Multiagent Chatbot with o1

Soon we can chat with o1 on a website with your phone, upload files, and create AI agents. With O1's strong reasoning capabilities, you can have a very intelligent chatbot that can handle multiple servers. We can even create LDB-based agents that can reason before sending outputs, combining a debugger and a Reflexion agent to not only fix bugs correctly but also attempt to improve the code's time and space complexity. We can use it to optimize costs multiple times cheaper if we can also use it to transpile code from 1 language to another like from Python to C++ resulting in 10-100x cheaper costs, especially for cloud deployments like AWS, GCP, or Azure. And translate code to maximize its efficiency. Implementing Language Agent Tree Search (LATS) for optimizing the space complexity and time complexity in combination with the LDB debugger. Both working together will be able to not only solve problems correctly but to also explore better and more efficient and cheaper solutions. Please run the Spirit AGI main.py and go to the website, it will use the localhost as a server in the UI, you load the nodes and then run the nodes https://github.com/sprites20/Spirit-AGI The build code for the website: https://github.com/sprites20/sprites20.github.io Source code of website: https://github.com/sprites20/sprites20.github.io/tree/main/src Website link in presentation