ref.diff

diff --git a/python/agents/financial-advisor/README.md b/python/agents/financial-advisor/README.md
index 9a7b949ae..84f39a10b 100644
--- a/python/agents/financial-advisor/README.md
+++ b/python/agents/financial-advisor/README.md
@@ -48,14 +48,14 @@ to implement this workflow.
 
 1.  **Prerequisites**
 
-    *   Python 3.11+
-    *   Poetry
+    *   Python 3.10+
+    *   uv
         *   For dependency management and packaging. Please follow the
             instructions on the official
-            [Poetry website](https://python-poetry.org/docs/) for installation.
+            [uv website](https://docs.astral.sh/uv/) for installation.
 
         ```bash
-        pip install poetry
+        curl -LsSf https://astral.sh/uv/install.sh | sh
         ```
 
     * A project on Google Cloud Platform
@@ -70,10 +70,7 @@ to implement this workflow.
     git clone https://github.com/google/adk-samples.git
     cd adk-samples/python/agents/financial_advisor
     # Install the package and dependencies.
-    # Note for Linux users: If you get an error related to `keyring` during the installation, you can disable it by running the following command:
-    # poetry config keyring.enabled false
-    # This is a one-time setup.
-    poetry install
+    uv sync
     ```
 
 3.  **Configuration**
@@ -703,15 +700,15 @@ Thank you!
 For running tests and evaluation, install the extra dependencies:
 
 ```bash
-poetry install --with dev
+uv sync --dev
 ```
 
 Then the tests and evaluation can be run from the `financial-advisor` directory using
 the `pytest` module:
 
 ```bash
-python3 -m pytest tests
-python3 -m pytest eval
+uv run pytest tests
+uv run pytest eval
 ```
 
 `tests` runs the agent on a sample request, and makes sure that every component
@@ -726,8 +723,8 @@ The Financial Advisor can be deployed to Vertex AI Agent Engine using the follow
 commands:
 
 ```bash
-poetry install --with deployment
-python3 deployment/deploy.py --create
+uv sync --group deployment
+uv run deployment/deploy.py --create
 ```
 
 When the deployment finishes, it will print a line like this:
@@ -739,7 +736,7 @@ Created remote agent: projects/<PROJECT_NUMBER>/locations/<PROJECT_LOCATION>/rea
 If you forgot the AGENT_ENGINE_ID, you can list existing agents using:
 
 ```bash
-python3 deployment/deploy.py --list
+uv run deployment/deploy.py --list
 ```
 
 The output will be like:
@@ -755,7 +752,7 @@ All remote agents:
 You may interact with the deployed agent using the `test_deployment.py` script
 ```bash
 $ export USER_ID=<any string>
-$ python3 deployment/test_deployment.py --resource_id=${AGENT_ENGINE_ID} --user_id=${USER_ID}
+$ uv run deployment/test_deployment.py --resource_id=${AGENT_ENGINE_ID} --user_id=${USER_ID}
 Found agent with resource ID: ...
 Created session for user ID: ...
 Type 'quit' to exit.
@@ -773,9 +770,35 @@ Would you like to begin by providing a market ticker symbol for analysis?
 To delete the deployed agent, you may run the following command:
 
 ```bash
-python3 deployment/deploy.py --delete --resource_id=${AGENT_ENGINE_ID}
+uv run deployment/deploy.py --delete --resource_id=${AGENT_ENGINE_ID}
 ```
 
+### Alternative: Using Agent Starter Pack
+
+You can also use the [Agent Starter Pack](https://goo.gle/agent-starter-pack) to create a production-ready version of this agent with additional deployment options:
+
+```bash
+# Create and activate a virtual environment
+python -m venv .venv && source .venv/bin/activate # On Windows: .venv\Scripts\activate
+
+# Install the starter pack and create your project
+pip install --upgrade agent-starter-pack
+agent-starter-pack create my-financial-advisor -a adk@financial-advisor
+```
+
+<details>
+<summary>⚡️ Alternative: Using uv</summary>
+
+If you have [`uv`](https://github.com/astral-sh/uv) installed, you can create and set up your project with a single command:
+```bash
+uvx agent-starter-pack create my-financial-advisor -a adk@financial-advisor
+```
+This command handles creating the project without needing to pre-install the package into a virtual environment.
+
+</details>
+
+The starter pack will prompt you to select deployment options and provides additional production-ready features including automated CI/CD deployment scripts.
+
 ## Customization
 
 1. Enhance Data_Analyst Module Search Capabilities with Specialized Stock Repositories:
diff --git a/python/agents/financial-advisor/financial_advisor/__init__.py b/python/agents/financial-advisor/financial_advisor/__init__.py
index fbb2f3108..c20ba73eb 100644
--- a/python/agents/financial-advisor/financial_advisor/__init__.py
+++ b/python/agents/financial-advisor/financial_advisor/__init__.py
@@ -14,4 +14,13 @@
 
 """Financial coordinator: provide reasonable investment strategies"""
 
+import os
+
+import google.auth
+
+_, project_id = google.auth.default()
+os.environ.setdefault("GOOGLE_CLOUD_PROJECT", project_id)
+os.environ.setdefault("GOOGLE_CLOUD_LOCATION", "global")
+os.environ.setdefault("GOOGLE_GENAI_USE_VERTEXAI", "True")
+
 from . import agent
diff --git a/python/agents/financial-advisor/financial_advisor/agent.py b/python/agents/financial-advisor/financial_advisor/agent.py
index 8580f4c62..781adf3cf 100644
--- a/python/agents/financial-advisor/financial_advisor/agent.py
+++ b/python/agents/financial-advisor/financial_advisor/agent.py
@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-"""Financial coordinator: provide reasonable investment strategies"""
+"""Financial coordinator: provide reasonable investment strategies."""
 
 from google.adk.agents import LlmAgent
 from google.adk.tools.agent_tool import AgentTool
@@ -23,6 +23,7 @@
 from .sub_agents.risk_analyst import risk_analyst_agent
 from .sub_agents.trading_analyst import trading_analyst_agent
 
+
 MODEL = "gemini-2.5-pro"
 
 
diff --git a/python/agents/financial-advisor/pyproject.toml b/python/agents/financial-advisor/pyproject.toml
index b76be4a9d..387163938 100644
--- a/python/agents/financial-advisor/pyproject.toml
+++ b/python/agents/financial-advisor/pyproject.toml
@@ -1,36 +1,100 @@
 [project]
 name = "financial-advisor"
-version = "0.1"
+version = "0.1.0"
 description = "AI-driven agent designed to facilitate the exploration of the financial advisor landscape"
 authors = [{ name = "Antonio Gulli", email = "gulli@google.com" }]
-license = "Apache License 2.0"
+license = "Apache-2.0"
 readme = "README.md"
+dependencies = [
+    "google-cloud-aiplatform[adk,agent-engines]>=1.93.0",
+    "google-genai>=1.9.0",
+    "pydantic>=2.10.6",
+    "python-dotenv>=1.0.1",
+    "google-adk>=1.0.0",
+]
 
-[tool.poetry.dependencies]
-google-cloud-aiplatform = { version = "^1.93.0", extras = [
-    "adk",
-    "agent-engines",
-] }
-python = "^3.9"
-google-genai = "^1.9.0"
-pydantic = "^2.10.6"
-python-dotenv = "^1.0.1"
-google-adk = "^1.0.0"
-[tool.poetry.group.dev]
-optional = true
-
-[tool.poetry.group.dev.dependencies]
-pytest = "^8.3.5"
-black = "^25.1.0"
-google-adk = { version = "^1.0.0", extras = ["eval"] }
-pytest-asyncio = "^0.26.0"
-
-[tool.poetry.group.deployment]
-optional = true
-
-[tool.poetry.group.deployment.dependencies]
-absl-py = "^2.2.1"
+requires-python = ">=3.10,<3.13"
+
+[dependency-groups]
+dev = [
+    "pytest>=8.3.2",
+    "pytest-asyncio>=0.23.7",
+    "google-adk[eval]>=1.0.0",
+    "nest-asyncio>=1.6.0",
+    "agent-starter-pack>=0.14.1",
+]
+
+deployment = [
+    "absl-py>=2.2.1",
+]
+
+[project.optional-dependencies]
+
+lint = [
+    "ruff>=0.4.6",
+    "mypy>=1.15.0",
+    "codespell>=2.2.0",
+    "types-pyyaml>=6.0.12.20240917",
+    "types-requests>=2.32.0.20240914",
+]
+
+[tool.ruff]
+line-length = 88
+target-version = "py310"
+
+[tool.ruff.lint]
+select = [
+    "E",   # pycodestyle
+    "F",   # pyflakes
+    "W",   # pycodestyle warnings
+    "I",   # isort
+    "C",  # flake8-comprehensions
+    "B",   # flake8-bugbear
+    "UP", # pyupgrade
+    "RUF", # ruff specific rules
+]
+ignore = ["E501", "C901"] # ignore line too long, too complex
+
+[tool.ruff.lint.isort]
+known-first-party = ["financial_advisor"]
+
+[tool.mypy]
+disallow_untyped_calls = true
+disallow_untyped_defs = true
+disallow_incomplete_defs = true
+no_implicit_optional = true
+check_untyped_defs = true
+disallow_subclassing_any = true
+warn_incomplete_stub = true
+warn_redundant_casts = true
+warn_unused_ignores = true
+warn_unreachable = true
+follow_imports = "silent"
+ignore_missing_imports = true
+explicit_package_bases = true
+disable_error_code = ["misc", "no-untyped-call", "no-any-return"]
+
+exclude = [".venv"]
+
+[tool.codespell]
+ignore-words-list = "rouge"
+skip = "./locust_env/*,uv.lock,.venv,./frontend,**/*.ipynb"
+
+[tool.pytest.ini_options]
+pythonpath = "."
+asyncio_default_fixture_loop_scope = "function"
 
 [build-system]
-requires = ["poetry-core>=2.0.0,<3.0.0"]
-build-backend = "poetry.core.masonry.api"
+requires = ["uv_build>=0.8.14,<0.9.0"]
+build-backend = "uv_build"
+
+[tool.uv.build-backend]
+module-root = ""
+
+# This configuration file is used by goo.gle/agent-starter-pack to power remote templating.
+# It defines the template's properties and settings.
+[tool.agent-starter-pack]
+example_question = "Analyze AAPL"
+
+[tool.agent-starter-pack.settings]
+agent_directory = "financial_advisor"