Explainability traces for agent decisions.
When an agent makes a decision, you should be able to trace why. Cocapn-explain provides structured decision traces that are human-readable and machine-queryable.
- Trace Format β Standardized format for decision reasoning chains
- Decision Trees β Visualize the branching logic of agent decisions
- Oversight β Flag decisions that diverge from expected patterns
- Human-Readable β Output traces as markdown or HTML reports
pip install cocapn-explainProvides explainability for fleet agent decisions, required for safety-critical operations.
MIT