datasette-llm 0.1a7

📰 Simon Willison's Blog

Learn about datasette-llm 0.1a7, a plugin for integrating LLMs with Datasette, and how to configure default options for specific models

intermediate Published 5 May 2026

Action Steps

Install datasette-llm 0.1a7 using pip
Configure default options for specific models using the configuration file
Test the plugin with different models and options
Use the plugin to integrate LLMs with Datasette
Explore the documentation for more information on configuration and usage

Who Needs to Know This

Developers and data scientists working with Datasette and LLMs can benefit from this release, as it provides a mechanism for configuring default options for specific models

Key Insight

💡 datasette-llm 0.1a7 provides a mechanism for configuring default options for specific LLM models, making it easier to integrate with Datasette

Key Takeaways

Learn about datasette-llm 0.1a7, a plugin for integrating LLMs with Datasette, and how to configure default options for specific models

Full Article

Title: Release: datasette-llm 0.1a7

URL Source: https://simonwillison.net/2026/May/5/datasette-llm/

Published Time: Tue, 05 May 2026 17:51:45 GMT

Markdown Content:
# Release: datasette-llm 0.1a7

# [Simon Willison’s Weblog](https://simonwillison.net/)

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5th May 2026

Release[datasette-llm 0.1a7](https://github.com/datasette/datasette-llm/releases/tag/0.1a7)— LLM integration plugin for other plugins to depend on

> * Mechanism for [configuring default options](https://github.com/datasette/datasette-llm/blob/main/README.md#configuration) for specific models.

Part of Datasette's evolving support mechanism for plugins that use LLMs. It's now possible to configure a model with default options, e.g. to say all [enrichment](https://github.com/datasette/datasette-enrichments-llm) operations should use a specific model with temperature set to 0.5.

Posted [5th May 2026](https://simonwillison.net/2026/May/5/) at 1:56 am

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datasette-llm 0.1a7

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