feat: restore Langfuse observability integration (#103)

- Add lib/langfuse.ts with client, trace input/output, telemetry config
- Add instrumentation.ts for OpenTelemetry setup with Langfuse span processor
- Add /api/log-save endpoint for logging diagram saves
- Add /api/log-feedback endpoint for thumbs up/down feedback
- Update chat route with sessionId tracking and telemetry
- Add feedback buttons (thumbs up/down) to chat messages
- Add sessionId tracking throughout the app
- Update env.example with Langfuse configuration
- Add @langfuse/client, @langfuse/otel, @langfuse/tracing, @opentelemetry/sdk-trace-node

app/api/chat/route.ts

@@ -1,6 +1,7 @@
 import { streamText, convertToModelMessages, createUIMessageStream, createUIMessageStreamResponse } from 'ai';
 import { getAIModel } from '@/lib/ai-providers';
 import { findCachedResponse } from '@/lib/cached-responses';
+import { setTraceInput, setTraceOutput, getTelemetryConfig, wrapWithObserve } from '@/lib/langfuse';
 import { getSystemPrompt } from '@/lib/system-prompts';
 import { z } from "zod";
 
@@ -61,7 +62,27 @@ function createCachedStreamResponse(xml: string): Response {
 
 // Inner handler function
 async function handleChatRequest(req: Request): Promise<Response> {
-  const { messages, xml } = await req.json();
+  const { messages, xml, sessionId } = await req.json();
+
+  // Get user IP for Langfuse tracking
+  const forwardedFor = req.headers.get('x-forwarded-for');
+  const userId = forwardedFor?.split(',')[0]?.trim() || 'anonymous';
+
+  // Validate sessionId for Langfuse (must be string, max 200 chars)
+  const validSessionId = sessionId && typeof sessionId === 'string' && sessionId.length <= 200
+    ? sessionId
+    : undefined;
+
+  // Extract user input text for Langfuse trace
+  const currentMessage = messages[messages.length - 1];
+  const userInputText = currentMessage?.parts?.find((p: any) => p.type === 'text')?.text || '';
+
+  // Update Langfuse trace with input, session, and user
+  setTraceInput({
+    input: userInputText,
+    sessionId: validSessionId,
+    userId: userId,
+  });
 
   // === FILE VALIDATION START ===
   const fileValidation = validateFileParts(messages);
@@ -191,9 +212,19 @@ ${lastMessageText}
     messages: allMessages,
     ...(providerOptions && { providerOptions }),
     ...(headers && { headers }),
-    onFinish: ({ usage, providerMetadata }) => {
+    // Langfuse telemetry config (returns undefined if not configured)
-      console.log('[Cache] providerMetadata:', JSON.stringify(providerMetadata, null, 2));
+    ...(getTelemetryConfig({ sessionId: validSessionId, userId }) && {
+      experimental_telemetry: getTelemetryConfig({ sessionId: validSessionId, userId }),
+    }),
+    onFinish: ({ text, usage, providerMetadata }) => {
+      console.log('[Cache] Full providerMetadata:', JSON.stringify(providerMetadata, null, 2));
       console.log('[Cache] Usage:', JSON.stringify(usage, null, 2));
+      // Pass usage to Langfuse (Bedrock streaming doesn't auto-report tokens to telemetry)
+      // AI SDK uses inputTokens/outputTokens, Langfuse expects promptTokens/completionTokens
+      setTraceOutput(text, {
+        promptTokens: usage?.inputTokens,
+        completionTokens: usage?.outputTokens,
+      });
     },
     tools: {
       // Client-side tool that will be executed on the client
@@ -260,7 +291,8 @@ IMPORTANT: Keep edits concise:
   return result.toUIMessageStreamResponse();
 }
 
-export async function POST(req: Request) {
+// Wrap handler with error handling
+async function safeHandler(req: Request): Promise<Response> {
   try {
     return await handleChatRequest(req);
   } catch (error) {
@@ -268,3 +300,10 @@ export async function POST(req: Request) {
     return Response.json({ error: 'Internal server error' }, { status: 500 });
   }
 }
+
+// Wrap with Langfuse observe (if configured)
+const observedHandler = wrapWithObserve(safeHandler);
+
+export async function POST(req: Request) {
+  return observedHandler(req);
+}

app/api/log-feedback/route.ts

@@ -0,0 +1,103 @@
+import { getLangfuseClient } from '@/lib/langfuse';
+import { randomUUID } from 'crypto';
+import { z } from 'zod';
+
+const feedbackSchema = z.object({
+  messageId: z.string().min(1).max(200),
+  feedback: z.enum(['good', 'bad']),
+  sessionId: z.string().min(1).max(200).optional(),
+});
+
+export async function POST(req: Request) {
+  const langfuse = getLangfuseClient();
+  if (!langfuse) {
+    return Response.json({ success: true, logged: false });
+  }
+
+  // Validate input
+  let data;
+  try {
+    data = feedbackSchema.parse(await req.json());
+  } catch {
+    return Response.json({ success: false, error: 'Invalid input' }, { status: 400 });
+  }
+
+  const { messageId, feedback, sessionId } = data;
+
+  // Get user IP for tracking
+  const forwardedFor = req.headers.get('x-forwarded-for');
+  const userId = forwardedFor?.split(',')[0]?.trim() || 'anonymous';
+
+  try {
+    // Find the most recent chat trace for this session to attach the score to
+    const tracesResponse = await langfuse.api.trace.list({
+      sessionId,
+      limit: 1,
+    });
+
+    const traces = tracesResponse.data || [];
+    const latestTrace = traces[0];
+
+    if (!latestTrace) {
+      // No trace found for this session - create a standalone feedback trace
+      const traceId = randomUUID();
+      const timestamp = new Date().toISOString();
+
+      await langfuse.api.ingestion.batch({
+        batch: [
+          {
+            type: 'trace-create',
+            id: randomUUID(),
+            timestamp,
+            body: {
+              id: traceId,
+              name: 'user-feedback',
+              sessionId,
+              userId,
+              input: { messageId, feedback },
+              metadata: { source: 'feedback-button', note: 'standalone - no chat trace found' },
+              timestamp,
+            },
+          },
+          {
+            type: 'score-create',
+            id: randomUUID(),
+            timestamp,
+            body: {
+              id: randomUUID(),
+              traceId,
+              name: 'user-feedback',
+              value: feedback === 'good' ? 1 : 0,
+              comment: `User gave ${feedback} feedback`,
+            },
+          },
+        ],
+      });
+    } else {
+      // Attach score to the existing chat trace
+      const timestamp = new Date().toISOString();
+
+      await langfuse.api.ingestion.batch({
+        batch: [
+          {
+            type: 'score-create',
+            id: randomUUID(),
+            timestamp,
+            body: {
+              id: randomUUID(),
+              traceId: latestTrace.id,
+              name: 'user-feedback',
+              value: feedback === 'good' ? 1 : 0,
+              comment: `User gave ${feedback} feedback`,
+            },
+          },
+        ],
+      });
+    }
+
+    return Response.json({ success: true, logged: true });
+  } catch (error) {
+    console.error('Langfuse feedback error:', error);
+    return Response.json({ success: false, error: 'Failed to log feedback' }, { status: 500 });
+  }
+}

app/api/log-save/route.ts

@@ -0,0 +1,65 @@
+import { getLangfuseClient } from '@/lib/langfuse';
+import { randomUUID } from 'crypto';
+import { z } from 'zod';
+
+const saveSchema = z.object({
+  filename: z.string().min(1).max(255),
+  format: z.enum(['drawio', 'png', 'svg']),
+  sessionId: z.string().min(1).max(200).optional(),
+});
+
+export async function POST(req: Request) {
+  const langfuse = getLangfuseClient();
+  if (!langfuse) {
+    return Response.json({ success: true, logged: false });
+  }
+
+  // Validate input
+  let data;
+  try {
+    data = saveSchema.parse(await req.json());
+  } catch {
+    return Response.json({ success: false, error: 'Invalid input' }, { status: 400 });
+  }
+
+  const { filename, format, sessionId } = data;
+
+  try {
+    const timestamp = new Date().toISOString();
+
+    // Find the most recent chat trace for this session to attach the save flag
+    const tracesResponse = await langfuse.api.trace.list({
+      sessionId,
+      limit: 1,
+    });
+
+    const traces = tracesResponse.data || [];
+    const latestTrace = traces[0];
+
+    if (latestTrace) {
+      // Add a score to the existing trace to flag that user saved
+      await langfuse.api.ingestion.batch({
+        batch: [
+          {
+            type: 'score-create',
+            id: randomUUID(),
+            timestamp,
+            body: {
+              id: randomUUID(),
+              traceId: latestTrace.id,
+              name: 'diagram-saved',
+              value: 1,
+              comment: `User saved diagram as ${filename}.${format}`,
+            },
+          },
+        ],
+      });
+    }
+    // If no trace found, skip logging (user hasn't chatted yet)
+
+    return Response.json({ success: true, logged: !!latestTrace });
+  } catch (error) {
+    console.error('Langfuse save error:', error);
+    return Response.json({ success: false, error: 'Failed to log save' }, { status: 500 });
+  }
+}

components/chat-input.tsx

@@ -95,6 +95,7 @@ interface ChatInputProps {
     onFileChange?: (files: File[]) => void;
     showHistory?: boolean;
     onToggleHistory?: (show: boolean) => void;
+    sessionId?: string;
     error?: Error | null;
 }
 
@@ -108,6 +109,7 @@ export function ChatInput({
     onFileChange = () => {},
     showHistory = false,
     onToggleHistory = () => {},
+    sessionId,
     error = null,
 }: ChatInputProps) {
     const { diagramHistory, saveDiagramToFile } = useDiagram();
@@ -325,7 +327,7 @@ export function ChatInput({
                             open={showSaveDialog}
                             onOpenChange={setShowSaveDialog}
                             onSave={(filename, format) =>
-                                saveDiagramToFile(filename, format)
+                                saveDiagramToFile(filename, format, sessionId)
                             }
                             defaultFilename={`diagram-${new Date()
                                 .toISOString()

components/chat-message-display.tsx

@@ -6,7 +6,7 @@ import { ScrollArea } from "@/components/ui/scroll-area";
 import ExamplePanel from "./chat-example-panel";
 import { UIMessage } from "ai";
 import { convertToLegalXml, replaceNodes, validateMxCellStructure } from "@/lib/utils";
-import { Copy, Check, X, ChevronDown, ChevronUp, Cpu, Minus, Plus, RotateCcw, Pencil } from "lucide-react";
+import { Copy, Check, X, ChevronDown, ChevronUp, Cpu, Minus, Plus, ThumbsUp, ThumbsDown, RotateCcw, Pencil } from "lucide-react";
 import { CodeBlock } from "./code-block";
 
 interface EditPair {
@@ -67,6 +67,7 @@ interface ChatMessageDisplayProps {
     error?: Error | null;
     setInput: (input: string) => void;
     setFiles: (files: File[]) => void;
+    sessionId?: string;
     onRegenerate?: (messageIndex: number) => void;
     onEditMessage?: (messageIndex: number, newText: string) => void;
 }
@@ -76,6 +77,7 @@ export function ChatMessageDisplay({
     error,
     setInput,
     setFiles,
+    sessionId,
     onRegenerate,
     onEditMessage,
 }: ChatMessageDisplayProps) {
@@ -88,6 +90,7 @@ export function ChatMessageDisplay({
     );
     const [copiedMessageId, setCopiedMessageId] = useState<string | null>(null);
     const [copyFailedMessageId, setCopyFailedMessageId] = useState<string | null>(null);
+    const [feedback, setFeedback] = useState<Record<string, "good" | "bad">>({});
     const [editingMessageId, setEditingMessageId] = useState<string | null>(null);
     const [editText, setEditText] = useState<string>("");
 
@@ -103,6 +106,34 @@ export function ChatMessageDisplay({
         }
     };
 
+    const submitFeedback = async (messageId: string, value: "good" | "bad") => {
+        // Toggle off if already selected
+        if (feedback[messageId] === value) {
+            setFeedback((prev) => {
+                const next = { ...prev };
+                delete next[messageId];
+                return next;
+            });
+            return;
+        }
+
+        setFeedback((prev) => ({ ...prev, [messageId]: value }));
+
+        try {
+            await fetch("/api/log-feedback", {
+                method: "POST",
+                headers: { "Content-Type": "application/json" },
+                body: JSON.stringify({
+                    messageId,
+                    feedback: value,
+                    sessionId,
+                }),
+            });
+        } catch (error) {
+            console.warn("Failed to log feedback:", error);
+        }
+    };
+
     const handleDisplayChart = useCallback(
         (xml: string) => {
             const currentXml = xml || "";
@@ -436,6 +467,32 @@ export function ChatMessageDisplay({
                                                     <RotateCcw className="h-3.5 w-3.5" />
                                                 </button>
                                             )}
+                                            {/* Divider */}
+                                            <div className="w-px h-4 bg-border mx-1" />
+                                            {/* Thumbs up */}
+                                            <button
+                                                onClick={() => submitFeedback(message.id, "good")}
+                                                className={`p-1.5 rounded-lg transition-colors ${
+                                                    feedback[message.id] === "good"
+                                                        ? "text-green-600 bg-green-100"
+                                                        : "text-muted-foreground/60 hover:text-green-600 hover:bg-green-50"
+                                                }`}
+                                                title="Good response"
+                                            >
+                                                <ThumbsUp className="h-3.5 w-3.5" />
+                                            </button>
+                                            {/* Thumbs down */}
+                                            <button
+                                                onClick={() => submitFeedback(message.id, "bad")}
+                                                className={`p-1.5 rounded-lg transition-colors ${
+                                                    feedback[message.id] === "bad"
+                                                        ? "text-red-600 bg-red-100"
+                                                        : "text-muted-foreground/60 hover:text-red-600 hover:bg-red-50"
+                                                }`}
+                                                title="Bad response"
+                                            >
+                                                <ThumbsDown className="h-3.5 w-3.5" />
+                                            </button>
                                         </div>
                                     )}
                                 </div>

components/chat-panel.tsx

@@ -63,6 +63,9 @@ export default function ChatPanel({
     const [showHistory, setShowHistory] = useState(false);
     const [input, setInput] = useState("");
 
+    // Generate a unique session ID for Langfuse tracing
+    const [sessionId, setSessionId] = useState(() => `session-${Date.now()}-${Math.random().toString(36).slice(2, 9)}`);
+
     // Store XML snapshots for each user message (keyed by message index)
     const xmlSnapshotsRef = useRef<Map<number, string>>(new Map());
 
@@ -217,6 +220,7 @@ Please retry with an adjusted search pattern or use display_diagram if retries a
                     {
                         body: {
                             xml: chartXml,
+                            sessionId,
                         },
                     }
                 );
@@ -297,6 +301,7 @@ Please retry with an adjusted search pattern or use display_diagram if retries a
             {
                 body: {
                     xml: savedXml,
+                    sessionId,
                 },
             }
         );
@@ -353,6 +358,7 @@ Please retry with an adjusted search pattern or use display_diagram if retries a
             {
                 body: {
                     xml: savedXml,
+                    sessionId,
                 },
             }
         );
@@ -440,6 +446,7 @@ Please retry with an adjusted search pattern or use display_diagram if retries a
                     error={error}
                     setInput={setInput}
                     setFiles={handleFileChange}
+                    sessionId={sessionId}
                     onRegenerate={handleRegenerate}
                     onEditMessage={handleEditMessage}
                 />
@@ -455,12 +462,14 @@ Please retry with an adjusted search pattern or use display_diagram if retries a
                     onClearChat={() => {
                         setMessages([]);
                         clearDiagram();
+                        setSessionId(`session-${Date.now()}-${Math.random().toString(36).slice(2, 9)}`);
                         xmlSnapshotsRef.current.clear();
                     }}
                     files={files}
                     onFileChange={handleFileChange}
                     showHistory={showHistory}
                     onToggleHistory={setShowHistory}
+                    sessionId={sessionId}
                     error={error}
                 />
             </footer>

contexts/diagram-context.tsx

@@ -16,7 +16,7 @@ interface DiagramContextType {
     drawioRef: React.Ref<DrawIoEmbedRef | null>;
     handleDiagramExport: (data: any) => void;
     clearDiagram: () => void;
-    saveDiagramToFile: (filename: string, format: ExportFormat) => void;
+    saveDiagramToFile: (filename: string, format: ExportFormat, sessionId?: string) => void;
 }
 
 const DiagramContext = createContext<DiagramContextType | undefined>(undefined);
@@ -107,7 +107,7 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
         setDiagramHistory([]);
     };
 
-    const saveDiagramToFile = (filename: string, format: ExportFormat) => {
+    const saveDiagramToFile = (filename: string, format: ExportFormat, sessionId?: string) => {
         if (!drawioRef.current) {
             console.warn("Draw.io editor not ready");
             return;
@@ -145,6 +145,9 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
                     extension = ".svg";
                 }
 
+                // Log save event to Langfuse (flags the trace)
+                logSaveToLangfuse(filename, format, sessionId);
+
                 // Handle download
                 let url: string;
                 if (typeof fileContent === "string" && fileContent.startsWith("data:")) {
@@ -174,6 +177,19 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
         drawioRef.current.exportDiagram({ format: drawioFormat });
     };
 
+    // Log save event to Langfuse (just flags the trace, doesn't send content)
+    const logSaveToLangfuse = async (filename: string, format: string, sessionId?: string) => {
+        try {
+            await fetch("/api/log-save", {
+                method: "POST",
+                headers: { "Content-Type": "application/json" },
+                body: JSON.stringify({ filename, format, sessionId }),
+            });
+        } catch (error) {
+            console.warn("Failed to log save to Langfuse:", error);
+        }
+    };
+
     return (
         <DiagramContext.Provider
             value={{

env.example

@@ -41,3 +41,9 @@ AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
 # DeepSeek Configuration
 # DEEPSEEK_API_KEY=sk-...
 # DEEPSEEK_BASE_URL=https://api.deepseek.com/v1  # Optional: Custom endpoint
+
+# Langfuse Observability (Optional)
+# Enable LLM tracing and analytics - https://langfuse.com
+# LANGFUSE_PUBLIC_KEY=pk-lf-...
+# LANGFUSE_SECRET_KEY=sk-lf-...
+# LANGFUSE_BASEURL=https://cloud.langfuse.com  # EU region, use https://us.cloud.langfuse.com for US

instrumentation.ts

@@ -0,0 +1,35 @@
+import { LangfuseSpanProcessor } from '@langfuse/otel';
+import { NodeTracerProvider } from '@opentelemetry/sdk-trace-node';
+
+export function register() {
+  // Skip telemetry if Langfuse env vars are not configured
+  if (!process.env.LANGFUSE_PUBLIC_KEY || !process.env.LANGFUSE_SECRET_KEY) {
+    console.warn('[Langfuse] Environment variables not configured - telemetry disabled');
+    return;
+  }
+
+  const langfuseSpanProcessor = new LangfuseSpanProcessor({
+    publicKey: process.env.LANGFUSE_PUBLIC_KEY,
+    secretKey: process.env.LANGFUSE_SECRET_KEY,
+    baseUrl: process.env.LANGFUSE_BASEURL,
+    // Filter out Next.js HTTP request spans so AI SDK spans become root traces
+    shouldExportSpan: ({ otelSpan }) => {
+      const spanName = otelSpan.name;
+      // Skip Next.js HTTP infrastructure spans
+      if (spanName.startsWith('POST /') ||
+          spanName.startsWith('GET /') ||
+          spanName.includes('BaseServer') ||
+          spanName.includes('handleRequest')) {
+        return false;
+      }
+      return true;
+    },
+  });
+
+  const tracerProvider = new NodeTracerProvider({
+    spanProcessors: [langfuseSpanProcessor],
+  });
+
+  // Register globally so AI SDK's telemetry also uses this processor
+  tracerProvider.register();
+}

lib/langfuse.ts

@@ -0,0 +1,95 @@
+import { observe, updateActiveTrace } from '@langfuse/tracing';
+import { LangfuseClient } from '@langfuse/client';
+import * as api from '@opentelemetry/api';
+
+// Singleton LangfuseClient instance for direct API calls
+let langfuseClient: LangfuseClient | null = null;
+
+export function getLangfuseClient(): LangfuseClient | null {
+  if (!process.env.LANGFUSE_PUBLIC_KEY || !process.env.LANGFUSE_SECRET_KEY) {
+    return null;
+  }
+
+  if (!langfuseClient) {
+    langfuseClient = new LangfuseClient({
+      publicKey: process.env.LANGFUSE_PUBLIC_KEY,
+      secretKey: process.env.LANGFUSE_SECRET_KEY,
+      baseUrl: process.env.LANGFUSE_BASEURL,
+    });
+  }
+
+  return langfuseClient;
+}
+
+// Check if Langfuse is configured
+export function isLangfuseEnabled(): boolean {
+  return !!process.env.LANGFUSE_PUBLIC_KEY;
+}
+
+// Update trace with input data at the start of request
+export function setTraceInput(params: {
+  input: string;
+  sessionId?: string;
+  userId?: string;
+}) {
+  if (!isLangfuseEnabled()) return;
+
+  updateActiveTrace({
+    name: 'chat',
+    input: params.input,
+    sessionId: params.sessionId,
+    userId: params.userId,
+  });
+}
+
+// Update trace with output and end the span
+export function setTraceOutput(output: string, usage?: { promptTokens?: number; completionTokens?: number }) {
+  if (!isLangfuseEnabled()) return;
+
+  updateActiveTrace({ output });
+
+  const activeSpan = api.trace.getActiveSpan();
+  if (activeSpan) {
+    // Manually set usage attributes since AI SDK Bedrock streaming doesn't provide them
+    if (usage?.promptTokens) {
+      activeSpan.setAttribute('ai.usage.promptTokens', usage.promptTokens);
+      activeSpan.setAttribute('gen_ai.usage.input_tokens', usage.promptTokens);
+    }
+    if (usage?.completionTokens) {
+      activeSpan.setAttribute('ai.usage.completionTokens', usage.completionTokens);
+      activeSpan.setAttribute('gen_ai.usage.output_tokens', usage.completionTokens);
+    }
+    activeSpan.end();
+  }
+}
+
+// Get telemetry config for streamText
+export function getTelemetryConfig(params: {
+  sessionId?: string;
+  userId?: string;
+}) {
+  if (!isLangfuseEnabled()) return undefined;
+
+  return {
+    isEnabled: true,
+    // Disable automatic input recording to avoid uploading large base64 images to Langfuse media
+    // User text input is recorded manually via setTraceInput
+    recordInputs: false,
+    recordOutputs: true,
+    metadata: {
+      sessionId: params.sessionId,
+      userId: params.userId,
+    },
+  };
+}
+
+// Wrap a handler with Langfuse observe
+export function wrapWithObserve<T>(
+  handler: (req: Request) => Promise<T>
+): (req: Request) => Promise<T> {
+  if (!isLangfuseEnabled()) {
+    return handler;
+  }
+
+  return observe(handler, { name: 'chat', endOnExit: false });
+}

package-lock.json

@@ -17,8 +17,12 @@
                 "@ai-sdk/openai": "^2.0.19",
                 "@ai-sdk/react": "^2.0.22",
                 "@aws-sdk/credential-providers": "^3.943.0",
+                "@langfuse/client": "^4.4.9",
+                "@langfuse/otel": "^4.4.4",
+                "@langfuse/tracing": "^4.4.9",
                 "@next/third-parties": "^16.0.6",
                 "@openrouter/ai-sdk-provider": "^1.2.3",
+                "@opentelemetry/sdk-trace-node": "^2.2.0",
                 "@radix-ui/react-dialog": "^1.1.6",
                 "@radix-ui/react-scroll-area": "^1.2.3",
                 "@radix-ui/react-select": "^2.2.6",
@@ -2338,6 +2342,62 @@
                 "@jridgewell/sourcemap-codec": "^1.4.14"
             }
         },
+        "node_modules/@langfuse/client": {
+            "version": "4.4.9",
+            "resolved": "https://registry.npmjs.org/@langfuse/client/-/client-4.4.9.tgz",
+            "integrity": "sha512-Y7bU70tMx/lYOU/A7NGvXXVZoL3AiFigbf7EwS5PVFc0xd34eRUmvwdLwEtuK7CnYTyxIZTzVVP2KEaicWCYZg==",
+            "license": "MIT",
+            "dependencies": {
+                "@langfuse/core": "^4.4.9",
+                "@langfuse/tracing": "^4.4.9",
+                "mustache": "^4.2.0"
+            },
+            "peerDependencies": {
+                "@opentelemetry/api": "^1.9.0"
+            }
+        },
+        "node_modules/@langfuse/core": {
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