diff --git a/docs/my-website/docs/index.md b/docs/my-website/docs/index.md
index 4ca470335..57d23215d 100644
--- a/docs/my-website/docs/index.md
+++ b/docs/my-website/docs/index.md
@@ -1,23 +1,27 @@
-# 🚅 litellm
-a light 100 line package to simplify calling OpenAI, Azure, Cohere, Anthropic APIs 
+# *🚅 litellm*
+[![PyPI Version](https://img.shields.io/pypi/v/litellm.svg)](https://pypi.org/project/litellm/)
+[![PyPI Version](https://img.shields.io/badge/stable%20version-v0.1.345-blue?color=green&link=https://pypi.org/project/litellm/0.1.1/)](https://pypi.org/project/litellm/0.1.1/)
+[![CircleCI](https://dl.circleci.com/status-badge/img/gh/BerriAI/litellm/tree/main.svg?style=svg)](https://dl.circleci.com/status-badge/redirect/gh/BerriAI/litellm/tree/main)
+![Downloads](https://img.shields.io/pypi/dm/litellm)
+[![litellm](https://img.shields.io/badge/%20%F0%9F%9A%85%20liteLLM-OpenAI%7CAzure%7CAnthropic%7CPalm%7CCohere%7CReplicate%7CHugging%20Face-blue?color=green)](https://github.com/BerriAI/litellm)
 
-###### litellm manages:
-* Calling all LLM APIs using the OpenAI format - `completion(model, messages)`
-* Consistent output for all LLM APIs, text responses will always be available at `['choices'][0]['message']['content']`
-* Consistent Exceptions for all LLM APIs, we map RateLimit, Context Window, and Authentication Error exceptions across all providers to their OpenAI equivalents. [see Code](https://github.com/BerriAI/litellm/blob/ba1079ff6698ef238c5c7f771dd2b698ec76f8d9/litellm/utils.py#L250)
+[![](https://dcbadge.vercel.app/api/server/wuPM9dRgDw)](https://discord.gg/wuPM9dRgDw)
 
-###### observability:
-* Logging - see exactly what the raw model request/response is by plugging in your own function `completion(.., logger_fn=your_logging_fn)` and/or print statements from the package `litellm.set_verbose=True`
-* Callbacks - automatically send your data to Helicone, Sentry, Posthog, Slack - `litellm.success_callbacks`, `litellm.failure_callbacks` [see Callbacks](https://litellm.readthedocs.io/en/latest/advanced/)
+a light package to simplify calling OpenAI, Azure, Cohere, Anthropic, Huggingface API Endpoints. It manages: 
+- translating inputs to the provider's completion and embedding endpoints
+- guarantees [consistent output](https://litellm.readthedocs.io/en/latest/output/), text responses will always be available at `['choices'][0]['message']['content']`
+- exception mapping - common exceptions across providers are mapped to the [OpenAI exception types](https://help.openai.com/en/articles/6897213-openai-library-error-types-guidance)
+# usage
+<a href='https://docs.litellm.ai/docs/completion/supported' target="_blank"><img alt='None' src='https://img.shields.io/badge/Supported_LLMs-100000?style=for-the-badge&logo=None&logoColor=000000&labelColor=000000&color=8400EA'/></a>
 
-## Quick Start
-Go directly to code: [Getting Started Notebook](https://colab.research.google.com/drive/1gR3pY-JzDZahzpVdbGBtrNGDBmzUNJaJ?usp=sharing)
-### Installation
+Demo - https://litellm.ai/playground \
+Read the docs - https://docs.litellm.ai/docs/
+
+## quick start
 ```
 pip install litellm
 ```
 
-### Usage
 ```python
 from litellm import completion
 
@@ -33,11 +37,32 @@ response = completion(model="gpt-3.5-turbo", messages=messages)
 # cohere call
 response = completion("command-nightly", messages)
 ```
-Need Help / Support : [see troubleshooting](https://litellm.readthedocs.io/en/latest/troubleshoot)
+Code Sample: [Getting Started Notebook](https://colab.research.google.com/drive/1gR3pY-JzDZahzpVdbGBtrNGDBmzUNJaJ?usp=sharing)
 
-## Why did we build liteLLM 
+Stable version
+```
+pip install litellm==0.1.345
+```
+
+## Streaming Queries
+liteLLM supports streaming the model response back, pass `stream=True` to get a streaming iterator in response.
+Streaming is supported for OpenAI, Azure, Anthropic, Huggingface models
+```python
+response = completion(model="gpt-3.5-turbo", messages=messages, stream=True)
+for chunk in response:
+    print(chunk['choices'][0]['delta'])
+
+# claude 2
+result = completion('claude-2', messages, stream=True)
+for chunk in result:
+  print(chunk['choices'][0]['delta'])
+```
+
+# support / talk with founders
+- [Our calendar 👋](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version)
+- [Community Discord 💭](https://discord.gg/wuPM9dRgDw)
+- Our numbers 📞 +1 (770) 8783-106 / ‭+1 (412) 618-6238‬
+- Our emails ✉️ ishaan@berri.ai / krrish@berri.ai
+
+# why did we build this 
 - **Need for simplicity**: Our code started to get extremely complicated managing & translating calls between Azure, OpenAI, Cohere
-
-## Support
-* [Meet with us 👋](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version)
-* Contact us at ishaan@berri.ai / krrish@berri.ai
diff --git a/docs/my-website/docusaurus.config.js b/docs/my-website/docusaurus.config.js
index fd82f52c2..81d1cc8d4 100644
--- a/docs/my-website/docusaurus.config.js
+++ b/docs/my-website/docusaurus.config.js
@@ -6,8 +6,9 @@ const darkCodeTheme = require('prism-react-renderer/themes/dracula');
 
 /** @type {import('@docusaurus/types').Config} */
 const config = {
-  title: 'LiteLLM',
+  title: 'liteLLM',
   tagline: 'Simplify LLM API Calls',
+  favicon: 'static/img/favicon.ico', 
 
   // Set the production url of your site here
   url: 'https://litellm.vercel.app/',