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making logging a class - adding input-callbacks

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This commit is contained in:
Krrish Dholakia 2023-08-19 20:03:31 -07:00
parent 9ac577ed6f
commit d792be89de
12 changed files with 237 additions and 315 deletions
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28
litellm/llms/huggingface_restapi.py
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@ -2,7 +2,6 @@
import os, json
from enum import Enum
import requests
from litellm import logging
import time
from typing import Callable
from litellm.utils import ModelResponse
@ -19,8 +18,9 @@ class HuggingfaceError(Exception):
class HuggingfaceRestAPILLM:
def __init__(self, encoding, api_key=None) -> None:
def __init__(self, encoding, logging_obj, api_key=None) -> None:
self.encoding = encoding
self.logging_obj = logging_obj
self.validate_environment(api_key=api_key)
def validate_environment(
@ -74,18 +74,10 @@ class HuggingfaceRestAPILLM:
optional_params["max_new_tokens"] = value
data = {
"inputs": prompt,
# "parameters": optional_params
"parameters": optional_params
}
## LOGGING
logging(
model=model,
input=prompt,
additional_args={
"litellm_params": litellm_params,
"optional_params": optional_params,
},
logger_fn=logger_fn,
)
logging.pre_call(input=prompt, api_key=self.api_key, additional_args={"complete_input_dict": data})
## COMPLETION CALL
response = requests.post(
completion_url, headers=self.headers, data=json.dumps(data)
@ -94,17 +86,7 @@ class HuggingfaceRestAPILLM:
return response.iter_lines()
else:
## LOGGING
logging(
model=model,
input=prompt,
additional_args={
"litellm_params": litellm_params,
"optional_params": optional_params,
"original_response": response.text,
},
logger_fn=logger_fn,
)
print_verbose(f"raw model_response: {response.text}")
logging.post_call(input=prompt, api_key=self.api_key, original_response=response.text, additional_args={"complete_input_dict": data})
## RESPONSE OBJECT
completion_response = response.json()
print_verbose(f"response: {completion_response}")