新闻
TokenCast: Forecasting Token Consumption During LLM Agent Execution
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- TokenCast predicts token consumption for LLM agent tasks by tracking execution segments and context growth, updating forecasts as runs unfold.
- 为何重要
- Matters for engineers building agentic systems who need to budget API costs and predict resource requirements before or during execution.
- 注意
- Method tested on specific benchmarks and agent models; generalization to other task types or novel agent architectures remains unclear.
- agent
- llm
- language model
- token
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