From my understanding, an agent is a collection of tools that can be navigated by an LLM. It follows an approach called reason-action (react) or thought-action-

From my understanding, an agent is a collection of tools that can be navigated by an LLM. It follows an approach called reason-action (react) or thought-action-observation. Spit balling here, thought means getting a prompt and having a response to it (i.e., run particular action). An action executes (e.g., executing code in python repl, using a search a api, pulling info from wikipedia). The LLM receives some feedback (observation) and the process starts over.