UTILITY SYSTEM FOR AUTOMATED CODE GENERATION AND EXECUTION

Smart overview of the Invention

Overview: The system is designed to generate and execute computer programming code from user requests provided as text prompts. It utilizes a series of steps involving Large Language Models (LLMs) to create a plan and then code, which are executed in a controlled environment. This process allows users to automate tasks without needing extensive programming knowledge, making the benefits of advanced coding accessible to a broader audience.

Technical Background: Traditionally, software engineering has been costly and complex, limiting automation for many tasks. With the advent of Foundation Models (FMs), it is now feasible to derive functional code from natural language inputs. However, these models require an operational environment and often need oversight by engineers. The proposed system addresses these challenges by providing a platform where FMs can safely and effectively generate and execute code.

System Functionality: The tool operates by receiving user prompts through a user interface (UI), which are then translated into a sequence of operations or a 'plan' by the LLM. Another LLM prompt generates the corresponding code, specifying permissible instructions. This code is executed in a controlled environment called the Large Language Model Code Interpreter and Execution Environment (LCIEE), which manages function execution, error handling, and API interactions.

User Interaction: Users input requests in natural language, such as creating content or retrieving information from the internet. The LCIEE processes these requests by generating a plan, executing code, and presenting results within the UI. For example, a user might request to research Brittany Spaniels, write a haiku about them, post it on social media, download an image, and draft an email summary—all accomplished through this automated system.

Capabilities and Flexibility: LCIEE not only processes data but also interacts with external applications via APIs. It can handle complex plans by breaking them into simpler operations recursively. Ambiguities in user prompts are flagged for resolution, ensuring clarity before execution. The system's design allows users to save completed tasks for future reuse, thus enhancing productivity and efficiency in automating routine or complex tasks.