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Documentation Index

Fetch the complete documentation index at: https://lindo.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

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Error Schema

We use standard HTTP response codes for success and failure notifications, and our errors are further classified by type. All error responses follow this format: 
{
  "error": {
    "code": "error_code",
    "message": "A human-readable description of the error."
  }
}

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Error Codes

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validation_error

  • Status: 400
  • Message: We found an error with one or more fields in the request.
  • Suggested action: The message will contain more details about what field and error were found. Check your request body and parameters.

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missing_api_key

  • Status: 401
  • Message: Missing API key in the authorization header.
  • Suggested action: Include the following header in the request: Authorization: Bearer YOUR_API_KEY.

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invalid_api_key

  • Status: 403
  • Message: API key is invalid.
  • Suggested action: Make sure the API key is correct or generate a new API key in your workspace settings.

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insufficient_permissions

  • Status: 403
  • Message: The API key does not have permission to perform this action.
  • Suggested action: Ensure your API key has the required permissions for this endpoint.

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not_found

  • Status: 404
  • Message: The requested resource does not exist.
  • Suggested action: Verify the resource ID or endpoint path is correct.

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method_not_allowed

  • Status: 405
  • Message: Method is not allowed for the requested path.
  • Suggested action: Change your API request to use a valid HTTP method for this endpoint.

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conflict

  • Status: 409
  • Message: The request conflicts with the current state of the resource.
  • Suggested action: Check if the resource has been modified or if there’s a duplicate entry.

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unprocessable_entity

  • Status: 422
  • Message: The request was well-formed but contains invalid data.
  • Suggested action: Review the field values in your request body and ensure they meet the API requirements.

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rate_limit_exceeded

  • Status: 429
  • Message: Too many requests. Please reduce the rate of your requests.
  • Suggested action: Implement a queue mechanism or add delays between requests. Check the Retry-After header for timing guidance.

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internal_server_error

  • Status: 500
  • Message: An unexpected error occurred.
  • Suggested action: Try the request again later. If the error persists, contact support.

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service_unavailable

  • Status: 503
  • Message: The service is temporarily unavailable.
  • Suggested action: Try the request again later. The service may be undergoing maintenance.

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Handling Errors

When integrating with the Lindo AI API, we recommend implementing error handling that:
  1. Logs errors for debugging purposes
  2. Retries on transient failures (5xx errors) with exponential backoff
  3. Respects rate limits by checking response headers
  4. Provides user feedback with meaningful error messages

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Example Error Handling

async function makeApiRequest(endpoint, options) {
  try {
    const response = await fetch(`https://api.lindo.ai${endpoint}`, {
      ...options,
      headers: {
        'Authorization': 'Bearer YOUR_API_KEY',
        'Content-Type': 'application/json',
        ...options.headers
      }
    });

    if (!response.ok) {
      const error = await response.json();

      if (response.status === 429) {
        const retryAfter = response.headers.get('Retry-After');
        console.log(`Rate limited. Retry after ${retryAfter} seconds`);
      }

      throw new Error(error.error?.message || 'API request failed');
    }

    return response.json();
  } catch (error) {
    console.error('API Error:', error);
    throw error;
  }
}