Recursive Language Model w/ Judge Agent

Documents are uploaded, parsed and stored as markdown files where the agent will have access to in order to gain relevant information to come up with a response for the user. Uses tools like grep to look for patterns and read_range to read a range of characters in the document it chooses to read through. It will also have the ability to break down the task given to smaller tasks and give it to a subagent to do which will report back with its own insights to the agent that called it. Using all these information, the main agent will come up with a response and pass it on to a judge agent. The judge agent will then do its own research and verify if the response is a satisfactory answer to show the user. If it is, it will return that response to the frontend. If not, it will return the prompt back to the main agent with the rating and its reasoning for the rating so the main agent can improve upon it. This loop happens for maximum 5 times to prevent infinite recursion. If the max retries is hit, the best response in the 5 tries will be returned.