> ## Documentation Index
> Fetch the complete documentation index at: https://arizeai-433a7140.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Pre-Built Metrics

> Ready-to-use server-side evaluators for common evaluation tasks.

Server-side evaluators run entirely in the Phoenix UI — no local code or API key setup required. Add them to any dataset from your project's Evaluators tab and Phoenix runs them automatically on every new experiment run.

There are two types of pre-built server-side evaluators:

* **Pre-built code evaluators** are deterministic. They apply a rule or algorithm to your data and return a result without calling any model. For custom logic you author yourself, see [Code Evaluators](/docs/phoenix/evaluation/server-evals/code-evaluators).
* **LLM evaluators** use a judge model via a managed prompt template. Phoenix handles model configuration and API access — you only need to configure the input column mappings.

***

## Pre-built Code Evaluators

<CardGroup cols={2}>
  <Card title="Contains" href="/docs/phoenix/evaluation/server-evals/pre-built-metrics/contains">
    Check whether a text contains one or more specified words.
  </Card>

  <Card title="Exact Match" href="/docs/phoenix/evaluation/server-evals/pre-built-metrics/exact-match">
    Check whether two strings are identical.
  </Card>

  <Card title="Regex Match" href="/docs/phoenix/evaluation/server-evals/pre-built-metrics/regex">
    Check whether a text matches a regular expression pattern.
  </Card>

  <Card title="Levenshtein Distance" href="/docs/phoenix/evaluation/server-evals/pre-built-metrics/levenshtein-distance">
    Measure the edit distance between two strings.
  </Card>

  <Card title="JSON Distance" href="/docs/phoenix/evaluation/server-evals/pre-built-metrics/json-distance">
    Measure the number of structural differences between two JSON values.
  </Card>
</CardGroup>

***

## LLM Evaluators

<CardGroup cols={2}>
  <Card title="Correctness" href="/docs/phoenix/evaluation/server-evals/pre-built-metrics/correctness">
    Evaluate whether LLM responses are factually accurate and complete.
  </Card>

  <Card title="Tool Selection" href="/docs/phoenix/evaluation/server-evals/pre-built-metrics/tool-selection">
    Evaluate whether the LLM selected the correct tool for a given task.
  </Card>

  <Card title="Tool Invocation" href="/docs/phoenix/evaluation/server-evals/pre-built-metrics/tool-invocation">
    Evaluate whether tool calls have correct arguments and formatting.
  </Card>
</CardGroup>