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Comments (3)

krrishdholakia avatar krrishdholakia commented on May 20, 2024

Analytics.js has callbacks -> maybe having them as success_callback and failure_callback

Screenshot 2023-07-28 at 9 34 21 AM

Alt idea:

from litellm import completion_client
completion = completion_client(success_callback=["posthog"], failure_callback=["posthog","slack"]) 

response = completion(model="gpt-3.5-turbo", messages=messages)

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krrishdholakia avatar krrishdholakia commented on May 20, 2024

Sketching this idea out a bit more - enabling custom functions as well

Use Case: I want to create a unified pricing dashboard on top of this. For that I need to know when it worked/didn't work - when it works -> i'm calculating the number of tokens used for input/output and then sending that data to my supabase table.

from litellm import completion_client
completion = completion_client(success_callback=["posthog"], failure_callback=["posthog","slack"]) 

def success_handler():
   print("it worked!")

def failure_handler():
   print("error occurred")

response = completion(model="gpt-3.5-turbo", messages=messages, success_callback_fn=success_handler, failure_callback_fn=failure_handler)

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krrishdholakia avatar krrishdholakia commented on May 20, 2024

closing as this has been implemented.

https://litellm.readthedocs.io/en/latest/advanced/

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