Datadog has announced its new integration, which monitors OpenAI API usage patterns, costs, and performance.
What is Datadog?
Datadog is a monitoring and security platform that enables cloud application monitoring and management.
Datadog's Integration with OpenAI
Datadog has integrated with OpenAI to enable organizations to understand user interactions with GPT-powered applications. With this integration, developers can gain visibility into ChatGPT usage, latency, and token consumption—the ability to track performance, costs, and usage for other OpenAI models like Ada, Babbage, Curie, and Davinci. By providing actionable insights into API usage, latency, and costs, organizations will be able to use AI models more effectively so that they can focus on improving day-to-day operations and innovating on products and services.
Benefits of Datadog's Integration with OpenAI
- Understand Usage: Users can quickly realize comprehensive insights into overall OpenAI usage of APIs, token consumption, and costs split by service, teams, and API keys with Datadog's out-of-the-box dashboards. Preconfigured out-of-the-box alerts also help users stay on top of OpenAI API rate limits.
- Optimize Performance: By tracking API error rates, rate limits, and response times, Datadog allows users to isolate application performance issues from API performance issues. Additionally, users can view their traces and logs containing prompt and completion examples to understand key application bottlenecks and user behaviors.
- Track Costs: Users can review token allocation and analyze the associated costs of OpenAI API calls. Datadog offers insights into token allocation by model, service, and organization to help teams manage their expenses more effectively and avoid unexpected bills.
- Cover Multiple AI Models: Datadog's integration enables organizations to track performance, costs, and usage for OpenAI's GPT family of large language models, as well as Ada, Babbage, Curie, and Davinci.
Conclusion
Datadog's integration with OpenAI is a welcome addition for developers who are experimenting with AI models. This integration provides out-of-the-box dashboards that users can leverage to monitor for rate limits and track internal usage patterns, costs, and API performance, giving organizations a clear understanding of ChatGPT allocation and consumption throughout the business.
