Custom Evals Brings Order to the Messy World of LLM Evaluation
You've shipped the agent. The demo wowed the stakeholders. The pipeline runs. But here's the question that keeps senior engineers up at night: is it actually good?
Not "good enough for the demo" good. Actually good. Factually accurate, coherent, relevant, non-hallucinating, and consistent across thousands of runs.
The AI industry has an evaluation problem — and it's bigger than most people admit. You're building with LangGraph agents on Monday, integrating a RAG pipeline with LlamaIndex on Wednesday, and the product team wants a Slack agent built on CrewAI by Friday. Each framework has its own quirks. Each call site produces slightly different output shapes. And you're supposed to evaluate all of them... how, exactly?
That's the precise problem Custom Evals was built to solve.
What Is Custom Evals?
Custom Evals is a lightweight, extensible evaluation framework for LLM outputs with support for 17+ agent frameworksand a multi-layer metric system...
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