Add information for on-demand model switching in Bedrock (#1648)

content/en/references/configuration.md

@@ -95,7 +95,8 @@ This section covers configuration options that are specific to certain AWS servi
 | Variable | Example Values | Description |
 | - | - | - |
 | `BEDROCK_PREWARM` | `0` (default) \| `1` | Pre-warm the Bedrock engine directly on LocalStack startup instead of on demand. |
-| `DEFAULT_BEDROCK_MODEL` | `smollm2:360m` (default) | The model to use to handle text model invocations in Bedrock. Any text-based model available for Ollama is usable. |
+| `DEFAULT_BEDROCK_MODEL` | `smollm2:360m` (default) | The model that is used initially to handle text model invocations in Bedrock. Any text-based model available for Ollama is usable. |
+| `BEDROCK_PULL_MODELS` | `deepseek-r1,mistral` \' '' (default)  | A list of models that should get pulled into the model cache on startup. `DEFAULT_BEDROCK_MODEL` is automatically in there |
 
 ### BigData (EMR, Athena, Glue)
 

content/en/user-guide/aws/bedrock/index.md

@@ -29,6 +29,10 @@ The startup of the Bedrock engine can take some time.
 Per default, we only start it once you send a request to one of the `bedrock-runtime` APIs.
 However, if you want to start the engine when localstack starts to avoid long wait times on your first request you can set the flag `BEDROCK_PREWARM`.
 
+On startup, the `DEFAULT_BEDROCK_MODEL` is pulled from the Ollama library and loaded into memory.
+However, you can define an additional list of models in `BEDROCK_PULL_MODELS` to pull additional models when the Bedrock engine starts up.
+This way you avoid long wait times when switching between models on demand with requests.
+
 ### List available foundation models
 
 You can view all available foundation models using the [`ListFoundationModels`](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_ListFoundationModels.html) API.
@@ -140,6 +144,20 @@ For example, to use the Mistral model, set the environment variable while starti
 $ DEFAULT_BEDROCK_MODEL=mistral localstack start
 {{< / command >}}
 
+You can also define models directly in the request, by setting the `model-id` parameter to `ollama.<ollama-model-id>`.
+For example, if you want to access `deepseek-r1`, you can do it like this:
+
+{{< command >}}
+$ awslocal bedrock-runtime converse \
+    --model-id "ollama.deepseek-r1" \
+    --messages '[{
+        "role": "user",
+        "content": [{
+            "text": "Say Hello!"
+        }]
+    }]'
+{{< / command >}}
+
 ## Troubleshooting
 
 Users of Docker Desktop on macOS or Windows might run into the issue of Bedrock becoming unresponsive after some usage.