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autogen/website
Mark Sze cf29a2fac1
Recreated doc for Local LLMs - LiteLLM and Ollama - native function calling in Ollama (#3197) 		1 year ago
..
blog Observability blog post styling hot fix (#3234) 1 year ago
docs Recreated doc for Local LLMs - LiteLLM and Ollama - native function calling in Ollama (#3197) 1 year ago
src Add Agentok into gallery (#3148) 2 years ago
static Demo Notebook for Using Gemini with VertexAI (#3032) 2 years ago
.gitignore Update the auto_feedback_from_code_execution notebook to use code executor (#2366) 2 years ago
README.md add RAG under topics (#1990) 2 years ago
babel.config.js web-template 2 years ago
build_website.sh Extend process_notebooks for testing (#1789) 2 years ago
docusaurus.config.js Blog post for enhanced non-OpenAI model support (#2965) 2 years ago
package.json add clarity analytics (#2201) 2 years ago
process_notebooks.py Add isort (#2265) 2 years ago
pydoc-markdown.yml fix some docstring issues affecting rendering (#1739) 2 years ago
sidebars.js Autogenstudio docs (#2890) 2 years ago
yarn.lock Bump ws from 7.5.9 to 7.5.10 in /website (#2964) 2 years ago

README.md

Website

This website is built using Docusaurus 3, a modern static website generator.

Prerequisites

To build and test documentation locally, begin by downloading and installing Node.js, and then installing Yarn.
On Windows, you can install via the npm package manager (npm) which comes bundled with Node.js:

npm install --global yarn

Installation

pip install pydoc-markdown pyyaml colored
cd website
yarn install

Install Quarto

quarto is used to render notebooks.

Install it here.

Note: Ensure that your quarto version is 1.5.23 or higher.

Local Development

Navigate to the website folder and run:

pydoc-markdown
python ./process_notebooks.py render
yarn start

This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.

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This is a mirror of AutoGen from GitHub. AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.

Python SVG Jupyter Notebook C# TSX other