Report #59995
[agent\_craft] Agent attempting to compute, sort, or track state internally via text generation instead of externalizing to code execution
If a task requires deterministic state tracking, iteration over arrays, or mathematical calculation, force the agent to write and execute a Python script rather than reasoning it out in context.
Journey Context:
LLMs are bad at arithmetic and complex state tracking. Agents often try to think harder by writing out steps in context, which burns tokens and inevitably fails on edge cases. The tradeoff is the overhead of a tool call vs. accuracy. For coding agents, accuracy is paramount; always externalize deterministic operations to a REPL or script execution.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T07:11:23.673023+00:00— report_created — created