Ollama Python

Ollama Python is the official Python client library for Ollama, the widely used tool for running large language models locally. Published by the Ollama team and holding over 10,000 stars on GitHub, it gives Python developers a first-party, idiomatic way to talk to a local Ollama server — the repository was still being actively updated in October 2026.

Overview

Once Ollama is installed and a model is pulled, the library exposes simple functions and a client class for chat, text generation, and embeddings, with both synchronous and asynchronous variants. Responses can be streamed token by token, and the library supports the model-management side of Ollama too: pulling, listing, showing, copying, and deleting models from code. It works against the local server by default and can be pointed at a remote Ollama host for shared deployments, making it equally useful for quick scripts and production services. Because it is the client the Ollama team itself maintains, new server features and model options tend to land here first, with documentation and examples kept in lockstep with releases.

Key Features

• Official client maintained by the Ollama project itself
• Chat, generate, and embeddings APIs mirroring the Ollama REST interface
• Streaming responses for low-latency, token-by-token output
• Async client for FastAPI and other asyncio-based applications
• Full model management from Python: pull, list, show, create, copy, delete
• Structured outputs and tool/function calling with Pydantic model support
• Typed responses that integrate cleanly with modern Python tooling

💳 Pricing

Free. Ollama Python is open source under the MIT license, and Ollama itself is free to run locally. Costs are limited to your own hardware and electricity.

Who Is It For

Python developers who run models through Ollama and want a supported, stable client instead of hand-rolled HTTP calls — ideal for local AI apps, internal tools, RAG prototypes, and offline-first products.