mirror of
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b1851dc9ef
Add support for reasoning fields in OpenAI-compatible chat completion messages to enable compatibility with vLLM reasoning parsers. Changes: - Add `reasoning_content` and `reasoning` fields to OpenAIAssistantMessageParam - Add `reasoning` field to OpenAIChoiceDelta (reasoning_content already existed) Both field names are supported for maximum compatibility: - `reasoning_content`: Used by vLLM ≤ v0.8.4 - `reasoning`: New field name in vLLM ≥ v0.9.x vLLM documentation recommends migrating to the shorter `reasoning` field name, but maintains backward compatibility with `reasoning_content`. These fields allow reasoning models to return their chain-of-thought process alongside the final answer, which is crucial for transparency and debugging with reasoning models. References: - vLLM Reasoning Outputs: https://docs.vllm.ai/en/stable/features/reasoning_outputs/ - vLLM Issue #12468: https://github.com/vllm-project/vllm/issues/12468 Signed-off-by: Charlie Doern <cdoern@redhat.com> |
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| 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