llama-stack-mirror/docs
Ben Browning a4b573d750 Fix OpenAI API response format handling
This fixes the schema of OpenAI API chat completion response formats,
including how those response formats (and other nested parameters in
the chat completion request) get translated into paramters for calls
to the backend OpenAI-compatible providers.

Signed-off-by: Ben Browning <bbrownin@redhat.com>
2025-04-13 13:39:56 -04:00
..
_static Fix OpenAI API response format handling 2025-04-13 13:39:56 -04:00
notebooks fix: Misleading code in Llama Stack Benchmark Evals notebook (#1774) 2025-03-25 07:04:47 -07:00
openapi_generator feat: introduce llama4 support (#1877) 2025-04-05 11:53:35 -07:00
resources Several documentation fixes and fix link to API reference 2025-02-04 14:00:43 -08:00
source fix: misleading help text for 'llama stack build' and 'llama stack run' (#1910) 2025-04-12 01:19:11 -07:00
zero_to_hero_guide fix: Default to port 8321 everywhere (#1734) 2025-03-20 15:50:41 -07:00
conftest.py fix: sleep after notebook test 2025-03-23 14:03:35 -07:00
contbuild.sh Fix broken links with docs 2024-11-22 20:42:17 -08:00
dog.jpg Support for Llama3.2 models and Swift SDK (#98) 2024-09-25 10:29:58 -07:00
getting_started.ipynb feat: introduce llama4 support (#1877) 2025-04-05 11:53:35 -07:00
getting_started_llama4.ipynb docs: llama4 getting started nb (#1878) 2025-04-06 18:51:34 -07:00
license_header.txt Initial commit 2024-07-23 08:32:33 -07:00
make.bat first version of readthedocs (#278) 2024-10-22 10:15:58 +05:30
Makefile first version of readthedocs (#278) 2024-10-22 10:15:58 +05:30
readme.md docs: fixing sphinx imports (#1884) 2025-04-05 14:21:45 -07:00
requirements.txt docs: fixing sphinx imports (#1884) 2025-04-05 14:21:45 -07:00

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

pip install -r requirements.txt
cd docs
python -m sphinx_autobuild source _build

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: