https://github.com/datasette/datasette-enrichments-llm

Enrich data by prompting LLMs
https://github.com/datasette/datasette-enrichments-llm

Last synced: 2 days ago
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Enrich data by prompting LLMs

• Host: GitHub
• URL: https://github.com/datasette/datasette-enrichments-llm
• Owner: datasette
• License: apache-2.0
• Created: 2024-12-05T23:33:17.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-12-05T23:38:43.000Z (4 months ago)
• Last Synced: 2025-03-27T03:51:21.333Z (20 days ago)
• Language: Python
• Size: 8.79 KB
• Stars: 10
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome_ai_agents - Datasette-Enrichments-Llm - Enrich data by prompting LLMs (Building / Datasets)
• awesome_ai_agents - Datasette-Enrichments-Llm - Enrich data by prompting LLMs (Building / Datasets)

README

        
# datasette-enrichments-llm

[![PyPI](https://img.shields.io/pypi/v/datasette-enrichments-llm.svg)](https://pypi.org/project/datasette-enrichments-llm/)

[![Changelog](https://img.shields.io/github/v/release/datasette/datasette-enrichments-llm?include_prereleases&label=changelog)](https://github.com/datasette/datasette-enrichments-llm/releases)

[![Tests](https://github.com/datasette/datasette-enrichments-llm/actions/workflows/test.yml/badge.svg)](https://github.com/datasette/datasette-enrichments-llm/actions/workflows/test.yml)

[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/datasette/datasette-enrichments-llm/blob/main/LICENSE)

Enrich data by prompting LLMs

This is an **early alpha**.

## Installation

Install this plugin in the same environment as Datasette.

```bash

datasette install datasette-enrichments-llm

```

## Usage

The plugin will enable enrichments to be run against any [LLM](https://llm.datasette.io/) model that has an LLM plugin providing [asynchronous support](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#async-models) for that model.

Multi-modal models are supported via the `media_url` parameter.

API keys currently use the default LLM mechanism, probably best set using environment variables.

## Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

```bash

cd datasette-enrichments-llm

python -m venv venv

source venv/bin/activate

```

Now install the dependencies and test dependencies:

```bash

pip install -e '.[test]'

```

To run the tests:

```bash

python -m pytest

```