An open-source optimization layer for AI/LLM applications that reduces unnecessary token usage, latency, memory, and inference cost while preserving response quality.

4 Open Issues Need Help Last updated: Sep 16, 2026

Open Issues Need Help

View All on GitHub
documentation good first issue

An open-source optimization layer for AI/LLM applications that reduces unnecessary token usage, latency, memory, and inference cost while preserving response quality.

Python
documentation good first issue

An open-source optimization layer for AI/LLM applications that reduces unnecessary token usage, latency, memory, and inference cost while preserving response quality.

Python
enhancement good first issue tests

An open-source optimization layer for AI/LLM applications that reduces unnecessary token usage, latency, memory, and inference cost while preserving response quality.

Python
enhancement good first issue roadmap:v0.2

An open-source optimization layer for AI/LLM applications that reduces unnecessary token usage, latency, memory, and inference cost while preserving response quality.

Python