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* Minified by jsDelivr using Terser v5.39.0.\n * Original file: /npm/@thinkhive/sdk@4.2.6/dist/index.js\n *\n * Do NOT use SRI with dynamically generated files! More information: https://www.jsdelivr.com/using-sri-with-dynamic-files\n */\n","/**\n * ThinkHive SDK v4.1.0\n *\n * Run-centric AI agent observability platform with:\n * - Facts vs Inferences (claims API)\n * - Deterministic ticket linking (7 methods)\n * - Customer context snapshots (time-series)\n * - Calibrated predictions (Brier scores)\n * - Configurable ROI calculation engine\n *\n * @version 4.1.0\n * @license MIT\n */\n\nimport { trace, context, SpanStatusCode } from '@opentelemetry/api';\nimport { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-proto';\nimport { resourceFromAttributes, defaultResource } from '@opentelemetry/resources';\nimport { NodeTracerProvider } from '@opentelemetry/sdk-trace-node';\nimport { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base';\n\n// Core\nimport {\n initConfig,\n getConfig,\n isInitialized,\n resetConfig,\n debugLog,\n SDK_VERSION,\n DEFAULT_ENDPOINT,\n} from './core/config';\nimport {\n apiRequestWithData,\n ThinkHiveError,\n ThinkHiveApiError,\n ThinkHiveValidationError,\n PermissionDeniedError,\n AgentScopeError,\n RateLimitError,\n IpWhitelistError,\n} from './core/client';\n\n// API clients\nimport { runs, createRunWithContext, toOpenAIMessages, fromOpenAIMessages } from './api/runs';\nimport {\n claims,\n isFact,\n isInference,\n isComputed,\n getHighConfidenceClaims,\n groupClaimsByType,\n groupClaimsByCategory,\n} from './api/claims';\nimport {\n calibration,\n calculateBrierScore,\n calculateECE,\n isWellCalibrated,\n getCalibrationQuality,\n} from './api/calibration';\n\n// New Evaluation APIs\nimport { humanReview } from './api/human-review';\nimport {\n nondeterminism,\n calculatePassAtK,\n calculatePassToK,\n requiredPassRateForPassAtK,\n isReliableEvaluation,\n getReliabilityRecommendation,\n} from './api/nondeterminism';\nimport {\n evalHealth,\n hasHealthIssue,\n getSeverityLevel as getHealthSeverityLevel,\n isSaturated,\n getSaturationRecommendation,\n} from './api/eval-health';\nimport {\n deterministicGraders,\n createRegexRule,\n createContainsRule,\n createLengthRule,\n createJsonSchemaRule,\n allRulesPassed,\n getFailedRules,\n calculateAverageScore,\n} from './api/deterministic-graders';\nimport {\n conversationEval,\n aggregateWorst,\n aggregateAverage,\n aggregateWeighted,\n aggregateFinalTurn,\n aggregateMajority,\n getAggregator,\n getProblematicTurns,\n analyzeConversationTrend,\n} from './api/conversation-eval';\nimport {\n transcriptPatterns,\n isHighRisk,\n getMatchesByCategory,\n getCriticalInsights,\n hasPiiExposure,\n hasFrustrationSignals,\n hasEscalationRequest,\n getCategoryDistribution,\n getRecommendations,\n needsAttention,\n sortMatchesBySeverity,\n} from './api/transcript-patterns';\n\n// Agents Management\nimport {\n agents,\n} from './api/agents';\n\n// Eval Runs\nimport { evalRuns } from './api/eval-runs';\n\n// Signals\nimport { signals } from './api/signals';\n\n// Notifications\nimport { notifications } from './api/notifications';\n\n// Documents\nimport { documents } from './api/documents';\n\n// Shadow Tests\nimport { shadowTests } from './api/shadow-tests';\n\n// Sessions\nimport { sessions } from './api/sessions';\n\n// Drift\nimport { drift, hasDrift, getDriftSeverity } from './api/drift';\n\n// LLM Costs\nimport { llmCosts, formatCost as formatLLMCost } from './api/llm-costs';\n\n// Guardrails\nimport { guardrails } from './guardrails';\n\n// API Key Management (Phase 2 Security)\nimport {\n apiKeys,\n hasPermission,\n isExpired as isApiKeyExpired,\n isValid as isApiKeyValid,\n getTimeUntilExpiry,\n canAccessAgent,\n} from './api/apiKeys';\n\n// ROI Analytics API\nimport {\n roiAnalytics,\n calculateRevenueAtRisk,\n calculateAutomationSavings,\n formatCurrency,\n getROIQuality,\n} from './api/roi-analytics';\n\n// Business Metrics API\nimport {\n businessMetrics,\n isMetricReady,\n needsMoreTraces,\n awaitingExternalData,\n isMetricStale,\n getStatusMessage,\n getTraceProgress,\n formatMetricValue,\n getTrendEmoji,\n} from './api/business-metrics';\n\n// Quality Metrics API\nimport {\n qualityMetrics,\n passesQualityThreshold,\n isHallucinationRiskAcceptable,\n getQualityRecommendations,\n formatQualityScore,\n getGradeColor,\n} from './api/quality-metrics';\n\n// Integrations\nimport {\n linking,\n generateZendeskMarker,\n parseZendeskMarker,\n hasZendeskMarker,\n removeZendeskMarker,\n linkRunToTicket,\n linkRunToZendeskTicket,\n getBestLinkMethod,\n LINK_METHOD_CONFIDENCE,\n} from './integrations/ticket-linking';\nimport {\n customerContext,\n captureCustomerContext,\n getContextAsOf,\n toContextSnapshot,\n calculateArrChange,\n calculateHealthTrend,\n} from './integrations/customer-context';\n\n// Re-export types\nexport type {\n InitOptions,\n Framework,\n RunOptions,\n RunOutcome,\n ConversationMessage,\n CustomerContextSnapshot,\n TicketLinkingOptions,\n LinkMethod,\n TraceOptions,\n TraceCustomFlag,\n SpanData,\n BusinessContext,\n Claim,\n ClaimType,\n ClaimCategory,\n ConfidenceCalibration,\n EvidenceReference,\n AnalysisResult,\n CalibrationStatus,\n CalibrationBucket,\n PredictionType,\n RoiConfig,\n RoiSummary,\n ExplainabilityResult,\n ApiResponse,\n PaginatedResponse,\n RunResponse,\n} from './core/types';\n\n// Re-export evaluation types\nexport type {\n HumanReviewStatus,\n HumanReviewType,\n HumanReviewQueueItem,\n CalibrationSet,\n ReviewerCalibration,\n QueueStats,\n} from './api/human-review';\n\nexport type {\n NondeterminismRunType,\n NondeterminismRunStatus,\n NondeterminismRun,\n NondeterminismSample,\n TraceAnalysis,\n CriterionAnalysis,\n RunSummary,\n} from './api/nondeterminism';\n\nexport type {\n SaturationType,\n HealthStatus,\n RegressionSeverity,\n EvalHealthSnapshot,\n EvalRegression,\n HealthReport,\n} from './api/eval-health';\n\nexport type {\n RuleType,\n DeterministicEvalResult,\n RuleResult,\n RuleTypeInfo,\n RuleTemplate,\n} from './api/deterministic-graders';\n\nexport type {\n AggregateMethod,\n SessionTrace,\n TurnEvaluation,\n ConversationEvalResult,\n AggregationMethodInfo,\n} from './api/conversation-eval';\n\nexport type {\n PatternCategory,\n PatternOutcome,\n PatternSeverity,\n PatternMatch,\n PatternInsight,\n AnalysisResult as PatternAnalysisResult,\n PatternCategoryInfo,\n BuiltInPattern,\n} from './api/transcript-patterns';\n\n// Re-export API Key types (Phase 2 Security)\nexport type {\n ApiKeyPermissions,\n ScopeType,\n Environment,\n CreateApiKeyOptions,\n ApiKey,\n CreateApiKeyResult,\n} from './api/apiKeys';\n\n// Re-export ROI Analytics types\nexport type {\n IndustryConfig,\n CustomIndustryConfig,\n ROIMetrics,\n BusinessImpact,\n ROISummary,\n TrendDataPoint,\n Correlation,\n PatternCluster,\n CorrelationAnalysis,\n} from './api/roi-analytics';\n\n// Re-export Quality Metrics types\nexport type {\n RetrievedContext,\n GroundTruthContext,\n GroundedSpan,\n UngroundedSpan,\n CitationMap,\n RAGEvaluation,\n RAGEvidence,\n HallucinationInstance,\n HallucinationReport,\n GroundednessResult,\n BatchEvaluationResult,\n BatchEvaluationSummary,\n} from './api/quality-metrics';\n\n// Re-export Business Metrics types\nexport type {\n MetricTrend,\n MetricStatus,\n CurrentMetricResponse,\n MetricHistoryPoint,\n MetricHistorySummary,\n MetricHistoryResponse,\n RecordMetricOptions,\n RecordMetricResponse,\n} from './api/business-metrics';\n\n// Re-export Agent types\nexport type {\n Agent,\n CreateAgentOptions,\n UpdateAgentOptions,\n AgentConfig,\n UpdateAgentConfigOptions,\n DeleteAgentOptions,\n CascadeImpact,\n} from './api/agents';\n\n// Re-export Eval Runs types\nexport type {\n CreateEvalRunOptions,\n GetEvalRunResultsOptions,\n ListEvalRunsOptions,\n EstimateCostOptions,\n GetTraceResultsOptions,\n EvalRun,\n EvalResult,\n EvalCostEstimate,\n} from './api/eval-runs';\n\n// Re-export Signals types\nexport type {\n DetectionConfig,\n CreateSignalOptions,\n UpdateSignalOptions,\n ListSignalsOptions,\n SignalStatsOptions,\n SignalTrendsOptions,\n SignalTracesOptions,\n SignalEventsOptions,\n Signal,\n SignalStats,\n SignalTrendPoint,\n SignalEvent,\n} from './api/signals';\n\n// Re-export Notifications types\nexport type {\n NotificationRule,\n CreateNotificationRuleData,\n UpdateNotificationRuleData,\n Notification,\n} from './api/notifications';\n\n// Re-export Documents types\nexport type {\n Document,\n DocumentUploadResponse,\n} from './api/documents';\n\n// Re-export Shadow Tests types\nexport type {\n CreateShadowTestData,\n UpdateShadowTestData,\n ShadowTest,\n} from './api/shadow-tests';\n\n// Re-export Sessions types\nexport type {\n ListSessionsOptions,\n Session,\n SessionTrace as SessionTraceRecord,\n} from './api/sessions';\n\n// Re-export Drift types\nexport type {\n DetectDriftOptions,\n DriftReport,\n DriftDimension,\n DetectAllResult,\n} from './api/drift';\n\n// Re-export LLM Costs types\nexport type {\n CostQueryOptions,\n CostSummary,\n CostBreakdownItem,\n AgentCostBreakdown,\n CostSavings,\n OptimizationEntry,\n OptimizationStats,\n OptimizationRecommendation,\n} from './api/llm-costs';\n\n// ============================================================================\n// GLOBAL STATE\n// ============================================================================\n\nlet tracer: ReturnType | null = null;\nlet provider: NodeTracerProvider | null = null;\n\n// ============================================================================\n// INITIALIZATION\n// ============================================================================\n\n/**\n * Initialize ThinkHive SDK v3\n *\n * @example\n * ```typescript\n * import { init } from '@thinkhive/sdk';\n *\n * init({\n * apiKey: 'th_your_api_key',\n * serviceName: 'my-ai-agent',\n * autoInstrument: true,\n * frameworks: ['langchain', 'openai'],\n * });\n * ```\n */\nexport function init(options: import('./core/types').InitOptions = {}): void {\n if (isInitialized()) {\n debugLog('ThinkHive SDK already initialized');\n return;\n }\n\n const config = initConfig(options);\n\n // Configure OTLP exporter\n const exporterHeaders: Record = {};\n if (config.apiKey) {\n exporterHeaders['Authorization'] = `Bearer ${config.apiKey}`;\n } else {\n throw new Error(\n 'OTLP tracing requires an API key. Agent ID alone is not sufficient for OTLP ingestion. ' +\n 'Provide apiKey in init() or set the THINKHIVE_API_KEY environment variable.'\n );\n }\n\n const otlpUrl = config.endpoint.replace(/\\/+$/, '') + '/v1/traces';\n const exporter = new OTLPTraceExporter({\n url: otlpUrl,\n headers: exporterHeaders,\n });\n\n // Create OpenTelemetry resource\n const resource = defaultResource().merge(\n resourceFromAttributes({\n 'service.name': config.serviceName,\n 'thinkhive.sdk.version': SDK_VERSION,\n 'thinkhive.sdk.language': 'typescript',\n })\n );\n\n // Create provider with span processor\n provider = new NodeTracerProvider({\n resource,\n spanProcessors: [new BatchSpanProcessor(exporter)],\n });\n\n // Register provider\n provider.register();\n\n // Get tracer\n tracer = trace.getTracer('thinkhive', SDK_VERSION);\n\n if (config.debug) {\n console.log(`✅ ThinkHive SDK v${SDK_VERSION} initialized`);\n console.log(` Endpoint: ${config.endpoint}`);\n console.log(` Service: ${config.serviceName}`);\n console.log(` Auto-instrument: ${config.autoInstrument}`);\n }\n\n // Setup auto-instrumentation if enabled\n if (config.autoInstrument) {\n setupAutoInstrumentation(config.frameworks);\n }\n}\n\n/**\n * Get the global tracer\n */\nexport function getTracer() {\n if (!tracer) {\n throw new Error('ThinkHive SDK not initialized. Call init() first.');\n }\n return tracer;\n}\n\n/**\n * Shutdown the SDK and flush pending spans\n */\nexport async function shutdown(): Promise {\n if (provider) {\n await provider.shutdown();\n provider = null;\n }\n tracer = null;\n resetConfig();\n debugLog('ThinkHive SDK shutdown complete');\n}\n\n// ============================================================================\n// TRACING FUNCTIONS\n// ============================================================================\n\n/**\n * Trace an LLM call\n */\nexport function traceLLM(\n options: {\n name: string;\n modelName?: string;\n provider?: string;\n input?: unknown;\n },\n fn: () => Promise\n): Promise {\n const t = getTracer();\n\n return t.startActiveSpan(\n options.name,\n {\n attributes: {\n 'openinference.span.kind': 'LLM',\n 'llm.model_name': options.modelName,\n 'llm.provider': options.provider,\n 'input.value': options.input ? JSON.stringify(options.input).substring(0, 10000) : undefined,\n },\n },\n async (span) => {\n const startTime = Date.now();\n try {\n const result = await fn();\n span.setAttribute('output.value', JSON.stringify(result).substring(0, 10000));\n span.setStatus({ code: SpanStatusCode.OK });\n return result;\n } catch (error: unknown) {\n const message = error instanceof Error ? error.message : String(error);\n span.setStatus({ code: SpanStatusCode.ERROR, message });\n span.recordException(error as Error);\n throw error;\n } finally {\n span.setAttribute('duration_ms', Date.now() - startTime);\n span.end();\n }\n }\n );\n}\n\n/**\n * Trace a retrieval operation\n */\nexport function traceRetrieval(\n options: {\n name: string;\n query?: string;\n topK?: number;\n },\n fn: () => Promise\n): Promise {\n const t = getTracer();\n\n return t.startActiveSpan(\n options.name,\n {\n attributes: {\n 'openinference.span.kind': 'RETRIEVER',\n 'retrieval.query': options.query,\n 'retrieval.top_k': options.topK,\n },\n },\n async (span) => {\n const startTime = Date.now();\n try {\n const result = await fn();\n if (Array.isArray(result)) {\n span.setAttribute('retrieval.document_count', result.length);\n }\n span.setStatus({ code: SpanStatusCode.OK });\n return result;\n } catch (error: unknown) {\n const message = error instanceof Error ? error.message : String(error);\n span.setStatus({ code: SpanStatusCode.ERROR, message });\n span.recordException(error as Error);\n throw error;\n } finally {\n span.setAttribute('duration_ms', Date.now() - startTime);\n span.end();\n }\n }\n );\n}\n\n/**\n * Trace a tool call\n */\nexport function traceTool(\n options: {\n name: string;\n toolName?: string;\n parameters?: Record;\n },\n fn: () => Promise\n): Promise {\n const t = getTracer();\n\n return t.startActiveSpan(\n options.toolName || options.name,\n {\n attributes: {\n 'openinference.span.kind': 'TOOL',\n 'tool.name': options.toolName || options.name,\n 'tool.parameters': options.parameters ? JSON.stringify(options.parameters) : undefined,\n },\n },\n async (span) => {\n const startTime = Date.now();\n try {\n const result = await fn();\n span.setAttribute('tool.output', JSON.stringify(result).substring(0, 10000));\n span.setStatus({ code: SpanStatusCode.OK });\n return result;\n } catch (error: unknown) {\n const message = error instanceof Error ? error.message : String(error);\n span.setStatus({ code: SpanStatusCode.ERROR, message });\n span.recordException(error as Error);\n throw error;\n } finally {\n span.setAttribute('duration_ms', Date.now() - startTime);\n span.end();\n }\n }\n );\n}\n\n/**\n * Trace a chain/workflow\n */\nexport function traceChain(\n options: {\n name: string;\n input?: unknown;\n },\n fn: () => Promise\n): Promise {\n const t = getTracer();\n\n return t.startActiveSpan(\n options.name,\n {\n attributes: {\n 'openinference.span.kind': 'CHAIN',\n 'input.value': options.input ? JSON.stringify(options.input).substring(0, 10000) : undefined,\n },\n },\n async (span) => {\n const startTime = Date.now();\n try {\n const result = await fn();\n span.setAttribute('output.value', JSON.stringify(result).substring(0, 10000));\n span.setStatus({ code: SpanStatusCode.OK });\n return result;\n } catch (error: unknown) {\n const message = error instanceof Error ? error.message : String(error);\n span.setStatus({ code: SpanStatusCode.ERROR, message });\n span.recordException(error as Error);\n throw error;\n } finally {\n span.setAttribute('duration_ms', Date.now() - startTime);\n span.end();\n }\n }\n );\n}\n\n// ============================================================================\n// V2 TERMINOLOGY - ISSUES API (replaces Cases)\n// Per ITIL best practices, \"Issues\" is more customer-friendly than \"Cases\"\n// ============================================================================\n\n/**\n * Issues API client\n * This is the recommended API for managing clustered failure patterns\n *\n * @since 3.1.0\n */\nexport const issues = {\n /**\n * List issues for an agent\n */\n async list(agentId: string, options?: {\n status?: string;\n startDate?: Date;\n endDate?: Date;\n limit?: number;\n offset?: number;\n }): Promise {\n const params = new URLSearchParams({ agentId });\n if (options?.status) params.set('status', options.status);\n if (options?.startDate) params.set('startDate', options.startDate.toISOString());\n if (options?.endDate) params.set('endDate', options.endDate.toISOString());\n if (options?.limit) params.set('limit', options.limit.toString());\n if (options?.offset) params.set('offset', options.offset.toString());\n\n const response = await apiRequestWithData(`/issues?${params}`, { apiVersion: 'v2' });\n return (response as any).data || response;\n },\n\n /**\n * Get a single issue by ID\n */\n async get(id: string): Promise {\n const response = await apiRequestWithData(`/issues/${id}`, { apiVersion: 'v2' });\n return (response as any).data || response;\n },\n\n /**\n * Create a new issue\n */\n async create(data: {\n agentId: string;\n title: string;\n description?: string;\n type: string;\n severity?: string;\n pattern?: string;\n exampleTraceIds?: string[];\n }): Promise {\n const response = await apiRequestWithData('/issues', {\n method: 'POST',\n body: data,\n apiVersion: 'v2',\n });\n return (response as any).data || response;\n },\n\n /**\n * Update an issue\n */\n async update(id: string, data: {\n title?: string;\n description?: string;\n status?: string;\n severity?: string;\n assignedTo?: string;\n resolutionNotes?: string;\n }): Promise {\n const response = await apiRequestWithData(`/issues/${id}`, {\n method: 'PATCH',\n body: data,\n apiVersion: 'v2',\n });\n return (response as any).data || response;\n },\n\n /**\n * Get fixes for an issue\n */\n async getFixes(issueId: string): Promise {\n const response = await apiRequestWithData(`/issues/${issueId}/fixes`, { apiVersion: 'v2' });\n return (response as any).data || response;\n },\n};\n\n\n// ============================================================================\n// V2 TERMINOLOGY - ANALYZER API (replaces Explainer user-facing)\n// Per industry distinction: Analyzer = pattern detection/observation\n// ============================================================================\n\n/**\n * Analyzer API client\n * User-selected trace analysis with cost estimation and smart sampling\n *\n * Key improvements over v1 Explainer:\n * - User-selected trace analysis (not automatic)\n * - Cost estimation before execution\n * - Smart sampling strategies\n * - Root cause analysis by layer\n * - Pattern aggregation across traces\n *\n * @since 3.1.0\n */\nexport const analyzer = {\n /**\n * Analyze specific traces (user-selected)\n */\n async analyze(options: {\n traceIds: string[];\n tier?: 'fast' | 'standard' | 'deep';\n includeRootCause?: boolean;\n includeLayers?: boolean;\n }): Promise {\n const { traceIds, tier, includeRootCause, includeLayers } = options;\n const response = await apiRequestWithData('/analyzer/analyze', {\n method: 'POST',\n body: {\n traceIds,\n options: {\n tier,\n includeRootCause,\n includeLayers,\n },\n },\n apiVersion: 'v2',\n });\n return (response as any).data || response;\n },\n\n /**\n * Analyze traces by time window\n */\n async analyzeWindow(options: {\n agentId: string;\n startDate: Date;\n endDate: Date;\n filters?: {\n outcomes?: ('failure' | 'error' | 'success')[];\n minSeverity?: 'low' | 'medium' | 'high' | 'critical';\n };\n sampling?: {\n strategy: 'all' | 'failures_only' | 'smart' | 'random';\n samplePercent?: number;\n };\n }): Promise {\n const response = await apiRequestWithData('/analyzer/analyze-window', {\n method: 'POST',\n body: {\n ...options,\n startDate: options.startDate.toISOString(),\n endDate: options.endDate.toISOString(),\n },\n apiVersion: 'v2',\n });\n return (response as any).data || response;\n },\n\n /**\n * Estimate cost before running analysis\n */\n async estimateCost(options: {\n traceIds?: string[];\n agentId?: string;\n startDate?: Date;\n endDate?: Date;\n tier: 'fast' | 'standard' | 'deep';\n }): Promise<{\n estimatedTraces: number;\n estimatedTokens: number;\n estimatedCost: number;\n estimatedCredits: number;\n tier: string;\n note: string;\n }> {\n const response = await apiRequestWithData('/analyzer/estimate-cost', {\n method: 'POST',\n body: {\n ...options,\n startDate: options.startDate?.toISOString(),\n endDate: options.endDate?.toISOString(),\n },\n apiVersion: 'v2',\n });\n return (response as any).data || response;\n },\n\n /**\n * Get analysis results for a specific trace\n */\n async get(traceId: string): Promise {\n const response = await apiRequestWithData(`/analyzer/${traceId}`, { apiVersion: 'v2' });\n return (response as any).data || response;\n },\n\n /**\n * Aggregate insights across multiple analyzed traces\n */\n async summarize(options: {\n analysisIds?: string[];\n agentId?: string;\n startDate?: Date;\n endDate?: Date;\n }): Promise {\n const response = await apiRequestWithData('/analyzer/summarize', {\n method: 'POST',\n body: {\n ...options,\n startDate: options.startDate?.toISOString(),\n endDate: options.endDate?.toISOString(),\n },\n apiVersion: 'v2',\n });\n return (response as any).data || response;\n },\n};\n\n\n// ============================================================================\n// AUTO-INSTRUMENTATION\n// ============================================================================\n\nfunction setupAutoInstrumentation(\n frameworks: import('./core/types').Framework[]\n): void {\n debugLog(`Setting up auto-instrumentation for: ${frameworks.join(', ')}`);\n\n for (const framework of frameworks) {\n try {\n switch (framework) {\n case 'openai':\n case 'openai-assistants':\n debugLog('OpenAI instrumentation ready (use instrumentOpenAIClient)');\n break;\n case 'langchain':\n case 'langgraph':\n debugLog('LangChain/LangGraph instrumentation ready (use ThinkHiveCallbackHandler)');\n break;\n case 'anthropic':\n debugLog('Anthropic instrumentation ready');\n break;\n case 'llamaindex':\n debugLog('LlamaIndex instrumentation ready');\n break;\n case 'n8n':\n debugLog('n8n instrumentation ready');\n break;\n case 'voiceflow':\n debugLog('Voiceflow instrumentation ready');\n break;\n }\n } catch (error) {\n debugLog(`Failed to setup ${framework} instrumentation:`, error);\n }\n }\n}\n\n// ============================================================================\n// RE-EXPORTS (non-duplicated)\n// ============================================================================\n\n// Re-export from config (not yet exported)\nexport { isInitialized, SDK_VERSION, DEFAULT_ENDPOINT };\n\n// Re-export API clients (v3)\nexport {\n runs,\n claims,\n calibration,\n linking,\n customerContext,\n // New evaluation APIs\n humanReview,\n nondeterminism,\n evalHealth,\n deterministicGraders,\n conversationEval,\n transcriptPatterns,\n // API Key Management (Phase 2 Security)\n apiKeys,\n // Agents Management\n agents,\n // ROI Analytics, Quality Metrics, and Business Metrics\n roiAnalytics,\n qualityMetrics,\n businessMetrics,\n // Eval Runs, Signals, Notifications, Documents, Shadow Tests, Sessions, Drift, LLM Costs\n evalRuns,\n signals,\n notifications,\n documents,\n shadowTests,\n sessions,\n drift,\n llmCosts,\n // Guardrails\n guardrails,\n};\n\n// Note: issues, analyzer, and guardrails are already exported via 'export const' above\n\n// Re-export helper functions\nexport {\n // Runs helpers\n createRunWithContext,\n toOpenAIMessages,\n fromOpenAIMessages,\n // Claims helpers\n isFact,\n isInference,\n isComputed,\n getHighConfidenceClaims,\n groupClaimsByType,\n groupClaimsByCategory,\n // Calibration helpers\n calculateBrierScore,\n calculateECE,\n isWellCalibrated,\n getCalibrationQuality,\n // Linking helpers\n generateZendeskMarker,\n parseZendeskMarker,\n hasZendeskMarker,\n removeZendeskMarker,\n linkRunToTicket,\n linkRunToZendeskTicket,\n getBestLinkMethod,\n LINK_METHOD_CONFIDENCE,\n // Customer context helpers\n captureCustomerContext,\n getContextAsOf,\n toContextSnapshot,\n calculateArrChange,\n calculateHealthTrend,\n // Non-determinism helpers\n calculatePassAtK,\n calculatePassToK,\n requiredPassRateForPassAtK,\n isReliableEvaluation,\n getReliabilityRecommendation,\n // Eval health helpers\n hasHealthIssue,\n getHealthSeverityLevel,\n isSaturated,\n getSaturationRecommendation,\n // Deterministic graders helpers\n createRegexRule,\n createContainsRule,\n createLengthRule,\n createJsonSchemaRule,\n allRulesPassed,\n getFailedRules,\n calculateAverageScore,\n // Conversation eval helpers\n aggregateWorst,\n aggregateAverage,\n aggregateWeighted,\n aggregateFinalTurn,\n aggregateMajority,\n getAggregator,\n getProblematicTurns,\n analyzeConversationTrend,\n // Transcript patterns helpers\n isHighRisk,\n getMatchesByCategory,\n getCriticalInsights,\n hasPiiExposure,\n hasFrustrationSignals,\n hasEscalationRequest,\n getCategoryDistribution,\n getRecommendations,\n needsAttention,\n sortMatchesBySeverity,\n // API Key helpers\n hasPermission,\n isApiKeyExpired,\n isApiKeyValid,\n getTimeUntilExpiry,\n canAccessAgent,\n // ROI Analytics helpers\n calculateRevenueAtRisk,\n calculateAutomationSavings,\n formatCurrency,\n getROIQuality,\n // Quality Metrics helpers\n passesQualityThreshold,\n isHallucinationRiskAcceptable,\n getQualityRecommendations,\n formatQualityScore,\n getGradeColor,\n // Business Metrics helpers\n isMetricReady,\n needsMoreTraces,\n awaitingExternalData,\n isMetricStale,\n getStatusMessage,\n getTraceProgress,\n formatMetricValue,\n getTrendEmoji,\n // Drift helpers\n hasDrift,\n getDriftSeverity,\n // LLM Costs helpers\n formatLLMCost,\n};\n\n// Re-export Guardrails\nexport { type ScanRequest, type ScanResponse, type Finding, type ScannerResult } from './guardrails';\n\n// Re-export errors (including new security errors)\nexport {\n ThinkHiveError,\n ThinkHiveApiError,\n ThinkHiveValidationError,\n PermissionDeniedError,\n AgentScopeError,\n RateLimitError,\n IpWhitelistError,\n};\n\n// Default export for convenience\nexport default {\n init,\n getTracer,\n shutdown,\n isInitialized,\n // Tracing\n traceLLM,\n traceRetrieval,\n traceTool,\n traceChain,\n // API clients\n runs,\n claims,\n calibration,\n linking,\n customerContext,\n // Evaluation APIs\n humanReview,\n nondeterminism,\n evalHealth,\n deterministicGraders,\n conversationEval,\n transcriptPatterns,\n // API Key Management (Phase 2 Security)\n apiKeys,\n // Agents Management\n agents,\n // Issues and Analyzer APIs\n issues,\n analyzer,\n // ROI Analytics, Quality Metrics, and Business Metrics\n roiAnalytics,\n qualityMetrics,\n businessMetrics,\n // Eval Runs, Signals, Notifications, Documents, Shadow Tests, Sessions, Drift, LLM Costs\n evalRuns,\n signals,\n notifications,\n documents,\n shadowTests,\n sessions,\n drift,\n llmCosts,\n // Guardrails\n guardrails,\n // Helpers\n generateZendeskMarker,\n parseZendeskMarker,\n linkRunToTicket,\n createRunWithContext,\n // Utilities\n isFact,\n isInference,\n calculateBrierScore,\n isWellCalibrated,\n calculatePassAtK,\n isReliableEvaluation,\n isHighRisk,\n needsAttention,\n // ROI helpers\n calculateRevenueAtRisk,\n formatCurrency,\n // Quality helpers\n passesQualityThreshold,\n isHallucinationRiskAcceptable,\n // Business Metrics helpers\n isMetricReady,\n needsMoreTraces,\n getStatusMessage,\n // Drift helpers\n hasDrift,\n getDriftSeverity,\n // LLM Costs helpers\n formatLLMCost,\n};\n"]}