update bbr quickstart guide with latest functionality

config/manifests/bbr/configmap.yaml

@@ -0,0 +1,10 @@
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: vllm-llama3-8b-instruct-adapters-allowlist
+  labels:
+    inference-gateway.k8s.io/managed: "true"
+data:
+  baseModel: meta-llama/Llama-3.1-8B-Instruct
+  adapters: |
+    - food-review-1

config/manifests/vllm/sim-deployment-1.yaml → config/manifests/bbr/sim-deployment.yaml

@@ -42,3 +42,15 @@ spec:
         resources:
           requests:
             cpu: 10m
+---
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: deepseek-adapters-allowlist
+  labels:
+    inference-gateway.k8s.io/managed: "true"
+data:
+  baseModel: deepseek/vllm-deepseek-r1
+  adapters: |
+    - ski-resorts
+    - movie-critique

mkdocs.yml

@@ -67,7 +67,7 @@ nav:
       - Getting started (Released): guides/index.md
       - Getting started (Latest/Main): guides/getting-started-latest.md
       - Use Cases:
-        - Serve Multiple GenAI models: guides/serve-multiple-genai-models.md
+        - Serving Multiple Inference Pools (Latest/Main): guides/serving-multiple-inference-pools-latest.md
       - Rollout:
         - Adapter Rollout: guides/adapter-rollout.md
         - InferencePool Rollout: guides/inferencepool-rollout.md

site-src/_includes/bbr.md

@@ -1,3 +1,3 @@
 ### Deploy the Body Based Router Extension (Optional)
 
-This guide has shown how to get started with serving a single base model type per L7 URL path. If after this exercise, you wish to continue on to exercise model-aware routing such that more than 1 base model is served at the same L7 url path, that requires use of the (optional) Body Based Routing (BBR) extension which is described in a separate section of the documentation, namely the [`Serving Multiple GenAI Models`](serve-multiple-genai-models.md) section. If you wish to exercise that function, then retain the setup you have deployed so far from this guide and move on to the additional steps described in [that guide](serve-multiple-genai-models.md) or else move on to the following section to cleanup your setup. 
+This guide has shown how to get started with serving a single `InferencePool`. If after this exercise, you wish to continue on to exercise model-aware routing such that more than one `InferencePool` is served at the same L7 url path, that requires use of the (optional) Body Based Routing (BBR) extension which is described in a separate section of the documentation.

site-src/guides/getting-started-latest.md

@@ -16,8 +16,6 @@
 
 ### Deploy Sample Model Server
 
---8<-- "site-src/_includes/model-server-intro.md"
-
 --8<-- "site-src/_includes/model-server-gpu.md"
 
     ```bash
@@ -222,6 +220,8 @@ Deploy the sample InferenceObjective which allows you to specify priority of req
 
 --8<-- "site-src/_includes/bbr.md"
 
+If you wish to exercise that function, then retain the setup you have deployed so far from this guide and move on to the additional steps described in [Serving Multiple Inference Pools](serving-multiple-inference-pools-latest.md) or else move on to the following section to cleanup your setup.
+
 ### Cleanup
 
    The following instructions assume you would like to cleanup ALL resources that were created in this quickstart guide.

site-src/guides/index.md

@@ -21,8 +21,6 @@ IGW_LATEST_RELEASE=$(curl -s https://api.github.com/repos/kubernetes-sigs/gatewa
 
 ### Deploy Sample Model Server
 
---8<-- "site-src/_includes/model-server-intro.md"
-
 --8<-- "site-src/_includes/model-server-gpu.md"
 
     ```bash