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Providers

Providers

Where inference comes from: local servers and cloud, behind one router.

Supply sideOllama · OVMS · LM Studio · vLLMCloud, keyed
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Windows only for now.

Attach what you already run

Ollama, OVMS, LM Studio, vLLM: any OpenAI-compatible server on this machine attaches live. Its models are listed in real time; nothing is copied, converted, or re-downloaded.

Cloud when you choose it

Register keyed providers (Groq, OpenRouter, OpenAI, NVIDIA, Z.ai) and pick exactly which of their models to expose. Cloud is an explicit, visible choice, never a silent default.

Measured, not claimed

Pin an attached model and Studio probes it on your hardware: real tokens-per-second next to the name, so comparisons are grounded in your machine, not a leaderboard.

Behind the same router

Every provider's models join Active models alongside local ones: they take aliases, show up in agent model pickers, and get the same Try button in the Playground.

How it works

  1. 1

    Attach or register

    Attach local server points Studio at an OpenAI-compatible endpoint on this machine (localhost:11434 for Ollama). Register a provider adds a keyed cloud API instead.

  2. 2

    Models appear live

    The router binds the provider and lists its models in real time. Pull a new model in Ollama and it's in Studio on the next refresh, tagged with its source.

  3. 3

    Pin and measure

    Pin a model to keep it front and center; Studio runs a short native-timed probe and records the real tok/s it gets on your hardware.

  4. 4

    Route by name

    Give any provider model an alias. Apps call qwen through the one router endpoint, and can swap between local, attached, and cloud without a config change.

Information

Category
Models · Supply
Local servers
Ollama · OVMS · LM Studio · vLLM · custom
Cloud providers
Groq · OpenRouter · OpenAI · NVIDIA · Z.ai
Works in
External · Built-in · Remote
All features