mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-10-04 04:04:14 +00:00
026caa5551
**Description** This PR removes some of the warnings when uv builds the docs - Errors appear when generating docs about .md files not appearing in toctree. ~~Adding content to the `providers-gen.py ` file that adds `--- orphan: true ---` to to each file.~~. Added a toctree generator to the `providers-gen.py` file, this gets rid of the errors in the builds. - Deletes the `_openai_compat` files, extension of PR #2849 - Adds the `files` APIs section to the `providers` toctree on the index page - Manually adds the `--- orphan: true ---` to the advanced apis. Ill try to find a way to modify the providers code gen so it automatically adds it, but this fixes the errors. - Adds the `testing.md` to the `contributing` toctree - Adds `starting_llama_stack_server.md` to `distributions` toctree There are some other warnings im still looking at but this PR gets rid of most of the toctree errors Theres also an issue with the actual distribution-codegen that I can investigate in another PR. Opened a bug for it here #2873 |
||
|---|---|---|
| .. | ||
| _static | ||
| notebooks | ||
| openapi_generator | ||
| resources | ||
| source | ||
| zero_to_hero_guide | ||
| conftest.py | ||
| contbuild.sh | ||
| dog.jpg | ||
| getting_started.ipynb | ||
| getting_started_llama4.ipynb | ||
| getting_started_llama_api.ipynb | ||
| license_header.txt | ||
| make.bat | ||
| Makefile | ||
| original_rfc.md | ||
| quick_start.ipynb | ||
| README.md | ||
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 ReadTheDocs page.
Render locally
From the llama-stack root directory, run the following command to render the docs locally:
uv run --group docs sphinx-autobuild docs/source docs/build/html --write-all
You can open up the docs in your browser at http://localhost:8000
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