
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.
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.
Summaries like this, every morning.
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.
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