Ollama python documentation example. Import requests and json library.

Ollama python documentation example You can check them out at the API Documentation of Ollama. This enables a model to answer a given prompt using tool(s) it knows about, making it possible for models to perform more complex tasks or interact with the outside world. For usage examples, see Usage Apr 17, 2025 · Ollama provides official client libraries for interacting with the API: Python: ollama-python; JavaScript: ollama-js; Additionally, many community libraries are available for other languages. Upgrade to the latest version of the Ollama Python or JavaScript library: Python. apt install python3-pip python3. For more details on these features, check out the Concepts section of the documentation. This example walks through building a retrieval augmented generation (RAG) application using Ollama and embedding models. md at main · ollama/ollama Get up and running with Llama 3. The library now also has full typing support and new examples have been added. What is … Ollama Tutorial: Your Guide to running LLMs Locally Read More » Ollama Python library. First, install the module, in pip use $ pip install ollama. To enable automated tracing of your model calls, set your LangSmith API key: Why Ollama Python? Ollama has emerged as the go-to solution for running large language models (LLMs) locally, and its Python library (version 0. Let’s break down the code into sections and understand each component: import os import logging from langchain_community. Jul 18, 2023 · Example prompts Ask questions ollama run codellama:7b-instruct 'You are an expert programmer that writes simple, concise code and explanations. 3. API Implementation Architecture. See Examples. Feb 21, 2024 · Use Ollama with the official Python library February 21, 2024. Generating Responses through Ollama API using Python Now that we know about the REST API Ollama provides, we can use Python to generate responses programmatically. Mar 3, 2025 · Ollama makes it easy to integrate local LLMs into your Python projects with just a few lines of code. python ollama_with_library. Our code analysis assistant will be capable of: Analyzing code structure and complexity; Identifying style issues and potential problems Get up and running with Llama 3. Run ollama help in the terminal to see available commands too. Ollama is a tool used to run the open-weights large language models locally. Feb 26, 2025 · Required Ollama Models. py; ollama/_types. - ollama/ollama To view all pulled models, use ollama list; To chat directly with a model from the command line, use ollama run <name-of-model> View the Ollama documentation for more commands. 3 Operations on Python. - ollama/README. Jan 29, 2024 · The Ollama Python library provides a simple interface to Ollama models in Python. pip install ollama. Get started. 3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3. May 15, 2025 · Example of asking location-based questions about a video frame: You can then ask follow-up questions: Document scanning Qwen 2. Import requests and json library. Examples on chat method, streaming and temperature option. Dec 16, 2024 · 2. Usage The Ollama Python library provides the easiest way to integrate Python 3. - ollama/ollama Feb 14, 2024 · There are various endpoints that we can use for different purposes. May 12, 2025 · You can check this other article Getting Started with Ollama: Run LLMs on Your Computer if you are no familiar with Ollama yet. Both libraries include all the features of the Ollama REST API, are familiar in design, and compatible with new and previous versions of Ollama. (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2. Get up and running with large language models. 1. You can pull them using the Ollama CLI: # Pull the models used in these Apr 8, 2024 · Ollama also integrates with popular tooling to support embeddings workflows such as LangChain and LlamaIndex. Ollama offers a user - friendly way to interact with various language models. py with the contents: Ollama Python library. See ths tutorial on how to handle images with ollama library : Ollama has a Python library!: 💡 The idea Wouldn't it Dec 17, 2024 · Documentation Helper. py for more information on the response types. cURL To view all pulled models, use ollama list; To chat directly with a model from the command line, use ollama run <name-of-model> View the Ollama documentation for more commands. Step 1: Generate embeddings pip install ollama chromadb Create a file named example. Mar 7, 2024 · Download Ollama and install it on Windows. Patching¶ Feb 21, 2024 · Use Ollama with the official Python library February 21, 2024. 12-venv python3 -m venv myvenv . CrewAI empowers developers with both high-level simplicity and precise low-level control, ideal for creating autonomous AI agents tailored to any scenario: Simplified LLM Interactions: Support for various LLM providers including OpenAI, Anthropic, Google, Vertex AI, Mistral/Mixtral, Anyscale, Ollama, llama-cpp-python, Cohere, and LiteLLM. The use of Ollama in Python is quite straightforward. 2 model. Before running the Python examples in this guide, make sure you have the necessary models pulled. - OllamaRelease/Ollama. The examples range from basic text generation to advanced features like function calling, multimodal inputs, and streaming responses. ollama This notebook demonstrates how to set up a simple RAG example using Ollama's LLaVA model and LangChain. Ollama Python library. Patching¶ Ollama on VS Code¶. Contribute to ollama/ollama-python development by creating an account on GitHub. - ollama/ollama Ollama Python library. Sources: README. 우선 Ollama를 설치한다. 3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models. This blog post will delve deep into To have a conversation with a model from Python, open the Python file chat_history. We will: Install necessary libraries; Set up and run Ollama in the background; Download a sample PDF document; Embed document chunks using a vector database (ChromaDB) Use Ollama's LLaVA model to answer queries based on document context [ ] Jan 17, 2024 · Parameter Description Value Type Example Usage; mirostat: Enable Mirostat sampling for controlling perplexity. 2. pip install -U ollama JavaScript. The Python API provided by Ollama extends its capabilities, allowing developers to integrate Ollama's functionality seamlessly into their Python applications. Ollama is a lightweight, extensible framework for building and running language models on the local machine. You can change the MODEL_NAME at the top of the file as needed, and you can also modify the system message or add few-shot examples if desired. Ollama is a great way to get started with AI by using open-source and publically available large-language models locally on your computer. pull ('llama2') Jan 28, 2024 · About ollama library has been released for Python and javascript and makes things even easier to achieve with local AI. This project is designed to be opened in GitHub Codespaces as an easy way for anyone to try out SLMs (small language models) entirely in the browser. Example; ollama list: Inspired by the Ollama documentation and community resources. The API is implemented in Go using the Gin framework for HTTP routing. Sep 5, 2024 · Before you start, make sure you have the right Python libraries installed. Link: Ollama Python SDK - Tutorial with Examples Feb 26, 2025 · Download and running with Llama 3. The Ollama Python library provides the easiest way to integrate Python 3. /myvenv/bin/python3 -m pip install ollama Get up and running with Llama 3. py from ollama_env_setup import query_ollama def document_code(code_snippet: str, model: str = "codellama") -> str: """ Generate comprehensive documentation for the given code snippet. CrewAI is a lean, lightning-fast Python framework built entirely from scratch—completely independent of LangChain or other agent frameworks. Jan 23, 2024 · The initial versions of the Ollama Python and JavaScript libraries are now available, making it easy to integrate your Python or JavaScript, or Typescript app with Ollama in a few lines of code. - ollama/docs/api. Description of {arg}" for arg in args)} Returns: Description of return value Examples: ```python Build a Local LLM-Powered Q&A Assistant with Python, Ollama Get up and running with Llama 3. After installing it, run it on your computer, it should keep running in the background. 8+ projects with Ollama. . Apr 18, 2025 · 易 Step 2: Build the AI Agent. If you haven’t installed them yet, you can do so using pip with this command: pip install langchain langchain_community langchain-openai scikit-learn langchain-ollama Example prompts Ask questions ollama run codellama:7b-instruct 'You are an expert programmer that writes simple, concise code and explanations. 7 as of 2025) simplifies AI integration for developers. Create a file: main. I wrote previously about how to get started with the experimental OpenAI API, but Ollama has a dedicated Python library that is even simpler. You have the option to use the default model save path, typically located at: C:\Users\your_user\. This tutorial will guide you through: Local model deployment without cloud dependencies; Real-time text generation with streaming Feb 9, 2024 · Both of these libraries allow direct Ollama integration into LLM code solutions, for example, a RAG solution using a local LLM. As mentioned, anything that can be done in Bash is also possible to be done in Python, however, features such as pulling and customizing the model 파이썬에서 Ollama를 사용하는 방법은 공식 깃헙 에서 잘 설명해주고 있다. (가상환경에서 진행하므로 이전에 terminal에서 설치해 준 것과 무관하게 다시 설치해줘야 한다) import ollama ollama. Dec 6, 2024 · Download the latest version of Ollama. You can pull them using the Ollama CLI: Pull the models used in these examples Dec 10, 2024 · Learn Retrieval-Augmented Generation (RAG) and how to implement it using ChromaDB and Ollama. See _types. document_loaders import PyPDFLoader from Feb 1, 2024 · The color of the sky appears blue due to a process called Rayleigh scattering. This guide walks you through installation, essential commands, and two practical use cases: building a chatbot and automating workflows. py. Example tools include: Functions and APIs; Web browsing; Code interpreter; much more! Tool calling Jan 20, 2025 · The Complete Implementation. This package provides easy access to all Ollama Toolkit endpoints with intuitive interfaces, complete type hints, and detailed documentation. To view all pulled models, use ollama list; To chat directly with a model from the command line, use ollama run <name-of-model> View the Ollama documentation for more commands. May 30, 2025 · The Ollama Python library provides the easiest way to integrate Python 3. 1 and other large language models. ' Fill-in-the-middle (FIM) or infill ollama run codellama:7b-code '<PRE> def compute_gcd(x, y): <SUF>return result <MID>' This project is a fork of pamelafox/ollama-python-playground, modified specifically to work with Google's Gemma 3 model through Ollama. Get up and running with Llama 3. ' Fill-in-the-middle (FIM) or infill ollama run codellama:7b-code '<PRE> def compute_gcd(x, y): <SUF>return result <MID>' Below you will find the link to my tutorial on how to use the new Ollama Python SDK with examples on the chat method, streaming parameter and using options like temperature. py from langchain_community. Open your command-line terminal and run the command below to install and execute the Llama3. py # main. Simplified LLM Interactions: Support for various LLM providers including OpenAI, Anthropic, Google, Vertex AI, Mistral/Mixtral, Anyscale, Ollama, llama-cpp-python, Cohere, and LiteLLM. Start by installing or upgrading the Ollama Python library: pip install -U ollama Passing Python functions as tools Define a Python function Mar 9, 2025 · Ollama Toolkit Python Client. 3, DeepSeek-R1, Phi-4, Gemma 3, and other large language models. Usage You can see a full list of supported parameters on the API reference page. See Ollama. py; ollama/_client. Then import that module on the script with import ollama. Response streaming can be enabled by setting stream=True. npm i ollama To pass structured outputs to the model, the format parameter can be used in the cURL request or the format parameter in the Python or JavaScript libraries. com for more information on the models available. 0) Mar 13, 2025 · I created a script that uses the codellama model to automatically generate comprehensive docstrings and comments for my Python code: # ollama_document_python_code. Dec 17, 2024 · Project Overview. Let's install a Python virtual environment first, install python3-pip. 5vl Apr 18, 2025 · ollama/__init__. We will need libraries such as langchain, langchain_community, langchain-ollama, langchain_openai. You can use the Continue Chat feature by clicking on the Continue button on the left-side of VS Code workspace. Apr 18, 2025 · This page provides an overview of the different ways to use the Ollama Python client library, with examples demonstrating its key features and capabilities. llms import Ollama from langchain_core. md at main · ollama/ollama Apr 11, 2025 · In the realm of artificial intelligence and natural language processing, tools like Ollama have emerged as powerful assets. Write a python function to generate the nth fibonacci number. If you click on Connect to VS Code, you will get a VS Code server instance with Continue extension. Jul 25, 2024 · Ollama now supports tool calling with popular models such as Llama 3. It’s quick to install, pull the LLM models and start prompting in your terminal / command prompt. py and run it. prompts import ChatPromptTemplate from vector import vector_store # Load the local model llm = Ollama(model="llama3:8b") # Set up prompt template template = """You are a helpful assistant analyzing pizza restaurant reviews. This tutorial should serve as a good reference for anything you wish to do with Ollama, so bookmark it and let’s get started. A comprehensive Python client library and command-line tools for interacting with the Ollama API. Example. md 31-34. Nov 25, 2024 · In the latest version of the Ollama Python library, functions can now be provided as tools. py; This document provides a comprehensive reference for the Ollama Python Client Library's API. Feb 14, 2025 · 3. It provides a simple API for creating, running, and managing models, as well as a library of pre-built models that can be easily used in a variety of applications. 4. Required Ollama Models Before running the Python examples in this guide, make sure you have the necessary models pulled. As sunlight reaches Earth's atmosphere, it interacts with different gases and particles in the air. This guide covers key concepts, vector databases, and a Python example to showcase RAG in action. 5 VL ollama run qwen2. Create a python file. We are going to set up a simple chat stream using Ollama’s Ollama Python library. It covers the main components, classes, methods, and data types that developers can use to interact with the Ollama server for running large language models locally. kgfpr kdrwulv ebjim walvwk pevzz nlbyg gqgno wddw qmvyoh rtjr