Fix TLMOptions docs formatting (#357)

cleanlab_studio/studio/trustworthy_language_model.py

@@ -790,8 +790,8 @@ class TLMOptions(TypedDict):
     You can set custom values for these arguments regardless of the quality preset specified.
 
     Args:
-        model ({"gpt-4o-mini", "gpt-4o", "o3-mini", "o1", "o1-mini", "o1-preview", "gpt-3.5-turbo-16k", "gpt-4", "claude-3.5-sonnet-v2",
-        "claude-3.5-sonnet", "claude-3.5-haiku", "claude-3-haiku", "nova-micro", "nova-lite", "nova-pro"}, default = "gpt-4o-mini"):
+        model ({"gpt-4o-mini", "gpt-4o", "o3-mini", "o1", "o1-mini", "o1-preview", "gpt-3.5-turbo-16k", "gpt-4", "claude-3.5-sonnet-v2", \
+        "claude-3.5-sonnet", "claude-3.5-haiku", "claude-3-haiku", "nova-micro", "nova-lite", "nova-pro"}, default = "gpt-4o-mini"): \
         Underlying base LLM to use (better models yield better results, faster models yield faster/cheaper results).
         - Models still in beta: "o1", "o3-mini", "o1-mini", "claude-3.5-sonnet-v2", "claude-3.5-haiku", "nova-micro", "nova-lite", "nova-pro".
         - Recommended models for accuracy: "gpt-4o", "o1", "claude-3.5-sonnet-v2".
@@ -835,8 +835,9 @@ class TLMOptions(TypedDict):
         custom_eval_criteria (List[Dict[str, Any]], default = []): optionally specify custom evalution criteria.
         The expected input format is a list of dictionaries, where each dictionary has the following keys:
         - name: Name of the evaluation criteria.
-        - criteria: Instructions specifying the evaluation criteria.
-        Currently, only one custom evaluation criteria at a time is supported.
+        - criteria: Instructions specifying the evaluation criteria. 
+        
+            Currently, only one custom evaluation criteria at a time is supported.
     """
 
     model: NotRequired[str]