AI Agent Context Limit: 6-Step Recovery Playbook

What this post added

This post provides a practical 6-step playbook for addressing AI agent context limits. It details techniques for trimming tool outputs, summarizing conversation history, migrating durable state to external storage (highlighting Redis as a suitable solution), implementing on-demand retrieval, and isolating context-heavy subtasks. It emphasizes that context limits are an architectural problem, not solely a model prompting issue, and that a fast external store is crucial for production agents.