chore: Update vertexai & rouge scorer dependencies in eval to use a proxy

PiperOrigin-RevId: 822881672

src/google/adk/evaluation/final_response_match_v1.py

@@ -17,9 +17,9 @@ from __future__ import annotations
 from typing import Optional
 
 from google.genai import types as genai_types
-from rouge_score import rouge_scorer
 from typing_extensions import override
 
+from ..dependencies.rouge_scorer import rouge_scorer
 from .eval_case import Invocation
 from .eval_metrics import EvalMetric
 from .eval_metrics import Interval

src/google/adk/evaluation/response_evaluator.py

@@ -17,8 +17,8 @@ from __future__ import annotations
 from typing import Optional
 
 from typing_extensions import override
-from vertexai import types as vertexai_types
 
+from ..dependencies.vertexai import vertexai
 from .eval_case import Invocation
 from .eval_metrics import EvalMetric
 from .eval_metrics import Interval
@@ -30,6 +30,8 @@ from .evaluator import Evaluator
 from .final_response_match_v1 import RougeEvaluator
 from .vertex_ai_eval_facade import _VertexAiEvalFacade
 
+vertexai_types = vertexai.types
+
 
 class ResponseEvaluator(Evaluator):
   """Evaluates Agent's responses.

src/google/adk/evaluation/safety_evaluator.py

@@ -15,8 +15,8 @@
 from __future__ import annotations
 
 from typing_extensions import override
-from vertexai import types as vertexai_types
 
+from ..dependencies.vertexai import vertexai
 from .eval_case import Invocation
 from .eval_metrics import EvalMetric
 from .eval_metrics import Interval
@@ -27,6 +27,8 @@ from .evaluator import EvaluationResult
 from .evaluator import Evaluator
 from .vertex_ai_eval_facade import _VertexAiEvalFacade
 
+vertexai_types = vertexai.types
+
 
 class SafetyEvaluatorV1(Evaluator):
   """Evaluates safety (harmlessness) of an Agent's Response.

src/google/adk/evaluation/vertex_ai_eval_facade.py

@@ -21,15 +21,17 @@ from typing import Optional
 from google.genai import types as genai_types
 import pandas as pd
 from typing_extensions import override
-from vertexai import Client as VertexAiClient
-from vertexai import types as vertexai_types
 
+from ..dependencies.vertexai import vertexai
 from .eval_case import Invocation
 from .evaluator import EvalStatus
 from .evaluator import EvaluationResult
 from .evaluator import Evaluator
 from .evaluator import PerInvocationResult
 
+vertexai_types = vertexai.types
+VertexAiClient = vertexai.Client
+
 _ERROR_MESSAGE_SUFFIX = """
 You should specify both project id and location. This metric uses Vertex Gen AI
 Eval SDK, and it requires google cloud credentials.

tests/unittests/evaluation/test_response_evaluator.py

@@ -16,13 +16,15 @@ from __future__ import annotations
 
 """Tests for the Response Evaluator."""
 
+from google.adk.dependencies.vertexai import vertexai
 from google.adk.evaluation.eval_case import Invocation
 from google.adk.evaluation.eval_metrics import PrebuiltMetrics
 from google.adk.evaluation.evaluator import EvalStatus
 from google.adk.evaluation.response_evaluator import ResponseEvaluator
 from google.genai import types as genai_types
 import pytest
-from vertexai import types as vertexai_types
+
+vertexai_types = vertexai.types
 
 
 class TestResponseEvaluator:

tests/unittests/evaluation/test_safety_evaluator.py

@@ -14,13 +14,15 @@
 
 """Tests for the Response Evaluator."""
 
+from google.adk.dependencies.vertexai import vertexai
 from google.adk.evaluation.eval_case import Invocation
 from google.adk.evaluation.eval_metrics import EvalMetric
 from google.adk.evaluation.eval_metrics import PrebuiltMetrics
 from google.adk.evaluation.evaluator import EvalStatus
 from google.adk.evaluation.safety_evaluator import SafetyEvaluatorV1
 from google.genai import types as genai_types
-from vertexai import types as vertexai_types
+
+vertexai_types = vertexai.types
 
 
 class TestSafetyEvaluatorV1:

tests/unittests/evaluation/test_vertex_ai_eval_facade.py

@@ -18,12 +18,14 @@ from __future__ import annotations
 import math
 import random
 
+from google.adk.dependencies.vertexai import vertexai
 from google.adk.evaluation.eval_case import Invocation
 from google.adk.evaluation.evaluator import EvalStatus
 from google.adk.evaluation.vertex_ai_eval_facade import _VertexAiEvalFacade
 from google.genai import types as genai_types
 import pytest
-from vertexai import types as vertexai_types
+
+vertexai_types = vertexai.types
 
 
 class TestVertexAiEvalFacade: