(chore) cleanup utils.py

litellm/utils.py

@@ -8423,72 +8423,3 @@ def print_args_passed_to_litellm(original_function, args, kwargs):
     except:
         # This should always be non blocking
         pass
-
-
-def get_logging_payload(kwargs, response_obj, start_time, end_time):
-    from litellm.proxy._types import LiteLLM_SpendLogs
-    from pydantic import Json
-
-    if kwargs == None:
-        kwargs = {}
-    # standardize this function to be used across, s3, dynamoDB, langfuse logging
-    litellm_params = kwargs.get("litellm_params", {})
-    metadata = (
-        litellm_params.get("metadata", {}) or {}
-    )  # if litellm_params['metadata'] == None
-    messages = kwargs.get("messages")
-    optional_params = kwargs.get("optional_params", {})
-    call_type = kwargs.get("call_type", "litellm.completion")
-    cache_hit = kwargs.get("cache_hit", False)
-    usage = response_obj["usage"]
-    id = response_obj.get("id", str(uuid.uuid4()))
-    api_key = metadata.get("user_api_key", "")
-
-    payload = {
-        "request_id": id,
-        "call_type": call_type,
-        "api_key": api_key,
-        "cache_hit": cache_hit,
-        "startTime": start_time,
-        "endTime": end_time,
-        "model": kwargs.get("model", ""),
-        "user": kwargs.get("user", ""),
-        "modelParameters": optional_params,
-        "messages": messages,
-        "response": response_obj,
-        "usage": usage,
-        "metadata": metadata,
-    }
-
-    json_fields = [
-        field
-        for field, field_type in LiteLLM_SpendLogs.__annotations__.items()
-        if field_type == Json or field_type == Optional[Json]
-    ]
-    str_fields = [
-        field
-        for field, field_type in LiteLLM_SpendLogs.__annotations__.items()
-        if field_type == str or field_type == Optional[str]
-    ]
-    datetime_fields = [
-        field
-        for field, field_type in LiteLLM_SpendLogs.__annotations__.items()
-        if field_type == datetime
-    ]
-
-    for param in json_fields:
-        if param in payload and type(payload[param]) != Json:
-            if type(payload[param]) == ModelResponse:
-                payload[param] = payload[param].model_dump_json()
-            if type(payload[param]) == EmbeddingResponse:
-                payload[param] = payload[param].model_dump_json()
-            elif type(payload[param]) == Usage:
-                payload[param] = payload[param].model_dump_json()
-            else:
-                payload[param] = json.dumps(payload[param])
-
-    for param in str_fields:
-        if param in payload and type(payload[param]) != str:
-            payload[param] = str(payload[param])
-
-    return payload