llama-stack-mirror/docs
2025-09-24 21:09:50 +00:00
..
docs docs: static content migration (#3535) 2025-09-24 14:08:50 -07:00
notebooks fix: Set provider_id in NVIDIA notebook when registering dataset (#3472) 2025-09-17 11:45:15 -07:00
openapi_generator fix: update OpenAPI generator (#3527) 2025-09-24 13:57:27 -07:00
resources Several documentation fixes and fix link to API reference 2025-02-04 14:00:43 -08:00
src docs: src files for Docusaurus 2025-09-24 21:09:50 +00:00
static docs: static content migration (#3535) 2025-09-24 14:08:50 -07:00
zero_to_hero_guide docs: update documentation links (#3459) 2025-09-17 10:37:35 -07:00
docusaurus.config.ts docs: docusaurus setup 2025-09-24 21:09:50 +00:00
dog.jpg Support for Llama3.2 models and Swift SDK (#98) 2024-09-25 10:29:58 -07:00
getting_started.ipynb docs: update documentation links (#3459) 2025-09-17 10:37:35 -07:00
getting_started_llama4.ipynb docs: update documentation links (#3459) 2025-09-17 10:37:35 -07:00
getting_started_llama_api.ipynb docs: update documentation links (#3459) 2025-09-17 10:37:35 -07:00
license_header.txt Initial commit 2024-07-23 08:32:33 -07:00
original_rfc.md chore(rename): move llama_stack.distribution to llama_stack.core (#2975) 2025-07-30 23:30:53 -07:00
package-lock.json docs: docusaurus setup 2025-09-24 21:09:50 +00:00
package.json docs: docusaurus setup 2025-09-24 21:09:50 +00:00
quick_start.ipynb docs: update documentation links (#3459) 2025-09-17 10:37:35 -07:00
README.md docs: update documentation links (#3459) 2025-09-17 10:37:35 -07:00
sidebars.ts docs: Docusaurus sidebars 2025-09-24 21:09:50 +00:00
tsconfig.json docs: docusaurus setup 2025-09-24 21:09:50 +00:00

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 Github 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: