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autogen/website
Jack Gerrits 5bf496ed2c
Small edits to update blog post (#1869) 		2 years ago
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blog Small edits to update blog post (#1869) 2 years ago
docs summary of recent updates (#1850) 2 years ago
src Add function generator and validator to gallery (#1807) 2 years ago
static Add function generator and validator to gallery (#1807) 2 years ago
.gitignore Add documentation for jupyter code executor (#1809) 2 years ago
README.md Extend process_notebooks for testing (#1789) 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 Create topics dir and move llm config (#1853) 2 years ago
package.json Rewrite and consolidate configuration docs (#1581) 2 years ago
process_notebooks.py Add documentation for jupyter code executor (#1809) 2 years ago
pydoc-markdown.yml fix some docstring issues affecting rendering (#1739) 2 years ago
sidebars.js Create topics dir and move llm config (#1853) 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
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