From ab48873a343137cc37ff85c7be8ce897670d138f Mon Sep 17 00:00:00 2001
From: ishaan-jaff <ishaanjaffer0324@gmail.com>
Date: Thu, 24 Aug 2023 09:51:12 -0700
Subject: [PATCH] docs updated

---
 .../docs/debugging/hosted_debugging.md        | 35 +++++++------------
 1 file changed, 12 insertions(+), 23 deletions(-)

diff --git a/docs/my-website/docs/debugging/hosted_debugging.md b/docs/my-website/docs/debugging/hosted_debugging.md
index 17dcebe96..3888821a3 100644
--- a/docs/my-website/docs/debugging/hosted_debugging.md
+++ b/docs/my-website/docs/debugging/hosted_debugging.md
@@ -1,6 +1,6 @@
 import Image from '@theme/IdealImage';
 
-# LiteLLM Client: Debug Logs + Instant LLM Deploys
+# LiteLLM Client: 1-Click Deploy LLMs + Debug Logs
 LiteLLM offers a UI to:
 * 1-Click Deploy LLMs - the client stores your api keys + model configurations
 * Debug your Call Logs 
@@ -8,7 +8,9 @@ LiteLLM offers a UI to:
 <Image img={require('../../img/dashboard.png')} alt="Dashboard" />
 
 ## Getting Started
-1 Step: 
+<a target="_blank" href="https://colab.research.google.com/github/https://colab.research.google.com/drive/1y2ChqxJOwEByThibxYMEpY5P6_RTNjj4?usp=sharing">
+    <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
+</a>
 * Make a `litellm.completion()` call 👉 get your debugging dashboard  
 
 Example Code: Regular `litellm.completion()` call:
@@ -23,6 +25,7 @@ All `completion()` calls print with a link to your session dashboard
 
 <Image img={require('../../img/dash_output.png')} alt="Dashboard" />
 
+
 Example Output from litellm completion
 ```bash
 Here's your LiteLLM Dashboard 👉 https://admin.litellm.ai/88911906-d786-44f2-87c7-9720e6031b45
@@ -38,12 +41,7 @@ Here's your LiteLLM Dashboard 👉 https://admin.litellm.ai/88911906-d786-44f2-8
 Once created, your dashboard is viewable at - `admin.litellm.ai/<your_email>` [👋 Tell us if you need better privacy controls](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version?month=2023-08)
 See our live dashboard 👉 [admin.litellm.ai](https://admin.litellm.ai/)
 
-## Usage
-### Requirements
-1. **Needs litellm>=0.1.438***
-2. Set `litellm.email` account. You can set your user email in 2 ways.  
-    - By setting it on the module - `litellm.email=<your_email>`.
-    - By setting it as an environment variable - `os.environ["LITELLM_EMAIL"] = "your_email"`.
+
 
 ## Code Setup
 ```python
@@ -54,16 +52,19 @@ litellm.email = "test_email@test.com"
 
 ```
 
-## Using LiteLLM Dashboard - Add New LLMs
+## LiteLLM Dashboard - 1-Click Deploy LLMs
 LiteLLM allows you to add a new model using the liteLLM Dashboard 
-Go to `admin.litellm.ai/<your_email>`
+
 Navigate to the 'Add New LLM' Section
 <Image img={require('../../img/add_model.png')} alt="Dashboard" />
-
 - Select Provider
 - Select your LLM 
 - Add your LLM Key
 
+## LiteLLM Dashboard - Debug Logs 
+All your `completion()` and `embedding()` call logs are available on `admin.litellm.ai/<your-token>`
+See your Logs below
+
 ### Using your new LLM - Completion() with the LiteLLM Dashboard
 ```python
 from litellm import embedding, completion
@@ -74,15 +75,3 @@ messages = [{ "content": "Hello, how are you?" ,"role": "user"}]
 response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
 ```
 
-## Using LiteLLM Dashboard - Debug your Call Logs 
-
-```python
-from litellm import embedding, completion
-# keys set in admin.litellm.ai/<your_email> or .env OPENAI_API_KEY
-messages = [{ "content": "Hello, how are you?" ,"role": "user"}]
-
-# openai call
-response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
-```
-
-See your Logs below
\ No newline at end of file