llama-stack-mirror/docs
Ben Browning 263eb6fd37 fix: Restore previous responses to input list, not messages
This adjusts the restoration of previous responses to prepend them to
the list of Responses API inputs instead of our converted list of Chat
Completion messages. This matches the expected behavior of the
Responses API, and I misinterpreted the nuances here in the initial implementation.

Signed-off-by: Ben Browning <bbrownin@redhat.com>
2025-05-02 11:56:39 -04:00
..
_static fix: Restore previous responses to input list, not messages 2025-05-02 11:56:39 -04:00
notebooks fix: Misleading code in Llama Stack Benchmark Evals notebook (#1774) 2025-03-25 07:04:47 -07:00
openapi_generator chore: enable pyupgrade fixes (#1806) 2025-05-01 14:23:50 -07:00
resources Several documentation fixes and fix link to API reference 2025-02-04 14:00:43 -08:00
source fix: remove code interpeter implementation (#2087) 2025-05-01 14:35:08 -07:00
zero_to_hero_guide feat: add additional logging to llama stack build (#1689) 2025-04-30 11:06:24 -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
getting_started_llama_api.ipynb feat: add api.llama provider, llama-guard-4 model (#2058) 2025-04-29 10:07:41 -07:00
license_header.txt Initial commit 2024-07-23 08:32:33 -07:00
make.bat feat(pre-commit): enhance pre-commit hooks with additional checks (#2014) 2025-04-30 11:35:49 -07:00
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 feat(pre-commit): enhance pre-commit hooks with additional checks (#2014) 2025-04-30 11:35:49 -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: