MindWorkAI/AI-Studio
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Added a way to duplicate a chat

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Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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j-erlerandClaude Opus 5 committed 2026-09-20 20:29:44 +02:00
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app/MindWork AI Studio/wwwroot/changelog/v26.9.1.md
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- 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.
- Added duplicating a chat, so you can try a second line of thought without losing the first one. You find it in the workspace tree next to renaming and deleting, and in the chat toolbar. AI Studio asks what the copy should be called and suggests the name of the original with "(copy)" behind it, then opens the copy for you to continue in while the original stays as it was. Everything comes along: the conversation, the settings of that chat, and the transcripts of any media you attached. Those transcripts are copied rather than shared, so deleting one of the two chats never empties the other.
- Added a warning when your conversation holds more images than the model accepts, wherever we know that limit. The Visual Briefing assistant stops before anything is uploaded, instead of letting the provider refuse it afterward.
- Added the context window and the image limits to the expert provider settings, next to the abilities you could already state there. Leave a field empty, and AI Studio keeps its own answer, which you see as the placeholder. IT departments can state the same numbers for the providers they roll out.
- Added model plugins, so IT departments can describe the models their organization runs itself.