llm-usage-report is an open-source CLI tool that parses logs from LLM APIs (Anthropic, OpenAI, Google) to generate detailed reports on token usage and costs. It supports budget alerts and is designed for developers and teams managing LLM API expenses.
In the LLM eval & observability space, llm-usage-report takes a focused approach. It focuses on tracking and reporting token usage and costs for LLM API calls. It is built as an open-source project for developers and teams using LLM APIs. The project is open source (MIT). llm-usage-report is available on the command line, and it can be self-hosted.
It is developed by Mukunda Katta, and it first shipped in 2026. The project is developed in the open on GitHub with 3 commits in the last 90 days. Key capabilities include LLM API log parsing, token usage reporting, and cost reporting.
Summary written by a language model from the project’s public pages.
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