​
HTTP Status Codes

The StealthGPT API uses standard HTTP status codes to indicate the success or failure of requests:
​
200 OK
success
The request was successful and the response contains the expected data.
​
400 Bad Request
error
The request was malformed or contained invalid parameters.
​
401 Unauthorized
error
Authentication failed, usually due to an invalid or missing API token.
​
402 Payment Required
error
You don’t have enough credits in your account to perform this action.
​
403 Forbidden
error
The requested operation could not be completed (e.g., result not available).
​
429 Too Many Requests
error
You’ve exceeded the rate limits for the API.
​
500 Internal Server Error
error
An error occurred on the server. These are typically temporary.

​
Error Response Format

All error responses follow this consistent format: 
{
  "message": "Human-readable error message"
}
Some error responses may include additional information: 
{
  "message": "Invalid request",
  "info": [
    {
      "code": "invalid_type",
      "expected": "boolean",
      "received": "string",
      "path": ["rephrase"],
      "message": "Expected boolean, received string"
    }
  ]
}

​
Common Errors and Solutions

​
Authentication Errors

​
Request Errors

​
Rate Limit Errors

​
Network and Server Errors

​
Language-Specific Error Handling Examples

Here are comprehensive error handling examples in different programming languages: 
import requests
from requests.exceptions import RequestException
import time

class StealthGPTError(Exception):
    """Custom exception for StealthGPT API errors"""
    pass

def call_stealthgpt_api(prompt, rephrase, max_retries=3):
    headers = {
        'api-token': 'YOUR_API_TOKEN',
        'Content-Type': 'application/json'
    }
    data = {
        'prompt': prompt,
        'rephrase': rephrase,
        'detector': 'turnitin'
    }

    for attempt in range(max_retries):
        try:
            response = requests.post(
                'https://stealthgpt.ai/api/stealthify',
                headers=headers,
                json=data,
                timeout=10
            )
            
            if response.status_code == 200:
                return response.json()
            
            error_data = response.json()
            error_message = error_data.get('message', 'Unknown error')
                
            if response.status_code == 429:
                retry_after = int(response.headers.get('Retry-After', 5))
                time.sleep(retry_after)
                continue
                
            if response.status_code == 400:
                raise StealthGPTError(f"Invalid request: {error_message}")
                
            if response.status_code == 401:
                raise StealthGPTError("Unauthorized: Invalid API token")
            
            if response.status_code == 402:
                raise StealthGPTError("Not enough credits")
                
            response.raise_for_status()
            
        except requests.exceptions.Timeout:
            if attempt == max_retries - 1:
                raise StealthGPTError("Request timed out after multiple attempts")
            time.sleep(2 ** attempt)  # Exponential backoff
            
        except requests.exceptions.RequestException as e:
            raise StealthGPTError(f"Request failed: {str(e)}")
            
    raise StealthGPTError("Max retries exceeded")

​
Best Practices for Error Handling

  1. Implement Retry Logic: For transient errors (like 429 or 500), implement retry logic with exponential backoff.
  2. Validate Inputs: Validate all parameters before sending requests to avoid 400 errors.
  3. Check Response Status: Always check the HTTP status code before trying to process the response.
  4. Error Logging: Log detailed error information for troubleshooting.
  5. Handle Errors Gracefully: Provide user-friendly error messages in your application rather than exposing raw API errors. 
// Node.js example of comprehensive error handling
async function callStealthGPT(prompt, rephrase) {
  try {
    const response = await axios.post('https://stealthgpt.ai/api/stealthify', {
      prompt,
      rephrase,
      detector: 'turnitin'
    }, {
      headers: {
        'api-token': process.env.API_TOKEN,
        'Content-Type': 'application/json'
      }
    });
    
    return response.data;
  } catch (error) {
    // Handle different error types
    if (error.response) {
      // The request was made and server responded with an error code
      const errorMessage = error.response.data.message || 'Unknown error';
      
      switch (error.response.status) {
        case 400:
          console.error('Invalid request parameters:', error.response.data);
          throw new Error(`Invalid request: ${errorMessage}`);
        case 401:
          console.error('Authentication failed');
          throw new Error('API authentication failed. Please check your API token.');
        case 402:
          console.error('Payment required');
          throw new Error('Not enough credits to process this request.');
        case 403:
          console.error('Forbidden');
          throw new Error(`Operation not allowed: ${errorMessage}`);
        case 429:
          console.error('Rate limit exceeded');
          throw new Error('Too many requests. Please try again later.');
        default:
          console.error(`Error ${error.response.status}:`, error.response.data);
          throw new Error('An error occurred while processing your request.');
      }
    } else if (error.request) {
      // The request was made but no response received
      console.error('No response received:', error.request);
      throw new Error('No response from server. Please check your connection.');
    } else {
      // Something else caused the error
      console.error('Error setting up request:', error.message);
      throw new Error('Failed to send request.');
    }
  }
}