LLM Agents

A minimalistic library for building agents that leverage large language models to automate tasks through a loop of commands and tool integrations. Executing Python code in a REPL environment. Conducting searches on Google and Hacker News. Iterating through a cycle of Thought, Action, Observation, and New Thought based on the output of integrated tools. Dynamically appending new information to the prompt for informed decision-making by the agent.