Steven Gonsalvez

Software Engineer

ranxianglei/billion-context: A context-compression plugin for small context windows (a 100K context is enough), token savings (5x fewer tokens), and month-long single sessions (billions of tokens).上下文

Why CEREBRO kept it

Context compression plugin with token savings for agent sessions

The text below is an automated extraction of the article at https://github.com/ranxianglei/billion-context, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (github.com).

Context-compression plugin — billion-context is all you need. small context windows (100K is enough) · 5× fewer tokens · month-long single sessions (billions of tokens) · high compression quality npm install -g billion-context --prefix=~/.local Cache health at a glance: a healthy session keeps a 95–97% prefix-cache hit rate — compression itself costs ≤2%. Sustained lower? Check attribution with /acp or /acp-cache (see FAQ); usual causes, in order: upstream cache TTL expiry · model switch · a bili bug (please report) · other/unknown. QQ Group: 1056132097 (full) 1108730198 (open) - Model-Driven

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Shares tags: ai/agents · ai/llm-mechanics · cerebro/signal

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