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Frequently Asked Questions

As an LLM observability platform, Helicone collects and processes billions of ChatGPT and OpenAI API interactions. Our metrics cover all OpenAI models including GPT-4 Turbo, GPT-4, GPT-3.5 Turbo, DALL-E 3, and more. The statistics you see are calculated from millions of real, anonymized production requests, making them highly accurate for monitoring OpenAI's service status and performance.

Unlike traditional status pages, our ChatGPT and OpenAI status metrics are derived from actual production traffic. We analyze millions of GPT-4, GPT-3.5, and DALL-E requests in real-time to calculate error rates, latency distributions, and availability metrics, providing a more accurate picture of OpenAI's system status and performance.

Helicone offers a Gateway Fallbacks feature—one of our many tools to enhance your LLM applications—which automatically routes requests to backup providers during outages. This ensures your application stays running with zero disruption to your users.

Beyond status monitoring, Helicone provides comprehensive tools for:

  • Real-time monitoring of your LLM requests and responses
  • Advanced request tracing and debugging capabilities
  • Comprehensive cost, usage, and performance analytics
  • Automated prompt evaluation using LLM-as-a-judge
  • Interactive prompt engineering and testing suite
  • Deep insights into user behavior and usage patterns

These features help you build more reliable, cost-effective, and performant LLM applications. Check us out at helicone.ai