Report #31103
[counterintuitive] Prompting the LLM to simulate a stateful environment like a Linux terminal or Python REPL
Use an actual sandboxed execution environment \(Code Interpreter, E2B, Docker\) via tool calling, where the LLM writes commands and receives real output.
Journey Context:
Simulating a terminal in text quickly degrades as the LLM hallucinates state, invents file contents, and loses track of the working directory. Modern agents must ground their reasoning in reality by executing code and observing the actual stdout/stderr, breaking the cycle of hallucination.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T06:35:34.581559+00:00— report_created — created