update docs

docs/source/get_started/quickstart.rst

@@ -50,10 +50,8 @@ Create ``arch_config.yaml`` file with the following content:
       timeout: 30s
 
    llm_providers:
-     - name: gpt-4o
-       access_key: $OPENAI_API_KEY
-       provider: openai
-       model: gpt-4o
+     - access_key: $OPENAI_API_KEY
+       model: openai/gpt-4o
 
    system_prompt: |
      You are a helpful assistant.
@@ -153,16 +151,12 @@ Create ``arch_config.yaml`` file with the following content:
       timeout: 30s
 
    llm_providers:
-     - name: gpt-4o
-       access_key: $OPENAI_API_KEY
-       provider_interface: openai
-       model: gpt-4o
+     - access_key: $OPENAI_API_KEY
+       model: openai/gpt-4o
        default: true
 
-     - name: ministral-3b
-       access_key: $MISTRAL_API_KEY
-       provider_interface: openai
-       model: ministral-3b-latest
+     - access_key: $MISTRAL_API_KEY
+       model: mistralministral-3b-latest
 
 Step 2. Start arch gateway
 ~~~~~~~~~~~~~~~~~~~~~~~~~~

docs/source/guides/llm_router.rst

@@ -74,9 +74,6 @@ Below is an example to show how to set up a prompt target for the Arch Router:
     :caption: Route Config Example
 
 
-    routing:
-    model: archgw-v1-router-model
-
     listeners:
     egress_traffic:
         address: 0.0.0.0
@@ -85,29 +82,22 @@ Below is an example to show how to set up a prompt target for the Arch Router:
         timeout: 30s
 
     llm_providers:
-    - name: archgw-v1-router-model
-        provider_interface: openai
-        model: katanemo/Arch-Router-1.5B
-        base_url: ...
 
-    - name: gpt-4o-mini
-        provider_interface: openai
-        access_key: $OPENAI_API_KEY
-        model: gpt-4o-mini
-        default: true
+    - model: openai/gpt-4o-mini
+      access_key: $OPENAI_API_KEY
+      default: true
 
-    - name: code_generation
-        provider_interface: openai
-        access_key: $OPENAI_API_KEY
-        model: gpt-4o
-        usage: Generating new code snippets, functions, or boilerplate based on user prompts or requirements
-
-    - name: code_understanding
-        provider_interface: openai
-        access_key: $OPENAI_API_KEY
-        model: gpt-4.1
-        usage: understand and explain existing code snippets, functions, or libraries
+    - model: openai/gpt-4o
+      access_key: $OPENAI_API_KEY
+      routing_preferences:
+        - name: code understanding
+          description: understand and explain existing code snippets, functions, or libraries
 
+    - model: openai/gpt-4.1
+      access_key: $OPENAI_API_KEY
+      routing_preferences:
+        - name: code generation
+          description: generating new code snippets, functions, or boilerplate based on user prompts or requirements
 
 Example Use Cases
 -------------------------