Title: Release: datasette-enrichments-llm 0.2a1 | BestBlogs.dev
URL Source: https://www.bestblogs.dev/article/5e8e5e9f
Published Time: 2026-04-01 22:00:34
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Release: datasette-enrichments-llm 0.2a1
S Simon Willison's Weblog @Simon Willison
One Sentence Summary
Release of datasette-enrichments-llm 0.2a1, introducing the passing of the triggering actor to the LLM enrichment method.
Summary
This is a brief release announcement for version 0.2a1 of the datasette-enrichments-llm plugin. The primary update in this alpha release is that the 'actor' who triggers an enrichment is now passed to the llm.mode() method. This allows the plugin to maintain context regarding which user initiated the LLM-based data enrichment process.
Main Points
* 1. Datasette-enrichments-llm version 0.2a1 is now available.This is a minor alpha release of the plugin designed to enrich Datasette tables using Large Language Models. * 2. Actor context is now passed to the enrichment method.The update ensures that the identity of the user (actor) triggering the enrichment is available to the underlying LLM call, enabling better auditing or user-specific logic.
Metadata
AI Score
76
Website simonwillison.net
Published At Yesterday
Length 27 words (about 1 min)
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1st April 2026
Releasedatasette-enrichments-llm 0.2a1— Enrich data by prompting LLMs
> * The actor who triggers an enrichment is now passed to the llm.mode(... actor=actor) method. #3
S Simon Willison's Weblog @Simon Willison
One Sentence Summary
Release of datasette-enrichments-llm 0.2a1, introducing the passing of the triggering actor to the LLM enrichment method.
Summary
This is a brief release announcement for version 0.2a1 of the datasette-enrichments-llm plugin. The primary update in this alpha release is that the 'actor' who triggers an enrichment is now passed to the llm.mode() method. This allows the plugin to maintain context regarding which user initiated the LLM-based data enrichment process.
Main Points
* 1. Datasette-enrichments-llm version 0.2a1 is now available.
This is a minor alpha release of the plugin designed to enrich Datasette tables using Large Language Models.
* 2. Actor context is now passed to the enrichment method.
The update ensures that the identity of the user (actor) triggering the enrichment is available to the underlying LLM call, enabling better auditing or user-specific logic.
Key Quotes
* The actor who triggers an enrichment is now passed to the llm.mode(... actor=actor) method.
AI Score
76
Website simonwillison.net
Published At Yesterday
Length 27 words (about 1 min)
Tags
Datasette
LLM
Data Enrichment
Software Release
Open Source
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