feat(gooddata-sdk): [AUTO] add allowed_relationship_types to ai_chat and ai_chat_stream

Expose the new allowedRelationshipTypes ChatRequest field via the SDK
wrapper. Both ai_chat() and ai_chat_stream() in ComputeService now
accept an optional allowed_relationship_types parameter
(list[AllowedRelationshipType]) that is forwarded to the API client.
AllowedRelationshipType is also re-exported from gooddata_sdk.__init__
for convenient SDK consumer imports. Tests added for both methods with
the new parameter.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Author: Auto Implementer

packages/gooddata-sdk/src/gooddata_sdk/__init__.py

@@ -276,6 +276,7 @@
     PopDatesetMetric,
     SimpleMetric,
 )
+from gooddata_api_client.model.allowed_relationship_type import AllowedRelationshipType
 from gooddata_sdk.compute.service import ComputeService
 from gooddata_sdk.sdk import GoodDataSdk
 from gooddata_sdk.table import ExecutionTable, TableService

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

@@ -8,6 +8,7 @@
 
 from gooddata_api_client import ApiException
 from gooddata_api_client.model.afm_cancel_tokens import AfmCancelTokens
+from gooddata_api_client.model.allowed_relationship_type import AllowedRelationshipType
 from gooddata_api_client.model.chat_history_request import ChatHistoryRequest
 from gooddata_api_client.model.chat_history_result import ChatHistoryResult
 from gooddata_api_client.model.chat_request import ChatRequest
@@ -135,17 +136,27 @@ def build_exec_def_from_chat_result(
             is_cancellable=is_cancellable,
         )
 
-    def ai_chat(self, workspace_id: str, question: str) -> ChatResult:
+    def ai_chat(
+        self,
+        workspace_id: str,
+        question: str,
+        allowed_relationship_types: Optional[list[AllowedRelationshipType]] = None,
+    ) -> ChatResult:
         """
         Chat with AI in GoodData workspace.
 
         Args:
             workspace_id (str): workspace identifier
             question (str): question for the AI
+            allowed_relationship_types (Optional[list[AllowedRelationshipType]]): list of allowed relationship types
+                to filter which object-type combinations the AI may reference. Defaults to None (no filtering).
         Returns:
             ChatResult: Chat response
         """
-        chat_request = ChatRequest(question=question)
+        chat_params: dict[str, Any] = {}
+        if allowed_relationship_types is not None:
+            chat_params["allowed_relationship_types"] = allowed_relationship_types
+        chat_request = ChatRequest(question=question, **chat_params)
         response = self._actions_api.ai_chat(workspace_id, chat_request, _check_return_type=False)
         return response
 
@@ -160,17 +171,27 @@ def _parse_sse_events(self, raw: str) -> Iterator[Any]:
                     except json.JSONDecodeError:
                         continue
 
-    def ai_chat_stream(self, workspace_id: str, question: str) -> Iterator[Any]:
+    def ai_chat_stream(
+        self,
+        workspace_id: str,
+        question: str,
+        allowed_relationship_types: Optional[list[AllowedRelationshipType]] = None,
+    ) -> Iterator[Any]:
         """
         Chat Stream with AI in GoodData workspace.
 
         Args:
             workspace_id (str): workspace identifier
             question (str): question for the AI
+            allowed_relationship_types (Optional[list[AllowedRelationshipType]]): list of allowed relationship types
+                to filter which object-type combinations the AI may reference. Defaults to None (no filtering).
         Returns:
             Iterator[Any]: Yields parsed JSON objects from each SSE event's data field
         """
-        chat_request = ChatRequest(question=question)
+        chat_params: dict[str, Any] = {}
+        if allowed_relationship_types is not None:
+            chat_params["allowed_relationship_types"] = allowed_relationship_types
+        chat_request = ChatRequest(question=question, **chat_params)
         response = self._actions_api.ai_chat_stream(
             workspace_id, chat_request, _check_return_type=False, _preload_content=False
         )

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

@@ -2,6 +2,7 @@
 from pathlib import Path
 
 import pytest
+from gooddata_api_client.model.allowed_relationship_type import AllowedRelationshipType
 from gooddata_sdk import CatalogWorkspace
 from gooddata_sdk.sdk import GoodDataSdk
 from tests_support.vcrpy_utils import get_vcr
@@ -108,6 +109,59 @@ def test_ai_chat(test_config):
         sdk.compute.reset_ai_chat_history(test_workspace_id)
 
 
+@gd_vcr.use_cassette(str(_fixtures_dir / "ai_chat_allowed_relationship_types.yaml"))
+def test_ai_chat_with_allowed_relationship_types(test_config):
+    """Test AI chat with allowed_relationship_types parameter for filtering."""
+    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)
+        allowed_types = [
+            AllowedRelationshipType(source_type="dashboard", target_type="visualization"),
+            AllowedRelationshipType(source_type="dashboard", target_type="metric"),
+        ]
+        response = sdk.compute.ai_chat(
+            test_workspace_id,
+            "Create a visualization for total revenue",
+            allowed_relationship_types=allowed_types,
+        )
+        assert hasattr(response, "routing")
+        assert hasattr(response, "created_visualizations")
+        assert hasattr(response, "chat_history_interaction_id")
+        assert response.chat_history_interaction_id is not None
+    finally:
+        sdk.catalog_workspace.delete_workspace(test_workspace_id)
+        sdk.compute.reset_ai_chat_history(test_workspace_id)
+
+
+@gd_vcr.use_cassette(str(_fixtures_dir / "ai_chat_stream_allowed_relationship_types.yaml"))
+def test_ai_chat_stream_with_allowed_relationship_types(test_config):
+    """Test AI chat stream with allowed_relationship_types parameter for filtering."""
+    path = _current_dir / "load" / "ai"
+    sdk = GoodDataSdk.create(host_=test_config["host"], token_=test_config["token"])
+    test_workspace_id = test_config["workspace_test"]
+
+    question = "What is the total revenue for the year 2024?"
+    try:
+        _setup_test_workspace(sdk, test_workspace_id, path)
+        allowed_types = [
+            AllowedRelationshipType(source_type="dashboard", target_type="visualization"),
+        ]
+        buffer = {}
+        for chunk in sdk.compute.ai_chat_stream(
+            test_workspace_id,
+            question,
+            allowed_relationship_types=allowed_types,
+        ):
+            buffer = {**buffer, **chunk}
+        assert buffer is not None
+    finally:
+        sdk.catalog_workspace.delete_workspace(test_workspace_id)
+        sdk.compute.reset_ai_chat_history(test_workspace_id)
+
+
 @gd_vcr.use_cassette(str(_fixtures_dir / "get_ai_chat_history.yaml"))
 def test_get_ai_chat_history(test_config):
     """Test get AI chat history."""