openmeter (openmeterio/openmeter) is an open-source AI project on GitHub. Repository summary: Metering and Billing for AI, API and DevOps. Collect and aggregate millions of usage events in real-time and enable usage-based billing. Its focus includes developer-centric engineering workflows, workflow automation. It is suitable for extension, integration, and iterative delivery in real workflows.
License
Apache-2.0
Stars
2,008
Homepage
https://openmeter.io/Features
- Core capability: Metering and Billing for AI, API and DevOps. Collect and aggregate millions of usage events in real-time and enable usage-based billing.
- Built for code generation, debugging, or engineering integration
- Supports orchestrated automation flows and scheduling
- Repository: openmeterio/openmeter
- Primary language: Go
- Open-source license: Apache-2.0
Use Cases
- Supports AI engineering build-and-iterate workflows for dev teams
- Used for cross-system process automation and operations efficiency
- Build internal AI workflow prototypes with openmeter
- Validate openmeter in production-like engineering scenarios
- Model evaluation and regression testing
- Monitoring AI application quality
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/openmeterio/openmeter. Community traction is around 2,006 stars. License: Apache-2.0.
It usually works as an execution component or capability layer, with common deployment fits such as: Supports AI engineering build-and-iterate workflows for dev teams, Used for cross-system process automation and operations efficiency, Build internal AI workflow prototypes with openmeter.
