add python-genai test scripts

test-google-genai/README.md

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+# Google GenAI / Vertex AI Test
+
+This project demonstrates how to use Google's GenAI API with Vertex AI authentication.
+
+## Prerequisites
+
+1. Python 3.8+
+2. Google Cloud Project with Vertex AI API enabled (there is already one in Sentry)
+3. Authentication credentials (see setup below)
+
+## Authentication Setup
+
+In shared 1Password there is a shared secret `Vertex API Key JSON` which contains JSON credentials for service account set up.
+
+All the scripts in this directory rely on using that service account as an authentication to Vertex APIs, we don't have an API key.
+
+To set it up, copy the content of the secret to a JSON file, and the path of the file should be store in `GOOGLE_APPLICATION_CREDENTIALS`.
+
+Ask on Slack for the values for `GOOGLE_VERTEX_LOCATION` and `GOOGLE_VERTEX_PROJECT` env variables.
+
+## Configure
+
+Set the following environment variables in `.env` file:
+
+- `SENTRY_DSN`
+- `GOOGLE_APPLICATION_CREDENTIALS`
+- `GOOGLE_VERTEX_LOCATION`
+- `GOOGLE_VERTEX_PROJECT`
+
+# Example scripts
+
+Docs are available at README.md in https://github.com/googleapis/python-genai or at https://googleapis.github.io/python-genai/.
+
+- `client.py` - runs the basic example from the docs
+- `client_content_stream.py` - runs the content stream example from the documentation
+- `client_async.py` - runs the async example from the documentation
+- `chats.py` - runs the chats example from the documentation

test-google-genai/chats.py

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+from dotenv import load_dotenv
+from google import genai
+from google.genai.types import HttpOptions
+import os
+
+import sentry_sdk
+from sentry_sdk.integrations.google_genai import GoogleGenAIIntegration
+
+load_dotenv()
+
+sentry_sdk.init(
+    dsn=os.environ["SENTRY_DSN"],
+    # Add data like request headers and IP for users,
+    # see https://docs.sentry.io/platforms/python/data-management/data-collected/ for more info
+    send_default_pii=True,
+    traces_sample_rate=1.0,
+    integrations=[GoogleGenAIIntegration()],
+    debug=True,
+)
+
+
+client = genai.Client(
+    vertexai=True,
+    project=os.environ["GOOGLE_VERTEX_PROJECT"],
+    location=os.environ["GOOGLE_VERTEX_LOCATION"],
+    http_options=HttpOptions(api_version="v1"),
+)
+
+
+def main():
+    with sentry_sdk.start_transaction(op="test-transaction", name="test-chats"):
+        chat = client.chats.create(model="gemini-2.0-flash")
+        response = chat.send_message("What is the weather like in San Francisco, CA?")
+
+    print(response.text)
+
+
+if __name__ == "__main__":
+    main()

test-google-genai/client.py

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+from dotenv import load_dotenv
+
+from google import genai
+from google.genai import types
+from google.genai.types import HttpOptions
+import os
+
+import sentry_sdk
+from sentry_sdk.integrations.google_genai import GoogleGenAIIntegration
+
+load_dotenv()
+
+sentry_sdk.init(
+    dsn=os.environ["SENTRY_DSN"],
+    # Add data like request headers and IP for users,
+    # see https://docs.sentry.io/platforms/python/data-management/data-collected/ for more info
+    send_default_pii=True,
+    traces_sample_rate=1.0,
+    integrations=[GoogleGenAIIntegration()],
+    debug=True,
+)
+
+client = genai.Client(
+    vertexai=True,
+    project=os.environ["GOOGLE_VERTEX_PROJECT"],
+    location=os.environ["GOOGLE_VERTEX_LOCATION"],
+    http_options=HttpOptions(api_version="v1"),
+)
+
+
+def get_current_weather(location: str) -> str:
+    """Returns the current weather.
+
+    Args:
+      location: The city and state, e.g. San Francisco, CA
+    """
+    return "sunny"
+
+
+google_search_retrieval_tool = {"google_search": {}}
+
+
+def main():
+    with sentry_sdk.start_transaction(op="test-transaction", name="test"):
+        response = client.models.generate_content(
+            model="gemini-2.5-flash",
+            contents="What is weather like in Boston, MA?",
+            config=types.GenerateContentConfig(
+                tools=[get_current_weather],
+                system_instruction="You are a helpful assistant that can use tools to help answer questions.",
+                temperature=0.2,
+            ),
+        )
+
+    print(response.text)
+
+
+if __name__ == "__main__":
+    main()

test-google-genai/client_async.py

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+from dotenv import load_dotenv
+import asyncio
+from google import genai
+from google.genai import types
+from google.genai.types import HttpOptions
+import os
+
+import sentry_sdk
+from sentry_sdk.integrations.google_genai import GoogleGenAIIntegration
+
+load_dotenv()
+
+sentry_sdk.init(
+    dsn=os.environ["SENTRY_DSN"],
+    # Add data like request headers and IP for users,
+    # see https://docs.sentry.io/platforms/python/data-management/data-collected/ for more info
+    send_default_pii=True,
+    traces_sample_rate=1.0,
+    integrations=[GoogleGenAIIntegration()],
+    debug=True,
+)
+
+aclient = genai.Client(
+    vertexai=True,
+    project=os.environ["GOOGLE_VERTEX_PROJECT"],
+    location=os.environ["GOOGLE_VERTEX_LOCATION"],
+    http_options=HttpOptions(api_version="v1"),
+).aio
+
+
+def get_current_weather(location: str) -> str:
+    """Returns the current weather.
+
+    Args:
+      location: The city and state, e.g. San Francisco, CA
+    """
+    return "sunny"
+
+
+async def main():
+    with sentry_sdk.start_transaction(op="async-test-transaction", name="async-test"):
+        response = await aclient.models.generate_content(
+            model="gemini-2.5-flash",
+            contents="What is weather like in Boston, MA?",
+            config=types.GenerateContentConfig(
+                tools=[get_current_weather],
+                system_instruction="You are a helpful assistant that can use tools to help answer questions.",
+                temperature=0.2,
+            ),
+        )
+
+    print(response.text)
+
+
+asyncio.run(main())

test-google-genai/client_content_stream.py

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+from dotenv import load_dotenv
+from google import genai
+from google.genai.types import HttpOptions
+import os
+
+import sentry_sdk
+from sentry_sdk.integrations.google_genai import GoogleGenAIIntegration
+
+load_dotenv()
+
+sentry_sdk.init(
+    dsn=os.environ["SENTRY_DSN"],
+    # Add data like request headers and IP for users,
+    # see https://docs.sentry.io/platforms/python/data-management/data-collected/ for more info
+    send_default_pii=True,
+    traces_sample_rate=1.0,
+    integrations=[GoogleGenAIIntegration()],
+    debug=True,
+)
+
+
+client = genai.Client(
+    vertexai=True,
+    project=os.environ["GOOGLE_VERTEX_PROJECT"],
+    location=os.environ["GOOGLE_VERTEX_LOCATION"],
+    http_options=HttpOptions(api_version="v1"),
+)
+
+
+def get_current_weather(location: str) -> str:
+    """Returns the current weather.
+
+    Args:
+      location: The city and state, e.g. San Francisco, CA
+    """
+    return "sunny"
+
+
+google_search_retrieval_tool = {"google_search": {}}
+
+
+def main():
+    with sentry_sdk.start_transaction(op="test-transaction", name="test-streaming"):
+        for chunk in client.models.generate_content_stream(
+            model="gemini-2.5-flash",
+            contents="Why is the sky blue?",
+        ):
+            print(chunk.text, end="")
+
+
+if __name__ == "__main__":
+    main()

test-google-genai/pyproject.toml

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+[project]
+name = "test-google-genai"
+version = "0.1.0"
+description = "Google GenAI / Vertex AI API testing with proper authentication"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "google-genai",
+    "google-auth",
+    "google-cloud-aiplatform",
+    "sentry-sdk",
+    "pip>=25.2",
+    "python-dotenv>=1.1.1",
+]
+
+[tool.uv.sources]
+sentry-sdk = { path = "../../sentry-python", editable = true }