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RUNLOCALAI · v38
← Home·/apps·SDK / proxy

Ollama Python SDK

Fully offline

Official Python SDK for Ollama. Async, streaming, typed — the right primitive for scripts.

Editorial verdict: “Foundational primitive for Python scripts against Ollama. Official, maintained, typed.”

SDK / proxy
Free
MIT
★ 4.5 / 5
GitHub ★ 5,500
↗ GitHub↗ Docs

Compatibility at a glance

Which runtime + OS combos this app works against. Source of truth for "will it run on my setup?"

§ Runtimes supported
ollama
§ OS / platform
linuxmacoswindows

What it is

For solo Ollama users writing Python scripts or small services, this is the SDK to reach for. It bridges directly to a local Ollama server with async, sync, and streaming support, plus typed responses that save you from guessing at dict keys. Fully offline by design — no API keys, no cloud dependency. Maintained by the Ollama team, so it stays current with vision, tools, and embeddings as they land. Just know it's Ollama-specific: if you need to swap in OpenAI or Anthropic backends later, LiteLLM is the better foundation. No batch endpoint helpers either, so you'll roll your own for bulk inference.

✓ Strengths

  • +Official + maintained by Ollama team
  • +Async + sync + streaming all work
  • +Typed responses

△ Caveats

  • −Ollama-specific (use LiteLLM for multi-backend)
  • −No batch endpoint helpers

About the SDK / proxy category

Thin SDK / proxy / compatibility layer.

§ Other sdk / proxy apps
LiteLLM

Best universal LLM proxy. Foundational layer for multi-provider deployments.

Ollama JS / TS SDK

Foundational primitive for Node + browser apps against Ollama. ESM-native, typed.

Claudin.io

Cloud-only LLM router. Useful category, novel pricing. The 'unlimited' math has a known failure mode at heavy usage.

Where to go from here

Stack Builder →

Pre-filled with this app's recommended use case + budget tier. Get the full rig + runtime + model picks.

Back to /apps →

The full directory — filter by category, runtime, OS, privacy posture, or VRAM.

Runtimes (/tools) →

What this app talks to: Ollama, vLLM, llama.cpp, MLX, LM Studio. The upstream layer.

Community benchmarks →

Did this app work for you on a specific rig? Submit the benchmark — it powers the model + hardware pages.