Triple Optimization Solution for Precision Response
For the problem of false triggering due to noisy group chat environment, the accuracy can be improved by the following ways:
Base configuration optimization
- Explicitly in config.jsongroup_chat_prefix(Recommended setting is
["@机器人名"]) - set upgroup_name_white_listLimited Response Group
Advanced Semantic Filtering
This is achieved by modifying plugins/group_analyze.py:
- Add keyword blacklists (e.g., ad-sensitive words)
- Configure minimum text length filtering (12+ words recommended)
- Enable Intent Recognition Module (requires Coze platform to configure NLU skills)
context management (computing)
in the Coze platform:
- Setting the dialog timeout (5 minutes recommended)
- opens"strict_context"Mode force must @trigger
- Configure separate knowledge bases for different groups
Test case: a reading group after the application of the program, the invalid response to reduce 82%
This answer comes from the articleCoze on WeChat: Bringing the Coze (button) bot to WeChatThe































