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# What does this PR do? The goal of this PR is to make the pages easier to navigate by surfacing the child pages on the navbar, updating some of the copy, moving some of the files around. Some changes: 1. Clarifying Titles 2. Restructuring "Distributions" more formally in its own page to be consistent with Providers and adding some clarity to the child pages to surface them and make them easier to navigate 3. Updated sphinx config to not collapse navigation by default 4. Updated copyright year to be calculated dynamically 5. Moved `docs/source/distributions/index.md` -> `docs/source/distributions/starting_llama_stack_server.md` Another for https://github.com/meta-llama/llama-stack/issues/1815 ## Test Plan Tested locally and pages build (screen shots for example). ## Documentation ### Before:  ### After:  Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
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Starting a Llama Stack Server
You can run a Llama Stack server in one of the following ways:
As a Library:
This is the simplest way to get started. Using Llama Stack as a library means you do not need to start a server. This is especially useful when you are not running inference locally and relying on an external inference service (eg. fireworks, together, groq, etc.) See Using Llama Stack as a Library
Container:
Another simple way to start interacting with Llama Stack is to just spin up a container (via Docker or Podman) which is pre-built with all the providers you need. We provide a number of pre-built images so you can start a Llama Stack server instantly. You can also build your own custom container. Which distribution to choose depends on the hardware you have. See Selection of a Distribution for more details.
Conda:
If you have a custom or an advanced setup or you are developing on Llama Stack you can also build a custom Llama Stack server. Using llama stack build and llama stack run you can build/run a custom Llama Stack server containing the exact combination of providers you wish. We have also provided various templates to make getting started easier. See Building a Custom Distribution for more details.
Kubernetes:
If you have built a container image and want to deploy it in a Kubernetes cluster instead of starting the Llama Stack server locally. See Kubernetes Deployment Guide for more details.
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importing_as_library
configuration
kubernetes_deployment