vpp-ai-platform/contracts/schema/review_finding.json

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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
2026-09-02 19:31:12 -04:00
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"id": {
"type": "string",
"minLength": 1
},
"market_date": {
"type": "string",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$"
},
"kind": {
"type": "string",
"enum": [
"FORECAST",
"RESPONSE",
"TRADING",
"CONTROL"
]
},
"summary": {
"type": "string",
"minLength": 1
},
"attribution": {
"type": "object",
"properties": {
"trading_mwh": {
"type": "string",
"pattern": "^-?\\d+(\\.\\d+)?$"
},
"control_mwh": {
"type": "string",
"pattern": "^-?\\d+(\\.\\d+)?$"
},
"response_mwh": {
"type": "string",
"pattern": "^-?\\d+(\\.\\d+)?$"
},
"forecast_load_mape": {
"anyOf": [
{
"type": "string",
"pattern": "^-?\\d+(\\.\\d+)?$"
},
{
"type": "null"
}
]
},
"forecast_price_mape": {
"anyOf": [
{
"type": "string",
"pattern": "^-?\\d+(\\.\\d+)?$"
},
{
"type": "null"
}
]
},
"net_deviation_mwh": {
"type": "string",
"pattern": "^-?\\d+(\\.\\d+)?$"
}
},
"required": [
"trading_mwh",
"control_mwh",
"response_mwh",
"forecast_load_mape",
"forecast_price_mape",
"net_deviation_mwh"
],
"additionalProperties": false
},
"writebacks": {
"type": "array",
"items": {
"oneOf": [
{
"type": "object",
"properties": {
"target": {
"type": "string",
"const": "SEMANTIC_MEMORY"
},
"topic": {
"type": "string",
"minLength": 1
},
"lesson": {
"type": "string",
"minLength": 1
}
},
"required": [
"target",
"topic",
"lesson"
],
"additionalProperties": false
},
{
"type": "object",
"properties": {
"target": {
"type": "string",
"const": "RESOURCE_PROFILE"
},
"resource_id": {
"type": "string",
"minLength": 1
},
"previous_reliability_score": {
"type": "string",
"pattern": "^-?\\d+(\\.\\d+)?$"
},
"new_reliability_score": {
"type": "string",
"pattern": "^-?\\d+(\\.\\d+)?$"
},
"fulfillment_ratio": {
"type": "string",
"pattern": "^-?\\d+(\\.\\d+)?$"
}
},
"required": [
"target",
"resource_id",
"previous_reliability_score",
"new_reliability_score",
"fulfillment_ratio"
],
"additionalProperties": false
},
{
"type": "object",
"properties": {
"target": {
"type": "string",
"const": "ENVELOPE_RECOMMENDATION"
},
"envelope_id": {
"type": "string",
"minLength": 1
},
"action": {
"type": "string",
"enum": [
"WIDEN",
"NARROW",
"SUSPEND",
"KEEP"
]
},
"bound": {
"type": "string",
"minLength": 1
},
"current_value": {
"type": "string",
"pattern": "^-?\\d+(\\.\\d+)?$"
},
"recommended_value": {
"type": "string",
"pattern": "^-?\\d+(\\.\\d+)?$"
},
"basis": {
"type": "string",
"minLength": 1
}
},
"required": [
"target",
"envelope_id",
"action",
"bound",
"current_value",
"recommended_value",
"basis"
],
"additionalProperties": false
}
]
}
},
"evidence_refs": {
"type": "array",
"items": {
"type": "string",
"pattern": "^[0-9a-f]{64}$"
}
},
"lineage_refs": {
"type": "array",
"items": {
"type": "object",
"properties": {
"tool_call_id": {
"type": "string",
"minLength": 1
},
"path": {
"type": "string",
"minLength": 1
}
},
"required": [
"tool_call_id",
"path"
],
"additionalProperties": false
}
},
"generated_at": {
"type": "string",
"format": "date-time",
"pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))T(?:(?:[01]\\d|2[0-3]):[0-5]\\d:[0-5]\\d(?:\\.\\d+)?(?:Z))$"
}
},
"required": [
"id",
"market_date",
"kind",
"summary",
"attribution",
"writebacks",
"evidence_refs",
"lineage_refs",
"generated_at"
],
"additionalProperties": false,
"$id": "https://vpp-ai-platform/contracts/review_finding.json",
"title": "ReviewFinding"
}