mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-25 02:34:29 +00:00
49 lines
1.7 KiB
Python
49 lines
1.7 KiB
Python
#### What this does ####
|
|
# On success, logs events to Promptlayer
|
|
import dotenv, os
|
|
import requests
|
|
import requests
|
|
|
|
dotenv.load_dotenv() # Loading env variables using dotenv
|
|
import traceback
|
|
|
|
|
|
class PromptLayerLogger:
|
|
# Class variables or attributes
|
|
def __init__(self):
|
|
# Instance variables
|
|
self.key = os.getenv("PROMPTLAYER_API_KEY")
|
|
|
|
def log_event(self, kwargs, response_obj, start_time, end_time, print_verbose):
|
|
# Method definition
|
|
try:
|
|
print_verbose(
|
|
f"Prompt Layer Logging - Enters logging function for model {kwargs}"
|
|
)
|
|
|
|
request_response = requests.post(
|
|
"https://api.promptlayer.com/rest/track-request",
|
|
json={
|
|
"function_name": "openai.ChatCompletion.create",
|
|
"kwargs": kwargs,
|
|
"tags": ["hello", "world"],
|
|
"request_response": dict(
|
|
response_obj
|
|
), # TODO: Check if we need a dict
|
|
"request_start_time": int(start_time.timestamp()),
|
|
"request_end_time": int(end_time.timestamp()),
|
|
"api_key": self.key,
|
|
# Optional params for PromptLayer
|
|
# "prompt_id": "<PROMPT ID>",
|
|
# "prompt_input_variables": "<Dictionary of variables for prompt>",
|
|
# "prompt_version":1,
|
|
},
|
|
)
|
|
|
|
print_verbose(
|
|
f"Prompt Layer Logging - final response object: {request_response}"
|
|
)
|
|
except:
|
|
# traceback.print_exc()
|
|
print_verbose(f"Prompt Layer Error - {traceback.format_exc()}")
|
|
pass
|