diff --git a/docs/platforms/python/integrations/google-genai/index.mdx b/docs/platforms/python/integrations/google-genai/index.mdx
new file mode 100644
index 0000000000000..f8bf43dc4117f
--- /dev/null
+++ b/docs/platforms/python/integrations/google-genai/index.mdx
@@ -0,0 +1,114 @@
+---
+title: Google Gen AI
+description: "Learn about using Sentry for Google Gen AI."
+---
+
+This integration connects Sentry with the [Google Gen AI Python SDK](https://github.com/googleapis/python-genai).
+
+Once you've installed this SDK, you can use the Sentry AI Agents Monitoring, a Sentry dashboard that helps you understand what's going on with your AI requests.
+
+Sentry AI Monitoring will automatically collect information about prompts, tools, tokens, and models. Learn more about the [AI Agents Dashboard](/product/insights/ai/agents).
+
+## Install
+
+Install `sentry-sdk` from PyPI with the `google-genai` extra:
+
+```bash {tabTitle:pip}
+pip install "sentry-sdk[google-genai]"
+```
+
+```bash {tabTitle:uv}
+uv add "sentry-sdk[google-genai]"
+```
+
+## Configure
+
+Add `GoogleGenAIIntegration()` to your `integrations` list:
+
+```python
+import sentry_sdk
+from sentry_sdk.integrations.google_genai import GoogleGenAIIntegration
+
+sentry_sdk.init(
+ dsn="___PUBLIC_DSN___",
+ # Set traces_sample_rate to 1.0 to capture 100%
+ # of transactions for tracing.
+ traces_sample_rate=1.0,
+ # Add data like inputs and responses;
+ # see https://docs.sentry.io/platforms/python/data-management/data-collected/ for more info
+ send_default_pii=True,
+ integrations=[
+ GoogleGenAIIntegration(),
+ ],
+)
+```
+
+## Verify
+
+Verify that the integration works by making a chat request to Google Gen AI.
+
+```python
+import sentry_sdk
+from sentry_sdk.integrations.google_genai import GoogleGenAIIntegration
+from google.genai import Client
+
+sentry_sdk.init(...) # same as above
+
+client = Client(api_key="(your Google API key)")
+
+def my_llm_stuff():
+ with sentry_sdk.start_transaction(name="The result of the AI inference"):
+ response = client.models.generate_content(
+ model="gemini-2.0-flash-exp",
+ contents="say hello"
+ )
+ print(response.text)
+```
+
+After running this script, the resulting data should show up in the `"AI Spans"` tab on the `"Explore" > "Traces"` page on Sentry.io.
+
+If you manually created an Invoke Agent Span (not done in the example above) the data will also show up in the [AI Agents Dashboard](/product/insights/ai/agents).
+
+It may take a couple of moments for the data to appear in [sentry.io](https://sentry.io).
+
+## Behavior
+
+- The Google Gen AI integration will connect Sentry with the supported Google Gen AI methods automatically.
+
+- The supported function is currently `models.generate_content` (both sync and async).
+
+- Sentry considers LLM inputs/outputs as PII (Personally identifiable information) and doesn't include PII data by default. If you want to include the data, set `send_default_pii=True` in the `sentry_sdk.init()` call. To explicitly exclude prompts and outputs despite `send_default_pii=True`, configure the integration with `include_prompts=False` as shown in the [Options section](#options) below.
+
+## Options
+
+You can set options for `GoogleGenAIIntegration` to change its behavior:
+
+```python
+import sentry_sdk
+from sentry_sdk.integrations.google_genai import GoogleGenAIIntegration
+
+sentry_sdk.init(
+ # ...
+ # Add data like inputs and responses;
+ # see https://docs.sentry.io/platforms/python/data-management/data-collected/ for more info
+ send_default_pii=True,
+ integrations=[
+ GoogleGenAIIntegration(
+ include_prompts=False, # LLM inputs/outputs will be not sent to Sentry, despite send_default_pii=True
+ ),
+ ],
+)
+```
+
+You can pass the following keyword arguments to `GoogleGenAIIntegration()`:
+
+- `include_prompts`:
+
+ Whether LLM inputs and outputs should be sent to Sentry. Sentry considers this data personal identifiable data (PII) by default. If you want to include the data, set `send_default_pii=True` in the `sentry_sdk.init()` call. To explicitly exclude prompts and outputs despite `send_default_pii=True`, configure the integration with `include_prompts=False`.
+
+ The default is `True`.
+
+## Supported Versions
+
+- google-genai: 1.4.0+
+- Python: 3.9+
diff --git a/docs/platforms/python/integrations/index.mdx b/docs/platforms/python/integrations/index.mdx
index 4f709072ebd1e..f31c9b6db8d88 100644
--- a/docs/platforms/python/integrations/index.mdx
+++ b/docs/platforms/python/integrations/index.mdx
@@ -38,15 +38,16 @@ The Sentry SDK uses integrations to hook into the functionality of popular libra
### AI
-| | **Auto-enabled** |
-| ---------------------------------------------------------------------------------------------------------------------------------- | :--------------: |
-| | ✓ |
-| | ✓ |
-| | ✓ |
-| | |
-| | ✓ |
-| | ✓ |
-| | |
+| | **Auto-enabled** |
+| --------------------------------------------------------------------------------------------------------------------------------- | :--------------: |
+| | ✓ |
+| | |
+| | ✓ |
+| | ✓ |
+| | |
+| | ✓ |
+| | ✓ |
+| | |
### Data Processing
diff --git a/docs/platforms/python/integrations/litellm/index.mdx b/docs/platforms/python/integrations/litellm/index.mdx
index d0426902eaa18..6d46718583e64 100644
--- a/docs/platforms/python/integrations/litellm/index.mdx
+++ b/docs/platforms/python/integrations/litellm/index.mdx
@@ -69,9 +69,9 @@ response = litellm.completion(
print(response.choices[0].message.content)
```
-After running this script, the resulting data should show up in the `AI Spans` tab on the `Explore > Traces > Trace` page on Sentry.io.
+After running this script, the resulting data should show up in the `"AI Spans"` tab on the `"Explore" > "Traces"` page on Sentry.io.
-If you manually created an Invoke Agent Span (not done in the example above), the data will also show up in the [AI Agents Dashboard](/product/insights/ai/agents).
+If you manually created an Invoke Agent Span (not done in the example above) the data will also show up in the [AI Agents Dashboard](/product/insights/ai/agents).
It may take a couple of moments for the data to appear in [sentry.io](https://sentry.io).
diff --git a/docs/platforms/python/tracing/instrumentation/custom-instrumentation/ai-agents-module.mdx b/docs/platforms/python/tracing/instrumentation/custom-instrumentation/ai-agents-module.mdx
index 698643eb56f60..63b9a789bc541 100644
--- a/docs/platforms/python/tracing/instrumentation/custom-instrumentation/ai-agents-module.mdx
+++ b/docs/platforms/python/tracing/instrumentation/custom-instrumentation/ai-agents-module.mdx
@@ -13,6 +13,7 @@ As a prerequisite to setting up AI Agent Monitoring with Python, you'll need to
The Python SDK supports automatic instrumentation for some AI libraries. We recommend adding their integrations to your Sentry configuration to automatically capture spans for AI agents.
- Anthropic
+- Google Gen AI
- OpenAI
- OpenAI Agents SDK
- LangChain