forked from phoenix/litellm-mirror
fix - fix redacting messages litellm
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2 changed files with 78 additions and 39 deletions
63
litellm/litellm_core_utils/redact_messages.py
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63
litellm/litellm_core_utils/redact_messages.py
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# +-----------------------------------------------+
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# | |
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# | Give Feedback / Get Help |
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# | https://github.com/BerriAI/litellm/issues/new |
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# | |
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# +-----------------------------------------------+
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#
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# Thank you users! We ❤️ you! - Krrish & Ishaan
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import copy
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from typing import TYPE_CHECKING, Any
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import litellm
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if TYPE_CHECKING:
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from litellm.utils import Logging as _LiteLLMLoggingObject
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LiteLLMLoggingObject = _LiteLLMLoggingObject
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else:
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LiteLLMLoggingObject = Any
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def redact_message_input_output_from_logging(
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litellm_logging_obj: LiteLLMLoggingObject, result
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):
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"""
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Removes messages, prompts, input, response from logging. This modifies the data in-place
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only redacts when litellm.turn_off_message_logging == True
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"""
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# check if user opted out of logging message/response to callbacks
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if litellm.turn_off_message_logging is not True:
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return result
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_result = copy.deepcopy(result)
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# remove messages, prompts, input, response from logging
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litellm_logging_obj.model_call_details["messages"] = [
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{"role": "user", "content": "redacted-by-litellm"}
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]
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litellm_logging_obj.model_call_details["prompt"] = ""
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litellm_logging_obj.model_call_details["input"] = ""
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# response cleaning
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# ChatCompletion Responses
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if (
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litellm_logging_obj.stream
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and "complete_streaming_response" in litellm_logging_obj.model_call_details
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):
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_streaming_response = litellm_logging_obj.model_call_details[
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"complete_streaming_response"
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]
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for choice in _streaming_response.choices:
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if isinstance(choice, litellm.Choices):
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choice.message.content = "redacted-by-litellm"
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elif isinstance(choice, litellm.utils.StreamingChoices):
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choice.delta.content = "redacted-by-litellm"
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else:
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if _result is not None:
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if isinstance(_result, litellm.ModelResponse):
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if hasattr(_result, "choices") and _result.choices is not None:
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for choice in _result.choices:
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if isinstance(choice, litellm.Choices):
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choice.message.content = "redacted-by-litellm"
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elif isinstance(choice, litellm.utils.StreamingChoices):
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choice.delta.content = "redacted-by-litellm"
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@ -35,6 +35,9 @@ import litellm._service_logger # for storing API inputs, outputs, and metadata
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from litellm.llms.custom_httpx.http_handler import HTTPHandler, AsyncHTTPHandler
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from litellm.llms.custom_httpx.http_handler import HTTPHandler, AsyncHTTPHandler
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from litellm.caching import DualCache
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from litellm.caching import DualCache
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from litellm.types.utils import CostPerToken, ProviderField, ModelInfo
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from litellm.types.utils import CostPerToken, ProviderField, ModelInfo
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from litellm.litellm_core_utils.redact_messages import (
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redact_message_input_output_from_logging,
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)
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oidc_cache = DualCache()
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oidc_cache = DualCache()
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@ -1476,7 +1479,9 @@ class Logging:
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print_verbose(
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print_verbose(
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f"LiteLLM.LoggingError: [Non-Blocking] Exception occurred while logging {traceback.format_exc()}"
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f"LiteLLM.LoggingError: [Non-Blocking] Exception occurred while logging {traceback.format_exc()}"
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)
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)
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self.redact_message_input_output_from_logging(result=original_response)
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original_response = redact_message_input_output_from_logging(
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litellm_logging_obj=self, result=original_response
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)
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# Input Integration Logging -> If you want to log the fact that an attempt to call the model was made
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# Input Integration Logging -> If you want to log the fact that an attempt to call the model was made
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callbacks = litellm.input_callback + self.dynamic_input_callbacks
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callbacks = litellm.input_callback + self.dynamic_input_callbacks
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@ -1667,7 +1672,9 @@ class Logging:
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else:
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else:
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callbacks = litellm.success_callback
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callbacks = litellm.success_callback
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self.redact_message_input_output_from_logging(result=result)
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result = redact_message_input_output_from_logging(
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result=result, litellm_logging_obj=self
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)
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for callback in callbacks:
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for callback in callbacks:
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try:
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try:
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@ -2294,7 +2301,9 @@ class Logging:
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else:
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else:
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callbacks = litellm._async_success_callback
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callbacks = litellm._async_success_callback
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self.redact_message_input_output_from_logging(result=result)
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result = redact_message_input_output_from_logging(
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result=result, litellm_logging_obj=self
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)
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for callback in callbacks:
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for callback in callbacks:
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# check if callback can run for this request
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# check if callback can run for this request
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@ -2504,7 +2513,9 @@ class Logging:
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result = None # result sent to all loggers, init this to None incase it's not created
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result = None # result sent to all loggers, init this to None incase it's not created
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self.redact_message_input_output_from_logging(result=result)
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result = redact_message_input_output_from_logging(
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result=result, litellm_logging_obj=self
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)
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for callback in callbacks:
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for callback in callbacks:
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try:
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try:
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if callback == "lite_debugger":
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if callback == "lite_debugger":
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@ -2728,41 +2739,6 @@ class Logging:
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f"LiteLLM.LoggingError: [Non-Blocking] Exception occurred while success logging {traceback.format_exc()}"
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f"LiteLLM.LoggingError: [Non-Blocking] Exception occurred while success logging {traceback.format_exc()}"
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)
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)
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def redact_message_input_output_from_logging(self, result):
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"""
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Removes messages, prompts, input, response from logging. This modifies the data in-place
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only redacts when litellm.turn_off_message_logging == True
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"""
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# check if user opted out of logging message/response to callbacks
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if litellm.turn_off_message_logging is True:
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# remove messages, prompts, input, response from logging
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self.model_call_details["messages"] = [
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{"role": "user", "content": "redacted-by-litellm"}
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]
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self.model_call_details["prompt"] = ""
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self.model_call_details["input"] = ""
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# response cleaning
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# ChatCompletion Responses
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if self.stream and "complete_streaming_response" in self.model_call_details:
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_streaming_response = self.model_call_details[
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"complete_streaming_response"
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]
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for choice in _streaming_response.choices:
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if isinstance(choice, litellm.Choices):
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choice.message.content = "redacted-by-litellm"
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elif isinstance(choice, litellm.utils.StreamingChoices):
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choice.delta.content = "redacted-by-litellm"
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else:
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if result is not None:
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if isinstance(result, litellm.ModelResponse):
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if hasattr(result, "choices") and result.choices is not None:
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for choice in result.choices:
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if isinstance(choice, litellm.Choices):
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choice.message.content = "redacted-by-litellm"
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elif isinstance(choice, litellm.utils.StreamingChoices):
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choice.delta.content = "redacted-by-litellm"
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def exception_logging(
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def exception_logging(
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additional_args={},
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additional_args={},
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