feat: consolidate most distros into "starter" (#2516)

# What does this PR do?

* Removes a bunch of distros
* Removed distros were added into the "starter" distribution
* Doc for "starter" has been added
* Partially reverts https://github.com/meta-llama/llama-stack/pull/2482
  since inference providers are disabled by default and can be turned on
  manually via env variable.
* Disables safety in starter distro

Closes: https://github.com/meta-llama/llama-stack/issues/2502.

~Needs: https://github.com/meta-llama/llama-stack/pull/2482 for Ollama
to work properly in the CI.~

TODO:

- [ ] We can only update `install.sh` when we get a new release.
- [x] Update providers documentation
- [ ] Update notebooks to reference starter instead of ollama

Signed-off-by: Sébastien Han <seb@redhat.com>

llama_stack/templates/ollama/doc_template.md

@@ -1,152 +0,0 @@
----
-orphan: true
----
-# Ollama Distribution
-
-```{toctree}
-:maxdepth: 2
-:hidden:
-
-self
-```
-
-The `llamastack/distribution-{{ name }}` distribution consists of the following provider configurations.
-
-{{ providers_table }}
-
-You should use this distribution if you have a regular desktop machine without very powerful GPUs. Of course, if you have powerful GPUs, you can still continue using this distribution since Ollama supports GPU acceleration.
-
-{% if run_config_env_vars %}
-### Environment Variables
-
-The following environment variables can be configured:
-
-{% for var, (default_value, description) in run_config_env_vars.items() %}
-- `{{ var }}`: {{ description }} (default: `{{ default_value }}`)
-{% endfor %}
-{% endif %}
-
-
-## Setting up Ollama server
-
-Please check the [Ollama Documentation](https://github.com/ollama/ollama) on how to install and run Ollama. After installing Ollama, you need to run `ollama serve` to start the server.
-
-In order to load models, you can run:
-
-```bash
-export INFERENCE_MODEL="meta-llama/Llama-3.2-3B-Instruct"
-
-# ollama names this model differently, and we must use the ollama name when loading the model
-export OLLAMA_INFERENCE_MODEL="llama3.2:3b-instruct-fp16"
-ollama run $OLLAMA_INFERENCE_MODEL --keepalive 60m
-```
-
-If you are using Llama Stack Safety / Shield APIs, you will also need to pull and run the safety model.
-
-```bash
-export SAFETY_MODEL="meta-llama/Llama-Guard-3-1B"
-
-# ollama names this model differently, and we must use the ollama name when loading the model
-export OLLAMA_SAFETY_MODEL="llama-guard3:1b"
-ollama run $OLLAMA_SAFETY_MODEL --keepalive 60m
-```
-
-## Running Llama Stack
-
-Now you are ready to run Llama Stack with Ollama as the inference provider. You can do this via Conda (build code) or Docker which has a pre-built image.
-
-### Via Docker
-
-This method allows you to get started quickly without having to build the distribution code.
-
-```bash
-export LLAMA_STACK_PORT=8321
-docker run \
-  -it \
-  --pull always \
-  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
-  -v ~/.llama:/root/.llama \
-  llamastack/distribution-{{ name }} \
-  --port $LLAMA_STACK_PORT \
-  --env INFERENCE_MODEL=$INFERENCE_MODEL \
-  --env OLLAMA_URL=http://host.docker.internal:11434
-```
-
-If you are using Llama Stack Safety / Shield APIs, use:
-
-```bash
-# You need a local checkout of llama-stack to run this, get it using
-# git clone https://github.com/meta-llama/llama-stack.git
-cd /path/to/llama-stack
-
-docker run \
-  -it \
-  --pull always \
-  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
-  -v ~/.llama:/root/.llama \
-  -v ./llama_stack/templates/ollama/run-with-safety.yaml:/root/my-run.yaml \
-  llamastack/distribution-{{ name }} \
-  --config /root/my-run.yaml \
-  --port $LLAMA_STACK_PORT \
-  --env INFERENCE_MODEL=$INFERENCE_MODEL \
-  --env SAFETY_MODEL=$SAFETY_MODEL \
-  --env OLLAMA_URL=http://host.docker.internal:11434
-```
-
-### Via Conda
-
-Make sure you have done `uv pip install llama-stack` and have the Llama Stack CLI available.
-
-```bash
-export LLAMA_STACK_PORT=8321
-
-llama stack build --template {{ name }} --image-type conda
-llama stack run ./run.yaml \
-  --port $LLAMA_STACK_PORT \
-  --env INFERENCE_MODEL=$INFERENCE_MODEL \
-  --env OLLAMA_URL=http://localhost:11434
-```
-
-If you are using Llama Stack Safety / Shield APIs, use:
-
-```bash
-llama stack run ./run-with-safety.yaml \
-  --port $LLAMA_STACK_PORT \
-  --env INFERENCE_MODEL=$INFERENCE_MODEL \
-  --env SAFETY_MODEL=$SAFETY_MODEL \
-  --env OLLAMA_URL=http://localhost:11434
-```
-
-
-### (Optional) Update Model Serving Configuration
-
-```{note}
-Please check the [model_entries](https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/inference/ollama/models.py) for the supported Ollama models.
-```
-
-To serve a new model with `ollama`
-```bash
-ollama run <model_name>
-```
-
-To make sure that the model is being served correctly, run `ollama ps` to get a list of models being served by ollama.
-```
-$ ollama ps
-NAME                         ID              SIZE      PROCESSOR    UNTIL
-llama3.2:3b-instruct-fp16    195a8c01d91e    8.6 GB    100% GPU     9 minutes from now
-```
-
-To verify that the model served by ollama is correctly connected to Llama Stack server
-```bash
-$ llama-stack-client models list
-
-Available Models
-
-┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┓
-┃ model_type   ┃ identifier                           ┃ provider_resource_id         ┃ metadata  ┃ provider_id ┃
-┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━┩
-│ llm          │ meta-llama/Llama-3.2-3B-Instruct     │ llama3.2:3b-instruct-fp16    │           │ ollama      │
-└──────────────┴──────────────────────────────────────┴──────────────────────────────┴───────────┴─────────────┘
-
-Total models: 1
-```