BenchLLM is a focused tool for evaluating the quality of LLM models and the applications built on top of them. It helps developers and ML teams understand how well their AI performs in real scenarios without relying on scattered scripts or heavy manual setup.
Run LLM evaluations from code
BenchLLM lets you trigger checks directly in your codebase, build test sets, compare model outputs, and generate structured quality reports.
- Create and manage test sets for repeatable evaluation
- Compare responses across models or versions
- Use automated checks and human-in-the-loop (interactive) review
Flexible testing strategies
The platform supports multiple evaluation approaches so you can match your workflow and risk level.
- Automated evaluation for fast regression checks
- Interactive evaluation when human judgment is required
- Fully custom evaluation with your own rules and criteria
Fit into your stack
BenchLLM is designed to plug into existing code, pipelines, and CI/CD so LLM testing can feel as routine as unit tests.
- Use built-in components such as SemanticEvaluator, Test, and Tester
- Integrate with LangChain and other frameworks
