mirror of
https://github.com/DayuanJiang/next-ai-draw-io.git
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* feat: add trace-level input/output to Langfuse observability - Add @langfuse/client and @langfuse/tracing dependencies - Wrap POST handler with observe() for proper tracing - Use updateActiveTrace() to set trace input, output, sessionId, userId - Filter Next.js HTTP spans in shouldExportSpan so AI SDK spans become root traces - Enable recordInputs/recordOutputs in experimental_telemetry * refactor: extract Langfuse logic to separate lib/langfuse.ts module
64 lines
1.4 KiB
TypeScript
64 lines
1.4 KiB
TypeScript
import { observe, updateActiveTrace } from '@langfuse/tracing';
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import * as api from '@opentelemetry/api';
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// Check if Langfuse is configured
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export function isLangfuseEnabled(): boolean {
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return !!process.env.LANGFUSE_PUBLIC_KEY;
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}
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// Update trace with input data at the start of request
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export function setTraceInput(params: {
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input: string;
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sessionId?: string;
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userId?: string;
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}) {
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if (!isLangfuseEnabled()) return;
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updateActiveTrace({
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name: 'chat',
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input: params.input,
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sessionId: params.sessionId,
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userId: params.userId,
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});
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}
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// Update trace with output and end the span
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export function setTraceOutput(output: string) {
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if (!isLangfuseEnabled()) return;
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updateActiveTrace({ output });
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const activeSpan = api.trace.getActiveSpan();
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if (activeSpan) {
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activeSpan.end();
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}
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}
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// Get telemetry config for streamText
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export function getTelemetryConfig(params: {
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sessionId?: string;
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userId?: string;
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}) {
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if (!isLangfuseEnabled()) return undefined;
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return {
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isEnabled: true,
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recordInputs: true,
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recordOutputs: true,
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metadata: {
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sessionId: params.sessionId,
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userId: params.userId,
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},
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};
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}
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// Wrap a handler with Langfuse observe
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export function wrapWithObserve<T>(
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handler: (req: Request) => Promise<T>
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): (req: Request) => Promise<T> {
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if (!isLangfuseEnabled()) {
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return handler;
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}
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return observe(handler, { name: 'chat', endOnExit: false });
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}
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