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

# POST /v1/fix

> Stream an AI-generated fix for a security finding.

## Endpoint

```
POST /v1/fix
```

Returns a streaming `text/plain` response containing an AI-generated fix.

## Request

Same body structure as `/v1/explain`:

```json theme={null}
{
  "finding": { ... },
  "api_key": "sk-ant-optional-override"
}
```

See [POST /v1/explain](/docs/api-reference/explain) for the full `FindingSchema`.

## Response

Streaming `text/plain` — a structured fix suggestion including code diffs, migration steps, and context.

## Examples

<CodeGroup>
  ```python Python theme={null}
  import httpx

  with httpx.stream(
      "POST",
      "https://api.zenveil.dev/v1/fix",
      headers={"X-API-Key": "zvk_live_your_key"},
      json={"finding": finding},
  ) as response:
      for chunk in response.iter_text():
          print(chunk, end="", flush=True)
  ```

  ```javascript JavaScript theme={null}
  const response = await fetch('https://api.zenveil.dev/v1/fix', {
    method: 'POST',
    headers: {
      'X-API-Key': 'zvk_live_your_key',
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({ finding }),
  });

  const reader = response.body.getReader();
  const decoder = new TextDecoder();
  while (true) {
    const { done, value } = await reader.read();
    if (done) break;
    process.stdout.write(decoder.decode(value));
  }
  ```
</CodeGroup>