Analysis
This is fantastic news! By optimizing system prompts, pruning the context window, and utilizing GPT-4o-mini, this project has significantly reduced token consumption. It's truly exciting to see that cost optimization and quality improvement can go hand in hand, leading to even better agent performance.
Key Takeaways
- •Achieved a 41% reduction in token consumption.
- •Strategies include simplifying system prompts and pruning the context window.
- •Quality of agent responses was maintained or improved.
Reference / Citation
View Original"These measures reduced the overall token consumption by 41%. There was no impact on quality—in fact, in some cases, more concise prompts improved the agent's response quality."