Implement AI-powered Reply Drafter#2257
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- Add MediaPipe GenAI dependency for on-device LLM inference - Create LlmManager for Gemma 3 vision-modality inference - Create ReplyDrafterManager to coordinate screenshot-to-reply flow - Implement ReplyDrafterHUD for displaying and inserting suggestions - Add Reply Drafter action to the Main Menu 🤖 Auto-generated Co-authored-by: Cursor <cursoragent@cursor.com>
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Summary
This PR implements the AI-powered Reply Drafter feature, allowing users to generate context-aware reply suggestions based on the current screen content. It leverages the Gemma 3 model via MediaPipe GenAI tasks to provide high-quality, on-device text generation.
Key changes:
ReplyDrafterManagerto orchestrate screenshot capture, text extraction, and AI suggestion generation.ReplyDrafterHUD, a Compose-based overlay for displaying and selecting AI suggestions.Test plan
/sdcard/Download/gemma-3n-E2B-it-int4.task.