Add rerank models to the dynamic model list; Fix integration tests

docs/docs/providers/batches/index.mdx

@@ -18,14 +18,14 @@ title: Batches
 ## Overview
 
 The Batches API enables efficient processing of multiple requests in a single operation,
-    particularly useful for processing large datasets, batch evaluation workflows, and
-    cost-effective inference at scale.
+particularly useful for processing large datasets, batch evaluation workflows, and
+cost-effective inference at scale.
 
-    The API is designed to allow use of openai client libraries for seamless integration.
+The API is designed to allow use of openai client libraries for seamless integration.
 
-    This API provides the following extensions:
-     - idempotent batch creation
+This API provides the following extensions:
+ - idempotent batch creation
 
-    Note: This API is currently under active development and may undergo changes.
+Note: This API is currently under active development and may undergo changes.
 
 This section contains documentation for all available providers for the **batches** API.

docs/docs/providers/inference/index.mdx

@@ -5,6 +5,7 @@ description: "Llama Stack Inference API for generating completions, chat complet
     - LLM models: these models generate \"raw\" and \"chat\" (conversational) completions.
     - Embedding models: these models generate embeddings to be used for semantic search.
     - Rerank models: these models rerank the documents by relevance."
+
 sidebar_label: Inference
 title: Inference
 ---