Unverified50% confidenceFactExact time

智能体每轮调用均需传入完整上下文导致输入Token随对话轮次膨胀，被称为「上下文窗口通胀」，是成本失控的主要根源

1

Sources

50%

Confidence

Long-term

Relevance

7/6/2026

First Seen

Sources

After Spending $85,000: Real-World Lessons and Cost Insights from Lovable's Agentic Coding Journey

hackernewshackernews7/4/2026

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Unverified多轮对话中第N轮的输入成本是前N-1轮内容的总和，累积效应会导致成本抛物线式增长75% similar Unverified将循环检测与成本预测绑定，因为失控的循环往往是成本失控的直接原因70% similar UnverifiedThe KV cache VRAM usage of ultra-long context windows grows linearly with context length, causing inference latency and costs to rise significantly.69% similar

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