Write a Simple Code Agent using moonbitlang/async (www.moonbitlang.com)

A newly announced framework, "maria," leverages the moonbitlang/async library to create a simple code agent capable of executing tasks through a Large Language Model (LLM). In this demonstration, a basic agent operates by sending user input to the LLM, which can request tool functionality until no further actions are needed. The primary loop consists of capturing responses, handling tool calls, and managing an ongoing message queue, allowing seamless interaction between code execution and the LLM's responses. This development is significant for the AI/ML community as it showcases the practical application of async programming in building agents that can engage with external tools and systems, enriching the capabilities of LLMs. Key technical details include the use of JSON for type-safe communication with the LLM and the implementation of tools like file reading and command execution, expanding the functional range of code agents. By addressing potential authentication and structural concurrency issues, the framework ensures a robust and efficient agent design, paving the way for more complex applications in AI-driven automation.