Add Azure OpenAI support

[fazedordecodigo]

Support for Azure OpenAI could be added, with this feature the data is not used for AI training, ideal for us to use at work, avoiding information leakage.

[shikelong]

+1.

[wwydmanski]

openai doesn't use API requests for AI training, but nevertheless Azure OpenAI could help in bringing down latency

[akira-cn]

I submit a pull request to add Azure OpenAI support: #96

[ishaan-jaff]

Hi @Delatorrea @shikelong @wwydmanski I believe we can help with this issue. I’m the maintainer of LiteLLM https://github.com/BerriAI/litellm

TLDR:
We allow you to use any LLM as a drop in replacement for gpt-3.5-turbo.
If you don't have access to the LLM you can use the LiteLLM proxy to make requests to the LLM

You can use LiteLLM in the following ways:

With your own API KEY:

This calls the provider API directly

from litellm import completion
import os
## set ENV variables 
os.environ["OPENAI_API_KEY"] = "your-key" # 
os.environ["COHERE_API_KEY"] = "your-key" # 

messages = [{ "content": "Hello, how are you?","role": "user"}]

# openai call
response = completion(model="gpt-3.5-turbo", messages=messages)

# cohere call
response = completion(model="command-nightly", messages=messages)

Using the LiteLLM Proxy with a LiteLLM Key

this is great if you don’t have access to claude but want to use the open source LiteLLM proxy to access claude

from litellm import completion
import os

## set ENV variables 
os.environ["OPENAI_API_KEY"] = "sk-litellm-5b46387675a944d2" # [OPTIONAL] replace with your openai key
os.environ["COHERE_API_KEY"] = "sk-litellm-5b46387675a944d2" # [OPTIONAL] replace with your 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(model="command-nightly", messages=messages)