feat: GenAI Client(evals): Update to generate_conversation_scenarios from generate_user_scenarios

PiperOrigin-RevId: 885882534

Author: vertex-sdk-bot

…/replays/test_generate_user_scenarios.py …/test_generate_conversation_scenarios.pytests/unit/vertexai/genai/replays/test_generate_user_scenarios.py renamed to tests/unit/vertexai/genai/replays/test_generate_conversation_scenarios.py tests/unit/vertexai/genai/replays/test_generate_user_scenarios.py renamed to tests/unit/vertexai/genai/replays/test_generate_conversation_scenarios.py

@@ -19,9 +19,9 @@
 import pytest
 
 
-def test_gen_user_scenarios(client):
-    """Tests that generate_user_scenarios() correctly calls the API and parses the response."""
-    eval_dataset = client.evals.generate_user_scenarios(
+def test_gen_conversation_scenarios(client):
+    """Tests that generate_conversation_scenarios() correctly calls the API and parses the response."""
+    eval_dataset = client.evals.generate_conversation_scenarios(
         agents={
             "booking-agent": types.evals.AgentConfig(
                 agent_id="booking-agent",
@@ -40,13 +40,13 @@ def test_gen_user_scenarios(client):
                 ],
             )
         },
-        user_scenario_generation_config=types.evals.UserScenarioGenerationConfig(
-            user_scenario_count=2,
-            simulation_instruction=(
+        config=types.evals.UserScenarioGenerationConfig(
+            count=2,
+            generation_instruction=(
                 "Generate scenarios where the user tries to book a flight but"
                 " changes their mind about the destination."
             ),
-            environment_data="Today is Monday. Flights to Paris are available.",
+            environment_context="Today is Monday. Flights to Paris are available.",
             model_name="gemini-2.5-flash",
         ),
         root_agent_id="booking-agent",
@@ -67,9 +67,9 @@ def test_gen_user_scenarios(client):
 
 
 @pytest.mark.asyncio
-async def test_gen_user_scenarios_async(client):
-    """Tests that generate_user_scenarios() async correctly calls the API and parses the response."""
-    eval_dataset = await client.aio.evals.generate_user_scenarios(
+async def test_gen_conversation_scenarios_async(client):
+    """Tests that generate_conversation_scenarios() async correctly calls the API and parses the response."""
+    eval_dataset = await client.aio.evals.generate_conversation_scenarios(
         agents={
             "booking-agent": types.evals.AgentConfig(
                 agent_id="booking-agent",
@@ -88,13 +88,13 @@ async def test_gen_user_scenarios_async(client):
                 ],
             )
         },
-        user_scenario_generation_config=types.evals.UserScenarioGenerationConfig(
-            user_scenario_count=2,
-            simulation_instruction=(
+        config=types.evals.UserScenarioGenerationConfig(
+            count=2,
+            generation_instruction=(
                 "Generate scenarios where the user tries to book a flight but"
                 " changes their mind about the destination."
             ),
-            environment_data="Today is Monday. Flights to Paris are available.",
+            environment_context="Today is Monday. Flights to Paris are available.",
             model_name="gemini-2.5-flash",
         ),
         root_agent_id="booking-agent",
@@ -114,5 +114,5 @@ async def test_gen_user_scenarios_async(client):
 pytestmark = pytest_helper.setup(
     file=__file__,
     globals_for_file=globals(),
-    test_method="evals.generate_user_scenarios",
+    test_method="evals.generate_conversation_scenarios",
 )

tests/unit/vertexai/genai/test_evals.py

@@ -6140,8 +6140,8 @@ def read_file_contents_side_effect(src: str) -> str:
         )
 
 
-class TestEvalsGenerateUserScenarios(unittest.TestCase):
-    """Unit tests for the Evals generate_user_scenarios method."""
+class TestEvalsGenerateConversationScenarios(unittest.TestCase):
+    """Unit tests for the Evals generate_conversation_scenarios method."""
 
     def setUp(self):
         self.addCleanup(mock.patch.stopall)
@@ -6161,13 +6161,13 @@ def setUp(self):
         )
         self.mock_api_client.request.return_value = self.mock_response
 
-    def test_generate_user_scenarios(self):
-        """Tests that generate_user_scenarios correctly calls the API and parses the response."""
+    def test_generate_conversation_scenarios(self):
+        """Tests that generate_conversation_scenarios correctly calls the API and parses the response."""
         evals_module = evals.Evals(api_client_=self.mock_api_client)
 
-        eval_dataset = evals_module.generate_user_scenarios(
+        eval_dataset = evals_module.generate_conversation_scenarios(
             agents={"agent_1": {}},
-            user_scenario_generation_config={"user_scenario_count": 2},
+            config={"count": 2},
             root_agent_id="agent_1",
         )
         assert isinstance(eval_dataset, vertexai_genai_types.EvaluationDataset)
@@ -6187,17 +6187,17 @@ def test_generate_user_scenarios(self):
         self.mock_api_client.request.assert_called_once()
 
     @pytest.mark.asyncio
-    async def test_async_generate_user_scenarios(self):
-        """Tests that async generate_user_scenarios correctly calls the API and parses the response."""
+    async def test_async_generate_conversation_scenarios(self):
+        """Tests that async generate_conversation_scenarios correctly calls the API and parses the response."""
 
         self.mock_api_client.async_request = mock.AsyncMock(
             return_value=self.mock_response
         )
         async_evals_module = evals.AsyncEvals(api_client_=self.mock_api_client)
 
-        eval_dataset = await async_evals_module.generate_user_scenarios(
+        eval_dataset = await async_evals_module.generate_conversation_scenarios(
             agents={"agent_1": {}},
-            user_scenario_generation_config={"user_scenario_count": 2},
+            config={"count": 2},
             root_agent_id="agent_1",
         )
         assert isinstance(eval_dataset, vertexai_genai_types.EvaluationDataset)

vertexai/_genai/_transformers.py

@@ -125,6 +125,27 @@ def t_metric_sources(metrics: list[Any]) -> list[dict[str, Any]]:
     return sources_payload
 
 
+def t_user_scenario_generation_config(
+    config: "types.evals.UserScenarioGenerationConfigOrDict",
+) -> dict[str, Any]:
+    """Transforms UserScenarioGenerationConfig to Vertex AI format."""
+    payload: dict[str, Any] = {}
+    config_dict = config if isinstance(config, dict) else config.model_dump()
+
+    if getv(config_dict, ["count"]) is not None:
+        payload["user_scenario_count"] = getv(config_dict, ["count"])
+    if getv(config_dict, ["generation_instruction"]) is not None:
+        payload["simulation_instruction"] = getv(
+            config_dict, ["generation_instruction"]
+        )
+    if getv(config_dict, ["environment_context"]) is not None:
+        payload["environment_data"] = getv(config_dict, ["environment_context"])
+    if getv(config_dict, ["model_name"]) is not None:
+        payload["model_name"] = getv(config_dict, ["model_name"])
+
+    return payload
+
+
 def t_metric_for_registry(
     metric: "types.Metric",
 ) -> dict[str, Any]: