#### What this tests ####
#    This tests error logging (with custom user functions) for the `completion` + `embedding` endpoints w/ callbacks

import sys, os
import traceback
sys.path.insert(0, os.path.abspath('../..'))  # Adds the parent directory to the system path
import litellm
from litellm import embedding, completion

litellm.success_callback = ["posthog"]
litellm.failure_callback = ["slack", "sentry", "posthog"]

# litellm.set_verbose = True

def logger_fn(model_call_object: dict):
    # print(f"model call details: {model_call_object}")
    pass

user_message = "Hello, how are you?"
messages = [{ "content": user_message,"role": "user"}]

# test on openai completion call 
try:
    response = completion(model="gpt-3.5-turbo", messages=messages, logger_fn=logger_fn)
except:
    print(f"error occurred: {traceback.format_exc()}") 
    pass

# test on non-openai completion call 
try:
    response = completion(model="claude-instant-1", messages=messages, logger_fn=logger_fn)
except:
    print(f"error occurred: {traceback.format_exc()}") 
    pass

# test on openai embedding call 
try: 
    response = embedding(model='text-embedding-ada-002', input=[user_message], logger_fn=logger_fn)
    print(f"response: {str(response)[:50]}")
except:
    traceback.print_exc()

# test on bad azure openai embedding call -> missing azure flag and this isn't an embedding model
try: 
    response = embedding(model='chatgpt-test', input=[user_message], logger_fn=logger_fn)
    print(f"response: {str(response)[:50]}")
except:
    traceback.print_exc()

# test on good azure openai embedding call 
try: 
    response = embedding(model='azure-embedding-model', input=[user_message], azure=True, logger_fn=logger_fn)
    print(f"response: {str(response)[:50]}")
except:
    traceback.print_exc()