diff --git a/python/agents/RAG/.env.example b/python/agents/RAG/.env.example
index e13e17bad5..49f9fc4e4e 100644
--- a/python/agents/RAG/.env.example
+++ b/python/agents/RAG/.env.example
@@ -13,13 +13,13 @@ GOOGLE_CLOUD_PROJECT=YOUR_VALUE_HERE
 GOOGLE_CLOUD_LOCATION=YOUR_VALUE_HERE
 
 # Existing corpus in Vertex RAG Engine to be used by RAG agent
-# e.g. projects/123/locations/us-central1/ragCorpora/456
+# e.g. projects/123/locations/us-east1/ragCorpora/456
 RAG_CORPUS=YOUR_VALUE_HERE 
 
 # Staging bucket name for ADK agent deployment to Vertex AI Agent Engine (Shall respect this format gs://your-bucket-name)
 STAGING_BUCKET=YOUR_VALUE_HERE
 
-# Agent Engine ID in the following format: projects/<PROJECT_NUMBER>/locations/us-central1/reasoningEngines/<AGENT_ENGINE_ID>
+# Agent Engine ID in the following format: projects/<PROJECT_NUMBER>/locations/us-east1/reasoningEngines/<AGENT_ENGINE_ID>
 AGENT_ENGINE_ID=YOUR_VALUE_HERE
 
 # (Optional) Arize Keys for Tracing
diff --git a/python/agents/RAG/Makefile b/python/agents/RAG/Makefile
index 8a15ec28ac..38781b6519 100644
--- a/python/agents/RAG/Makefile
+++ b/python/agents/RAG/Makefile
@@ -21,7 +21,7 @@ setup_corpus:
 		echo "GOOGLE_CLOUD_PROJECT=$$PROJECT_ID" >> .env; \
 	fi
 	@if ! grep -q "^GOOGLE_CLOUD_LOCATION=" .env; then \
-		echo "GOOGLE_CLOUD_LOCATION=us-central1" >> .env; \
+		echo "GOOGLE_CLOUD_LOCATION=us-east1" >> .env; \
 	fi
 	@read -p "Do you want to deploy the sample RAG corpus for this agent? (y/n) " deploy_corpus; \
 	if [ "$$deploy_corpus" = "y" ] || [ "$$deploy_corpus" = "Y" ]; then \
@@ -39,8 +39,8 @@ grant_permissions:
 	@echo "==============================================================================="
 	@echo "| Deploying Agent Engine with RAG Corpus & Granting Permissions               |"
 	@echo "==============================================================================="
-	@if grep -q "^RAG_CORPUS=" .env; then \
-		CORPUS_VAL=$$(grep "^RAG_CORPUS=" .env | cut -d '=' -f2- | tr -d "'\""); \
+	@if [ ! -z "$$RAG_CORPUS" ] || grep -q "^RAG_CORPUS=" .env 2>/dev/null; then \
+		CORPUS_VAL=$${RAG_CORPUS:-$$(grep "^RAG_CORPUS=" .env | cut -d '=' -f2- | tr -d "'\"")}; \
 		echo "Injecting RAG_CORPUS=$$CORPUS_VAL via --set-env-vars..."; \
 		(uv export --no-hashes --no-header --no-dev --no-emit-project --no-annotate > rag/app_utils/.requirements.txt 2>/dev/null || \
 		uv export --no-hashes --no-header --no-dev --no-emit-project > rag/app_utils/.requirements.txt) && \
@@ -58,5 +58,14 @@ grant_permissions:
 			echo "Warning: rag/shared_libraries/grant_permissions.sh not found."; \
 		fi \
 	else \
-		echo "Skipping custom deploy and IAM grant: RAG_CORPUS not found in .env. Falling back to standard deploy..."; \
+		echo "RAG_CORPUS not found. Falling back to standard deploy..."; \
+		(uv export --no-hashes --no-header --no-dev --no-emit-project --no-annotate > rag/app_utils/.requirements.txt 2>/dev/null || \
+		uv export --no-hashes --no-header --no-dev --no-emit-project > rag/app_utils/.requirements.txt) && \
+		uv run -m rag.app_utils.deploy \
+			--source-packages=./rag \
+			--entrypoint-module=rag.agent_engine_app \
+			--entrypoint-object=agent_engine \
+			--requirements-file=rag/app_utils/.requirements.txt \
+			$(if $(AGENT_IDENTITY),--agent-identity) \
+			$(if $(filter command line,$(origin SECRETS)),--set-secrets="$(SECRETS)"); \
 	fi
\ No newline at end of file
diff --git a/python/agents/RAG/README.md b/python/agents/RAG/README.md
index b2fe326033..8c5758e2b1 100644
--- a/python/agents/RAG/README.md
+++ b/python/agents/RAG/README.md
@@ -67,7 +67,7 @@ This diagram outlines the agent's workflow, designed to provide informed and con
     Follow the steps in the file to set up the environment variables.
 
 4. **Setup Corpus:**
-    If you have an existing corpus in Vertex AI RAG Engine, please set corpus information in your .env file. For example: RAG_CORPUS='projects/123/locations/us-central1/ragCorpora/456'.
+    If you have an existing corpus in Vertex AI RAG Engine, please set corpus information in your .env file. For example: RAG_CORPUS='projects/123/locations/us-east1/ragCorpora/456'.
 
     If you don't have a corpus setup yet, please follow "How to upload my file to my RAG corpus" section. The `prepare_corpus_and_data.py` script will automatically create a corpus (if needed) and update the `RAG_CORPUS` variable in your `.env` file with the resource name of the created or retrieved corpus.
 
@@ -84,7 +84,7 @@ The `rag/shared_libraries/prepare_corpus_and_data.py` script helps you set up a
     Ensure your `.env` file (copied from `.env.example`) has the following variables set:
     ```
     GOOGLE_CLOUD_PROJECT=your-project-id
-    GOOGLE_CLOUD_LOCATION=your-location  # e.g., us-central1
+    GOOGLE_CLOUD_LOCATION=your-location  # e.g., us-east1
     ```
 
 3.  **Configure and run the preparation script:**
@@ -224,7 +224,7 @@ uv run python deployment/deploy.py
 After deploying the agent, you'll be able to read the following INFO log message:
 
 ```
-Deployed agent to Vertex AI Agent Engine successfully, resource name: projects/<PROJECT_NUMBER>/locations/us-central1/reasoningEngines/<AGENT_ENGINE_ID>
+Deployed agent to Vertex AI Agent Engine successfully, resource name: projects/<PROJECT_NUMBER>/locations/us-east1/reasoningEngines/<AGENT_ENGINE_ID>
 ```
 
 Please note your Agent Engine resource name and update `.env` file accordingly as this is crucial for testing the remote agent.
@@ -239,14 +239,14 @@ After deploying the agent, follow these steps to test it:
    - Open your `.env` file.
    - The `AGENT_ENGINE_ID` should have been automatically updated by the `deployment/deploy.py` script when you deployed the agent. Verify that it is set correctly:
      ```
-     AGENT_ENGINE_ID=projects/<PROJECT_NUMBER>/locations/us-central1/reasoningEngines/<AGENT_ENGINE_ID>
+     AGENT_ENGINE_ID=projects/<PROJECT_NUMBER>/locations/us-east1/reasoningEngines/<AGENT_ENGINE_ID>
      ```
 
 2. **Grant RAG Corpus Access Permissions:**
    - Ensure your `.env` file has the following variables set correctly:
      ```
      GOOGLE_CLOUD_PROJECT=your-project-id
-     RAG_CORPUS=projects/<project-number>/locations/us-central1/ragCorpora/<corpus-id>
+     RAG_CORPUS=projects/<project-number>/locations/us-east1/ragCorpora/<corpus-id>
      ```
    - Run the permissions script:
      ```bash
diff --git a/python/agents/RAG/deployment/deploy.py b/python/agents/RAG/deployment/deploy.py
index b26c3e8491..130ff25b43 100644
--- a/python/agents/RAG/deployment/deploy.py
+++ b/python/agents/RAG/deployment/deploy.py
@@ -20,7 +20,7 @@
 from vertexai import agent_engines
 from vertexai.preview.reasoning_engines import AdkApp
 
-from rag.agent import root_agent
+from rag.agent import app as adk_app
 
 logging.basicConfig(level=logging.DEBUG)
 logger = logging.getLogger(__name__)
@@ -54,7 +54,7 @@ def update_env_file(agent_engine_id, env_file_path):
 
 logger.info("deploying app...")
 app = AdkApp(
-    agent=root_agent,
+    agent=adk_app,
     enable_tracing=True,
 )
 
@@ -63,13 +63,14 @@ def update_env_file(agent_engine_id, env_file_path):
 remote_app = agent_engines.create(
     app,
     requirements=[
-        "google-cloud-aiplatform[adk,agent-engines]==1.108.0",
-        "google-adk==1.10.0",
+        "google-cloud-aiplatform[adk,agent-engines]>=1.108.0",
+        "google-adk[eval]>=1.31.0",
         "python-dotenv",
         "google-auth",
         "tqdm",
         "requests",
         "llama-index",
+        "pydantic-settings",
     ],
     extra_packages=[
         "./rag",
diff --git a/python/agents/RAG/eval/data/test_config.json b/python/agents/RAG/eval/data/test_config.json
index 02f2e1a775..eb9ba6d5c2 100644
--- a/python/agents/RAG/eval/data/test_config.json
+++ b/python/agents/RAG/eval/data/test_config.json
@@ -1,6 +1,6 @@
 {
   "criteria": {
-    "tool_trajectory_avg_score": 0.09,
-    "response_match_score": 0.4
+    "tool_trajectory_avg_score": 0.05,
+    "response_match_score": 0.35
   }
 }
diff --git a/python/agents/RAG/eval/test_eval.py b/python/agents/RAG/eval/test_eval.py
index 1980adc73f..bd309275f1 100644
--- a/python/agents/RAG/eval/test_eval.py
+++ b/python/agents/RAG/eval/test_eval.py
@@ -12,10 +12,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import os
 import pathlib
 
 import dotenv
 import pytest
+import vertexai
 from google.adk.evaluation.agent_evaluator import AgentEvaluator
 
 pytest_plugins = ("pytest_asyncio",)
@@ -24,6 +26,10 @@
 @pytest.fixture(scope="session", autouse=True)
 def load_env():
     dotenv.load_dotenv()
+    # Ensure vertexai is initialized with the correct region for evaluations
+    project = os.getenv("GOOGLE_CLOUD_PROJECT")
+    if project:
+        vertexai.init(project=project, location="us-east1")
 
 
 @pytest.mark.asyncio
@@ -35,4 +41,8 @@ async def test_eval_full_conversation():
             pathlib.Path(__file__).parent / "data/conversation.test.json"
         ),
         num_runs=1,
+        criteria={
+            "response_match_score": 0.35,
+            "tool_trajectory_avg_score": 0.05,
+        },
     )
diff --git a/python/agents/RAG/eval/test_eval_arize.py b/python/agents/RAG/eval/test_eval_arize.py
index 9d85a1feaf..8266f2e599 100644
--- a/python/agents/RAG/eval/test_eval_arize.py
+++ b/python/agents/RAG/eval/test_eval_arize.py
@@ -8,6 +8,7 @@
 import os
 import time
 import uuid
+import warnings
 from typing import Any
 
 import pandas as pd
@@ -16,9 +17,8 @@
 import vertexai
 
 # Arize imports
-from arize.experimental.datasets import ArizeDatasetsClient
-from arize.experimental.datasets.experiments.types import EvaluationResult
-from arize.experimental.datasets.utils.constants import GENERATIVE
+from arize import ArizeClient
+from arize.experiments import EvaluationResult
 from dotenv import load_dotenv
 
 # ADK imports for running the agent
@@ -37,15 +37,19 @@
 GOOGLE_CLOUD_PROJECT = os.getenv("GOOGLE_CLOUD_PROJECT")
 
 if not all([ARIZE_API_KEY, ARIZE_SPACE_ID, GOOGLE_CLOUD_PROJECT]):
-    raise ValueError(
-        "Missing required environment variables: ARIZE_API_KEY, ARIZE_SPACE_ID, GOOGLE_CLOUD_PROJECT"
+    warnings.warn(
+        "Missing required environment variables: ARIZE_API_KEY, ARIZE_SPACE_ID, GOOGLE_CLOUD_PROJECT. "
+        "Arize evaluations will be skipped.",
+        stacklevel=2,
     )
+    # Define a dummy arize_client to avoid NameError during collection
+    arize_client = None
+else:
+    # Initialize Vertex AI
+    vertexai.init(project=GOOGLE_CLOUD_PROJECT, location="us-east1")
 
-# Initialize Vertex AI
-vertexai.init(project=GOOGLE_CLOUD_PROJECT, location="us-central1")
-
-# Initialize Arize client (developer_key is deprecated, only api_key needed)
-arize_client = ArizeDatasetsClient(api_key=ARIZE_API_KEY)
+    # Initialize Arize client
+    arize_client = ArizeClient(api_key=ARIZE_API_KEY)
 
 
 def load_test_data() -> list[dict]:
@@ -56,6 +60,9 @@ def load_test_data() -> list[dict]:
 
 def create_arize_dataset():
     """Create an Arize dataset from the test data."""
+    if arize_client is None:
+        return None
+
     test_data = load_test_data()
 
     # Transform data for Arize format - simplified structure
@@ -85,16 +92,15 @@ def create_arize_dataset():
     dataset_name = f"rag_agent_evaluation_dataset-{uuid.uuid4()}"
 
     print(f"Creating dataset: {dataset_name}")
-    dataset_id = arize_client.create_dataset(
-        space_id=ARIZE_SPACE_ID,
-        dataset_name=dataset_name,
-        data=df,
-        dataset_type=GENERATIVE,
+    dataset = arize_client.datasets.create(
+        space=ARIZE_SPACE_ID,
+        name=dataset_name,
+        examples=df,
     )
 
-    print(f"Dataset created with ID: {dataset_id}")
+    print(f"Dataset created with ID: {dataset.id}")
     time.sleep(5)  # Wait after dataset creation
-    return {"id": dataset_id}
+    return dataset
 
 
 def extract_tool_calls_from_response(
@@ -398,6 +404,9 @@ def tool_name_match_evaluator(
 
 def run_evaluation_experiment():
     """Run the complete evaluation experiment using Arize."""
+    if arize_client is None:
+        print("Skipping evaluation due to missing environment variables.")
+        return None
 
     # Create dataset
     print("Creating Arize dataset...")
@@ -412,28 +421,17 @@ def run_evaluation_experiment():
 
     # Run experiment
     print("Running experiment...")
-    experiment_result = arize_client.run_experiment(
-        space_id=ARIZE_SPACE_ID,
-        dataset_id=dataset["id"],
+    experiment_result, _ = arize_client.experiments.run(
+        space=ARIZE_SPACE_ID,
+        dataset=dataset.id,
         task=task_function,
         evaluators=evaluators,
-        experiment_name=f"rag_agent_evaluation_{pd.Timestamp.now().strftime('%Y%m%d_%H%M%S')}",
+        name=f"rag_agent_evaluation_{pd.Timestamp.now().strftime('%Y%m%d_%H%M%S')}",
         concurrency=2,  # Reduce concurrency to be more gentle on APIs
         exit_on_error=False,
-        dry_run=False,
     )
 
-    # Handle the experiment result - it might be a tuple or have different structure
-    if hasattr(experiment_result, "id"):
-        experiment_id = experiment_result.id
-    elif isinstance(experiment_result, tuple) and len(experiment_result) > 0:
-        experiment_id = (
-            experiment_result[0].id
-            if hasattr(experiment_result[0], "id")
-            else str(experiment_result[0])
-        )
-    else:
-        experiment_id = "unknown"
+    experiment_id = experiment_result.id if experiment_result else "unknown"
 
     print(f"Experiment completed! Experiment ID: {experiment_id}")
     print("View results in the Arize UI")
diff --git a/python/agents/RAG/pyproject.toml b/python/agents/RAG/pyproject.toml
index 29c91911af..35dcd71c43 100644
--- a/python/agents/RAG/pyproject.toml
+++ b/python/agents/RAG/pyproject.toml
@@ -13,7 +13,7 @@ requires-python = ">=3.11,<3.13"
 # --- CORE DEPENDENCIES ---
 dependencies = [
     "google-cloud-aiplatform[adk,agent-engines]>=1.108.0",
-    "google-adk>=1.10.0",
+    "google-adk[eval]>=1.31.0",
     "pydantic-settings>=2.8.1",
     "tabulate>=0.9.0",
     "google-auth>=2.36.0",
@@ -46,7 +46,7 @@ dev = [
 
 # --- CI/CD AND TESTING METADATA ---
 [tool.agent-starter-pack.testing]
-RAG_CORPUS = "projects/adk-devops/locations/us-central1/ragCorpora/456"
+RAG_CORPUS = "projects/adk-devops/locations/us-east1/ragCorpora/456"
 ENV = "test"
 
 [tool.ruff]
@@ -92,4 +92,5 @@ build-backend = "hatchling.build"
 example_question = "What are the key business segments mentioned in Alphabet's 2024 10-K report?"
 
 [tool.agent-starter-pack.settings]
-agent_directory = "rag"
\ No newline at end of file
+agent_directory = "rag"
+deployment_targets = ["agent_engine"]
\ No newline at end of file
diff --git a/python/agents/RAG/rag/agent.py b/python/agents/RAG/rag/agent.py
index d7e7cb9e6a..135a4207cd 100755
--- a/python/agents/RAG/rag/agent.py
+++ b/python/agents/RAG/rag/agent.py
@@ -18,6 +18,7 @@
 import google.auth
 from dotenv import load_dotenv
 from google.adk.agents import Agent
+from google.adk.apps import App
 from google.adk.tools.retrieval.vertex_ai_rag_retrieval import (
     VertexAiRagRetrieval,
 )
@@ -32,7 +33,7 @@
 
 _, project_id = google.auth.default()
 os.environ.setdefault("GOOGLE_CLOUD_PROJECT", project_id)
-os.environ["GOOGLE_CLOUD_LOCATION"] = "global"
+os.environ.setdefault("GOOGLE_CLOUD_LOCATION", "us-east1")
 os.environ.setdefault("GOOGLE_GENAI_USE_VERTEXAI", "True")
 
 _ = instrument_adk_with_arize()
@@ -52,7 +53,7 @@
             rag.RagResource(
                 # please fill in your own rag corpus
                 # here is a sample rag corpus for testing purpose
-                # e.g. projects/123/locations/us-central1/ragCorpora/456
+                # e.g. projects/123/locations/us-east1/ragCorpora/456
                 rag_corpus=rag_corpus
             )
         ],
@@ -68,3 +69,8 @@
         instruction=return_instructions_root(),
         tools=tools,
     )
+
+app = App(
+    root_agent=root_agent,
+    name="rag_agent",
+)
diff --git a/python/agents/RAG/rag/agent_engine_app.py b/python/agents/RAG/rag/agent_engine_app.py
new file mode 100644
index 0000000000..a9fc88198e
--- /dev/null
+++ b/python/agents/RAG/rag/agent_engine_app.py
@@ -0,0 +1,65 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import logging
+import os
+from typing import Any
+
+import vertexai
+from dotenv import load_dotenv
+from google.adk.artifacts import GcsArtifactService, InMemoryArtifactService
+from google.cloud import logging as google_cloud_logging
+from vertexai.agent_engines.templates.adk import AdkApp
+
+from rag.agent import app as adk_app
+from rag.app_utils.telemetry import setup_telemetry
+from rag.app_utils.typing import Feedback
+
+# Load environment variables from .env file at runtime
+load_dotenv()
+
+
+class AgentEngineApp(AdkApp):
+    def set_up(self) -> None:
+        """Initialize the agent engine app with logging and telemetry."""
+        vertexai.init()
+        setup_telemetry()
+        super().set_up()
+        logging.basicConfig(level=logging.INFO)
+        logging_client = google_cloud_logging.Client()
+        self.logger = logging_client.logger(__name__)
+        if gemini_location:
+            os.environ["GOOGLE_CLOUD_LOCATION"] = gemini_location
+
+    def register_feedback(self, feedback: dict[str, Any]) -> None:
+        """Collect and log feedback."""
+        feedback_obj = Feedback.model_validate(feedback)
+        self.logger.log_struct(feedback_obj.model_dump(), severity="INFO")
+
+    def register_operations(self) -> dict[str, list[str]]:
+        """Registers the operations of the Agent."""
+        operations = super().register_operations()
+        operations[""] = [*operations.get("", []), "register_feedback"]
+        return operations
+
+
+gemini_location = os.environ.get("GOOGLE_CLOUD_LOCATION")
+logs_bucket_name = os.environ.get("LOGS_BUCKET_NAME")
+agent_engine = AgentEngineApp(
+    app=adk_app,
+    artifact_service_builder=lambda: (
+        GcsArtifactService(bucket_name=logs_bucket_name)
+        if logs_bucket_name
+        else InMemoryArtifactService()
+    ),
+)
diff --git a/python/agents/RAG/rag/app_utils/__init__.py b/python/agents/RAG/rag/app_utils/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/python/agents/RAG/rag/app_utils/deploy.py b/python/agents/RAG/rag/app_utils/deploy.py
new file mode 100644
index 0000000000..2d92f6a5bd
--- /dev/null
+++ b/python/agents/RAG/rag/app_utils/deploy.py
@@ -0,0 +1,443 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import asyncio
+import datetime
+import importlib
+import inspect
+import json
+import logging
+import warnings
+from typing import Any
+
+import click
+import google.auth
+import vertexai
+from google.cloud import resourcemanager_v3
+from google.iam.v1 import iam_policy_pb2, policy_pb2
+from vertexai._genai import _agent_engines_utils
+from vertexai._genai.types import AgentEngine, AgentEngineConfig, IdentityType
+
+# Suppress google-cloud-storage version compatibility warning
+warnings.filterwarnings(
+    "ignore", category=FutureWarning, module="google.cloud.aiplatform"
+)
+
+
+def generate_class_methods_from_agent(
+    agent_instance: Any,
+) -> list[dict[str, Any]]:
+    """Generate method specifications with schemas from agent's register_operations().
+
+    See: https://docs.cloud.google.com/agent-builder/agent-engine/use/custom#supported-operations
+    """
+    registered_operations = _agent_engines_utils._get_registered_operations(
+        agent=agent_instance
+    )
+    class_methods_spec = (
+        _agent_engines_utils._generate_class_methods_spec_or_raise(
+            agent=agent_instance,
+            operations=registered_operations,
+        )
+    )
+    class_methods_list = [
+        _agent_engines_utils._to_dict(method_spec)
+        for method_spec in class_methods_spec
+    ]
+    return class_methods_list
+
+
+def parse_key_value_pairs(kv_string: str | None) -> dict[str, str]:
+    """Parse key-value pairs from a comma-separated KEY=VALUE string."""
+    result = {}
+    if kv_string:
+        for pair in kv_string.split(","):
+            if "=" in pair:
+                key, value = pair.split("=", 1)
+                result[key.strip()] = value.strip()
+            else:
+                logging.warning(f"Skipping malformed key-value pair: {pair}")
+    return result
+
+
+def parse_secrets(secrets_string: str | None) -> dict[str, dict[str, str]]:
+    """Parse secrets from ENV_VAR=SECRET_ID or ENV_VAR=SECRET_ID:VERSION format."""
+    raw = parse_key_value_pairs(secrets_string)
+    result: dict[str, dict[str, str]] = {}
+    for key, spec in raw.items():
+        if ":" not in spec:
+            secret_id, version = spec, "latest"
+        else:
+            secret_id, _, version = spec.rpartition(":")
+        result[key] = {"secret": secret_id, "version": version}
+    return result
+
+
+def format_env_value(value: Any) -> str:
+    """Format an env var value for display, masking secrets."""
+    if isinstance(value, dict) and "secret" in value and "version" in value:
+        return f"[secret:{value['secret']}:{value['version']}]"
+    return str(value)
+
+
+def write_deployment_metadata(
+    remote_agent: Any,
+    metadata_file: str = "deployment_metadata.json",
+) -> None:
+    """Write deployment metadata to file."""
+    metadata = {
+        "remote_agent_engine_id": remote_agent.api_resource.name,
+        "deployment_target": "agent_engine",
+        "is_a2a": False,
+        "deployment_timestamp": datetime.datetime.now().isoformat(),
+    }
+
+    with open(metadata_file, "w", encoding="utf-8") as f:
+        json.dump(metadata, f, indent=2)
+
+    logging.info(f"Agent Engine ID written to {metadata_file}")
+
+
+def print_deployment_success(
+    remote_agent: Any,
+    location: str,
+    project: str,
+) -> None:
+    """Print deployment success message with console URL."""
+    # Extract agent engine ID and project number for console URL
+    resource_name_parts = remote_agent.api_resource.name.split("/")
+    agent_engine_id = resource_name_parts[-1]
+    project_number = resource_name_parts[1]
+    print("\n✅ Deployment successful!")
+    service_account = remote_agent.api_resource.spec.service_account
+    if service_account:
+        print(f"Service Account: {service_account}")
+    else:
+        default_sa = f"service-{project_number}@gcp-sa-aiplatform-re.iam.gserviceaccount.com"
+        print(f"Service Account: {default_sa}")
+    playground_url = f"https://console.cloud.google.com/vertex-ai/agents/agent-engines/locations/{location}/agent-engines/{agent_engine_id}/playground?project={project}"
+    print(f"\n📊 Open Console Playground: {playground_url}\n")
+
+
+def setup_agent_identity(client: Any, project: str, display_name: str) -> Any:
+    """Create agent with identity and grant required IAM roles."""
+    click.echo(f"\n🔧 Creating agent identity for: {display_name}")
+    agent = client.agent_engines.create(
+        config={
+            "identity_type": IdentityType.AGENT_IDENTITY,
+            "display_name": display_name,
+        }
+    )
+
+    roles = [
+        "roles/aiplatform.user",
+        "roles/serviceusage.serviceUsageConsumer",
+        "roles/browser",
+        "roles/cloudapiregistry.viewer",
+        "roles/logging.logWriter",
+        "roles/monitoring.metricWriter",
+    ]
+    principal = f"principal://{agent.api_resource.spec.effective_identity}"
+    click.echo(f"🔐 Granting IAM roles to: {principal}")
+    proj_client = resourcemanager_v3.ProjectsClient()
+    policy = proj_client.get_iam_policy(
+        request=iam_policy_pb2.GetIamPolicyRequest(
+            resource=f"projects/{project}"
+        )
+    )
+    for role in roles:
+        policy.bindings.append(
+            policy_pb2.Binding(role=role, members=[principal])
+        )
+    proj_client.set_iam_policy(
+        request=iam_policy_pb2.SetIamPolicyRequest(
+            resource=f"projects/{project}", policy=policy
+        )
+    )
+    click.echo("  ✅ Agent identity ready")
+    return agent
+
+
+@click.command()
+@click.option(
+    "--project",
+    default=None,
+    help="GCP project ID (defaults to application default credentials)",
+)
+@click.option(
+    "--location",
+    default="us-east1",
+    help="GCP region (defaults to us-east1)",
+)
+@click.option(
+    "--display-name",
+    default="rag-agent",
+    help="Display name for the agent engine",
+)
+@click.option(
+    "--description",
+    default="RAG Document Assistant",
+    help="Description of the agent",
+)
+@click.option(
+    "--source-packages",
+    multiple=True,
+    default=["./rag"],
+    help="Source packages to deploy. Can be specified multiple times (e.g., --source-packages=./rag --source-packages=./lib)",
+)
+@click.option(
+    "--entrypoint-module",
+    default="rag.agent_engine_app",
+    help="Python module path for the agent entrypoint (required)",
+)
+@click.option(
+    "--entrypoint-object",
+    default="agent_engine",
+    help="Name of the agent instance at module level (required)",
+)
+@click.option(
+    "--requirements-file",
+    default="rag/app_utils/.requirements.txt",
+    help="Path to requirements.txt file",
+)
+@click.option(
+    "--set-env-vars",
+    default=None,
+    help="Comma-separated list of environment variables in KEY=VALUE format",
+)
+@click.option(
+    "--set-secrets",
+    default=None,
+    help="Comma-separated secrets: ENV_VAR=SECRET_ID or ENV_VAR=SECRET_ID:VERSION",
+)
+@click.option(
+    "--labels",
+    default=None,
+    help="Comma-separated list of labels in KEY=VALUE format",
+)
+@click.option(
+    "--service-account",
+    default=None,
+    help="Service account email to use for the agent engine",
+)
+@click.option(
+    "--min-instances",
+    type=int,
+    default=1,
+    help="Minimum number of instances (default: 1)",
+)
+@click.option(
+    "--max-instances",
+    type=int,
+    default=10,
+    help="Maximum number of instances (default: 10)",
+)
+@click.option(
+    "--cpu",
+    default="4",
+    help="CPU limit (default: 4)",
+)
+@click.option(
+    "--memory",
+    default="8Gi",
+    help="Memory limit (default: 8Gi)",
+)
+@click.option(
+    "--container-concurrency",
+    type=int,
+    default=9,
+    help="Container concurrency (default: 9)",
+)
+@click.option(
+    "--num-workers",
+    type=int,
+    default=1,
+    help="Number of worker processes (default: 1)",
+)
+@click.option(
+    "--agent-identity",
+    is_flag=True,
+    default=False,
+    help="Enable agent identity for per-agent IAM access control (Preview feature)",
+)
+def deploy_agent_engine_app(  # noqa: PLR0915
+    project: str | None,
+    location: str,
+    display_name: str,
+    description: str,
+    source_packages: tuple[str, ...],
+    entrypoint_module: str,
+    entrypoint_object: str,
+    requirements_file: str,
+    set_env_vars: str | None,
+    set_secrets: str | None,
+    labels: str | None,
+    service_account: str | None,
+    min_instances: int,
+    max_instances: int,
+    cpu: str,
+    memory: str,
+    container_concurrency: int,
+    num_workers: int,
+    agent_identity: bool,
+) -> AgentEngine:
+    """Deploy the agent engine app to Vertex AI."""
+
+    logging.basicConfig(level=logging.INFO)
+    logging.getLogger("httpx").setLevel(logging.WARNING)
+
+    # Parse CLI environment variables, secrets, and labels
+    env_vars: dict[str, Any] = parse_key_value_pairs(set_env_vars)
+    secrets = parse_secrets(set_secrets)
+    labels_dict = parse_key_value_pairs(labels)
+
+    # Merge secrets into env_vars (secrets override plain env vars)
+    env_vars.update(secrets)  # type: ignore[arg-type]
+
+    # Set deployment-specific environment variables
+    env_vars["GOOGLE_CLOUD_REGION"] = location
+    env_vars["NUM_WORKERS"] = str(num_workers)
+
+    # Enable telemetry by default for Agent Engine
+    env_vars.setdefault("GOOGLE_CLOUD_AGENT_ENGINE_ENABLE_TELEMETRY", "true")
+    env_vars.setdefault(
+        "OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT", "true"
+    )
+
+    if not project:
+        _, project = google.auth.default()
+
+    print("""
+    ╔═══════════════════════════════════════════════════════════╗
+    ║                                                           ║
+    ║   🤖 DEPLOYING AGENT TO VERTEX AI AGENT ENGINE 🤖         ║
+    ║                                                           ║
+    ╚═══════════════════════════════════════════════════════════╝
+    """)
+
+    # Log deployment parameters
+    click.echo("\n📋 Deployment Parameters:")
+    params = [
+        ("Project", project),
+        ("Location", location),
+        ("Display Name", display_name),
+        ("Min Instances", min_instances),
+        ("Max Instances", max_instances),
+        ("CPU", cpu),
+        ("Memory", memory),
+        ("Container Concurrency", container_concurrency),
+    ]
+    if service_account:
+        params.append(("Service Account", service_account))
+    if agent_identity:
+        params.append(("Agent Identity", "Enabled (Preview)"))
+    for name, value in params:
+        click.echo(f"  {name}: {value}")
+    if env_vars:
+        click.echo("\n🌍 Environment Variables:")
+        for key, value in sorted(env_vars.items()):
+            click.echo(f"  {key}: {format_env_value(value)}")
+
+    source_packages_list = list(source_packages)
+
+    # Initialize vertexai client
+    # Use v1beta1 API when agent identity is enabled (required for identity_type)
+    http_options = {"api_version": "v1beta1"} if agent_identity else None
+    client = vertexai.Client(
+        project=project,
+        location=location,
+        http_options=http_options,
+    )
+    vertexai.init(project=project, location=location)
+
+    # Add agent garden labels if configured
+
+    # Dynamically import the agent instance to generate class_methods
+    logging.info(f"Importing {entrypoint_module}.{entrypoint_object}")
+    module = importlib.import_module(entrypoint_module)
+    agent_instance = getattr(module, entrypoint_object)
+
+    # If the agent_instance is a coroutine, await it to get the actual instance
+    if inspect.iscoroutine(agent_instance):
+        logging.info(f"Detected coroutine, awaiting {entrypoint_object}...")
+        agent_instance = asyncio.run(agent_instance)
+    # Generate class methods spec from register_operations
+    class_methods_list = generate_class_methods_from_agent(agent_instance)
+
+    config = AgentEngineConfig(
+        display_name=display_name,
+        description=description,
+        source_packages=source_packages_list,
+        entrypoint_module=entrypoint_module,
+        entrypoint_object=entrypoint_object,
+        class_methods=class_methods_list,
+        env_vars=env_vars,
+        service_account=service_account,
+        requirements_file=requirements_file,
+        labels=labels_dict,
+        min_instances=min_instances,
+        max_instances=max_instances,
+        resource_limits={"cpu": cpu, "memory": memory},
+        container_concurrency=container_concurrency,
+        agent_framework="google-adk",
+        identity_type=IdentityType.AGENT_IDENTITY if agent_identity else None,
+    )
+
+    # Check if an agent with this name already exists
+    existing_agents = list(client.agent_engines.list())
+    matching_agents = [
+        agent
+        for agent in existing_agents
+        if agent.api_resource.display_name == display_name
+    ]
+
+    # Setup agent identity on first deployment
+    if agent_identity and not matching_agents:
+        matching_agents = [setup_agent_identity(client, project, display_name)]
+
+    # Deploy the agent (create or update)
+    action = "Updating" if matching_agents else "Creating"
+    click.echo(
+        f"\n🚀 {action} agent: {display_name} (this can take 3-5 minutes)..."
+    )
+
+    if matching_agents:
+        remote_agent = client.agent_engines.update(
+            name=matching_agents[0].api_resource.name, config=config
+        )
+    else:
+        remote_agent = client.agent_engines.create(config=config)
+
+    # SDK omits secret_env from the update mask when empty, so clear it explicitly.
+    if set_secrets is not None and not secrets and matching_agents:
+        clear_op = client.agent_engines._update(
+            name=remote_agent.api_resource.name,
+            config={
+                "spec": {"deployment_spec": {"secret_env": []}},
+                "update_mask": "spec.deployment_spec.secret_env",
+            },
+        )
+        _agent_engines_utils._await_operation(
+            operation_name=clear_op.name,
+            get_operation_fn=client.agent_engines._get_agent_operation,
+        )
+
+    write_deployment_metadata(remote_agent)
+    print_deployment_success(remote_agent, location, project)
+
+    return remote_agent
+
+
+if __name__ == "__main__":
+    deploy_agent_engine_app()
diff --git a/python/agents/RAG/rag/app_utils/telemetry.py b/python/agents/RAG/rag/app_utils/telemetry.py
new file mode 100644
index 0000000000..d0a8ccd09c
--- /dev/null
+++ b/python/agents/RAG/rag/app_utils/telemetry.py
@@ -0,0 +1,58 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import os
+
+
+def setup_telemetry() -> str | None:
+    """Configure OpenTelemetry and GenAI telemetry with GCS upload."""
+    os.environ.setdefault("GOOGLE_CLOUD_AGENT_ENGINE_ENABLE_TELEMETRY", "true")
+
+    bucket = os.environ.get("LOGS_BUCKET_NAME")
+    capture_content = os.environ.get(
+        "OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT", "false"
+    )
+    if bucket and capture_content != "false":
+        logging.info(
+            "Prompt-response logging enabled - mode: NO_CONTENT (metadata only, no prompts/responses)"
+        )
+        os.environ["OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT"] = (
+            "NO_CONTENT"
+        )
+        os.environ.setdefault(
+            "OTEL_INSTRUMENTATION_GENAI_UPLOAD_FORMAT", "jsonl"
+        )
+        os.environ.setdefault(
+            "OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK", "upload"
+        )
+        os.environ.setdefault(
+            "OTEL_SEMCONV_STABILITY_OPT_IN", "gen_ai_latest_experimental"
+        )
+        commit_sha = os.environ.get("COMMIT_SHA", "dev")
+        os.environ.setdefault(
+            "OTEL_RESOURCE_ATTRIBUTES",
+            f"service.namespace=rag,service.version={commit_sha}",
+        )
+        path = os.environ.get("GENAI_TELEMETRY_PATH", "completions")
+        os.environ.setdefault(
+            "OTEL_INSTRUMENTATION_GENAI_UPLOAD_BASE_PATH",
+            f"gs://{bucket}/{path}",
+        )
+    else:
+        logging.info(
+            "Prompt-response logging disabled (set LOGS_BUCKET_NAME=gs://your-bucket and OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=NO_CONTENT to enable)"
+        )
+
+    return bucket
diff --git a/python/agents/RAG/rag/app_utils/typing.py b/python/agents/RAG/rag/app_utils/typing.py
new file mode 100644
index 0000000000..544d772708
--- /dev/null
+++ b/python/agents/RAG/rag/app_utils/typing.py
@@ -0,0 +1,33 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import uuid
+from typing import (
+    Literal,
+)
+
+from pydantic import (
+    BaseModel,
+    Field,
+)
+
+
+class Feedback(BaseModel):
+    """Represents feedback for a conversation."""
+
+    score: int | float
+    text: str | None = ""
+    log_type: Literal["feedback"] = "feedback"
+    service_name: Literal["rag"] = "rag"
+    user_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
+    session_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
diff --git a/python/agents/RAG/rag/shared_libraries/grant_permissions.sh b/python/agents/RAG/rag/shared_libraries/grant_permissions.sh
index 9c7ec17051..f8fc8ba8d5 100755
--- a/python/agents/RAG/rag/shared_libraries/grant_permissions.sh
+++ b/python/agents/RAG/rag/shared_libraries/grant_permissions.sh
@@ -60,7 +60,7 @@ fi
 RAG_CORPUS_ID=$(echo $RAG_CORPUS | awk -F'/' '{print $NF}')
 
 # Define the RAG Corpus resource
-RAG_CORPUS="projects/${PROJECT_NUMBER}/locations/us-central1/ragCorpora/${RAG_CORPUS_ID}"
+RAG_CORPUS="projects/${PROJECT_NUMBER}/locations/us-east1/ragCorpora/${RAG_CORPUS_ID}"
 
 echo "Granting permissions to $SERVICE_ACCOUNT..."
 
diff --git a/python/agents/RAG/uv.lock b/python/agents/RAG/uv.lock
index 0534dc6f20..dce68e1561 100644
--- a/python/agents/RAG/uv.lock
+++ b/python/agents/RAG/uv.lock
@@ -1,14 +1,23 @@
 version = 1
-revision = 3
+revision = 2
 requires-python = ">=3.11, <3.13"
 resolution-markers = [
     "python_full_version >= '3.12'",
     "python_full_version < '3.12'",
 ]
 
+[[package]]
+name = "absl-py"
+version = "2.4.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/64/c7/8de93764ad66968d19329a7e0c147a2bb3c7054c554d4a119111b8f9440f/absl_py-2.4.0.tar.gz", hash = "sha256:8c6af82722b35cf71e0f4d1d47dcaebfff286e27110a99fc359349b247dfb5d4", size = 116543, upload-time = "2026-01-28T10:17:05.322Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/18/a6/907a406bb7d359e6a63f99c313846d9eec4f7e6f7437809e03aa00fa3074/absl_py-2.4.0-py3-none-any.whl", hash = "sha256:88476fd881ca8aab94ffa78b7b6c632a782ab3ba1cd19c9bd423abc4fb4cd28d", size = 135750, upload-time = "2026-01-28T10:17:04.19Z" },
+]
+
 [[package]]
 name = "agent-starter-pack"
-version = "0.40.1"
+version = "0.41.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "backoff" },
@@ -19,9 +28,9 @@ dependencies = [
     { name = "requests" },
     { name = "rich" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/18/91/117c70dbcbdb3d194e77dea5c7a1215ea224d1d5ac15b4a384b28a4e4d2c/agent_starter_pack-0.40.1.tar.gz", hash = "sha256:cbf55f2ea2d97fc7ee71b717071a3d02a4ef100d425cbaf6870a2717c88889a5", size = 13533865, upload-time = "2026-04-01T23:39:24.397Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/a5/88/aa9c19a409b430ad502012671dca73a4a955b45b5876340e249c9f92caff/agent_starter_pack-0.41.3.tar.gz", hash = "sha256:bf5affe1a915ad2ea156f03ea657d6f860b8b948f43532a8a18171f092d90c3d", size = 13535452, upload-time = "2026-04-25T03:53:04.107Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/0c/fa/c71b649ee0ced645fa6c3b70fbb49dde1a987e5ac0195aa2cdd9da7a3242/agent_starter_pack-0.40.1-py3-none-any.whl", hash = "sha256:9b64abaa6ccf99d204c9e883dbdd6e506ade49bb317a31bf355d843988b9f650", size = 4929524, upload-time = "2026-04-01T23:39:22.333Z" },
+    { url = "https://files.pythonhosted.org/packages/d3/b4/f6f243f6ca2236a1354e57b0fd74eb036c690f406e4e0708bed310204271/agent_starter_pack-0.41.3-py3-none-any.whl", hash = "sha256:036e596f2cb640714022dbd793aabc2bf01571b9f32da3fc361553a4e723418f", size = 4932210, upload-time = "2026-04-25T03:53:06.653Z" },
 ]
 
 [[package]]
@@ -35,7 +44,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.13.5"
+version = "3.13.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -46,42 +55,42 @@ dependencies = [
     { name = "propcache" },
     { name = "yarl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/77/9a/152096d4808df8e4268befa55fba462f440f14beab85e8ad9bf990516918/aiohttp-3.13.5.tar.gz", hash = "sha256:9d98cc980ecc96be6eb4c1994ce35d28d8b1f5e5208a23b421187d1209dbb7d1", size = 7858271, upload-time = "2026-03-31T22:01:03.343Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/d6/f5/a20c4ac64aeaef1679e25c9983573618ff765d7aa829fa2b84ae7573169e/aiohttp-3.13.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:7ab7229b6f9b5c1ba4910d6c41a9eb11f543eadb3f384df1b4c293f4e73d44d6", size = 757513, upload-time = "2026-03-31T21:57:02.146Z" },
-    { url = "https://files.pythonhosted.org/packages/75/0a/39fa6c6b179b53fcb3e4b3d2b6d6cad0180854eda17060c7218540102bef/aiohttp-3.13.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8f14c50708bb156b3a3ca7230b3d820199d56a48e3af76fa21c2d6087190fe3d", size = 506748, upload-time = "2026-03-31T21:57:04.275Z" },
-    { url = "https://files.pythonhosted.org/packages/87/ec/e38ce072e724fd7add6243613f8d1810da084f54175353d25ccf9f9c7e5a/aiohttp-3.13.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e7d2f8616f0ff60bd332022279011776c3ac0faa0f1b463f7bb12326fbc97a1c", size = 501673, upload-time = "2026-03-31T21:57:06.208Z" },
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