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Add a new remote provider that integrates MLflow's Prompt Registry with Llama Stack's prompts API, enabling centralized prompt management and versioning using MLflow as the backend. Features: - Full implementation of Llama Stack Prompts protocol - Support for prompt versioning and default version management - Automatic variable extraction from Jinja2-style templates - MLflow tag-based metadata for efficient prompt filtering - Flexible authentication (config, environment variables, per-request) - Bidirectional ID mapping (pmpt_<hex> ↔ llama_prompt_<hex>) - Comprehensive error handling and validation Implementation: - Remote provider: src/llama_stack/providers/remote/prompts/mlflow/ - Inline reference provider: src/llama_stack/providers/inline/prompts/reference/ - MLflow 3.4+ required for Prompt Registry API support - Deterministic ID mapping ensures consistency across conversions Testing: - 15 comprehensive unit tests (config validation, ID mapping) - 18 end-to-end integration tests (full CRUD workflows) - GitHub Actions workflow for automated CI testing with MLflow server - Integration test fixtures with automatic server setup Documentation: - Complete provider configuration reference - Setup and usage examples with code samples - Authentication options and security best practices Signed-off-by: William Caban <william.caban@gmail.com> Co-Authored-By: Claude <noreply@anthropic.com> |
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| .. | ||
| docs | ||
| notebooks | ||
| scripts | ||
| src | ||
| static | ||
| supplementary | ||
| zero_to_hero_guide | ||
| docusaurus.config.ts | ||
| dog.jpg | ||
| getting_started.ipynb | ||
| getting_started_llama4.ipynb | ||
| getting_started_llama_api.ipynb | ||
| license_header.txt | ||
| original_rfc.md | ||
| package-lock.json | ||
| package.json | ||
| quick_start.ipynb | ||
| README.md | ||
| sidebars.ts | ||
| tsconfig.json | ||
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