with new README

cookbook/proxy-server/readme.md

@@ -6,9 +6,9 @@
 ![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)
 
-[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/_YF4Qj?referralCode=t3ukrU)
+[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/DYqQAW?referralCode=t3ukrU)
 
-# What does liteLLM proxy do
+## What does liteLLM proxy do
 - Make `/chat/completions` requests for 50+ LLM models **Azure, OpenAI, Replicate, Anthropic, Hugging Face**
   
   Example: for `model` use `claude-2`, `gpt-3.5`, `gpt-4`, `command-nightly`, `stabilityai/stablecode-completion-alpha-3b-4k`
@@ -24,12 +24,12 @@
   }
   ```
 - **Consistent Input/Output** Format
-    - Call all models using the OpenAI format - completion(model, messages)
-    - Text responses will always be available at ['choices'][0]['message']['content']
+    - Call all models using the OpenAI format - `completion(model, messages)`
+    - Text responses will always be available at `['choices'][0]['message']['content']`
 - **Error Handling** Using Model Fallbacks (if `GPT-4` fails, try `llama2`)
 - **Logging** - Log Requests, Responses and Errors to `Supabase`, `Posthog`, `Mixpanel`, `Sentry`, `Helicone` (Any of the supported providers here: https://litellm.readthedocs.io/en/latest/advanced/
 
-  Example: Logs sent to Supabase
+ **Example: Logs sent to Supabase**
   <img width="1015" alt="Screenshot 2023-08-11 at 4 02 46 PM" src="https://github.com/ishaan-jaff/proxy-server/assets/29436595/237557b8-ba09-4917-982c-8f3e1b2c8d08">
 
 - **Token Usage & Spend** - Track Input + Completion tokens used + Spend/model
@@ -118,7 +118,41 @@ All responses from the server are returned in the following format (for all LLM
 }
 ```
 
-
-
+## Installation & Usage
+### Running Locally
+1. Clone liteLLM repository to your local machine:
+   ```
+   git clone https://github.com/BerriAI/liteLLM-proxy
+   ```
+2. Install the required dependencies using pip
+   ```
+   pip install requirements.txt
+   ```
+3. Set your LLM API keys
+   ```
+   os.environ['OPENAI_API_KEY]` = "YOUR_API_KEY"
+   or
+   set OPENAI_API_KEY in your .env file
+   ```
+4. Run the server:
+   ```
+   python main.py
+   ```
+
+   
+
+Deploying
+1. Quick Start: Deploy on Railway
+
+   [![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/DYqQAW?referralCode=t3ukrU)
+   
+2. `GCP`, `AWS`, `Azure` 
+This project includes a `Dockerfile` allowing you to build and deploy a Docker Project on your providers
+
+# 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