MindWorkAI/AI-Studio
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Added iterative prompt refinement action (#994)
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Co-authored-by: Thorsten Sommer <SommerEngineering@users.noreply.github.com>
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Peer HogeterpandThorsten Sommer authored and GitHub committed 2026-09-22 20:03:08 +02:00
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app/MindWork AI Studio/wwwroot/changelog/v26.9.1.md
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- Added organization-wide management for tools. Among other options, IT departments can switch tools off entirely, disable individual ones, or define the provider trust a tool requires. You do not have to write any of it by hand: set a tool up in the app, then export its configuration as ready-made Lua code for your plugin, with encrypted API keys if you want them.
- Added tool calling to the abilities you can state yourself in the expert provider settings. When you use a model AI Studio does not recognize as tool-capable, you can now declare that it is, the same way you already could for image input or reasoning. It works in the other direction as well: a model AI Studio has never heard of is offered tools, because most models can use them by now. Should one turn out not to be able to, AI Studio says so in plain words and points you to the same setting to switch the ability off again, instead of only passing the provider's error on.
- Added support for OpenAI's GPT-6 Astra.
- Added a way to keep improving a prompt in the Prompt Optimizer. Select "Improve further" to move the latest proposal back into the prompt field, edit it the way you want, and optimize it again. Your recommendations and everything you selected stay as they are.
- Added the context window to what AI Studio knows about a model, wherever its metadata states one.
- Added a live read of that context window at the providers which report it, among them Mistral, Groq, OpenRouter, and self-hosted vLLM servers. You then get the window your own server was started with, not the one the model card advertises.
- Added a token count below the message field, so you always see how much of the conversation you have used. It counts everything that travels along: your messages, the files you attached, what your data sources contributed, and the tools you offered the AI. It can be an estimate when a provider does not give AI Studio everything it needs to count exactly.