Datadog Integrates with OpenAI ChatGPT to Help Organizations Monitor AI Usage, Costs and Performance
Developers can now gain visibility into ChatGPT usage, latency and token consumption in order to optimize the performance, end user experience and cost of their AI applications
As adoption of OpenAI's newest generative AI model scales and more teams within organizations experiment with ChatGPT, the ability to understand user interactions with GPT-powered applications is vital for identifying opportunities to fine-tune models and enhance user experiences. Monitoring usage of the API and token consumption is also essential in controlling spend and improving application performance. By providing actionable insights into the API's usage, latency and costs, organizations will be able to use AI models more effectively so that they can focus on what matters most—improving day-to-day operations and innovating on products and services.
- Understand Usage: With an easy setup process, 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'sout-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,
Datadogallows users to identify and isolate application performance issues from API performance issues. Furthermore, 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.
Datadogoffers 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: In addition to covering the GPT family of large language models,
Datadog'sintegration enables organizations to track performance, costs and usage for other OpenAI models, including Ada, Babbage, Curie and Davinci.
"ChatGPT has become a powerful tool for software development, content creation and more. As users continue to experiment with AI models, teams across an organization—from engineering and marketing to legal and finance—need the ability to understand how the models are performing and how much time, money and resources users are dedicating to OpenAI models," said Yrieix Garnier, VP of Product at
To get started with
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