genkitx-langfuse/lib/index.mjs.map

Genkit AI framework plugin for Langfuse observability and tracing.

{"version":3,"sources":["../src/index.ts","../src/telemetry-provider.ts","../src/exporter.ts","../src/metadata-extractor.ts"],"sourcesContent":["// Plugin interface based on genkit configuration structure\nimport { genkitPlugin, type GenkitPlugin } from 'genkit/plugin';\nimport { enableTelemetry } from 'genkit/tracing';\nimport { LangfuseTelemetryProvider } from './telemetry-provider.js';\nimport type { LangfuseConfig } from './types.js';\n\n/**\n * Langfuse plugin for Genkit that enables observability and tracing.\n * \n * @param config Langfuse configuration options\n * @returns Genkit plugin configuration\n * \n * @example\n * ```typescript\n * import { genkit } from 'genkit';\n * import { langfuse } from 'genkit-langfuse';\n * \n * const ai = genkit({\n *   plugins: [\n *     langfuse({\n *       secretKey: process.env.LANGFUSE_SECRET_KEY!,\n *       publicKey: process.env.LANGFUSE_PUBLIC_KEY!,\n *       baseUrl: process.env.LANGFUSE_BASE_URL, // optional\n *       debug: true, // optional\n *     })\n *   ],\n * });\n * ```\n */\nexport function langfuse(config: LangfuseConfig): GenkitPlugin {\n  return genkitPlugin('langfuse', async () => {\n    if (config.debug) {\n      console.log('🔧 [DEBUG] Initializing Langfuse plugin');\n    }\n    \n    const telemetryProvider = new LangfuseTelemetryProvider(config);\n    \n    // Enable telemetry through genkit's enableTelemetry function\n    await enableTelemetry(telemetryProvider.getConfig());\n    \n    if (config.debug) {\n      console.log('✅ [DEBUG] Langfuse plugin initialization complete');\n    }\n  });\n}\n\n/**\n * @deprecated Use `langfuse()` plugin instead\n * Legacy function for backward compatibility.\n */\nexport async function enableLangfuseTelemetry(config: LangfuseConfig) {\n  console.warn('enableLangfuseTelemetry is deprecated. Use langfuse() plugin instead.');\n  const telemetryProvider = new LangfuseTelemetryProvider(config);\n  const { enableTelemetry } = await import('genkit/tracing');\n  return enableTelemetry(telemetryProvider.getConfig());\n}\n\n/**\n * Creates a Langfuse telemetry provider without enabling it globally.\n * Useful for custom telemetry setups.\n * \n * @param config Langfuse configuration options\n * @returns LangfuseTelemetryProvider instance\n */\nexport function createLangfuseTelemetryProvider(config: LangfuseConfig): LangfuseTelemetryProvider {\n  return new LangfuseTelemetryProvider(config);\n}\n\n// Re-export types and utilities\nexport type { LangfuseConfig, SpanData } from './types.js';\nexport { LangfuseExporter } from './exporter.js';\nexport { SpanMetadataExtractor } from './metadata-extractor.js';\nexport { LangfuseTelemetryProvider } from './telemetry-provider.js';","import { Resource } from '@opentelemetry/resources';\nimport { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base';\nimport type { TelemetryConfig } from 'genkit';\nimport { LangfuseExporter } from './exporter.js';\nimport type { LangfuseConfig } from './types.js';\n\n/**\n * Telemetry provider that configures OpenTelemetry to export to Langfuse.\n */\nexport class LangfuseTelemetryProvider {\n  private config: LangfuseConfig;\n  private exporter?: LangfuseExporter;\n\n  constructor(config: LangfuseConfig) {\n    this.config = config;\n    this.validateConfig();\n  }\n\n  /**\n   * Get the telemetry configuration for Genkit.\n   */\n  getConfig(): TelemetryConfig {\n    const config = {\n      resource: this.createResource(),\n      spanProcessors: [this.createSpanProcessor()], // Back to plural like official plugin\n      instrumentations: [],\n    };\n    \n    if (this.config.debug) {\n      console.log('🔧 [DEBUG] Telemetry config created:', {\n        resourceAttributes: config.resource.attributes,\n        spanProcessorCount: config.spanProcessors.length,\n        instrumentationCount: config.instrumentations.length,\n      });\n    }\n    \n    return config;\n  }\n\n  /**\n   * Shutdown the telemetry provider.\n   */\n  async shutdown(): Promise<void> {\n    if (this.exporter) {\n      await this.exporter.shutdown();\n    }\n  }\n\n  /**\n   * Force flush all pending telemetry data.\n   */\n  async flush(): Promise<void> {\n    if (this.exporter) {\n      await this.exporter.forceFlush();\n    }\n  }\n\n  /**\n   * Create OpenTelemetry resource with Langfuse-specific attributes.\n   */\n  private createResource(): Resource {\n    return new Resource({\n      'service.name': 'genkit-langfuse',\n      'service.version': '1.0.0',\n      'genkit.plugin': '@genkit-ai/langfuse',\n      'langfuse.version': this.getLangfuseVersion(),\n    });\n  }\n\n  /**\n   * Create the span processor with Langfuse exporter.\n   */\n  private createSpanProcessor(): BatchSpanProcessor {\n    this.exporter = new LangfuseExporter(this.config);\n    \n    // Configure for development vs production following Genkit patterns\n    const isDevelopment = this.config.forceDevExport || process.env.NODE_ENV === 'development';\n    \n    const processor = new BatchSpanProcessor(this.exporter, {\n      maxExportBatchSize: isDevelopment ? (this.config.flushAt || 1) : (this.config.flushAt || 20),\n      scheduledDelayMillis: isDevelopment ? (this.config.flushInterval || 1000) : (this.config.flushInterval || 10000),\n      exportTimeoutMillis: this.config.exportTimeoutMillis || 30000,\n      maxQueueSize: this.config.maxQueueSize || 1000,\n    });\n    \n    if (this.config.debug) {\n      console.log('🔧 [DEBUG] BatchSpanProcessor created with config:', {\n        isDevelopment,\n        maxExportBatchSize: processor['_maxExportBatchSize'] || (isDevelopment ? 1 : 20),\n        scheduledDelayMillis: processor['_scheduledDelayMillis'] || (isDevelopment ? 1000 : 10000),\n        exportTimeoutMillis: this.config.exportTimeoutMillis || 30000,\n        maxQueueSize: this.config.maxQueueSize || 1000,\n      });\n      \n      // Wrap processor methods to debug span activity\n      const originalOnStart = processor.onStart;\n      const originalOnEnd = processor.onEnd;\n      \n      processor.onStart = function(span, parentContext) {\n        console.log(`🔥 [DEBUG] Span started: ${span.name} (${span.spanContext().spanId})`);\n        return originalOnStart.call(this, span, parentContext);\n      };\n      \n      processor.onEnd = function(span) {\n        console.log(`🏁 [DEBUG] Span ended: ${span.name} (${span.spanContext().spanId})`);\n        return originalOnEnd.call(this, span);\n      };\n    }\n    \n    return processor;\n  }\n\n  /**\n   * Validate the configuration.\n   */\n  private validateConfig(): void {\n    if (!this.config.secretKey) {\n      throw new Error('Langfuse secret key is required');\n    }\n    if (!this.config.publicKey) {\n      throw new Error('Langfuse public key is required');\n    }\n\n    // Set defaults following Genkit patterns\n    const isDevelopment = this.config.forceDevExport || process.env.NODE_ENV === 'development';\n    \n    this.config.baseUrl = this.config.baseUrl || 'https://cloud.langfuse.com';\n    this.config.debug = this.config.debug || false;\n    \n    // Use development-friendly defaults when appropriate\n    if (isDevelopment) {\n      this.config.flushAt = this.config.flushAt ?? 1; // Immediate export in dev\n      this.config.flushInterval = this.config.flushInterval ?? 1000; // 1 second in dev\n    } else {\n      this.config.flushAt = this.config.flushAt ?? 20; // Batch in production\n      this.config.flushInterval = this.config.flushInterval ?? 10000; // 10 seconds in production\n    }\n    \n    this.config.exportTimeoutMillis = this.config.exportTimeoutMillis ?? 30000;\n    this.config.maxQueueSize = this.config.maxQueueSize ?? 1000;\n  }\n\n  /**\n   * Get the Langfuse SDK version.\n   */\n  private getLangfuseVersion(): string {\n    try {\n      // eslint-disable-next-line @typescript-eslint/no-var-requires\n      const packageJson = require('langfuse/package.json');\n      return packageJson.version;\n    } catch (error) {\n      return 'unknown';\n    }\n  }\n}","import { hrTimeToMilliseconds } from '@opentelemetry/core';\nimport type {\n  ReadableSpan,\n  SpanExporter,\n} from '@opentelemetry/sdk-trace-base';\nimport { ExportResult, ExportResultCode } from '@opentelemetry/core';\nimport { Langfuse } from 'langfuse';\nimport type { LangfuseConfig } from './types.js';\nimport { SpanMetadataExtractor } from './metadata-extractor.js';\n\n/**\n * Langfuse OpenTelemetry span exporter that sends Genkit traces to Langfuse.\n */\nexport class LangfuseExporter implements SpanExporter {\n  private langfuse: Langfuse;\n  private config: LangfuseConfig;\n  private exportCount: number = 0;\n\n  constructor(config: LangfuseConfig) {\n    this.config = config;\n    \n    if (config.debug) {\n      console.log('🔧 [DEBUG] Initializing Langfuse exporter with config:', {\n        baseUrl: config.baseUrl,\n        publicKey: config.publicKey ? `${config.publicKey.substring(0, 8)}...` : 'undefined',\n        secretKey: config.secretKey ? `${config.secretKey.substring(0, 8)}...` : 'undefined',\n        flushAt: config.flushAt || 20,\n        flushInterval: config.flushInterval || 10000,\n      });\n    }\n    \n    this.langfuse = new Langfuse({\n      secretKey: config.secretKey,\n      publicKey: config.publicKey,\n      baseUrl: config.baseUrl,\n      flushAt: config.flushAt || 20,\n      flushInterval: config.flushInterval || 10000,\n    });\n\n    // Add comprehensive error handling and debug logging\n    this.langfuse.on('error', (error) => {\n      console.error('🚨 [ERROR] Langfuse SDK error:', error);\n      if (config.debug) {\n        console.error('🔍 [DEBUG] Error details:', {\n          message: error.message,\n          stack: error.stack,\n          name: error.name,\n        });\n      }\n    });\n    \n    // Add HTTP success debugging if available\n    if (config.debug && this.langfuse.on) {\n      // Try to listen for success events if the SDK supports them\n      try {\n        this.langfuse.on('trace', () => {\n          console.log('✅ [DEBUG] Langfuse trace event sent successfully');\n        });\n      } catch (e) {\n        // SDK might not support this event\n      }\n    }\n\n    // Add debug logging for successful operations\n    if (config.debug) {\n      this.langfuse.on('flush', () => {\n        console.log('✅ [DEBUG] Langfuse flush completed');\n      });\n    }\n\n    if (config.debug) {\n      console.log('✅ [DEBUG] Langfuse exporter initialized successfully');\n      this.testConnection();\n    }\n  }\n\n  /**\n   * Export spans to Langfuse.\n   */\n  export(\n    spans: ReadableSpan[],\n    resultCallback: (result: ExportResult) => void\n  ): void {\n    this.exportCount++;\n    if (this.config.debug) {\n      console.log(`📤 [DEBUG] Export #${this.exportCount}: Exporting ${spans.length} spans to Langfuse`);\n      spans.forEach((span, index) => {\n        console.log(`    Span ${index + 1}: ${span.name} (${span.spanContext().spanId})`);\n      });\n    }\n    \n    try {\n      let successCount = 0;\n      let errorCount = 0;\n      \n      for (const span of spans) {\n        try {\n          this.processSpan(span);\n          successCount++;\n        } catch (spanError) {\n          errorCount++;\n          console.error(`🚨 [ERROR] Failed to process span ${span.name}:`, spanError);\n          if (this.config.debug) {\n            console.error('🔍 [DEBUG] Span details:', {\n              spanId: span.spanContext().spanId,\n              traceId: span.spanContext().traceId,\n              name: span.name,\n              attributes: span.attributes,\n            });\n          }\n        }\n      }\n      \n      if (this.config.debug) {\n        console.log(`📊 [DEBUG] Export summary: ${successCount} successful, ${errorCount} failed`);\n      }\n      \n      // Trigger immediate flush for debug visibility with success logging\n      if (this.config.debug && successCount > 0) {\n        this.langfuse.flushAsync()\n          .then(() => {\n            console.log('✅ [DEBUG] Post-export flush completed successfully');\n          })\n          .catch(error => {\n            console.error('🚨 [ERROR] Failed to flush after export:', error);\n          });\n      }\n      \n      resultCallback({ code: ExportResultCode.SUCCESS });\n    } catch (error) {\n      console.error('🚨 [ERROR] Langfuse export error:', error);\n      if (this.config.debug) {\n        console.error('🔍 [DEBUG] Export error details:', {\n          message: error instanceof Error ? error.message : String(error),\n          stack: error instanceof Error ? error.stack : undefined,\n        });\n      }\n      resultCallback({ \n        code: ExportResultCode.FAILED, \n        error: error instanceof Error ? error : new Error(String(error))\n      });\n    }\n  }\n\n  /**\n   * Test connection to Langfuse (for debugging).\n   */\n  private async testConnection(): Promise<void> {\n    if (!this.config.debug) return;\n    \n    try {\n      console.log('🔍 [DEBUG] Testing Langfuse connection...');\n      console.log('🔍 [DEBUG] Langfuse API URL:', this.config.baseUrl);\n      \n      // Create a simple test trace to verify connectivity\n      const testTrace = {\n        id: 'test-connection-' + Date.now(),\n        name: 'Connection Test',\n        timestamp: new Date(),\n        metadata: { test: true },\n      };\n      \n      this.langfuse.trace(testTrace);\n      \n      // Attempt immediate flush\n      console.log('🔍 [DEBUG] Flushing connection test trace...');\n      await this.langfuse.flushAsync();\n      console.log('✅ [DEBUG] Langfuse connection test completed');\n    } catch (error) {\n      console.error('🚨 [ERROR] Langfuse connection test failed:', error);\n    }\n  }\n\n  /**\n   * Shutdown the exporter.\n   */\n  async shutdown(): Promise<void> {\n    if (this.config.debug) {\n      console.log('🔄 [DEBUG] Shutting down Langfuse exporter...');\n    }\n    \n    try {\n      await this.langfuse.shutdownAsync();\n      if (this.config.debug) {\n        console.log('✅ [DEBUG] Langfuse exporter shutdown completed');\n      }\n    } catch (error) {\n      console.error('🚨 [ERROR] Error during Langfuse exporter shutdown:', error);\n      throw error;\n    }\n  }\n\n  /**\n   * Force flush all pending spans.\n   */\n  async forceFlush(): Promise<void> {\n    if (this.config.debug) {\n      console.log('🔄 [DEBUG] Force flushing Langfuse data...');\n    }\n    \n    try {\n      await this.langfuse.flushAsync();\n      if (this.config.debug) {\n        console.log('✅ [DEBUG] Langfuse force flush completed');\n      }\n    } catch (error) {\n      console.error('🚨 [ERROR] Error during Langfuse force flush:', error);\n      throw error;\n    }\n  }\n\n  /**\n   * Process a single span and send to Langfuse.\n   */\n  private processSpan(span: ReadableSpan): void {\n    const metadata = SpanMetadataExtractor.extractMetadata(span);\n    const spanType = this.determineSpanType(span, metadata);\n\n    if (this.config.debug) {\n      console.log(`🔍 [DEBUG] Processing span: ${span.name}`);\n      console.log(`    Type: ${spanType}`);\n      console.log(`    Path: ${metadata.path || 'unknown'}`);\n      console.log(`    SpanID: ${span.spanContext().spanId}`);\n      console.log(`    TraceID: ${span.spanContext().traceId}`);\n      console.log(`    ParentID: ${span.parentSpanId || 'none'}`);\n      console.log(`    Duration: ${hrTimeToMilliseconds(span.endTime) - hrTimeToMilliseconds(span.startTime)}ms`);\n    }\n\n    try {\n      switch (spanType) {\n        case 'generation':\n          this.createGeneration(span, metadata);\n          break;\n        case 'trace':\n          this.createTrace(span, metadata);\n          break;\n        case 'span':\n          this.createSpan(span, metadata);\n          break;\n        default:\n          if (this.config.debug) {\n            console.log(`⚠️  [WARNING] Skipping span with unknown type: ${span.name} (type: ${spanType})`);\n          }\n          return;\n      }\n      \n      if (this.config.debug) {\n        console.log(`✅ [DEBUG] Successfully created Langfuse ${spanType}: ${span.name}`);\n      }\n    } catch (error) {\n      console.error(`🚨 [ERROR] Failed to create Langfuse ${spanType} for span ${span.name}:`, error);\n      throw error; // Re-throw to be caught by export method\n    }\n  }\n\n  /**\n   * Determine the Langfuse span type based on Genkit span data.\n   */\n  private determineSpanType(span: ReadableSpan, metadata: any): string {\n    const spanType = metadata.spanType;\n    const path = metadata.path;\n    const name = span.name;\n\n    // Model/LLM calls are generations\n    if (spanType === 'model' || \n        path?.includes('/model/') ||\n        name.includes('generate') ||\n        name.includes('model')) {\n      return 'generation';\n    }\n\n    // Root spans, flow spans, or spans with no parent are traces\n    if (metadata.isRoot || \n        spanType === 'flow' ||\n        path?.includes('/flow/') ||\n        !span.parentSpanId ||\n        span.parentSpanId === '0000000000000000') {\n      return 'trace';\n    }\n\n    // Tool calls and other intermediate operations\n    if (spanType === 'tool' || \n        path?.includes('/tool/') ||\n        name.includes('tool') ||\n        name.includes('Tool')) {\n      return 'span';\n    }\n\n    // Everything else is a span\n    return 'span';\n  }\n\n  /**\n   * Create a Langfuse generation (for LLM calls) using latest SDK v3 patterns.\n   */\n  private createGeneration(span: ReadableSpan, metadata: any): void {\n    const input = this.parseJSON(metadata.input);\n    const output = this.parseJSON(metadata.output);\n    const modelName = metadata.name || this.extractModelFromPath(metadata.path);\n    \n    const generationData: any = {\n      id: span.spanContext().spanId,\n      traceId: span.spanContext().traceId,\n      name: span.name,\n      model: modelName,\n      input: input, // SDK v3 uses input instead of prompt\n      output: output, // SDK v3 uses output instead of completion\n      startTime: new Date(hrTimeToMilliseconds(span.startTime)),\n      endTime: new Date(hrTimeToMilliseconds(span.endTime)),\n      metadata: {\n        genkit: true,\n        spanType: metadata.spanType,\n        path: metadata.path,\n        state: metadata.state,\n        provider: this.extractProviderFromPath(metadata.path),\n        genkitVersion: '1.x',\n        parentSpanId: span.parentSpanId,\n      },\n    };\n\n    // Add parent span ID if available\n    if (span.parentSpanId && span.parentSpanId !== '0000000000000000') {\n      generationData.parentObservationId = span.parentSpanId;\n    }\n\n    // Add token usage in the SDK v3 format\n    if (output && output.usage) {\n      generationData.usage = {\n        input: output.usage.inputTokens,\n        output: output.usage.outputTokens,\n        total: output.usage.totalTokens,\n      };\n\n      // Add cost calculation if custom function provided\n      if (this.config.calculateCost) {\n        try {\n          generationData.totalCost = this.config.calculateCost(\n            modelName,\n            {\n              inputTokens: output.usage.inputTokens || 0,\n              outputTokens: output.usage.outputTokens || 0,\n              totalTokens: output.usage.totalTokens || 0,\n            }\n          );\n        } catch (error) {\n          console.warn('⚠️  [WARNING] Failed to calculate cost:', error);\n        }\n      }\n    }\n\n    // Add session info if available\n    if (metadata.sessionId) {\n      generationData.sessionId = metadata.sessionId;\n    }\n\n    // Add user info if available\n    if (metadata.userId) {\n      generationData.userId = metadata.userId;\n    }\n\n    // Add version info if available\n    if (metadata.version) {\n      generationData.version = metadata.version;\n    }\n\n    if (this.config.debug) {\n      console.log('🤖 [DEBUG] Creating Langfuse generation with data:', {\n        id: generationData.id,\n        traceId: generationData.traceId,\n        name: generationData.name,\n        model: generationData.model,\n        inputSize: JSON.stringify(input || {}).length,\n        outputSize: JSON.stringify(output || {}).length,\n        usage: generationData.usage,\n        hasParent: !!generationData.parentObservationId,\n      });\n    }\n\n    try {\n      this.langfuse.generation(generationData);\n      if (this.config.debug) {\n        console.log(`✅ [DEBUG] Langfuse generation created: ${span.name} (${modelName})`);\n      }\n    } catch (error) {\n      console.error('🚨 [ERROR] Failed to create Langfuse generation:', error);\n      throw error;\n    }\n  }\n\n  /**\n   * Create a Langfuse trace (for root spans/flows).\n   */\n  private createTrace(span: ReadableSpan, metadata: any): void {\n    const input = this.parseJSON(metadata.input);\n    const output = this.parseJSON(metadata.output);\n\n    const trace = {\n      id: span.spanContext().traceId,\n      name: span.name,\n      input: input,\n      output: output,\n      timestamp: new Date(hrTimeToMilliseconds(span.startTime)),\n      metadata: {\n        spanType: metadata.spanType,\n        path: metadata.path,\n        state: metadata.state,\n        duration: hrTimeToMilliseconds(span.endTime) - hrTimeToMilliseconds(span.startTime),\n        genkit: true,\n      },\n    };\n\n    // Add session info if available\n    const sessionId = metadata.sessionId;\n    if (sessionId) {\n      (trace as any).sessionId = sessionId;\n    }\n\n    // Add user info if available\n    const userId = metadata.userId;\n    if (userId) {\n      (trace as any).userId = userId;\n    }\n\n    if (this.config.debug) {\n      console.log('🏁 [DEBUG] Creating Langfuse trace with data:', {\n        id: trace.id,\n        name: trace.name,\n        inputSize: JSON.stringify(input || {}).length,\n        outputSize: JSON.stringify(output || {}).length,\n        duration: trace.metadata.duration,\n        hasSession: !!sessionId,\n        hasUser: !!userId,\n      });\n    }\n\n    try {\n      this.langfuse.trace(trace);\n      if (this.config.debug) {\n        console.log(`✅ [DEBUG] Langfuse trace created: ${span.name}`);\n      }\n    } catch (error) {\n      console.error('🚨 [ERROR] Failed to create Langfuse trace:', error);\n      throw error;\n    }\n  }\n\n  /**\n   * Create a Langfuse span (for intermediate operations).\n   */\n  private createSpan(span: ReadableSpan, metadata: any): void {\n    const input = this.parseJSON(metadata.input);\n    const output = this.parseJSON(metadata.output);\n\n    const langfuseSpan: any = {\n      id: span.spanContext().spanId,\n      traceId: span.spanContext().traceId,\n      name: span.name,\n      input: input,\n      output: output,\n      startTime: new Date(hrTimeToMilliseconds(span.startTime)),\n      endTime: new Date(hrTimeToMilliseconds(span.endTime)),\n      metadata: {\n        genkit: true,\n        spanType: metadata.spanType,\n        path: metadata.path,\n        state: metadata.state,\n        parentSpanId: span.parentSpanId,\n      },\n    };\n\n    // Add parent span ID if available\n    if (span.parentSpanId && span.parentSpanId !== '0000000000000000') {\n      langfuseSpan.parentObservationId = span.parentSpanId;\n    }\n\n    if (this.config.debug) {\n      console.log('🔗 [DEBUG] Creating Langfuse span with data:', {\n        id: langfuseSpan.id,\n        traceId: langfuseSpan.traceId,\n        name: langfuseSpan.name,\n        inputSize: JSON.stringify(input || {}).length,\n        outputSize: JSON.stringify(output || {}).length,\n        hasParent: !!langfuseSpan.parentObservationId,\n      });\n    }\n\n    try {\n      this.langfuse.span(langfuseSpan);\n      if (this.config.debug) {\n        console.log(`✅ [DEBUG] Langfuse span created: ${span.name} (parent: ${span.parentSpanId || 'none'})`);\n      }\n    } catch (error) {\n      console.error('🚨 [ERROR] Failed to create Langfuse span:', error);\n      throw error;\n    }\n  }\n\n  /**\n   * Extract model name from Genkit path.\n   */\n  private extractModelFromPath(path?: string): string {\n    if (!path) return 'unknown';\n    const match = path.match(/\\/model\\/([^\\/]+)\\/([^\\/]+)/);\n    return match ? match[2] : 'unknown';\n  }\n\n  /**\n   * Extract provider name from Genkit path.\n   */\n  private extractProviderFromPath(path?: string): string {\n    if (!path) return 'unknown';\n    const match = path.match(/\\/model\\/([^\\/]+)\\//);\n    return match ? match[1] : 'unknown';\n  }\n\n  /**\n   * Safely parse JSON string.\n   */\n  private parseJSON(jsonString?: string): any {\n    if (!jsonString || typeof jsonString !== 'string') {\n      return jsonString;\n    }\n    try {\n      return JSON.parse(jsonString);\n    } catch (error) {\n      return jsonString;\n    }\n  }\n}","import type { ReadableSpan } from '@opentelemetry/sdk-trace-base';\n\n/**\n * Extracts structured metadata from Genkit OpenTelemetry spans.\n */\nexport class SpanMetadataExtractor {\n  /**\n   * Extract all relevant metadata from a span.\n   */\n  static extractMetadata(span: ReadableSpan): ExtractedMetadata {\n    const attributes = span.attributes;\n    \n    return {\n      // Core Genkit attributes\n      name: attributes['genkit:name'] as string,\n      path: attributes['genkit:path'] as string,\n      spanType: attributes['genkit:type'] as string,\n      input: attributes['genkit:input'] as string,\n      output: attributes['genkit:output'] as string,\n      state: attributes['genkit:state'] as string,\n      isRoot: attributes['genkit:isRoot'] === 'true' || attributes['genkit:isRoot'] === true,\n      \n      // Session tracking (available in chat flows)\n      sessionId: attributes['genkit:sessionId'] as string,\n      threadName: attributes['genkit:threadName'] as string,\n      \n      // User context (if available)\n      userId: attributes['genkit:userId'] as string,\n      \n      // Additional metadata\n      metadata: this.extractCustomMetadata(attributes),\n    };\n  }\n\n  /**\n   * Extract custom metadata from genkit:metadata:* attributes.\n   */\n  private static extractCustomMetadata(attributes: Record<string, any>): Record<string, any> {\n    const metadata: Record<string, any> = {};\n    \n    for (const [key, value] of Object.entries(attributes)) {\n      if (key.startsWith('genkit:metadata:')) {\n        const metadataKey = key.replace('genkit:metadata:', '');\n        metadata[metadataKey] = value;\n      }\n    }\n    \n    return metadata;\n  }\n\n  /**\n   * Check if a span represents an LLM/model call.\n   */\n  static isModelSpan(span: ReadableSpan): boolean {\n    const attributes = span.attributes;\n    const spanType = attributes['genkit:type'] as string;\n    const path = attributes['genkit:path'] as string;\n    \n    return spanType === 'model' || Boolean(path && path.includes('/model/'));\n  }\n\n  /**\n   * Check if a span is a root trace span.\n   */\n  static isRootSpan(span: ReadableSpan): boolean {\n    const attributes = span.attributes;\n    return attributes['genkit:isRoot'] === 'true';\n  }\n\n  /**\n   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