GoModel is an evaluation and observability repository at ENTERPILOT/GoModel; maintainers describe it as: 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 recorded primary language is Go. License metadata lists MIT. GitHub metadata shows about 888 stars. The project homepage is https://gomodel.enterpilot.io/.
License
MIT
Stars
984
Homepage
https://gomodel.enterpilot.io/Features
- Recorded summary for GoModel: 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.
- GoModel uses Go as its recorded primary language, which helps with stack-fit review.
- GoModel acts as a reference point for measuring, tracing, benchmarking, or monitoring behavior.
- GoModel lists MIT license metadata; review obligations before redistribution or hosted use.
- GoModel has about 888 GitHub stars in the local metadata snapshot.
- GoModel links to https://gomodel.enterpilot.io/ for homepage, docs, or demo validation.
Use Cases
- Evaluate GoModel when the need is evaluation and observability and the repo summary matches: AI gateway written in Go. Lightweight unified OpenAI-compatible API for OpenAI, Anthrop...
- Compare the Go implementation in GoModel before choosing a similar internal architecture.
- Use GoModel to compare evaluation or monitoring approaches before production rollout.
- Complete a MIT license review before packaging GoModel into a commercial or hosted workflow.
- Use GoModel's GitHub traction as one input when prioritizing open-source evaluation.
- Check GoModel's homepage alongside the repository when validating setup, demos, or documentation.
FAQ
Start from the 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.), then verify maintenance status, integration boundaries, and whether its evaluation and observability focus matches the intended workflow. Repository: https://github.com/ENTERPILOT/GoModel. Stars: about 888. License: MIT. Language: Go.
GoModel is best treated as a repository-level component or reference implementation for evaluation and observability. Good evaluation scenarios include: Evaluate GoModel when the need is evaluation and observability and the repo summary matches: AI gateway written in Go. Lightweight unified OpenAI-compatible API for OpenAI, Anthrop... Compare the Go implementation in GoModel before choosing a similar internal architecture. Use GoModel to compare evaluation or monitoring approaches before production rollout.
