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Updated changelog
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- Added the context window to what AI Studio knows about a model, wherever its metadata states one.
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- 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.
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- 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.
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- Added the exact token count to that number, wherever your provider reports one. What the conversation has cost so far is then no longer estimated but taken from the provider which charged for it, and only the message you are still writing is estimated — shown as a number of its own, so you can tell the two apart. Editing or regenerating an answer drops the reported number along with it, and so does switching to another model, because another model counts the same conversation differently. Providers which report nothing keep the estimate exactly as before, and so do Anthropic and OpenAI's Responses API for the time being.
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- 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.
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- 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.
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- Added model plugins, so IT departments can describe the models their organization runs itself.
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