Lexi
Proxy that sits between your code and LLMs, restructuring context to cut tokens and cost while preserving results.
What it does
Lexi (lexisaas.com) is an LLM optimization proxy that reduces token usage and cost. It sits between an application and the model, restructuring conversation context before each call so fewer tokens are sent while results stay comparable. It supports many models across major providers via one endpoint with a one-line base-URL change, keeps context bounded for long sessions, and charges only a share of the savings.
Core features
Context restructuring to cut tokens per call
Drop-in proxy via a single base-URL change
Access to 33 models across major providers
Bounded context for long, multi-turn sessions
Pinned fact retention to preserve key details
Pay only a percentage of realized savings
Best for
→Lower LLM API costs without changing application code
→Keep long AI conversations from hitting context limits
→Route multi-provider AI traffic through one endpoint
Pricing
Free
Usage-based: provider cost + 40% of token savings
Reviews
Big-picture takes: what it's for and whether it delivers. High-engagement YouTube videos — not sponsored.