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

# Suggest Similar • Rust AI Agent SDK

> suggest_similar: Find the most similar string from candidates using Levenshtein distance. This function is ONLY called on error paths, never on happy paths.

# suggest\_similar

<div className="flex items-center gap-2">
  <Badge color="teal">Function</Badge>
</div>

> This function is defined in the [**parse\_utils**](../modules/parse_utils) module.

Find the most similar string from candidates using Levenshtein distance. This function is ONLY called on error paths, never on happy paths.

## Signature

```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
def suggest_similar(value: &str, candidates: &'a [&str], max_distance: usize) -> Option<&'a str>
```

## Parameters

<ParamField query="value" type="&str" required={true}>
  No description available.
</ParamField>

<ParamField query="candidates" type="&'a " required={true}>
  No description available.
</ParamField>

<ParamField query="max_distance" type="usize" required={true}>
  No description available.
</ParamField>

### Returns

<ResponseField name="Returns" type="Option<&'a str>">
  The result of the operation.
</ResponseField>

## Uses

* `to_lowercase`
* `levenshtein_distance`

## Source

<Card title="View on GitHub" icon="github" href="https://github.com/MervinPraison/PraisonAI/blob/main/src/praisonai-rust/praisonai/src/parity/parse_utils.rs#L156">
  `praisonai/src/parity/parse_utils.rs` at line 156
</Card>