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Developers report a fix for “context bloat” in AWS Strands AI agents by limiting the size of tool outputs included in chat history

Feature update Provisional 62% confidence first seen

The coverage describes how AWS Strands AI agents can fail or degrade when tool outputs are too large, because the model repeatedly re-reads full prior tool responses while generating subsequent steps. One implemented plugin addressed this by storing large tool outputs externally via short IDs, reducing agent chat history from roughly 252K tokens to about 9K tokens and capping repeat tool calls to keep the agent loop more controlled.

AWS AWS Strands AWS Strands Chew Loong Nian Strands agent framework tool output

Source coverage

AI agents can drown when tool outputs get too large (AWS Strands context bloat fix) YouTube newsletter Cutting tool-output bloat in practice: one plugin reduced AWS Strands history from ~252K to ~9K tokens pub.towardsai.net newsletter

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