Comments (6)
Re-opened after reading a bit more carefully. @thiswillbeyourgithub if you're sharing a minimal example in the future, it's much better to share the example itself, and then any utility code to identify more cases. the utility code uses a bunch of functionality (e.g., exec
) -- that made this look like spam on a first read
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Issue is here:
Likely affected by any other helper objects (e.g., client)
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I'm writing a minimal example right now
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Hi @thiswillbeyourgithub, thanks!
I confirmed locally already, so we're all set :)
from langchain_anthropic import ChatAnthropic
from langchain_core.caches import InMemoryCache
cache = InMemoryCache()
model = ChatAnthropic(cache=InMemoryCache(), model_name='hello')
model._get_llm_string()
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Alright, sorry for the extensive reproduction but at first I showed this on ChatOpenAI then noticed that the issue was so extensive (affecting at least 7 chat models) and is not only related to cache but sometimes to other attributes as well for example for Anthropic as you saw.
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So my original code is a bit awkward but allows to quickly see a lower bound of what attributes of which model is posing problem
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