fix: fix inconsistent method signatures for evaluate_invocations

The evaluate_invocations method override in Evaluator subclasses was not consistent, leading to errors during calls, especially when using kwargs. Made the overrides and calls consistent to resolve this issue.

Co-authored-by: Keyur Joshi <keyurj@google.com>
PiperOrigin-RevId: 850462752

tests/unittests/evaluation/test_local_eval_service.py

@@ -26,6 +26,7 @@ from google.adk.evaluation.base_eval_service import InferenceConfig
 from google.adk.evaluation.base_eval_service import InferenceRequest
 from google.adk.evaluation.base_eval_service import InferenceResult
 from google.adk.evaluation.base_eval_service import InferenceStatus
+from google.adk.evaluation.conversation_scenarios import ConversationScenario
 from google.adk.evaluation.eval_case import Invocation
 from google.adk.evaluation.eval_metrics import EvalMetric
 from google.adk.evaluation.eval_metrics import EvalMetricResult
@@ -46,6 +47,7 @@ from google.adk.evaluation.metric_evaluator_registry import DEFAULT_METRIC_EVALU
 from google.adk.models.registry import LLMRegistry
 from google.genai import types as genai_types
 import pytest
+from typing_extensions import override
 
 
 @pytest.fixture
@@ -97,11 +99,13 @@ class FakeEvaluator(Evaluator):
         ),
     )
 
+  @override
   def evaluate_invocations(
       self,
       actual_invocations: list[Invocation],
-      expected_invocations: Optional[list[Invocation]],
-  ):
+      expected_invocations: Optional[list[Invocation]] = None,
+      conversation_scenario: Optional[ConversationScenario] = None,
+  ) -> EvaluationResult:
     if expected_invocations is None:
       raise ValueError("expected_invocations is required for this metric.")
     per_invocation_results = []
@@ -136,11 +140,13 @@ class FakeSingleSidedEvaluator(Evaluator):
         ),
     )
 
+  @override
   def evaluate_invocations(
       self,
       actual_invocations: list[Invocation],
-      expected_invocations: Optional[list[Invocation]],
-  ):
+      expected_invocations: Optional[list[Invocation]] = None,
+      conversation_scenario: Optional[ConversationScenario] = None,
+  ) -> EvaluationResult:
     per_invocation_results = []
     for actual in actual_invocations:
       per_invocation_results.append(