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"""
Callback to log events to a Generic API Endpoint
- Creates a StandardLoggingPayload
- Adds to batch queue
- Flushes based on CustomBatchLogger settings
"""
import asyncio
import os
import traceback
import uuid
from typing import Dict, List, Optional, Union
import litellm
from litellm._logging import verbose_logger
from litellm.integrations.custom_batch_logger import CustomBatchLogger
from litellm.litellm_core_utils.safe_json_dumps import safe_dumps
from litellm.llms.custom_httpx.http_handler import (
get_async_httpx_client,
httpxSpecialProvider,
)
from litellm.types.utils import StandardLoggingPayload
class GenericAPILogger(CustomBatchLogger):
def __init__(
self,
endpoint: Optional[str] = None,
headers: Optional[dict] = None,
**kwargs,
):
"""
Initialize the GenericAPILogger
Args:
endpoint: Optional[str] = None,
headers: Optional[dict] = None,
"""
#########################################################
# Init httpx client
#########################################################
self.async_httpx_client = get_async_httpx_client(
llm_provider=httpxSpecialProvider.LoggingCallback
)
endpoint = endpoint or os.getenv("GENERIC_LOGGER_ENDPOINT")
if endpoint is None:
raise ValueError(
"endpoint not set for GenericAPILogger, GENERIC_LOGGER_ENDPOINT not found in environment variables"
)
self.headers: Dict = self._get_headers(headers)
self.endpoint: str = endpoint
verbose_logger.debug(
f"in init GenericAPILogger, endpoint {self.endpoint}, headers {self.headers}"
)
#########################################################
# Init variables for batch flushing logs
#########################################################
self.flush_lock = asyncio.Lock()
super().__init__(**kwargs, flush_lock=self.flush_lock)
asyncio.create_task(self.periodic_flush())
self.log_queue: List[Union[Dict, StandardLoggingPayload]] = []
def _get_headers(self, headers: Optional[dict] = None):
"""
Get headers for the Generic API Logger
Returns:
Dict: Headers for the Generic API Logger
Args:
headers: Optional[dict] = None
"""
# Process headers from different sources
headers_dict = {
"Content-Type": "application/json",
}
# 1. First check for headers from env var
env_headers = os.getenv("GENERIC_LOGGER_HEADERS")
if env_headers:
try:
# Parse headers in format "key1=value1,key2=value2" or "key1=value1"
header_items = env_headers.split(",")
for item in header_items:
if "=" in item:
key, value = item.split("=", 1)
headers_dict[key.strip()] = value.strip()
except Exception as e:
verbose_logger.warning(
f"Error parsing headers from environment variables: {str(e)}"
)
# 2. Update with litellm generic headers if available
if litellm.generic_logger_headers:
headers_dict.update(litellm.generic_logger_headers)
# 3. Override with directly provided headers if any
if headers:
headers_dict.update(headers)
return headers_dict
async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
"""
Async Log success events to Generic API Endpoint
- Creates a StandardLoggingPayload
- Adds to batch queue
- Flushes based on CustomBatchLogger settings
Raises:
Raises a NON Blocking verbose_logger.exception if an error occurs
"""
from litellm.proxy.utils import _premium_user_check
_premium_user_check()
try:
verbose_logger.debug(
"Generic API Logger - Enters logging function for model %s", kwargs
)
standard_logging_payload = kwargs.get("standard_logging_object", None)
# Backwards compatibility with old logging payload
if litellm.generic_api_use_v1 is True:
payload = self._get_v1_logging_payload(
kwargs=kwargs,
response_obj=response_obj,
start_time=start_time,
end_time=end_time,
)
self.log_queue.append(payload)
else:
# New logging payload, StandardLoggingPayload
self.log_queue.append(standard_logging_payload)
if len(self.log_queue) >= self.batch_size:
await self.async_send_batch()
except Exception as e:
verbose_logger.exception(
f"Generic API Logger Error - {str(e)}\n{traceback.format_exc()}"
)
pass
async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time):
"""
Async Log failure events to Generic API Endpoint
- Creates a StandardLoggingPayload
- Adds to batch queue
"""
from litellm.proxy.utils import _premium_user_check
_premium_user_check()
try:
verbose_logger.debug(
"Generic API Logger - Enters logging function for model %s", kwargs
)
standard_logging_payload = kwargs.get("standard_logging_object", None)
if litellm.generic_api_use_v1 is True:
payload = self._get_v1_logging_payload(
kwargs=kwargs,
response_obj=response_obj,
start_time=start_time,
end_time=end_time,
)
self.log_queue.append(payload)
else:
self.log_queue.append(standard_logging_payload)
if len(self.log_queue) >= self.batch_size:
await self.async_send_batch()
except Exception as e:
verbose_logger.exception(
f"Generic API Logger Error - {str(e)}\n{traceback.format_exc()}"
)
async def async_send_batch(self):
"""
Sends the batch of messages to Generic API Endpoint
"""
try:
if not self.log_queue:
return
verbose_logger.debug(
f"Generic API Logger - about to flush {len(self.log_queue)} events"
)
# make POST request to Generic API Endpoint
response = await self.async_httpx_client.post(
url=self.endpoint,
headers=self.headers,
data=safe_dumps(self.log_queue),
)
verbose_logger.debug(
f"Generic API Logger - sent batch to {self.endpoint}, status code {response.status_code}"
)
except Exception as e:
verbose_logger.exception(
f"Generic API Logger Error sending batch - {str(e)}\n{traceback.format_exc()}"
)
finally:
self.log_queue.clear()
def _get_v1_logging_payload(
self, kwargs, response_obj, start_time, end_time
) -> dict:
"""
Maintained for backwards compatibility with old logging payload
Returns a dict of the payload to send to the Generic API Endpoint
"""
verbose_logger.debug(
f"GenericAPILogger Logging - Enters logging function for model {kwargs}"
)
# construct payload to send custom logger
# follows the same params as langfuse.py
litellm_params = kwargs.get("litellm_params", {})
metadata = (
litellm_params.get("metadata", {}) or {}
) # if litellm_params['metadata'] == None
messages = kwargs.get("messages")
cost = kwargs.get("response_cost", 0.0)
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()))
# Build the initial payload
payload = {
"id": id,
"call_type": call_type,
"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,
"cost": cost,
}
# Ensure everything in the payload is converted to str
for key, value in payload.items():
try:
payload[key] = str(value)
except Exception:
# non blocking if it can't cast to a str
pass
return payload
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