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docs: Update docs and fix warning in start-stack.sh (#1937)

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Small docs update and an update for `start-stack.sh` with missing color
and if statment logic.

# What does this PR do?
1. Makes a small change to start-stack.sh to resolve this error:
```cmd
/home/aireilly/.local/lib/python3.13/site-packages/llama_stack/distribution/start_stack.sh: line 76: [: missing ]'
```
2. Adds a missing $GREEN colour to start-stack.sh
3. Updated `docs/source/getting_started/detailed_tutorial.md` with some
small changes and corrections.

## Test Plan
Procedures described in
`docs/source/getting_started/detailed_tutorial.md` were verified on
Linux Fedora 41.
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Aidan Reilly 2025-04-12 00:26:17 +01:00 • committed by GitHub
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6
docs/source/getting_started/detailed_tutorial.md
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@ -69,7 +69,7 @@ which defines the providers and their settings.
Now let's build and run the Llama Stack config for Ollama.
```bash
INFERENCE_MODEL=llama3.2:3b llama stack build --template ollama --image-type conda --run
INFERENCE_MODEL=llama3.2:3b llama stack build --template ollama --image-type conda --image-name llama3-3b-conda --run
```
:::
:::{tab-item} Using a Container
@ -77,10 +77,9 @@ You can use a container image to run the Llama Stack server. We provide several
component that works with different inference providers out of the box. For this guide, we will use
`llamastack/distribution-ollama` as the container image. If you'd like to build your own image or customize the
configurations, please check out [this guide](../references/index.md).
First lets setup some environment variables and create a local directory to mount into the container’s file system.
```bash
export INFERENCE_MODEL="meta-llama/Llama-3.2-3B-Instruct"
export INFERENCE_MODEL="llama3.2:3b"
export LLAMA_STACK_PORT=8321
mkdir -p ~/.llama
```
@ -223,6 +222,7 @@ Other SDKs are also available, please refer to the [Client SDK](../index.md#clie
Now you can run inference using the Llama Stack client SDK.
### i. Create the Script
Create a file `inference.py` and add the following code:
```python
from llama_stack_client import LlamaStackClient