diff --git a/docs/my-website/docs/observability/langfuse_integration.md b/docs/my-website/docs/observability/langfuse_integration.md
index dedbfff1ed..f66c5e163d 100644
--- a/docs/my-website/docs/observability/langfuse_integration.md
+++ b/docs/my-website/docs/observability/langfuse_integration.md
@@ -7,9 +7,6 @@ Detailed production traces and a granular view on quality, cost and latency
 
 <Image img={require('../../img/langfuse.png')} />
 
-## Usage - log all LLM Providers (OpenAI, Azure, Anthropic, Cohere, Replicate, PaLM)
-liteLLM provides `callbacks`, making it easy for you to log data depending on the status of your responses.
-
 ## Pre-Requisites
 Ensure you have run `pip install langfuse` for this integration
 ```shell
@@ -17,6 +14,15 @@ pip install langfuse litellm
 ```
 
 ## Quick Start
+Use just 2 lines of code, to instantly log your responses **across all providers** with Langfuse
+<a target="_blank" href="https://colab.research.google.com/github/BerriAI/litellm/blob/main/cookbook/logging_observability/LiteLLM_Langfuse.ipynb">
+  <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
+</a>
+
+Get your Langfuse API Keys from https://cloud.langfuse.com/
+```python
+litellm.success_callback = ["langfuse"]
+```
 ```python
 # pip install langfuse 
 import litellm
@@ -25,6 +31,10 @@ import os
 # from https://cloud.langfuse.com/
 os.environ["LANGFUSE_PUBLIC_KEY"] = ""
 os.environ["LANGFUSE_SECRET_KEY"] = ""
+# Optional, defaults to https://cloud.langfuse.com
+os.environ["LANGFUSE_HOST"] # optional
+
+# LLM API Keys
 os.environ['OPENAI_API_KEY']=""
 
 # set langfuse as a callback, litellm will send the data to langfuse
@@ -39,71 +49,6 @@ response = litellm.completion(
 )
 ```
 
-<a target="_blank" href="https://colab.research.google.com/github/BerriAI/litellm/blob/main/cookbook/logging_observability/LiteLLM_Langfuse.ipynb">
-  <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
-</a>
-
-Get your Langfuse API Keys from https://cloud.langfuse.com/
-
-Use just 2 lines of code, to instantly log your responses **across all providers** with langfuse:
-
-```python
-litellm.success_callback = ["langfuse"]
-```
-
-## API keys for Langfuse
-Set the following variables in your .env
-```python
-# Required 
-os.environ["LANGFUSE_SECRET_KEY"]
-os.environ["LANGFUSE_PUBLIC_KEY"]
-
-# Optional, defaults to https://cloud.langfuse.com
-os.environ["LANGFUSE_HOST"] # optional
-```
-
-## Complete code
-
-```python
-import litellm
-from litellm import completion
-import os
-
-# from https://cloud.langfuse.com/
-os.environ["LANGFUSE_PUBLIC_KEY"] = ""
-os.environ["LANGFUSE_SECRET_KEY"] = ""
-
-
-# OpenAI and Cohere keys 
-# You can use any of the litellm supported providers: https://docs.litellm.ai/docs/providers
-os.environ['OPENAI_API_KEY']=""
-os.environ['COHERE_API_KEY']=""
-
-# set langfuse as a callback, litellm will send the data to langfuse
-litellm.success_callback = ["langfuse"] 
- 
-# openai call
-response = completion(
-  model="gpt-3.5-turbo",
-  messages=[
-    {"role": "user", "content": "Hi 👋 - i'm openai"}
-  ]
-)
- 
-print(response)
-
-# cohere call
-response = completion(
-  model="command-nightly",
-  messages=[
-    {"role": "user", "content": "Hi 👋 - i'm cohere"}
-  ]
-)
-
-print(response)
-
-```
-
 ## Advanced
 ### Set Custom Generation names, pass metadata