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This makes sense to me. I’d previously mentioned here [1]:

> …can’t people just build their product with openAI or other and plan to move away based on the cost and fit for their circumstances?

> Couldn’t someone say prototype the entire product on some lower-quality LLM and occasionally pass requests to GPT4 to validate behavior?

This seems to reduce the switching costs to almost nothing.

[1] https://news.ycombinator.com/item?id=36626943



If you'd like to add any of these ideas as notebooks to our cookbook - https://github.com/BerriAI/litellm/tree/main/cookbook, we'd love the contribution!


Those are really cool use-cases. I wrote a bit about our initial motivation for LiteLLM here - https://hackernoon.com/litellm-call-every-llm-api-like-its-o....

tldr; reliable model switching involved multiple 100-line if/else statements, which made our code messy, and debugging in prod pretty hard.




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