Clicking the built-in embedding model download could appear to do nothing while
Main waited for the full transfer to finish. The vector model UI now follows
the speech model workflow with an immediate preparing state, verified source
and package metadata, live progress, cancellation, unavailable-source guidance,
and success notifications.
Use a bounded progress-only IPC instead of overlapping full snapshot polling,
and share model package size and progress presentation across embedding,
speech, and OCR model settings. Promote the GoodBuddy Agent lock from the e2e
prerelease identifier to the formal 0.11.2 version for production publication.
Release note: 修复点击内置向量模型下载后界面无响应的问题；现在会立即显示下载来源、进度与取消操作，并将 GoodBuddy Agent 版本标识转为正式的 0.11.2。
GoodBuddy previously required an external OpenAI-compatible endpoint for vector retrieval. It can now install, verify, import, remove, and run the built-in Granite multilingual embedding model in an isolated local inference process, while retaining custom embedding connections and migrating existing settings.
The model connection UI now manages built-in and custom vector connections consistently, reports the actual retrieval path, preserves credentials across failed saves, and renders the vector tab synchronously. Related settings copy, switch styling, metadata typography, and renderer bundle guardrails are aligned with the resulting workflow.
Release note: 新增可管理的内置 Granite 多语言向量模型，支持本地下载、离线导入、连接切换与诊断；同时优化向量设置及相关界面的文案、开关和状态显示。
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