Sandboxing LLM Code Execution: Architecture, Isolation Boundaries, and Performance Trade-Offs
Autonomous AI agents increasingly operate beyond static text generation, leveraging runtime code execution loops to solve software engineering tasks, execute data analysis pipelines, and automate system administration. When an LLM generates and executes Python scripts, bash commands, or package installations, the hosting infrastructure transitions from processing standard API requests to running arbitrary, unauthenticated code. Treating LLM-generated code as inherently hostile is now standard p
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