GoModel

I wish all the best to LiteLLM team with handling it again. I can imagine how challenging are situations like this one. However, if anyone is looking for 20x faster and less "targeted" LiteLLM alternative - I'm work on one in Go. That's why GoModel it's called. https://github.com/ENTERPILOT/GoModel/

I use GoModel and its amazing. My favorite features are virtual model, the support for arbitrary request labels, and the nice dashboads / ui. Creator has more sophisticated report generation on the near term roadmap. He's super responsive to feedback and ships fast. (except for his recent trip to the US west coast to meet founders and investors, he's EU based) You can use and control all.your subscriptions or aoikeys through a gateway like this, so you don't get pwned like what just happened with OpenCode (or an OpenRouter like vendor). GoModel has some ambitions like this, but is open source so you can run it on you own infra, with plans for self hosted enterprise as well (there are a few features already like SSO). We are rolling out the free version at work right now. I run GoModel at home and have hyper detailed history of every agent

> Recently I switched to the Mistral hosted GLM-5.3 > [...] I also completely maxed out two subscriptions [...] TIL that Mistral provides hosted GLM-5.3 and that it has a subscription model as well. > Not being able to stack subs is my biggest gripe with Mistral. If you were to use a gateway like GoModel[1] then you could use Virtual Models[2] to load balance across the subscriptions. For that to work, though, you would have to register the same provider as many times as subscriptions you have. It can all be defined in code, so you'd only have to do this once. [1] https://github.com/ENTERPILOT/GoModel [2] https://gomodel.enterpilot.io/docs/features/virtual-models#l... EDIT: formatting

Congrats on the launching of your product. I will be taking it for a spin to compare it with these other products that seem to be competing directly with what you have to offer: - https://github.com/ENTERPILOT/GoModel - https://github.com/maximhq/bifrost - https://github.com/BerriAI/litellm Would you care to share what makes experiential different?

Two questions. How do you handle the competition like https://github.com/ENTERPILOT/GOModel and Bifrost? They already moved to more performant languages like Go. What is the moat of litellm currently and why such a radical move?

Hi, I’m Jakub, a solo founder based in Warsaw. I’ve been building GoModel since December with a couple of contributors. It's an open-source AI gateway that sits between your app and model providers like OpenAI, Anthropic or others. I built it for my startup to solve a few problems: - track AI usage and cost per client or team - switch models without changing app code - debug request flows more easily - reduce AI spendings with exact and semantic caching How is it different? - ~17MB docker image - LiteLLM's image is more than 44x bigger ("docker.litellm.ai/berriai/litellm:latest" ~ 746 MB on amd64) - request workflow is visible and easy to inspect - config is environment-variable-first by default I'm posting now partly because of the recent LiteLLM supply-chain attack. Their team handled it impressively well, but so

Hey Nathan, I’m also working on the best AI gateway written in Golang :) https://github.com/ENTERPILOT/GOModel/ It’s open-source and progressing really fast! I noticed that our project has a couple more GitHub stars now! :) If you’re interested in collaborating on our project (or anything else), don’t hesitate to reach out — you can find our GoModel Discord link on GitHub. Regarding ongoingai/gateway, I could suggest adding more AI model providers.