How toAgents & ToolsThe Neuron · 3h ago
Prevent AI Agents From Overloading Context Windows With Tool Outputs
Learn how to manage agent memory by storing raw tool outputs externally and substituting short identifiers. This workflow reduces API token usage and prevents agent performance degradation during repetitive tool calls.
Try it yourself
- 1Identify tools in your agent workflow that generate extensive data such as log files or web search results.
- 2Modify tool functions to write full results to external storage and return only a unique reference ID alongside a brief summary.
- 3Set strict limiters on the maximum number of times an agent can call a single tool within a single execution loop.
- 4Provide clear completion criteria so the agent terminates once it acquires the required answer.
Copy this prompt
Review my agent for tools that can return large outputs such as logs, search results, or files. For each one: (1) save the full output to a file and return only a short summary plus a file ID, (2) set a maximum number of calls per tool per task, and (3) add a clear done condition so the agent stops once it has an answer.
AWS
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