diff --git a/fern/pages/v2/text-generation/retrieval-augmented-generation-rag.mdx b/fern/pages/v2/text-generation/retrieval-augmented-generation-rag.mdx
index 792b1ce7d..f6c64375d 100644
--- a/fern/pages/v2/text-generation/retrieval-augmented-generation-rag.mdx
+++ b/fern/pages/v2/text-generation/retrieval-augmented-generation-rag.mdx
@@ -34,28 +34,29 @@ The code snippet below, for example, will produce a grounded answer to `"Where d
 
 ```python
 import cohere
+
 co = cohere.ClientV2(api_key="<YOUR API KEY>")
 
 # Retrieve the documents
 documents = [
-  {
-    "data": {
-      "title": "Tall penguins",
-      "snippet": "Emperor penguins are the tallest."
-    }
-  },
-  {
-    "data": {
-      "title": "Penguin habitats",
-      "snippet": "Emperor penguins only live in Antarctica."
-    }
-  },
-  {
-    "data": {
-      "title": "What are animals?",
-      "snippet": "Animals are different from plants."
+    {
+        "data": {
+            "title": "Tall penguins",
+            "snippet": "Emperor penguins are the tallest.",
+        }
+    },
+    {
+        "data": {
+            "title": "Penguin habitats",
+            "snippet": "Emperor penguins only live in Antarctica.",
+        }
+    },
+    {
+        "data": {
+            "title": "What are animals?",
+            "snippet": "Animals are different from plants.",
+        }
     }
-  }
 ]
 
 # Add the user message
@@ -65,7 +66,8 @@ messages = [{"role": "user", "content": message}]
 response = co.chat(
     model="command-r-plus-08-2024",
     messages=messages,
-    documents=documents)
+    documents=documents
+)
 
 print(response.message.content[0].text)
 
@@ -205,8 +207,9 @@ In the final step, we will be calling the Chat API again, but this time passing
 
 **Request**
 
-```py
+```python
 import cohere
+
 co = cohere.ClientV2(api_key="<YOUR API KEY>")
 
 documents = [
diff --git a/fern/pages/v2/text-generation/structured-outputs-json.mdx b/fern/pages/v2/text-generation/structured-outputs-json.mdx
index ca3edee72..ec7bf8f9b 100644
--- a/fern/pages/v2/text-generation/structured-outputs-json.mdx
+++ b/fern/pages/v2/text-generation/structured-outputs-json.mdx
@@ -24,12 +24,18 @@ When making an API request, you can specify the `response_format` parameter to i
 
 ```python
 import cohere
+
 co = cohere.ClientV2(api_key="YOUR API KEY")
 
 res = co.chat(
-  model="command-r-plus-08-2024",
-  messages=[{"role": "user", "content": "Generate a JSON describing a person, with the fields 'name' and 'age'"}],
-  response_format={ "type": "json_object" }
+    model="command-r-plus-08-2024",
+    messages=[
+        {
+            "role": "user",
+            "content": "Generate a JSON describing a person, with the fields 'name' and 'age'",
+        }
+    ],
+    response_format={"type": "json_object"}
 )
 
 print(res.message.content[0].text)
@@ -58,6 +64,7 @@ For example, let's say you want the LLM to generate a JSON object with specific
 
 ```python
 import cohere
+
 co = cohere.ClientV2(api_key="YOUR API KEY")
 
 res = co.chat(
@@ -79,7 +86,7 @@ res = co.chat(
                 "publication_year": {"type": "integer"},
             },
         },
-    },
+    }
 )
 
 print(res.message.content[0].text)