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Abhinav Raut
976c45df3e
Reasoning models like gpt-5 reject max_tokens and non-default temperature. The client now reads the structured 400, renames max_tokens to max_completion_tokens or drops the bad tuning param, and retries. This removes the old rule that only sent max_completion_tokens when reasoning effort was set. Provider form gets a "Test connection" button that makes one live call with the form values and shows the provider's real error. Embedding test also checks the returned vector length against the Dimensions field. Add an Anthropic preset (their OpenAI-compatible endpoint) and stop pre-filling temperature since blank is safe on every model. Fix the shared Button loader so the spinner is visible on non-filled variants, and polish the copilot panel: bot avatars on messages, dot loader while thinking, cleaner input box, and tab slide-in animation.
Libredesk frontend
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