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Code Execution
Safely execute LLM-generated code in isolated environments for calculations and data processing
In 30 seconds
- What
- Generates code from prompts, runs it in isolated sandboxes, captures output and errors for the agent to process.
- When to use
- Tasks requiring calculations, data transformation, file processing, or verification where LLM reasoning alone is insufficient.
- Watch out
- Sandboxes leak resources or fail silently; always validate generated code logic before execution and set hard timeouts.
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Code Execution: Overview
Safely execute LLM-generated code in isolated environments for calculations and data processing
- Dynamic code generation
- Safe execution environments
- Multiple language support
- Result validation
- Error handling and debugging
- Resource management
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References
The papers, specifications, and repositories this pattern is based on.
- SandboxEval: Comprehensive Test Suite for LLM Assessment Environments
- Security of AI Agents: System Security Perspective on VulnerabilitiesarXiv:2406.08689
- Vulnerability Handling of AI-Generated CodearXiv:2408.08549
- Optimizing AI-Assisted Code Generation: Security & Quality
- SWE-bench: Real-World Software Engineering Benchmark
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