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npm/packages/agentic-synth-examples/examples/advanced/production-pipeline.d.ts

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+/**
+ * ADVANCED TUTORIAL: Production Pipeline
+ *
+ * Build a complete production-ready data generation pipeline with:
+ * - Error handling and retry logic
+ * - Monitoring and metrics
+ * - Rate limiting and cost controls
+ * - Batch processing and caching
+ * - Quality validation
+ *
+ * What you'll learn:
+ * - Production-grade error handling
+ * - Performance monitoring
+ * - Cost optimization
+ * - Scalability patterns
+ * - Deployment best practices
+ *
+ * Prerequisites:
+ * - Complete previous tutorials
+ * - Set GEMINI_API_KEY environment variable
+ * - npm install @ruvector/agentic-synth
+ *
+ * Run: npx tsx examples/advanced/production-pipeline.ts
+ */
+import { GenerationResult } from '@ruvector/agentic-synth';
+interface PipelineConfig {
+    maxRetries: number;
+    retryDelay: number;
+    batchSize: number;
+    maxConcurrency: number;
+    qualityThreshold: number;
+    costBudget: number;
+    rateLimitPerMinute: number;
+    enableCaching: boolean;
+    outputDirectory: string;
+}
+interface PipelineMetrics {
+    totalRequests: number;
+    successfulRequests: number;
+    failedRequests: number;
+    totalDuration: number;
+    totalCost: number;
+    averageQuality: number;
+    cacheHits: number;
+    retries: number;
+    errors: Array<{
+        timestamp: Date;
+        error: string;
+        context: any;
+    }>;
+}
+interface QualityValidator {
+    validate(data: any): {
+        valid: boolean;
+        score: number;
+        issues: string[];
+    };
+}
+declare class ProductionPipeline {
+    private config;
+    private synth;
+    private metrics;
+    private requestsThisMinute;
+    private minuteStartTime;
+    constructor(config?: Partial<PipelineConfig>);
+    private checkRateLimit;
+    private checkCostBudget;
+    private generateWithRetry;
+    private processBatch;
+    run(requests: any[], validator?: QualityValidator): Promise<GenerationResult[]>;
+    private saveResults;
+    private displayMetrics;
+    getMetrics(): PipelineMetrics;
+}
+declare class ProductQualityValidator implements QualityValidator {
+    validate(data: any[]): {
+        valid: boolean;
+        score: number;
+        issues: string[];
+    };
+}
+export { ProductionPipeline, ProductQualityValidator, PipelineConfig, PipelineMetrics };
+//# sourceMappingURL=production-pipeline.d.ts.map