Developers now have visibility into ChatGPT usage, latency, and token consumption to optimize AI application performance, end-user experience, and costs.
new york, May 10, 2023 /PRNewswire/ — data dogInc. (NASDAQ: DDOG), a cloud application monitoring and security platform, today announced New integration to monitor OpenAI API usage patterns, cost, and performance of various OpenAI models, including GPT-4 and other finished models. Datadog’s observability feature simplifies the process of data collection by the tracing library, making it easier and faster for customers to start monitoring his OpenAI usage.
As adoption of OpenAI’s latest generative AI models grows, and more teams within an organization experiment with ChatGPT, it will be necessary to identify opportunities for fine-tuning the models to improve the user experience by working with GPT-powered applications. The ability to understand user interactions is essential. Monitoring API usage and token consumption is also essential to controlling spending and improving application performance. By providing actionable insights into API usage, latency, and costs, organizations can use AI models more effectively, helping them improve their day-to-day operations and innovate their products and services for what matters most. you will be able to concentrate on
Datadog and OpenAI integration Organizations can:
- Understand usage: A simple setup process allows users to use Datadog’s out-of-the-box dashboards to gain comprehensive insight into API usage across OpenAI, token consumption, and costs split by service, team, and API key. can be obtained immediately. Pre-configured out-of-the-box alerts also help the user stay on top of his OpenAI API rate limits.
- Performance optimization: By tracking API error rates, rate limits, and response times, Datadog helps users identify application performance issues and isolate them from API performance issues. In addition, users can view traces and logs with example prompts and completions to understand key application bottlenecks and user behavior.
- Track your costs: Users can check token allocation and analyze costs associated with OpenAI API calls. Datadog provides insights into token allocation by model, service, and organization to help teams manage expenses more effectively and avoid unexpected charges.
- Covering multiple AI models: In addition to covering the GPT family of large-scale language models, Datadog’s integration will enable organizations to track the performance, cost, and usage of other language models. Open AI Models including Ada, Babbage, Curie and Da Vinci.
“ChatGPT has become a powerful tool for software development, content creation, and more. As users continue to experiment with AI models, teams across the organization, from engineering and marketing to legal and finance, are asking if the models are We need the ability to understand how it works and how it works: how much time, money and resources our users are spending on OpenAI models,” said Yrieix, VP of Product at Datadog. says Garnier. “Datadog’s ChatGPT integration provides users with out-of-the-box dashboards to monitor rate limiting, track internal usage patterns, costs, and API performance, and monitor ChatGPT allocation and usage across the organization. You will have a clearer picture of
To get started with the Datadog for OpenAI integration, visit: https://www.datadoghq.com/solutions/openai. For more information, please visit: https://www.datadoghq.com/blog/monitor-openai-with-datadog.
About Datadog
Datadog is an observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, real user monitoring, and many other functions to provide integrated real-time observability and security across your technology stack. increase. Datadog enables digital transformation and cloud migration, driving collaboration between development, operations, security, and business teams to accelerate application time-to-market, accelerate problem resolution, and protect applications. It is used by organizations of all sizes and across a wide range of industries to and infrastructure, understand user behavior, and track key business metrics.
Forward-Looking Statements
This press release may contain certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or Section 21E of the Securities Act and the Securities Exchange Act of 1934, as amended. Benefit from new products and features. These forward-looking statements reflect our current views regarding our plans, intentions, expectations, strategies and prospects based on the information currently available to us and the assumptions we have made. Actual results may differ materially from those set forth in the forward-looking statements and are subject to various assumptions, uncertainties, risks and factors beyond our control. This includes risks detailed in the “Risk Factors” caption and elsewhere on our securities. and Trade Commission filings and reports, including quarterly reports on Form 10-Q filed with the Securities and Exchange Commission. May 5, 2023, and future filings and reports by us. Except as required by law, we undertake no obligation to update any forward-looking statements contained in this release, whether as a result of new information, future events, changes in expectations or otherwise.
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