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autogen/website
Gunnar Kudrjavets bf3cc0f0ef
Check for missing dependencies before building the website (#1678) 		2 years ago
..
blog Update Azure OpenAI API to 2024-02-15-preview (#1692) 2 years ago
docs update ecosystem (#1624) 2 years ago
src Update grid to flow better across screen sizes (#1652) 2 years ago
static add new gallery item (#1365) 2 years ago
.gitignore Rewrite and consolidate configuration docs (#1581) 2 years ago
README.md Add notebooks section on website (#1495) 2 years ago
babel.config.js web-template 2 years ago
build_website.sh Check for missing dependencies before building the website (#1678) 2 years ago
docusaurus.config.js Rewrite and consolidate configuration docs (#1581) 2 years ago
package.json Rewrite and consolidate configuration docs (#1581) 2 years ago
process_notebooks.py add other language drop down link to AutoGen website (#1573) 2 years ago
pydoc-markdown.yml Upgrade docusaurus (#1101) 2 years ago
sidebars.js Rewrite and consolidate configuration docs (#1581) 2 years ago
yarn.lock Rewrite and consolidate configuration docs (#1581) 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: Support for Docusaurus 3.0 in Quarto is from version 1.4. Ensure that your quarto version is 1.4 or higher.

Local Development

Navigate to the website folder and run:

pydoc-markdown
quarto render ./docs
python ./process_notebooks.py
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