Per-agent request logging, feedback processing, and confidence scoring. - Per-agent metric collection: request_id, model, latency_ms, tokens_in/out, confidence, fallback_used, success - Agent feedback loop: outcome tracking (success/fallback/timeout/error/user_rejected) - Confidence scoring: 50% success + 25% quality + 25% satisfaction (per-agent independent of global) - Cost attribution: Monthly cost report per agent (tokens × model rate) - SLO monitoring: p50/p95/p99 latencies vs per-agent targets - Anomaly detection: σ-based latency spikes, success rate drops, confidence degradation - Full TypeScript types, database schema initialization, comprehensive documentation
13 lines
272 B
JSON
13 lines
272 B
JSON
{
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"extends": "../../tsconfig.json",
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"compilerOptions": {
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"outDir": "./dist",
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"rootDir": "./src",
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"declaration": true,
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"declarationMap": true,
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"sourceMap": true
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},
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"include": ["src/**/*"],
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"exclude": ["node_modules", "dist", "**/*.test.ts"]
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}
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