files cant't be seen by LLM, but everything else works.

This commit is contained in:
emil
2026-04-26 22:52:49 +03:00
parent 55d4b7dbba
commit 2307c63bf1
16 changed files with 861 additions and 134 deletions
+4
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@@ -0,0 +1,4 @@
node_modules
.env
*.log
data
+20
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@@ -0,0 +1,20 @@
FROM node:20-alpine
WORKDIR /app
# Install dependencies
COPY package*.json ./
RUN npm ci --only=production
# Copy source
COPY src/ ./src/
# Create data directories
RUN mkdir -p /app/data/uploads /app/data/chromadb
EXPOSE 3002
ENV NODE_ENV=production
ENV PORT=3002
CMD ["node", "src/index.js"]
+110 -2
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@@ -6,7 +6,7 @@ const fs = require('fs');
const path = require('path');
const app = express();
const PORT = process.env.PORT || 3001;
const PORT = process.env.PORT || 3002;
// Middleware
app.use(cors());
@@ -31,6 +31,42 @@ const knowledgeBases = new Map();
const knowledgeFiles = new Map();
const uploadedFiles = new Map();
// Token usage tracking
const tokenUsageStats = new Map(); // conversationId -> aggregated token stats
// In-memory storage for token usage events
const tokenUsageLog = [];
// Extract token usage from SSE response
function extractTokenUsage(fullResponse) {
try {
// Parse the last SSE data block which contains usage info
const lines = fullResponse.split('\n');
for (let i = lines.length - 1; i >= 0; i--) {
const line = lines[i];
if (line.startsWith('data: ')) {
const data = line.slice(6).trim();
if (data === '[DONE]') continue;
try {
const parsed = JSON.parse(data);
if (parsed.usage) {
return {
promptTokens: parsed.usage.prompt_tokens || 0,
completionTokens: parsed.usage.completion_tokens || 0,
totalTokens: parsed.usage.total_tokens || 0,
};
}
} catch {
// Not valid JSON, skip
}
}
}
return null;
} catch {
return null;
}
}
// Global ChromaDB client (recreated per request when path changes)
function getChromaClient(persistDir = './data/chromadb') {
return new ChromaClient({
@@ -78,13 +114,31 @@ app.post('/api/v1/chat/completions', async (req, res) => {
const reader = response.body.getReader();
const decoder = new TextDecoder();
let fullResponse = '';
while (true) {
const { done, value } = await reader.read();
if (done) break;
res.write(decoder.decode(value, { stream: true }));
const chunk = decoder.decode(value, { stream: true });
fullResponse += chunk;
res.write(chunk);
}
res.end();
// Parse token usage from the final SSE message
const tokenUsage = extractTokenUsage(fullResponse);
if (tokenUsage) {
const usageEntry = {
timestamp: Date.now(),
conversationId: req.body.conversationId || 'unknown',
model,
promptTokens: tokenUsage.promptTokens,
completionTokens: tokenUsage.completionTokens,
totalTokens: tokenUsage.totalTokens,
};
tokenUsageLog.push(usageEntry);
console.log(`Token usage: ${usageEntry.totalTokens} tokens (${usageEntry.promptTokens} prompt, ${usageEntry.completionTokens} completion) for model ${model}`);
}
} catch (error) {
console.error('Proxy error:', error);
res.status(500).json({
@@ -427,6 +481,60 @@ app.get('/api/health', (req, res) => {
res.json({ status: 'ok', timestamp: new Date().toISOString() });
});
// Token usage tracking endpoints
app.get('/api/token-usage', (req, res) => {
try {
const { period = 'all', conversationId } = req.query;
let filtered = [...tokenUsageLog];
if (conversationId) {
filtered = filtered.filter((e) => e.conversationId === conversationId);
}
if (period === 'today') {
const todayStart = new Date();
todayStart.setHours(0, 0, 0, 0);
filtered = filtered.filter((e) => e.timestamp >= todayStart.getTime());
} else if (period === 'week') {
const weekStart = new Date();
weekStart.setDate(weekStart.getDate() - 7);
filtered = filtered.filter((e) => e.timestamp >= weekStart.getTime());
}
const promptTokens = filtered.reduce((sum, e) => sum + e.promptTokens, 0);
const completionTokens = filtered.reduce((sum, e) => sum + e.completionTokens, 0);
const totalTokens = filtered.reduce((sum, e) => sum + e.totalTokens, 0);
// Per-model breakdown
const modelBreakdown = {};
filtered.forEach((entry) => {
if (!modelBreakdown[entry.model]) {
modelBreakdown[entry.model] = { promptTokens: 0, completionTokens: 0, totalTokens: 0, requestCount: 0 };
}
modelBreakdown[entry.model].promptTokens += entry.promptTokens;
modelBreakdown[entry.model].completionTokens += entry.completionTokens;
modelBreakdown[entry.model].totalTokens += entry.totalTokens;
modelBreakdown[entry.model].requestCount += 1;
});
res.json({
summary: { promptTokens, completionTokens, totalTokens, requestCount: filtered.length },
modelBreakdown,
history: filtered.slice(-100), // last 100 entries
});
} catch (error) {
console.error('Token usage error:', error);
res.status(500).json({ error: error.message });
}
});
app.delete('/api/token-usage', (req, res) => {
tokenUsageLog.length = 0;
tokenUsageStats.clear();
res.json({ success: true });
});
app.listen(PORT, () => {
console.log(`AIUI Backend running on port ${PORT}`);
console.log(`Upload directory: ${uploadDir}`);