forked from phoenix/litellm-mirror
fix(test_custom_callbacks_input.py): unit tests for 'turn_off_message_logging'
ensure no raw request is logged either
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4 changed files with 72 additions and 9 deletions
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@ -1308,14 +1308,28 @@ class Logging:
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)
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else:
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verbose_logger.debug(f"\033[92m{curl_command}\033[0m\n")
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# check if user wants the raw request logged to their logging provider (like LangFuse)
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# log raw request to provider (like LangFuse)
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try:
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# [Non-blocking Extra Debug Information in metadata]
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_litellm_params = self.model_call_details.get("litellm_params", {})
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_metadata = _litellm_params.get("metadata", {}) or {}
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_metadata["raw_request"] = str(curl_command)
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except:
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pass
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if (
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litellm.turn_off_message_logging is not None
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and litellm.turn_off_message_logging is True
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):
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_metadata["raw_request"] = (
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"redacted by litellm. \
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'litellm.turn_off_message_logging=True'"
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)
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else:
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_metadata["raw_request"] = str(curl_command)
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except Exception as e:
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_metadata["raw_request"] = (
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"Unable to Log \
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raw request: {}".format(
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str(e)
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)
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)
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if self.logger_fn and callable(self.logger_fn):
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try:
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self.logger_fn(
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@ -2684,7 +2698,9 @@ class Logging:
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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 == True:
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# remove messages, prompts, input, response from logging
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self.model_call_details["messages"] = "redacted-by-litellm"
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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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@ -4064,7 +4080,9 @@ def openai_token_counter(
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for c in value:
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if c["type"] == "text":
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text += c["text"]
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num_tokens += len(encoding.encode(c["text"], disallowed_special=()))
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num_tokens += len(
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encoding.encode(c["text"], disallowed_special=())
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)
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elif c["type"] == "image_url":
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if isinstance(c["image_url"], dict):
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image_url_dict = c["image_url"]
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