What problem it solves

Long coding sessions can grow until they exceed the model's context window, causing the session to degrade or stop. This plugin addresses that problem by compressing consumed conversation into layered summaries while retaining the ability to restore details when needed.

Key features

• Proxy-based model integration — The proxy accepts Anthropic- or OpenAI-shaped requests, applies compression to the conversation, and forwards the request to the real model API. It also rewrites the streaming response.

  Source: README

• Model-directed compression — The model determines when and what to compress into detailed summaries rather than imposing a fixed truncation limit.

  Source: README

• Incremental and reversible summaries — Consumed conversation is folded into layered summaries in small ranges. Compressed ranges can later be decompressed when their exact details are required.

  Source: README

• Context-management tools — The proxy injects four tools that let the model compress, restore, search, and inspect managed context as the conversation grows.

  Source: README

Quick start

Copied verbatim from the project's README.

npm install -g billion-context --prefix=~/.local

Who it may suit

This project may suit developers using coding agents in long-running sessions, particularly those who need reversible summaries and client-specific integration options.

Topics to discuss

• Which client integrations should receive priority for future context-management improvements?

• How should reversible compression balance summary fidelity against context-window usage?

• What diagnostics would help users distinguish compression issues from cache or provider problems?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/ranxianglei/billion-context#readme

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