ishaan-jaff
commented
11 months ago Hi @alysawyer @mikeizbicki 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)
Hi Mike!
I'm interested in fine tuning, maybe Anthropic specifically, but it looks like you have to ask an Anthropic contact if you are interested since their API does not offer fine tuning.
Would it make sense to reach out or should I look into another model instead (do you have any other model recommendations to look into?)