sagemathinc / cocalc

CoCalc: Collaborative Calculation in the Cloud
https://CoCalc.com
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integrate Claude as an alternative to ChatGPT #6833

Closed williamstein closed 1 month ago

williamstein commented 1 year ago

One clear/amazing motivation for claude for cocalc is that it has a 100K context size limit, which is massive...

ishaan-jaff commented 1 year ago

Hi @williamstein I believe I can help with this issue. I’m the maintainer of LiteLLM https://github.com/BerriAI/litellm - we allow you to use any LLM as a drop in replacement for gpt-3.5-turbo.

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)
haraldschilly commented 1 month ago

we have claude sonnet for quite some time