diff --git a/python/agents/machine-learning-engineering/README.md b/python/agents/machine-learning-engineering/README.md
index 6a30d0ed8..4fb7a34d9 100644
--- a/python/agents/machine-learning-engineering/README.md
+++ b/python/agents/machine-learning-engineering/README.md
@@ -46,14 +46,14 @@ to implement this workflow.
1. **Prerequisites**
- * Python 3.12+
- * 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
```
* Git
* Git can be downloaded from https://git-scm.com/. Then follow the [installation guide](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git).
@@ -75,40 +75,10 @@ to implement this workflow.
cd adk-samples/python/agents/machine-learning-engineering
```
- * Install Poetry
+ * Install dependencies
```bash
- # Install the Poetry 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
- ```
-
- This command reads the `pyproject.toml` file and installs all the necessary dependencies into a virtual environment managed by Poetry.
-
- If the above command returns with a `command not found` error, then use:
-
- ```bash
- python -m poetry install
- ```
-
- * Activate the shell
-
- ```bash
- poetry env activate
- ```
-
- This activates the virtual environment, allowing you to run commands within the project's environment. To make sure the environment is active, use for example
-
- ```bash
- $> poetry env list
- machine-learning-engineering-Gb54hHID-py3.12 (Activated)
- ```
-
- If the above command did not activate the environment for you, you can also activate it through
-
- ```bash
- source $(poetry env info --path)/bin/activate
+ # Install the package and dependencies.
+ uv sync
```
@@ -154,9 +124,9 @@ You may talk to the agent using the CLI:
adk run machine_learning_engineering
```
-Or via the Poetry shell:
+Or via the `uv` shell:
```bash
-poetry run adk run machine_learning_engineering
+uv run adk run machine_learning_engineering
```
Or on a web interface:
@@ -197,15 +167,15 @@ print(f"Submission file saved successfully to {submission_file_path}")
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 `machine-learning-engineering` 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
@@ -224,8 +194,8 @@ The Machine Learning Engineering Agent can be deployed to Vertex AI Agent Engine
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:
@@ -237,7 +207,7 @@ Created remote agent: projects//locations//rea
If you forget the AGENT_ENGINE_ID, you can list the existing agents using:
```bash
-python3 deployment/deploy.py --list
+uv run deployment/deploy.py --list
```
The output will be like:
@@ -253,7 +223,7 @@ All remote agents:
You may interact with the deployed agent using the `test_deployment.py` script
```bash
$ export USER_ID=
-$ 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.
@@ -266,9 +236,34 @@ To get started, please provide the task description of the competition.
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-mle-agent -a adk@machine-learning-engineering
```
+
+⚡️ Alternative: Using uv
+
+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-mle-agent -a adk@machine-learning-engineering
+```
+This command handles creating the project without needing to pre-install the package into a virtual environment.
+
+
+
+The starter pack will prompt you to select deployment options and provides additional production-ready features including automated CI/CD deployment scripts.
## Appendix
@@ -316,4 +311,4 @@ This document describes the required configuration parameters in the `DefaultCon
#### `agent_model`
- **Description:** Specifies the identifier for the LLM model to be used by the agent. It defaults to the value of the environment variable `ROOT_AGENT_MODEL` or `"gemini-2.0-flash-001"` if the variable is not set.
- **Type:** `str`
-- **Default:** `os.environ.get("ROOT_AGENT_MODEL", "gemini-2.0-flash-001")`
+- **Default:** `os.environ.get("ROOT_AGENT_MODEL", "gemini-2.0-flash-001")`
\ No newline at end of file
diff --git a/python/agents/machine-learning-engineering/machine_learning_engineering/__init__.py b/python/agents/machine-learning-engineering/machine_learning_engineering/__init__.py
index 55e58ea27..cba15ad10 100644
--- a/python/agents/machine-learning-engineering/machine_learning_engineering/__init__.py
+++ b/python/agents/machine-learning-engineering/machine_learning_engineering/__init__.py
@@ -1,3 +1,11 @@
"""Machine Learning Engineer: automate the implementation of ML models."""
+import os
+
+import google.auth
+
+os.environ.setdefault("GOOGLE_CLOUD_PROJECT", project_id)
+os.environ.setdefault("GOOGLE_CLOUD_LOCATION", "us-central1")
+os.environ.setdefault("GOOGLE_GENAI_USE_VERTEXAI", "True")
+
from . import agent
diff --git a/python/agents/machine-learning-engineering/pyproject.toml b/python/agents/machine-learning-engineering/pyproject.toml
index 8e9a5f010..66acae2ca 100644
--- a/python/agents/machine-learning-engineering/pyproject.toml
+++ b/python/agents/machine-learning-engineering/pyproject.toml
@@ -8,9 +8,9 @@ authors = [
{ name = "Jaehyun Nam", email = "jaehyunnam@google.com" },
{ name = "Jinsung Yoon", email = "jinsungyoon@google.com" }
]
-license = {text = "Apache License 2.0"}
+license = "Apache-2.0"
readme = "README.md"
-requires-python = ">=3.12"
+requires-python = ">=3.11,<3.13"
dependencies = [
"google-adk>=1.5.0",
@@ -26,12 +26,13 @@ dependencies = [
"torch>=2.7.1",
]
-[dependency-groups]
+[project.optional-dependencies]
dev = [
"pytest>=8.3.5",
"pytest-asyncio>=0.26.0",
"google-adk[eval]>=1.5.0",
"google-cloud-aiplatform[evaluation]>=1.93.0",
+ "agent-starter-pack>=0.14.1",
]
deployment = [
"absl-py>=2.2.1",
@@ -50,8 +51,20 @@ ignore = ["C901", "PLR0911", "PLR0912", "PLR0915"]
known-first-party = ["machine_learning_engineering"]
[tool.pytest.ini_options]
-asyncio_mode = "auto"
+pythonpath = "."
+asyncio_default_fixture_loop_scope = "function"
[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"
\ No newline at end of file
+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 = "Can you build a model to classify the iris dataset?"
+
+[tool.agent-starter-pack.settings]
+agent_directory = "machine_learning_engineering"
\ No newline at end of file
diff --git a/python/agents/machine-learning-engineering/uv.lock b/python/agents/machine-learning-engineering/uv.lock
index b47d22744..0c912cacd 100644
--- a/python/agents/machine-learning-engineering/uv.lock
+++ b/python/agents/machine-learning-engineering/uv.lock
@@ -1,10 +1,9 @@
version = 1
revision = 3
-requires-python = ">=3.12"
+requires-python = ">=3.11, <3.13"
resolution-markers = [
- "python_full_version >= '3.14'",
- "python_full_version == '3.13.*'",
- "python_full_version < '3.13'",
+ "python_full_version >= '3.12'",
+ "python_full_version < '3.12'",
]
[[package]]
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]
+[[package]]
+name = "agent-starter-pack"
+version = "0.32.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "backoff" },
+ { name = "click" },
+ { name = "cookiecutter" },
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+ { name = "pyyaml" },
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+
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name = "aiohappyeyeballs"
version = "2.6.1"
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diff --git a/python/agents/order-processing/deployment/test_deployment.py b/python/agents/order-processing/deployment/test_deployment.py
index fabcc497f..90f9a223b 100644
--- a/python/agents/order-processing/deployment/test_deployment.py
+++ b/python/agents/order-processing/deployment/test_deployment.py
@@ -13,88 +13,95 @@
# limitations under the License.
import asyncio
-import json
import os
+import pytest
import vertexai
from dotenv import load_dotenv
from google.adk.sessions import VertexAiSessionService
from vertexai import agent_engines
-MAX_ARGS = 100
-MAX_RESPONSE = 100
+def _env():
+ load_dotenv()
+ project = os.getenv("GOOGLE_CLOUD_PROJECT")
+ location = os.getenv("GOOGLE_CLOUD_LOCATION")
+ engine_id = os.getenv("AGENT_ENGINE_ID")
+ return project, location, engine_id
-def pretty_print_event(event):
- """Pretty prints an event with truncation for long content."""
- if "content" not in event:
- print(f"[{event.get('author', 'unknown')}]: {event}")
- return
- author = event.get("author", "unknown")
- parts = event["content"].get("parts", [])
+@pytest.mark.integration
+def test_agent_engine_responds():
+ project, location, engine_id = _env()
- for part in parts:
- if "text" in part:
- text = part["text"]
- print(f"[{author}]: {text}")
- elif "functionCall" in part:
- func_call = part["functionCall"]
- print(
- f"[{author}]: Function call: {func_call.get('name', 'unknown')}"
- )
- # Truncate args if too long
- args = json.dumps(func_call.get("args", {}))
- if len(args) > MAX_ARGS:
- args = args[: MAX_ARGS - 3] + "..."
- print(f" Args: {args}")
- elif "functionResponse" in part:
- func_response = part["functionResponse"]
- print(
- f"[{author}]: Function response: {func_response.get('name', 'unknown')}"
- )
- # Truncate response if too long
- response = json.dumps(func_response.get("response", {}))
- if len(response) > MAX_RESPONSE:
- response = response[: MAX_RESPONSE - 3] + "..."
- print(f" Response: {response}")
-
-
-load_dotenv()
-
-vertexai.init(
- project=os.getenv("GOOGLE_CLOUD_PROJECT"),
- location=os.getenv("GOOGLE_CLOUD_LOCATION"),
-)
-
-session_service = VertexAiSessionService(
- project=os.getenv("GOOGLE_CLOUD_PROJECT"),
- location=os.getenv("GOOGLE_CLOUD_LOCATION"),
-)
-AGENT_ENGINE_ID = os.getenv("AGENT_ENGINE_ID")
-
-session = asyncio.run(
- session_service.create_session(
- app_name=AGENT_ENGINE_ID,
- user_id="123",
+ if not engine_id:
+ pytest.skip("AGENT_ENGINE_ID not set (deploy first).")
+
+ assert project, "GOOGLE_CLOUD_PROJECT not set"
+ assert location, "GOOGLE_CLOUD_LOCATION not set"
+
+ vertexai.init(project=project, location=location)
+
+ sessions = VertexAiSessionService(project=project, location=location)
+ session = asyncio.run(
+ sessions.create_session(app_name=engine_id, user_id="pytest")
+ )
+
+ engine = agent_engines.get(engine_id)
+ events = list(
+ engine.stream_query(
+ user_id="pytest",
+ session_id=session.id,
+ message="Hello",
+ )
)
-)
-agent_engine = agent_engines.get(AGENT_ENGINE_ID)
+ asyncio.run(
+ sessions.delete_session(
+ app_name=engine_id,
+ user_id="pytest",
+ session_id=session.id,
+ )
+ )
+
+ assert events, "No events returned from agent engine"
+
+
+def main():
+ project, location, engine_id = _env()
-print("Type 'quit' to exit.")
-while True:
- user_input = input("Input: ")
- if user_input == "quit":
- break
+ if not engine_id:
+ raise SystemExit("AGENT_ENGINE_ID not set. Deploy first so it's written into .env.")
- for event in agent_engine.stream_query(
- user_id="123", session_id=session.id, message=user_input
- ):
- pretty_print_event(event)
+ vertexai.init(project=project, location=location)
-asyncio.run(
- session_service.delete_session(
- app_name=AGENT_ENGINE_ID, user_id=123, session_id=session.id
+ sessions = VertexAiSessionService(project=project, location=location)
+ session = asyncio.run(
+ sessions.create_session(app_name=engine_id, user_id="123")
)
-)
+ engine = agent_engines.get(engine_id)
+
+ print("Type 'quit' to exit.")
+ try:
+ while True:
+ msg = input("Input: ").strip()
+ if msg == "quit":
+ break
+ for event in engine.stream_query(
+ user_id="123",
+ session_id=session.id,
+ message=msg,
+ ):
+ print(event)
+ finally:
+ asyncio.run(
+ sessions.delete_session(
+ app_name=engine_id,
+ user_id="123",
+ session_id=session.id,
+ )
+ )
+
+
+if __name__ == "__main__":
+ main()
\ No newline at end of file
diff --git a/python/agents/order-processing/order_processing/agent.py b/python/agents/order-processing/order_processing/agent.py
index c9f3e610d..393495c9e 100644
--- a/python/agents/order-processing/order_processing/agent.py
+++ b/python/agents/order-processing/order_processing/agent.py
@@ -14,11 +14,12 @@
from google.adk.agents import Agent
-from .order_processing_tool import order_processing_tool
+from .order_processing_tool import get_order_processing_tool
+
root_agent = Agent(
model="gemini-2.5-flash",
name="order_processing_agent",
instruction="Help the user with creating orders, leverage the tools you have access to",
- tools=[order_processing_tool],
+ tools=[get_order_processing_tool],
)
diff --git a/python/agents/order-processing/order_processing/order_processing_tool.py b/python/agents/order-processing/order_processing/order_processing_tool.py
index 945ee1ad2..3fc8d3942 100644
--- a/python/agents/order-processing/order_processing/order_processing_tool.py
+++ b/python/agents/order-processing/order_processing/order_processing_tool.py
@@ -56,10 +56,17 @@
- Inform the user with this **exact phrasing**: "Your order has been successfully processed. You should have received a confirmation email with all the pertinent details, including your order ID."
"""
-order_processing_tool = ApplicationIntegrationToolset(
- project=GOOGLE_CLOUD_PROJECT,
- location=GOOGLE_CLOUD_LOCATION,
- integration=APPINT_PROCESS_NAME,
- triggers=[APPINT_PROCESS_TRIGGER],
- tool_instructions=TOOL_INSTR,
-)
+_order_processing_tool = None
+
+def get_order_processing_tool():
+ global _order_processing_tool
+ if _order_processing_tool is None:
+ _order_processing_tool = ApplicationIntegrationToolset(
+ project=GOOGLE_CLOUD_PROJECT,
+ location=GOOGLE_CLOUD_LOCATION,
+ integration=APPINT_PROCESS_NAME,
+ triggers=[APPINT_PROCESS_TRIGGER],
+ tool_instructions=TOOL_INSTR,
+ )
+ return _order_processing_tool
+
diff --git a/python/agents/order-processing/pyproject.toml b/python/agents/order-processing/pyproject.toml
index 9199d9af4..02f8fa4c9 100644
--- a/python/agents/order-processing/pyproject.toml
+++ b/python/agents/order-processing/pyproject.toml
@@ -8,13 +8,14 @@ authors = [
]
license = {text = "Apache License 2.0"}
readme = "README.md"
-requires-python = ">=3.12"
+requires-python = ">=3.12,<3.14"
dependencies = [
"google-adk>=1.5.0,<2.0.0",
"google-cloud-aiplatform[adk,agent-engines]>=1.100.0,<2.0.0",
"python-dotenv>=1.1.1,<2.0.0",
"google-cloud-secret-manager>=2.24.0,<3.0.0",
+ "agent-starter-pack>=0.32.0",
]
[dependency-groups]
@@ -32,6 +33,18 @@ extend = "../../../pyproject.toml"
[tool.ruff.lint.isort]
known-first-party = ["order_processing"]
+[tool.agent-starter-pack]
+example_question = "I'd like to order 5 Google Pixel phones. My name is Test User and my address is 15 Testing Drive."
+
+[tool.agent-starter-pack.settings]
+agent_directory = "order_processing"
+
+[tool.pytest.ini_options]
+markers = [
+ "integration: tests that require a deployed Agent Engine"
+]
+
+
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
\ No newline at end of file
diff --git a/python/agents/order-processing/uv.lock b/python/agents/order-processing/uv.lock
index e09648ccf..1f06d22f7 100644
--- a/python/agents/order-processing/uv.lock
+++ b/python/agents/order-processing/uv.lock
@@ -16,6 +16,24 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/8f/aa/ba0014cc4659328dc818a28827be78e6d97312ab0cb98105a770924dc11e/absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d", size = 135811, upload-time = "2025-07-03T09:31:42.253Z" },
]
+[[package]]
+name = "agent-starter-pack"
+version = "0.32.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "backoff" },
+ { name = "click" },
+ { name = "cookiecutter" },
+ { name = "google-cloud-aiplatform" },
+ { name = "pyyaml" },
+ { name = "requests" },
+ { name = "rich" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/6f/ad/4ddd9d52bc9c64621c660227c2b686712000151e6d95edb57bc0fc243bb6/agent_starter_pack-0.32.0.tar.gz", hash = "sha256:623a3411b35464b16c1979fcc164723163e2c60fb3ec07487030d1260518917d", size = 11868476, upload-time = "2026-01-30T19:11:18.091Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/12/37/6467c853c9e0515ff49a0017affcb6a2ab5f5954ea086b3d6c66641c20d5/agent_starter_pack-0.32.0-py3-none-any.whl", hash = "sha256:22e480a22436c335b09ec517d48f00d6a9a9445ed1ea05a154e99712bd37c193", size = 3191784, upload-time = "2026-01-30T19:11:20.688Z" },
+]
+
[[package]]
name = "aiosqlite"
version = "0.22.1"
@@ -70,6 +88,19 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/38/0e/27be9fdef66e72d64c0cdc3cc2823101b80585f8119b5c112c2e8f5f7dab/anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c", size = 113592, upload-time = "2026-01-06T11:45:19.497Z" },
]
+[[package]]
+name = "arrow"
+version = "1.4.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "python-dateutil" },
+ { name = "tzdata" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b9/33/032cdc44182491aa708d06a68b62434140d8c50820a087fac7af37703357/arrow-1.4.0.tar.gz", hash = "sha256:ed0cc050e98001b8779e84d461b0098c4ac597e88704a655582b21d116e526d7", size = 152931, upload-time = "2025-10-18T17:46:46.761Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/ed/c9/d7977eaacb9df673210491da99e6a247e93df98c715fc43fd136ce1d3d33/arrow-1.4.0-py3-none-any.whl", hash = "sha256:749f0769958ebdc79c173ff0b0670d59051a535fa26e8eba02953dc19eb43205", size = 68797, upload-time = "2025-10-18T17:46:45.663Z" },
+]
+
[[package]]
name = "attrs"
version = "25.4.0"
@@ -91,6 +122,27 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/54/51/321e821856452f7386c4e9df866f196720b1ad0c5ea1623ea7399969ae3b/authlib-1.6.6-py2.py3-none-any.whl", hash = "sha256:7d9e9bc535c13974313a87f53e8430eb6ea3d1cf6ae4f6efcd793f2e949143fd", size = 244005, upload-time = "2025-12-12T08:01:40.209Z" },
]
+[[package]]
+name = "backoff"
+version = "2.2.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/47/d7/5bbeb12c44d7c4f2fb5b56abce497eb5ed9f34d85701de869acedd602619/backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba", size = 17001, upload-time = "2022-10-05T19:19:32.061Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/df/73/b6e24bd22e6720ca8ee9a85a0c4a2971af8497d8f3193fa05390cbd46e09/backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8", size = 15148, upload-time = "2022-10-05T19:19:30.546Z" },
+]
+
+[[package]]
+name = "binaryornot"
+version = "0.4.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "chardet" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/a7/fe/7ebfec74d49f97fc55cd38240c7a7d08134002b1e14be8c3897c0dd5e49b/binaryornot-0.4.4.tar.gz", hash = "sha256:359501dfc9d40632edc9fac890e19542db1a287bbcfa58175b66658392018061", size = 371054, upload-time = "2017-08-03T15:55:25.08Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/24/7e/f7b6f453e6481d1e233540262ccbfcf89adcd43606f44a028d7f5fae5eb2/binaryornot-0.4.4-py2.py3-none-any.whl", hash = "sha256:b8b71173c917bddcd2c16070412e369c3ed7f0528926f70cac18a6c97fd563e4", size = 9006, upload-time = "2017-08-03T15:55:31.23Z" },
+]
+
[[package]]
name = "certifi"
version = "2026.1.4"
@@ -157,6 +209,15 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/ae/3a/dbeec9d1ee0844c679f6bb5d6ad4e9f198b1224f4e7a32825f47f6192b0c/cffi-2.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0a1527a803f0a659de1af2e1fd700213caba79377e27e4693648c2923da066f9", size = 184195, upload-time = "2025-09-08T23:23:43.004Z" },
]
+[[package]]
+name = "chardet"
+version = "5.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f3/0d/f7b6ab21ec75897ed80c17d79b15951a719226b9fababf1e40ea74d69079/chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7", size = 2069618, upload-time = "2023-08-01T19:23:02.662Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/38/6f/f5fbc992a329ee4e0f288c1fe0e2ad9485ed064cac731ed2fe47dcc38cbf/chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970", size = 199385, upload-time = "2023-08-01T19:23:00.661Z" },
+]
+
[[package]]
name = "charset-normalizer"
version = "3.4.4"
@@ -244,6 +305,25 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" },
]
+[[package]]
+name = "cookiecutter"
+version = "2.6.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "arrow" },
+ { name = "binaryornot" },
+ { name = "click" },
+ { name = "jinja2" },
+ { name = "python-slugify" },
+ { name = "pyyaml" },
+ { name = "requests" },
+ { name = "rich" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/52/17/9f2cd228eb949a91915acd38d3eecdc9d8893dde353b603f0db7e9f6be55/cookiecutter-2.6.0.tar.gz", hash = "sha256:db21f8169ea4f4fdc2408d48ca44859349de2647fbe494a9d6c3edfc0542c21c", size = 158767, upload-time = "2024-02-21T18:02:41.949Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/b6/d9/0137658a353168ffa9d0fc14b812d3834772040858ddd1cb6eeaf09f7a44/cookiecutter-2.6.0-py3-none-any.whl", hash = "sha256:a54a8e37995e4ed963b3e82831072d1ad4b005af736bb17b99c2cbd9d41b6e2d", size = 39177, upload-time = "2024-02-21T18:02:39.569Z" },
+]
+
[[package]]
name = "cryptography"
version = "46.0.3"
@@ -508,6 +588,7 @@ dependencies = [
{ name = "proto-plus" },
{ name = "protobuf" },
]
+sdist = { url = "https://files.pythonhosted.org/packages/65/38/89317773c64b5a7e9b56b9aecb2e39ac02d8d6d09fb5b276710c6892e690/google_cloud_appengine_logging-1.8.0.tar.gz", hash = "sha256:84b705a69e4109fc2f68dfe36ce3df6a34d5c3d989eee6d0ac1b024dda0ba6f5", size = 18071, upload-time = "2026-01-15T13:14:40.024Z" }
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- { url = "https://files.pythonhosted.org/packages/77/cb/43692bcd5f7a0da6ec0ec6d58ee7cddb606d055ce94a62ac9b1aa481e969/greenlet-3.3.0-cp312-cp312-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:c024b1e5696626890038e34f76140ed1daf858e37496d33f2af57f06189e70d7", size = 622297, upload-time = "2025-12-04T15:07:13.552Z" },
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