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datasette-llm 0.1a10

· Source: Simon Willison

The 0.1a10 release of datasette‑llm has been published, fixing a bug that prevented the list of large language models (LLMs) shown on the demo site agent.datasette.io from matching the specified configuration. In earlier versions, the application included models that were not declared in the configuration file, which could confuse users and make it harder to choose the right tool for their queries. The patch, identified in pull request #11, limits the available models to only those listed in the configuration, ensuring the interface accurately reflects the supported options.

This update is part of the Datasette ecosystem, a data publishing and exploration platform that allows AI functionality to be added through plugins such as datasette‑llm. By ensuring that only authorized models are accessible, the reliability of the test environment is improved and the risk of running queries with unwanted or sub‑optimal models is reduced.

Why it matters: The fix strengthens consistency between configuration and user experience, which is critical for projects that rely on precise LLM responses. Stabilizing the demo also makes it easier for developers and analysts to evaluate AI integration in their own datasets without encountering unexpected behavior.

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