datasette-enrichments-llm. Today's new alpha release is datasette-enrichments-llm, a plugin for Datasette 1.0a+ that provides an enrichment that lets you run prompts against data from one or more column and store the result in another column.
So far it's a light re-implementation of the existing datasette-enrichments-gpt plugin, now using the new llm.get_async_models() method to allow users to select any async-enabled model that has been registered by a plugin - so currently any of the models from OpenAI, Anthropic, Gemini or Mistral via their respective plugins.
Still plenty to do on this one. Next step is to integrate it with datasette-llm-usage and use it to drive a design-complete stable version of that.
Recent articles
- CaMeL offers a promising new direction for mitigating prompt injection attacks - 11th April 2025
- Model Context Protocol has prompt injection security problems - 9th April 2025
- Long context support in LLM 0.24 using fragments and template plugins - 7th April 2025