Background
LangManus supports Python/Bash code generation and execution, but incorrect code can lead to system anomalies or data leaks. Security is key for local deployments.
core element
- sandbox isolation: Use the virtual environment created by uv to run the code and avoid affecting the host system.
- privilege control: Restrict file operation paths in .env to prohibit access to system directories.
- Input Calibration: Add regular filters to code tasks received by the API to block dangerous commands (such as
rm -rf). - Agent Audit: Let the supervisor agent check that the code generated by the encoder matches a predefined security specification.
- Log Monitoring: Enable DEBUG mode to record all code execution logs for easy auditing after the fact.
Summary points
It is recommended that web crawling tasks be handled in conjunction with Playwright's browser isolation mechanism, and that projects are always run in a trusted environment.
This answer comes from the articleLangManus: an open source AI automation framework supporting multi-intelligence collaborationThe
May not be reproduced without permission:AI productivity tools " How to avoid LangManus framework security risks during code execution?
