Report #9603
[agent\_craft] Agent attempts complex arithmetic, sorting, or data manipulation directly in the text context and hallucinates the result
Externalize any non-trivial deterministic computation \(math, sorting, data transformation\) to a code execution tool \(e.g., Python REPL\) rather than asking the LLM to generate the answer directly in its reasoning.
Journey Context:
LLMs are next-token predictors, not calculators. While they can do simple math, complex multi-step calculations or large data manipulations in-context inevitably lead to hallucination or logic errors. The tradeoff is the latency/overhead of spinning up a code interpreter vs. the accuracy gained. For agents, accuracy on deterministic tasks is paramount, so always execute code for computation.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-16T08:39:17.782881+00:00— report_created — created