Monitor and Optimize Your OpenAI Usage with This Open Source Analytics Platform

Are you looking for a way to better understand and control your OpenAI API usage? Then look no further! llm.report is an open-source logging and analytics platform designed to help you log your ChatGPT API requests, analyze costs, and improve your prompts. Keep reading to discover how this platform can revolutionize your AI development process!

Why Use llm.report for OpenAI Analytics?

Using large language models (LLMs) effectively requires careful monitoring and optimization. Manually tracking API usage and costs can be time-consuming and inaccurate. llm.report automates this process, offering detailed insights and analytics to streamline your workflow.

Key Benefits of llm.report: An Open-Source OpenAI Logging Platform

Here's what llm.report brings to the table:

• Cost Analysis: Track your OpenAI API costs in real-time and identify areas where you can optimize spending.
• Token Usage: Analyze token consumption to understand how different prompts and models impact your expenses.
• Prompt Improvement: Use logs and analytics to refine your prompts for better performance and efficiency.

Features You'll Love

llm.report comes packed with features designed to make your life easier:

• OpenAI API Analytics: Get a no-code solution for analyzing costs and token usage related to OpenAI APIs.
• Detailed Logs: Log every OpenAI API request and response for in-depth analysis to improve your prompts.
• User Analytics: Calculate the cost per user of your AI applications to gain a deeper understanding of resource allocation.

Setting Up Your Self-Hosted llm.report Instance

Ready to get started? Here's how to install it on your own server:

1. Clone the repository: git clone https://github.com/dillionverma/llm.report.git
2. Navigate to the directory: cd llm.report
3. Install dependencies: yarn
4. Configure environment variables: cp .env.example .env
   • Generate a NEXTAUTH_SECRET using openssl rand -base64 32 and add it to your .env file.
5. Run the quickstart script:

yarn dx

This will start a local Postgres instance. Open http://localhost:3000 in your browser to access the open source OpenAI logging platform.

Take Control of Your OpenAI Costs Today

llm.report provides the insight you need to optimize your large language model usage with OpenAI. See exactly where your budget is going and how to fine-tune your prompts for maximum efficiency. While active development has ceased, the open-source nature of llm.report means you can still leverage its capabilities and even contribute to community-led improvements. Gain complete visibility into your OpenAI API analytics and start saving money today.