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| 1 | +import type { TelemetryIntegration } from "ai"; |
| 2 | +import { bindTelemetryIntegration } from "ai"; |
| 3 | +import { createLogger } from "@/lib/logger"; |
| 4 | + |
| 5 | +const logger = createLogger("ai:telemetry"); |
| 6 | + |
| 7 | +const LANGFUSE_PUBLIC_KEY = import.meta.env.WXT_LANGFUSE_PUBLIC_KEY as |
| 8 | + | string |
| 9 | + | undefined; |
| 10 | +const LANGFUSE_SECRET_KEY = import.meta.env.WXT_LANGFUSE_SECRET_KEY as |
| 11 | + | string |
| 12 | + | undefined; |
| 13 | +const LANGFUSE_BASEURL = |
| 14 | + (import.meta.env.WXT_LANGFUSE_BASEURL as string | undefined) || |
| 15 | + "https://us.cloud.langfuse.com"; |
| 16 | + |
| 17 | +const langfuseEnabled = !!(LANGFUSE_PUBLIC_KEY && LANGFUSE_SECRET_KEY); |
| 18 | + |
| 19 | +class DevTelemetryIntegration implements TelemetryIntegration { |
| 20 | + private startTime = 0; |
| 21 | + private startTimestamp = ""; |
| 22 | + private inputData: unknown = undefined; |
| 23 | + |
| 24 | + async onStart(event: { |
| 25 | + model: { provider: string; modelId: string }; |
| 26 | + system: unknown; |
| 27 | + prompt: unknown; |
| 28 | + messages: unknown; |
| 29 | + }) { |
| 30 | + this.startTime = performance.now(); |
| 31 | + this.startTimestamp = new Date().toISOString(); |
| 32 | + this.inputData = event.messages ?? event.prompt ?? event.system; |
| 33 | + logger.info( |
| 34 | + `AI call started | provider: ${event.model.provider} | model: ${event.model.modelId}`, |
| 35 | + ); |
| 36 | + } |
| 37 | + |
| 38 | + async onFinish(event: { |
| 39 | + model: { provider: string; modelId: string }; |
| 40 | + totalUsage: { |
| 41 | + inputTokens: number | undefined; |
| 42 | + outputTokens: number | undefined; |
| 43 | + }; |
| 44 | + finishReason: string; |
| 45 | + functionId: string | undefined; |
| 46 | + text: string; |
| 47 | + }) { |
| 48 | + const duration = performance.now() - this.startTime; |
| 49 | + const inputTokens = event.totalUsage.inputTokens ?? 0; |
| 50 | + const outputTokens = event.totalUsage.outputTokens ?? 0; |
| 51 | + |
| 52 | + logger.info( |
| 53 | + `AI call completed | fn: ${event.functionId ?? "unknown"} | model: ${event.model.modelId} | tokens: ${inputTokens}+${outputTokens}=${inputTokens + outputTokens} | duration: ${(duration / 1000).toFixed(2)}s | finish: ${event.finishReason}`, |
| 54 | + ); |
| 55 | + |
| 56 | + if (langfuseEnabled) { |
| 57 | + this.sendToLangfuse(event, duration).catch((err) => |
| 58 | + logger.debug("Langfuse send failed:", err), |
| 59 | + ); |
| 60 | + } |
| 61 | + } |
| 62 | + |
| 63 | + private async sendToLangfuse( |
| 64 | + event: { |
| 65 | + model: { provider: string; modelId: string }; |
| 66 | + totalUsage: { |
| 67 | + inputTokens: number | undefined; |
| 68 | + outputTokens: number | undefined; |
| 69 | + }; |
| 70 | + finishReason: string; |
| 71 | + functionId: string | undefined; |
| 72 | + text: string; |
| 73 | + }, |
| 74 | + durationMs: number, |
| 75 | + ) { |
| 76 | + const traceId = crypto.randomUUID(); |
| 77 | + const generationId = crypto.randomUUID(); |
| 78 | + const endTime = new Date().toISOString(); |
| 79 | + const startTime = this.startTimestamp || endTime; |
| 80 | + const input = this.inputData; |
| 81 | + const output = event.text; |
| 82 | + |
| 83 | + const batch = [ |
| 84 | + { |
| 85 | + id: crypto.randomUUID(), |
| 86 | + type: "trace-create" as const, |
| 87 | + timestamp: startTime, |
| 88 | + body: { |
| 89 | + id: traceId, |
| 90 | + name: event.functionId ?? "ai-call", |
| 91 | + input, |
| 92 | + output, |
| 93 | + metadata: { |
| 94 | + provider: event.model.provider, |
| 95 | + model: event.model.modelId, |
| 96 | + source: "superfill-extension-dev", |
| 97 | + }, |
| 98 | + }, |
| 99 | + }, |
| 100 | + { |
| 101 | + id: crypto.randomUUID(), |
| 102 | + type: "generation-create" as const, |
| 103 | + timestamp: startTime, |
| 104 | + body: { |
| 105 | + id: generationId, |
| 106 | + traceId, |
| 107 | + name: event.functionId ?? "ai-call", |
| 108 | + model: event.model.modelId, |
| 109 | + input, |
| 110 | + output, |
| 111 | + startTime, |
| 112 | + endTime, |
| 113 | + modelParameters: { |
| 114 | + provider: event.model.provider, |
| 115 | + }, |
| 116 | + usage: { |
| 117 | + input: event.totalUsage.inputTokens ?? 0, |
| 118 | + output: event.totalUsage.outputTokens ?? 0, |
| 119 | + unit: "TOKENS", |
| 120 | + }, |
| 121 | + metadata: { |
| 122 | + durationMs: Math.round(durationMs), |
| 123 | + finishReason: event.finishReason, |
| 124 | + }, |
| 125 | + }, |
| 126 | + }, |
| 127 | + ]; |
| 128 | + |
| 129 | + const credentials = btoa(`${LANGFUSE_PUBLIC_KEY}:${LANGFUSE_SECRET_KEY}`); |
| 130 | + |
| 131 | + await fetch(`${LANGFUSE_BASEURL}/api/public/ingestion`, { |
| 132 | + method: "POST", |
| 133 | + headers: { |
| 134 | + "Content-Type": "application/json", |
| 135 | + Authorization: `Basic ${credentials}`, |
| 136 | + }, |
| 137 | + body: JSON.stringify({ batch }), |
| 138 | + }); |
| 139 | + |
| 140 | + logger.debug(`Langfuse trace sent: ${traceId}`); |
| 141 | + } |
| 142 | +} |
| 143 | + |
| 144 | +function devTelemetryIntegration(): TelemetryIntegration { |
| 145 | + return bindTelemetryIntegration(new DevTelemetryIntegration()); |
| 146 | +} |
| 147 | + |
| 148 | +/** |
| 149 | + * Returns telemetry config to spread into generateText/streamText calls. |
| 150 | + * In production, returns an empty object (no-op when spread). |
| 151 | + * In dev, enables telemetry with console logging + optional Langfuse. |
| 152 | + */ |
| 153 | +export function getTelemetryConfig(functionId: string): { |
| 154 | + experimental_telemetry?: { |
| 155 | + isEnabled: boolean; |
| 156 | + functionId: string; |
| 157 | + integrations: TelemetryIntegration[]; |
| 158 | + }; |
| 159 | +} { |
| 160 | + if (!import.meta.env.DEV) { |
| 161 | + return {}; |
| 162 | + } |
| 163 | + |
| 164 | + return { |
| 165 | + experimental_telemetry: { |
| 166 | + isEnabled: true, |
| 167 | + functionId, |
| 168 | + integrations: [devTelemetryIntegration()], |
| 169 | + }, |
| 170 | + }; |
| 171 | +} |
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