GoModel (ENTERPILOT/GoModel) is an open-source AI project on GitHub. Repository summary: AI gateway written in Go. Lightweight unified OpenAI-compatible API for OpenAI, Anthropic, Gemini, Groq, xAI & Ollama. LiteLLM alternative with observability, guardrails, streaming, costs and usage tracking. Its focus includes evaluation and observability. It is suitable for extension, integration, and iterative delivery in real workflows.
License
MIT
Stars
897
Homepage
https://gomodel.enterpilot.io/Features
- Core capability: AI gateway written in Go. Lightweight unified OpenAI-compatible API for OpenAI, Anthropic, Gemini, Groq, xAI & Ollama. LiteLLM alternative with observability, guardrails, streaming, costs and usage tracking.
- Includes evaluation, tracing, or observability capabilities
- Repository: ENTERPILOT/GoModel
- Primary language: Go
- Open-source license: MIT
- GitHub traction: about 888 stars
Use Cases
- Used for AI quality monitoring and regression evaluation
- Build internal AI workflow prototypes with GoModel
- Validate GoModel in production-like engineering scenarios
- Model evaluation and regression testing
- Monitoring AI application quality
- Business research and insight analysis
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/ENTERPILOT/GoModel. Community traction is around 888 stars. License: MIT.
It usually works as an execution component or capability layer, with common deployment fits such as: Used for AI quality monitoring and regression evaluation, Build internal AI workflow prototypes with GoModel, Validate GoModel in production-like engineering scenarios.
