# Errors code

```json
{
    "error": {
        "message": "",
        "type": "",
        "param": "",
        "code": 422
    }
}
```

For errors, Infron returns a JSON response with the following shape:

```typescript
type ErrorResponse = {
  error: {
    code: number;
    message: string;
    type: string;
    param: string;
  };
};
```

The HTTP Response will have the same status code as `error.code`, forming a request error if:

* Your original request is invalid
* Your API key/account is out of credits

Otherwise, the returned HTTP response status will be `200` and any error occurred while the LLM is producing the output will be emitted in the response body or as an SSE data event.

### Error Codes <a href="#error-codes" id="error-codes"></a>

* **400**: Bad Request (invalid or missing params, CORS)
* **401**: Invalid credentials (OAuth session expired, disabled/invalid API key)
* **402**: Your account or API key has insufficient credits. Add more credits and retry the request.
* **403**: Your chosen model requires moderation and your input was flagged
* **408**: Your request timed out
* **429**: You are being rate limited
* **502**: Your chosen model is down or we received an invalid response from it
* **503**: There is no available model provider that meets your routing requirements

### When No Content is Generated <a href="#when-no-content-is-generated" id="when-no-content-is-generated"></a>

Occasionally, the model may not generate any content. This typically occurs when:

* The model is warming up from a cold start
* The system is scaling up to handle more requests

Warm-up times usually range from a few seconds to a few minutes, depending on the model and provider.

If you encounter persistent no-content issues, consider implementing a simple retry mechanism or trying again with a different provider or model that has more recent activity.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://infronai.gitbook.io/docs/llm-apis/api-guides/errors-code.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.