- Fix silent None return in analyze_image_with_vision exception handler
- Add None/empty guards after vision analysis in bot.py (image, video, GIF, Tenor)
- Route all image/video/GIF responses through Cheshire Cat pipeline (was
calling query_llama directly), enabling episodic memory storage for media
interactions and correct Last Prompt display in Web UI
- Add media_type parameter to cat_adapter.query() and forward as
discord_media_type in WebSocket payload
- Update discord_bridge plugin to read media_type from payload and inject
MEDIA NOTE into system prefix in before_agent_starts hook
- Add _extract_vision_question() helper to strip Discord mentions and bot-name
triggers from user message; pass cleaned question to vision model so specific
questions (e.g. 'what is the person wearing?') go directly to the vision model
instead of the generic 'Describe this image in detail.' fallback
- Pass user_prompt to all analyze_image_with_qwen / analyze_video_with_vision
call sites in bot.py (image, video, GIF, Tenor, embed paths)
- Fix autonomous reaction loops skipping messages that @mention the bot or have
media attachments in DMs, preventing duplicate vision model calls for images
already being processed by the main message handler
- Increase vision max_tokens: images 300->800, video/GIF 400->1000 (no VRAM
impact; KV cache is pre-allocated at model load time)
koko210Serve
d5b9964ce7