🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

google/cloud/dialogflow_v2/services/conversation_models/client.py

@@ -189,17 +189,19 @@ def parse_conversation_dataset_path(path: str) -> Dict[str, str]:
         return m.groupdict() if m else {}
 
     @staticmethod
-    def conversation_model_path(project: str, conversation_model: str,) -> str:
+    def conversation_model_path(
+        project: str, location: str, conversation_model: str,
+    ) -> str:
         """Returns a fully-qualified conversation_model string."""
-        return "projects/{project}/conversationModels/{conversation_model}".format(
-            project=project, conversation_model=conversation_model,
+        return "projects/{project}/locations/{location}/conversationModels/{conversation_model}".format(
+            project=project, location=location, conversation_model=conversation_model,
         )
 
     @staticmethod
     def parse_conversation_model_path(path: str) -> Dict[str, str]:
         """Parses a conversation_model path into its component segments."""
         m = re.match(
-            r"^projects/(?P<project>.+?)/conversationModels/(?P<conversation_model>.+?)$",
+            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/conversationModels/(?P<conversation_model>.+?)$",
             path,
         )
         return m.groupdict() if m else {}

google/cloud/dialogflow_v2/services/conversation_profiles/client.py

@@ -183,17 +183,19 @@ def parse_agent_path(path: str) -> Dict[str, str]:
         return m.groupdict() if m else {}
 
     @staticmethod
-    def conversation_model_path(project: str, conversation_model: str,) -> str:
+    def conversation_model_path(
+        project: str, location: str, conversation_model: str,
+    ) -> str:
         """Returns a fully-qualified conversation_model string."""
-        return "projects/{project}/conversationModels/{conversation_model}".format(
-            project=project, conversation_model=conversation_model,
+        return "projects/{project}/locations/{location}/conversationModels/{conversation_model}".format(
+            project=project, location=location, conversation_model=conversation_model,
         )
 
     @staticmethod
     def parse_conversation_model_path(path: str) -> Dict[str, str]:
         """Parses a conversation_model path into its component segments."""
         m = re.match(
-            r"^projects/(?P<project>.+?)/conversationModels/(?P<conversation_model>.+?)$",
+            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/conversationModels/(?P<conversation_model>.+?)$",
             path,
         )
         return m.groupdict() if m else {}

google/cloud/dialogflow_v2/types/agent.py

@@ -259,6 +259,12 @@ class ExportAgentRequest(proto.Message):
             export the agent to. The format of this URI must be
             ``gs://<bucket-name>/<object-name>``. If left unspecified,
             the serialized agent is returned inline.
+
+            Dialogflow performs a write operation for the Cloud Storage
+            object on the caller's behalf, so your request
+            authentication must have write permissions for the object.
+            For more information, see `Dialogflow access
+            control <https://cloud.google.com/dialogflow/cx/docs/concept/access-control#storage>`__.
     """
 
     parent = proto.Field(proto.STRING, number=1,)
@@ -309,9 +315,14 @@ class ImportAgentRequest(proto.Message):
             Required. The project that the agent to import is associated
             with. Format: ``projects/<Project ID>``.
         agent_uri (str):
-            The URI to a Google Cloud Storage file
-            containing the agent to import. Note: The URI
-            must start with "gs://".
+            The URI to a Google Cloud Storage file containing the agent
+            to import. Note: The URI must start with "gs://".
+
+            Dialogflow performs a read operation for the Cloud Storage
+            object on the caller's behalf, so your request
+            authentication must have read permissions for the object.
+            For more information, see `Dialogflow access
+            control <https://cloud.google.com/dialogflow/cx/docs/concept/access-control#storage>`__.
 
             This field is a member of `oneof`_ ``agent``.
         agent_content (bytes):
@@ -341,9 +352,14 @@ class RestoreAgentRequest(proto.Message):
             Required. The project that the agent to restore is
             associated with. Format: ``projects/<Project ID>``.
         agent_uri (str):
-            The URI to a Google Cloud Storage file
-            containing the agent to restore. Note: The URI
-            must start with "gs://".
+            The URI to a Google Cloud Storage file containing the agent
+            to restore. Note: The URI must start with "gs://".
+
+            Dialogflow performs a read operation for the Cloud Storage
+            object on the caller's behalf, so your request
+            authentication must have read permissions for the object.
+            For more information, see `Dialogflow access
+            control <https://cloud.google.com/dialogflow/cx/docs/concept/access-control#storage>`__.
 
             This field is a member of `oneof`_ ``agent``.
         agent_content (bytes):

google/cloud/dialogflow_v2/types/session.py

@@ -734,6 +734,11 @@ class EventInput(proto.Message):
             for a list of the currently supported language codes. Note
             that queries in the same session do not necessarily need to
             specify the same language.
+
+            This field is ignored when used in the context of a
+            [WebhookResponse.followup_event_input][google.cloud.dialogflow.v2.WebhookResponse.followup_event_input]
+            field, because the language was already defined in the
+            originating detect intent request.
     """
 
     name = proto.Field(proto.STRING, number=1,)