How to Manage LLM Context Windows for AI Agents
Full write-up with architecture diagrams: https://arize.com/blog/how-to-manage-llm-context-windows-for-ai-agents/
Part one (planning): https://arize.com/blog/how-to-build-planning-into-your-agent
This is part two of our deep dive series on how we built Alyx, our AI engineering agent — this one is on context management.
Once an agent starts executing a plan, it generates a massive amount of data. Traces, spans, tool results, conversation history — all of it has to fit in a finite context window. How you manage what goes in, what gets trimmed, and what gets dropped entirely determines whether …
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