Agentic CLEAR: Automated Multi-Level Evaluation Framework for LLM Agents
Agentic CLEAR is a user-friendly, automatic evaluation framework designed for agentic systems, tackling the complexities of monitoring autonomous agent actions. It generates textual insights across three levels of granularity: system, trace, and node. Functioning above the observability layer, it offers seamless integration with an easy-to-navigate interface. Extensive experiments conducted on four benchmarks and seven agentic environments, alongside tens of thousands of LLM calls, showcase its ability to provide high-quality, data-driven feedback.
Key facts
- Agentic CLEAR is an automatic evaluation framework for LLM agents.
- It provides insights at system, trace, and node levels.
- It operates above the observability layer.
- Features an intuitive UI for accessibility.
- Tested on four benchmarks and seven agentic settings.
- Involved tens of thousands of LLM calls.
- Produces high-quality, data-driven feedback.
- Addresses limitations of current tools that use static error taxonomies.
Entities
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