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feat: add Next.js metrics dashboard for real-time visualization
Add a lightweight Next.js dashboard to visualize OpenProxy metrics in real-time. The dashboard provides comprehensive insights into LLM API usage, costs, and performance. Features: - Real-time metrics overview (requests, tokens, costs, response times) - Model breakdown with usage statistics - Hourly trends visualization with charts - Recent requests table with detailed information - Auto-refresh every 30 seconds - Configurable time ranges (1h, 6h, 24h, 7d) Technical details: - Built with Next.js 14 and React 18 - Uses Recharts for data visualization - Connects directly to PostgreSQL database - Runs on port 3008 by default - TypeScript for type safety - Minimal dependencies for lightweight deployment The dashboard complements the proxy server by providing a user-friendly interface for monitoring and analyzing LLM API usage patterns.
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'use client';
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import {
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LineChart,
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Line,
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XAxis,
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YAxis,
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CartesianGrid,
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Tooltip,
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Legend,
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ResponsiveContainer,
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} from 'recharts';
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interface TrendsChartProps {
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trends: {
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hour: string;
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requests: string;
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tokens: string;
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cost: string;
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avg_response_time: string;
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}[];
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}
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export default function TrendsChart({ trends }: TrendsChartProps) {
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if (!trends || trends.length === 0) {
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return (
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<div style={styles.container}>
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<h2 style={styles.title}>Hourly Trends</h2>
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<div style={styles.card}>
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<p style={styles.noData}>No trend data available</p>
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</div>
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</div>
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);
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}
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const chartData = trends.map((trend) => ({
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time: new Date(trend.hour).toLocaleString('en-US', {
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month: 'short',
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day: 'numeric',
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hour: '2-digit',
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}),
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requests: parseInt(trend.requests),
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tokens: parseInt(trend.tokens),
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cost: parseFloat(trend.cost),
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responseTime: Math.round(parseFloat(trend.avg_response_time)),
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}));
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return (
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<div style={styles.container}>
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<h2 style={styles.title}>Hourly Trends</h2>
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<div style={styles.card}>
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<div style={styles.chartContainer}>
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<h3 style={styles.chartTitle}>Requests & Response Time</h3>
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<ResponsiveContainer width="100%" height={300}>
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<LineChart data={chartData}>
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<CartesianGrid strokeDasharray="3 3" stroke="#e0e0e0" />
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<XAxis dataKey="time" stroke="#7f8c8d" fontSize={12} />
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<YAxis yAxisId="left" stroke="#3498db" fontSize={12} />
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<YAxis yAxisId="right" orientation="right" stroke="#e74c3c" fontSize={12} />
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<Tooltip
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contentStyle={{
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backgroundColor: '#fff',
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border: '1px solid #ddd',
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borderRadius: '4px',
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}}
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/>
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<Legend />
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<Line
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yAxisId="left"
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type="monotone"
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dataKey="requests"
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stroke="#3498db"
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strokeWidth={2}
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name="Requests"
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dot={{ r: 3 }}
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/>
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<Line
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yAxisId="right"
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type="monotone"
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dataKey="responseTime"
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stroke="#e74c3c"
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strokeWidth={2}
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name="Avg Response Time (ms)"
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dot={{ r: 3 }}
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/>
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</LineChart>
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</ResponsiveContainer>
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</div>
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<div style={styles.chartContainer}>
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<h3 style={styles.chartTitle}>Tokens & Cost</h3>
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<ResponsiveContainer width="100%" height={300}>
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<LineChart data={chartData}>
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<CartesianGrid strokeDasharray="3 3" stroke="#e0e0e0" />
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<XAxis dataKey="time" stroke="#7f8c8d" fontSize={12} />
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<YAxis yAxisId="left" stroke="#9b59b6" fontSize={12} />
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<YAxis yAxisId="right" orientation="right" stroke="#27ae60" fontSize={12} />
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<Tooltip
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contentStyle={{
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backgroundColor: '#fff',
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border: '1px solid #ddd',
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borderRadius: '4px',
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}}
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/>
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<Legend />
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<Line
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yAxisId="left"
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type="monotone"
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dataKey="tokens"
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stroke="#9b59b6"
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strokeWidth={2}
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name="Tokens"
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dot={{ r: 3 }}
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/>
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<Line
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yAxisId="right"
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type="monotone"
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dataKey="cost"
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stroke="#27ae60"
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strokeWidth={2}
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name="Cost ($)"
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dot={{ r: 3 }}
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/>
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</LineChart>
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</ResponsiveContainer>
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</div>
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</div>
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</div>
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);
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}
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const styles = {
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container: {
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marginBottom: '2rem',
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},
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title: {
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fontSize: '1.5rem',
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marginBottom: '1.5rem',
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color: '#2c3e50',
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},
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card: {
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backgroundColor: '#fff',
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borderRadius: '8px',
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boxShadow: '0 2px 4px rgba(0,0,0,0.1)',
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padding: '1.5rem',
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},
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chartContainer: {
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marginBottom: '2rem',
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},
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chartTitle: {
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fontSize: '1.1rem',
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marginBottom: '1rem',
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color: '#2c3e50',
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},
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noData: {
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padding: '2rem',
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textAlign: 'center' as const,
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color: '#7f8c8d',
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},
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};
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