Repository History

2 repositories tagged with Token Optimization

Topic: Token Optimization
tooltrim: Drastically Reduce LLM Agent Tool Output Tokens, Improve Accuracy

tooltrim: Drastically Reduce LLM Agent Tool Output Tokens, Improve Accuracy

tooltrim provides drop-in compression for LLM agent tool outputs, drastically cutting tokens while often improving answer accuracy. This provider-agnostic solution offers content-aware compression, faithfulness benchmarks, and seamless integration with popular frameworks or as an OpenAI-compatible proxy.

Analyzed Sep 16, 2026
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Headroom: Drastically Reduce LLM Token Usage for AI Agents

Headroom: Drastically Reduce LLM Token Usage for AI Agents

Headroom is an innovative context compression layer for AI agents, designed to significantly reduce token usage for LLMs. It achieves 60-95% fewer tokens across various inputs like tool outputs, logs, files, and RAG chunks, all while preserving answer accuracy. This powerful tool enhances efficiency and cost-effectiveness for AI interactions.

Analyzed Jun 25, 2026
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