Monitor your OpenAI LLM spend with cost insights from Datadog

Managing costs associated with Language Learning Models (LLMs) has become crucial for organizations using AI applications like OpenAI. These applications often require multiple backend LLM calls leading to increased token consumption and costs. To monitor these expenses, Datadog's Cloud Cost Management (CCM) and LLM Observability provide granular insights into token usage and cost, helping track the total cost of ownership for generative AI services. Datadog offers three OpenAI integrations that provide cost insights: Out-of-the-box metrics via the OpenAI API integration, native Cloud Cost Management integration, and native LLM Observability integration. The latter two are particularly useful as they offer detailed, context-aware OpenAI cost insights and enable monitoring of OpenAI spend at the application level alongside health and performance data. With CCM's granular cost metrics and LLM Observability's ability to investigate root causes of issues, organizations can effectively manage their AI spending and find ways to optimize.