Llm.report is an open-source logging and analytics platform specifically designed for users of OpenAI’s API, including ChatGPT. Here’s a detailed overview of what the product does and its key features:
Introduction
Llm.report is a comprehensive tool that helps users log, analyze, and optimize their interactions with OpenAI’s API. It is designed to provide insights into API usage, costs, and performance, making it an essential tool for developers, businesses, and anyone relying on large language models.Key Features
OpenAI API Analytics
- Llm.report offers a no-code solution to analyze your OpenAI API costs and token usage. This feature helps users understand their expenditure and optimize their API calls for better cost efficiency.
Logs
- The platform allows you to log your OpenAI API requests and responses. This logging capability is crucial for analyzing and improving your prompts, ensuring that you get the most out of your interactions with the API.
User Analytics
- Llm.report can calculate the cost per user for your AI application. This feature is particularly useful for businesses that need to manage and optimize the cost of providing AI services to their users.
Functionality
- Self-Hosted Installation: Users can install and run llm.report on their own servers. The installation process involves cloning the repository, installing dependencies, setting up environment variables, and using Docker and Docker Compose to start a local Postgres instance.
- Cloud Installation: While the primary documentation focuses on self-hosted installation, the platform is flexible enough to be adapted for cloud environments, though specific cloud installation steps are not detailed in the main documentation.
- Tech Stack: Llm.report is built using a robust tech stack that includes Next.js, TypeScript, Tailwind CSS, Shadcn UI components, Magic UI for marketing, Postgres as the database, NextAuth.js for authentication, and Stripe for payments. This stack ensures a scalable, secure, and user-friendly application.
Additional Benefits
- Improving Prompts: By analyzing the logs and responses, users can refine their prompts to get better results from the OpenAI API.
- Cost Management: The analytics features help in managing and reducing costs associated with API usage.
- User Insights: The platform provides valuable insights into user behavior and API usage patterns, which can be used to enhance the overall user experience.
While llm.report is no longer actively maintained, it remains a valuable resource for those looking to log and analyze their OpenAI API interactions. The open-source nature of the project allows for community contributions and further development if there is interest.