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https://github.com/BerriAI/litellm.git
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fix move logic to custom_batch_logger
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parent
e681619381
commit
368a5fd052
2 changed files with 61 additions and 32 deletions
53
litellm/integrations/custom_batch_logger.py
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53
litellm/integrations/custom_batch_logger.py
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@ -0,0 +1,53 @@
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"""
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Custom Logger that handles batching logic
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Use this if you want your logs to be stored in memory and flushed periodically
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"""
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import asyncio
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import time
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from typing import List, Literal, Optional
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from litellm._logging import verbose_logger
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from litellm.integrations.custom_logger import CustomLogger
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DEFAULT_BATCH_SIZE = 512
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DEFAULT_FLUSH_INTERVAL_SECONDS = 5
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class CustomBatchLogger(CustomLogger):
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def __init__(self, flush_lock: Optional[asyncio.Lock] = None, **kwargs) -> None:
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"""
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Args:
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flush_lock (Optional[asyncio.Lock], optional): Lock to use when flushing the queue. Defaults to None. Only used for custom loggers that do batching
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"""
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self.log_queue: List = []
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self.flush_interval = DEFAULT_FLUSH_INTERVAL_SECONDS # 10 seconds
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self.batch_size = DEFAULT_BATCH_SIZE
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self.last_flush_time = time.time()
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self.flush_lock = flush_lock
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super().__init__(**kwargs)
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pass
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async def periodic_flush(self):
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while True:
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await asyncio.sleep(self.flush_interval)
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verbose_logger.debug(
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f"CustomLogger periodic flush after {self.flush_interval} seconds"
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)
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await self.flush_queue()
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async def flush_queue(self):
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async with self.flush_lock:
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if self.log_queue:
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verbose_logger.debug(
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"CustomLogger: Flushing batch of %s events", self.batch_size
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)
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await self.async_send_batch()
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self.log_queue.clear()
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self.last_flush_time = time.time()
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async def async_send_batch(self):
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pass
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@ -17,16 +17,13 @@ from pydantic import BaseModel # type: ignore
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import litellm
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import litellm
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from litellm._logging import verbose_logger
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from litellm._logging import verbose_logger
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from litellm.integrations.custom_logger import CustomLogger
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from litellm.integrations.custom_batch_logger import CustomBatchLogger
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from litellm.llms.custom_httpx.http_handler import (
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from litellm.llms.custom_httpx.http_handler import (
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AsyncHTTPHandler,
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AsyncHTTPHandler,
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get_async_httpx_client,
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get_async_httpx_client,
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httpxSpecialProvider,
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httpxSpecialProvider,
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)
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)
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DEFAULT_BATCH_SIZE = 512
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DEFAULT_FLUSH_INTERVAL_SECONDS = 5
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class LangsmithInputs(BaseModel):
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class LangsmithInputs(BaseModel):
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model: Optional[str] = None
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model: Optional[str] = None
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@ -59,8 +56,8 @@ def is_serializable(value):
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return not isinstance(value, non_serializable_types)
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return not isinstance(value, non_serializable_types)
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class LangsmithLogger(CustomLogger):
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class LangsmithLogger(CustomBatchLogger):
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def __init__(self):
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def __init__(self, **kwargs):
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self.langsmith_api_key = os.getenv("LANGSMITH_API_KEY")
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self.langsmith_api_key = os.getenv("LANGSMITH_API_KEY")
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self.langsmith_project = os.getenv("LANGSMITH_PROJECT", "litellm-completion")
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self.langsmith_project = os.getenv("LANGSMITH_PROJECT", "litellm-completion")
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self.langsmith_default_run_name = os.getenv(
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self.langsmith_default_run_name = os.getenv(
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@ -72,17 +69,14 @@ class LangsmithLogger(CustomLogger):
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self.async_httpx_client = get_async_httpx_client(
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self.async_httpx_client = get_async_httpx_client(
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llm_provider=httpxSpecialProvider.LoggingCallback
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llm_provider=httpxSpecialProvider.LoggingCallback
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)
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)
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_batch_size = (
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_batch_size = (
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os.getenv("LANGSMITH_BATCH_SIZE", DEFAULT_BATCH_SIZE)
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os.getenv("LANGSMITH_BATCH_SIZE", None) or litellm.langsmith_batch_size
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or litellm.langsmith_batch_size
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)
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)
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if _batch_size:
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self.batch_size = int(_batch_size)
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self.batch_size = int(_batch_size)
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self.log_queue = []
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self.flush_interval = DEFAULT_FLUSH_INTERVAL_SECONDS # 10 seconds
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self.last_flush_time = time.time()
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asyncio.create_task(self.periodic_flush())
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asyncio.create_task(self.periodic_flush())
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self.flush_lock = asyncio.Lock()
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self.flush_lock = asyncio.Lock()
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super().__init__(**kwargs, flush_lock=self.flush_lock)
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def _prepare_log_data(self, kwargs, response_obj, start_time, end_time):
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def _prepare_log_data(self, kwargs, response_obj, start_time, end_time):
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import datetime
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import datetime
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@ -291,17 +285,7 @@ class LangsmithLogger(CustomLogger):
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except:
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except:
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verbose_logger.error(f"Langsmith Layer Error - {traceback.format_exc()}")
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verbose_logger.error(f"Langsmith Layer Error - {traceback.format_exc()}")
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async def flush_queue(self):
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async def async_send_batch(self):
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async with self.flush_lock:
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if self.log_queue:
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verbose_logger.debug(
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"Langsmith: Flushing batch of %s events", self.batch_size
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)
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await self._async_send_batch()
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self.log_queue.clear()
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self.last_flush_time = time.time()
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async def _async_send_batch(self):
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"""
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"""
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sends runs to /batch endpoint
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sends runs to /batch endpoint
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@ -360,11 +344,3 @@ class LangsmithLogger(CustomLogger):
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st = datetime.now(timezone.utc)
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st = datetime.now(timezone.utc)
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id_ = run_id
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id_ = run_id
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return st.strftime("%Y%m%dT%H%M%S%fZ") + str(id_)
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return st.strftime("%Y%m%dT%H%M%S%fZ") + str(id_)
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async def periodic_flush(self):
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while True:
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await asyncio.sleep(self.flush_interval)
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verbose_logger.debug(
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f"Langsmith periodic flush after {self.flush_interval} seconds"
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)
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await self.flush_queue()
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