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

# Online Evaluations

> How to configure online evaluations to monitor your application.

Online evaluations allow you to define domain-specific metrics that can be computed to evaluate your logs asynchronously.

<Note>Use encourage using `Sampling` to prevent costs associated with model-graded evaluations at production scale</Note>

### LLM Evaluators

* **What**: LLM functions scoring semantic qualities.
* **Why**: Measure tone, creativity, persuasiveness—things usage metrics miss.
* **How**: [Create LLM Evaluators](/evaluators/llm)

### Python Evaluators

* **What**: Code-defined metrics for precise or complex measurements.
* **Why**: Compute linguistic metrics, domain-specific scores, etc.
* **How**: [Create Python Evaluators](/evaluators/python)

<CardGroup>
  <Card title="LLM Evaluators" icon="rectangle-terminal" href="/evaluators/llm">
    Measure the immeasurable with LLM scorers.
  </Card>

  <Card title="Python Evaluators" icon="rectangle-terminal" href="/evaluators/python">
    Ultimate flexibility with custom Python scorers.
  </Card>
</CardGroup>