Manejo de errores

{
  "error": {
    "message": "Human-readable error description",
    "type": "error_type",
    "code": "error_code",
    "param": "parameter_name",
    "did_you_mean": "suggested_model",
    "suggestions": [{"id": "model-id"}],
    "hint": "Next step guidance",
    "retryable": true,
    "retry_after": 30
  }
}

from openai import OpenAI, AuthenticationError

try:
    response = client.chat.completions.create(...)
except AuthenticationError as e:
    print(f"Authentication failed: {e.message}")

from openai import OpenAI, APIStatusError

try:
    response = client.chat.completions.create(...)
except APIStatusError as e:
    if e.status_code == 402:
        print("Please top up your account balance")

{
  "error": {
    "message": "You don't have permission to access this model",
    "type": "access_denied",
    "code": "model_not_allowed"
  }
}

{
  "error": {
    "message": "Model not found: please check the model name",
    "type": "invalid_request_error",
    "param": "model",
    "code": "model_not_found",
    "did_you_mean": "gpt-5.4",
    "suggestions": [{"id": "gpt-5.4"}, {"id": "gpt-5-mini"}],
    "hint": "Did you mean 'gpt-5.4'? Use GET https://api.lemondata.cc/v1/models to list all available models."
  }
}

{
  "error": {
    "message": "Rate limit: 60 rpm exceeded",
    "type": "rate_limit_exceeded",
    "code": "rate_limit_exceeded",
    "retryable": true,
    "retry_after": 8,
    "hint": "Rate limited. Retry after 8s. Current limit: 60/min for user role."
  }
}

Retry-After: 8

{
  "error": {
    "message": "Input size exceeds maximum allowed",
    "type": "invalid_request_error",
    "code": "payload_too_large"
  }
}

{
  "error": {
    "message": "Model claude-opus-4-6 temporarily unavailable",
    "code": "all_channels_failed",
    "retryable": true,
    "retry_after": 30,
    "alternatives": [
      {"id": "claude-sonnet-4-6", "status": "available", "tags": []},
      {"id": "gpt-5-mini", "status": "available", "tags": []}
    ],
    "hint": "Retry in 30s or switch to an available model."
  }
}

from openai import OpenAI, APIError, RateLimitError, APIConnectionError

client = OpenAI(
    api_key="sk-your-api-key",
    base_url="https://api.lemondata.cc/v1"
)

def chat_with_retry(messages, max_retries=3):
    for attempt in range(max_retries):
        try:
            return client.chat.completions.create(
                model="gpt-4o",
                messages=messages
            )
        except RateLimitError as e:
            if attempt < max_retries - 1:
                import time
                time.sleep(2 ** attempt)  # Exponential backoff
                continue
            raise
        except APIConnectionError as e:
            print(f"Connection error: {e}")
            raise
        except APIError as e:
            print(f"API error: {e.status_code} - {e.message}")
            raise

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'sk-your-api-key',
  baseURL: 'https://api.lemondata.cc/v1'
});

async function chatWithRetry(messages, maxRetries = 3) {
  for (let attempt = 0; attempt < maxRetries; attempt++) {
    try {
      return await client.chat.completions.create({
        model: 'gpt-4o',
        messages
      });
    } catch (error) {
      if (error instanceof OpenAI.RateLimitError) {
        if (attempt < maxRetries - 1) {
          await new Promise(r => setTimeout(r, 2 ** attempt * 1000));
          continue;
        }
      }
      throw error;
    }
  }
}