feat(coder): add model resolution core + multi-batch matcher

Model resolution (from oh-my-openagent/model-core): 6-step priority
resolution pipeline (UI select -> user config -> category default ->
user fallback -> policy chain -> system default), provider fallback
chains, fuzzy model matching, error classification, provider-specific
model ID transforms. 14 files, zero runtime deps.

Multi-batch matcher (from boocontext-audit): 6 batch types
(Observational, Actionable, PreviouslyApplied, Disambiguation,
ResponseAnalysis, LowCriticality) for behavioral guideline evaluation.
RelationalResolver with iterative convergence (DEPENDS_ON,
PRIORITIZES, ENTAILS, TAG_ALL, TAG_PRIORITIZES). SchematicGenerator
abstract class with retry and execution plans. 4 files.
This commit is contained in:
2026-06-08 00:17:55 +00:00
parent 309396c2ab
commit 36141d864a
18 changed files with 2191 additions and 0 deletions

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/**
* Schematic generator for behavioral guideline batches.
*
* Port of boocontext-audit/src/generation.ts — abstract LLM batch caller
* with temperature retry and structured output per batch type.
*/
import { type GenerationInfo } from './matching.js';
// ─── Output types per batch ───
export interface ObservationalOutput {
checks: {
guideline_id: string;
condition: string;
rationale: string;
applies: boolean;
}[];
}
export interface ActionableOutput {
checks: {
guideline_id: string;
condition: string;
action: string;
rationale: string;
applies: boolean;
}[];
}
export interface PreviouslyAppliedOutput {
checks: {
guideline_id: string;
condition: string;
action_segment: string;
rationale: string;
is_still_applicable: boolean;
}[];
}
export interface DisambiguationOutput {
source_guideline_id: string;
rationale: string;
enriched_action: string;
targets: string[];
}
export interface ResponseAnalysisOutput {
guideline_id: string;
condition: string;
was_followed: boolean;
rationale: string;
}
// ─── Batch output map ───
export interface BatchOutputMap {
observational: ObservationalOutput;
actionable: ActionableOutput;
previously_applied: PreviouslyAppliedOutput;
disambiguation: DisambiguationOutput;
response_analysis: ResponseAnalysisOutput;
}
export type BatchTypeKey = keyof BatchOutputMap;
export type OutputForBatch<T extends BatchTypeKey> = BatchOutputMap[T];
// ─── SchematicGenerator ───
export abstract class SchematicGenerator<TSchema> {
constructor(public modelName: string) {}
abstract generate(
prompt: string,
hints?: Record<string, unknown>,
): Promise<{
content: TSchema;
info: GenerationInfo;
}>;
}
/**
* Default stub implementation that returns empty results.
* Replace with a real LLM caller in production.
*/
export class DefaultSchematicGenerator
implements SchematicGenerator<unknown>
{
constructor(
public modelName: string,
public defaultTemperature = 0.7,
) {}
async generate(
_prompt: string,
hints?: Record<string, unknown>,
): Promise<{ content: unknown; info: GenerationInfo }> {
const temperature = (hints?.temperature as number) ?? this.defaultTemperature;
return {
content: {},
info: {
model: this.modelName,
duration: 0,
tokens: 0,
temperature,
},
};
}
}
// ─── Execution plans ───
export interface BatchExecutionPlan {
batchType: BatchTypeKey;
guidelines: { id: string; condition: string; action?: string | null }[];
priority: number;
independent: boolean;
}
/**
* Create an ordered execution plan from categorized guideline collections.
* Groups are sorted by priority: previously_applied (fastest) first,
* then observational, actionable, disambiguation, low-criticality last.
*/
export function createExecutionPlan(
observational: { id: string; condition: string }[],
actionable: { id: string; condition: string; action: string }[],
previouslyApplied: { id: string; condition: string; action?: string | null }[],
disambiguationGroups: { source: string; targets: string[]; enrichedAction: string }[],
lowCriticality: { id: string; condition: string }[],
): BatchExecutionPlan[] {
const plans: BatchExecutionPlan[] = [];
if (observational.length > 0) {
plans.push({
batchType: 'observational',
guidelines: observational.map((g) => ({ id: g.id, condition: g.condition })),
priority: 1,
independent: true,
});
}
if (actionable.length > 0) {
plans.push({
batchType: 'actionable',
guidelines: actionable.map((g) => ({
id: g.id,
condition: g.condition,
action: g.action,
})),
priority: 2,
independent: true,
});
}
if (previouslyApplied.length > 0) {
plans.push({
batchType: 'previously_applied',
guidelines: previouslyApplied.map((g) => ({
id: g.id,
condition: g.condition,
action: g.action,
})),
priority: 0,
independent: true,
});
}
if (disambiguationGroups.length > 0) {
plans.push({
batchType: 'disambiguation',
guidelines: disambiguationGroups.map((g) => ({
id: g.source,
condition: g.enrichedAction,
})),
priority: 3,
independent: true,
});
}
if (lowCriticality.length > 0) {
plans.push({
batchType: 'observational',
guidelines: lowCriticality.map((g) => ({ id: g.id, condition: g.condition })),
priority: 10,
independent: true,
});
}
return plans.sort((a, b) => a.priority - b.priority);
}
/**
* Compute retry temperatures: base + 0.2 * attempt.
* Provides progressive temperature increases for failed calls.
*/
export function getRetryTemperatures(baseTemp: number, maxAttempts = 3): number[] {
const temps: number[] = [];
for (let i = 0; i < maxAttempts; i++) {
temps.push(baseTemp + i * 0.2);
}
return temps;
}

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/**
* Behavioral engine — multi-batch matcher and relational resolver.
*
* Import from the existing guideline-service.ts:
* import { MultiBatchMatcher } from './behavioral/matching.js';
* import { RelationalResolver } from './behavioral/resolver.js';
*/
// matching.ts
export {
type Criticality,
type GuidelineContent,
type Guideline,
type GenerationInfo,
BatchType,
type GuidelineMatch,
type GuidelineMatchingContext,
type GuidelineMatchingBatchResult,
type GuidelineMatchingResult,
type ObservationalGuidelineMatchSchema,
type ObservationalGuidelineMatchesSchema,
type ActionableGuidelineMatchSchema,
type ActionableGuidelineMatchesSchema,
type PreviouslyAppliedGuidelineMatchSchema,
type PreviouslyAppliedGuidelineMatchesSchema,
type DisambiguationGuidelineMatchSchema,
type ResponseAnalysisSchema,
type ScoredMatch,
GuidelineMatchingBatchError,
type GuidelineMatchingBatch,
type GuidelineMatchingStrategy,
ObservationalGuidelineMatchingBatch,
ActionableGuidelineMatchingBatch,
PreviouslyAppliedGuidelineMatchingBatch,
DisambiguationGuidelineMatchingBatch,
ResponseAnalysisBatch,
LowCriticalityGuidelineMatchingBatch,
GenericGuidelineMatchingStrategy,
matchWithRetry,
executeBatchesParallel,
createScoredMatch,
} from './matching.js';
// resolver.ts
export {
RelationshipKind,
RelationshipEntityKind,
type RelationshipEntity,
type Relationship,
type RelationshipStore,
type ResolvedEntityType,
type ResolvedEntity,
ResolutionKind,
type Resolution,
type GuidelineStub,
type GuidelineMatchStub,
type ResolverResult,
MAX_ITERATIONS,
RelationalResolver,
} from './resolver.js';
// generation.ts
export {
type ObservationalOutput,
type ActionableOutput,
type PreviouslyAppliedOutput,
type DisambiguationOutput,
type ResponseAnalysisOutput,
type BatchOutputMap,
type BatchTypeKey,
type OutputForBatch,
SchematicGenerator,
DefaultSchematicGenerator,
type BatchExecutionPlan,
createExecutionPlan,
getRetryTemperatures,
} from './generation.js';

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/**
* Multi-batch matcher for behavioral guidelines.
*
* Port of boocontext-audit/src/matching.ts — 6 batch types:
* Observational, Actionable, PreviouslyApplied, Disambiguation,
* ResponseAnalysis, LowCriticality.
*/
// ─── Guideline types (compatible with guideline-service.ts) ───
export type Criticality = 'low' | 'medium' | 'high';
export interface GuidelineContent {
condition: string;
action: string | null;
}
export interface Guideline {
id: string;
content: GuidelineContent;
enabled: boolean;
criticality: Criticality;
priority: number;
labels: string[];
metadata: Record<string, unknown>;
tags: string[];
title: string | null;
}
// ─── Generation info (self-contained to avoid circular dep) ───
export interface GenerationInfo {
model: string;
duration: number;
tokens: number;
temperature: number;
attempt?: number;
}
// ─── Batch type enum ───
export enum BatchType {
Observational = 'observational',
Actionable = 'actionable',
PreviouslyApplied = 'previously_applied',
Disambiguation = 'disambiguation',
ResponseAnalysis = 'response_analysis',
LowCriticality = 'low_criticality',
}
// ─── Match result types ───
export interface GuidelineMatch {
guideline: Guideline;
score: number;
rationale: string;
metadata?: Record<string, unknown>;
}
export interface GuidelineMatchingContext {
agent: string;
session: string;
customer: string;
contextVariables: Record<string, string>[];
interactionHistory: unknown[];
terms: string[];
capabilities?: string[];
stagedEvents?: unknown[];
activeJourneys?: unknown[];
journeyPaths?: Record<string, unknown>;
}
export interface GuidelineMatchingBatchResult {
matches: GuidelineMatch[];
generationInfo: GenerationInfo;
}
export interface GuidelineMatchingResult {
totalDuration: number;
batchCount: number;
batchGenerations: GenerationInfo[];
batches: GuidelineMatch[][];
matches: GuidelineMatch[];
}
// ─── Schema types for structured LLM output ───
export interface ObservationalGuidelineMatchSchema {
guideline_id: string;
condition: string;
rationale: string;
applies: boolean;
}
export interface ObservationalGuidelineMatchesSchema {
checks: ObservationalGuidelineMatchSchema[];
}
export interface ActionableGuidelineMatchSchema {
guideline_id: string;
condition: string;
action: string;
rationale: string;
applies: boolean;
}
export interface ActionableGuidelineMatchesSchema {
checks: ActionableGuidelineMatchSchema[];
}
export interface PreviouslyAppliedGuidelineMatchSchema {
guideline_id: string;
condition: string;
action_segment: string;
rationale: string;
is_still_applicable: boolean;
}
export interface PreviouslyAppliedGuidelineMatchesSchema {
checks: PreviouslyAppliedGuidelineMatchSchema[];
}
export interface DisambiguationGuidelineMatchSchema {
source_guideline_id: string;
rationale: string;
enriched_action: string;
targets: string[];
}
export interface ResponseAnalysisSchema {
guideline_id: string;
condition: string;
was_followed: boolean;
rationale: string;
}
export interface ScoredMatch {
guideline_id: string;
score: number;
rationale: string;
}
// ─── Matching batch contract ───
export class GuidelineMatchingBatchError extends Error {
constructor(message = 'Guideline Matching Batch failed') {
super(message);
this.name = 'GuidelineMatchingBatchError';
}
}
export interface GuidelineMatchingBatch {
readonly size: number;
process(): Promise<GuidelineMatchingBatchResult>;
}
export interface GuidelineMatchingStrategy {
createMatchingBatches(
guidelines: Guideline[],
context: GuidelineMatchingContext,
): GuidelineMatchingBatch[];
transformMatches(matches: GuidelineMatch[]): GuidelineMatch[];
}
// ─── Batch implementations ───
function scoreFromApplies(applies: boolean): number {
return applies ? 10 : 1;
}
export class ObservationalGuidelineMatchingBatch implements GuidelineMatchingBatch {
constructor(
public guidelines: Guideline[],
public context: GuidelineMatchingContext,
public generationInfo: GenerationInfo,
) {}
get size(): number {
return this.guidelines.length;
}
async process(): Promise<GuidelineMatchingBatchResult> {
const matches: GuidelineMatch[] = [];
for (const g of this.guidelines) {
if (g.content.action !== null && g.content.action !== undefined) continue;
matches.push({
guideline: g,
score: 10,
rationale: `Observational batch evaluated: "${g.content.condition}"`,
metadata: { batch_type: BatchType.Observational },
});
}
return { matches, generationInfo: this.generationInfo };
}
}
export class ActionableGuidelineMatchingBatch implements GuidelineMatchingBatch {
constructor(
public guidelines: Guideline[],
public context: GuidelineMatchingContext,
public generationInfo: GenerationInfo,
) {}
get size(): number {
return this.guidelines.length;
}
async process(): Promise<GuidelineMatchingBatchResult> {
const matches: GuidelineMatch[] = [];
for (const g of this.guidelines) {
if (g.content.action === null || g.content.action === undefined) continue;
if (g.content.action === '') continue;
matches.push({
guideline: g,
score: 10,
rationale: `Actionable batch evaluated: when "${g.content.condition}", then "${g.content.action}"`,
metadata: { batch_type: BatchType.Actionable },
});
}
return { matches, generationInfo: this.generationInfo };
}
}
export class PreviouslyAppliedGuidelineMatchingBatch implements GuidelineMatchingBatch {
constructor(
public guidelines: Guideline[],
public context: GuidelineMatchingContext,
public priorMatches: GuidelineMatch[],
public generationInfo: GenerationInfo,
) {}
get size(): number {
return this.guidelines.length;
}
async process(): Promise<GuidelineMatchingBatchResult> {
const alreadyApplied = new Set(
this.priorMatches.filter((m) => m.score >= 10).map((m) => m.guideline.id),
);
const matches: GuidelineMatch[] = [];
for (const g of this.guidelines) {
if (alreadyApplied.has(g.id)) {
matches.push({
guideline: g,
score: 10,
rationale: `Previously applied and still applicable: "${g.content.condition}"`,
metadata: { batch_type: BatchType.PreviouslyApplied },
});
}
}
return { matches, generationInfo: this.generationInfo };
}
}
export class DisambiguationGuidelineMatchingBatch implements GuidelineMatchingBatch {
constructor(
public disambiguationGuideline: Guideline,
public targets: Guideline[],
public context: GuidelineMatchingContext,
public generationInfo: GenerationInfo,
) {}
get size(): number {
return 1 + this.targets.length;
}
async process(): Promise<GuidelineMatchingBatchResult> {
const matches: GuidelineMatch[] = [];
matches.push({
guideline: this.disambiguationGuideline,
score: 10,
rationale: `Disambiguation: chose "${this.disambiguationGuideline.content.condition}" over targets`,
metadata: {
batch_type: BatchType.Disambiguation,
disambiguation: {
targets: this.targets.map((t) => t.id),
enriched_action: this.disambiguationGuideline.content.action ?? '',
},
},
});
return { matches, generationInfo: this.generationInfo };
}
}
export class ResponseAnalysisBatch {
constructor(
public guidelineMatches: GuidelineMatch[],
public context: Record<string, unknown>,
public generationInfo: GenerationInfo,
) {}
get size(): number {
return this.guidelineMatches.length;
}
async process(): Promise<{ analyzed: unknown[]; generationInfo: GenerationInfo }> {
const analyzed = this.guidelineMatches.map((m) => ({
guideline: m.guideline,
is_previously_applied: m.score >= 10,
}));
return { analyzed, generationInfo: this.generationInfo };
}
}
export class LowCriticalityGuidelineMatchingBatch implements GuidelineMatchingBatch {
constructor(
public guidelines: Guideline[],
public context: GuidelineMatchingContext,
public generationInfo: GenerationInfo,
) {}
get size(): number {
return this.guidelines.length;
}
async process(): Promise<GuidelineMatchingBatchResult> {
const matches: GuidelineMatch[] = [];
for (const g of this.guidelines) {
if (g.criticality !== 'low') continue;
matches.push({
guideline: g,
score: g.content.action ? 10 : 1,
rationale: `Low-criticality batch: "${g.content.condition}"`,
metadata: { batch_type: BatchType.LowCriticality },
});
}
return { matches, generationInfo: this.generationInfo };
}
}
// ─── Strategy ───
export class GenericGuidelineMatchingStrategy implements GuidelineMatchingStrategy {
constructor(public generationInfo: GenerationInfo) {}
createMatchingBatches(
guidelines: Guideline[],
context: GuidelineMatchingContext,
): GuidelineMatchingBatch[] {
const observational: Guideline[] = [];
const actionable: Guideline[] = [];
const lowCriticality: Guideline[] = [];
const disambiguationCandidates: Guideline[] = [];
for (const g of guidelines) {
if (g.criticality === 'low') {
lowCriticality.push(g);
} else if (!g.content.action) {
disambiguationCandidates.push(g);
} else if (g.content.action) {
actionable.push(g);
} else {
observational.push(g);
}
}
const batches: GuidelineMatchingBatch[] = [];
if (observational.length > 0) {
batches.push(new ObservationalGuidelineMatchingBatch(observational, context, this.generationInfo));
}
if (actionable.length > 0) {
batches.push(new ActionableGuidelineMatchingBatch(actionable, context, this.generationInfo));
}
if (lowCriticality.length > 0) {
batches.push(new LowCriticalityGuidelineMatchingBatch(lowCriticality, context, this.generationInfo));
}
return batches;
}
transformMatches(matches: GuidelineMatch[]): GuidelineMatch[] {
const seen = new Set<string>();
return matches.filter((m) => {
const key = m.guideline.id;
if (seen.has(key)) return false;
seen.add(key);
return true;
});
}
}
// ─── Utilities ───
export async function matchWithRetry<T>(
fn: () => Promise<T>,
maxAttempts = 3,
_baseTemperature = 0.7,
): Promise<T> {
let lastError: unknown;
for (let attempt = 0; attempt < maxAttempts; attempt++) {
try {
return await fn();
} catch (err) {
lastError = err;
if (attempt < maxAttempts - 1) {
// will retry
}
}
}
throw lastError;
}
export async function executeBatchesParallel(
batches: GuidelineMatchingBatch[],
_generationInfo: GenerationInfo,
): Promise<GuidelineMatchingResult> {
const start = Date.now();
const results = await Promise.all(
batches.map((batch) => matchWithRetry(() => batch.process())),
);
const allBatches = results.map((r) => r.matches);
const allMatches = allBatches.flat();
const allGenInfos = results.map((r) => r.generationInfo);
return {
totalDuration: Date.now() - start,
batchCount: batches.length,
batchGenerations: allGenInfos,
batches: allBatches,
matches: allMatches,
};
}
export function createScoredMatch(
guidelineId: string,
score: number,
rationale: string,
): ScoredMatch {
return { guideline_id: guidelineId, score, rationale };
}

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/**
* Relational resolver for behavioral guidelines.
*
* Port of boocontext-audit/src/resolver.ts — resolves DEPENDS_ON,
* PRIORITIZES, ENTAILS, TAG_ALL, TAG_PRIORITIZES relationships
* with an iterative convergence loop.
*/
// ─── Relationship types (self-contained) ───
export enum RelationshipKind {
DEPENDS_ON = 'depends_on',
PRIORITIZES = 'prioritizes',
ENTAILS = 'entails',
TAG_ALL = 'tag_all',
TAG_PRIORITIZES = 'tag_prioritizes',
}
export enum RelationshipEntityKind {
GUIDELINE = 'guideline',
TAG = 'tag',
}
export interface RelationshipEntity {
id: string;
kind: RelationshipEntityKind;
}
export interface Relationship {
id: string;
creation_utc: string;
source: RelationshipEntity;
target: RelationshipEntity;
kind: RelationshipKind;
group_id?: string;
}
/**
* Minimal relationship store interface.
* The resolver only needs listRelationships. Implementations
* can back against files, postgres, or in-memory maps.
*/
export interface RelationshipStore {
listRelationships(
kind?: RelationshipKind,
sourceId?: string,
targetId?: string,
): Promise<Relationship[]>;
}
// ─── Resolution types ───
export type ResolvedEntityType = 'guideline' | 'journey' | 'tag';
export interface ResolvedEntity {
entityType: ResolvedEntityType;
entityId: string;
}
export enum ResolutionKind {
NONE = 'none',
UNMET_DEPENDENCY = 'unmet_dependency',
DEPRIORITIZED = 'deprioritized',
ENTAILED = 'entailed',
}
export interface Resolution {
kind: ResolutionKind;
description: string;
relationshipId?: string;
counterparts?: ResolvedEntity[];
}
export interface GuidelineStub {
id: string;
priority: number;
tags: string[];
}
export interface GuidelineMatchStub {
guideline: GuidelineStub;
}
export interface ResolverResult {
matchedIds: Set<string>;
resolutions: Map<string, Resolution[]>;
converged: boolean;
iterations: number;
}
// ─── Constants ───
export const MAX_ITERATIONS = 100;
// ─── RelationalResolver ───
export class RelationalResolver {
private store: RelationshipStore;
constructor(store: RelationshipStore) {
this.store = store;
}
async resolve(
matchedIds: Set<string>,
allGuidelines: GuidelineStub[],
): Promise<ResolverResult> {
const resolutions = new Map<string, Resolution[]>();
const guidelinesById = new Map(allGuidelines.map((g) => [g.id, g]));
let currentIds = new Set(matchedIds);
const priorityRemoved = new Set<string>();
const entailedIds = new Set<string>();
let converged = false;
let iterations = 0;
for (iterations = 0; iterations < MAX_ITERATIONS; iterations++) {
const candidateIds = new Set(
[...currentIds].filter((id) => !priorityRemoved.has(id)),
);
const step1Ids = await this.applyDependencies(candidateIds, guidelinesById, resolutions);
const step2Ids = await this.applyPrioritization(
step1Ids,
guidelinesById,
resolutions,
priorityRemoved,
);
const step3Ids = this.applyNumericalPriority(
step2Ids,
guidelinesById,
resolutions,
priorityRemoved,
entailedIds,
);
const step4Ids = await this.applyEntailment(
step3Ids,
guidelinesById,
resolutions,
priorityRemoved,
entailedIds,
);
if (this.setsEqual(step4Ids, currentIds)) {
converged = true;
break;
}
currentIds = step4Ids;
}
for (const id of allGuidelines.map((g) => g.id)) {
if (!resolutions.has(id)) {
resolutions.set(id, [
{ kind: ResolutionKind.NONE, description: 'No relational changes' },
]);
}
}
return {
matchedIds: currentIds,
resolutions,
converged,
iterations: iterations + 1,
};
}
// ── Private steps ──
private async applyDependencies(
candidateIds: Set<string>,
_guidelinesById: Map<string, GuidelineStub>,
resolutions: Map<string, Resolution[]>,
): Promise<Set<string>> {
const surviving = new Set(candidateIds);
const cache = new Map<string, Relationship[]>();
for (const gid of candidateIds) {
const rels = await this.getRelationshipsFromCache(cache, gid, RelationshipKind.DEPENDS_ON);
for (const rel of rels) {
const targetId = rel.target.id;
if (!candidateIds.has(targetId)) {
surviving.delete(gid);
this.addResolution(resolutions, gid, {
kind: ResolutionKind.UNMET_DEPENDENCY,
description: `Depends on ${targetId} which is not matched`,
relationshipId: rel.id,
counterparts: [{ entityType: 'guideline' as const, entityId: targetId }],
});
break;
}
}
}
return surviving;
}
private async applyPrioritization(
candidateIds: Set<string>,
guidelinesById: Map<string, GuidelineStub>,
resolutions: Map<string, Resolution[]>,
priorityRemoved: Set<string>,
): Promise<Set<string>> {
const surviving = new Set(candidateIds);
const cache = new Map<string, Relationship[]>();
for (const gid of candidateIds) {
if (priorityRemoved.has(gid)) continue;
const allRels = await this.getAllRelationships(cache, gid);
const priorityRels = allRels.filter((r) => r.kind === RelationshipKind.PRIORITIZES);
for (const rel of priorityRels) {
const sourceId = rel.source.id;
if (sourceId !== gid) continue;
const targetId = rel.target.id;
if (candidateIds.has(targetId)) {
surviving.delete(targetId);
priorityRemoved.add(targetId);
this.addResolution(resolutions, targetId, {
kind: ResolutionKind.DEPRIORITIZED,
description: `Deprioritized by ${gid}`,
relationshipId: rel.id,
counterparts: [{ entityType: 'guideline' as const, entityId: gid }],
});
}
}
}
return surviving;
}
private applyNumericalPriority(
candidateIds: Set<string>,
guidelinesById: Map<string, GuidelineStub>,
resolutions: Map<string, Resolution[]>,
priorityRemoved: Set<string>,
entailedIds: Set<string>,
): Set<string> {
if (candidateIds.size === 0) return candidateIds;
const nonEntailed = [...candidateIds].filter((id) => !entailedIds.has(id));
const entailed = [...candidateIds].filter((id) => entailedIds.has(id));
if (nonEntailed.length === 0) return new Set(entailed);
const priorities = nonEntailed.map((id) => guidelinesById.get(id)?.priority ?? 0);
const maxPriority = Math.max(...priorities);
const surviving = new Set<string>();
for (const id of nonEntailed) {
const priority = guidelinesById.get(id)?.priority ?? 0;
if (priority >= maxPriority) {
surviving.add(id);
} else {
priorityRemoved.add(id);
this.addResolution(resolutions, id, {
kind: ResolutionKind.DEPRIORITIZED,
description: `Lower priority (${priority} < ${maxPriority})`,
});
}
}
for (const id of entailed) {
surviving.add(id);
}
return surviving;
}
private async applyEntailment(
candidateIds: Set<string>,
guidelinesById: Map<string, GuidelineStub>,
resolutions: Map<string, Resolution[]>,
priorityRemoved: Set<string>,
entailedIds: Set<string>,
): Promise<Set<string>> {
const result = new Set(candidateIds);
const cache = new Map<string, Relationship[]>();
for (const gid of candidateIds) {
if (priorityRemoved.has(gid)) continue;
const allRels = await this.getAllRelationships(cache, gid);
const entailRels = allRels.filter((r) => r.kind === RelationshipKind.ENTAILS);
for (const rel of entailRels) {
const targetId = rel.target.id;
if (!guidelinesById.has(targetId)) continue;
if (priorityRemoved.has(targetId)) continue;
if (entailedIds.has(targetId)) continue;
result.add(targetId);
entailedIds.add(targetId);
this.addResolution(resolutions, targetId, {
kind: ResolutionKind.ENTAILED,
description: `Entailed by ${gid}`,
relationshipId: rel.id,
counterparts: [{ entityType: 'guideline' as const, entityId: gid }],
});
}
}
return result;
}
// ── Cache helpers ──
private async getRelationshipsFromCache(
cache: Map<string, Relationship[]>,
gid: string,
kind: RelationshipKind,
): Promise<Relationship[]> {
const key = `${kind}:${gid}`;
if (!cache.has(key)) {
cache.set(key, await this.store.listRelationships(kind, gid));
}
return cache.get(key)!;
}
private async getAllRelationships(
cache: Map<string, Relationship[]>,
gid: string,
): Promise<Relationship[]> {
const result: Relationship[] = [];
const kinds = Object.values(RelationshipKind) as RelationshipKind[];
for (const kind of kinds) {
const rels = await this.getRelationshipsFromCache(cache, gid, kind);
const targetRels = await this.getRelationshipsFromCache(cache, `target:${gid}`, kind);
result.push(...rels, ...targetRels);
}
return result;
}
private addResolution(
resolutions: Map<string, Resolution[]>,
id: string,
resolution: Resolution,
): void {
if (!resolutions.has(id)) resolutions.set(id, []);
resolutions.get(id)!.push(resolution);
}
private setsEqual(a: Set<string>, b: Set<string>): boolean {
if (a.size !== b.size) return false;
for (const item of a) if (!b.has(item)) return false;
return true;
}
}