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871802f489
level the following APIs as v1beta: 1. eval: job scheduling is not implemented. Relies heavily on the datasetio API which is under development/missing routes. 2. datasetio: used primarily by eval and training. Given that training is v1alpha, and eval is v1beta, datasetio is likely to change in structure as real usages of the API spin up. Register,unregister, and iter dataset is sparsely implemented meaning the shape of that route is likely to change. 3. telemetry: telemetry has been going through many changes. for example query_metrics was not even implemented until recently and had to change its shape to work. putting this in v1beta will allow us to fix functionality like OTEL, sqlite, etc. The routes themselves are set, but the structure might change a bit Signed-off-by: Charlie Doern <cdoern@redhat.com> |
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| zero_to_hero_guide | ||
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| contbuild.sh | ||
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| getting_started.ipynb | ||
| getting_started_llama4.ipynb | ||
| getting_started_llama_api.ipynb | ||
| license_header.txt | ||
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| 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