chore: bump version to 3.2.8

[EterUltimate]

Release bump after merging #195.

Changes:

• Bump plugin version to 3.2.8 in metadata, package init, and README files.

Included fixes from #195:

• Fix [Bug] 筛选模型异常高频调用 #192 high-frequency model calls when realtime learning/filtering are disabled.
• Add explicit realtime expression learning switch and per-group cooldown.
• Disable LLM hook injection by default.
• Add optional WebUI password auth, default off.
• Remove hardcoded default WebUI password; require explicit initial password via setting or ASTRBOT_WEBUI_INITIAL_PASSWORD.

Validation already completed before this release bump:

• Main repo targeted tests: 144 passed.
• Ruff check passed.
• Real AstrBot plugin dir runnable subset: 107 passed.

Summary by Sourcery

Documentation:

• Update README badges to display plugin version 3.2.8.

[sourcery-ai]

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

Bumps the plugin version from 3.2.7 to 3.2.8 across public docs, package init, and plugin metadata to publish a new release that includes previously validated fixes from PR #195.

File-Level Changes

Change	Details	Files
Update documented and runtime plugin version to 3.2.8 for the new release.	Change README version badge from 3.2.7 to 3.2.8 in the main README Change README version badge from 3.2.7 to 3.2.8 in the English README Update version string constant from 3.2.7 to 3.2.8 in the package initializer Update plugin metadata version field from 3.2.7 to 3.2.8 to align with the release	README.md README_EN.md __init__.py metadata.yaml

Assessment against linked issues

Issue	Objective	Addressed	Explanation
#192	Fix the bug where the screening model (筛选模型) is called at an abnormally high frequency (e.g., ~98% rate, >550 calls for 60 messages) when '实时学习' and '实时LLM筛选' are disabled and the trigger thresholds are at their default values, so that calls respect the configured '表达方式学习触发消息数' and '话题检测触发消息数'.	❌	This PR only bumps the plugin version from 3.2.7 to 3.2.8 in README, init.py, and metadata.yaml. It contains no code or configuration changes related to screening model call logic, triggers, or realtime learning/filtering. The actual fix is stated to be in PR #195, not in this version-bump PR.
#192	Reduce or eliminate unnecessary high-frequency人格/personality updates (e.g., once per minute) when realtime learning/filtering are disabled and the bot is only passively listening in group chats.	❌	No logic affecting personality update scheduling or frequency is modified in this PR; it strictly updates version numbers. Therefore it does not change how often人格/personality updates occur. Any such fixes are implied to be in PR #195, not here.

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