fix doc format

Author: sycai

bigframes/bigquery/_operations/ai.py

@@ -83,20 +83,21 @@ def ai_generate_bool(
             uses the full endpoint of the model. If you don't specify an ENDPOINT value, BigQuery ML selects a recent stable
             version of Gemini to use.
         request_type (Literal["dedicated", "shared", "unspecified"]):
-            Specifies the type of inference request to send to the Gemini model. The request type determines what
-            quota the request uses.
-            * "dedicated": function only uses Provisioned Throughput quota. The function returns the error Provisioned throughput is not purchased or is not active if Provisioned Throughput quota isn't available.
+            Specifies the type of inference request to send to the Gemini model. The request type determines what quota the request uses.
+            * "dedicated": function only uses Provisioned Throughput quota. The function returns the error Provisioned throughput is not 
+            purchased or is not active if Provisioned Throughput quota isn't available.
             * "shared": the function only uses dynamic shared quota (DSQ), even if you have purchased Provisioned Throughput quota.
-            * "unspecified":
-                If you haven't purchased Provisioned Throughput quota, the function uses DSQ quota.
-                If you have purchased Provisioned Throughput quota, the function uses the Provisioned Throughput quota first. If requests exceed the Provisioned Throughput quota, the overflow traffic uses DSQ quota.
+            * "unspecified": If you haven't purchased Provisioned Throughput quota, the function uses DSQ quota. 
+            If you have purchased Provisioned Throughput quota, the function uses the Provisioned Throughput quota first. 
+            If requests exceed the Provisioned Throughput quota, the overflow traffic uses DSQ quota.
         model_params (Mapping[Any, Any]):
             Provides additional parameters to the model. The MODEL_PARAMS value must conform to the generateContent request body format.
 
     Returns:
         bigframes.series.Series: A new struct Series with the result data. The struct contains these fields:
         * "result": a BOOL value containing the model's response to the prompt. The result is None if the request fails or is filtered by responsible AI.
-        * "full_response": a STRING value containing the JSON response from the projects.locations.endpoints.generateContent call to the model. The generated text is in the text element.
+        * "full_response": a STRING value containing the JSON response from the projects.locations.endpoints.generateContent call to the model. 
+        The generated text is in the text element.
         * "status": a STRING value that contains the API response status for the corresponding row. This value is empty if the operation was successful.
     """