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fd2aaf4978
We tried to always keep Ollama enabled. However doing so makes the provider implementation half-assed -- should it error when it cannot connect to Ollama or not? What happens during periodic model refresh? Etc. Instead do the same thing we do for vLLM -- use the `OLLAMA_URL` to conditionally enable the provider. ## Test Plan Run `uv run llama stack build --template starter --image-type venv --run` with and without `OLLAMA_URL` set. Verify using `llama-stack-client provider list` that ollama is correctly enabled. |
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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