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Fix LLM Context Window Overflow in Long Agent Runs

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AI & Agents intermediate 7 min read $0.01 Updated 2026-10-18

A procedure for keeping agent prompts inside the context window: measure token use per component, protect system instructions and task state, truncate or summarize tool output, keep a structured scratchpad, and test for lost-instruction failures.

Long agent runs fail with context length errors or quietly lose the instructions that mattered. Count tokens, decide what must never be dropped, and compress the rest in a way you can audit.

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#context-window#tokens#summarization#agents#truncation

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