cocapn-explain is an open-source CLI tool that generates explainability traces for agent decisions, including decision trees and human-readable summaries. It is designed for AI researchers and developers who need to analyze and interpret agent behavior.
cocapn-explain is a LLM eval & observability product. It helps users understand and analyze the decision-making process of AI agents through explainability traces. It is built as an open-source project for AI researchers. cocapn-explain is open source under the MIT license. cocapn-explain is available on the web and the command line.
cocapn-explain first shipped in 2026. PulseGate's similarity index finds few close equivalents — cocapn-explain occupies a relatively distinct niche. Key capabilities include explainability traces, decision tree visualization, and human-readable summaries.
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