Taqi Jaffri 21fbbe83a7 Fix fine-tuned replicate models with faster cold boot (#10512) ...

With the latest support for faster cold boot in replicate
https://replicate.com/blog/fine-tune-cold-boots it looks like the
replicate LLM support in langchain is broken since some internal
replicate inputs are being returned.

Screenshot below illustrates the problem:

<img width="1917" alt="image"
src="https://github.com/langchain-ai/langchain/assets/749277/d28c27cc-40fb-4258-8710-844c00d3c2b0">

As you can see, the new replicate_weights param is being sent down with
x-order = 0 (which is causing langchain to use that param instead of
prompt which is x-order = 1)

FYI @baskaryan this requires a fix otherwise replicate is broken for
these models. I have pinged replicate whether they want to fix it on
their end by changing the x-order returned by them.

Update: per suggestion I updated the PR to just allow manually setting
the prompt_key which can be set to "prompt" in this case by callers... I
think this is going to be faster anyway than trying to dynamically query
the model every time if you know the prompt key for your model.

---------

Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>

2023-09-12 15:40:55 -07:00

..

experimental

bump 287 (#10498)

2023-09-12 08:06:47 -07:00

langchain

Fix fine-tuned replicate models with faster cold boot (#10512)

2023-09-12 15:40:55 -07:00