mirror of
https://github.com/DayuanJiang/next-ai-draw-io.git
synced 2026-01-02 14:22:28 +08:00
- Update log-feedback API to find existing chat trace by sessionId and attach score to it - Update log-save API to create span on existing chat trace instead of standalone trace - Add thumbs up/down feedback buttons on assistant messages - Add message regeneration and edit functionality - Add save dialog with format selection (drawio, png, svg) - Pass sessionId through components for Langfuse linking
87 lines
2.6 KiB
TypeScript
87 lines
2.6 KiB
TypeScript
import { LangfuseClient } from '@langfuse/client';
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import { randomUUID } from 'crypto';
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export async function POST(req: Request) {
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// Check if Langfuse is configured
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if (!process.env.LANGFUSE_PUBLIC_KEY || !process.env.LANGFUSE_SECRET_KEY) {
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return Response.json({ success: true, logged: false });
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}
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const { xml, filename, format, sessionId } = await req.json();
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// Get user IP for tracking
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const forwardedFor = req.headers.get('x-forwarded-for');
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const userId = forwardedFor?.split(',')[0]?.trim() || 'anonymous';
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try {
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// Create Langfuse client
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const langfuse = new LangfuseClient({
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publicKey: process.env.LANGFUSE_PUBLIC_KEY,
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secretKey: process.env.LANGFUSE_SECRET_KEY,
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baseUrl: process.env.LANGFUSE_BASEURL,
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});
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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 event to
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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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// Create a span on the existing chat trace for the save event
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await langfuse.api.ingestion.batch({
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batch: [
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{
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type: 'span-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-save',
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input: { filename, format },
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output: { xmlPreview: xml?.substring(0, 500), contentLength: xml?.length || 0 },
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metadata: { source: 'save-button' },
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startTime: timestamp,
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endTime: timestamp,
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},
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},
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],
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});
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} else {
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// No trace found - create a standalone trace
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const traceId = randomUUID();
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await langfuse.api.ingestion.batch({
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batch: [
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{
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type: 'trace-create',
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id: randomUUID(),
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timestamp,
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body: {
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id: traceId,
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name: 'diagram-save',
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sessionId,
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userId,
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input: { filename, format },
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output: { xmlPreview: xml?.substring(0, 500), contentLength: xml?.length || 0 },
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metadata: { source: 'save-button', note: 'standalone - no chat trace found' },
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timestamp,
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},
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},
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],
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});
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}
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return Response.json({ success: true, logged: true });
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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: String(error) }, { status: 500 });
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}
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}
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