> ## Documentation Index
> Fetch the complete documentation index at: https://docs.egma.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Types of graders

Egma supports LLM graders and code graders. Choose a check that can use the
evidence available in your conversations.

* **LLM graders** use a language model to judge behavior from conversation
  evidence. The built-in Expected behaviors grader checks the statements in
  a test. Custom graders let you write your own grading instructions.
* **Code graders** apply a defined calculation. The built-in Response latency
  grader compares measured p90 response time with your chosen maximum.

[Built-in graders](/docs/platform/graders/built-in-graders) explains the supplied
checks. [Custom graders](/docs/platform/graders/custom-graders) shows how to write
and verify a rule for your agent.