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npm/packages/agentic-synth-examples/examples/intermediate/self-learning-system.d.ts

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+/**
+ * INTERMEDIATE TUTORIAL: Self-Learning System
+ *
+ * Build an adaptive AI system that improves its output quality over time
+ * through feedback loops and pattern recognition. This demonstrates how
+ * to create systems that learn from their mistakes and successes.
+ *
+ * What you'll learn:
+ * - Building feedback loops
+ * - Tracking quality improvements
+ * - Adaptive prompt engineering
+ * - Learning from examples
+ *
+ * Prerequisites:
+ * - Set GEMINI_API_KEY environment variable
+ * - npm install dspy.ts @ruvector/agentic-synth
+ *
+ * Run: npx tsx examples/intermediate/self-learning-system.ts
+ */
+import { Prediction } from 'dspy.ts';
+interface LearningConfig {
+    targetQualityThreshold: number;
+    maxIterations: number;
+    improvementRate: number;
+    minImprovement: number;
+}
+interface Feedback {
+    quality: number;
+    strengths: string[];
+    weaknesses: string[];
+    suggestions: string[];
+}
+interface LearningEntry {
+    iteration: number;
+    quality: number;
+    output: Prediction;
+    feedback: Feedback;
+    promptModifications: string[];
+    timestamp: Date;
+}
+declare class SelfLearningGenerator {
+    private lm;
+    private history;
+    private config;
+    private basePrompt;
+    private currentPromptAdditions;
+    constructor(config?: Partial<LearningConfig>);
+    private evaluateOutput;
+    private adaptPrompt;
+    private generate;
+    learn(input: any, criteria?: any): Promise<void>;
+    private displaySummary;
+    getLearnedImprovements(): string[];
+    getHistory(): LearningEntry[];
+}
+export { SelfLearningGenerator, LearningConfig, LearningEntry };
+//# sourceMappingURL=self-learning-system.d.ts.map