docs: remove pure venv references

docs/source/distributions/ondevice_distro/android_sdk.md

@@ -56,12 +56,12 @@ Breaking down the demo app, this section will show the core pieces that are used
 ### Setup Remote Inferencing
 Start a Llama Stack server on localhost. Here is an example of how you can do this using the firework.ai distribution:
 ```
-python -m venv stack-fireworks
-source stack-fireworks/bin/activate  # On Windows: stack-fireworks\Scripts\activate
+uv venv starter --python 3.12
+source starter/bin/activate  # On Windows: starter\Scripts\activate
 pip install --no-cache llama-stack==0.2.2
-llama stack build --distro fireworks --image-type venv
+llama stack build --distro starter --image-type venv
 export FIREWORKS_API_KEY=<SOME_KEY>
-llama stack run fireworks --port 5050
+llama stack run starter --port 5050
 ```
 
 Ensure the Llama Stack server version is the same as the Kotlin SDK Library for maximum compatibility.

docs/source/getting_started/detailed_tutorial.md

@@ -150,13 +150,7 @@ pip install llama-stack-client
 ```
 :::
 
-:::{tab-item} Install with `venv`
-```bash
-python -m venv stack-client
-source stack-client/bin/activate  # On Windows: stack-client\Scripts\activate
-pip install llama-stack-client
-```
-:::
+
 ::::
 
 Now let's use the `llama-stack-client` [CLI](../references/llama_stack_client_cli_reference.md) to check the

docs/source/references/llama_cli_reference/download_models.md

@@ -19,7 +19,7 @@ You have two ways to install Llama Stack:
     cd ~/local
     git clone git@github.com:meta-llama/llama-stack.git
 
-    python -m venv myenv
+    uv venv myenv --python 3.12
     source myenv/bin/activate  # On Windows: myenv\Scripts\activate
 
     cd llama-stack

docs/source/references/llama_cli_reference/index.md

@@ -19,7 +19,7 @@ You have two ways to install Llama Stack:
     cd ~/local
     git clone git@github.com:meta-llama/llama-stack.git
 
-    python -m venv myenv
+    uv venv myenv --python 3.12
     source myenv/bin/activate  # On Windows: myenv\Scripts\activate
 
     cd llama-stack