chanl-eval drops multi-turn agent testing engine
chanl-eval is an open-source testing and evaluation engine specifically designed for multi-turn conversational AI agents. It goes beyond simple prompt testing by simulating full interactions with configurable customer personas, catching regressions and behavioral issues in complex conversational flows.
The industry is moving from single-turn chatbots to autonomous agents, making traditional prompt-response evaluations insufficient for production-grade reliability. Dynamic persona simulation allows developers to stress-test agents against hostile or impatient customers, while comprehensive tool mocking enables verification of business logic without live API dependencies. The engine also includes built-in red-teaming presets for security-critical issues like prompt injection and PII leakage. Finally, exportable transcripts facilitate a continuous improvement loop between testing results and model fine-tuning.
DISCOVERED
9d ago
2026-04-03
PUBLISHED
9d ago
2026-04-02
RELEVANCE
AUTHOR
Delicious_Middle_749