Implemented role parsing and loading from markdown files, including attributes like name, side, focus, badge, color, and personality.
Created functions to build prompts for analysis, line location, and verdicts based on roles.
Added tests for role management functionalities to ensure correct parsing and loading of roles.
Developed usage tracking for AI assistant interactions, including token usage and rate limits.
Implemented functions to extract and record usage data from various LLM providers.
Added tests for usage tracking functionalities to validate correct accumulation and reporting of usage statistics.
- Implemented role parsing and loading from markdown files, including attributes like name, side, focus, badge, color, and personality.
- Created functions to build prompts for analysis, line location, and verdicts based on roles.
- Added tests for role management functionalities to ensure correct parsing and loading of roles.
- Developed usage tracking for AI assistant interactions, including token usage and rate limits.
- Implemented functions to extract and record usage data from various LLM providers.
- Added tests for usage tracking functionalities to validate correct accumulation and reporting of usage statistics.
- Implemented role parsing and loading from markdown files, including attributes like name, side, focus, badge, color, and personality.
- Created functions to build prompts for analysis, line location, and verdicts based on roles.
- Added tests for role management functionalities to ensure correct parsing and loading of roles.
- Developed usage tracking for AI assistant interactions, including token usage and rate limits.
- Implemented functions to extract and record usage data from various LLM providers.
- Added tests for usage tracking functionalities to validate correct accumulation and reporting of usage statistics.
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Pull request closed