6 Commits
| Author | SHA1 | Message | Date | |
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root
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a00e9bb438 |
infra: replace gpt-oss with Ollama Pro + OpenCode Zen across hot paths
Some checks failed
lakehouse/auditor 2 blocking issues: State field rename likely incomplete — `opencode_key` may not exist on `self.state`
Ollama Pro plan went live today (39-model fleet on the same
OLLAMA_CLOUD_KEY) and OpenCode Zen was already wired in the gateway
but not consumed. Routing every gpt-oss call site to faster /
stronger replacements:
| Site | gpt-oss → replacement | Why |
|---|---|---|
| ollama_cloud default | gpt-oss:120b → deepseek-v3.2 | newest DeepSeek revision; live-probed `pong` |
| openrouter default | openai/gpt-oss-120b:free → x-ai/grok-4.1-fast | already the scrum LADDER's PRIMARY |
| modes.toml staffing_inference | openai/gpt-oss-120b:free → kimi-k2.6 | coding-specialized, on Ollama Pro |
| modes.toml doc_drift_check | gpt-oss:120b → gemini-3-flash-preview | speed leader for factual checks |
| scrum_master_pipeline tree-split MAP+REDUCE | gpt-oss:120b → gemini-3-flash-preview | latency-dominated path (5-20× per file) |
| bot/propose.ts CLOUD_MODEL | gpt-oss:120b → deepseek-v3.2 | same Ollama key, faster |
| mcp-server/observer.ts overseer label fallback | gpt-oss:120b → claude-opus-4-7 | matches new overseer model |
| crates/gateway/src/execution_loop overseer escalation | ollama_cloud/gpt-oss:120b → opencode/claude-opus-4-7 | frontier reasoning matters here — fires only after local self-correct fails twice; Zen pay-per-token cost is bounded |
Verification:
- `cargo check -p gateway --tests` — clean
- Live probes through localhost:3100/v1/chat:
- `opencode/claude-opus-4-7` → "pong"
- `gemini-3-flash-preview` (ollama_cloud) → "pong"
- `kimi-k2.6` (ollama_cloud) → "pong"
- `deepseek-v3.2` (ollama_cloud) → "Pong! 🏓"
Notes:
- kimi-k2:1t still upstream-broken (HTTP 500 on Ollama Pro probe today,
matches yesterday's memory). Replacement table never picks it.
- The Rust changes need a `systemctl restart lakehouse.service` to
take effect on the running gateway. TS callers reload on next run.
- aibridge/src/context.rs still has gpt-oss:{20b,120b} in its window-
size lookup table; harmless and kept for callers that pass it
explicitly as an override.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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root
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20a039c379 |
auditor: rebuild on mode runner + drop tree-split (use distillation substrate)
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lakehouse/auditor 13 blocking issues: cloud: claim not backed — "Invariants enforced (proven by tests + real run):"
Architectural simplification leveraging Phase 5 distillation work: the auditor no longer pre-extracts facts via per-shard summaries because lakehouse_answers_v1 (gold-standard prior PR audits + observer escalations corpus) supplies cross-PR context through the mode runner's matrix retrieval. Same signal, ~50× fewer cloud calls per audit. Per-audit cost: Before: 168 gpt-oss:120b shard summaries + 3 final inference calls After: 3 deepseek-v3.1:671b mode-runner calls (full retrieval included) Wall-clock on PR #11 (1.36MB diff): Before: ~25 minutes After: 88 seconds (3/3 consensus succeeded) Files: auditor/checks/inference.ts - Default MODEL kimi-k2:1t → deepseek-v3.1:671b. kimi-k2 is hitting sustained Ollama Cloud 500 ISE (verified via repeated trivial probes; multi-hour outage). deepseek is the proven drop-in from Phase 5 distillation acceptance testing. - Dropped treeSplitDiff invocation. Diff truncates to MAX_DIFF_CHARS and goes straight to /v1/mode/execute task_class=pr_audit; mode runner pulls cross-PR context from lakehouse_answers_v1 via matrix retrieval. SHARD_MODEL retained for legacy callCloud compatibility (default qwen3-coder:480b if it ever runs). - extractAndPersistFacts now reads from truncated diff (no scratchpad post-tree-split-removal). auditor/checks/static.ts - serde-derived struct exemption (commit 107a682 shipped this; this commit is the rest of the auditor rebuild it landed alongside) - multi-line template literal awareness in isInsideQuotedString — tracks backtick state across lines so todo!() inside docstrings doesn't trip BLOCK_PATTERNS. crates/gateway/src/v1/mode.rs - pr_audit native runner mode added to VALID_MODES + is_native_mode + flags_for_mode + framing_text. PrAudit framing produces strict JSON {claim_verdicts, unflagged_gaps} for the auditor to parse. config/modes.toml - pr_audit task class with default_model=deepseek-v3.1:671b and matrix_corpus=lakehouse_answers_v1. Documents kimi-k2 outage with link to the swap rationale. Real-data audit on PR #11 head 1b433a9 (which is the PR with all the distillation work + auditor rebuild itself): - Pipeline ran to completion (88s for inference; full audit ~3 min) - 3/3 consensus runs succeeded on deepseek-v3.1:671b - 156 findings: 12 block, 23 warn, 121 info - Block findings are legitimate signal: 12 reviewer claims like "Invariants enforced (proven by tests + real run):" that the truncated diff can't directly verify. The auditor is correctly flagging claim-vs-diff divergence — exactly its job. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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root
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2dbc8dbc83 |
v1/mode: model-aware enrichment downgrade + 3 corpora + variance harness
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lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Pass 5 (5 reps × 4 conditions × 1 file on grok-4.1-fast) showed composing matrix corpora is anti-additive on strong models — composed lakehouse_arch + symbols LOST 5/5 head-to-head vs codereview_isolation (Δ −1.8 grounded findings, p=0.031). Default flips to isolation; matrix path now auto- downgrades when the resolved model is strong. Mode runner: - matrix_corpus is Vec<String> (string OR array via deserialize_string_or_vec) - top_k=6 from each corpus, merge by score, take top 8 globally - chunk tag prefers doc_id over source so reviewer sees [adr:009] vs [lakehouse_arch] - is_weak_model() gate auto-downgrades codereview_lakehouse → codereview_isolation for strong models (default-strong; weak = :free suffix or local last-resort) - LH_FORCE_FULL_ENRICHMENT=1 bypasses for diagnostic runs - EnrichmentSources.downgraded_from records when the gate fires Three corpora indexed via /vectors/index (5849 chunks total): - lakehouse_arch_v1 — ADRs + phases + PRD + scrum spec (93 docs, 2119 chunks) - scrum_findings_v1 — past scrum_reviews.jsonl (168 docs, 1260 chunks; EXCLUDED from defaults — 24% out-of-bounds line citations from cross-file drift) - lakehouse_symbols_v1 — regex-extracted pub items + /// docs (656 docs, 2470 chunks) Experiment infra: - scripts/build_*_corpus.ts — re-runnable when source content changes - scripts/mode_pass5_variance_paid.ts — N reps × M conditions on one file - scripts/mode_pass5_summarize.ts — mean ± σ + head-to-head, parser handles numbered + path-with-line + path-with-symbol finding tables - scripts/mode_compare.ts — groups by mode|corpus when sweeps span corpora - scripts/mode_experiment.ts — default model bumped to x-ai/grok-4.1-fast, --corpus flag for per-call override Decisions + open follow-ups: docs/MODE_RUNNER_TUNING_PLAN.md Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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root
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56bf30cfd8 |
v1/mode: override knobs + staffing native runner + pass 2/3/4 harnesses
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lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
Setup for the corpus-tightening experiment sweep (J 2026-04-26 — "now
is the only cheap window before the corpus gets large and refactoring
costs go up").
Override params on /v1/mode/execute (additive — old callers unaffected):
force_matrix_corpus — Pass 2: try alternate corpora per call
force_relevance_threshold — Pass 2: sweep filter strictness
force_temperature — Pass 3: variance test
New native mode `staffing_inference_lakehouse` (Pass 4):
- Same composer architecture as codereview_lakehouse
- Staffing framing: coordinator producing fillable|contingent|
unfillable verdict + ranked candidate list with playbook citations
- matrix_corpus = workers_500k_v8
- Validates that modes-as-prompt-molders generalizes beyond code
- Framing explicitly says "do NOT fabricate workers" — the staffing
analog of the lakehouse mode's symbol-grounding requirement
Three sweep harnesses:
scripts/mode_pass2_corpus_sweep.ts — 4 corpora × 4 thresholds × 5 files
scripts/mode_pass3_variance.ts — 3 files × 3 temps × 5 reps
scripts/mode_pass4_staffing.ts — 5 fill requests through staffing mode
Each appends per-call rows to data/_kb/mode_experiments.jsonl which
mode_compare.ts already aggregates with grounding column.
Pass 1 (10 files × 5 modes broad sweep) currently running via the
existing scripts/mode_experiment.ts — gateway restart deferred until
it completes so the new override knobs aren't enabled mid-experiment.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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root
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86f63a083d |
v1/mode: codereview_lakehouse native runner — modes are prompt-molders
Some checks failed
lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
J's framing (2026-04-26): "Modes are how you ask ONCE and get BETTER
information — they mold the data, hyperfocus the prompt on this
codebase's needs, so the model gets it right the first time without
the cascading retry ladder."
Built the first concrete native enrichment runner (codereview_lakehouse)
that composes every context primitive the gateway exposes:
1. Focus file content (read from disk OR caller-supplied)
2. Pathway memory bug_fingerprints for this file area (ADR-021
preamble — "📚 BUGS PREVIOUSLY FOUND IN THIS FILE AREA")
3. Matrix corpus search via the task_class's matrix_corpus
4. Relevance filter (observer /relevance) drops adjacency pollution
5. Assembles ONE precise prompt with system framing
6. Single call to /v1/chat with the recommended model
POST /v1/mode/execute dispatches. Native mode → runs the composer.
Non-native mode → 501 NOT_IMPLEMENTED with hint (proxy to LLM Team
/api/run is queued).
Provider hint logic auto-routes by model name shape:
- vendor/model[:tag] → openrouter
- kimi-*/qwen3-coder*/deepseek-v*/mistral-large* → ollama_cloud
- everything else → local ollama
Live test against crates/queryd/src/delta.rs (10593 bytes, 10
historical bug fingerprints, 2 matrix chunks dropped by relevance):
- enriched_chars: 12876
- response_chars: 16346 (14 findings with confidence percentages)
- Model literally cited the pathway memory preamble in finding #7
- One call to free-tier gpt-oss:120b produced what previously
required the 9-rung escalation ladder
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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root
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d277efbfd2 |
v1/mode: task_class → mode/model router (decision-only, phase 1)
Some checks failed
lakehouse/auditor 1 blocking issue: todo!() macro call in tests/real-world/scrum_master_pipeline.ts
HANDOVER §queued (2026-04-25): "Mode router — port LLM Team multi-model
patterns. Pick the right TOOL/MODE for each task class via the matrix,
not cascade through models."
Two-stage architecture:
1. Decision (POST /v1/mode) — pure recommendation, no execution.
Returns {mode, model, decision: {source, fallbacks, matrix_corpus,
notes}} so callers see WHY this mode was picked.
2. Execution (future POST /v1/mode/execute) — proxy to LLM Team
/api/run for modes not yet ported to native Rust runners. Not
wired in this phase.
Splitting decision from execution lets us A/B-test the routing logic
without committing to running every recommendation. The decision
function is pure enough for exhaustive unit tests (3 added).
config/modes.toml — initial map for 5 task_classes (scrum_review,
contract_analysis, staffing_inference, fact_extract, doc_drift_check)
+ a default. matrix_corpus per task is reserved for the future
matrix-informed routing pass.
VALID_MODES list (24 modes) is kept in sync manually with LLM Team's
/api/run handler at /root/llm_team_ui.py:10581. Adding a mode here
without adding it upstream returns 400 from a future proxy.
GET /v1/mode/list — operator introspection so a UI can render the
registry table without re-parsing TOML.
Live-tested: 5 task classes match, unknown classes fall through to
default, force_mode override works + validates, bogus modes return
400 with the valid_modes list.
Updates reference_llm_team_modes.md memory — earlier note claiming
"only extract is registered" was wrong (all 25 are registered).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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