llama-stack-mirror/docs

Llama Stack Documentation

Here's a collection of comprehensive guides, examples, and resources for building AI applications with Llama Stack. For the complete documentation, visit our Github page.

Render locally

From the llama-stack docs/ directory, run the following commands to render the docs locally:

npm install
npm run gen-api-docs all
npm run build
npm run serve

You can open up the docs in your browser at http://localhost:3000

File Import System

This documentation uses remark-code-import to import files directly from the repository, eliminating copy-paste maintenance. Files are automatically embedded during build time.

Importing Code Files

To import Python code (or any code files) with syntax highlighting, use this syntax in .mdx files:

```python file=./demo_script.py title="demo_script.py"

This automatically imports the file content and displays it as a formatted code block with Python syntax highlighting.

**Note:** Paths are relative to the current `.mdx` file location, not the repository root.

### Importing Markdown Files as Content

For importing and rendering markdown files (like CONTRIBUTING.md), use the raw-loader approach:

```jsx
import Contributing from '!!raw-loader!../../../CONTRIBUTING.md';
import ReactMarkdown from 'react-markdown';

<ReactMarkdown>{Contributing}</ReactMarkdown>

Requirements:

• Install dependencies: npm install --save-dev raw-loader react-markdown

Path Resolution:

• For remark-code-import: Paths are relative to the current .mdx file location
• For raw-loader: Paths are relative to the current .mdx file location
• Use ../ to navigate up directories as needed

Content

Try out Llama Stack's capabilities through our detailed Jupyter notebooks:

• Building AI Applications Notebook - A comprehensive guide to building production-ready AI applications using Llama Stack
• Benchmark Evaluations Notebook - Detailed performance evaluations and benchmarking results
• Zero-to-Hero Guide - Step-by-step guide for getting started with Llama Stack