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ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
2026-08-20 13:12:50 +00:00

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import React from 'react';
import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer } from 'recharts';
interface AttentionStatsProps {
attentionData: {
tokens: string[];
attention_matrix: number[][];
num_layers: number;
num_heads: number;
};
}
export default function AttentionStats({ attentionData }: AttentionStatsProps) {
// Calculate statistics from attention matrix
const calculateStats = () => {
const { attention_matrix, tokens } = attentionData;
if (!attention_matrix || attention_matrix.length === 0) {
return { avgAttention: [], maxAttention: [], entropy: [] };
}
const avgAttention = attention_matrix.map(row => {
const sum = row.reduce((a, b) => a + b, 0);
return sum / row.length;
});
const maxAttention = attention_matrix.map(row => Math.max(...row));
// Calculate entropy for each position
const entropy = attention_matrix.map(row => {
const sum = row.reduce((a, b) => a + b, 0);
if (sum === 0) return 0;
const probs = row.map(v => v / sum);
return -probs.reduce((e, p) => {
if (p === 0) return e;
return e + p * Math.log2(p);
}, 0);
});
return { avgAttention, maxAttention, entropy };
};
const stats = calculateStats();
// Prepare data for chart.
// avgAttention has one entry per matrix row (one per OUTPUT token), while
// attentionData.tokens is the full input+output sequence. Offset into the
// output-token slice so each stat lines up with the token it describes,
// instead of pairing output stats with the first (input) tokens.
const rowTokenOffset = Math.max(0, attentionData.tokens.length - stats.avgAttention.length);
const chartData = attentionData.tokens.slice(rowTokenOffset, rowTokenOffset + stats.avgAttention.length).map((token, idx) => ({
position: idx,
token: token.length > 10 ? token.substring(0, 10) + '...' : token,
avgAttention: stats.avgAttention[idx]?.toFixed(4) || 0,
maxAttention: stats.maxAttention[idx]?.toFixed(4) || 0,
entropy: stats.entropy[idx]?.toFixed(4) || 0,
}));
// Calculate global statistics
const globalStats = {
avgAttention: stats.avgAttention.reduce((a, b) => a + b, 0) / stats.avgAttention.length || 0,
maxAttention: stats.maxAttention.length ? Math.max(...stats.maxAttention) : 0,
avgEntropy: stats.entropy.reduce((a, b) => a + b, 0) / stats.entropy.length || 0,
};
return (
<div className="space-y-4">
<div className="card">
<h3 className="section-title">Attention Statistics</h3>
<div className="grid grid-cols-3 gap-4 mb-6">
<div className="text-center p-4 bg-blue-50 rounded-lg">
<div className="text-2xl font-bold text-blue-600">
{globalStats.avgAttention.toFixed(4)}
</div>
<div className="text-sm text-gray-600 mt-1">Avg Attention</div>
</div>
<div className="text-center p-4 bg-green-50 rounded-lg">
<div className="text-2xl font-bold text-green-600">
{globalStats.maxAttention.toFixed(4)}
</div>
<div className="text-sm text-gray-600 mt-1">Max Attention</div>
</div>
<div className="text-center p-4 bg-purple-50 rounded-lg">
<div className="text-2xl font-bold text-purple-600">
{globalStats.avgEntropy.toFixed(4)}
</div>
<div className="text-sm text-gray-600 mt-1">Avg Entropy</div>
</div>
</div>
<div className="h-64">
<ResponsiveContainer width="100%" height="100%">
<LineChart data={chartData}>
<CartesianGrid strokeDasharray="3 3" />
<XAxis
dataKey="position"
label={{ value: 'Token Position', position: 'insideBottom', offset: -5 }}
/>
<YAxis label={{ value: 'Value', angle: -90, position: 'insideLeft' }} />
<Tooltip
content={({ active, payload }) => {
if (active && payload && payload.length) {
const data = payload[0].payload;
return (
<div className="bg-white p-3 border rounded-lg shadow-lg">
<p className="font-medium mb-2">Token: {data.token}</p>
<p className="text-sm text-blue-600">Avg: {data.avgAttention}</p>
<p className="text-sm text-green-600">Max: {data.maxAttention}</p>
<p className="text-sm text-purple-600">Entropy: {data.entropy}</p>
</div>
);
}
return null;
}}
/>
<Legend />
<Line
type="monotone"
dataKey="avgAttention"
stroke="#3B82F6"
name="Average"
strokeWidth={2}
dot={false}
/>
<Line
type="monotone"
dataKey="maxAttention"
stroke="#10B981"
name="Maximum"
strokeWidth={2}
dot={false}
/>
<Line
type="monotone"
dataKey="entropy"
stroke="#8B5CF6"
name="Entropy"
strokeWidth={2}
dot={false}
/>
</LineChart>
</ResponsiveContainer>
</div>
</div>
<div className="card">
<h3 className="section-title">Model Information</h3>
<div className="grid grid-cols-2 gap-4 text-sm">
<div className="flex justify-between">
<span className="text-gray-600">Number of Layers:</span>
<span className="font-medium">{attentionData.num_layers}</span>
</div>
<div className="flex justify-between">
<span className="text-gray-600">Number of Heads:</span>
<span className="font-medium">{attentionData.num_heads}</span>
</div>
<div className="flex justify-between">
<span className="text-gray-600">Sequence Length:</span>
<span className="font-medium">{attentionData.tokens.length}</span>
</div>
<div className="flex justify-between">
<span className="text-gray-600">Matrix Dimension:</span>
<span className="font-medium">{attentionData.attention_matrix.length} × {attentionData.attention_matrix[0]?.length || 0}</span>
</div>
</div>
</div>
</div>
);
}