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
- OpenAI are quietly adopting skills, now available in ChatGPT and Codex CLI - 12th December 2025
- GPT-5.2 - 11th December 2025
- Useful patterns for building HTML tools - 10th December 2025