diff --git a/docs/my-website/docs/observability/sentry.md b/docs/my-website/docs/observability/sentry.md
new file mode 100644
index 000000000..732146bbc
--- /dev/null
+++ b/docs/my-website/docs/observability/sentry.md
@@ -0,0 +1,28 @@
+# Sentry Tutorial 
+[Sentry](https://sentry.io/) provides error monitoring for production. LiteLLM can add breadcrumbs and send exceptions to Sentry with this integration
+
+This works on normal, async and streaming completion calls
+
+### usage 
+
+```python
+import litellm
+from litellm import completion 
+litellm.set_verbose = True
+
+litellm.input_callback=["sentry"] # adds sentry breadcrumbing
+litellm.failure_callback=["sentry"] # [OPTIONAL] if you want litellm to capture -> send exception to sentry
+
+import os 
+os.environ["SENTRY_API_URL"] = "your-sentry-url"
+os.environ["OPENAI_API_KEY"] = "your-openai-key"
+
+# set bad key to trigger error 
+api_key="bad-key"
+response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hey!"}], stream=True, api_key=api_key)
+
+print(response)
+```
+
+[Let us know](https://github.com/BerriAI/litellm/issues/new?assignees=&labels=enhancement&projects=&template=feature_request.yml&title=%5BFeature%5D%3A+) if you need any additional options from Sentry. 
+
diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index e5aed111a..6746fd6a1 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -110,6 +110,7 @@ const sidebars = {
         "observability/callbacks",
         "observability/integrations",
         "observability/custom_callback",
+        "observability/sentry",
         "observability/promptlayer_integration",
         "observability/langfuse_integration",
         "observability/traceloop_integration",