llm-openai-decisions 0.1a0

# Release: llm-openai-decisions 0.1a0 Source: [https://simonwillison.net/2026/Oct/6/llm-openai-decisions/](https://simonwillison.net/2026/Oct/6/llm-openai-decisions/) OpenAI released their new Jev\-style[Decisions API](https://developers.openai.com/api/docs/guides/decisions), as previously announced at last week's DevDay\. Since I already have an[llm\-typesafe](https://github.com/simonw/llm-typesafe)plugin for talking to Jev, I had GPT\-6 Astra read the new OpenAI API documentation and build an`llm\-openai\-decisions`plugin inspired by`llm\-typesafe`\. Unlike Jev, the new`gpt\-6\-luna`decision model supports image input in addition to text\. Both models charge for input it and not for output: OpenAI's is 10 cents per million input tokens, Jev's is 4\.2 cents per million\. Otherwise the API shape is*very*similar to Jev, at least conceptually\. Jev[supports three question types](https://simonwillison.net/2026/Sep/21/jev/#three-types)for yes/no, choices, or scores\. OpenAI Decisions supports the same three types\. Install the plugin like this: ``` llm install llm-openai-decisions ``` Here's an example query against an image attachment: ``` llm -m openai-decisions/gpt-6-luna \ -a https://static.simonwillison.net/static/2025/two-pelicans.jpg \ -s 'Does this image contain any mammals?' ``` And example output: ``` {"type": "predicate", "name": "evaluation", "probability": 0.0} ``` Consult[the README](https://github.com/simonw/llm-openai-decisions/blob/main/README.md)for full details of how to run the other types of questions\.