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+---
+title: Anthropic
+description: "Learn about using Sentry for Anthropic."
+---
+
+This integration connects Sentry with the [Anthropic Python SDK](https://github.com/anthropics/anthropic-sdk-python).
+
+Once you've installed this SDK, you can use 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 `anthropic` extra:
+
+```bash {tabTitle:pip}
+pip install "sentry-sdk[anthropic]"
+```
+
+```bash {tabTitle:uv}
+uv add "sentry-sdk[anthropic]"
+```
+
+## Configure
+
+If you have the `anthropic` package in your dependencies, the Anthropic integration will be enabled automatically when you initialize the Sentry SDK.
+
+
+
+## Verify
+
+Verify that the integration works by making a chat request to Anthropic.
+
+```python
+import sentry_sdk
+from anthropic import Anthropic
+
+sentry_sdk.init(...) # same as above
+
+client = Anthropic(api_key="(your Anthropic key)")
+
+def my_llm_stuff():
+ with sentry_sdk.start_transaction(name="The result of the AI inference"):
+ print(
+ client.messages.create(
+ model="claude-3-5-sonnet-20240620",
+ max_tokens=1024,
+ messages=[{"role": "user", "content": "say hello"}]
+ )
+ .content[0]
+ .text
+ )
+```
+
+After running this script, the resulting data should show up in the `"AI Spans"` tab on the `"Explore" > "Traces" > "Trace"` 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 Anthropic integration will connect Sentry with the supported Anthropic methods automatically.
+
+- The supported function is currently `messages.create` (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
+
+By adding `AnthropicIntegration` to your `sentry_sdk.init()` call explicitly, you can set options for `AnthropicIntegration` to change its behavior:
+
+```python
+import sentry_sdk
+from sentry_sdk.integrations.anthropic import AnthropicIntegration
+
+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=[
+ AnthropicIntegration(
+ 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 `AnthropicIntegration()`:
+
+- `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
+
+- Anthropic: 0.16.0+
+- Python: 3.8+
diff --git a/docs/platforms/python/integrations/index.mdx b/docs/platforms/python/integrations/index.mdx
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@@ -40,6 +40,7 @@ The Sentry SDK uses integrations to hook into the functionality of popular libra
| | **Auto-enabled** |
| ------------------------------------------------------------------------------------------------------------------------------ | :--------------: |
+| | ✓ |
| | ✓ |
| | |