litellm-mirror/litellm/proxy/custom_logger.py
2023-12-04 09:23:55 -08:00

43 lines
1.3 KiB
Python

from litellm.integrations.custom_logger import CustomLogger
import litellm
class MyCustomHandler(CustomLogger):
def log_pre_api_call(self, model, messages, kwargs):
print(f"Pre-API Call")
def log_post_api_call(self, kwargs, response_obj, start_time, end_time):
print(f"Post-API Call")
def log_stream_event(self, kwargs, response_obj, start_time, end_time):
print(f"On Stream")
def log_success_event(self, kwargs, response_obj, start_time, end_time):
print(f"On Success")
# log: key, user, model, prompt, response, tokens, cost
print("\n kwargs\n")
print(kwargs)
model = kwargs["model"]
messages = kwargs["messages"]
cost = litellm.completion_cost(completion_response=response_obj)
response = response_obj
# tokens used in response
usage = response_obj["usage"]
print(
f"""
Model: {model},
Messages: {messages},
Usage: {usage},
Cost: {cost},
Response: {response}
"""
)
print(usage)
def log_failure_event(self, kwargs, response_obj, start_time, end_time):
print(f"On Failure")
proxy_handler_instance = MyCustomHandler()
# need to set litellm.callbacks = [customHandler] # on the proxy