Context Windows Obsolete: Billion-Token Sessions

🔥 What happened A new plugin called billion-context sits between any agent and its model API, compressing conversation history into layered summaries and cutting token usage fivefold. In a 4.5-month run with 174,327 model calls and 18.76 billion input tokens, it logged zero context-window violations. 💡 Why it matters Instead of hard truncation, the model itself decides when to fold ranges into reversible, prefix-cache-friendly summaries. Its own benchmarks claim a 16.6-point win over the best RAG arm on LongMemEval-S and 100% survival on a 1.48M-token session where full context fails every time. ⚡ Our take If the numbers hold, context-window anxiety is over. But a proxy rewriting every API stream is a massive single point of failure — we want independent audits, not just in-house benchmarks.