Want to experiment with LLM serving? With the Docker backend, MLOX can provision LiteLLM + Ollama and wire them into your stack. Quickly test prompt flows, local models, or gateways without learning yet another deployment toolchain.
Want to experiment with LLM serving? With the Docker backend, MLOX can provision LiteLLM + Ollama and wire them into your stack. Quickly test prompt flows, local models, or gateways without learning yet another deployment toolchain.
@radhitya
It’s quite useful 🙂
LiteLLM is basically an open-source LLM gateway (plus UI and much more). Ie. it gives you a single, OpenAI-style API to talk to many different models (OpenAI, Anthropic, local via Ollama, etc.).
So instead of rewriting code for every provider, you can:
1. switch models easily
2. route between them
3. mix local + cloud setups
In MLOX I use it as a simple layer to experiment with different models / setups without much friction 🦥