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npm/packages/agentic-synth-examples/examples/advanced/custom-learning-system.d.ts

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+/**
+ * ADVANCED TUTORIAL: Custom Learning System
+ *
+ * Extend the self-learning system with custom optimization strategies,
+ * domain-specific learning, and advanced evaluation metrics. Perfect for
+ * building production-grade adaptive AI systems.
+ *
+ * What you'll learn:
+ * - Creating custom evaluators
+ * - Domain-specific optimization
+ * - Advanced feedback loops
+ * - Multi-objective optimization
+ * - Transfer learning patterns
+ *
+ * Prerequisites:
+ * - Complete intermediate tutorials first
+ * - Set GEMINI_API_KEY environment variable
+ * - npm install dspy.ts @ruvector/agentic-synth
+ *
+ * Run: npx tsx examples/advanced/custom-learning-system.ts
+ */
+import { Prediction } from 'dspy.ts';
+interface EvaluationMetrics {
+    accuracy: number;
+    creativity: number;
+    relevance: number;
+    engagement: number;
+    technicalQuality: number;
+    overall: number;
+}
+interface AdvancedLearningConfig {
+    domain: string;
+    objectives: string[];
+    weights: Record<string, number>;
+    learningStrategy: 'aggressive' | 'conservative' | 'adaptive';
+    convergenceThreshold: number;
+    diversityBonus: boolean;
+    transferLearning: boolean;
+}
+interface TrainingExample {
+    input: any;
+    expectedOutput: any;
+    quality: number;
+    metadata: {
+        domain: string;
+        difficulty: 'easy' | 'medium' | 'hard';
+        tags: string[];
+    };
+}
+interface Evaluator {
+    evaluate(output: Prediction, context: any): Promise<EvaluationMetrics>;
+}
+declare class EcommerceEvaluator implements Evaluator {
+    evaluate(output: Prediction, context: any): Promise<EvaluationMetrics>;
+}
+declare class AdvancedLearningSystem {
+    private lm;
+    private config;
+    private evaluator;
+    private knowledgeBase;
+    private promptStrategies;
+    constructor(config: AdvancedLearningConfig, evaluator: Evaluator);
+    private getTemperatureForStrategy;
+    learnFromExample(example: TrainingExample): Promise<void>;
+    train(examples: TrainingExample[]): Promise<void>;
+    private generate;
+    private findSimilarExamples;
+    private displayTrainingResults;
+    test(testCases: any[]): Promise<void>;
+}
+export { AdvancedLearningSystem, EcommerceEvaluator, AdvancedLearningConfig };
+//# sourceMappingURL=custom-learning-system.d.ts.map