{ch@tty cod:r} documentation

The chatty-coder is an agent-based human-in-the-loop computer program code generator. It is based on the idea introduced in the 2024 paper Can Language Models Solve Olympiad Programming?¹, which uses a combination of self-reflection and retrieval over episodic knowledge with human-in-the-loop collaboration to improve code generation responses of language models to coding challenges from the USA Computing Olympiad (USACO). The chatty-coder resembles the functionality of the experimental LangGraph-based implementation, called Competitive Programming, of the aforementioned paper. The chatty-coder project has a Gradio-based user interface and an associated FastAPI-based REST API.