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https://github.com/DayuanJiang/next-ai-draw-io.git
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refactor: remove Langfuse observability integration
- Delete lib/langfuse.ts, instrumentation.ts - Remove API routes: log-save, log-feedback - Remove feedback buttons (thumbs up/down) from chat - Remove sessionId tracking throughout codebase - Remove @langfuse/*, @opentelemetry dependencies - Clean up env.example
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@@ -1,65 +0,0 @@
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import { getLangfuseClient } from '@/lib/langfuse';
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import { randomUUID } from 'crypto';
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import { z } from 'zod';
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const saveSchema = z.object({
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filename: z.string().min(1).max(255),
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format: z.enum(['drawio', 'png', 'svg']),
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sessionId: z.string().min(1).max(200).optional(),
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});
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export async function POST(req: Request) {
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const langfuse = getLangfuseClient();
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if (!langfuse) {
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return Response.json({ success: true, logged: false });
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}
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// Validate input
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let data;
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try {
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data = saveSchema.parse(await req.json());
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} catch {
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return Response.json({ success: false, error: 'Invalid input' }, { status: 400 });
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}
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const { filename, format, sessionId } = data;
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try {
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const timestamp = new Date().toISOString();
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// Find the most recent chat trace for this session to attach the save flag
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const tracesResponse = await langfuse.api.trace.list({
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sessionId,
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limit: 1,
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});
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const traces = tracesResponse.data || [];
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const latestTrace = traces[0];
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if (latestTrace) {
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// Add a score to the existing trace to flag that user saved
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await langfuse.api.ingestion.batch({
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batch: [
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{
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type: 'score-create',
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id: randomUUID(),
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timestamp,
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body: {
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id: randomUUID(),
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traceId: latestTrace.id,
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name: 'diagram-saved',
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value: 1,
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comment: `User saved diagram as ${filename}.${format}`,
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},
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},
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],
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});
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}
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// If no trace found, skip logging (user hasn't chatted yet)
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return Response.json({ success: true, logged: !!latestTrace });
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} catch (error) {
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console.error('Langfuse save error:', error);
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return Response.json({ success: false, error: 'Failed to log save' }, { status: 500 });
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}
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}
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