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cd7d3b1fdb
Updated documentation to accurately reflect current behavior where
models are identified as provider_id/provider_model_id in the system.
Changes:
o Clarify that model_id is for configuration purposes only o Explain
models are accessed as provider_id/provider_model_id o Remove outdated
aliasing example that suggested model_id could be used
as a custom identifier
This corrects the documentation which previously suggested model_id
could be used to create friendly aliases, which is not how the code
actually works.
Signed-off-by: Derek Higgins <derekh@redhat.com>
(cherry picked from commit
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| notebooks | ||
| openapi_generator | ||
| 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
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