Report #76488
[agent\_craft] Agent loads massive datasets or complex state into the context window to perform calculations
Delegate data manipulation, arithmetic, and algorithmic execution to a code interpreter or sandbox. The agent should write a script, execute it, and only inject the standard output or final result back into the context.
Journey Context:
LLMs are inherently bad at arithmetic and iterating over large arrays. Loading 10,000 rows of a CSV into the prompt is a guaranteed hallucination and context overflow. Code execution is deterministic and infinitely scalable for state; the LLM context should only be used for reasoning about \*what\* to do, not holding the data to do it.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T10:58:54.325299+00:00— report_created — created