updating docs

2023-08-12 11:30:32 -07:00 · 2023-08-12 11:30:32 -07:00 · dc6e93f0d0
commit dc6e93f0d0
parent 80d77fed71
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--- a/docs/my-website/.gitignore
+++ b/docs/my-website/.gitignore
@ -0,0 +1,20 @@
+# Dependencies
+/node_modules
+
+# Production
+/build
+
+# Generated files
+.docusaurus
+.cache-loader
+
+# Misc
+.DS_Store
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
--- a/docs/my-website/README.md
+++ b/docs/my-website/README.md
@ -0,0 +1,41 @@
+# Website
+
+This website is built using [Docusaurus 2](https://docusaurus.io/), a modern static website generator.
+
+### Installation
+
+```
+$ yarn
+```
+
+### Local Development
+
+```
+$ yarn start
+```
+
+This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
+
+### Build
+
+```
+$ yarn build
+```
+
+This command generates static content into the `build` directory and can be served using any static contents hosting service.
+
+### Deployment
+
+Using SSH:
+
+```
+$ USE_SSH=true yarn deploy
+```
+
+Not using SSH:
+
+```
+$ GIT_USER=<Your GitHub username> yarn deploy
+```
+
+If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the `gh-pages` branch.
--- a/docs/my-website/babel.config.js
+++ b/docs/my-website/babel.config.js
@ -0,0 +1,3 @@
+module.exports = {
+  presets: [require.resolve('@docusaurus/core/lib/babel/preset')],
+};
--- a/docs/my-website/blog/2019-05-28-first-blog-post.md
+++ b/docs/my-website/blog/2019-05-28-first-blog-post.md
@ -0,0 +1,12 @@
+---
+slug: first-blog-post
+title: First Blog Post
+authors:
+  name: Gao Wei
+  title: Docusaurus Core Team
+  url: https://github.com/wgao19
+  image_url: https://github.com/wgao19.png
+tags: [hola, docusaurus]
+---
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
--- a/docs/my-website/blog/2019-05-29-long-blog-post.md
+++ b/docs/my-website/blog/2019-05-29-long-blog-post.md
@ -0,0 +1,44 @@
+---
+slug: long-blog-post
+title: Long Blog Post
+authors: endi
+tags: [hello, docusaurus]
+---
+
+This is the summary of a very long blog post,
+
+Use a `<!--` `truncate` `-->` comment to limit blog post size in the list view.
+
+<!--truncate-->
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
+
+Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet
--- a/docs/my-website/blog/2021-08-01-mdx-blog-post.mdx
+++ b/docs/my-website/blog/2021-08-01-mdx-blog-post.mdx
@ -0,0 +1,20 @@
+---
+slug: mdx-blog-post
+title: MDX Blog Post
+authors: [slorber]
+tags: [docusaurus]
+---
+
+Blog posts support [Docusaurus Markdown features](https://docusaurus.io/docs/markdown-features), such as [MDX](https://mdxjs.com/).
+
+:::tip
+
+Use the power of React to create interactive blog posts.
+
+```js
+<button onClick={() => alert('button clicked!')}>Click me!</button>
+```
+
+<button onClick={() => alert('button clicked!')}>Click me!</button>
+
+:::
--- a/docs/my-website/blog/2021-08-26-welcome/docusaurus-plushie-banner.jpeg
+++ b/docs/my-website/blog/2021-08-26-welcome/docusaurus-plushie-banner.jpeg
--- a/docs/my-website/blog/2021-08-26-welcome/index.md
+++ b/docs/my-website/blog/2021-08-26-welcome/index.md
@ -0,0 +1,25 @@
+---
+slug: welcome
+title: Welcome
+authors: [slorber, yangshun]
+tags: [facebook, hello, docusaurus]
+---
+
+[Docusaurus blogging features](https://docusaurus.io/docs/blog) are powered by the [blog plugin](https://docusaurus.io/docs/api/plugins/@docusaurus/plugin-content-blog).
+
+Simply add Markdown files (or folders) to the `blog` directory.
+
+Regular blog authors can be added to `authors.yml`.
+
+The blog post date can be extracted from filenames, such as:
+
+- `2019-05-30-welcome.md`
+- `2019-05-30-welcome/index.md`
+
+A blog post folder can be convenient to co-locate blog post images:
+
+![Docusaurus Plushie](./docusaurus-plushie-banner.jpeg)
+
+The blog supports tags as well!
+
+**And if you don't want a blog**: just delete this directory, and use `blog: false` in your Docusaurus config.
--- a/docs/my-website/blog/authors.yml
+++ b/docs/my-website/blog/authors.yml
@ -0,0 +1,17 @@
+endi:
+  name: Endilie Yacop Sucipto
+  title: Maintainer of Docusaurus
+  url: https://github.com/endiliey
+  image_url: https://github.com/endiliey.png
+
+yangshun:
+  name: Yangshun Tay
+  title: Front End Engineer @ Facebook
+  url: https://github.com/yangshun
+  image_url: https://github.com/yangshun.png
+
+slorber:
+  name: Sébastien Lorber
+  title: Docusaurus maintainer
+  url: https://sebastienlorber.com
+  image_url: https://github.com/slorber.png
--- a/docs/my-website/docs/completion/input.md
+++ b/docs/my-website/docs/completion/input.md
@ -0,0 +1,58 @@
+# Completion Function - completion()
+The Input params are **exactly the same** as the 
+<a href="https://platform.openai.com/docs/api-reference/chat/create" target="_blank" rel="noopener noreferrer">OpenAI Create chat completion</a>, and let you call **Azure OpenAI, Anthropic, Cohere, Replicate, OpenRouter** models in the same format. 
+
+In addition, liteLLM allows you to pass in the following **Optional** liteLLM args:
+`force_timeout`, `azure`, `logger_fn`, `verbose`
+
+## Input - Request Body
+# Request Body
+
+**Required Fields**
+
+- `model`: *string* - ID of the model to use. Refer to the model endpoint compatibility table for details on which models work with the Chat API.
+  
+- `messages`: *array* - A list of messages comprising the conversation so far.
+
+*Note* - Each message in the array contains the following properties:
+
+    - `role`: *string* - The role of the message's author. Roles can be: system, user, assistant, or function.
+    
+    - `content`: *string or null* - The contents of the message. It is required for all messages, but may be null for assistant messages with function calls.
+    
+    - `name`: *string (optional)* - The name of the author of the message. It is required if the role is "function". The name should match the name of the function represented in the content. It can contain characters (a-z, A-Z, 0-9), and underscores, with a maximum length of 64 characters.
+    
+    - `function_call`: *object (optional)* - The name and arguments of a function that should be called, as generated by the model.
+
+
+**Optional Fields**
+
+- `functions`: *array* - A list of functions that the model may use to generate JSON inputs. Each function should have the following properties:
+
+    - `name`: *string* - The name of the function to be called. It should contain a-z, A-Z, 0-9, underscores and dashes, with a maximum length of 64 characters.
+    
+    - `description`: *string (optional)* - A description explaining what the function does. It helps the model to decide when and how to call the function.
+    
+    - `parameters`: *object* - The parameters that the function accepts, described as a JSON Schema object.
+    
+    - `function_call`: *string or object (optional)* - Controls how the model responds to function calls.
+
+- `temperature`: *number or null (optional)* - The sampling temperature to be used, between 0 and 2. Higher values like 0.8 produce more random outputs, while lower values like 0.2 make outputs more focused and deterministic. 
+
+- `top_p`: *number or null (optional)* - An alternative to sampling with temperature. It instructs the model to consider the results of the tokens with top_p probability. For example, 0.1 means only the tokens comprising the top 10% probability mass are considered.
+
+- `n`: *integer or null (optional)* - The number of chat completion choices to generate for each input message.
+
+- `stream`: *boolean or null (optional)* - If set to true, it sends partial message deltas. Tokens will be sent as they become available, with the stream terminated by a [DONE] message.
+
+- `stop`: *string/ array/ null (optional)* - Up to 4 sequences where the API will stop generating further tokens.
+
+- `max_tokens`: *integer (optional)* - The maximum number of tokens to generate in the chat completion.
+
+- `presence_penalty`: *number or null (optional)* - It is used to penalize new tokens based on their existence in the text so far.
+
+- `frequency_penalty`: *number or null (optional)* - It is used to penalize new tokens based on their frequency in the text so far.
+
+- `logit_bias`: *map (optional)* - Used to modify the probability of specific tokens appearing in the completion.
+
+- `user`: *string (optional)* - A unique identifier representing your end-user. This can help OpenAI to monitor and detect abuse.
--- a/docs/my-website/docs/completion/output.md
+++ b/docs/my-website/docs/completion/output.md
@ -0,0 +1,12 @@
+# Completion Function - completion()
+Here's the exact json output you can expect from a litellm `completion` call:
+
+```python 
+{'choices': [{'finish_reason': 'stop',
+   'index': 0,
+   'message': {'role': 'assistant',
+    'content': " I'm doing well, thank you for asking. I am Claude, an AI assistant created by Anthropic."}}],
+ 'created': 1691429984.3852863,
+ 'model': 'claude-instant-1',
+ 'usage': {'prompt_tokens': 18, 'completion_tokens': 23, 'total_tokens': 41}}
+```
--- a/docs/my-website/docs/completion/supported.md
+++ b/docs/my-website/docs/completion/supported.md
@ -0,0 +1,72 @@
+# Generation/Completion/Chat Completion Models
+
+### OpenAI Chat Completion Models
+
+| Model Name       | Function Call                          | Required OS Variables                |
+|------------------|----------------------------------------|--------------------------------------|
+| gpt-3.5-turbo    | `completion('gpt-3.5-turbo', messages)` | `os.environ['OPENAI_API_KEY']`       |
+| gpt-3.5-turbo-16k    | `completion('gpt-3.5-turbo-16k', messages)` | `os.environ['OPENAI_API_KEY']`       |
+| gpt-3.5-turbo-16k-0613    | `completion('gpt-3.5-turbo-16k-0613', messages)` | `os.environ['OPENAI_API_KEY']`       |
+| gpt-4            | `completion('gpt-4', messages)`         | `os.environ['OPENAI_API_KEY']`       |
+
+## Azure OpenAI Chat Completion Models
+
+| Model Name       | Function Call                           | Required OS Variables                     |
+|------------------|-----------------------------------------|-------------------------------------------|
+| gpt-3.5-turbo    | `completion('gpt-3.5-turbo', messages, azure=True)` | `os.environ['AZURE_API_KEY']`,`os.environ['AZURE_API_BASE']`,`os.environ['AZURE_API_VERSION']` |
+| gpt-4            | `completion('gpt-4', messages, azure=True)`         | `os.environ['AZURE_API_KEY']`,`os.environ['AZURE_API_BASE']`,`os.environ['AZURE_API_VERSION']` |
+
+### OpenAI Text Completion Models
+
+| Model Name       | Function Call                              | Required OS Variables                |
+|------------------|--------------------------------------------|--------------------------------------|
+| text-davinci-003 | `completion('text-davinci-003', messages)` | `os.environ['OPENAI_API_KEY']`       |
+
+### Cohere Models
+
+| Model Name       | Function Call                              | Required OS Variables                |
+|------------------|--------------------------------------------|--------------------------------------|
+| command-nightly  | `completion('command-nightly', messages)` | `os.environ['COHERE_API_KEY']`       |
+
+
+### Anthropic Models
+
+| Model Name       | Function Call                              | Required OS Variables                |
+|------------------|--------------------------------------------|--------------------------------------|
+| claude-instant-1  | `completion('claude-instant-1', messages)` | `os.environ['ANTHROPIC_API_KEY']`       |
+| claude-2  | `completion('claude-2', messages)` | `os.environ['ANTHROPIC_API_KEY']`       |
+
+### Hugging Face Inference API
+
+All [`text2text-generation`](https://huggingface.co/models?library=transformers&pipeline_tag=text2text-generation&sort=downloads) and [`text-generation`](https://huggingface.co/models?library=transformers&pipeline_tag=text-generation&sort=downloads) models are supported by liteLLM. You can use any text model from Hugging Face with the following steps:
+
+* Copy the `model repo` URL from Hugging Face and set it as the `model` parameter in the completion call.
+* Set `hugging_face` parameter to `True`.
+* Make sure to set the hugging face API key
+
+Here are some examples of supported models:
+**Note that the models mentioned in the table are examples, and you can use any text model available on Hugging Face by following the steps above.**
+
+| Model Name       | Function Call                                                                       | Required OS Variables                |
+|------------------|-------------------------------------------------------------------------------------|--------------------------------------|
+| [stabilityai/stablecode-completion-alpha-3b-4k](https://huggingface.co/stabilityai/stablecode-completion-alpha-3b-4k)  | `completion(model="stabilityai/stablecode-completion-alpha-3b-4k", messages=messages, hugging_face=True)` | `os.environ['HF_TOKEN']`       |
+| [bigcode/starcoder](https://huggingface.co/bigcode/starcoder)                           | `completion(model="bigcode/starcoder", messages=messages, hugging_face=True)`          | `os.environ['HF_TOKEN']`       |
+| [google/flan-t5-xxl](https://huggingface.co/google/flan-t5-xxl)                         | `completion(model="google/flan-t5-xxl", messages=messages, hugging_face=True)`         | `os.environ['HF_TOKEN']`       |
+| [google/flan-t5-large](https://huggingface.co/google/flan-t5-large)                     | `completion(model="google/flan-t5-large", messages=messages, hugging_face=True)`       | `os.environ['HF_TOKEN']`       |
+
+### OpenRouter Completion Models
+
+All the text models from [OpenRouter](https://openrouter.ai/docs) are supported by liteLLM.
+
+| Model Name       | Function Call                              | Required OS Variables                |
+|------------------|--------------------------------------------|--------------------------------------|
+| openai/gpt-3.5-turbo | `completion('openai/gpt-3.5-turbo', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| openai/gpt-3.5-turbo-16k | `completion('openai/gpt-3.5-turbo-16k', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| openai/gpt-4 | `completion('openai/gpt-4', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| openai/gpt-4-32k | `completion('openai/gpt-4-32k', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| anthropic/claude-2 | `completion('anthropic/claude-2', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| anthropic/claude-instant-v1 | `completion('anthropic/claude-instant-v1', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| google/palm-2-chat-bison | `completion('google/palm-2-chat-bison', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| google/palm-2-codechat-bison | `completion('google/palm-2-codechat-bison', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| meta-llama/llama-2-13b-chat | `completion('meta-llama/llama-2-13b-chat', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| meta-llama/llama-2-70b-chat | `completion('meta-llama/llama-2-70b-chat', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
--- a/docs/my-website/docs/contact.md
+++ b/docs/my-website/docs/contact.md
--- a/docs/my-website/docs/contributing.md
+++ b/docs/my-website/docs/contributing.md
@ -0,0 +1,35 @@
+# Contributing to Documentation
+
+Clone litellm 
+```
+git clone https://github.com/BerriAI/litellm.git
+```
+
+### Local setup for locally running docs
+
+#### Installation
+```
+pip install mkdocs
+```
+
+#### Locally Serving Docs
+```
+mkdocs serve
+```
+If you see `command not found: mkdocs` try running the following
+```
+python3 -m mkdocs serve
+```
+
+This command builds your Markdown files into HTML and starts a development server to browse your documentation. Open up [http://127.0.0.1:8000/](http://127.0.0.1:8000/) in your web browser to see your documentation. You can make changes to your Markdown files and your docs will automatically rebuild.
+
+[Full tutorial here](https://docs.readthedocs.io/en/stable/intro/getting-started-with-mkdocs.html)
+
+### Making changes to Docs
+- All the docs are placed under the `docs` directory
+- If you are adding a new `.md` file or editing the hierarchy edit `mkdocs.yml` in the root of the project
+- After testing your changes, make a change to the `main` branch of [github.com/BerriAI/litellm](https://github.com/BerriAI/litellm)
+
+
+
+
--- a/docs/my-website/docs/embedding/supported_embedding.md
+++ b/docs/my-website/docs/embedding/supported_embedding.md
@ -0,0 +1,5 @@
+# Embedding Models
+
+| Model Name           | Function Call                               | Required OS Variables                |
+|----------------------|---------------------------------------------|--------------------------------------|
+| text-embedding-ada-002 | `embedding('text-embedding-ada-002', input)` | `os.environ['OPENAI_API_KEY']`       |
--- a/docs/my-website/docs/index.md
+++ b/docs/my-website/docs/index.md
@ -0,0 +1,43 @@
+# 🚅 litellm
+a light 100 line package to simplify calling OpenAI, Azure, Cohere, Anthropic APIs 
+
+###### 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)
+
+###### 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/)
+
+## Quick Start
+Go directly to code: [Getting Started Notebook](https://colab.research.google.com/drive/1gR3pY-JzDZahzpVdbGBtrNGDBmzUNJaJ?usp=sharing)
+### Installation
+```
+pip install litellm
+```
+
+### Usage
+```python
+from litellm import completion
+
+## set ENV variables
+os.environ["OPENAI_API_KEY"] = "openai key"
+os.environ["COHERE_API_KEY"] = "cohere key"
+
+messages = [{ "content": "Hello, how are you?","role": "user"}]
+
+# openai call
+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)
+
+## Why did we build liteLLM 
+- **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
--- a/docs/my-website/docs/intro.md
+++ b/docs/my-website/docs/intro.md
@ -0,0 +1,47 @@
+---
+sidebar_position: 1
+---
+
+# Tutorial Intro
+
+Let's discover **Docusaurus in less than 5 minutes**.
+
+## Getting Started
+
+Get started by **creating a new site**.
+
+Or **try Docusaurus immediately** with **[docusaurus.new](https://docusaurus.new)**.
+
+### What you'll need
+
+- [Node.js](https://nodejs.org/en/download/) version 16.14 or above:
+  - When installing Node.js, you are recommended to check all checkboxes related to dependencies.
+
+## Generate a new site
+
+Generate a new Docusaurus site using the **classic template**.
+
+The classic template will automatically be added to your project after you run the command:
+
+```bash
+npm init docusaurus@latest my-website classic
+```
+
+You can type this command into Command Prompt, Powershell, Terminal, or any other integrated terminal of your code editor.
+
+The command also installs all necessary dependencies you need to run Docusaurus.
+
+## Start your site
+
+Run the development server:
+
+```bash
+cd my-website
+npm run start
+```
+
+The `cd` command changes the directory you're working with. In order to work with your newly created Docusaurus site, you'll need to navigate the terminal there.
+
+The `npm run start` command builds your website locally and serves it through a development server, ready for you to view at http://localhost:3000/.
+
+Open `docs/intro.md` (this page) and edit some lines: the site **reloads automatically** and displays your changes.
--- a/docs/my-website/docs/observability/callbacks.md
+++ b/docs/my-website/docs/observability/callbacks.md
@ -0,0 +1,29 @@
+# Callbacks
+
+## Use Callbacks to send Output Data to Posthog, Sentry etc
+liteLLM provides `success_callbacks` and `failure_callbacks`, making it easy for you to send data to a particular provider depending on the status of your responses. 
+
+liteLLM supports: 
+
+- [Helicone](https://docs.helicone.ai/introduction)
+- [Sentry](https://docs.sentry.io/platforms/python/) 
+- [PostHog](https://posthog.com/docs/libraries/python)
+- [Slack](https://slack.dev/bolt-python/concepts)
+
+### Quick Start
+```python
+from litellm import completion
+
+# set callbacks
+litellm.success_callback=["posthog", "helicone"]
+litellm.failure_callback=["sentry"]
+
+## set env variables
+os.environ['SENTRY_API_URL'], os.environ['SENTRY_API_TRACE_RATE']= ""
+os.environ['POSTHOG_API_KEY'], os.environ['POSTHOG_API_URL'] = "api-key", "api-url"
+os.environ["HELICONE_API_KEY"] = "" 
+
+response = completion(model="gpt-3.5-turbo", messages=messages) 
+```
+
+
--- a/docs/my-website/docs/observability/helicone_integration.md
+++ b/docs/my-website/docs/observability/helicone_integration.md
--- a/docs/my-website/docs/observability/integrations.md
+++ b/docs/my-website/docs/observability/integrations.md
@ -0,0 +1,12 @@
+# Logging Integrations
+
+| Integration     | Required OS Variables                      | How to Use with callbacks             |
+|-----------------|--------------------------------------------|-------------------------------------------|
+| Sentry          | `SENTRY_API_URL`                          | `litellm.success_callback=["sentry"]`  |
+| Posthog         | `POSTHOG_API_KEY`,`POSTHOG_API_URL`   | `litellm.success_callback=["posthog"]` |
+| Slack           | `SLACK_API_TOKEN`,`SLACK_API_SECRET`,`SLACK_API_CHANNEL` | `litellm.success_callback=["slack"]`      |
+| Helicone           | `HELICONE_API_TOKEN` | `litellm.success_callback=["helicone"]`      |
+
+
+
+
--- a/docs/my-website/docs/observability/supabase_integration.md
+++ b/docs/my-website/docs/observability/supabase_integration.md
--- a/docs/my-website/docs/secret.md
+++ b/docs/my-website/docs/secret.md
@ -0,0 +1,33 @@
+# Secret Managers
+liteLLM reads secrets from yoour secret manager, .env file 
+
+- [Infisical Secret Manager](#infisical-secret-manager)
+- [.env Files](#env-files)
+
+For expected format of secrets see [supported LLM models](https://litellm.readthedocs.io/en/latest/supported)
+
+## Infisical Secret Manager
+Integrates with [Infisical's Secret Manager](https://infisical.com/) for secure storage and retrieval of API keys and sensitive data.
+
+### Usage
+liteLLM manages reading in your LLM API secrets/env variables from Infisical for you
+
+```
+import litellm
+from infisical import InfisicalClient
+
+litellm.secret_manager = InfisicalClient(token="your-token")
+
+messages = [
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": "What's the weather like today?"},
+]
+
+response = litellm.completion(model="gpt-3.5-turbo", messages=messages)
+
+print(response)
+```
+
+
+## .env Files
+If no secret manager client is specified, Litellm automatically uses the `.env` file to manage sensitive data.
--- a/docs/my-website/docs/stream.md
+++ b/docs/my-website/docs/stream.md
--- a/docs/my-website/docs/token_usage.md
+++ b/docs/my-website/docs/token_usage.md
--- a/docs/my-website/docs/troubleshoot.md
+++ b/docs/my-website/docs/troubleshoot.md
@ -0,0 +1,11 @@
+# Troubleshooting 
+
+## Stable Version
+
+If you're running into problems with installation / Usage 
+Use the stable version of litellm 
+
+```
+pip install litellm==0.1.345
+```
+
--- a/docs/my-website/docs/tutorial-basics/_category_.json
+++ b/docs/my-website/docs/tutorial-basics/_category_.json
@ -0,0 +1,8 @@
+{
+  "label": "Tutorial - Basics",
+  "position": 2,
+  "link": {
+    "type": "generated-index",
+    "description": "5 minutes to learn the most important Docusaurus concepts."
+  }
+}
--- a/docs/my-website/docs/tutorial-basics/congratulations.md
+++ b/docs/my-website/docs/tutorial-basics/congratulations.md
@ -0,0 +1,23 @@
+---
+sidebar_position: 6
+---
+
+# Congratulations!
+
+You have just learned the **basics of Docusaurus** and made some changes to the **initial template**.
+
+Docusaurus has **much more to offer**!
+
+Have **5 more minutes**? Take a look at **[versioning](../tutorial-extras/manage-docs-versions.md)** and **[i18n](../tutorial-extras/translate-your-site.md)**.
+
+Anything **unclear** or **buggy** in this tutorial? [Please report it!](https://github.com/facebook/docusaurus/discussions/4610)
+
+## What's next?
+
+- Read the [official documentation](https://docusaurus.io/)
+- Modify your site configuration with [`docusaurus.config.js`](https://docusaurus.io/docs/api/docusaurus-config)
+- Add navbar and footer items with [`themeConfig`](https://docusaurus.io/docs/api/themes/configuration)
+- Add a custom [Design and Layout](https://docusaurus.io/docs/styling-layout)
+- Add a [search bar](https://docusaurus.io/docs/search)
+- Find inspirations in the [Docusaurus showcase](https://docusaurus.io/showcase)
+- Get involved in the [Docusaurus Community](https://docusaurus.io/community/support)
--- a/docs/my-website/docs/tutorial-basics/create-a-blog-post.md
+++ b/docs/my-website/docs/tutorial-basics/create-a-blog-post.md
@ -0,0 +1,34 @@
+---
+sidebar_position: 3
+---
+
+# Create a Blog Post
+
+Docusaurus creates a **page for each blog post**, but also a **blog index page**, a **tag system**, an **RSS** feed...
+
+## Create your first Post
+
+Create a file at `blog/2021-02-28-greetings.md`:
+
+```md title="blog/2021-02-28-greetings.md"
+---
+slug: greetings
+title: Greetings!
+authors:
+  - name: Joel Marcey
+    title: Co-creator of Docusaurus 1
+    url: https://github.com/JoelMarcey
+    image_url: https://github.com/JoelMarcey.png
+  - name: Sébastien Lorber
+    title: Docusaurus maintainer
+    url: https://sebastienlorber.com
+    image_url: https://github.com/slorber.png
+tags: [greetings]
+---
+
+Congratulations, you have made your first post!
+
+Feel free to play around and edit this post as much you like.
+```
+
+A new blog post is now available at [http://localhost:3000/blog/greetings](http://localhost:3000/blog/greetings).
--- a/docs/my-website/docs/tutorial-basics/create-a-document.md
+++ b/docs/my-website/docs/tutorial-basics/create-a-document.md
@ -0,0 +1,57 @@
+---
+sidebar_position: 2
+---
+
+# Create a Document
+
+Documents are **groups of pages** connected through:
+
+- a **sidebar**
+- **previous/next navigation**
+- **versioning**
+
+## Create your first Doc
+
+Create a Markdown file at `docs/hello.md`:
+
+```md title="docs/hello.md"
+# Hello
+
+This is my **first Docusaurus document**!
+```
+
+A new document is now available at [http://localhost:3000/docs/hello](http://localhost:3000/docs/hello).
+
+## Configure the Sidebar
+
+Docusaurus automatically **creates a sidebar** from the `docs` folder.
+
+Add metadata to customize the sidebar label and position:
+
+```md title="docs/hello.md" {1-4}
+---
+sidebar_label: 'Hi!'
+sidebar_position: 3
+---
+
+# Hello
+
+This is my **first Docusaurus document**!
+```
+
+It is also possible to create your sidebar explicitly in `sidebars.js`:
+
+```js title="sidebars.js"
+module.exports = {
+  tutorialSidebar: [
+    'intro',
+    // highlight-next-line
+    'hello',
+    {
+      type: 'category',
+      label: 'Tutorial',
+      items: ['tutorial-basics/create-a-document'],
+    },
+  ],
+};
+```
--- a/docs/my-website/docs/tutorial-basics/create-a-page.md
+++ b/docs/my-website/docs/tutorial-basics/create-a-page.md
@ -0,0 +1,43 @@
+---
+sidebar_position: 1
+---
+
+# Create a Page
+
+Add **Markdown or React** files to `src/pages` to create a **standalone page**:
+
+- `src/pages/index.js` → `localhost:3000/`
+- `src/pages/foo.md` → `localhost:3000/foo`
+- `src/pages/foo/bar.js` → `localhost:3000/foo/bar`
+
+## Create your first React Page
+
+Create a file at `src/pages/my-react-page.js`:
+
+```jsx title="src/pages/my-react-page.js"
+import React from 'react';
+import Layout from '@theme/Layout';
+
+export default function MyReactPage() {
+  return (
+    <Layout>
+      <h1>My React page</h1>
+      <p>This is a React page</p>
+    </Layout>
+  );
+}
+```
+
+A new page is now available at [http://localhost:3000/my-react-page](http://localhost:3000/my-react-page).
+
+## Create your first Markdown Page
+
+Create a file at `src/pages/my-markdown-page.md`:
+
+```mdx title="src/pages/my-markdown-page.md"
+# My Markdown page
+
+This is a Markdown page
+```
+
+A new page is now available at [http://localhost:3000/my-markdown-page](http://localhost:3000/my-markdown-page).
--- a/docs/my-website/docs/tutorial-basics/deploy-your-site.md
+++ b/docs/my-website/docs/tutorial-basics/deploy-your-site.md
@ -0,0 +1,31 @@
+---
+sidebar_position: 5
+---
+
+# Deploy your site
+
+Docusaurus is a **static-site-generator** (also called **[Jamstack](https://jamstack.org/)**).
+
+It builds your site as simple **static HTML, JavaScript and CSS files**.
+
+## Build your site
+
+Build your site **for production**:
+
+```bash
+npm run build
+```
+
+The static files are generated in the `build` folder.
+
+## Deploy your site
+
+Test your production build locally:
+
+```bash
+npm run serve
+```
+
+The `build` folder is now served at [http://localhost:3000/](http://localhost:3000/).
+
+You can now deploy the `build` folder **almost anywhere** easily, **for free** or very small cost (read the **[Deployment Guide](https://docusaurus.io/docs/deployment)**).
--- a/docs/my-website/docs/tutorial-basics/markdown-features.mdx
+++ b/docs/my-website/docs/tutorial-basics/markdown-features.mdx
@ -0,0 +1,150 @@
+---
+sidebar_position: 4
+---
+
+# Markdown Features
+
+Docusaurus supports **[Markdown](https://daringfireball.net/projects/markdown/syntax)** and a few **additional features**.
+
+## Front Matter
+
+Markdown documents have metadata at the top called [Front Matter](https://jekyllrb.com/docs/front-matter/):
+
+```text title="my-doc.md"
+// highlight-start
+---
+id: my-doc-id
+title: My document title
+description: My document description
+slug: /my-custom-url
+---
+// highlight-end
+
+## Markdown heading
+
+Markdown text with [links](./hello.md)
+```
+
+## Links
+
+Regular Markdown links are supported, using url paths or relative file paths.
+
+```md
+Let's see how to [Create a page](/create-a-page).
+```
+
+```md
+Let's see how to [Create a page](./create-a-page.md).
+```
+
+**Result:** Let's see how to [Create a page](./create-a-page.md).
+
+## Images
+
+Regular Markdown images are supported.
+
+You can use absolute paths to reference images in the static directory (`static/img/docusaurus.png`):
+
+```md
+![Docusaurus logo](/img/docusaurus.png)
+```
+
+![Docusaurus logo](/img/docusaurus.png)
+
+You can reference images relative to the current file as well. This is particularly useful to colocate images close to the Markdown files using them:
+
+```md
+![Docusaurus logo](./img/docusaurus.png)
+```
+
+## Code Blocks
+
+Markdown code blocks are supported with Syntax highlighting.
+
+    ```jsx title="src/components/HelloDocusaurus.js"
+    function HelloDocusaurus() {
+        return (
+            <h1>Hello, Docusaurus!</h1>
+        )
+    }
+    ```
+
+```jsx title="src/components/HelloDocusaurus.js"
+function HelloDocusaurus() {
+  return <h1>Hello, Docusaurus!</h1>;
+}
+```
+
+## Admonitions
+
+Docusaurus has a special syntax to create admonitions and callouts:
+
+    :::tip My tip
+
+    Use this awesome feature option
+
+    :::
+
+    :::danger Take care
+
+    This action is dangerous
+
+    :::
+
+:::tip My tip
+
+Use this awesome feature option
+
+:::
+
+:::danger Take care
+
+This action is dangerous
+
+:::
+
+## MDX and React Components
+
+[MDX](https://mdxjs.com/) can make your documentation more **interactive** and allows using any **React components inside Markdown**:
+
+```jsx
+export const Highlight = ({children, color}) => (
+  <span
+    style={{
+      backgroundColor: color,
+      borderRadius: '20px',
+      color: '#fff',
+      padding: '10px',
+      cursor: 'pointer',
+    }}
+    onClick={() => {
+      alert(`You clicked the color ${color} with label ${children}`)
+    }}>
+    {children}
+  </span>
+);
+
+This is <Highlight color="#25c2a0">Docusaurus green</Highlight> !
+
+This is <Highlight color="#1877F2">Facebook blue</Highlight> !
+```
+
+export const Highlight = ({children, color}) => (
+  <span
+    style={{
+      backgroundColor: color,
+      borderRadius: '20px',
+      color: '#fff',
+      padding: '10px',
+      cursor: 'pointer',
+    }}
+    onClick={() => {
+      alert(`You clicked the color ${color} with label ${children}`);
+    }}>
+    {children}
+  </span>
+);
+
+This is <Highlight color="#25c2a0">Docusaurus green</Highlight> !
+
+This is <Highlight color="#1877F2">Facebook blue</Highlight> !
--- a/docs/my-website/docs/tutorial-extras/_category_.json
+++ b/docs/my-website/docs/tutorial-extras/_category_.json
@ -0,0 +1,7 @@
+{
+  "label": "Tutorial - Extras",
+  "position": 3,
+  "link": {
+    "type": "generated-index"
+  }
+}
--- a/docs/my-website/docs/tutorial-extras/img/docsVersionDropdown.png
+++ b/docs/my-website/docs/tutorial-extras/img/docsVersionDropdown.png
--- a/docs/my-website/docs/tutorial-extras/img/localeDropdown.png
+++ b/docs/my-website/docs/tutorial-extras/img/localeDropdown.png
--- a/docs/my-website/docs/tutorial-extras/manage-docs-versions.md
+++ b/docs/my-website/docs/tutorial-extras/manage-docs-versions.md
@ -0,0 +1,55 @@
+---
+sidebar_position: 1
+---
+
+# Manage Docs Versions
+
+Docusaurus can manage multiple versions of your docs.
+
+## Create a docs version
+
+Release a version 1.0 of your project:
+
+```bash
+npm run docusaurus docs:version 1.0
+```
+
+The `docs` folder is copied into `versioned_docs/version-1.0` and `versions.json` is created.
+
+Your docs now have 2 versions:
+
+- `1.0` at `http://localhost:3000/docs/` for the version 1.0 docs
+- `current` at `http://localhost:3000/docs/next/` for the **upcoming, unreleased docs**
+
+## Add a Version Dropdown
+
+To navigate seamlessly across versions, add a version dropdown.
+
+Modify the `docusaurus.config.js` file:
+
+```js title="docusaurus.config.js"
+module.exports = {
+  themeConfig: {
+    navbar: {
+      items: [
+        // highlight-start
+        {
+          type: 'docsVersionDropdown',
+        },
+        // highlight-end
+      ],
+    },
+  },
+};
+```
+
+The docs version dropdown appears in your navbar:
+
+![Docs Version Dropdown](./img/docsVersionDropdown.png)
+
+## Update an existing version
+
+It is possible to edit versioned docs in their respective folder:
+
+- `versioned_docs/version-1.0/hello.md` updates `http://localhost:3000/docs/hello`
+- `docs/hello.md` updates `http://localhost:3000/docs/next/hello`
--- a/docs/my-website/docs/tutorial-extras/translate-your-site.md
+++ b/docs/my-website/docs/tutorial-extras/translate-your-site.md
@ -0,0 +1,88 @@
+---
+sidebar_position: 2
+---
+
+# Translate your site
+
+Let's translate `docs/intro.md` to French.
+
+## Configure i18n
+
+Modify `docusaurus.config.js` to add support for the `fr` locale:
+
+```js title="docusaurus.config.js"
+module.exports = {
+  i18n: {
+    defaultLocale: 'en',
+    locales: ['en', 'fr'],
+  },
+};
+```
+
+## Translate a doc
+
+Copy the `docs/intro.md` file to the `i18n/fr` folder:
+
+```bash
+mkdir -p i18n/fr/docusaurus-plugin-content-docs/current/
+
+cp docs/intro.md i18n/fr/docusaurus-plugin-content-docs/current/intro.md
+```
+
+Translate `i18n/fr/docusaurus-plugin-content-docs/current/intro.md` in French.
+
+## Start your localized site
+
+Start your site on the French locale:
+
+```bash
+npm run start -- --locale fr
+```
+
+Your localized site is accessible at [http://localhost:3000/fr/](http://localhost:3000/fr/) and the `Getting Started` page is translated.
+
+:::caution
+
+In development, you can only use one locale at a same time.
+
+:::
+
+## Add a Locale Dropdown
+
+To navigate seamlessly across languages, add a locale dropdown.
+
+Modify the `docusaurus.config.js` file:
+
+```js title="docusaurus.config.js"
+module.exports = {
+  themeConfig: {
+    navbar: {
+      items: [
+        // highlight-start
+        {
+          type: 'localeDropdown',
+        },
+        // highlight-end
+      ],
+    },
+  },
+};
+```
+
+The locale dropdown now appears in your navbar:
+
+![Locale Dropdown](./img/localeDropdown.png)
+
+## Build your localized site
+
+Build your site for a specific locale:
+
+```bash
+npm run build -- --locale fr
+```
+
+Or build your site to include all the locales at once:
+
+```bash
+npm run build
+```
--- a/docs/my-website/docusaurus.config.js
+++ b/docs/my-website/docusaurus.config.js
@ -0,0 +1,120 @@
+// @ts-check
+// Note: type annotations allow type checking and IDEs autocompletion
+
+const lightCodeTheme = require('prism-react-renderer/themes/github');
+const darkCodeTheme = require('prism-react-renderer/themes/dracula');
+
+/** @type {import('@docusaurus/types').Config} */
+const config = {
+  title: 'LiteLLM',
+  tagline: 'Simplify LLM API Calls',
+
+  // Set the production url of your site here
+  url: 'https://docs.litellm.ai',
+  // Set the /<baseUrl>/ pathname under which your site is served
+  // For GitHub pages deployment, it is often '/<projectName>/'
+  baseUrl: '/docs',
+
+  onBrokenLinks: 'throw',
+  onBrokenMarkdownLinks: 'warn',
+
+  // Even if you don't use internalization, you can use this field to set useful
+  // metadata like html lang. For example, if your site is Chinese, you may want
+  // to replace "en" with "zh-Hans".
+  i18n: {
+    defaultLocale: 'en',
+    locales: ['en'],
+  },
+
+  presets: [
+    [
+      'classic',
+      /** @type {import('@docusaurus/preset-classic').Options} */
+      ({
+        docs: {
+          sidebarPath: require.resolve('./sidebars.js'),
+        },
+        blog: {
+          showReadingTime: true,
+        },
+        theme: {
+          customCss: require.resolve('./src/css/custom.css'),
+        },
+      }),
+    ],
+  ],
+
+  themeConfig:
+    /** @type {import('@docusaurus/preset-classic').ThemeConfig} */
+    ({
+      // Replace with your project's social card
+      image: 'img/docusaurus-social-card.jpg',
+      navbar: {
+        title: '🚅 LiteLLM',
+        items: [
+          {
+            type: 'docSidebar',
+            sidebarId: 'tutorialSidebar',
+            position: 'left',
+            label: 'Docs',
+          },
+          {
+            href: 'https://github.com/BerriAI/litellm',
+            label: 'GitHub',
+            position: 'right',
+          },
+        ],
+      },
+      footer: {
+        style: 'dark',
+        links: [
+          {
+            title: 'Docs',
+            items: [
+              {
+                label: 'Tutorial',
+                to: '/docs/intro',
+              },
+            ],
+          },
+          {
+            title: 'Community',
+            items: [
+              {
+                label: 'Stack Overflow',
+                href: 'https://stackoverflow.com/questions/tagged/docusaurus',
+              },
+              {
+                label: 'Discord',
+                href: 'https://discordapp.com/invite/docusaurus',
+              },
+              {
+                label: 'Twitter',
+                href: 'https://twitter.com/docusaurus',
+              },
+            ],
+          },
+          {
+            title: 'More',
+            items: [
+              {
+                label: 'Blog',
+                to: '/blog',
+              },
+              {
+                label: 'GitHub',
+                href: 'https://github.com/facebook/docusaurus',
+              },
+            ],
+          },
+        ],
+        copyright: `Copyright © ${new Date().getFullYear()} My Project, Inc. Built with Docusaurus.`,
+      },
+      prism: {
+        theme: lightCodeTheme,
+        darkTheme: darkCodeTheme,
+      },
+    }),
+};
+
+module.exports = config;
--- a/docs/my-website/package-lock.json
+++ b/docs/my-website/package-lock.json
--- a/docs/my-website/package.json
+++ b/docs/my-website/package.json
@ -0,0 +1,43 @@
+{
+  "name": "my-website",
+  "version": "0.0.0",
+  "private": true,
+  "scripts": {
+    "docusaurus": "docusaurus",
+    "start": "docusaurus start",
+    "build": "docusaurus build",
+    "swizzle": "docusaurus swizzle",
+    "deploy": "docusaurus deploy",
+    "clear": "docusaurus clear",
+    "serve": "docusaurus serve",
+    "write-translations": "docusaurus write-translations",
+    "write-heading-ids": "docusaurus write-heading-ids"
+  },
+  "dependencies": {
+    "@docusaurus/core": "2.4.1",
+    "@docusaurus/preset-classic": "2.4.1",
+    "@mdx-js/react": "^1.6.22",
+    "clsx": "^1.2.1",
+    "prism-react-renderer": "^1.3.5",
+    "react": "^17.0.2",
+    "react-dom": "^17.0.2"
+  },
+  "devDependencies": {
+    "@docusaurus/module-type-aliases": "2.4.1"
+  },
+  "browserslist": {
+    "production": [
+      ">0.5%",
+      "not dead",
+      "not op_mini all"
+    ],
+    "development": [
+      "last 1 chrome version",
+      "last 1 firefox version",
+      "last 1 safari version"
+    ]
+  },
+  "engines": {
+    "node": ">=16.14"
+  }
+}
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@ -0,0 +1,46 @@
+/**
+ * Creating a sidebar enables you to:
+ - create an ordered group of docs
+ - render a sidebar for each doc of that group
+ - provide next/previous navigation
+
+ The sidebars can be generated from the filesystem, or explicitly defined here.
+
+ Create as many sidebars as you want.
+ */
+
+// @ts-check
+
+/** @type {import('@docusaurus/plugin-content-docs').SidebarsConfig} */
+const sidebars = {
+  // // By default, Docusaurus generates a sidebar from the docs folder structure
+  // tutorialSidebar: [{type: 'autogenerated', dirName: '.'}],
+
+  // But you can create a sidebar manually
+  tutorialSidebar: [
+    'index',
+    {
+      type: 'category',
+      label: 'completion_function',
+      items: ['completion/input', 'completion/supported','completion/output'],
+    },
+    {
+      type: 'category',
+      label: 'embedding_function',
+      items: ['embedding/supported_embedding'],
+    },
+    'token_usage',
+    'stream',
+    'secret',
+    {
+      type: 'category',
+      label: 'Logging & Observability',
+      items: ['observability/callbacks', 'observability/integrations', 'observability/helicone_integration', 'observability/supabase_integration'],
+    },
+    'troubleshoot',
+    'contributing',
+    'contact'
+  ],
+};
+
+module.exports = sidebars;
--- a/docs/my-website/src/components/HomepageFeatures/index.js
+++ b/docs/my-website/src/components/HomepageFeatures/index.js
@ -0,0 +1,64 @@
+import React from 'react';
+import clsx from 'clsx';
+import styles from './styles.module.css';
+
+const FeatureList = [
+  {
+    title: 'Easy to Use',
+    Svg: require('@site/static/img/undraw_docusaurus_mountain.svg').default,
+    description: (
+      <>
+        Docusaurus was designed from the ground up to be easily installed and
+        used to get your website up and running quickly.
+      </>
+    ),
+  },
+  {
+    title: 'Focus on What Matters',
+    Svg: require('@site/static/img/undraw_docusaurus_tree.svg').default,
+    description: (
+      <>
+        Docusaurus lets you focus on your docs, and we&apos;ll do the chores. Go
+        ahead and move your docs into the <code>docs</code> directory.
+      </>
+    ),
+  },
+  {
+    title: 'Powered by React',
+    Svg: require('@site/static/img/undraw_docusaurus_react.svg').default,
+    description: (
+      <>
+        Extend or customize your website layout by reusing React. Docusaurus can
+        be extended while reusing the same header and footer.
+      </>
+    ),
+  },
+];
+
+function Feature({Svg, title, description}) {
+  return (
+    <div className={clsx('col col--4')}>
+      <div className="text--center">
+        <Svg className={styles.featureSvg} role="img" />
+      </div>
+      <div className="text--center padding-horiz--md">
+        <h3>{title}</h3>
+        <p>{description}</p>
+      </div>
+    </div>
+  );
+}
+
+export default function HomepageFeatures() {
+  return (
+    <section className={styles.features}>
+      <div className="container">
+        <div className="row">
+          {FeatureList.map((props, idx) => (
+            <Feature key={idx} {...props} />
+          ))}
+        </div>
+      </div>
+    </section>
+  );
+}
--- a/docs/my-website/src/components/HomepageFeatures/styles.module.css
+++ b/docs/my-website/src/components/HomepageFeatures/styles.module.css
@ -0,0 +1,11 @@
+.features {
+  display: flex;
+  align-items: center;
+  padding: 2rem 0;
+  width: 100%;
+}
+
+.featureSvg {
+  height: 200px;
+  width: 200px;
+}
--- a/docs/my-website/src/css/custom.css
+++ b/docs/my-website/src/css/custom.css
@ -0,0 +1,30 @@
+/**
+ * Any CSS included here will be global. The classic template
+ * bundles Infima by default. Infima is a CSS framework designed to
+ * work well for content-centric websites.
+ */
+
+/* You can override the default Infima variables here. */
+:root {
+  --ifm-color-primary: #2e8555;
+  --ifm-color-primary-dark: #29784c;
+  --ifm-color-primary-darker: #277148;
+  --ifm-color-primary-darkest: #205d3b;
+  --ifm-color-primary-light: #33925d;
+  --ifm-color-primary-lighter: #359962;
+  --ifm-color-primary-lightest: #3cad6e;
+  --ifm-code-font-size: 95%;
+  --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1);
+}
+
+/* For readability concerns, you should choose a lighter palette in dark mode. */
+[data-theme='dark'] {
+  --ifm-color-primary: #25c2a0;
+  --ifm-color-primary-dark: #21af90;
+  --ifm-color-primary-darker: #1fa588;
+  --ifm-color-primary-darkest: #1a8870;
+  --ifm-color-primary-light: #29d5b0;
+  --ifm-color-primary-lighter: #32d8b4;
+  --ifm-color-primary-lightest: #4fddbf;
+  --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3);
+}
--- a/docs/my-website/src/pages-fake/index.js
+++ b/docs/my-website/src/pages-fake/index.js
@ -0,0 +1,41 @@
+import React from 'react';
+import clsx from 'clsx';
+import Link from '@docusaurus/Link';
+import useDocusaurusContext from '@docusaurus/useDocusaurusContext';
+import Layout from '@theme/Layout';
+import HomepageFeatures from '@site/src/components/HomepageFeatures';
+
+import styles from './index.module.css';
+
+function HomepageHeader() {
+  const {siteConfig} = useDocusaurusContext();
+  return (
+    <header className={clsx('hero hero--primary', styles.heroBanner)}>
+      <div className="container">
+        <h1 className="hero__title">{siteConfig.title}</h1>
+        <p className="hero__subtitle">{siteConfig.tagline}</p>
+        <div className={styles.buttons}>
+          <Link
+            className="button button--secondary button--lg"
+            to="/docs/intro">
+            Docusaurus Tutorial - 5min ⏱️
+          </Link>
+        </div>
+      </div>
+    </header>
+  );
+}
+
+export default function Home() {
+  const {siteConfig} = useDocusaurusContext();
+  return (
+    <Layout
+      title={`Hello from ${siteConfig.title}`}
+      description="Description will go into a meta tag in <head />">
+      <HomepageHeader />
+      <main>
+        <HomepageFeatures />
+      </main>
+    </Layout>
+  );
+}
--- a/docs/my-website/src/pages-fake/index.module.css
+++ b/docs/my-website/src/pages-fake/index.module.css
@ -0,0 +1,23 @@
+/**
+ * CSS files with the .module.css suffix will be treated as CSS modules
+ * and scoped locally.
+ */
+
+.heroBanner {
+  padding: 4rem 0;
+  text-align: center;
+  position: relative;
+  overflow: hidden;
+}
+
+@media screen and (max-width: 996px) {
+  .heroBanner {
+    padding: 2rem;
+  }
+}
+
+.buttons {
+  display: flex;
+  align-items: center;
+  justify-content: center;
+}
--- a/docs/my-website/src/pages-fake/markdown-page.md
+++ b/docs/my-website/src/pages-fake/markdown-page.md
@ -0,0 +1,7 @@
+---
+title: Markdown page example
+---
+
+# Markdown page example
+
+You don't need React to write simple standalone pages.
--- a/docs/my-website/src/pages/completion/input.md
+++ b/docs/my-website/src/pages/completion/input.md
@ -0,0 +1,58 @@
+# Completion Function - completion()
+The Input params are **exactly the same** as the 
+<a href="https://platform.openai.com/docs/api-reference/chat/create" target="_blank" rel="noopener noreferrer">OpenAI Create chat completion</a>, and let you call **Azure OpenAI, Anthropic, Cohere, Replicate, OpenRouter** models in the same format. 
+
+In addition, liteLLM allows you to pass in the following **Optional** liteLLM args:
+`force_timeout`, `azure`, `logger_fn`, `verbose`
+
+## Input - Request Body
+# Request Body
+
+**Required Fields**
+
+- `model`: *string* - ID of the model to use. Refer to the model endpoint compatibility table for details on which models work with the Chat API.
+  
+- `messages`: *array* - A list of messages comprising the conversation so far.
+
+*Note* - Each message in the array contains the following properties:
+
+    - `role`: *string* - The role of the message's author. Roles can be: system, user, assistant, or function.
+    
+    - `content`: *string or null* - The contents of the message. It is required for all messages, but may be null for assistant messages with function calls.
+    
+    - `name`: *string (optional)* - The name of the author of the message. It is required if the role is "function". The name should match the name of the function represented in the content. It can contain characters (a-z, A-Z, 0-9), and underscores, with a maximum length of 64 characters.
+    
+    - `function_call`: *object (optional)* - The name and arguments of a function that should be called, as generated by the model.
+
+
+**Optional Fields**
+
+- `functions`: *array* - A list of functions that the model may use to generate JSON inputs. Each function should have the following properties:
+
+    - `name`: *string* - The name of the function to be called. It should contain a-z, A-Z, 0-9, underscores and dashes, with a maximum length of 64 characters.
+    
+    - `description`: *string (optional)* - A description explaining what the function does. It helps the model to decide when and how to call the function.
+    
+    - `parameters`: *object* - The parameters that the function accepts, described as a JSON Schema object.
+    
+    - `function_call`: *string or object (optional)* - Controls how the model responds to function calls.
+
+- `temperature`: *number or null (optional)* - The sampling temperature to be used, between 0 and 2. Higher values like 0.8 produce more random outputs, while lower values like 0.2 make outputs more focused and deterministic. 
+
+- `top_p`: *number or null (optional)* - An alternative to sampling with temperature. It instructs the model to consider the results of the tokens with top_p probability. For example, 0.1 means only the tokens comprising the top 10% probability mass are considered.
+
+- `n`: *integer or null (optional)* - The number of chat completion choices to generate for each input message.
+
+- `stream`: *boolean or null (optional)* - If set to true, it sends partial message deltas. Tokens will be sent as they become available, with the stream terminated by a [DONE] message.
+
+- `stop`: *string/ array/ null (optional)* - Up to 4 sequences where the API will stop generating further tokens.
+
+- `max_tokens`: *integer (optional)* - The maximum number of tokens to generate in the chat completion.
+
+- `presence_penalty`: *number or null (optional)* - It is used to penalize new tokens based on their existence in the text so far.
+
+- `frequency_penalty`: *number or null (optional)* - It is used to penalize new tokens based on their frequency in the text so far.
+
+- `logit_bias`: *map (optional)* - Used to modify the probability of specific tokens appearing in the completion.
+
+- `user`: *string (optional)* - A unique identifier representing your end-user. This can help OpenAI to monitor and detect abuse.
--- a/docs/my-website/src/pages/completion/output.md
+++ b/docs/my-website/src/pages/completion/output.md
@ -0,0 +1,12 @@
+# Completion Function - completion()
+Here's the exact json output you can expect from a litellm `completion` call:
+
+```python 
+{'choices': [{'finish_reason': 'stop',
+   'index': 0,
+   'message': {'role': 'assistant',
+    'content': " I'm doing well, thank you for asking. I am Claude, an AI assistant created by Anthropic."}}],
+ 'created': 1691429984.3852863,
+ 'model': 'claude-instant-1',
+ 'usage': {'prompt_tokens': 18, 'completion_tokens': 23, 'total_tokens': 41}}
+```
--- a/docs/my-website/src/pages/completion/supported.md
+++ b/docs/my-website/src/pages/completion/supported.md
@ -0,0 +1,72 @@
+# Generation/Completion/Chat Completion Models
+
+### OpenAI Chat Completion Models
+
+| Model Name       | Function Call                          | Required OS Variables                |
+|------------------|----------------------------------------|--------------------------------------|
+| gpt-3.5-turbo    | `completion('gpt-3.5-turbo', messages)` | `os.environ['OPENAI_API_KEY']`       |
+| gpt-3.5-turbo-16k    | `completion('gpt-3.5-turbo-16k', messages)` | `os.environ['OPENAI_API_KEY']`       |
+| gpt-3.5-turbo-16k-0613    | `completion('gpt-3.5-turbo-16k-0613', messages)` | `os.environ['OPENAI_API_KEY']`       |
+| gpt-4            | `completion('gpt-4', messages)`         | `os.environ['OPENAI_API_KEY']`       |
+
+## Azure OpenAI Chat Completion Models
+
+| Model Name       | Function Call                           | Required OS Variables                     |
+|------------------|-----------------------------------------|-------------------------------------------|
+| gpt-3.5-turbo    | `completion('gpt-3.5-turbo', messages, azure=True)` | `os.environ['AZURE_API_KEY']`,`os.environ['AZURE_API_BASE']`,`os.environ['AZURE_API_VERSION']` |
+| gpt-4            | `completion('gpt-4', messages, azure=True)`         | `os.environ['AZURE_API_KEY']`,`os.environ['AZURE_API_BASE']`,`os.environ['AZURE_API_VERSION']` |
+
+### OpenAI Text Completion Models
+
+| Model Name       | Function Call                              | Required OS Variables                |
+|------------------|--------------------------------------------|--------------------------------------|
+| text-davinci-003 | `completion('text-davinci-003', messages)` | `os.environ['OPENAI_API_KEY']`       |
+
+### Cohere Models
+
+| Model Name       | Function Call                              | Required OS Variables                |
+|------------------|--------------------------------------------|--------------------------------------|
+| command-nightly  | `completion('command-nightly', messages)` | `os.environ['COHERE_API_KEY']`       |
+
+
+### Anthropic Models
+
+| Model Name       | Function Call                              | Required OS Variables                |
+|------------------|--------------------------------------------|--------------------------------------|
+| claude-instant-1  | `completion('claude-instant-1', messages)` | `os.environ['ANTHROPIC_API_KEY']`       |
+| claude-2  | `completion('claude-2', messages)` | `os.environ['ANTHROPIC_API_KEY']`       |
+
+### Hugging Face Inference API
+
+All [`text2text-generation`](https://huggingface.co/models?library=transformers&pipeline_tag=text2text-generation&sort=downloads) and [`text-generation`](https://huggingface.co/models?library=transformers&pipeline_tag=text-generation&sort=downloads) models are supported by liteLLM. You can use any text model from Hugging Face with the following steps:
+
+* Copy the `model repo` URL from Hugging Face and set it as the `model` parameter in the completion call.
+* Set `hugging_face` parameter to `True`.
+* Make sure to set the hugging face API key
+
+Here are some examples of supported models:
+**Note that the models mentioned in the table are examples, and you can use any text model available on Hugging Face by following the steps above.**
+
+| Model Name       | Function Call                                                                       | Required OS Variables                |
+|------------------|-------------------------------------------------------------------------------------|--------------------------------------|
+| [stabilityai/stablecode-completion-alpha-3b-4k](https://huggingface.co/stabilityai/stablecode-completion-alpha-3b-4k)  | `completion(model="stabilityai/stablecode-completion-alpha-3b-4k", messages=messages, hugging_face=True)` | `os.environ['HF_TOKEN']`       |
+| [bigcode/starcoder](https://huggingface.co/bigcode/starcoder)                           | `completion(model="bigcode/starcoder", messages=messages, hugging_face=True)`          | `os.environ['HF_TOKEN']`       |
+| [google/flan-t5-xxl](https://huggingface.co/google/flan-t5-xxl)                         | `completion(model="google/flan-t5-xxl", messages=messages, hugging_face=True)`         | `os.environ['HF_TOKEN']`       |
+| [google/flan-t5-large](https://huggingface.co/google/flan-t5-large)                     | `completion(model="google/flan-t5-large", messages=messages, hugging_face=True)`       | `os.environ['HF_TOKEN']`       |
+
+### OpenRouter Completion Models
+
+All the text models from [OpenRouter](https://openrouter.ai/docs) are supported by liteLLM.
+
+| Model Name       | Function Call                              | Required OS Variables                |
+|------------------|--------------------------------------------|--------------------------------------|
+| openai/gpt-3.5-turbo | `completion('openai/gpt-3.5-turbo', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| openai/gpt-3.5-turbo-16k | `completion('openai/gpt-3.5-turbo-16k', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| openai/gpt-4 | `completion('openai/gpt-4', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| openai/gpt-4-32k | `completion('openai/gpt-4-32k', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| anthropic/claude-2 | `completion('anthropic/claude-2', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| anthropic/claude-instant-v1 | `completion('anthropic/claude-instant-v1', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| google/palm-2-chat-bison | `completion('google/palm-2-chat-bison', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| google/palm-2-codechat-bison | `completion('google/palm-2-codechat-bison', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| meta-llama/llama-2-13b-chat | `completion('meta-llama/llama-2-13b-chat', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
+| meta-llama/llama-2-70b-chat | `completion('meta-llama/llama-2-70b-chat', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']`       |
--- a/docs/my-website/src/pages/contact.md
+++ b/docs/my-website/src/pages/contact.md
@ -0,0 +1,6 @@
+# Contact Us
+
+[![](https://dcbadge.vercel.app/api/server/wuPM9dRgDw)](https://discord.gg/wuPM9dRgDw)
+
+* [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
--- a/docs/my-website/src/pages/contributing.md
+++ b/docs/my-website/src/pages/contributing.md
@ -0,0 +1,35 @@
+# Contributing to Documentation
+
+Clone litellm 
+```
+git clone https://github.com/BerriAI/litellm.git
+```
+
+### Local setup for locally running docs
+
+#### Installation
+```
+pip install mkdocs
+```
+
+#### Locally Serving Docs
+```
+mkdocs serve
+```
+If you see `command not found: mkdocs` try running the following
+```
+python3 -m mkdocs serve
+```
+
+This command builds your Markdown files into HTML and starts a development server to browse your documentation. Open up [http://127.0.0.1:8000/](http://127.0.0.1:8000/) in your web browser to see your documentation. You can make changes to your Markdown files and your docs will automatically rebuild.
+
+[Full tutorial here](https://docs.readthedocs.io/en/stable/intro/getting-started-with-mkdocs.html)
+
+### Making changes to Docs
+- All the docs are placed under the `docs` directory
+- If you are adding a new `.md` file or editing the hierarchy edit `mkdocs.yml` in the root of the project
+- After testing your changes, make a change to the `main` branch of [github.com/BerriAI/litellm](https://github.com/BerriAI/litellm)
+
+
+
+
--- a/docs/my-website/src/pages/embedding/supported_embedding.md
+++ b/docs/my-website/src/pages/embedding/supported_embedding.md
@ -0,0 +1,5 @@
+# Embedding Models
+
+| Model Name           | Function Call                               | Required OS Variables                |
+|----------------------|---------------------------------------------|--------------------------------------|
+| text-embedding-ada-002 | `embedding('text-embedding-ada-002', input)` | `os.environ['OPENAI_API_KEY']`       |
--- a/docs/my-website/src/pages/index.md
+++ b/docs/my-website/src/pages/index.md
@ -0,0 +1,43 @@
+# 🚅 litellm
+a light 100 line package to simplify calling OpenAI, Azure, Cohere, Anthropic APIs 
+
+###### 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)
+
+###### 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/)
+
+## Quick Start
+Go directly to code: [Getting Started Notebook](https://colab.research.google.com/drive/1gR3pY-JzDZahzpVdbGBtrNGDBmzUNJaJ?usp=sharing)
+### Installation
+```
+pip install litellm
+```
+
+### Usage
+```python
+from litellm import completion
+
+## set ENV variables
+os.environ["OPENAI_API_KEY"] = "openai key"
+os.environ["COHERE_API_KEY"] = "cohere key"
+
+messages = [{ "content": "Hello, how are you?","role": "user"}]
+
+# openai call
+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)
+
+## Why did we build liteLLM 
+- **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
--- a/docs/my-website/src/pages/intro.md
+++ b/docs/my-website/src/pages/intro.md
@ -0,0 +1,47 @@
+---
+sidebar_position: 1
+---
+
+# Tutorial Intro
+
+Let's discover **Docusaurus in less than 5 minutes**.
+
+## Getting Started
+
+Get started by **creating a new site**.
+
+Or **try Docusaurus immediately** with **[docusaurus.new](https://docusaurus.new)**.
+
+### What you'll need
+
+- [Node.js](https://nodejs.org/en/download/) version 16.14 or above:
+  - When installing Node.js, you are recommended to check all checkboxes related to dependencies.
+
+## Generate a new site
+
+Generate a new Docusaurus site using the **classic template**.
+
+The classic template will automatically be added to your project after you run the command:
+
+```bash
+npm init docusaurus@latest my-website classic
+```
+
+You can type this command into Command Prompt, Powershell, Terminal, or any other integrated terminal of your code editor.
+
+The command also installs all necessary dependencies you need to run Docusaurus.
+
+## Start your site
+
+Run the development server:
+
+```bash
+cd my-website
+npm run start
+```
+
+The `cd` command changes the directory you're working with. In order to work with your newly created Docusaurus site, you'll need to navigate the terminal there.
+
+The `npm run start` command builds your website locally and serves it through a development server, ready for you to view at http://localhost:3000/.
+
+Open `docs/intro.md` (this page) and edit some lines: the site **reloads automatically** and displays your changes.
--- a/docs/my-website/src/pages/observability/callbacks.md
+++ b/docs/my-website/src/pages/observability/callbacks.md
@ -0,0 +1,29 @@
+# Callbacks
+
+## Use Callbacks to send Output Data to Posthog, Sentry etc
+liteLLM provides `success_callbacks` and `failure_callbacks`, making it easy for you to send data to a particular provider depending on the status of your responses. 
+
+liteLLM supports: 
+
+- [Helicone](https://docs.helicone.ai/introduction)
+- [Sentry](https://docs.sentry.io/platforms/python/) 
+- [PostHog](https://posthog.com/docs/libraries/python)
+- [Slack](https://slack.dev/bolt-python/concepts)
+
+### Quick Start
+```python
+from litellm import completion
+
+# set callbacks
+litellm.success_callback=["posthog", "helicone"]
+litellm.failure_callback=["sentry"]
+
+## set env variables
+os.environ['SENTRY_API_URL'], os.environ['SENTRY_API_TRACE_RATE']= ""
+os.environ['POSTHOG_API_KEY'], os.environ['POSTHOG_API_URL'] = "api-key", "api-url"
+os.environ["HELICONE_API_KEY"] = "" 
+
+response = completion(model="gpt-3.5-turbo", messages=messages) 
+```
+
+
--- a/docs/my-website/src/pages/observability/helicone_integration.md
+++ b/docs/my-website/src/pages/observability/helicone_integration.md
@ -0,0 +1,55 @@
+# Helicone Tutorial 
+[Helicone](https://helicone.ai/) is an open source observability platform that proxies your OpenAI traffic and provides you key insights into your spend, latency and usage.
+
+## Use Helicone to log requests across all LLM Providers (OpenAI, Azure, Anthropic, Cohere, Replicate, PaLM)
+liteLLM provides `success_callbacks` and `failure_callbacks`, making it easy for you to send data to a particular provider depending on the status of your responses. 
+
+In this case, we want to log requests to Helicone when a request succeeds. 
+
+### Approach 1: Use Callbacks 
+Use just 1 line of code, to instantly log your responses **across all providers** with helicone: 
+```
+litellm.success_callback=["helicone"]
+```
+
+Complete code
+```python
+from litellm import completion
+
+## set env variables
+os.environ["HELICONE_API_KEY"] = "your-helicone-key" 
+os.environ["OPENAI_API_KEY"], os.environ["COHERE_API_KEY"] = "", ""
+
+# set callbacks
+litellm.success_callback=["helicone"]
+
+#openai call
+response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}]) 
+
+#cohere call
+response = completion(model="command-nightly", messages=[{"role": "user", "content": "Hi 👋 - i'm cohere"}]) 
+```
+
+### Approach 2: [OpenAI + Azure only] Use Helicone as a proxy
+Helicone provides advanced functionality like caching, etc. Helicone currently supports this for Azure and OpenAI.
+
+If you want to use Helicone to proxy your OpenAI/Azure requests, then you can - 
+
+- Set helicone as your base url via: `litellm.api_url` 
+- Pass in helicone request headers via: `litellm.headers` 
+
+Complete Code
+```
+import litellm
+from litellm import completion
+
+litellm.api_base = "https://oai.hconeai.com/v1"
+litellm.headers = {"Helicone-Auth": f"Bearer {os.getenv('HELICONE_API_KEY')}"}
+
+response = litellm.completion(
+    model="gpt-3.5-turbo",
+    messages=[{"role": "user", "content": "how does a court case get to the Supreme Court?"}]
+)
+
+print(response)
+```
--- a/docs/my-website/src/pages/observability/integrations.md
+++ b/docs/my-website/src/pages/observability/integrations.md
@ -0,0 +1,12 @@
+# Logging Integrations
+
+| Integration     | Required OS Variables                      | How to Use with callbacks             |
+|-----------------|--------------------------------------------|-------------------------------------------|
+| Sentry          | `SENTRY_API_URL`                          | `litellm.success_callback=["sentry"]`  |
+| Posthog         | `POSTHOG_API_KEY`,`POSTHOG_API_URL`   | `litellm.success_callback=["posthog"]` |
+| Slack           | `SLACK_API_TOKEN`,`SLACK_API_SECRET`,`SLACK_API_CHANNEL` | `litellm.success_callback=["slack"]`      |
+| Helicone           | `HELICONE_API_TOKEN` | `litellm.success_callback=["helicone"]`      |
+
+
+
+
--- a/docs/my-website/src/pages/observability/supabase_integration.md
+++ b/docs/my-website/src/pages/observability/supabase_integration.md
@ -0,0 +1,80 @@
+# Supabase Tutorial 
+[Supabase](https://supabase.com/) is an open source Firebase alternative.
+Start your project with a Postgres database, Authentication, instant APIs, Edge Functions, Realtime subscriptions, Storage, and Vector embeddings.
+
+## Use Supabase to log requests and see total spend across all LLM Providers (OpenAI, Azure, Anthropic, Cohere, Replicate, PaLM)
+liteLLM provides `success_callbacks` and `failure_callbacks`, making it easy for you to send data to a particular provider depending on the status of your responses. 
+
+In this case, we want to log requests to Supabase in both scenarios - when it succeeds and fails. 
+
+### Create a supabase table 
+
+Go to your Supabase project > go to the [Supabase SQL Editor](https://supabase.com/dashboard/projects) and create a new table with this configuration.
+
+Note: You can change the table name. Just don't change the column names. 
+
+```sql
+create table
+  public.request_logs (
+    id bigint generated by default as identity,
+    created_at timestamp with time zone null default now(),
+    model text null default ''::text,
+    messages json null default '{}'::json,
+    response json null default '{}'::json,
+    end_user text null default ''::text,
+    error json null default '{}'::json,
+    response_time real null default '0'::real,
+    total_cost real null,
+    additional_details json null default '{}'::json,
+    constraint request_logs_pkey primary key (id)
+  ) tablespace pg_default;
+```
+
+### Use Callbacks 
+Use just 2 lines of code, to instantly see costs and log your responses **across all providers** with Supabase: 
+
+```
+litellm.success_callback=["supabase"]
+litellm.failure_callback=["supabase"]
+```
+
+Complete code
+```python
+from litellm import completion
+
+## set env variables
+### SUPABASE
+os.environ["SUPABASE_URL"] = "your-supabase-url" 
+os.environ["SUPABASE_KEY"] = "your-supabase-key" 
+
+## LLM API KEY
+os.environ["OPENAI_API_KEY"] = ""
+
+# set callbacks
+litellm.success_callback=["supabase"]
+litellm.failure_callback=["supabase"]
+
+#openai call
+response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}]) 
+
+#bad call
+response = completion(model="chatgpt-test", messages=[{"role": "user", "content": "Hi 👋 - i'm a bad call to test error logging"}]) 
+```
+
+### Additional Controls 
+
+**Different Table name**
+
+If you modified your table name, here's how to pass the new name.
+
+```python 
+litellm.modify_integration("supabase",{"table_name": "litellm_logs"})
+```
+
+**Identify end-user**
+
+Here's how to map your llm call to an end-user 
+
+```python
+litellm.identify({"end_user": "krrish@berri.ai"})
+```
--- a/docs/my-website/src/pages/secret.md
+++ b/docs/my-website/src/pages/secret.md
@ -0,0 +1,33 @@
+# Secret Managers
+liteLLM reads secrets from yoour secret manager, .env file 
+
+- [Infisical Secret Manager](#infisical-secret-manager)
+- [.env Files](#env-files)
+
+For expected format of secrets see [supported LLM models](https://litellm.readthedocs.io/en/latest/supported)
+
+## Infisical Secret Manager
+Integrates with [Infisical's Secret Manager](https://infisical.com/) for secure storage and retrieval of API keys and sensitive data.
+
+### Usage
+liteLLM manages reading in your LLM API secrets/env variables from Infisical for you
+
+```
+import litellm
+from infisical import InfisicalClient
+
+litellm.secret_manager = InfisicalClient(token="your-token")
+
+messages = [
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": "What's the weather like today?"},
+]
+
+response = litellm.completion(model="gpt-3.5-turbo", messages=messages)
+
+print(response)
+```
+
+
+## .env Files
+If no secret manager client is specified, Litellm automatically uses the `.env` file to manage sensitive data.
--- a/docs/my-website/src/pages/stream.md
+++ b/docs/my-website/src/pages/stream.md
@ -0,0 +1,33 @@
+# Streaming Responses & Async Completion
+
+- [Streaming Responses](#streaming-responses)
+- [Async Completion](#async-completion)
+
+## Streaming Responses
+LiteLLM supports streaming the model response back by passing `stream=True` as an argument to the completion function
+### Usage
+```python
+response = completion(model="gpt-3.5-turbo", messages=messages, stream=True)
+for chunk in response:
+    print(chunk['choices'][0]['delta'])
+
+```
+
+## Async Completion
+Asynchronous Completion with LiteLLM
+LiteLLM provides an asynchronous version of the completion function called `acompletion`
+### Usage
+```
+from litellm import acompletion
+import asyncio
+
+async def test_get_response():
+    user_message = "Hello, how are you?"
+    messages = [{"content": user_message, "role": "user"}]
+    response = await acompletion(model="gpt-3.5-turbo", messages=messages)
+    return response
+
+response = asyncio.run(test_get_response())
+print(response)
+
+```
--- a/docs/my-website/src/pages/token_usage.md
+++ b/docs/my-website/src/pages/token_usage.md
@ -0,0 +1,45 @@
+# Token Usage
+By default LiteLLM returns token usage in all completion requests ([See here](https://litellm.readthedocs.io/en/latest/output/))
+
+However, we also expose 3 public helper functions to calculate token usage across providers:
+
+- `token_counter`: This returns the number of tokens for a given input - it uses the tokenizer based on the model, and defaults to tiktoken if no model-specific tokenizer is available. 
+
+- `cost_per_token`: This returns the cost (in USD) for prompt (input) and completion (output) tokens. It utilizes our model_cost map which can be found in `__init__.py` and also as a [community resource](https://github.com/BerriAI/litellm/blob/main/cookbook/community-resources/max_tokens.json).
+
+- `completion_cost`: This returns the overall cost (in USD) for a given LLM API Call. It combines `token_counter` and `cost_per_token` to return the cost for that query (counting both cost of input and output). 
+
+## Example Usage 
+
+1. `token_counter`
+
+```python
+from litellm import token_counter
+
+messages = [{"user": "role", "content": "Hey, how's it going"}]
+print(token_counter(model="gpt-3.5-turbo", messages=messages))
+```
+
+2. `cost_per_token`
+
+```python
+from litellm import cost_per_token
+
+prompt_tokens =  5
+completion_tokens = 10
+prompt_tokens_cost_usd_dollar, completion_tokens_cost_usd_dollar = cost_per_token(model="gpt-3.5-turbo", prompt_tokens=prompt_tokens, completion_tokens=completion_tokens))
+
+print(prompt_tokens_cost_usd_dollar, completion_tokens_cost_usd_dollar)
+```
+
+3. `completion_cost`
+
+```python
+from litellm import completion_cost
+
+prompt = "Hey, how's it going"
+completion = "Hi, I'm gpt - I am doing well"
+cost_of_query = completion_cost(model="gpt-3.5-turbo", prompt=prompt, completion=completion))
+
+print(cost_of_query)
+```
--- a/docs/my-website/src/pages/troubleshoot.md
+++ b/docs/my-website/src/pages/troubleshoot.md
@ -0,0 +1,11 @@
+# Troubleshooting 
+
+## Stable Version
+
+If you're running into problems with installation / Usage 
+Use the stable version of litellm 
+
+```
+pip install litellm==0.1.345
+```
+
--- a/docs/my-website/src/pages/tutorial-basics/_category_.json
+++ b/docs/my-website/src/pages/tutorial-basics/_category_.json
@ -0,0 +1,8 @@
+{
+  "label": "Tutorial - Basics",
+  "position": 2,
+  "link": {
+    "type": "generated-index",
+    "description": "5 minutes to learn the most important Docusaurus concepts."
+  }
+}
--- a/docs/my-website/src/pages/tutorial-basics/congratulations.md
+++ b/docs/my-website/src/pages/tutorial-basics/congratulations.md
@ -0,0 +1,23 @@
+---
+sidebar_position: 6
+---
+
+# Congratulations!
+
+You have just learned the **basics of Docusaurus** and made some changes to the **initial template**.
+
+Docusaurus has **much more to offer**!
+
+Have **5 more minutes**? Take a look at **[versioning](../tutorial-extras/manage-docs-versions.md)** and **[i18n](../tutorial-extras/translate-your-site.md)**.
+
+Anything **unclear** or **buggy** in this tutorial? [Please report it!](https://github.com/facebook/docusaurus/discussions/4610)
+
+## What's next?
+
+- Read the [official documentation](https://docusaurus.io/)
+- Modify your site configuration with [`docusaurus.config.js`](https://docusaurus.io/docs/api/docusaurus-config)
+- Add navbar and footer items with [`themeConfig`](https://docusaurus.io/docs/api/themes/configuration)
+- Add a custom [Design and Layout](https://docusaurus.io/docs/styling-layout)
+- Add a [search bar](https://docusaurus.io/docs/search)
+- Find inspirations in the [Docusaurus showcase](https://docusaurus.io/showcase)
+- Get involved in the [Docusaurus Community](https://docusaurus.io/community/support)
--- a/docs/my-website/src/pages/tutorial-basics/create-a-blog-post.md
+++ b/docs/my-website/src/pages/tutorial-basics/create-a-blog-post.md
@ -0,0 +1,34 @@
+---
+sidebar_position: 3
+---
+
+# Create a Blog Post
+
+Docusaurus creates a **page for each blog post**, but also a **blog index page**, a **tag system**, an **RSS** feed...
+
+## Create your first Post
+
+Create a file at `blog/2021-02-28-greetings.md`:
+
+```md title="blog/2021-02-28-greetings.md"
+---
+slug: greetings
+title: Greetings!
+authors:
+  - name: Joel Marcey
+    title: Co-creator of Docusaurus 1
+    url: https://github.com/JoelMarcey
+    image_url: https://github.com/JoelMarcey.png
+  - name: Sébastien Lorber
+    title: Docusaurus maintainer
+    url: https://sebastienlorber.com
+    image_url: https://github.com/slorber.png
+tags: [greetings]
+---
+
+Congratulations, you have made your first post!
+
+Feel free to play around and edit this post as much you like.
+```
+
+A new blog post is now available at [http://localhost:3000/blog/greetings](http://localhost:3000/blog/greetings).
--- a/docs/my-website/src/pages/tutorial-basics/create-a-document.md
+++ b/docs/my-website/src/pages/tutorial-basics/create-a-document.md
@ -0,0 +1,57 @@
+---
+sidebar_position: 2
+---
+
+# Create a Document
+
+Documents are **groups of pages** connected through:
+
+- a **sidebar**
+- **previous/next navigation**
+- **versioning**
+
+## Create your first Doc
+
+Create a Markdown file at `docs/hello.md`:
+
+```md title="docs/hello.md"
+# Hello
+
+This is my **first Docusaurus document**!
+```
+
+A new document is now available at [http://localhost:3000/docs/hello](http://localhost:3000/docs/hello).
+
+## Configure the Sidebar
+
+Docusaurus automatically **creates a sidebar** from the `docs` folder.
+
+Add metadata to customize the sidebar label and position:
+
+```md title="docs/hello.md" {1-4}
+---
+sidebar_label: 'Hi!'
+sidebar_position: 3
+---
+
+# Hello
+
+This is my **first Docusaurus document**!
+```
+
+It is also possible to create your sidebar explicitly in `sidebars.js`:
+
+```js title="sidebars.js"
+module.exports = {
+  tutorialSidebar: [
+    'intro',
+    // highlight-next-line
+    'hello',
+    {
+      type: 'category',
+      label: 'Tutorial',
+      items: ['tutorial-basics/create-a-document'],
+    },
+  ],
+};
+```
--- a/docs/my-website/src/pages/tutorial-basics/create-a-page.md
+++ b/docs/my-website/src/pages/tutorial-basics/create-a-page.md
@ -0,0 +1,43 @@
+---
+sidebar_position: 1
+---
+
+# Create a Page
+
+Add **Markdown or React** files to `src/pages` to create a **standalone page**:
+
+- `src/pages/index.js` → `localhost:3000/`
+- `src/pages/foo.md` → `localhost:3000/foo`
+- `src/pages/foo/bar.js` → `localhost:3000/foo/bar`
+
+## Create your first React Page
+
+Create a file at `src/pages/my-react-page.js`:
+
+```jsx title="src/pages/my-react-page.js"
+import React from 'react';
+import Layout from '@theme/Layout';
+
+export default function MyReactPage() {
+  return (
+    <Layout>
+      <h1>My React page</h1>
+      <p>This is a React page</p>
+    </Layout>
+  );
+}
+```
+
+A new page is now available at [http://localhost:3000/my-react-page](http://localhost:3000/my-react-page).
+
+## Create your first Markdown Page
+
+Create a file at `src/pages/my-markdown-page.md`:
+
+```mdx title="src/pages/my-markdown-page.md"
+# My Markdown page
+
+This is a Markdown page
+```
+
+A new page is now available at [http://localhost:3000/my-markdown-page](http://localhost:3000/my-markdown-page).
--- a/docs/my-website/src/pages/tutorial-basics/deploy-your-site.md
+++ b/docs/my-website/src/pages/tutorial-basics/deploy-your-site.md
@ -0,0 +1,31 @@
+---
+sidebar_position: 5
+---
+
+# Deploy your site
+
+Docusaurus is a **static-site-generator** (also called **[Jamstack](https://jamstack.org/)**).
+
+It builds your site as simple **static HTML, JavaScript and CSS files**.
+
+## Build your site
+
+Build your site **for production**:
+
+```bash
+npm run build
+```
+
+The static files are generated in the `build` folder.
+
+## Deploy your site
+
+Test your production build locally:
+
+```bash
+npm run serve
+```
+
+The `build` folder is now served at [http://localhost:3000/](http://localhost:3000/).
+
+You can now deploy the `build` folder **almost anywhere** easily, **for free** or very small cost (read the **[Deployment Guide](https://docusaurus.io/docs/deployment)**).
--- a/docs/my-website/src/pages/tutorial-basics/markdown-features.mdx
+++ b/docs/my-website/src/pages/tutorial-basics/markdown-features.mdx
@ -0,0 +1,150 @@
+---
+sidebar_position: 4
+---
+
+# Markdown Features
+
+Docusaurus supports **[Markdown](https://daringfireball.net/projects/markdown/syntax)** and a few **additional features**.
+
+## Front Matter
+
+Markdown documents have metadata at the top called [Front Matter](https://jekyllrb.com/docs/front-matter/):
+
+```text title="my-doc.md"
+// highlight-start
+---
+id: my-doc-id
+title: My document title
+description: My document description
+slug: /my-custom-url
+---
+// highlight-end
+
+## Markdown heading
+
+Markdown text with [links](./hello.md)
+```
+
+## Links
+
+Regular Markdown links are supported, using url paths or relative file paths.
+
+```md
+Let's see how to [Create a page](/create-a-page).
+```
+
+```md
+Let's see how to [Create a page](./create-a-page.md).
+```
+
+**Result:** Let's see how to [Create a page](./create-a-page.md).
+
+## Images
+
+Regular Markdown images are supported.
+
+You can use absolute paths to reference images in the static directory (`static/img/docusaurus.png`):
+
+```md
+![Docusaurus logo](/img/docusaurus.png)
+```
+
+![Docusaurus logo](/img/docusaurus.png)
+
+You can reference images relative to the current file as well. This is particularly useful to colocate images close to the Markdown files using them:
+
+```md
+![Docusaurus logo](./img/docusaurus.png)
+```
+
+## Code Blocks
+
+Markdown code blocks are supported with Syntax highlighting.
+
+    ```jsx title="src/components/HelloDocusaurus.js"
+    function HelloDocusaurus() {
+        return (
+            <h1>Hello, Docusaurus!</h1>
+        )
+    }
+    ```
+
+```jsx title="src/components/HelloDocusaurus.js"
+function HelloDocusaurus() {
+  return <h1>Hello, Docusaurus!</h1>;
+}
+```
+
+## Admonitions
+
+Docusaurus has a special syntax to create admonitions and callouts:
+
+    :::tip My tip
+
+    Use this awesome feature option
+
+    :::
+
+    :::danger Take care
+
+    This action is dangerous
+
+    :::
+
+:::tip My tip
+
+Use this awesome feature option
+
+:::
+
+:::danger Take care
+
+This action is dangerous
+
+:::
+
+## MDX and React Components
+
+[MDX](https://mdxjs.com/) can make your documentation more **interactive** and allows using any **React components inside Markdown**:
+
+```jsx
+export const Highlight = ({children, color}) => (
+  <span
+    style={{
+      backgroundColor: color,
+      borderRadius: '20px',
+      color: '#fff',
+      padding: '10px',
+      cursor: 'pointer',
+    }}
+    onClick={() => {
+      alert(`You clicked the color ${color} with label ${children}`)
+    }}>
+    {children}
+  </span>
+);
+
+This is <Highlight color="#25c2a0">Docusaurus green</Highlight> !
+
+This is <Highlight color="#1877F2">Facebook blue</Highlight> !
+```
+
+export const Highlight = ({children, color}) => (
+  <span
+    style={{
+      backgroundColor: color,
+      borderRadius: '20px',
+      color: '#fff',
+      padding: '10px',
+      cursor: 'pointer',
+    }}
+    onClick={() => {
+      alert(`You clicked the color ${color} with label ${children}`);
+    }}>
+    {children}
+  </span>
+);
+
+This is <Highlight color="#25c2a0">Docusaurus green</Highlight> !
+
+This is <Highlight color="#1877F2">Facebook blue</Highlight> !
--- a/docs/my-website/src/pages/tutorial-extras/_category_.json
+++ b/docs/my-website/src/pages/tutorial-extras/_category_.json
@ -0,0 +1,7 @@
+{
+  "label": "Tutorial - Extras",
+  "position": 3,
+  "link": {
+    "type": "generated-index"
+  }
+}
--- a/docs/my-website/src/pages/tutorial-extras/img/docsVersionDropdown.png
+++ b/docs/my-website/src/pages/tutorial-extras/img/docsVersionDropdown.png
--- a/docs/my-website/src/pages/tutorial-extras/img/localeDropdown.png
+++ b/docs/my-website/src/pages/tutorial-extras/img/localeDropdown.png
--- a/docs/my-website/src/pages/tutorial-extras/manage-docs-versions.md
+++ b/docs/my-website/src/pages/tutorial-extras/manage-docs-versions.md
@ -0,0 +1,55 @@
+---
+sidebar_position: 1
+---
+
+# Manage Docs Versions
+
+Docusaurus can manage multiple versions of your docs.
+
+## Create a docs version
+
+Release a version 1.0 of your project:
+
+```bash
+npm run docusaurus docs:version 1.0
+```
+
+The `docs` folder is copied into `versioned_docs/version-1.0` and `versions.json` is created.
+
+Your docs now have 2 versions:
+
+- `1.0` at `http://localhost:3000/docs/` for the version 1.0 docs
+- `current` at `http://localhost:3000/docs/next/` for the **upcoming, unreleased docs**
+
+## Add a Version Dropdown
+
+To navigate seamlessly across versions, add a version dropdown.
+
+Modify the `docusaurus.config.js` file:
+
+```js title="docusaurus.config.js"
+module.exports = {
+  themeConfig: {
+    navbar: {
+      items: [
+        // highlight-start
+        {
+          type: 'docsVersionDropdown',
+        },
+        // highlight-end
+      ],
+    },
+  },
+};
+```
+
+The docs version dropdown appears in your navbar:
+
+![Docs Version Dropdown](./img/docsVersionDropdown.png)
+
+## Update an existing version
+
+It is possible to edit versioned docs in their respective folder:
+
+- `versioned_docs/version-1.0/hello.md` updates `http://localhost:3000/docs/hello`
+- `docs/hello.md` updates `http://localhost:3000/docs/next/hello`
--- a/docs/my-website/src/pages/tutorial-extras/translate-your-site.md
+++ b/docs/my-website/src/pages/tutorial-extras/translate-your-site.md
@ -0,0 +1,88 @@
+---
+sidebar_position: 2
+---
+
+# Translate your site
+
+Let's translate `docs/intro.md` to French.
+
+## Configure i18n
+
+Modify `docusaurus.config.js` to add support for the `fr` locale:
+
+```js title="docusaurus.config.js"
+module.exports = {
+  i18n: {
+    defaultLocale: 'en',
+    locales: ['en', 'fr'],
+  },
+};
+```
+
+## Translate a doc
+
+Copy the `docs/intro.md` file to the `i18n/fr` folder:
+
+```bash
+mkdir -p i18n/fr/docusaurus-plugin-content-docs/current/
+
+cp docs/intro.md i18n/fr/docusaurus-plugin-content-docs/current/intro.md
+```
+
+Translate `i18n/fr/docusaurus-plugin-content-docs/current/intro.md` in French.
+
+## Start your localized site
+
+Start your site on the French locale:
+
+```bash
+npm run start -- --locale fr
+```
+
+Your localized site is accessible at [http://localhost:3000/fr/](http://localhost:3000/fr/) and the `Getting Started` page is translated.
+
+:::caution
+
+In development, you can only use one locale at a same time.
+
+:::
+
+## Add a Locale Dropdown
+
+To navigate seamlessly across languages, add a locale dropdown.
+
+Modify the `docusaurus.config.js` file:
+
+```js title="docusaurus.config.js"
+module.exports = {
+  themeConfig: {
+    navbar: {
+      items: [
+        // highlight-start
+        {
+          type: 'localeDropdown',
+        },
+        // highlight-end
+      ],
+    },
+  },
+};
+```
+
+The locale dropdown now appears in your navbar:
+
+![Locale Dropdown](./img/localeDropdown.png)
+
+## Build your localized site
+
+Build your site for a specific locale:
+
+```bash
+npm run build -- --locale fr
+```
+
+Or build your site to include all the locales at once:
+
+```bash
+npm run build
+```
--- a/docs/my-website/static/.nojekyll
+++ b/docs/my-website/static/.nojekyll
--- a/docs/my-website/static/img/docusaurus-social-card.jpg
+++ b/docs/my-website/static/img/docusaurus-social-card.jpg
--- a/docs/my-website/static/img/docusaurus.png
+++ b/docs/my-website/static/img/docusaurus.png
--- a/docs/my-website/static/img/favicon.ico
+++ b/docs/my-website/static/img/favicon.ico
--- a/docs/my-website/static/img/logo.svg
+++ b/docs/my-website/static/img/logo.svg
--- a/docs/my-website/static/img/undraw_docusaurus_mountain.svg
+++ b/docs/my-website/static/img/undraw_docusaurus_mountain.svg
@ -0,0 +1,171 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="1088" height="687.962" viewBox="0 0 1088 687.962">
+  <title>Easy to Use</title>
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+</svg>
--- a/old-docs/advanced.md
+++ b/old-docs/advanced.md
--- a/old-docs/berrispend_integration.md
+++ b/old-docs/berrispend_integration.md
--- a/old-docs/client_integrations.md
+++ b/old-docs/client_integrations.md
--- a/old-docs/contact.md
+++ b/old-docs/contact.md
@ -0,0 +1,6 @@
+# Contact Us
+
+[![](https://dcbadge.vercel.app/api/server/wuPM9dRgDw)](https://discord.gg/wuPM9dRgDw)
+
+* [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
--- a/old-docs/contributing.md
+++ b/old-docs/contributing.md
--- a/old-docs/helicone_integration.md
+++ b/old-docs/helicone_integration.md
@ -0,0 +1,55 @@
+# Helicone Tutorial 
+[Helicone](https://helicone.ai/) is an open source observability platform that proxies your OpenAI traffic and provides you key insights into your spend, latency and usage.
+
+## Use Helicone to log requests across all LLM Providers (OpenAI, Azure, Anthropic, Cohere, Replicate, PaLM)
+liteLLM provides `success_callbacks` and `failure_callbacks`, making it easy for you to send data to a particular provider depending on the status of your responses. 
+
+In this case, we want to log requests to Helicone when a request succeeds. 
+
+### Approach 1: Use Callbacks 
+Use just 1 line of code, to instantly log your responses **across all providers** with helicone: 
+```
+litellm.success_callback=["helicone"]
+```
+
+Complete code
+```python
+from litellm import completion
+
+## set env variables
+os.environ["HELICONE_API_KEY"] = "your-helicone-key" 
+os.environ["OPENAI_API_KEY"], os.environ["COHERE_API_KEY"] = "", ""
+
+# set callbacks
+litellm.success_callback=["helicone"]
+
+#openai call
+response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}]) 
+
+#cohere call
+response = completion(model="command-nightly", messages=[{"role": "user", "content": "Hi 👋 - i'm cohere"}]) 
+```
+
+### Approach 2: [OpenAI + Azure only] Use Helicone as a proxy
+Helicone provides advanced functionality like caching, etc. Helicone currently supports this for Azure and OpenAI.
+
+If you want to use Helicone to proxy your OpenAI/Azure requests, then you can - 
+
+- Set helicone as your base url via: `litellm.api_url` 
+- Pass in helicone request headers via: `litellm.headers` 
+
+Complete Code
+```
+import litellm
+from litellm import completion
+
+litellm.api_base = "https://oai.hconeai.com/v1"
+litellm.headers = {"Helicone-Auth": f"Bearer {os.getenv('HELICONE_API_KEY')}"}
+
+response = litellm.completion(
+    model="gpt-3.5-turbo",
+    messages=[{"role": "user", "content": "how does a court case get to the Supreme Court?"}]
+)
+
+print(response)
+```
--- a/old-docs/index.md
+++ b/old-docs/index.md
--- a/old-docs/input.md
+++ b/old-docs/input.md
--- a/old-docs/output.md
+++ b/old-docs/output.md
--- a/old-docs/secret.md
+++ b/old-docs/secret.md
--- a/old-docs/stream.md
+++ b/old-docs/stream.md
@ -0,0 +1,33 @@
+# Streaming Responses & Async Completion
+
+- [Streaming Responses](#streaming-responses)
+- [Async Completion](#async-completion)
+
+## Streaming Responses
+LiteLLM supports streaming the model response back by passing `stream=True` as an argument to the completion function
+### Usage
+```python
+response = completion(model="gpt-3.5-turbo", messages=messages, stream=True)
+for chunk in response:
+    print(chunk['choices'][0]['delta'])
+
+```
+
+## Async Completion
+Asynchronous Completion with LiteLLM
+LiteLLM provides an asynchronous version of the completion function called `acompletion`
+### Usage
+```
+from litellm import acompletion
+import asyncio
+
+async def test_get_response():
+    user_message = "Hello, how are you?"
+    messages = [{"content": user_message, "role": "user"}]
+    response = await acompletion(model="gpt-3.5-turbo", messages=messages)
+    return response
+
+response = asyncio.run(test_get_response())
+print(response)
+
+```
--- a/old-docs/supported.md
+++ b/old-docs/supported.md
--- a/old-docs/supported_embedding.md
+++ b/old-docs/supported_embedding.md
--- a/old-docs/token_usage.md
+++ b/old-docs/token_usage.md
@ -0,0 +1,45 @@
+# Token Usage
+By default LiteLLM returns token usage in all completion requests ([See here](https://litellm.readthedocs.io/en/latest/output/))
+
+However, we also expose 3 public helper functions to calculate token usage across providers:
+
+- `token_counter`: This returns the number of tokens for a given input - it uses the tokenizer based on the model, and defaults to tiktoken if no model-specific tokenizer is available. 
+
+- `cost_per_token`: This returns the cost (in USD) for prompt (input) and completion (output) tokens. It utilizes our model_cost map which can be found in `__init__.py` and also as a [community resource](https://github.com/BerriAI/litellm/blob/main/cookbook/community-resources/max_tokens.json).
+
+- `completion_cost`: This returns the overall cost (in USD) for a given LLM API Call. It combines `token_counter` and `cost_per_token` to return the cost for that query (counting both cost of input and output). 
+
+## Example Usage 
+
+1. `token_counter`
+
+```python
+from litellm import token_counter
+
+messages = [{"user": "role", "content": "Hey, how's it going"}]
+print(token_counter(model="gpt-3.5-turbo", messages=messages))
+```
+
+2. `cost_per_token`
+
+```python
+from litellm import cost_per_token
+
+prompt_tokens =  5
+completion_tokens = 10
+prompt_tokens_cost_usd_dollar, completion_tokens_cost_usd_dollar = cost_per_token(model="gpt-3.5-turbo", prompt_tokens=prompt_tokens, completion_tokens=completion_tokens))
+
+print(prompt_tokens_cost_usd_dollar, completion_tokens_cost_usd_dollar)
+```
+
+3. `completion_cost`
+
+```python
+from litellm import completion_cost
+
+prompt = "Hey, how's it going"
+completion = "Hi, I'm gpt - I am doing well"
+cost_of_query = completion_cost(model="gpt-3.5-turbo", prompt=prompt, completion=completion))
+
+print(cost_of_query)
+```
--- a/old-docs/troubleshoot.md
+++ b/old-docs/troubleshoot.md