Guides
Learn advanced techniques and best practices for working with the Arvae AI API. These guides will help you get the most out of the API and build robust applications.
Streaming Responses
Learn how to implement streaming for real-time text generation in your applications. Streaming provides a more interactive user experience by showing responses as they're generated.
Read Streaming Guide →Error Handling
Learn how to implement robust error handling in your applications. This guide covers common error types, how to parse error responses, and strategies for graceful recovery.
Read Error Handling Guide →Testing with Postman
Learn how to test the Arvae API using Postman. This guide covers setting up Postman collections, headers, and testing both v1 and v2 endpoints.
Read Postman Guide →Best Practices
Optimizing Token Usage
Keep your prompts concise and focused to minimize token usage. Remove unnecessary context and instructions when they're not needed for the specific task at hand.
Rate Limiting and Retries
Implement proper rate limiting in your applications and use exponential backoff for retries when you encounter rate limit errors. This helps ensure your application remains responsive even during high traffic periods.
Choosing the Right Model
Select the appropriate model for your task. More powerful models like GPT-4o or Claude 3 Opus provide better results for complex tasks, while lighter models like GPT-3.5 Turbo or Claude 3 Haiku are more cost-effective for simpler tasks.
Security Considerations
Never expose your API keys in client-side code. Always use a server-side component to make API calls, and implement proper authentication and authorization in your applications.
Need Help?
If you need additional help or have questions about using the Arvae AI API, check out these resources:
- Review the API Reference for detailed documentation
- Check the Playground to experiment with the API in real-time
- See your current usage and billing information in the Dashboard