feat(gooddata-sdk): [AUTO] add conversation response feedback endpoints

packages/gooddata-sdk/src/gooddata_sdk/compute/service.py

@@ -12,6 +12,9 @@
 from gooddata_api_client.model.chat_history_result import ChatHistoryResult
 from gooddata_api_client.model.chat_request import ChatRequest
 from gooddata_api_client.model.chat_result import ChatResult
+from gooddata_api_client.model.conversation_response_list_dto import ConversationResponseListDto
+from gooddata_api_client.model.response_feedback_dto import ResponseFeedbackDto
+from gooddata_api_client.model.response_feedback_request import ResponseFeedbackRequest
 from gooddata_api_client.model.saved_visualization import SavedVisualization
 from gooddata_api_client.model.search_request import SearchRequest
 from gooddata_api_client.model.search_result import SearchResult
@@ -315,6 +318,50 @@ def search_ai(
         response = self._actions_api.ai_search(workspace_id, search_request, _check_return_type=False)
         return response
 
+    def get_conversation_responses(
+        self,
+        workspace_id: str,
+        conversation_id: str,
+    ) -> ConversationResponseListDto:
+        """
+        Get responses for a specific conversation.
+
+        Args:
+            workspace_id (str): workspace identifier
+            conversation_id (str): conversation identifier
+        Returns:
+            ConversationResponseListDto: List of conversation responses with optional feedback
+        """
+        response = self._actions_api.get_conversation_responses(workspace_id, conversation_id, _check_return_type=False)
+        return response
+
+    def set_conversation_response_feedback(
+        self,
+        workspace_id: str,
+        conversation_id: str,
+        response_id: str,
+        feedback_type: str,
+        feedback_text: str | None = None,
+    ) -> None:
+        """
+        Submit feedback for a specific conversation response.
+
+        Args:
+            workspace_id (str): workspace identifier
+            conversation_id (str): conversation identifier
+            response_id (str): response identifier to provide feedback for
+            feedback_type (str): feedback type ("POSITIVE" or "NEGATIVE")
+            feedback_text (str | None): optional feedback text. Defaults to None.
+        """
+        kwargs: dict[str, Any] = {}
+        if feedback_text is not None:
+            kwargs["text"] = feedback_text
+        feedback_dto = ResponseFeedbackDto(type=feedback_type, _check_type=False, **kwargs)
+        feedback_request = ResponseFeedbackRequest(feedback=feedback_dto, _check_type=False)
+        self._actions_api.patch_conversation_response(
+            workspace_id, conversation_id, response_id, feedback_request, _check_return_type=False
+        )
+
     def cancel_executions(self, executions: dict[str, dict[str, str]]) -> None:
         """
         Try to cancel given executions using the cancel api endpoint.

packages/gooddata-sdk/tests/compute/test_compute_service.py

@@ -219,6 +219,65 @@ def test_ai_chat_stream(test_config):
         sdk.compute.reset_ai_chat_history(test_workspace_id)
 
 
+@gd_vcr.use_cassette(str(_fixtures_dir / "get_conversation_responses.yaml"))
+def test_get_conversation_responses(test_config):
+    """Test get conversation responses."""
+    sdk = GoodDataSdk.create(host_=test_config["host"], token_=test_config["token"])
+    path = _current_dir / "load" / "ai"
+    test_workspace_id = test_config["workspace_test"]
+
+    try:
+        _setup_test_workspace(sdk, test_workspace_id, path)
+        conversation_id = "test-conversation-id"
+        response = sdk.compute.get_conversation_responses(test_workspace_id, conversation_id)
+        assert response is not None
+        assert hasattr(response, "responses")
+    finally:
+        sdk.catalog_workspace.delete_workspace(test_workspace_id)
+
+
+@gd_vcr.use_cassette(str(_fixtures_dir / "set_conversation_response_feedback.yaml"))
+def test_set_conversation_response_feedback(test_config):
+    """Test set conversation response feedback."""
+    sdk = GoodDataSdk.create(host_=test_config["host"], token_=test_config["token"])
+    path = _current_dir / "load" / "ai"
+    test_workspace_id = test_config["workspace_test"]
+
+    try:
+        _setup_test_workspace(sdk, test_workspace_id, path)
+        conversation_id = "test-conversation-id"
+        response_id = "test-response-id"
+        result = sdk.compute.set_conversation_response_feedback(
+            test_workspace_id, conversation_id, response_id, "POSITIVE"
+        )
+        assert result is None
+    finally:
+        sdk.catalog_workspace.delete_workspace(test_workspace_id)
+
+
+@gd_vcr.use_cassette(str(_fixtures_dir / "set_conversation_response_feedback_with_text.yaml"))
+def test_set_conversation_response_feedback_with_text(test_config):
+    """Test set conversation response feedback with text."""
+    sdk = GoodDataSdk.create(host_=test_config["host"], token_=test_config["token"])
+    path = _current_dir / "load" / "ai"
+    test_workspace_id = test_config["workspace_test"]
+
+    try:
+        _setup_test_workspace(sdk, test_workspace_id, path)
+        conversation_id = "test-conversation-id"
+        response_id = "test-response-id"
+        result = sdk.compute.set_conversation_response_feedback(
+            test_workspace_id,
+            conversation_id,
+            response_id,
+            "NEGATIVE",
+            feedback_text="The response was not helpful.",
+        )
+        assert result is None
+    finally:
+        sdk.catalog_workspace.delete_workspace(test_workspace_id)
+
+
 @gd_vcr.use_cassette(str(_fixtures_dir / "build_exec_def_from_chat_result.yaml"))
 def test_build_exec_def_from_chat_result(test_config):
     """Test build execution definition from chat result."""