mirror of
https://github.com/tiennm99/litellm.git
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33f301ec86
* fix(redact_messages.py): fix redact messages for non-model response input to be dictionary fixes issue with otel logging when message redaction is enabled * fix(proxy_server.py): fix langfuse key leak in exception string * test: fix test * test: fix test * test: fix tests
121 lines
4.1 KiB
Python
121 lines
4.1 KiB
Python
import io
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import os
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import sys
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from typing import Optional
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sys.path.insert(0, os.path.abspath("../.."))
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import asyncio
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import gzip
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import json
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import logging
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import time
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from unittest.mock import AsyncMock, patch
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import pytest
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import litellm
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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.types.utils import StandardLoggingPayload
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class TestCustomLogger(CustomLogger):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self.logged_standard_logging_payload: Optional[StandardLoggingPayload] = None
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async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
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standard_logging_payload = kwargs.get("standard_logging_object", None)
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self.logged_standard_logging_payload = standard_logging_payload
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@pytest.mark.asyncio
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async def test_global_redaction_on():
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litellm.turn_off_message_logging = True
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test_custom_logger = TestCustomLogger()
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litellm.callbacks = [test_custom_logger]
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response = await litellm.acompletion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "hi"}],
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mock_response="hello",
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)
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await asyncio.sleep(1)
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standard_logging_payload = test_custom_logger.logged_standard_logging_payload
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assert standard_logging_payload is not None
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assert standard_logging_payload["response"] == {"text": "redacted-by-litellm"}
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assert standard_logging_payload["messages"][0]["content"] == "redacted-by-litellm"
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print(
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"logged standard logging payload",
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json.dumps(standard_logging_payload, indent=2),
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)
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@pytest.mark.parametrize("turn_off_message_logging", [True, False])
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@pytest.mark.asyncio
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async def test_global_redaction_with_dynamic_params(turn_off_message_logging):
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litellm.turn_off_message_logging = True
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test_custom_logger = TestCustomLogger()
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litellm.callbacks = [test_custom_logger]
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response = await litellm.acompletion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "hi"}],
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turn_off_message_logging=turn_off_message_logging,
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mock_response="hello",
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)
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await asyncio.sleep(1)
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standard_logging_payload = test_custom_logger.logged_standard_logging_payload
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assert standard_logging_payload is not None
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print(
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"logged standard logging payload",
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json.dumps(standard_logging_payload, indent=2),
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)
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if turn_off_message_logging is True:
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assert standard_logging_payload["response"] == {"text": "redacted-by-litellm"}
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assert (
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standard_logging_payload["messages"][0]["content"] == "redacted-by-litellm"
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)
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else:
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assert (
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standard_logging_payload["response"]["choices"][0]["message"]["content"]
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== "hello"
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)
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assert standard_logging_payload["messages"][0]["content"] == "hi"
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@pytest.mark.parametrize("turn_off_message_logging", [True, False])
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@pytest.mark.asyncio
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async def test_global_redaction_off_with_dynamic_params(turn_off_message_logging):
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litellm.turn_off_message_logging = False
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test_custom_logger = TestCustomLogger()
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litellm.callbacks = [test_custom_logger]
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response = await litellm.acompletion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "hi"}],
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turn_off_message_logging=turn_off_message_logging,
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mock_response="hello",
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)
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await asyncio.sleep(1)
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standard_logging_payload = test_custom_logger.logged_standard_logging_payload
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assert standard_logging_payload is not None
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print(
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"logged standard logging payload",
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json.dumps(standard_logging_payload, indent=2),
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)
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if turn_off_message_logging is True:
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assert standard_logging_payload["response"] == {"text": "redacted-by-litellm"}
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assert (
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standard_logging_payload["messages"][0]["content"] == "redacted-by-litellm"
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)
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else:
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assert (
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standard_logging_payload["response"]["choices"][0]["message"]["content"]
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== "hello"
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)
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assert standard_logging_payload["messages"][0]["content"] == "hi"
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