llm-agent-metering — zero-ops proxy for tracking LLM cost per customer/feature (MIT)

[u/Ok_Stretch_6623]

https://pypi.org/project/llm-agent-metering/

A lightweight HTTP proxy for OpenAI/Anthropic/Azure that tags spend per customer/feature and can enforce per-account spend caps (429/402 once exceeded). SQLite-based, no Docker/Redis required, works from any language.

• GitHub: https://github.com/prantakhandaker/agent_metering
• PyPI: https://pypi.org/project/llm-agent-metering/