143 lines
4.0 KiB
Plaintext
143 lines
4.0 KiB
Plaintext
# Trust Vector Calibration Configuration
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# This file controls how trust vectors are automatically adjusted based on empirical feedback
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# Calibration service configuration
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calibration:
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enabled: true
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# Calibration epoch configuration
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# An epoch is a period during which feedback is collected before adjustments are applied
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epoch:
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# How often to run calibration (in days)
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intervalDays: 30
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# Minimum samples required before calibration runs
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minimumSamples: 100
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# Maximum samples to consider per epoch (prevents over-fitting)
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maximumSamples: 10000
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# Learning rate configuration
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# Controls how aggressively trust vectors are adjusted
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learningRate:
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# Base learning rate (0.0 = no change, 1.0 = full replacement)
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base: 0.15
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# Adaptive learning based on confidence in calibration data
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adaptive: true
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# Reduce learning rate when variance is high
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varianceReduction: true
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# Maximum adjustment per epoch (safety limit)
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maxAdjustmentPerEpoch: 0.25
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# Feedback sources
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# Where calibration data comes from
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feedbackSources:
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# Ground truth from reachability analysis
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- source: "reachability"
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weight: 1.0
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enabled: true
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# Customer-reported false positives/negatives
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- source: "customer_feedback"
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weight: 0.8
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enabled: true
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# Automated testing results
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- source: "integration_tests"
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weight: 0.7
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enabled: false # Only enable if test suite is comprehensive
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# Provider-specific calibration settings
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providerCalibration:
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# Enable per-provider calibration (vs. global only)
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perProviderEnabled: true
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# Minimum samples needed for provider-specific calibration
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providerMinimumSamples: 50
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# Fall back to global calibration if insufficient provider samples
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fallbackToGlobal: true
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# Calibration manifest signing
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manifest:
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# Sign calibration manifests for auditability
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signManifests: true
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# Signature algorithm
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signatureAlgorithm: "EdDSA" # or "RSA", "ECDSA"
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# Store manifests for historical analysis
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storeManifests: true
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# Retention period for calibration manifests (days)
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retentionDays: 365
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# Rollback configuration
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rollback:
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# Enable automatic rollback if calibration degrades performance
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enabled: true
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# Threshold for automatic rollback (performance degradation %)
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degradationThreshold: 10
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# Evaluation window for rollback decision (days)
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evaluationWindowDays: 7
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# Alerts and notifications
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alerts:
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# Notify when calibration epoch completes
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onEpochComplete: true
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# Notify when significant adjustments are made
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onSignificantAdjustment: true
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significantAdjustmentThreshold: 0.15
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# Notify when calibration fails or is rolled back
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onFailureOrRollback: true
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# Comparison engine configuration
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# How calibration compares expected vs. actual outcomes
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comparisonEngine:
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# Metrics to track
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metrics:
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- precision # True positives / (True positives + False positives)
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- recall # True positives / (True positives + False negatives)
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- f1Score # Harmonic mean of precision and recall
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- falsePositiveRate
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- falseNegativeRate
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# Weighting of metrics in optimization
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metricWeights:
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precision: 0.4
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recall: 0.4
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f1Score: 0.2
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# Comparison granularity
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granularity:
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byProvider: true # Track performance per provider
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bySeverity: true # Track performance per CVE severity
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byStatus: true # Track performance per VEX status
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# Calibration storage
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storage:
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# PostgreSQL schema for calibration data
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schema: "excititor_calibration"
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# Table for calibration manifests
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manifestsTable: "calibration_manifests"
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# Table for feedback samples
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samplesTable: "calibration_samples"
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# Table for adjustment history
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adjustmentsTable: "trust_vector_adjustments"
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# Environment variable overrides
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# STELLAOPS_CALIBRATION_ENABLED=true
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# STELLAOPS_CALIBRATION_EPOCH_INTERVAL_DAYS=30
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# STELLAOPS_CALIBRATION_LEARNING_RATE=0.15
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# STELLAOPS_CALIBRATION_MIN_SAMPLES=100
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