GoModel
AI gateway / AI control plane / AI proxy written in Go. Unified OpenAI-compatible and Anthropic-compatible API for OpenAI, Anthropic, Gemini, Groq, xAI, Ollama, vLLM and more. A LiteLLM alternative with observability, guardrails, streaming, cost tracking, intelligent routing, sticky sessions, failover, real-time logs and usage tracking. Prod ready.
Not yet testedsource: GitHubhomepageGoMITcommit ce1d38659afb
Go, MIT licensed. The project labels itself: ai, ai gateway, ai proxy, anthropic, go, golang, groq and litellm alternative.
GoModel has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
aiai-gatewayai-proxyanthropicgogolanggroqlitellm-alternativellmllm-gatewayobservabilityollamaopenaiopenai-compatibleopenai-compatible-apiopenai-compatible-proxy-serverproxy
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Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/gomodel)Questions
- Does GoModel run?
- GoModel has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test GoModel?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for GoModel?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.