A chatbot feels like it remembers you. It doesn't — it's stateless. Everything it "knows" is just...
Context windows are fixed token limits; when full, older messages vanish permanently—LLMs lack memory, operating stateless with text resent each call. For tech leads: token costs grow per request, 'lost in the middle' hurts accuracy on large contexts, requiring RAG and summarization over raw retention.
A chatbot feels like it remembers you. It doesn't — it's stateless. Everything it "knows" is just text resent each call, up to a fixed limit: the context window. When the box fills, the oldest messages fall off the edge and are genuinely gone.
The model is stateless
reply = model(allMessagesSoFar); // the app resends the whole history every turn
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