Log agent interactions, reasoning traces, token usage, and events via bazinga_db.py.
npx skills add https://github.com/mehdic/ARTK --skill bazinga-db-agents
Please help me install this Agent Skill. Skill: bazinga-db-agents Source: https://github.com/mehdic/ARTK/tree/main/.claude/skills/bazinga-db-agents Command: npx skills add https://github.com/mehdic/ARTK --skill bazinga-db-agents
This skill provides a centralized, auditable store for agent interactions, reasoning traces, token usage, and events, enabling easier debugging, compliance, and performance tuning.
To begin, invoke the bazinga-db-agents skill to log a sample interaction with session_id "sess_001", agent_type "developer", and a message "Initialize logging".
High-intent search queries and answers about installing and using this skill.
To track token usage per agent session, the skill performs token accounting operations that record consumption metrics, enabling performance tuning and cost monitoring across development and production workflows.
Yes, you can save and query notable events such as verdicts and issues using the skill's event management features, supporting governance and post-mortem analysis across your AI orchestration workflows.
Yes, the logging approach works for long-running chatbot sessions in production by providing an immutable log of all interactions and decisions, meeting regulatory requirements and QA standards.
You persist agent reasoning traces by saving internal reasoning trails through the centralized store, enabling easier debugging, compliance verification, and performance tuning across your AI agents.
The best way to maintain an audit trail for AI orchestration is using a centralized store that captures interaction logs, reasoning persistence, token accounting, and event records across development, testing, and production workflows.
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