
assert!(
sql_policy_check(&store, "SELECT deleted_at FROM t").is_none(),
"column names containing 'delete' must not be rejected"
);
}
#[test]
fn case_insensitive_match_catches_mixed_case() {
let store = sql_query_guard_store();
assert!(sql_policy_check(&store, "Drop Table X").is_some());
}
}
+3
View File
@@ -2,12 +2,15 @@
/// Each workspace tracks an agent's activity on a specific contract or search, /// Each workspace tracks an agent's activity on a specific contract or search,
/// with daily/weekly/monthly tiers and instant handoff capability. /// with daily/weekly/monthly tiers and instant handoff capability.
use arrow::array::{ArrayRef, RecordBatch, StringArray, Int64Array};
use arrow::datatypes::{DataType, Field, Schema};
use chrono::{DateTime, Utc}; use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use std::collections::HashMap; use std::collections::HashMap;
use std::sync::Arc; use std::sync::Arc;
use tokio::sync::RwLock; use tokio::sync::RwLock;
use crate::delta;
use object_store::ObjectStore; use object_store::ObjectStore;
/// Retention tier for workspace data. /// Retention tier for workspace data.
-2
View File
@@ -4,5 +4,3 @@ pub mod arrow_helpers;
pub mod config; pub mod config;
pub mod pii; pub mod pii;
pub mod secrets; pub mod secrets;
pub mod model_matrix;
pub mod profiles;
-69
View File
@@ -1,69 +0,0 @@
//! Per-model token accounting. Entry point for the ModelMatrix work
//! the aibridge `context::estimate_tokens` deprecation has been pointing
//! at. Starts minimal — just `estimate_tokens` — so call sites can
//! migrate off the deprecated helper. Extend with per-model context
//! windows, max_tokens defaults, provider hints, etc. as we move the
//! rest of `aibridge::context::known_windows` over.
/// Namespace for per-model token + context accounting. Methods are
/// associated functions — no instance required — because the underlying
/// estimates are deterministic and stateless.
pub struct ModelMatrix;
impl ModelMatrix {
/// Rough token count — char count divided by 4, rounded up. This
/// is the same heuristic OpenAI's cookbook uses for English text;
/// it's within ±15% of BPE tokenizers for code + prose and doesn't
/// require a tokenizer lookup. Good enough for budget math where
/// the goal is "don't blow the context window" rather than exact
/// billing.
///
/// Moved from `aibridge::context::estimate_tokens` (still there with
/// a `#[deprecated]` pointer — callers should migrate here). Empty
/// string → 0; one char → 1 (ceiling of 1/4 = 1).
pub fn estimate_tokens(text: &str) -> usize {
(text.chars().count() + 3) / 4
}
}
#[cfg(test)]
mod tests {
use super::ModelMatrix;
#[test]
fn empty_string_is_zero_tokens() {
assert_eq!(ModelMatrix::estimate_tokens(""), 0);
}
#[test]
fn three_chars_is_one_token() {
// 3 → ceil(3/4) = 1. Matches the deprecated helper's behavior
// so the migration is a drop-in replacement.
assert_eq!(ModelMatrix::estimate_tokens("abc"), 1);
}
#[test]
fn four_chars_is_one_token() {
assert_eq!(ModelMatrix::estimate_tokens("abcd"), 1);
}
#[test]
fn five_chars_is_two_tokens() {
assert_eq!(ModelMatrix::estimate_tokens("abcde"), 2);
}
#[test]
fn counts_chars_not_bytes() {
// Multi-byte UTF-8 chars count as 1 char each — important for
// prompts with emoji or non-ASCII text. "héllo" is 5 chars
// (5 unicode scalars) → ceil(5/4) = 2 tokens, same as "hello".
assert_eq!(ModelMatrix::estimate_tokens("héllo"), 2);
assert_eq!(ModelMatrix::estimate_tokens("📚📚📚📚"), 1); // 4 chars
}
#[test]
fn large_text_scales_linearly() {
assert_eq!(ModelMatrix::estimate_tokens(&"x".repeat(400)), 100);
assert_eq!(ModelMatrix::estimate_tokens(&"x".repeat(401)), 101);
}
}
-14
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@@ -1,14 +0,0 @@
//! ExecutionProfile — the Phase 41 rename of Phase 17's ModelProfile.
//!
//! Carries what's needed to RUN inference: model tag, dataset bindings,
//! HNSW config, embed model, bucket binding. Today this is a type
//! alias over `crate::types::ModelProfile` — the PRD's
//! "Backward compat: ModelProfile still loads, aliased to
//! ExecutionProfile" line, honored literally.
//!
//! When the migration off the old name finishes, this file can either
//! absorb the full struct definition or continue as an alias. Callers
//! should reference `ExecutionProfile` going forward; `ModelProfile`
//! stays exported from `types` for on-disk schema compat.
pub use crate::types::ModelProfile as ExecutionProfile;
-38
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@@ -1,38 +0,0 @@
//! MemoryProfile — how the agent's execution memory is kept.
//!
//! Phase 41 decomposition: the Phase 19 playbook_memory + Phase 26
//! successful_playbooks + Phase 45 doc_refs all need per-profile
//! tuning. Rather than bolt those onto ExecutionProfile, they live
//! here so a "thin" execution profile can reuse a "fat" memory
//! profile and vice versa.
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug, Serialize, Deserialize)]
pub struct MemoryProfile {
pub id: String,
#[serde(default)]
pub description: String,
/// Phase 19: ceiling for playbook_memory boost on retrieval. 0
/// disables the boost entirely.
#[serde(default = "default_boost_ceiling")]
pub playbook_boost_ceiling: f32,
/// Phase 26: max history entries retained before rotation.
#[serde(default = "default_history_cap")]
pub history_cap: usize,
/// Phase 45: stale threshold for doc_refs before drift check
/// fires (hours).
#[serde(default = "default_stale_hours")]
pub doc_stale_hours: u32,
/// Phase 28: auto-retire playbooks that fail 3+ consecutive runs.
#[serde(default = "default_true")]
pub auto_retire_on_failure: bool,
pub created_at: chrono::DateTime<chrono::Utc>,
#[serde(default)]
pub created_by: String,
}
fn default_boost_ceiling() -> f32 { 0.35 }
fn default_history_cap() -> usize { 1000 }
fn default_stale_hours() -> u32 { 168 } // one week
fn default_true() -> bool { true }
-28
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@@ -1,28 +0,0 @@
//! Phase 41 profile types.
//!
//! The existing `ModelProfile` (Phase 17) is aliased as
//! `ExecutionProfile` here — it continues to carry the model +
//! bindings + HNSW config needed to run inference. Three new profile
//! types land alongside: `RetrievalProfile`, `MemoryProfile`,
//! `ObserverProfile` — each owns a distinct slice of what used to be
//! bundled.
//!
//! Backward-compat rule (PRD Phase 41): existing `ModelProfile` on
//! disk continues to deserialize unchanged. New fields on the new
//! profile types are `#[serde(default)]` so old payloads load with
//! empty defaults.
//!
//! These are the canonical shapes — downstream code converts via
//! `From<ModelProfile> for ExecutionProfile` (they're the same struct
//! today, just named differently) and constructs the other three
//! as needed.
pub mod execution;
pub mod retrieval;
pub mod memory;
pub mod observer;
pub use execution::ExecutionProfile;
pub use memory::MemoryProfile;
pub use observer::ObserverProfile;
pub use retrieval::RetrievalProfile;
-38
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@@ -1,38 +0,0 @@
//! ObserverProfile — how loudly the observer logs this workload.
//!
//! Phase 41 decomposition: the observer's alert thresholds, escalation
//! cadence, and log retention need per-workload tuning. Hot-path
//! staffing workflows want aggressive alerting; batch backfills want
//! quieter. This profile is read by mcp-server/observer.ts at
//! activation-time.
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug, Serialize, Deserialize)]
pub struct ObserverProfile {
pub id: String,
#[serde(default)]
pub description: String,
/// How many consecutive failures trigger a cluster escalation to
/// LLM Team `/v1/chat` (qwen3-coder:480b).
#[serde(default = "default_failure_cluster_size")]
pub failure_cluster_size: u32,
/// Minimum seconds between alert emails for the same sig_hash.
/// Prevents alert storms during a regression.
#[serde(default = "default_alert_cooldown")]
pub alert_cooldown_secs: u32,
/// Observer ring buffer size. Older events fall off when full.
#[serde(default = "default_ring_size")]
pub ring_size: usize,
/// Whether to forward events to external Langfuse
/// (/v1/langfuse_trace). Off by default.
#[serde(default)]
pub forward_to_langfuse: bool,
pub created_at: chrono::DateTime<chrono::Utc>,
#[serde(default)]
pub created_by: String,
}
fn default_failure_cluster_size() -> u32 { 3 }
fn default_alert_cooldown() -> u32 { 300 } // 5 minutes
fn default_ring_size() -> usize { 2000 }
-52
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@@ -1,52 +0,0 @@
//! RetrievalProfile — what + how the agent reaches into memory.
//!
//! Phase 41 decomposition: the old ModelProfile bundled "what dataset
//! can I read" (bound_datasets) AND "how do I rank results"
//! (hnsw_config) with the model tag. Retrieval concerns split out here
//! so a profile can swap its retrieval strategy without re-activating
//! the model.
//!
//! Fields chosen for what's actually varied per-workload today:
//! - `top_k` / `rerank_top_k` — how many hits to fetch + rerank
//! - `freshness_cutoff_days` — Phase 45 doc-drift uses this
//! - `boost_playbook_memory` — Phase 19 meta-index feedback
//! - `enforce_sensitivity_gates` — Phase 13 access-control integration
//!
//! All fields are `#[serde(default)]` so loading a profile file that
//! predates Phase 41 works without migration.
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug, Serialize, Deserialize)]
pub struct RetrievalProfile {
/// Unique id — slug form, separate namespace from ExecutionProfile.
pub id: String,
/// Free-text operator description.
#[serde(default)]
pub description: String,
/// Default top-K for /vectors/search + /vectors/hybrid.
#[serde(default = "default_top_k")]
pub top_k: u32,
/// How many of the top-K to pass through the reranker. 0 disables
/// reranking for this profile.
#[serde(default = "default_rerank_top_k")]
pub rerank_top_k: u32,
/// Don't consider playbooks / docs older than this (days). 0 or
/// absent = no freshness filter.
#[serde(default)]
pub freshness_cutoff_days: u32,
/// Phase 19: boost workers/results by playbook_memory similarity.
#[serde(default)]
pub boost_playbook_memory: bool,
/// Phase 13: apply access-control masking on sensitive columns.
/// Default on — safety-first.
#[serde(default = "default_true")]
pub enforce_sensitivity_gates: bool,
pub created_at: chrono::DateTime<chrono::Utc>,
#[serde(default)]
pub created_by: String,
}
fn default_top_k() -> u32 { 10 }
fn default_rerank_top_k() -> u32 { 5 }
fn default_true() -> bool { true }
-14
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@@ -269,20 +269,6 @@ pub struct ModelProfile {
/// / 5M+ vector workloads. /// / 5M+ vector workloads.
#[serde(default)] #[serde(default)]
pub vector_backend: VectorBackend, pub vector_backend: VectorBackend,
/// Phase 41: Profile type for routing + activation behavior.
/// Default Execution for backward compatibility.
#[serde(default)]
pub profile_type: ProfileType,
}
#[derive(Debug, Clone, Copy, PartialEq, Serialize, Deserialize, Default)]
#[serde(rename_all = "snake_case")]
pub enum ProfileType {
#[default]
Execution,
Retrieval,
Memory,
Observer,
} }
fn default_embed_model() -> String { "nomic-embed-text".to_string() } fn default_embed_model() -> String { "nomic-embed-text".to_string() }
-11
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@@ -1,11 +0,0 @@
[package]
name = "truth"
version = "0.1.0"
edition = "2024"
[dependencies]
serde = { workspace = true }
serde_json = { workspace = true }
tokio = { workspace = true }
tracing = { workspace = true }
toml = { workspace = true }
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@@ -1,49 +0,0 @@
//! DevOps task-class rules — scaffold for the long-horizon phase.
//!
//! Phase 42 PRD: "Terraform/Ansible rule shapes are scaffolded but
//! unpopulated until the long-horizon phase. Keeps the dispatcher
//! signature stable so no refactor needed later."
//!
//! This module is intentionally minimal. It registers no rules yet.
//! The `devops_rules` function exists so callers can compose it onto
//! a store (e.g. `devops_rules(staffing_rules(TruthStore::new()))`)
//! without branching on whether the DevOps phase has landed.
//!
//! When the long-horizon phase fleshes out the DevOps rule set, the
//! implementations drop in here — same `RuleCondition` primitives, same
//! `TruthStore::evaluate` contract, zero upstream refactor.
use crate::TruthStore;
/// Register DevOps rules on the store. Currently a no-op scaffold —
/// no rules are added. Safe to compose with other rule-set functions.
///
/// Planned task classes (not yet populated):
/// - `devops.terraform_plan` — `terraform validate` + pre-plan
/// sanity checks (no destroys without confirm flag, etc.)
/// - `devops.ansible_playbook` — `ansible-lint` + privileged-task
/// gates (no `become: true` on untagged hosts)
/// - `devops.shell_command` — whitelist / blocklist for
/// AI-generated shell invocations (covers what Phase 42
/// queryd SQL gate does for SQL — same idea, shell surface)
pub fn devops_rules(store: TruthStore) -> TruthStore {
// Intentionally empty. See module-level doc for the phased rollout.
store
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn devops_rules_is_a_noop_for_now() {
// Scaffold guarantee: composing devops_rules onto an empty
// store must not add any rules. Future long-horizon work will
// populate this and the assertion shifts to counting the
// expected additions.
let store = devops_rules(TruthStore::new());
assert_eq!(store.get_rules("devops.terraform_plan").len(), 0);
assert_eq!(store.get_rules("devops.ansible_playbook").len(), 0);
assert_eq!(store.get_rules("devops.shell_command").len(), 0);
}
}
-610
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@@ -1,610 +0,0 @@
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
pub mod staffing;
pub mod devops;
pub mod loader;
#[derive(Clone, Debug, Serialize, Deserialize)]
pub struct TruthRule {
pub id: String,
pub task_class: String,
pub description: String,
pub condition: RuleCondition,
pub action: RuleAction,
}
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
#[serde(tag = "type")]
pub enum RuleCondition {
Always,
FieldEquals { field: String, value: String },
FieldMismatch { field: String, value: String },
FieldEmpty { field: String },
FieldGreater { field: String, threshold: i64 },
// Case-insensitive substring scan — true if the field value contains
// ANY of `needles`. Added for SQL/command guards where rules of the
// form "sql must not contain DROP/DELETE/TRUNCATE" need to express
// enforcement as a passing precondition being absent.
FieldContainsAny { field: String, needles: Vec<String> },
}
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
#[serde(tag = "type")]
pub enum RuleAction {
Pass,
Reject { message: String },
Redact { fields: Vec<String> },
Block { message: String },
}
#[derive(Default)]
pub struct TruthStore {
rules: HashMap<String, Vec<TruthRule>>,
}
impl TruthStore {
pub fn new() -> Self {
Self::default()
}
pub fn add_rule(&mut self, rule: TruthRule) {
self.rules
.entry(rule.task_class.clone())
.or_default()
.push(rule);
}
/// All rule IDs across every task class. Used by the file loader
/// to detect duplicate-ID collisions before registering new rules.
pub fn all_rule_ids(&self) -> std::collections::HashSet<String> {
self.rules
.values()
.flat_map(|v| v.iter().map(|r| r.id.clone()))
.collect()
}
pub fn get_rules(&self, task_class: &str) -> Vec<&TruthRule> {
self.rules
.get(task_class)
.map(|v| v.iter().collect())
.unwrap_or_default()
}
/// Legacy API: returns the list of actions registered for a task class
/// without evaluating conditions. Retained for backward compatibility
/// with callers that only want the action catalog. New callers should
/// prefer `evaluate()`, which actually walks `RuleCondition` against
/// a context and reports per-rule pass/fail.
pub fn check(&self, task_class: &str) -> Vec<RuleAction> {
let rules = self.get_rules(task_class);
rules
.into_iter()
.map(|r| r.action.clone())
.collect()
}
/// Evaluate every rule registered for `task_class` against `ctx`,
/// returning one `RuleOutcome` per rule. `passed = true` means the
/// rule's `condition` held; the rule's action is still attached so
/// callers can distinguish "passed and therefore no-op" (RuleAction::Pass)
/// from "passed and apply Redact". `passed = false` means the condition
/// failed — callers should treat the attached action as the enforcement
/// response (Reject/Block).
///
/// Fixed P42-001 (2026-04-23): previously `check()` returned all actions
/// unconditionally — the `RuleCondition` field was ignored. Now every
/// rule is actually walked against the provided context.
pub fn evaluate(&self, task_class: &str, ctx: &serde_json::Value) -> Vec<RuleOutcome> {
self.get_rules(task_class)
.into_iter()
.map(|r| RuleOutcome {
rule_id: r.id.clone(),
passed: evaluate_condition(&r.condition, ctx),
action: r.action.clone(),
})
.collect()
}
}
/// Result of evaluating one rule against a context. `passed` reports
/// whether the condition held; `action` is the rule's declared action
/// regardless (callers decide how to apply it based on `passed`).
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
pub struct RuleOutcome {
pub rule_id: String,
pub passed: bool,
pub action: RuleAction,
}
fn evaluate_condition(cond: &RuleCondition, ctx: &serde_json::Value) -> bool {
match cond {
RuleCondition::Always => true,
RuleCondition::FieldEquals { field, value } => {
field_as_string(ctx, field)
.map(|s| s == *value)
.unwrap_or(false)
}
RuleCondition::FieldMismatch { field, value } => {
field_as_string(ctx, field)
.map(|s| s != *value)
.unwrap_or(false)
}
RuleCondition::FieldEmpty { field } => {
match lookup(ctx, field) {
None => true,
Some(v) => v.is_null() || v.as_str().map(|s| s.is_empty()).unwrap_or(false),
}
}
RuleCondition::FieldGreater { field, threshold } => {
lookup(ctx, field)
.and_then(|v| v.as_i64().or_else(|| v.as_f64().map(|f| f as i64)))
.map(|n| n > *threshold)
.unwrap_or(false)
}
RuleCondition::FieldContainsAny { field, needles } => {
match field_as_string(ctx, field) {
None => false,
Some(s) => {
let haystack = s.to_ascii_lowercase();
needles.iter().any(|n| haystack.contains(&n.to_ascii_lowercase()))
}
}
}
}
}
/// Walk a dot-separated path through a serde_json::Value. `"worker.status"`
/// → `ctx["worker"]["status"]`. Returns None if any segment is missing or
/// a non-object is encountered mid-path.
fn lookup<'a>(ctx: &'a serde_json::Value, path: &str) -> Option<&'a serde_json::Value> {
let mut cur = ctx;
for seg in path.split('.') {
cur = cur.get(seg)?;
}
Some(cur)
}
fn field_as_string(ctx: &serde_json::Value, path: &str) -> Option<String> {
lookup(ctx, path).and_then(|v| match v {
serde_json::Value::String(s) => Some(s.clone()),
serde_json::Value::Bool(b) => Some(b.to_string()),
serde_json::Value::Number(n) => Some(n.to_string()),
_ => None,
})
}
/// Minimal SQL guard — rejects destructive verbs (DROP/TRUNCATE/DELETE).
/// queryd/src/service.rs loads this into its `QueryState` and evaluates
/// every `/sql` request against it before hitting the DataFusion engine.
/// This is the P42-002 enforcement point flagged across scrum iters 3-5
/// ("raw SQL forwarded without schema or policy gate").
///
/// Intentionally narrow: it's a safety net, not a full SQL parser. If
/// callers need richer AST-aware enforcement they should extend this with
/// structured rules rather than new needles.
pub fn sql_query_guard_store() -> TruthStore {
let mut store = TruthStore::new();
store.add_rule(TruthRule {
id: "no-destructive-sql".to_string(),
task_class: "sql_query".to_string(),
description: "SQL must not contain destructive verbs".to_string(),
condition: RuleCondition::FieldContainsAny {
field: "sql".to_string(),
needles: vec![
"drop table".to_string(),
"drop schema".to_string(),
"drop database".to_string(),
"truncate".to_string(),
"delete from".to_string(),
],
},
action: RuleAction::Reject {
message: "destructive SQL rejected by truth.sql_query_guard".to_string(),
},
});
store.add_rule(TruthRule {
id: "sql-not-empty".to_string(),
task_class: "sql_query".to_string(),
description: "SQL must not be empty".to_string(),
condition: RuleCondition::FieldEmpty {
field: "sql".to_string(),
},
action: RuleAction::Reject {
message: "empty SQL rejected".to_string(),
},
});
store
}
/// Phase 42 default store: staffing rules + DevOps scaffold composed
/// onto an empty TruthStore. Per the PRD: "Staffing rules ship first;
/// Terraform/Ansible rule shapes are scaffolded but unpopulated until
/// the long-horizon phase." The composition order is irrelevant here
/// (DevOps is empty) but preserved so the shape matches the PRD's
/// expected "compose on top" pattern.
///
/// Moved out of inline in-function rule registration (2026-04-24) to
/// land the Phase 42 module split the PRD called for: `staffing.rs` +
/// `devops.rs` each owns their task-class rule sets. Behavior unchanged
/// for existing callers.
pub fn default_truth_store() -> TruthStore {
devops::devops_rules(staffing::staffing_rules(TruthStore::new()))
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn truth_store_new_is_empty() {
let store = TruthStore::new();
assert!(store.rules.is_empty());
}
#[test]
fn add_rule_inserts_into_correct_task_class() {
let mut store = TruthStore::new();
store.add_rule(TruthRule {
id: "test-rule".to_string(),
task_class: "test.task".to_string(),
description: "Test rule".to_string(),
condition: RuleCondition::Always,
action: RuleAction::Pass,
});
let rules = store.get_rules("test.task");
assert_eq!(rules.len(), 1);
assert_eq!(rules[0].id, "test-rule");
}
#[test]
fn get_rules_returns_empty_for_unknown_class() {
let store = TruthStore::new();
let rules = store.get_rules("unknown.class");
assert!(rules.is_empty());
}
#[test]
fn check_returns_actions_for_task_class() {
let mut store = TruthStore::new();
store.add_rule(TruthRule {
id: "a1".to_string(),
task_class: "test".to_string(),
description: "A1".to_string(),
condition: RuleCondition::Always,
action: RuleAction::Pass,
});
store.add_rule(TruthRule {
id: "a2".to_string(),
task_class: "test".to_string(),
description: "A2".to_string(),
condition: RuleCondition::Always,
action: RuleAction::Reject {
message: "test reject".to_string(),
},
});
let actions = store.check("test");
assert_eq!(actions.len(), 2);
}
#[test]
fn rule_condition_serialize_always() {
let cond = RuleCondition::Always;
let json = serde_json::to_string(&cond).unwrap();
assert!(json.contains(r#""type":"Always"#));
}
#[test]
fn rule_condition_serialize_field_equals() {
let cond = RuleCondition::FieldEquals {
field: "foo".to_string(),
value: "bar".to_string(),
};
let json = serde_json::to_string(&cond).unwrap();
assert!(json.contains(r#""type":"FieldEquals""#));
assert!(json.contains(r#""field":"foo""#));
assert!(json.contains(r#""value":"bar""#));
}
#[test]
fn rule_action_serialize_redact() {
let action = RuleAction::Redact {
fields: vec!["ssn".to_string()],
};
let json = serde_json::to_string(&action).unwrap();
assert!(json.contains(r#""type":"Redact""#));
assert!(json.contains("ssn"));
}
#[test]
fn rule_action_serialize_reject() {
let action = RuleAction::Reject {
message: "test".to_string(),
};
let json = serde_json::to_string(&action).unwrap();
assert!(json.contains(r#""type":"Reject""#));
}
#[test]
fn default_truth_store_has_staffing_rules() {
let store = default_truth_store();
let fill_rules = store.get_rules("staffing.fill");
assert!(!fill_rules.is_empty());
let any_rules = store.get_rules("staffing.any");
assert!(!any_rules.is_empty());
}
#[test]
fn multiple_rules_same_task_class() {
let mut store = TruthStore::new();
for i in 0..5 {
store.add_rule(TruthRule {
id: format!("rule-{}", i),
task_class: "test".to_string(),
description: format!("Rule {}", i),
condition: RuleCondition::Always,
action: RuleAction::Pass,
});
}
let rules = store.get_rules("test");
assert_eq!(rules.len(), 5);
}
#[test]
fn truth_rule_clone_preserves_data() {
let rule = TruthRule {
id: "clone-test".to_string(),
task_class: "clone.task".to_string(),
description: "Clone test".to_string(),
condition: RuleCondition::FieldEquals {
field: "x".to_string(),
value: "y".to_string(),
},
action: RuleAction::Block {
message: "blocked".to_string(),
},
};
let cloned = rule.clone();
assert_eq!(cloned.id, rule.id);
assert_eq!(cloned.condition, rule.condition);
assert_eq!(cloned.action, rule.action);
}
#[test]
fn field_greater_condition_parse() {
let json = r#"{"type":"FieldGreater","field":"count","threshold":10}"#;
let cond: RuleCondition = serde_json::from_str(json).unwrap();
match cond {
RuleCondition::FieldGreater { field, threshold } => {
assert_eq!(field, "count");
assert_eq!(threshold, 10);
}
_ => panic!("Expected FieldGreater"),
}
}
#[test]
fn block_action_blocks_with_message() {
let action = RuleAction::Block {
message: "Rate limited".to_string(),
};
let json = serde_json::to_string(&action).unwrap();
assert!(json.contains("Rate limited"));
}
#[test]
fn empty_store_check_returns_empty() {
let store = TruthStore::new();
let actions = store.check("empty.class");
assert!(actions.is_empty());
}
// ── P42-001 evaluate() tests — actually walk RuleCondition ──
fn fill_store() -> TruthStore {
let mut s = TruthStore::new();
s.add_rule(TruthRule {
id: "active".into(),
task_class: "t".into(),
description: "must be active".into(),
condition: RuleCondition::FieldEquals {
field: "worker.status".into(),
value: "active".into(),
},
action: RuleAction::Reject {
message: "worker not active".into(),
},
});
s.add_rule(TruthRule {
id: "deadline".into(),
task_class: "t".into(),
description: "deadline required".into(),
condition: RuleCondition::FieldEmpty {
field: "contract.deadline".into(),
},
action: RuleAction::Reject {
message: "missing deadline".into(),
},
});
s.add_rule(TruthRule {
id: "budget".into(),
task_class: "t".into(),
description: "budget positive".into(),
condition: RuleCondition::FieldGreater {
field: "contract.budget".into(),
threshold: 0,
},
action: RuleAction::Block {
message: "budget must be positive".into(),
},
});
s
}
#[test]
fn evaluate_field_equals_pass_on_match() {
let s = fill_store();
let ctx = serde_json::json!({"worker": {"status": "active"}});
let o = s.evaluate("t", &ctx);
let active = o.iter().find(|r| r.rule_id == "active").unwrap();
assert!(active.passed, "active condition should hold");
}
#[test]
fn evaluate_field_equals_fail_on_mismatch() {
let s = fill_store();
let ctx = serde_json::json!({"worker": {"status": "terminated"}});
let o = s.evaluate("t", &ctx);
let active = o.iter().find(|r| r.rule_id == "active").unwrap();
assert!(!active.passed, "terminated should fail active condition");
}
#[test]
fn evaluate_field_equals_fail_on_missing() {
let s = fill_store();
let ctx = serde_json::json!({});
let o = s.evaluate("t", &ctx);
let active = o.iter().find(|r| r.rule_id == "active").unwrap();
assert!(!active.passed, "missing worker.status should fail");
}
#[test]
fn evaluate_field_empty_pass_when_absent() {
let s = fill_store();
// FieldEmpty passes when the field is missing/null/empty string.
// Deadline rule says "field empty means action fires" — so passed=true
// here means the rule's condition held (deadline IS empty).
let ctx = serde_json::json!({});
let o = s.evaluate("t", &ctx);
let deadline = o.iter().find(|r| r.rule_id == "deadline").unwrap();
assert!(deadline.passed);
}
#[test]
fn evaluate_field_empty_fail_when_present() {
let s = fill_store();
let ctx = serde_json::json!({"contract": {"deadline": "2026-05-01"}});
let o = s.evaluate("t", &ctx);
let deadline = o.iter().find(|r| r.rule_id == "deadline").unwrap();
assert!(!deadline.passed, "non-empty deadline should fail FieldEmpty check");
}
#[test]
fn evaluate_field_greater_pass_and_fail() {
let s = fill_store();
let ctx_ok = serde_json::json!({"contract": {"budget": 100}});
let ctx_bad = serde_json::json!({"contract": {"budget": 0}});
let ok = s.evaluate("t", &ctx_ok);
let bad = s.evaluate("t", &ctx_bad);
assert!(ok.iter().find(|r| r.rule_id == "budget").unwrap().passed);
assert!(!bad.iter().find(|r| r.rule_id == "budget").unwrap().passed);
}
#[test]
fn evaluate_always_condition_passes_unconditionally() {
let mut s = TruthStore::new();
s.add_rule(TruthRule {
id: "always".into(),
task_class: "x".into(),
description: "".into(),
condition: RuleCondition::Always,
action: RuleAction::Pass,
});
let o = s.evaluate("x", &serde_json::json!(null));
assert!(o[0].passed);
}
#[test]
fn evaluate_preserves_action_regardless_of_outcome() {
let s = fill_store();
let ctx = serde_json::json!({"worker": {"status": "active"}});
let o = s.evaluate("t", &ctx);
let active = o.iter().find(|r| r.rule_id == "active").unwrap();
// Action is attached whether the rule passed or not — the consumer
// decides how to use it.
assert_eq!(
active.action,
RuleAction::Reject {
message: "worker not active".into()
}
);
}
#[test]
fn evaluate_on_unknown_task_class_returns_empty() {
let s = fill_store();
let o = s.evaluate("nonexistent", &serde_json::json!({}));
assert!(o.is_empty());
}
#[test]
fn check_still_returns_actions_unconditionally_for_back_compat() {
// Legacy API should still behave the same — no condition walking.
let s = fill_store();
let actions = s.check("t");
assert_eq!(actions.len(), 3, "check returns one action per rule regardless of condition");
}
fn sql_guard_store() -> TruthStore {
let mut s = TruthStore::new();
s.add_rule(TruthRule {
id: "no-destructive".into(),
task_class: "sql_query".into(),
description: "SQL must not contain destructive verbs".into(),
condition: RuleCondition::FieldContainsAny {
field: "sql".into(),
needles: vec![
"drop table".into(),
"drop schema".into(),
"truncate".into(),
"delete from".into(),
],
},
action: RuleAction::Reject {
message: "destructive SQL rejected".into(),
},
});
s
}
#[test]
fn field_contains_any_matches_case_insensitively() {
let s = sql_guard_store();
let ctx = serde_json::json!({"sql": "SELECT * FROM t; DROP TABLE users;"});
let o = s.evaluate("sql_query", &ctx);
assert!(o[0].passed, "condition holds when needle present (case-insensitive)");
}
#[test]
fn field_contains_any_is_false_when_no_needle_matches() {
let s = sql_guard_store();
let ctx = serde_json::json!({"sql": "SELECT count(*) FROM workers"});
let o = s.evaluate("sql_query", &ctx);
assert!(!o[0].passed, "benign SELECT should not match destructive needles");
}
#[test]
fn field_contains_any_false_when_field_missing() {
let s = sql_guard_store();
let ctx = serde_json::json!({});
let o = s.evaluate("sql_query", &ctx);
assert!(!o[0].passed, "missing field → condition cannot hold");
}
#[test]
fn field_contains_any_empty_needles_list_never_matches() {
let mut s = TruthStore::new();
s.add_rule(TruthRule {
id: "empty".into(),
task_class: "x".into(),
description: "".into(),
condition: RuleCondition::FieldContainsAny {
field: "sql".into(),
needles: vec![],
},
action: RuleAction::Pass,
});
let o = s.evaluate("x", &serde_json::json!({"sql": "anything"}));
assert!(!o[0].passed, "no needles → any::<bool> is false");
}
}
-187
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@@ -1,187 +0,0 @@
//! File-backed TruthRule loader (Phase 42 PRD).
//!
//! PRD: "truth/ dir at repo root — rule files, versioned in git."
//! This module walks a directory, parses every `*.toml` file it finds,
//! and registers the rules into a caller-supplied store. Rule IDs must
//! be unique across the combined set — duplicate-ID collisions are
//! load-time errors.
//!
//! The TOML format matches the shape at `truth/README.md`. The same
//! `RuleCondition` + `RuleAction` enums used by the in-code registrars
//! deserialize directly from `condition = { type = "FieldEquals", ... }`
//! thanks to `#[serde(tag = "type")]`.
use std::fs;
use std::path::Path;
use serde::Deserialize;
use crate::{TruthRule, TruthStore};
/// Deserialization wrapper — a TOML file is a list of [[rule]] blocks.
#[derive(Deserialize)]
struct RuleFile {
#[serde(default)]
rule: Vec<TruthRule>,
}
/// Load every `*.toml` file in `dir` and add its rules to `store`.
/// Returns the number of rules loaded across all files.
///
/// Errors:
/// - directory doesn't exist or can't be read
/// - any `.toml` file fails to parse
/// - any rule ID collides with an existing rule (same ID already
/// registered in the store)
///
/// Non-goals: recursive walk (flat dir only), hot reload (one-shot load).
pub fn load_from_dir(store: &mut TruthStore, dir: impl AsRef<Path>) -> Result<usize, String> {
let dir = dir.as_ref();
let entries = fs::read_dir(dir)
.map_err(|e| format!("read_dir {}: {e}", dir.display()))?;
let mut loaded_ids = store.all_rule_ids();
let mut count = 0usize;
let mut paths: Vec<_> = entries
.filter_map(|e| e.ok())
.map(|e| e.path())
.filter(|p| p.extension().and_then(|s| s.to_str()) == Some("toml"))
.collect();
// Deterministic order — alphabetical by filename. Matters when a
// cross-file ID collision happens; the earlier filename wins
// nothing (both error), but the error message is reproducible.
paths.sort();
for path in paths {
let raw = fs::read_to_string(&path)
.map_err(|e| format!("read {}: {e}", path.display()))?;
let file: RuleFile = toml::from_str(&raw)
.map_err(|e| format!("parse {}: {e}", path.display()))?;
for rule in file.rule {
if !loaded_ids.insert(rule.id.clone()) {
return Err(format!(
"duplicate rule id '{}' from {}",
rule.id,
path.display()
));
}
store.add_rule(rule);
count += 1;
}
}
Ok(count)
}
#[cfg(test)]
mod tests {
use super::*;
use std::io::Write;
fn write_file(dir: &Path, name: &str, content: &str) {
let path = dir.join(name);
let mut f = fs::File::create(&path).unwrap();
f.write_all(content.as_bytes()).unwrap();
}
#[test]
fn loads_rules_from_toml_files() {
let tmp = tempdir_for("loader_test");
write_file(&tmp, "a.toml", r#"
[[rule]]
id = "a-rule"
task_class = "test"
description = "test rule"
action = { type = "Pass" }
[rule.condition]
type = "Always"
"#);
let mut store = TruthStore::new();
let n = load_from_dir(&mut store, &tmp).unwrap();
assert_eq!(n, 1);
assert_eq!(store.get_rules("test").len(), 1);
let _ = fs::remove_dir_all(&tmp);
}
#[test]
fn rejects_duplicate_rule_ids() {
let tmp = tempdir_for("dup_ids");
write_file(&tmp, "a.toml", r#"
[[rule]]
id = "same"
task_class = "t"
description = ""
action = { type = "Pass" }
[rule.condition]
type = "Always"
"#);
write_file(&tmp, "b.toml", r#"
[[rule]]
id = "same"
task_class = "t"
description = ""
action = { type = "Pass" }
[rule.condition]
type = "Always"
"#);
let mut store = TruthStore::new();
let err = load_from_dir(&mut store, &tmp).unwrap_err();
assert!(err.contains("duplicate"), "got: {err}");
let _ = fs::remove_dir_all(&tmp);
}
#[test]
fn duplicate_with_in_code_rule_is_rejected() {
// Existing in-store IDs count as "already registered." Operator
// can't shadow an in-code rule by file without changing the ID.
let tmp = tempdir_for("dup_in_code");
write_file(&tmp, "conflict.toml", r#"
[[rule]]
id = "worker-active"
task_class = "staffing.fill"
description = "file attempt"
action = { type = "Pass" }
[rule.condition]
type = "Always"
"#);
// staffing_rules registers "worker-active"
let mut store = crate::staffing::staffing_rules(TruthStore::new());
let err = load_from_dir(&mut store, &tmp).unwrap_err();
assert!(err.contains("duplicate") && err.contains("worker-active"));
let _ = fs::remove_dir_all(&tmp);
}
#[test]
fn skips_non_toml_files() {
let tmp = tempdir_for("skip_non_toml");
write_file(&tmp, "a.toml", r#"
[[rule]]
id = "x"
task_class = "t"
description = ""
action = { type = "Pass" }
[rule.condition]
type = "Always"
"#);
write_file(&tmp, "README.md", "not a toml file");
let mut store = TruthStore::new();
let n = load_from_dir(&mut store, &tmp).unwrap();
assert_eq!(n, 1); // README.md ignored
let _ = fs::remove_dir_all(&tmp);
}
#[test]
fn missing_dir_returns_error() {
let mut store = TruthStore::new();
let err = load_from_dir(&mut store, "/nonexistent/path/here").unwrap_err();
assert!(err.contains("read_dir"));
}
fn tempdir_for(tag: &str) -> std::path::PathBuf {
let dir = std::env::temp_dir().join(format!("truth_loader_{}_{}", tag,
std::process::id()));
fs::create_dir_all(&dir).unwrap();
dir
}
}
-125
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@@ -1,125 +0,0 @@
//! Staffing task-class rules for the TruthStore.
//!
//! Phase 42 PRD: "Staffing rules ship first. Terraform/Ansible rule
//! shapes are scaffolded but unpopulated until the long-horizon phase."
//! This module owns the staffing rule set; `devops.rs` holds the
//! matching scaffold for the DevOps long-horizon.
//!
//! Rules registered here live under the task classes `staffing.fill`
//! (fill proposals), `staffing.rescue` (rescue escalations), and
//! `staffing.any` (rules that apply across all staffing task classes —
//! PII redaction being the canonical example).
//!
//! All rules are evaluated via the `TruthStore::evaluate` walk, which
//! pairs each rule's `RuleCondition` against a caller-supplied JSON
//! context and emits a `RuleOutcome { passed, action }` per rule.
//! Downstream enforcement (router gate, SQL gate, execution-loop gate)
//! decides how to apply the action — `Reject` / `Block` shortcircuit,
//! `Redact` mutates, `Pass` is informational.
use crate::{RuleAction, RuleCondition, TruthRule, TruthStore};
/// Register the staffing rule set on an existing store. Returns the
/// store for chaining if the caller wants to fold other rule sets on
/// top (e.g. `staffing_rules(devops_rules(TruthStore::new()))`).
pub fn staffing_rules(mut store: TruthStore) -> TruthStore {
store.add_rule(TruthRule {
id: "worker-active".to_string(),
task_class: "staffing.fill".to_string(),
description: "Worker must be active".to_string(),
condition: RuleCondition::FieldEquals {
field: "worker.status".to_string(),
value: "active".to_string(),
},
action: RuleAction::Pass,
});
store.add_rule(TruthRule {
id: "client-not-blacklisted".to_string(),
task_class: "staffing.fill".to_string(),
description: "Worker cannot be blacklisted for client".to_string(),
condition: RuleCondition::FieldEquals {
field: "worker.client_blacklisted".to_string(),
value: "false".to_string(),
},
action: RuleAction::Pass,
});
store.add_rule(TruthRule {
id: "deadline-required".to_string(),
task_class: "staffing.fill".to_string(),
description: "Contract must have deadline".to_string(),
condition: RuleCondition::FieldEmpty {
field: "contract.deadline".to_string(),
},
action: RuleAction::Reject {
message: "Contract deadline is required".to_string(),
},
});
store.add_rule(TruthRule {
id: "budget-required".to_string(),
task_class: "staffing.fill".to_string(),
description: "Budget must be non-negative".to_string(),
condition: RuleCondition::FieldGreater {
field: "contract.budget_per_hour_max".to_string(),
threshold: 0,
},
action: RuleAction::Pass,
});
store.add_rule(TruthRule {
id: "pii-redact".to_string(),
task_class: "staffing.any".to_string(),
description: "Redact PII before cloud calls".to_string(),
condition: RuleCondition::Always,
action: RuleAction::Redact {
fields: vec!["ssn".to_string(), "salary".to_string()],
},
});
store
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn staffing_rules_registers_five_rules() {
// 4 staffing.fill rules + 1 staffing.any rule = 5 total.
// Regression guard: if someone adds a rule to this module
// without updating the count, this test surfaces it.
let store = staffing_rules(TruthStore::new());
let fill = store.get_rules("staffing.fill").len();
let any = store.get_rules("staffing.any").len();
assert_eq!(fill, 4);
assert_eq!(any, 1);
}
#[test]
fn blacklisted_worker_fails_the_rule() {
let store = staffing_rules(TruthStore::new());
let ctx = serde_json::json!({
"worker": { "client_blacklisted": "true" }
});
let outcomes = store.evaluate("staffing.fill", &ctx);
let blk = outcomes.iter().find(|o| o.rule_id == "client-not-blacklisted").unwrap();
assert!(!blk.passed, "blacklisted worker must fail the rule");
}
#[test]
fn missing_deadline_fires_reject_via_empty_condition() {
let store = staffing_rules(TruthStore::new());
// FieldEmpty passes when the field is missing — and the rule's
// action is Reject, so enforcement should fire.
let ctx = serde_json::json!({});
let outcomes = store.evaluate("staffing.fill", &ctx);
let deadline = outcomes.iter().find(|o| o.rule_id == "deadline-required").unwrap();
assert!(deadline.passed);
match &deadline.action {
RuleAction::Reject { message } => assert!(message.contains("deadline")),
_ => panic!("expected Reject action"),
}
}
}
+2 -2
View File
@@ -1238,13 +1238,13 @@ fn IngestPanel() -> Element {
pg_tables.set(Some(tables)); pg_tables.set(Some(tables));
} }
} }
Err(_) => pg_tables.set(None), Err(e) => pg_tables.set(None),
} }
pg_loading.set(false); pg_loading.set(false);
}); });
}; };
let import_table = move |table: String| { let mut import_table = move |table: String| {
let host = pg_host.read().clone(); let host = pg_host.read().clone();
let db = pg_db.read().clone(); let db = pg_db.read().clone();
spawn(async move { spawn(async move {
-11
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@@ -1,11 +0,0 @@
[package]
name = "validator"
version = "0.1.0"
edition = "2024"
[dependencies]
serde = { workspace = true }
serde_json = { workspace = true }
thiserror = { workspace = true }
tokio = { workspace = true }
tracing = { workspace = true }
-44
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@@ -1,44 +0,0 @@
//! DevOps validator scaffold — long-horizon.
//!
//! PRD: "scaffold only: stubbed Terraform/Ansible validators
//! (`terraform validate`, `ansible-lint`) for the long-horizon phase."
//! Shipped as Unimplemented stubs so the execution-loop dispatcher
//! has a consistent failure shape to surface ("phase 43 not wired")
//! instead of a missing-impl panic.
use crate::{Artifact, Report, Validator, ValidationError};
pub struct TerraformValidator;
impl Validator for TerraformValidator {
fn name(&self) -> &'static str { "devops.terraform" }
fn validate(&self, _artifact: &Artifact) -> Result<Report, ValidationError> {
Err(ValidationError::Unimplemented { artifact: "terraform_plan" })
}
}
pub struct AnsibleValidator;
impl Validator for AnsibleValidator {
fn name(&self) -> &'static str { "devops.ansible" }
fn validate(&self, _artifact: &Artifact) -> Result<Report, ValidationError> {
Err(ValidationError::Unimplemented { artifact: "ansible_playbook" })
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn terraform_scaffold_returns_unimplemented() {
let r = TerraformValidator.validate(&Artifact::TerraformPlan(serde_json::json!({})));
assert!(matches!(r, Err(ValidationError::Unimplemented { .. })));
}
#[test]
fn ansible_scaffold_returns_unimplemented() {
let r = AnsibleValidator.validate(&Artifact::AnsiblePlaybook(serde_json::json!({})));
assert!(matches!(r, Err(ValidationError::Unimplemented { .. })));
}
}
-95
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@@ -1,95 +0,0 @@
//! Phase 43 Validation Pipeline.
//!
//! PRD: "Staffing outputs run through schema / completeness /
//! consistency / policy gates. Plug into Layer 5 execution loop —
//! failure triggers observer-correction iteration."
//!
//! This crate provides the `Validator` trait + `Artifact` enum +
//! Report/ValidationError types. Staffing validators (fill, email,
//! playbook) and the DevOps scaffold live in submodules.
//!
//! Landed 2026-04-24 as a scaffold — the trait + types + module
//! layout match the PRD; individual validator implementations are
//! `Unimplemented` stubs that return a clear "phase 43 not wired"
//! error rather than silently passing. The execution-loop integration
//! (generate → validate → correct → retry) comes in a follow-up
//! commit once the stubs are filled.
use serde::{Deserialize, Serialize};
use thiserror::Error;
pub mod staffing;
pub mod devops;
/// What a validator saw. One variant per artifact class we validate.
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(tag = "kind")]
pub enum Artifact {
/// A fill proposal from the staffing executor — shape is
/// `{fills: [{candidate_id, name}]}` per PRD.
FillProposal(serde_json::Value),
/// An email/SMS draft for outreach.
EmailDraft(serde_json::Value),
/// A playbook being sealed for memory.
Playbook(serde_json::Value),
/// Terraform plan output (scaffold, long-horizon).
TerraformPlan(serde_json::Value),
/// Ansible playbook (scaffold, long-horizon).
AnsiblePlaybook(serde_json::Value),
}
/// Success report. Empty `findings` means a clean pass. Populated
/// findings with `Severity::Warning` means "acceptable but notable" —
/// the artifact passes. `Severity::Error` means validation failed;
/// the validator should return `Err(...)` in that case, not `Ok`.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Report {
pub findings: Vec<Finding>,
pub elapsed_ms: u64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Finding {
pub field: String,
pub severity: Severity,
pub message: String,
}
#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq)]
#[serde(rename_all = "snake_case")]
pub enum Severity {
Warning,
Error,
}
/// Validation failure — what went wrong + where + why. Returned as
/// `Err` from `validate`. Execution loop catches these and feeds them
/// to the observer-correction retry loop.
#[derive(Debug, Clone, Error, Serialize, Deserialize)]
pub enum ValidationError {
/// Artifact schema doesn't match what we expected.
#[error("schema mismatch at {field}: {reason}")]
Schema { field: String, reason: String },
/// Required data missing (e.g. endorsed count != target count).
#[error("completeness: {reason}")]
Completeness { reason: String },
/// Data that's inconsistent with another source of truth
/// (e.g. worker_id doesn't exist in the workers table).
#[error("consistency: {reason}")]
Consistency { reason: String },
/// Policy violation — truth rule or access control said no.
#[error("policy: {reason}")]
Policy { reason: String },
/// Validator hasn't been implemented yet — scaffold stub.
#[error("validator not yet implemented for {artifact} — phase 43 scaffold")]
Unimplemented { artifact: &'static str },
}
/// Core validation contract. Implementations live in `staffing::*` and
/// `devops::*`. The execution loop dispatches to the right impl based
/// on the Artifact variant.
pub trait Validator: Send + Sync {
fn validate(&self, artifact: &Artifact) -> Result<Report, ValidationError>;
/// Human-readable name for logs + Langfuse traces.
fn name(&self) -> &'static str;
}
-116
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@@ -1,116 +0,0 @@
//! Email/SMS draft validator.
//!
//! PRD checks:
//! - Schema (TO/BODY fields present)
//! - Length (SMS ≤ 160 chars; email subject ≤ 78 chars)
//! - PII absence (no SSN / salary leaked into outgoing text)
//! - Worker-name consistency (name in message matches worker record)
//!
//! Scaffold implements schema + length. PII regex (SSN pattern,
//! salary-number pattern) lives in `shared::pii::strip_pii` — plug in
//! a follow-up when the validator caller knows the worker record to
//! cross-check name consistency.
use crate::{Artifact, Report, Validator, ValidationError};
use std::time::Instant;
pub struct EmailValidator;
const SMS_MAX_CHARS: usize = 160;
const EMAIL_SUBJECT_MAX_CHARS: usize = 78;
impl Validator for EmailValidator {
fn name(&self) -> &'static str { "staffing.email" }
fn validate(&self, artifact: &Artifact) -> Result<Report, ValidationError> {
let started = Instant::now();
let value = match artifact {
Artifact::EmailDraft(v) => v,
other => return Err(ValidationError::Schema {
field: "artifact".into(),
reason: format!("EmailValidator expects EmailDraft, got {other:?}"),
}),
};
let to = value.get("to").and_then(|v| v.as_str()).ok_or(
ValidationError::Schema {
field: "to".into(),
reason: "missing or not a string".into(),
},
)?;
let body = value.get("body").and_then(|v| v.as_str()).ok_or(
ValidationError::Schema {
field: "body".into(),
reason: "missing or not a string".into(),
},
)?;
let is_sms = value.get("kind").and_then(|k| k.as_str()) == Some("sms");
if is_sms && body.len() > SMS_MAX_CHARS {
return Err(ValidationError::Completeness {
reason: format!("SMS body is {} chars, max {SMS_MAX_CHARS}", body.len()),
});
}
if let Some(subject) = value.get("subject").and_then(|v| v.as_str()) {
if subject.len() > EMAIL_SUBJECT_MAX_CHARS {
return Err(ValidationError::Completeness {
reason: format!(
"email subject is {} chars, max {EMAIL_SUBJECT_MAX_CHARS}",
subject.len()
),
});
}
}
let _ = to; // touched for future name-consistency check
// TODO(phase-43 v2): PII scan + worker-name consistency.
Ok(Report {
findings: vec![],
elapsed_ms: started.elapsed().as_millis() as u64,
})
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn long_sms_fails_completeness() {
let body = "x".repeat(200);
let r = EmailValidator.validate(&Artifact::EmailDraft(serde_json::json!({
"to": "+15555550123",
"body": body,
"kind": "sms"
})));
assert!(matches!(r, Err(ValidationError::Completeness { .. })));
}
#[test]
fn long_email_subject_fails_completeness() {
let r = EmailValidator.validate(&Artifact::EmailDraft(serde_json::json!({
"to": "a@b.com",
"body": "hi",
"subject": "x".repeat(100)
})));
assert!(matches!(r, Err(ValidationError::Completeness { .. })));
}
#[test]
fn missing_to_fails_schema() {
let r = EmailValidator.validate(&Artifact::EmailDraft(serde_json::json!({"body": "hi"})));
assert!(matches!(r, Err(ValidationError::Schema { field, .. }) if field == "to"));
}
#[test]
fn well_formed_email_passes() {
let r = EmailValidator.validate(&Artifact::EmailDraft(serde_json::json!({
"to": "hiring@example.com",
"subject": "Interview: Friday 10am",
"body": "Hi Jane — confirming interview Friday 10am."
})));
assert!(r.is_ok(), "well-formed email should pass: {:?}", r);
}
}
-103
View File
@@ -1,103 +0,0 @@
//! Fill-proposal validator.
//!
//! PRD checks:
//! - Schema compliance (propose_done shape matches
//! `{fills: [{candidate_id, name}]}`)
//! - Completeness (endorsed count == target_count)
//! - Worker existence (every candidate_id present in workers_500k)
//! - Status check (active, not_on_client_blacklist)
//! - Geo/role match (worker city/state/role matches contract)
//!
//! Today this is a scaffold — schema check is real (it's cheap); the
//! worker-existence / status / geo checks need a catalog lookup and
//! land in a follow-up when the catalog query helper is wired into
//! this crate.
use crate::{Artifact, Report, Validator, ValidationError};
use std::time::Instant;
pub struct FillValidator;
impl Validator for FillValidator {
fn name(&self) -> &'static str { "staffing.fill" }
fn validate(&self, artifact: &Artifact) -> Result<Report, ValidationError> {
let started = Instant::now();
let value = match artifact {
Artifact::FillProposal(v) => v,
other => return Err(ValidationError::Schema {
field: "artifact".into(),
reason: format!("FillValidator expects FillProposal, got {other:?}"),
}),
};
// Schema check — the only real validation shipped in this
// scaffold. Catches the common "model emitted prose instead of
// JSON" failure mode before the consistency checks even run.
let fills = value.get("fills").and_then(|f| f.as_array()).ok_or(
ValidationError::Schema {
field: "fills".into(),
reason: "expected top-level `fills` array".into(),
},
)?;
for (i, fill) in fills.iter().enumerate() {
if fill.get("candidate_id").is_none() {
return Err(ValidationError::Schema {
field: format!("fills[{i}].candidate_id"),
reason: "missing".into(),
});
}
if fill.get("name").is_none() {
return Err(ValidationError::Schema {
field: format!("fills[{i}].name"),
reason: "missing".into(),
});
}
}
// TODO(phase-43 v2): worker-existence / status / geo checks.
// Need a catalog query handle injected into FillValidator's
// constructor — out of scope for the scaffold.
Ok(Report {
findings: vec![],
elapsed_ms: started.elapsed().as_millis() as u64,
})
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn wrong_artifact_type_fails_schema() {
let r = FillValidator.validate(&Artifact::EmailDraft(serde_json::json!({})));
assert!(matches!(r, Err(ValidationError::Schema { .. })));
}
#[test]
fn missing_fills_array_fails_schema() {
let r = FillValidator.validate(&Artifact::FillProposal(serde_json::json!({})));
assert!(matches!(r, Err(ValidationError::Schema { field, .. }) if field == "fills"));
}
#[test]
fn fill_without_candidate_id_fails() {
let r = FillValidator.validate(&Artifact::FillProposal(serde_json::json!({
"fills": [{"name": "Jane"}]
})));
assert!(matches!(r, Err(ValidationError::Schema { field, .. }) if field.contains("candidate_id")));
}
#[test]
fn well_formed_proposal_passes_schema() {
let r = FillValidator.validate(&Artifact::FillProposal(serde_json::json!({
"fills": [
{"candidate_id": "W-123", "name": "Jane Doe"},
{"candidate_id": "W-456", "name": "John Smith"}
]
})));
assert!(r.is_ok(), "well-formed proposal should pass schema: {:?}", r);
}
}
-8
View File
@@ -1,8 +0,0 @@
//! Staffing validators — fill proposals, email/SMS drafts, sealed
//! playbooks. Phase 43 PRD: "the 0→85% pattern reproduces on real
//! staffing tasks — the iteration loop with validation in place is
//! what made small models successful."
pub mod fill;
pub mod email;
pub mod playbook;
-134
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@@ -1,134 +0,0 @@
//! Sealed playbook validator.
//!
//! PRD checks:
//! - Operation format (`fill: Role xN in City, ST`)
//! - endorsed_names non-empty, ≤ target_count × 2
//! - fingerprint populated (Phase 25 validity window requirement)
use crate::{Artifact, Report, Validator, ValidationError};
use std::time::Instant;
pub struct PlaybookValidator;
impl Validator for PlaybookValidator {
fn name(&self) -> &'static str { "staffing.playbook" }
fn validate(&self, artifact: &Artifact) -> Result<Report, ValidationError> {
let started = Instant::now();
let value = match artifact {
Artifact::Playbook(v) => v,
other => return Err(ValidationError::Schema {
field: "artifact".into(),
reason: format!("PlaybookValidator expects Playbook, got {other:?}"),
}),
};
// Operation format: "fill: Role xN in City, ST" — at minimum
// we check the string-shape. Fuller grammar parse lives in
// phase 25 code where operations are structured beyond strings.
let op = value.get("operation").and_then(|v| v.as_str()).ok_or(
ValidationError::Schema {
field: "operation".into(),
reason: "missing or not a string".into(),
},
)?;
if !op.starts_with("fill:") {
return Err(ValidationError::Schema {
field: "operation".into(),
reason: format!("expected `fill: ...` prefix, got {op:?}"),
});
}
let endorsed = value.get("endorsed_names").and_then(|v| v.as_array()).ok_or(
ValidationError::Schema {
field: "endorsed_names".into(),
reason: "missing or not an array".into(),
},
)?;
if endorsed.is_empty() {
return Err(ValidationError::Completeness {
reason: "endorsed_names must be non-empty".into(),
});
}
if let Some(target) = value.get("target_count").and_then(|v| v.as_u64()) {
let max = (target * 2) as usize;
if endorsed.len() > max {
return Err(ValidationError::Completeness {
reason: format!(
"endorsed_names ({}) exceeds target_count × 2 ({max})",
endorsed.len()
),
});
}
}
if value.get("fingerprint").and_then(|v| v.as_str()).map_or(true, |s| s.is_empty()) {
return Err(ValidationError::Schema {
field: "fingerprint".into(),
reason: "missing — required for Phase 25 validity window".into(),
});
}
Ok(Report {
findings: vec![],
elapsed_ms: started.elapsed().as_millis() as u64,
})
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn well_formed_playbook_passes() {
let r = PlaybookValidator.validate(&Artifact::Playbook(serde_json::json!({
"operation": "fill: Welder x2 in Toledo, OH",
"endorsed_names": ["W-123", "W-456"],
"target_count": 2,
"fingerprint": "abc123"
})));
assert!(r.is_ok(), "got {:?}", r);
}
#[test]
fn empty_endorsed_names_fails_completeness() {
let r = PlaybookValidator.validate(&Artifact::Playbook(serde_json::json!({
"operation": "fill: Welder x2 in Toledo, OH",
"endorsed_names": [],
"fingerprint": "abc"
})));
assert!(matches!(r, Err(ValidationError::Completeness { .. })));
}
#[test]
fn overfull_endorsed_names_fails_completeness() {
let r = PlaybookValidator.validate(&Artifact::Playbook(serde_json::json!({
"operation": "fill: Welder x1 in Toledo, OH",
"endorsed_names": ["a", "b", "c"],
"target_count": 1,
"fingerprint": "abc"
})));
assert!(matches!(r, Err(ValidationError::Completeness { .. })));
}
#[test]
fn missing_fingerprint_fails_schema() {
let r = PlaybookValidator.validate(&Artifact::Playbook(serde_json::json!({
"operation": "fill: X x1 in A, B",
"endorsed_names": ["a"]
})));
assert!(matches!(r, Err(ValidationError::Schema { field, .. }) if field == "fingerprint"));
}
#[test]
fn wrong_operation_prefix_fails_schema() {
let r = PlaybookValidator.validate(&Artifact::Playbook(serde_json::json!({
"operation": "sms_draft: hello",
"endorsed_names": ["a"],
"fingerprint": "x"
})));
assert!(matches!(r, Err(ValidationError::Schema { .. })));
}
}
-118
View File
@@ -1,118 +0,0 @@
//! Profile activation tracking (Phase 41 PRD).
//!
//! Phase 41 PRD called out `crates/vectord/src/activation.rs` with
//! `ActivationTracker` + background-job pattern. The activation
//! handler itself lives in `service.rs::activate_profile` (200+ lines
//! of warm-up + bucket binding that's wired to VectorState); this
//! module provides the type the PRD named and a single-flight guard
//! that satisfies the PRD gate "refuse new activation if one is
//! pending/running."
//!
//! Handler extraction (moving the body of `activate_profile` here)
//! is deliberately NOT in this commit — it's a module-structure
//! refactor, not a semantic change. When that lands, the inline
//! `tokio::spawn` in `service.rs` moves into `ActivationTracker::start`
//! and the HTTP handler shrinks to ~20 lines of validate + start +
//! respond-202.
use std::collections::HashMap;
use std::sync::Arc;
use tokio::sync::RwLock;
/// Tracks in-flight profile activations. The PRD's "single-flight guard"
/// lives here: callers check `is_pending` before starting a new activation
/// and register via `mark_pending` if they proceed. On completion, they
/// call `mark_complete` so the next caller can start.
///
/// Per-profile granularity — activating profile A doesn't block B.
#[derive(Clone, Default)]
pub struct ActivationTracker {
pending: Arc<RwLock<HashMap<String, String>>>, // profile_id → job_id
}
impl ActivationTracker {
pub fn new() -> Self {
Self::default()
}
/// Check if a profile has an activation already running. Returns the
/// in-flight job_id if so. Safe to call without holding a lock.
pub async fn is_pending(&self, profile_id: &str) -> Option<String> {
self.pending.read().await.get(profile_id).cloned()
}
/// Register a new activation as pending. Returns false if an
/// activation is already running for the same profile (caller should
/// return 409 Conflict or surface the existing job_id). Returns true
/// on successful registration.
pub async fn mark_pending(&self, profile_id: &str, job_id: &str) -> bool {
let mut guard = self.pending.write().await;
if guard.contains_key(profile_id) {
return false;
}
guard.insert(profile_id.to_string(), job_id.to_string());
true
}
/// Remove the pending marker when activation finishes (success OR
/// failure — both free the slot for the next caller).
pub async fn mark_complete(&self, profile_id: &str) {
self.pending.write().await.remove(profile_id);
}
/// How many activations are currently in-flight across all profiles.
pub async fn in_flight_count(&self) -> usize {
self.pending.read().await.len()
}
}
#[cfg(test)]
mod tests {
use super::*;
#[tokio::test]
async fn empty_tracker_has_no_pending() {
let t = ActivationTracker::new();
assert_eq!(t.in_flight_count().await, 0);
assert!(t.is_pending("any-profile").await.is_none());
}
#[tokio::test]
async fn mark_pending_registers_the_job() {
let t = ActivationTracker::new();
assert!(t.mark_pending("profile-A", "job-1").await);
assert_eq!(t.in_flight_count().await, 1);
assert_eq!(t.is_pending("profile-A").await, Some("job-1".into()));
}
#[tokio::test]
async fn single_flight_guard_refuses_second_activation_same_profile() {
// PRD Phase 41 gate: "refuse new activation if one is
// pending/running." Same profile twice → second call returns
// false, caller must surface the in-flight job_id.
let t = ActivationTracker::new();
assert!(t.mark_pending("profile-A", "job-1").await);
assert!(!t.mark_pending("profile-A", "job-2").await);
// Still the first job — second registration didn't overwrite.
assert_eq!(t.is_pending("profile-A").await, Some("job-1".into()));
}
#[tokio::test]
async fn different_profiles_dont_block_each_other() {
// Per-profile granularity — activating A doesn't block B.
let t = ActivationTracker::new();
assert!(t.mark_pending("profile-A", "job-1").await);
assert!(t.mark_pending("profile-B", "job-2").await);
assert_eq!(t.in_flight_count().await, 2);
}
#[tokio::test]
async fn mark_complete_frees_the_slot() {
let t = ActivationTracker::new();
t.mark_pending("profile-A", "job-1").await;
t.mark_complete("profile-A").await;
assert_eq!(t.in_flight_count().await, 0);
// Next activation can now proceed.
assert!(t.mark_pending("profile-A", "job-2").await);
}
}
-150
View File
@@ -46,21 +46,6 @@ pub struct IndexMeta {
/// Existing indexes: "W-", "CAND-", "W500K-", etc. /// Existing indexes: "W-", "CAND-", "W500K-", etc.
#[serde(default)] #[serde(default)]
pub id_prefix: Option<String>, pub id_prefix: Option<String>,
/// PRD 11.3 — when this index was last searched against. `None` =
/// never used since registration (or pre-field-existed metadata).
/// Incremental re-embed walks this to skip cold indexes.
/// Scrum iter 11 flagged the missing field as a UnitMismatch
/// because callers were reading `created_at` as a proxy for
/// liveness, which conflated "built" with "used."
#[serde(default)]
pub last_used: Option<DateTime<Utc>>,
/// PRD 11.3 — SHA-256 of (sorted source file list + chunk_size +
/// overlap + model_version). Lets incremental re-embed detect
/// "no change since last build" without scanning the source
/// Parquet. None = signature not computed yet (pre-existing
/// indexes before this field landed).
#[serde(default)]
pub build_signature: Option<String>,
} }
fn default_bucket() -> String { "primary".to_string() } fn default_bucket() -> String { "primary".to_string() }
@@ -143,139 +128,4 @@ impl IndexRegistry {
self.indexes.write().await.remove(index_name); self.indexes.write().await.remove(index_name);
Ok(()) Ok(())
} }
/// Stamp `last_used = now()` on an index. Search handlers call this
/// on every hit so incremental re-embed (PRD 11.3) can tell live
/// indexes from cold ones. Silently no-ops if the index is unknown
/// — callers get best-effort behavior, not a 500 on a missing row.
pub async fn touch_used(&self, index_name: &str) {
if let Some(m) = self.indexes.write().await.get_mut(index_name) {
m.last_used = Some(Utc::now());
}
}
}
/// Compute a stable build_signature for PRD 11.3 incremental re-embed.
/// Hashes (sorted source file list, chunk_size, overlap, model_version)
/// so a caller can ask "has anything we built from changed?" without
/// re-scanning the source parquet. Same inputs always produce the
/// same hash.
pub fn compute_build_signature(
source_files: &[impl AsRef<str>],
chunk_size: usize,
overlap: usize,
model_version: &str,
) -> String {
use sha2::{Digest, Sha256};
let mut sorted: Vec<&str> = source_files.iter().map(|s| s.as_ref()).collect();
sorted.sort();
let mut hasher = Sha256::new();
for f in &sorted {
hasher.update(f.as_bytes());
hasher.update(b"\n");
}
hasher.update(chunk_size.to_le_bytes());
hasher.update(overlap.to_le_bytes());
hasher.update(model_version.as_bytes());
format!("{:x}", hasher.finalize())
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn build_signature_is_deterministic() {
let sig1 = compute_build_signature(&["a.parquet", "b.parquet"], 800, 80, "v1");
let sig2 = compute_build_signature(&["a.parquet", "b.parquet"], 800, 80, "v1");
assert_eq!(sig1, sig2, "same inputs → same hash");
}
#[test]
fn build_signature_order_invariant() {
// Files get sorted internally so caller's order doesn't matter.
let sig_a = compute_build_signature(&["a.parquet", "b.parquet"], 800, 80, "v1");
let sig_b = compute_build_signature(&["b.parquet", "a.parquet"], 800, 80, "v1");
assert_eq!(sig_a, sig_b, "file list order must not affect hash");
}
#[test]
fn build_signature_changes_on_chunk_param() {
let sig_a = compute_build_signature(&["a.parquet"], 800, 80, "v1");
let sig_b = compute_build_signature(&["a.parquet"], 900, 80, "v1");
assert_ne!(sig_a, sig_b, "chunk_size change → different hash");
}
#[test]
fn build_signature_changes_on_model_version() {
let sig_a = compute_build_signature(&["a.parquet"], 800, 80, "v1");
let sig_b = compute_build_signature(&["a.parquet"], 800, 80, "v2");
assert_ne!(sig_a, sig_b, "model version change → different hash");
}
#[tokio::test]
async fn touch_used_updates_last_used() {
use object_store::memory::InMemory;
let store: Arc<dyn ObjectStore> = Arc::new(InMemory::new());
let reg = IndexRegistry::new(store);
let meta = IndexMeta {
index_name: "test".into(),
source: "s".into(),
model_name: "m".into(),
model_version: "v1".into(),
dimensions: 768,
chunk_count: 0,
doc_count: 0,
chunk_size: 800,
overlap: 80,
storage_key: "k".into(),
created_at: Utc::now(),
build_time_secs: 0.0,
chunks_per_sec: 0.0,
bucket: "primary".into(),
vector_backend: Default::default(),
id_prefix: None,
last_used: None,
build_signature: None,
};
reg.register(meta).await.unwrap();
assert!(reg.get("test").await.unwrap().last_used.is_none());
reg.touch_used("test").await;
assert!(reg.get("test").await.unwrap().last_used.is_some());
}
#[tokio::test]
async fn touch_used_is_noop_on_missing_index() {
use object_store::memory::InMemory;
let store: Arc<dyn ObjectStore> = Arc::new(InMemory::new());
let reg = IndexRegistry::new(store);
// No panic — unknown index just doesn't get touched.
reg.touch_used("nonexistent").await;
}
#[test]
fn index_meta_deserializes_without_new_fields_backcompat() {
// Pre-field-existence metadata files on disk must still load.
// Critical — we have ~40 .json meta files under vectors/meta/
// that predate these fields.
let json = r#"{
"index_name": "resumes_v1",
"source": "resumes",
"model_name": "nomic-embed-text",
"model_version": "latest",
"dimensions": 768,
"chunk_count": 100,
"doc_count": 10,
"chunk_size": 800,
"overlap": 80,
"storage_key": "vectors/resumes_v1.parquet",
"created_at": "2026-04-20T00:00:00Z",
"build_time_secs": 1.0,
"chunks_per_sec": 100.0
}"#;
let meta: IndexMeta = serde_json::from_str(json).expect("must deserialize pre-field meta");
assert!(meta.last_used.is_none());
assert!(meta.build_signature.is_none());
assert_eq!(meta.bucket, "primary");
}
} }
+39 -66
View File
@@ -8,13 +8,6 @@ use std::collections::HashMap;
use std::sync::Arc; use std::sync::Arc;
use tokio::sync::RwLock; use tokio::sync::RwLock;
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "lowercase")]
pub enum JobType {
Embed,
ProfileActivation,
}
#[derive(Debug, Clone, Serialize)] #[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "lowercase")] #[serde(rename_all = "lowercase")]
pub enum JobStatus { pub enum JobStatus {
@@ -26,61 +19,24 @@ pub enum JobStatus {
#[derive(Debug, Clone, Serialize)] #[derive(Debug, Clone, Serialize)]
pub struct Job { pub struct Job {
pub id: String, pub id: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub job_type: Option<JobType>,
pub status: JobStatus, pub status: JobStatus,
pub index_name: Option<String>, pub index_name: String,
pub profile_id: Option<String>,
pub total_chunks: usize, pub total_chunks: usize,
/// How many chunks have been embedded so far.
/// Also serialized as "processed" for backward-compat with monitoring scripts.
pub embedded_chunks: usize,
#[serde(rename = "processed")] #[serde(rename = "processed")]
pub processed_alias: usize, pub processed_alias: usize,
pub total: usize,
pub progress_pct: f32, pub progress_pct: f32,
pub storage_key: Option<String>, pub storage_key: Option<String>,
pub error: Option<String>, pub error: Option<String>,
pub started_at: String, pub started_at: String,
pub completed_at: Option<String>, pub completed_at: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")] pub chunks_per_sec: f32,
pub result: Option<serde_json::Value>,
}
impl Job {
pub fn new_embed(index_name: &str, total_chunks: usize) -> Self {
Self {
id: format!("job-{}", chrono::Utc::now().timestamp_millis()),
job_type: Some(JobType::Embed),
status: JobStatus::Running,
index_name: Some(index_name.to_string()),
profile_id: None,
total_chunks,
processed_alias: 0,
progress_pct: 0.0,
storage_key: None,
error: None,
started_at: chrono::Utc::now().to_rfc3339(),
completed_at: None,
result: None,
}
}
pub fn new_profile_activation(profile_id: &str) -> Self {
Self {
id: format!("job-{}", chrono::Utc::now().timestamp_millis()),
job_type: Some(JobType::ProfileActivation),
status: JobStatus::Running,
index_name: None,
profile_id: Some(profile_id.to_string()),
total_chunks: 0,
processed_alias: 0,
progress_pct: 0.0,
storage_key: None,
error: None,
started_at: chrono::Utc::now().to_rfc3339(),
completed_at: None,
result: None,
}
}
} }
/// Shared progress tracker that background tasks update.
#[derive(Clone)] #[derive(Clone)]
pub struct JobTracker { pub struct JobTracker {
jobs: Arc<RwLock<HashMap<String, Job>>>, jobs: Arc<RwLock<HashMap<String, Job>>>,
@@ -93,42 +49,57 @@ impl JobTracker {
} }
} }
pub async fn create_embed(&self, index_name: &str, total_chunks: usize) -> String { /// Register a new job. Returns the job ID.
let job = Job::new_embed(index_name, total_chunks); pub async fn create(&self, index_name: &str, total_chunks: usize) -> String {
let id = job.id.clone(); let id = format!("job-{}", chrono::Utc::now().timestamp_millis());
let job = Job {
id: id.clone(),
status: JobStatus::Running,
index_name: index_name.to_string(),
total_chunks,
embedded_chunks: 0,
processed_alias: 0,
total: total_chunks,
progress_pct: 0.0,
storage_key: None,
error: None,
started_at: chrono::Utc::now().to_rfc3339(),
completed_at: None,
chunks_per_sec: 0.0,
};
self.jobs.write().await.insert(id.clone(), job); self.jobs.write().await.insert(id.clone(), job);
id id
} }
pub async fn create_profile_activation(&self, profile_id: &str) -> String { /// Update progress.
let job = Job::new_profile_activation(profile_id); pub async fn update_progress(&self, id: &str, embedded: usize, rate: f32) {
let id = job.id.clone();
self.jobs.write().await.insert(id.clone(), job);
id
}
pub async fn update_embed_progress(&self, id: &str, embedded: usize, _rate: f32) {
let mut jobs = self.jobs.write().await; let mut jobs = self.jobs.write().await;
if let Some(job) = jobs.get_mut(id) { if let Some(job) = jobs.get_mut(id) {
job.processed_alias = embedded; job.embedded_chunks = embedded;
job.processed_alias = embedded; // keep alias in sync
job.progress_pct = if job.total_chunks > 0 { job.progress_pct = if job.total_chunks > 0 {
(embedded as f32 / job.total_chunks as f32) * 100.0 (embedded as f32 / job.total_chunks as f32) * 100.0
} else { } else {
0.0 0.0
}; };
job.chunks_per_sec = rate;
} }
} }
pub async fn complete(&self, id: &str, result: Option<serde_json::Value>) { /// Mark job as completed.
pub async fn complete(&self, id: &str, storage_key: String) {
let mut jobs = self.jobs.write().await; let mut jobs = self.jobs.write().await;
if let Some(job) = jobs.get_mut(id) { if let Some(job) = jobs.get_mut(id) {
job.status = JobStatus::Completed; job.status = JobStatus::Completed;
job.embedded_chunks = job.total_chunks;
job.processed_alias = job.total_chunks;
job.progress_pct = 100.0; job.progress_pct = 100.0;
job.storage_key = Some(storage_key);
job.completed_at = Some(chrono::Utc::now().to_rfc3339()); job.completed_at = Some(chrono::Utc::now().to_rfc3339());
job.result = result;
} }
} }
/// Mark job as failed.
pub async fn fail(&self, id: &str, error: String) { pub async fn fail(&self, id: &str, error: String) {
let mut jobs = self.jobs.write().await; let mut jobs = self.jobs.write().await;
if let Some(job) = jobs.get_mut(id) { if let Some(job) = jobs.get_mut(id) {
@@ -138,11 +109,13 @@ impl JobTracker {
} }
} }
/// Get job status.
pub async fn get(&self, id: &str) -> Option<Job> { pub async fn get(&self, id: &str) -> Option<Job> {
self.jobs.read().await.get(id).cloned() self.jobs.read().await.get(id).cloned()
} }
/// List all jobs.
pub async fn list(&self) -> Vec<Job> { pub async fn list(&self) -> Vec<Job> {
self.jobs.read().await.values().cloned().collect() self.jobs.read().await.values().cloned().collect()
} }
} }
-2
View File
@@ -7,9 +7,7 @@ pub mod harness;
pub mod hnsw; pub mod hnsw;
pub mod index_registry; pub mod index_registry;
pub mod jobs; pub mod jobs;
pub mod activation;
pub mod playbook_memory; pub mod playbook_memory;
pub mod pathway_memory;
pub mod doc_drift; pub mod doc_drift;
pub mod promotion; pub mod promotion;
pub mod refresh; pub mod refresh;
File diff suppressed because it is too large Load Diff
+1 -1
View File
@@ -1647,7 +1647,7 @@ mod validity_window_tests {
let past = (chrono::Utc::now() - chrono::Duration::days(1)).to_rfc3339(); let past = (chrono::Utc::now() - chrono::Duration::days(1)).to_rfc3339();
let future = (chrono::Utc::now() + chrono::Duration::days(1)).to_rfc3339(); let future = (chrono::Utc::now() + chrono::Duration::days(1)).to_rfc3339();
let e_expired = mkentry("pb-expired", "Nashville", "TN", None, Some(past)); let e_expired = mkentry("pb-expired", "Nashville", "TN", None, Some(past));
let e_alive = mkentry("pb-alive", "Nashville", "TN", None, Some(future)); let e_alive = { let mut e = mkentry("pb-alive", "Nashville", "TN", None, Some(future)); e };
pm.set_entries(vec![e_expired, e_alive]).await.unwrap(); pm.set_entries(vec![e_expired, e_alive]).await.unwrap();
let boosts = pm.compute_boost_for_filtered_with_role( let boosts = pm.compute_boost_for_filtered_with_role(
&[1.0, 0.0, 0.0], 100, 0.5, &[1.0, 0.0, 0.0], 100, 0.5,
+4 -11
View File
@@ -131,11 +131,6 @@ impl PromotionRegistry {
file.history.drain(0..drop); file.history.drain(0..drop);
} }
} }
// Bind `entry` ref-captured for the log line below so the log
// doesn't double-unwrap file.current — entry is Some-by-construction
// at the function boundary; past versions reached in via
// `.as_ref().unwrap()` twice, which compiled but would panic if
// the construction above ever changed.
file.current = Some(entry); file.current = Some(entry);
file.index_name = index_name.to_string(); file.index_name = index_name.to_string();
@@ -145,12 +140,10 @@ impl PromotionRegistry {
ops::put(&store, &key, json.into()).await?; ops::put(&store, &key, json.into()).await?;
self.cache.write().await.insert(index_name.to_string(), file.clone()); self.cache.write().await.insert(index_name.to_string(), file.clone());
if let Some(cur) = &file.current { tracing::info!(
tracing::info!( "promoted '{}' to config {:?} (trial={})",
"promoted '{}' to config {:?} (trial={})", index_name, file.current.as_ref().unwrap().config, file.current.as_ref().unwrap().trial_id,
index_name, cur.config, cur.trial_id, );
);
}
Ok(file) Ok(file)
} }
-2
View File
@@ -308,8 +308,6 @@ async fn try_update_index_meta(
bucket: "primary".to_string(), bucket: "primary".to_string(),
vector_backend: shared::types::VectorBackend::Parquet, vector_backend: shared::types::VectorBackend::Parquet,
id_prefix: None, id_prefix: None,
last_used: None,
build_signature: None,
}; };
index_registry.register(meta).await index_registry.register(meta).await
} }
+251 -359
View File
@@ -7,13 +7,12 @@ use axum::{
}; };
use object_store::ObjectStore; use object_store::ObjectStore;
use serde::{Deserialize, Serialize}; use serde::{Deserialize, Serialize};
use serde_json::json;
use std::sync::Arc; use std::sync::Arc;
use aibridge::client::{AiClient, EmbedRequest, GenerateRequest}; use aibridge::client::{AiClient, EmbedRequest, GenerateRequest};
use catalogd::registry::Registry as CatalogRegistry; use catalogd::registry::Registry as CatalogRegistry;
use storaged::registry::BucketRegistry; use storaged::registry::BucketRegistry;
use crate::{agent, autotune, chunker, embedding_cache, harness, hnsw, index_registry, jobs, lance_backend, pathway_memory, playbook_memory, promotion, rag, refresh, search, store, supervisor, trial}; use crate::{agent, autotune, chunker, embedding_cache, harness, hnsw, index_registry, jobs, lance_backend, playbook_memory, promotion, rag, refresh, search, store, supervisor, trial};
use tokio::sync::Semaphore; use tokio::sync::Semaphore;
#[derive(Clone)] #[derive(Clone)]
@@ -55,11 +54,6 @@ pub struct VectorState {
/// and, when `use_playbook_memory` is set on /vectors/hybrid, boosts /// and, when `use_playbook_memory` is set on /vectors/hybrid, boosts
/// workers that were actually filled in semantically-similar past ops. /// workers that were actually filled in semantically-similar past ops.
pub playbook_memory: playbook_memory::PlaybookMemory, pub playbook_memory: playbook_memory::PlaybookMemory,
/// Pathway memory — consensus-designed sidecar for full-context
/// backtracking + hot-swap of successful review pathways. See
/// crates/vectord/src/pathway_memory.rs for the design rationale
/// (10-probe N=3 ensemble, locked 2026-04-24).
pub pathway_memory: pathway_memory::PathwayMemory,
/// Serializes embed calls from seed_playbook_memory to avoid /// Serializes embed calls from seed_playbook_memory to avoid
/// concurrent socket collisions with the Python sidecar. /// concurrent socket collisions with the Python sidecar.
pub embed_semaphore: Arc<Semaphore>, pub embed_semaphore: Arc<Semaphore>,
@@ -83,10 +77,6 @@ pub fn router(state: VectorState) -> Router {
.route("/indexes/{name}/bucket", axum::routing::patch(migrate_index_bucket)) .route("/indexes/{name}/bucket", axum::routing::patch(migrate_index_bucket))
.route("/jobs", get(list_jobs)) .route("/jobs", get(list_jobs))
.route("/jobs/{id}", get(get_job)) .route("/jobs/{id}", get(get_job))
// PRD Phase 41 alias — docs/CONTROL_PLANE_PRD.md specifies
// GET /vectors/profile/jobs/{id} for polling profile activations.
// Same handler as /jobs/{id}; the alias just matches the PRD URL.
.route("/profile/jobs/{id}", get(get_job))
.route("/search", post(search_index)) .route("/search", post(search_index))
.route("/rag", post(rag_query)) .route("/rag", post(rag_query))
.route("/hybrid", post(hybrid_search)) .route("/hybrid", post(hybrid_search))
@@ -146,22 +136,6 @@ pub fn router(state: VectorState) -> Router {
// Phase 45 slice 3 — doc drift detection + human re-admission. // Phase 45 slice 3 — doc drift detection + human re-admission.
.route("/playbook_memory/doc_drift/check/{id}", post(check_doc_drift)) .route("/playbook_memory/doc_drift/check/{id}", post(check_doc_drift))
.route("/playbook_memory/doc_drift/resolve/{id}", post(resolve_doc_drift)) .route("/playbook_memory/doc_drift/resolve/{id}", post(resolve_doc_drift))
// Pathway memory — consensus-designed sidecar (2026-04-24).
// scrum_master_pipeline POSTs /pathway/insert at the end of each
// review, calls /pathway/query before running the ladder for a
// potential hot-swap, and posts /pathway/record_replay after a
// hot-swap succeeds or fails.
.route("/pathway/insert", post(pathway_insert))
.route("/pathway/query", post(pathway_query))
.route("/pathway/record_replay", post(pathway_record_replay))
.route("/pathway/stats", get(pathway_stats))
// ADR-021 Phase C: pre-review bug-fingerprint retrieval.
.route("/pathway/bug_fingerprints", post(pathway_bug_fingerprints))
// Mem0 ops (J 2026-04-25): upsert/retire/revise/history.
.route("/pathway/upsert", post(pathway_upsert))
.route("/pathway/retire", post(pathway_retire))
.route("/pathway/revise", post(pathway_revise))
.route("/pathway/history/{trace_uid}", get(pathway_history))
.with_state(state) .with_state(state)
} }
@@ -222,7 +196,7 @@ async fn create_index(
let bucket = req.bucket.clone().unwrap_or_else(|| "primary".to_string()); let bucket = req.bucket.clone().unwrap_or_else(|| "primary".to_string());
// Create job and return immediately // Create job and return immediately
let job_id = state.job_tracker.create_embed(&index_name, n_chunks).await; let job_id = state.job_tracker.create(&index_name, n_chunks).await;
tracing::info!("job {job_id}: indexing '{}' — {} docs → {} chunks (background)", index_name, n_docs, n_chunks); tracing::info!("job {job_id}: indexing '{}' — {} docs → {} chunks (background)", index_name, n_docs, n_chunks);
// Spawn supervised dual-pipeline embedding // Spawn supervised dual-pipeline embedding
@@ -262,13 +236,11 @@ async fn create_index(
chunks_per_sec: rate, chunks_per_sec: rate,
bucket: bucket.clone(), bucket: bucket.clone(),
vector_backend: shared::types::VectorBackend::Parquet, vector_backend: shared::types::VectorBackend::Parquet,
id_prefix: None, id_prefix: None,
last_used: None,
build_signature: None,
}; };
let _ = registry.register(meta).await; let _ = registry.register(meta).await;
tracker.complete(&jid, Some(json!({ "storage_key": key }))).await; tracker.complete(&jid, key).await;
tracing::info!("job {jid}: completed — {n_chunks} chunks in {elapsed:.0}s ({rate:.0}/sec)"); tracing::info!("job {jid}: completed — {n_chunks} chunks in {elapsed:.0}s ({rate:.0}/sec)");
} }
Err(e) => { Err(e) => {
@@ -481,6 +453,51 @@ async fn copy_key(
storaged::ops::put(dst, key, data).await storaged::ops::put(dst, key, data).await
} }
// --- unused legacy function below, kept for reference ---
#[allow(dead_code)]
/// Legacy single-pipeline embedding (replaced by supervisor).
async fn _run_embedding_job_legacy(
job_id: &str,
index_name: &str,
chunks: &[chunker::TextChunk],
ai_client: &AiClient,
store: &Arc<dyn ObjectStore>,
tracker: &jobs::JobTracker,
) -> Result<String, String> {
let batch_size = 32;
let mut all_vectors: Vec<Vec<f64>> = Vec::new();
let start = std::time::Instant::now();
for (i, batch) in chunks.chunks(batch_size).enumerate() {
let texts: Vec<String> = batch.iter().map(|c| c.text.clone()).collect();
let embed_resp = ai_client.embed(EmbedRequest {
texts,
model: None,
}).await.map_err(|e| format!("embed batch {} error: {e}", i))?;
all_vectors.extend(embed_resp.embeddings);
// Update progress
let elapsed = start.elapsed().as_secs_f32();
let rate = if elapsed > 0.0 { all_vectors.len() as f32 / elapsed } else { 0.0 };
tracker.update_progress(job_id, all_vectors.len(), rate).await;
// Log every 100 batches
if (i + 1) % 100 == 0 {
let pct = (all_vectors.len() as f32 / chunks.len() as f32) * 100.0;
let eta = if rate > 0.0 { (chunks.len() - all_vectors.len()) as f32 / rate } else { 0.0 };
tracing::info!("job {job_id}: {}/{} chunks ({pct:.0}%), {rate:.0}/sec, ETA {eta:.0}s",
all_vectors.len(), chunks.len());
}
}
// Store
let key = store::store_embeddings(store, index_name, chunks, &all_vectors).await?;
Ok(key)
}
// --- Job Status --- // --- Job Status ---
async fn list_jobs(State(state): State<VectorState>) -> impl IntoResponse { async fn list_jobs(State(state): State<VectorState>) -> impl IntoResponse {
@@ -1354,221 +1371,239 @@ async fn activate_profile(
State(state): State<VectorState>, State(state): State<VectorState>,
Path(profile_id): Path<String>, Path(profile_id): Path<String>,
) -> impl IntoResponse { ) -> impl IntoResponse {
tracing::info!("[activate_profile] START profile_id={}", profile_id); let t0 = std::time::Instant::now();
let profile = match state.catalog.get_profile(&profile_id).await { let profile = match state.catalog.get_profile(&profile_id).await {
Some(p) => p, Some(p) => p,
None => return Err((StatusCode::NOT_FOUND, format!("profile not found: {profile_id}"))), None => return Err((StatusCode::NOT_FOUND, format!("profile not found: {profile_id}"))),
}; };
let job_id = state.job_tracker.create_profile_activation(&profile_id).await; let mut warmed = Vec::new();
let job_id_for_response = job_id.clone(); let mut failures = Vec::new();
let tracker = state.job_tracker.clone(); let mut total_vectors = 0usize;
let _catalog = state.catalog.clone();
let index_registry = state.index_registry.clone();
let bucket_registry = state.bucket_registry.clone();
let lance = state.lance.clone();
let embedding_cache = state.embedding_cache.clone();
let hnsw_store = state.hnsw_store.clone();
let promotion_registry = state.promotion_registry.clone();
let ai_client = state.ai_client.clone();
let active_profile = state.active_profile.clone();
let profile_name = profile.ollama_name.clone();
let profile_id_clone = profile.id.clone();
let profile_bucket = profile.bucket.clone();
let profile_bound = profile.bound_datasets.clone();
let profile_hnsw = profile.hnsw_config.clone();
let profile_backend = profile.vector_backend.clone();
let _profile_full = profile.clone();
tokio::spawn(async move { // Phase 17 / C: VRAM-aware swap. If another profile currently holds
let t0 = std::time::Instant::now(); // the GPU and uses a DIFFERENT Ollama model than the one being
let mut warmed = Vec::new(); // activated, unload it first (keep_alive=0). Same-model activations
let mut failures = Vec::new(); // skip the unload — no point churning a model that's already loaded.
let mut total_vectors = 0usize; let previous_slot = {
let job_id = job_id; let guard = state.active_profile.read().await;
guard.clone()
};
if let Some(prev) = &previous_slot {
if prev.ollama_name != profile.ollama_name {
match state.ai_client.unload_model(&prev.ollama_name).await {
Ok(_) => tracing::info!(
"profile swap: unloaded '{}' ({} -> {})",
prev.ollama_name, prev.profile_id, profile.id,
),
Err(e) => failures.push(format!(
"unload previous model '{}': {e}", prev.ollama_name,
)),
}
}
}
let previous_slot = { // Federation layer 2: if this profile declares its own bucket and
let guard = active_profile.read().await; // that bucket isn't registered yet, auto-provision it under the
guard.clone() // configured profile_root. This is the moment a "dormant" profile
}; // becomes live — its bucket exists and is readable/writable.
if let Some(prev) = &previous_slot { if let Some(bucket_name) = profile.bucket.clone() {
if prev.ollama_name != profile_name { if !state.bucket_registry.contains(&bucket_name) {
match ai_client.unload_model(&prev.ollama_name).await { let root = format!(
Ok(_) => tracing::info!( "{}/{}",
"profile swap: unloaded '{}' ({} -> {})", state.bucket_registry.profile_root().trim_end_matches('/'),
prev.ollama_name, prev.profile_id, profile_id_clone, bucket_name.replace(':', "_"),
), );
Err(e) => failures.push(format!("unload previous model '{}': {e}", prev.ollama_name)), let bc = shared::config::BucketConfig {
name: bucket_name.clone(),
backend: "local".to_string(),
root: Some(root.clone()),
bucket: None,
region: None,
endpoint: None,
secret_ref: None,
};
match state.bucket_registry.add_bucket(bc).await {
Ok(info) => {
tracing::info!(
"profile '{}' activated bucket '{}' (root={}, reachable={})",
profile.id, bucket_name, root, info.reachable,
);
}
Err(e) => {
failures.push(format!(
"auto-provision bucket '{}': {}", bucket_name, e,
));
} }
} }
} }
}
if let Some(bucket_name) = profile_bucket.clone() { let all_indexes = state.index_registry.list(None, None).await;
if !bucket_registry.contains(&bucket_name) { let use_lance = profile.vector_backend == shared::types::VectorBackend::Lance;
let root = format!(
"{}/{}", for binding in &profile.bound_datasets {
bucket_registry.profile_root().trim_end_matches('/'), let matched: Vec<_> = all_indexes
bucket_name.replace(':', "_"), .iter()
); .filter(|m| &m.source == binding)
let bc = shared::config::BucketConfig { .collect();
name: bucket_name.clone(), if matched.is_empty() {
backend: "local".to_string(), failures.push(format!(
root: Some(root.clone()), "no vector index found for binding '{}'", binding,
bucket: None, ));
region: None, continue;
endpoint: None, }
secret_ref: None, for meta in matched {
}; if use_lance {
match bucket_registry.add_bucket(bc).await { // --- Lance activation path ---
Ok(info) => { // Ensure a Lance dataset exists for this index. If it
tracing::info!( // doesn't, auto-migrate from the Parquet blob. Then
"profile '{}' activated bucket '{}' (root={}, reachable={})", // ensure an IVF_PQ index is built.
profile_id_clone, bucket_name, root, info.reachable, let bucket = meta.bucket.clone();
); let lance_store = match state.lance.store_for_new(&meta.index_name, &bucket).await {
Ok(s) => s,
Err(e) => {
failures.push(format!("{}: lance store init: {e}", meta.index_name));
continue;
} }
Err(e) => failures.push(format!("auto-provision bucket '{}': {}", bucket_name, e)), };
} let count = lance_store.count().await.unwrap_or(0);
} if count == 0 {
} // Auto-migrate from existing Parquet.
let pq_store = match state.bucket_registry.get(&bucket) {
let all_indexes = index_registry.list(None, None).await;
let use_lance = profile_backend == shared::types::VectorBackend::Lance;
for binding in &profile_bound {
let matched: Vec<_> = all_indexes
.iter()
.filter(|m| &m.source == binding)
.collect();
if matched.is_empty() {
failures.push(format!("no vector index found for binding '{}'", binding));
continue;
}
for meta in matched {
if use_lance {
let bucket = meta.bucket.clone();
let lance_store = match lance.store_for_new(&meta.index_name, &bucket).await {
Ok(s) => s, Ok(s) => s,
Err(e) => { failures.push(format!("{}: lance store init: {e}", meta.index_name)); continue; } Err(e) => { failures.push(format!("{}: bucket: {e}", meta.index_name)); continue; }
}; };
let count = lance_store.count().await.unwrap_or(0); match storaged::ops::get(&pq_store, &meta.storage_key).await {
if count == 0 { Ok(bytes) => {
let pq_store = match bucket_registry.get(&bucket) { let build_t = std::time::Instant::now();
Ok(s) => s, match lance_store.migrate_from_parquet_bytes(&bytes).await {
Err(e) => { failures.push(format!("{}: bucket: {e}", meta.index_name)); continue; } Ok(ms) => {
}; total_vectors += ms.rows_written;
match storaged::ops::get(&pq_store, &meta.storage_key).await { tracing::info!(
Ok(bytes) => { "lance auto-migrate '{}': {} rows in {:.2}s",
let build_t = std::time::Instant::now(); meta.index_name, ms.rows_written, ms.duration_secs,
match lance_store.migrate_from_parquet_bytes(&bytes).await { );
Ok(ms) => { warmed.push(WarmedIndex {
total_vectors += ms.rows_written; index_name: meta.index_name.clone(),
tracing::info!("lance auto-migrate '{}': {} rows in {:.2}s", meta.index_name, ms.rows_written, ms.duration_secs); source: meta.source.clone(),
warmed.push(WarmedIndex { vectors: ms.rows_written,
index_name: meta.index_name.clone(), hnsw_build_secs: build_t.elapsed().as_secs_f32(),
source: meta.source.clone(), });
vectors: ms.rows_written,
hnsw_build_secs: build_t.elapsed().as_secs_f32(),
});
}
Err(e) => failures.push(format!("{}: lance migrate: {e}", meta.index_name)),
} }
Err(e) => failures.push(format!("{}: lance migrate: {e}", meta.index_name)),
} }
Err(e) => failures.push(format!("{}: read parquet: {e}", meta.index_name)),
} }
} else { Err(e) => failures.push(format!("{}: read parquet: {e}", meta.index_name)),
total_vectors += count; }
} else {
total_vectors += count;
warmed.push(WarmedIndex {
index_name: meta.index_name.clone(),
source: meta.source.clone(),
vectors: count,
hnsw_build_secs: 0.0,
});
}
// Ensure IVF_PQ vector index exists.
if !lance_store.has_vector_index().await.unwrap_or(false) {
match lance_store.build_index(316, 8, 48).await {
Ok(ix) => tracing::info!(
"lance auto-index '{}': IVF_PQ built in {:.1}s",
meta.index_name, ix.build_time_secs,
),
Err(e) => failures.push(format!("{}: lance IVF_PQ build: {e}", meta.index_name)),
}
}
// Ensure scalar btree on doc_id for O(log N) random fetch.
if !lance_store.has_scalar_index("doc_id").await.unwrap_or(false) {
match lance_store.build_scalar_index("doc_id").await {
Ok(ix) => tracing::info!(
"lance auto-index '{}': doc_id btree built in {:.2}s",
meta.index_name, ix.build_time_secs,
),
Err(e) => failures.push(format!("{}: lance doc_id btree: {e}", meta.index_name)),
}
}
} else {
// --- Parquet + HNSW activation path (existing) ---
let embeddings = match state.embedding_cache.get_or_load(&meta.index_name).await {
Ok(arc) => arc,
Err(e) => {
failures.push(format!("{}: load failed: {}", meta.index_name, e));
continue;
}
};
total_vectors += embeddings.len();
let profile_default = trial::HnswConfig {
ef_construction: profile.hnsw_config.ef_construction,
ef_search: profile.hnsw_config.ef_search,
seed: profile.hnsw_config.seed,
};
let cfg = state
.promotion_registry
.config_or(&meta.index_name, profile_default)
.await;
let build_t = std::time::Instant::now();
match state
.hnsw_store
.build_index_with_config(&meta.index_name, (*embeddings).clone(), &cfg)
.await
{
Ok(_) => {
warmed.push(WarmedIndex { warmed.push(WarmedIndex {
index_name: meta.index_name.clone(), index_name: meta.index_name.clone(),
source: meta.source.clone(), source: meta.source.clone(),
vectors: count, vectors: embeddings.len(),
hnsw_build_secs: 0.0, hnsw_build_secs: build_t.elapsed().as_secs_f32(),
}); });
} }
if !lance_store.has_vector_index().await.unwrap_or(false) { Err(e) => {
match lance_store.build_index(316, 8, 48).await { failures.push(format!("{}: HNSW build failed: {}", meta.index_name, e));
Ok(ix) => tracing::info!("lance auto-index '{}': IVF_PQ built in {:.1}s", meta.index_name, ix.build_time_secs),
Err(e) => failures.push(format!("{}: lance IVF_PQ build: {e}", meta.index_name)),
}
}
if !lance_store.has_scalar_index("doc_id").await.unwrap_or(false) {
match lance_store.build_scalar_index("doc_id").await {
Ok(ix) => tracing::info!("lance auto-index '{}': doc_id btree built in {:.2}s", meta.index_name, ix.build_time_secs),
Err(e) => failures.push(format!("{}: lance doc_id btree: {e}", meta.index_name)),
}
}
} else {
let embeddings = match embedding_cache.get_or_load(&meta.index_name).await {
Ok(arc) => arc,
Err(e) => { failures.push(format!("{}: load failed: {}", meta.index_name, e)); continue; }
};
total_vectors += embeddings.len();
let profile_default = trial::HnswConfig {
ef_construction: profile_hnsw.ef_construction,
ef_search: profile_hnsw.ef_search,
seed: profile_hnsw.seed,
};
let cfg = promotion_registry
.config_or(&meta.index_name, profile_default)
.await;
let build_t = std::time::Instant::now();
match hnsw_store
.build_index_with_config(&meta.index_name, (*embeddings).clone(), &cfg)
.await
{
Ok(_) => {
warmed.push(WarmedIndex {
index_name: meta.index_name.clone(),
source: meta.source.clone(),
vectors: embeddings.len(),
hnsw_build_secs: build_t.elapsed().as_secs_f32(),
});
}
Err(e) => failures.push(format!("{}: HNSW build failed: {}", meta.index_name, e)),
} }
} }
} }
} }
}
let mut model_preloaded = false; // Preload the new profile's Ollama model proactively. Same-model
match ai_client.preload_model(&profile_name).await { // re-activations are cheap (Ollama no-ops if already loaded).
Ok(_) => { let mut model_preloaded = false;
model_preloaded = true; match state.ai_client.preload_model(&profile.ollama_name).await {
tracing::info!("profile '{}' preloaded ollama model '{}'", profile_id_clone, profile_name); Ok(_) => {
} model_preloaded = true;
Err(e) => failures.push(format!("preload ollama model '{}': {e}", profile_name)), tracing::info!("profile '{}' preloaded ollama model '{}'",
profile.id, profile.ollama_name);
} }
Err(e) => failures.push(format!(
"preload ollama model '{}': {e}", profile.ollama_name,
)),
}
{ // Take the GPU slot.
let mut guard = active_profile.write().await; {
*guard = Some(ActiveProfileSlot { let mut guard = state.active_profile.write().await;
profile_id: profile_id_clone.clone(), *guard = Some(ActiveProfileSlot {
ollama_name: profile_name.clone(), profile_id: profile.id.clone(),
activated_at: chrono::Utc::now(), ollama_name: profile.ollama_name.clone(),
}); activated_at: chrono::Utc::now(),
} });
}
let result = serde_json::to_value(ActivateReport { let report = ActivateReport {
profile_id: profile_id_clone, profile_id: profile.id,
ollama_name: profile_name, ollama_name: profile.ollama_name,
indexes_warmed: warmed, indexes_warmed: warmed,
failures, failures,
total_vectors, total_vectors,
duration_secs: t0.elapsed().as_secs_f32(), duration_secs: t0.elapsed().as_secs_f32(),
model_preloaded, model_preloaded,
previous_profile: previous_slot.map(|s| s.profile_id), previous_profile: previous_slot.map(|s| s.profile_id),
}).ok(); };
tracker.complete(&job_id, result).await; Ok(Json(report))
});
// PRD Phase 41 gate: "Activate a profile → returns 202 in <100ms
// → job completes in background". 202 ACCEPTED signals async-work
// started; clients poll /vectors/jobs/{job_id} for progress.
Ok((StatusCode::ACCEPTED, Json(json!({
"job_id": job_id_for_response,
"message": format!("profile activation started — poll /vectors/jobs/{} for progress", job_id_for_response),
}))))
} }
/// Unload this profile's model and clear the active slot. No-op if the /// Unload this profile's model and clear the active slot. No-op if the
@@ -2818,149 +2853,6 @@ async fn lance_build_scalar_index(
} }
} }
// ─── Pathway memory handlers ──────────────────────────────────────────
//
// Thin wrappers around pathway_memory::PathwayMemory. HTTP surface is
// deliberately small — four endpoints cover the full lifecycle:
// insert at end-of-review, query before running the ladder,
// record_replay after a hot-swap, and stats for the VCP UI.
#[derive(Deserialize)]
struct PathwayQueryRequest {
task_class: String,
file_path: String,
signal_class: Option<String>,
query_vec: Vec<f32>,
}
async fn pathway_insert(
State(state): State<VectorState>,
Json(trace): Json<pathway_memory::PathwayTrace>,
) -> impl IntoResponse {
match state.pathway_memory.insert(trace).await {
Ok(()) => Ok(Json(json!({"ok": true}))),
Err(e) => Err((StatusCode::INTERNAL_SERVER_ERROR, e)),
}
}
async fn pathway_query(
State(state): State<VectorState>,
Json(req): Json<PathwayQueryRequest>,
) -> impl IntoResponse {
let cand = state
.pathway_memory
.query_hot_swap(
&req.task_class,
&req.file_path,
req.signal_class.as_deref(),
&req.query_vec,
)
.await;
// 200 with null candidate means "no hot-swap"; this is a normal
// path, not an error — callers should proceed with the full ladder.
Json(json!({ "candidate": cand }))
}
#[derive(Deserialize)]
struct PathwayReplayRequest {
pathway_id: String,
succeeded: bool,
}
async fn pathway_record_replay(
State(state): State<VectorState>,
Json(req): Json<PathwayReplayRequest>,
) -> impl IntoResponse {
match state
.pathway_memory
.record_replay_outcome(&req.pathway_id, req.succeeded)
.await
{
Ok(()) => Ok(Json(json!({"ok": true}))),
Err(e) => Err((StatusCode::NOT_FOUND, e)),
}
}
async fn pathway_stats(State(state): State<VectorState>) -> impl IntoResponse {
Json(state.pathway_memory.stats().await)
}
#[derive(Deserialize)]
struct PathwayBugFingerprintsRequest {
task_class: String,
file_path: String,
signal_class: Option<String>,
limit: Option<usize>,
}
async fn pathway_bug_fingerprints(
State(state): State<VectorState>,
Json(req): Json<PathwayBugFingerprintsRequest>,
) -> impl IntoResponse {
let fps = state
.pathway_memory
.bug_fingerprints_for(
&req.task_class,
&req.file_path,
req.signal_class.as_deref(),
req.limit.unwrap_or(5),
)
.await;
Json(json!({ "fingerprints": fps }))
}
// ─── Mem0 ops endpoints (J 2026-04-25) ───
async fn pathway_upsert(
State(state): State<VectorState>,
Json(trace): Json<pathway_memory::PathwayTrace>,
) -> impl IntoResponse {
match state.pathway_memory.upsert(trace).await {
Ok(outcome) => Ok(Json(json!({"ok": true, "outcome": outcome}))),
Err(e) => Err((StatusCode::INTERNAL_SERVER_ERROR, e)),
}
}
#[derive(Deserialize)]
struct PathwayRetireRequest {
trace_uid: String,
reason: String,
}
async fn pathway_retire(
State(state): State<VectorState>,
Json(req): Json<PathwayRetireRequest>,
) -> impl IntoResponse {
match state.pathway_memory.retire(&req.trace_uid, &req.reason).await {
Ok(touched) => Ok(Json(json!({"ok": true, "retired": touched}))),
Err(e) => Err((StatusCode::INTERNAL_SERVER_ERROR, e)),
}
}
#[derive(Deserialize)]
struct PathwayReviseRequest {
parent_trace_uid: String,
new_trace: pathway_memory::PathwayTrace,
}
async fn pathway_revise(
State(state): State<VectorState>,
Json(req): Json<PathwayReviseRequest>,
) -> impl IntoResponse {
match state.pathway_memory.revise(&req.parent_trace_uid, req.new_trace).await {
Ok(outcome) => Ok(Json(json!({"ok": true, "outcome": outcome}))),
Err(e) => Err((StatusCode::INTERNAL_SERVER_ERROR, e)),
}
}
async fn pathway_history(
State(state): State<VectorState>,
axum::extract::Path(trace_uid): axum::extract::Path<String>,
) -> impl IntoResponse {
let chain = state.pathway_memory.history(&trace_uid).await;
Json(json!({"trace_uid": trace_uid, "chain_len": chain.len(), "chain": chain}))
}
#[cfg(test)] #[cfg(test)]
mod extractor_tests { mod extractor_tests {
use super::*; use super::*;
+2 -1
View File
@@ -2,8 +2,9 @@
/// Each embedding index is stored as: source, doc_id, chunk_idx, chunk_text, vector (binary blob). /// Each embedding index is stored as: source, doc_id, chunk_idx, chunk_text, vector (binary blob).
/// Vectors are stored as raw f32 bytes for compact storage and fast loading. /// Vectors are stored as raw f32 bytes for compact storage and fast loading.
use arrow::array::{ArrayRef, BinaryArray, Int32Array, RecordBatch, StringArray}; use arrow::array::{ArrayRef, BinaryArray, Float32Array, Int32Array, RecordBatch, StringArray};
use arrow::datatypes::{DataType, Field, Schema}; use arrow::datatypes::{DataType, Field, Schema};
use bytes::Bytes;
use object_store::ObjectStore; use object_store::ObjectStore;
use std::sync::Arc; use std::sync::Arc;

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