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Large Language ModelsOpen-Source AISimon Willison's WeblogPublished: Nov 15, 2026, 10:01 JST

datasette-llm 0.1a11 adds OpenAI-compatible endpoints

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datasette-llm 0.1a11 adds OpenAI-compatible endpoints

3 Key Points

  1. What happened

    datasette-llm 0.1a11, the intermediate plugin that configures LLMs for other Datasette plugins, now supports OpenAI-compatible endpoints, so Datasette can point at any host speaking the OpenAI web protocol.

  2. Why it matters

    the plugin's configuration now covers LLMs served through that protocol rather than a narrower set of backends, which widens where a Datasette deployment can source its model from.

WHO IT HITSTeams running Datasette who want to point it at a locally hosted model can now configure it through the OpenAI-compatible protocol instead of being limited to other backends, based on the release notes.

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Context & Analysis

datasette-llm sits between Datasette and the other plugins that actually use a model, so any change to what it can connect to propagates to those plugins. This release widens that connection layer to the OpenAI pseudo-standard web protocol, which is the same interface used by several locally run model servers.

The practical effect is in deployment: instead of a configuration tied to one backend, the plugin's default_model settings can now include an api_base pointing at a host that speaks that protocol. The example in the release pairs this with datasette-agent and a local endpoint to stand up a working instance.

FAQ
What does datasette-llm actually do?
It is the intermediate plugin for Datasette that supports configuring LLMs for use with other Datasette plugins.
How do I run Datasette with a local model?
The release shows a uvx command that launches Datasette with datasette-agent, passing a default_model setting with an api_base such as http://localhost:1234/v1.
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