A new model announcement is easy to read and forget. A small tool you can run against a real task is more useful. Moonshot announced Kimi K3.1 Pro on October 23, 2026, with API access, a one-million-token context window, and a promise to release the full weights by November 4. The launch post describes the context size and release plan, while the API quickstart documents the model and its endpoint. ( Moonshot's launch post , API quickstart ) The API is available now, so you can try the model without waiting for local hardware or model files.

This tutorial builds a small Python code-review helper using Kimi's OpenAI-compatible API. It reads one file you choose, sends the source to the model, and asks for a short review focused on correctness and tests. It does not run code, scan a whole repository, or prove that Kimi is better than another model. Treat it as a practical starting point, not an autonomous reviewer.

The examples are based on Moonshot's published API documentation.…