master
3 Commits
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Thomas Bayes
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23fdf49ff2 |
M4: resource agent, envelopes live, review loop, insight cards
- packages/domain: AwardNotice, DISPATCH_PLAN proposal payload, ExecutionReport, MeteringRecord, potential-assessment and dispatch-optimization contracts, ReviewFinding (+ typed writebacks), SemanticMemoryEntry, EnvelopeChangeRequest, InsightCard — exported with fixtures on both sides. - skills-py: potential-assessment (certified × rolling fulfilment, evidence days) and dispatch-optimization (per-interval LP on HiGHS, shortfall reported) skills + routes + tests. - packages/services: dispatch rules in the policy pack (over-allocation, award anchor, lineage integrity for allocations); PowerBalanceSimulator; SimulationGateway (permit-only, idempotent, seeded execute → ExecutionReports); envelope deviation-streak suspension + apply(); ReviewService (attribution, reliability EWMA writeback, semantic memory, envelope recommendations as change requests); dispatch assembler; skill client methods. - packages/runtime: resource agent; award-decomposition, review and envelope-review workflows; lifecycle selects simulator/gateway by proposal type; trigger hooks for awards, execution reports, metering; decide() resumes either lifecycle or envelope-review runs; insight cards API. - Tests: docs/07 D-1 16:00 and D+1 end to end; reliability score 0.9 → 0.880 and the next assessment de-rates capacity; envelope suspension on a seeded 3-day streak; WIDEN request applied only by a human. 184 TS + 80 Python. - docs/open-questions: B10 (reliability/potential parameters). README and CLAUDE.md status → M4 done, M5 next. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UoYoGYzHkFyv3ALenkRPhA |
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Thomas Bayes
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1cc21e0dc6 |
M3: Mastra runtime, safety chain, two agents, Case Desk v1
- packages/domain: safety-chain objects (ValidationResult, SimulationResult, EnvelopeMatch, StaleDenial, ExecutionReceipt, LineageRef/BidProposalDraft, RouterDecision, BidExportFile) + fixtures on both sides. - packages/services: proposal digest; PolicyEngine + hubei-spot-bidding pack (digest-valid, bid-format, price-limits, quantity-non-negative, ledger-consistency, lineage-integrity, originator-permission — each with pass/fail tests); EnvelopeService; AuthorityService (fresh check, permits, revoke, gateway validate); FileExportGateway (idempotent receipts); Memory/File EventBus; LineageRecorder + P2 assembler; RevenueScenario simulator; CaseDeskService; FsRepository; skill HTTP client moved here. - packages/runtime: createRuntime (LibSQL storage, per-runtime workflow factories), proposal-lifecycle (rule check → simulation → envelope gate with suspend/resume → fresh check + permit → release), day-ahead-situation, day-ahead-bid, TriggerService (scheduled/event/manual), LlmPort (Mastra/Scripted/Null), Case Desk HTTP API, dev entry point. - Tests: all eight docs/01 invariants, docs/07 06:00→08:30 end to end with LLM down, restart survival of a suspended approval, permit expiry and revocation, replay of a released proposal, trigger scheduling. 141 TS + 60 Python tests. - Known gaps: ledger not yet persisted (replayed on restart); STALE ends the run instead of looping to rule check; synthetic data stands in for historical replay. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UoYoGYzHkFyv3ALenkRPhA |
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Thomas Bayes
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8796faca63 |
M2: skill contracts, Python skill service, L2 eval harness with baseline
- packages/domain: ForecastRequest, BidOptimizationRequest/Result,
ReportRequest, SkillReport (+ golden and invalid fixtures, exported to
contracts/ and regenerated as pydantic models).
- skills-py/vpp_skills: FastAPI service with versioned registry; load/PV/
price forecasts (same-day-type EWM point forecast, conformal residual
quantiles — coverage test as acceptance gate); bid-optimization MILP on
HiGHS (binary block participation, hard ledger energy bounds, exact
Decimal fit of the rounded curve inside the bounds, revenue distribution
over quantile paths); report generator whose every figure is a
{tool_call_id, path} reference, with a verifier. 48 tests incl. hypothesis
property test that bids respect ledger constraints.
- packages/services: LedgerService.dayAheadBounds (the P7 cascade band
handed to the optimizer); Decimal resolved once for CJS/ESM interop.
- packages/evals: L2 metrics (MAPE, nRMSE, coverage, direction accuracy,
naive/hindsight revenue baselines), HTTP skill client, rolling-origin
harness that pushes each bid through the real ledger, CLI with
--check/--write-baseline; committed baseline on the SYNTHETIC dataset
(no historical Hubei data yet — baselines measure the harness, not KPI).
- CI: evals job boots the skill service and fails on baseline digest drift.
- docs/open-questions: A6 (flexibility marginal cost = offer floor); A4/B6
wired as placeholders. README/CLAUDE.md status → M2 done, M3 next.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UoYoGYzHkFyv3ALenkRPhA
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