Llm.report is an innovative analytics dashboard designed specifically for monitoring and analyzing the costs associated with using the OpenAI API. This powerful tool provides valuable insights into the usage and expenses of different OpenAI models, helping users optimize their API usage, reduce costs, and make informed decisions for their AI projects.
Key Features of Llm.report include cost breakdown by model, live API logs and analytics, built-in caching, cost forecasting, and an alerting system. These features enable users to analyze and track the cost contribution of each AI model, search and analyze historical prompts and completions in real-time, eliminate duplicate API calls, predict future spending based on historical data, and receive instant Slack and email notifications about API usage and cost changes.
Some common use cases for Llm.report are monitoring and optimizing OpenAI API costs, analyzing historical API usage patterns and trends, forecasting future spend for budget planning, and staying informed about API usage and cost fluctuations through alerts and notifications.
With its user-friendly interface and robust features, Llm.report serves as an indispensable tool for users looking to optimize their OpenAI API usage and make data-driven decisions for their AI projects.