Addressing the pain point of large LLM models lacking code execution and system operation capabilities in real-world scenarios, this guide provides developers with a set of AI Agent implementation solutions:
1. Build a secure, isolated execution environment (Sandbox) to host the code execution;
2. Design a standardized tool use interface to enable interaction between the LLM and the system;
3. Establish a closed-loop feedback mechanism to correct the model output based on the execution results;
4. Deploy access control and security audit systems to prevent the execution of unauthorized commands.