feat: Onboard Vertex Model Garden to GenAI Python SDK: Add export_open_model support

PiperOrigin-RevId: 951526334

Author: vertex-sdk-bot

agentplatform/_genai/evals.py

@@ -3095,25 +3095,7 @@ def create_evaluation_run(
         if isinstance(config, dict):
             config = types.CreateEvaluationRunConfig.model_validate(config)
 
-        # Auto-construct inference_configs when agent_info is explicitly
-        # provided (existing behavior) OR an agent resource is provided
-        # (allows omitting agent_info for both Gemini Agents and Agent
-        # Engine). The server skips inference per-item when a
-        # CandidateResponse with a matching candidate name already exists,
-        # so it is safe to always send inference_configs.
-        _should_auto_infer = not inference_configs and (agent_info or agent)
-        if _should_auto_infer:
-            if not parsed_agent_info.name:
-                # Prefer the dataset's candidate_name (set by run_inference)
-                # so the inference_configs key matches the CandidateResponse
-                # and the server correctly skips already-completed items.
-                if (
-                    isinstance(dataset, types.EvaluationDataset)
-                    and dataset.candidate_name
-                ):
-                    parsed_agent_info.name = dataset.candidate_name
-                else:
-                    parsed_agent_info.name = _evals_common._DEFAULT_CANDIDATE_NAME
+        if agent_info and not inference_configs:
             parsed_user_simulator_config = (
                 evals_types.UserSimulatorConfig.model_validate(user_simulator_config)
                 if isinstance(user_simulator_config, dict)
@@ -3122,9 +3104,7 @@ def create_evaluation_run(
             if getattr(parsed_user_simulator_config, "max_turn", None) is None:
                 parsed_user_simulator_config.max_turn = 5
 
-            candidate_name = (
-                parsed_agent_info.name or _evals_common._DEFAULT_CANDIDATE_NAME
-            )
+            candidate_name = parsed_agent_info.name or "candidate-1"
             if agent and _evals_common._is_gemini_agent_resource(agent):
                 agent_run_config = types.AgentRunConfig(
                     gemini_agent_config=types.GeminiAgentConfig(gemini_agent=agent),
@@ -5183,25 +5163,7 @@ async def create_evaluation_run(
         if isinstance(config, dict):
             config = types.CreateEvaluationRunConfig.model_validate(config)
 
-        # Auto-construct inference_configs when agent_info is explicitly
-        # provided (existing behavior) OR an agent resource is provided
-        # (allows omitting agent_info for both Gemini Agents and Agent
-        # Engine). The server skips inference per-item when a
-        # CandidateResponse with a matching candidate name already exists,
-        # so it is safe to always send inference_configs.
-        _should_auto_infer = not inference_configs and (agent_info or agent)
-        if _should_auto_infer:
-            if not parsed_agent_info.name:
-                # Prefer the dataset's candidate_name (set by run_inference)
-                # so the inference_configs key matches the CandidateResponse
-                # and the server correctly skips already-completed items.
-                if (
-                    isinstance(dataset, types.EvaluationDataset)
-                    and dataset.candidate_name
-                ):
-                    parsed_agent_info.name = dataset.candidate_name
-                else:
-                    parsed_agent_info.name = _evals_common._DEFAULT_CANDIDATE_NAME
+        if agent_info and not inference_configs:
             parsed_user_simulator_config = (
                 evals_types.UserSimulatorConfig.model_validate(user_simulator_config)
                 if isinstance(user_simulator_config, dict)
@@ -5210,9 +5172,7 @@ async def create_evaluation_run(
             if getattr(parsed_user_simulator_config, "max_turn", None) is None:
                 parsed_user_simulator_config.max_turn = 5
 
-            candidate_name = (
-                parsed_agent_info.name or _evals_common._DEFAULT_CANDIDATE_NAME
-            )
+            candidate_name = parsed_agent_info.name or "candidate-1"
             if agent and _evals_common._is_gemini_agent_resource(agent):
                 agent_run_config = types.AgentRunConfig(
                     gemini_agent_config=types.GeminiAgentConfig(gemini_agent=agent),