is there any better way to handle api key validation & model names of llm?

[akashAD98]

Checked

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Feature request

im trying to build prodcution redy app & we are calling llm in our code

try:

    llm1 = ChatOpenAI(model="gpt-4", temperature=0, api_key="sk-proj-##")   #, )
    response = llm1.invoke(messages)
    print(response)  
except Exception as e:
   
    print(f"An error occurred: {e}")

here we are getting an exception error as api key is wrong.

i have multiple llms so any better way for handling it ?

such as ex APIConnectionError,AuthenticationError,APIkeyExpired,Wrongmodel name etc

Motivation

im trying to build production ready app & we are calling llm in our code
we can do it hardcoded such as if the error code =402 then it should return the response .

instead of that if we can make it better error code hadnling?

Proposal (If applicable)

No response