mirror of
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241e189fee
Address all feedback from PR #3962: **Code Quality Improvements:** - Rename `_uvicorn_run` → `_run_server` for accurate method naming - Refactor error handling: move Gunicorn fallback logic from `_run_with_gunicorn` to caller - Update comments to reflect both Uvicorn and Gunicorn behavior - Update test mock from `_uvicorn_run` to `_run_server` **Environment Variable:** - Change `LLAMA_STACK_DISABLE_GUNICORN` → `LLAMA_STACK_ENABLE_GUNICORN` - More intuitive positive logic (no double negatives) - Defaults to `true` on Unix systems - Clearer log messages distinguishing platform limitations vs explicit disable **Documentation:** - Remove unnecessary `uv sync --group unit --group test` from user docs - Clarify SQLite limitations: "SQLite only allows one writer at a time" - Accurate explanation: WAL mode enables concurrent reads but writes are serialized - Strong recommendation for PostgreSQL in production with high traffic **Architecture:** - Better separation of concerns: `_run_with_gunicorn` just executes, caller handles fallback - Exceptions propagate to caller for centralized decision making 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> |
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| getting_started_llama_api.ipynb | ||
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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.mdxfile location - For
raw-loader: Paths are relative to the current.mdxfile 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