chore: rename templates to distributions (#3035)

As the title says. Distributions is in, Templates is out.

`llama stack build --template` --> `llama stack build --distro`. For
backward compatibility, the previous option is kept but results in a
warning.

Updated `server.py` to remove the "config_or_template" backward
compatibility since it has been a couple releases since that change.

docs/source/distributions/building_distro.md

@@ -141,7 +141,7 @@ You may then pick a template to build your distribution with providers fitted to
 
 For example, to build a distribution with TGI as the inference provider, you can run:
 ```
-$ llama stack build --template starter
+$ llama stack build --distro starter
 ...
 You can now edit ~/.llama/distributions/llamastack-starter/starter-run.yaml and run `llama stack run ~/.llama/distributions/llamastack-starter/starter-run.yaml`
 ```
@@ -184,10 +184,10 @@ You can now edit ~/.llama/distributions/llamastack-my-local-stack/my-local-stack
 :::{tab-item} Building from a pre-existing build config file
 - In addition to templates, you may customize the build to your liking through editing config files and build from config files with the following command.
 
-- The config file will be of contents like the ones in `llama_stack/templates/*build.yaml`.
+- The config file will be of contents like the ones in `llama_stack/distributions/*build.yaml`.
 
 ```
-llama stack build --config llama_stack/templates/starter/build.yaml
+llama stack build --config llama_stack/distributions/starter/build.yaml
 ```
 :::
 
@@ -253,11 +253,11 @@ Podman is supported as an alternative to Docker. Set `CONTAINER_BINARY` to `podm
 To build a container image, you may start off from a template and use the `--image-type container` flag to specify `container` as the build image type.
 
 ```
-llama stack build --template starter --image-type container
+llama stack build --distro starter --image-type container
 ```
 
 ```
-$ llama stack build --template starter --image-type container
+$ llama stack build --distro starter --image-type container
 ...
 Containerfile created successfully in /tmp/tmp.viA3a3Rdsg/ContainerfileFROM python:3.10-slim
 ...

docs/source/distributions/importing_as_library.md

@@ -6,7 +6,7 @@ This avoids the overhead of setting up a server.
 ```bash
 # setup
 uv pip install llama-stack
-llama stack build --template starter --image-type venv
+llama stack build --distro starter --image-type venv
 ```
 
 ```python

docs/source/distributions/ondevice_distro/android_sdk.md

@@ -59,7 +59,7 @@ Start a Llama Stack server on localhost. Here is an example of how you can do th
 python -m venv stack-fireworks
 source stack-fireworks/bin/activate  # On Windows: stack-fireworks\Scripts\activate
 pip install --no-cache llama-stack==0.2.2
-llama stack build --template fireworks --image-type venv
+llama stack build --distro fireworks --image-type venv
 export FIREWORKS_API_KEY=<SOME_KEY>
 llama stack run fireworks --port 5050
 ```

docs/source/distributions/self_hosted_distro/dell.md

@@ -153,7 +153,7 @@ docker run \
   --pull always \
   -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
   -v $HOME/.llama:/root/.llama \
-  -v ./llama_stack/templates/tgi/run-with-safety.yaml:/root/my-run.yaml \
+  -v ./llama_stack/distributions/tgi/run-with-safety.yaml:/root/my-run.yaml \
   llamastack/distribution-dell \
   --config /root/my-run.yaml \
   --port $LLAMA_STACK_PORT \
@@ -169,7 +169,7 @@ docker run \
 Make sure you have done `pip install llama-stack` and have the Llama Stack CLI available.
 
 ```bash
-llama stack build --template dell --image-type venv
+llama stack build --distro dell --image-type venv
 llama stack run dell
   --port $LLAMA_STACK_PORT \
   --env INFERENCE_MODEL=$INFERENCE_MODEL \

docs/source/distributions/self_hosted_distro/meta-reference-gpu.md

@@ -109,7 +109,7 @@ docker run \
 Make sure you have done `uv pip install llama-stack` and have the Llama Stack CLI available.
 
 ```bash
-llama stack build --template meta-reference-gpu --image-type venv
+llama stack build --distro meta-reference-gpu --image-type venv
 llama stack run distributions/meta-reference-gpu/run.yaml \
   --port 8321 \
   --env INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct

docs/source/distributions/self_hosted_distro/nvidia.md

@@ -158,7 +158,7 @@ If you've set up your local development environment, you can also build the imag
 
 ```bash
 INFERENCE_MODEL=meta-llama/Llama-3.1-8b-Instruct
-llama stack build --template nvidia --image-type venv
+llama stack build --distro nvidia --image-type venv
 llama stack run ./run.yaml \
   --port 8321 \
   --env NVIDIA_API_KEY=$NVIDIA_API_KEY \

docs/source/distributions/self_hosted_distro/starter.md

@@ -169,7 +169,7 @@ docker run \
 Ensure you have configured the starter distribution using the environment variables explained above.
 
 ```bash
-uv run --with llama-stack llama stack build --template starter --image-type venv --run
+uv run --with llama-stack llama stack build --distro starter --image-type venv --run
 ```
 
 ## Example Usage