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7fb4bdabea
This Kubernetes cluster has: - vLLM for serving an inference model - vLLM for serving a safety model - Postgres DB (for metadata and other state for the Llama Stack distro) - Chroma DB for Vector IO (memory) Perhaps most importantly, this was me trying to learn Kubernetes for the first time. ## Test Plan Run `sh apply.sh` against an EKS cluster, then after `kubectl port-forward service/llama-stack-service 8321:8321` and after many attempts, we have finally: <img width="1589" alt="image" src="https://github.com/user-attachments/assets/c69f242d-6aaa-4def-9f7c-172113b8bfc1" /> <img width="1978" alt="image" src="https://github.com/user-attachments/assets/cf678404-f551-4fa5-9077-bebe3e8e8ae8" /> |
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| _static | ||
| notebooks | ||
| openapi_generator | ||
| resources | ||
| source | ||
| zero_to_hero_guide | ||
| conftest.py | ||
| contbuild.sh | ||
| dog.jpg | ||
| getting_started.ipynb | ||
| getting_started_llama4.ipynb | ||
| getting_started_llama_api.ipynb | ||
| license_header.txt | ||
| make.bat | ||
| Makefile | ||
| 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