A simple Python implementation of the ReAct pattern for LLMs. I implemented the ReAct pattern (for Reason+Act) described in this paper. It's a pattern where you implement additional actions that an LLM can take - searching Wikipedia or running calculations for example - and then teach it how to request that those actions are run, then feed their results back into the LLM.
Recent articles
- Adding AI-generated descriptions to my tools collection - 13th March 2025
- Notes on Google's Gemma 3 - 12th March 2025
- Here's how I use LLMs to help me write code - 11th March 2025