Fixing OpenAPI spec for get requests and fern v.

fern/docs/pages/options/prompts.mdx

@@ -10,21 +10,19 @@ follow a specific prompt format. These models are fine-tuned using prompt data,
 and if you match your prompt formats to that training data format then you can
 see boosts in performance.
 
-Check out the [model details page](details) to learn which prompt formats match
+Check out the [model details page](models) to learn which prompt formats match
 certain LLMs. We've included some of the most important prompt formats below.
 
-import { Callout } from "nextra-theme-docs";
-
-<Callout type="info" emoji="ℹ️">
+<Info>
   **Note on Chat model prompts** - For your convenience, we automatically apply
   the right prompt formats when you supply a `messages` object to our
-  `/chat/completions` endpoint or via the `client.chat.completions.create()` method in the
-  Python client. You don't have to add in special tokens or apply the below
-  prompt formats as this will duplicate the formatting. However, if you want to
-  use chat-tuned models in the `/completions` endpoint or via the
-  `client.completions.create()` method, you should apply the appropriate one of the
-  below prompt formats.
-</Callout>
+  `/chat/completions` endpoint or via the `client.chat.completions.create()`
+  method in the Python client. You don't have to add in special tokens or apply
+  the below prompt formats as this will duplicate the formatting. However, if
+  you want to use chat-tuned models in the `/completions` endpoint or via the
+  `client.completions.create()` method, you should apply the appropriate one of
+  the below prompt formats.
+</Info>
 
 ## Alpaca
 
@@ -108,4 +106,4 @@ DDL statements:
 {create_table_statements}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
 
 The following SQL query best answers the question {user_question}:
-```
+```

fern/fern.config.json

@@ -1,4 +1,4 @@
 {
   "organization": "Prediction-Guard",
-  "version": "0.30.0"
+  "version": "0.35.0"
 }