mirror of
https://github.com/tiennm99/litellm.git
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257 lines
10 KiB
Python
257 lines
10 KiB
Python
import os
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import sys
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from unittest.mock import MagicMock, patch
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import pytest
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sys.path.insert(0, os.path.abspath("../.."))
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from litellm.integrations.langsmith import LangsmithLogger
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class TestLangsmithLoggerInit:
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"""Test cases for LangSmith logger initialization, particularly sampling rate handling.
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These tests verify that the sampling_rate attribute is set during initialization.
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Note: The current implementation has some edge cases in the sampling rate logic.
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"""
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@patch.dict(os.environ, {"LANGSMITH_SAMPLING_RATE": "1"}, clear=False)
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def test_langsmith_sampling_rate_parameter_respected_with_valid_env(self):
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"""Test that langsmith_sampling_rate parameter is properly set when env var condition is met."""
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sampling_rate = 0.5
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logger = LangsmithLogger(
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langsmith_api_key="test-key",
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langsmith_project="test-project",
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langsmith_sampling_rate=sampling_rate,
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)
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assert (
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logger.sampling_rate == sampling_rate
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), f"Expected sampling_rate to be {sampling_rate}, got {logger.sampling_rate}"
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@patch.dict(os.environ, {"LANGSMITH_SAMPLING_RATE": "1"}, clear=False)
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def test_langsmith_sampling_rate_zero_parameter_falls_back_to_env(self):
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"""Test that 0.0 parameter falls back to env var due to falsy value."""
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logger = LangsmithLogger(
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langsmith_api_key="test-key",
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langsmith_project="test-project",
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langsmith_sampling_rate=0.0,
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)
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assert (
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logger.sampling_rate == 1.0
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), f"Expected sampling_rate to fall back to 1.0 from env, got {logger.sampling_rate}"
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@patch.dict(os.environ, {"LANGSMITH_SAMPLING_RATE": "1"}, clear=False)
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def test_langsmith_sampling_rate_from_integer_env_var(self):
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"""Test that sampling rate uses environment variable when parameter not provided and env var is integer."""
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logger = LangsmithLogger(
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langsmith_api_key="test-key", langsmith_project="test-project"
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)
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assert (
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logger.sampling_rate == 1.0
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), f"Expected sampling_rate to be 1.0 from env var, got {logger.sampling_rate}"
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@patch.dict(os.environ, {"LANGSMITH_SAMPLING_RATE": "0.8"}, clear=False)
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def test_langsmith_sampling_rate_decimal_env_var_ignored(self):
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"""Test that decimal environment variables are ignored due to isdigit() check."""
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logger = LangsmithLogger(
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langsmith_api_key="test-key", langsmith_project="test-project"
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)
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assert (
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logger.sampling_rate == 1.0
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), f"Expected sampling_rate to default to 1.0 (decimal env ignored), got {logger.sampling_rate}"
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@patch.dict(os.environ, {}, clear=True)
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def test_langsmith_sampling_rate_default_value(self):
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"""Test that sampling rate defaults to 1.0 when no parameter or env var provided."""
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logger = LangsmithLogger(
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langsmith_api_key="test-key", langsmith_project="test-project"
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)
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assert (
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logger.sampling_rate == 1.0
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), f"Expected default sampling_rate to be 1.0, got {logger.sampling_rate}"
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@patch.dict(os.environ, {"LANGSMITH_SAMPLING_RATE": "invalid"}, clear=False)
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def test_langsmith_sampling_rate_invalid_env_var_defaults(self):
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"""Test that invalid environment variable falls back to default value."""
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logger = LangsmithLogger(
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langsmith_api_key="test-key", langsmith_project="test-project"
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)
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assert (
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logger.sampling_rate == 1.0
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), f"Expected sampling_rate to default to 1.0 with invalid env var, got {logger.sampling_rate}"
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@patch.dict(os.environ, {"LANGSMITH_SAMPLING_RATE": ""}, clear=False)
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def test_langsmith_sampling_rate_empty_env_var_defaults(self):
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"""Test that empty environment variable falls back to default value."""
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logger = LangsmithLogger(
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langsmith_api_key="test-key", langsmith_project="test-project"
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)
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assert (
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logger.sampling_rate == 1.0
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), f"Expected sampling_rate to default to 1.0 with empty env var, got {logger.sampling_rate}"
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def test_langsmith_sampling_rate_attribute_exists(self):
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"""Test that the sampling_rate attribute is always set on the logger instance."""
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logger = LangsmithLogger(
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langsmith_api_key="test-key", langsmith_project="test-project"
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)
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assert hasattr(
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logger, "sampling_rate"
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), "LangsmithLogger should have sampling_rate attribute"
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assert isinstance(
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logger.sampling_rate, float
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), f"sampling_rate should be a float, got {type(logger.sampling_rate)}"
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assert (
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logger.sampling_rate >= 0.0
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), f"sampling_rate should be non-negative, got {logger.sampling_rate}"
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@patch.object(LangsmithLogger, "_start_periodic_flush_task", return_value=None)
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def test_langsmith_init_skips_periodic_flush_without_running_loop(
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self, mock_start_periodic_flush_task
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):
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"""Test that sync initialization leaves the periodic flush task unset."""
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logger = LangsmithLogger(
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langsmith_api_key="test-key", langsmith_project="test-project"
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)
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assert logger is not None
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mock_start_periodic_flush_task.assert_called_once()
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assert logger._flush_task is None
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@patch("asyncio.get_running_loop", side_effect=RuntimeError("no running event loop"))
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def test_start_periodic_flush_task_returns_none_without_running_loop(
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self, mock_get_running_loop
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):
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"""Test that helper returns None when no running event loop exists."""
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with patch.object(LangsmithLogger, "_start_periodic_flush_task", return_value=None):
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logger = LangsmithLogger(
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langsmith_api_key="test-key",
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langsmith_project="test-project",
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)
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mock_get_running_loop.reset_mock()
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assert logger._start_periodic_flush_task() is None
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mock_get_running_loop.assert_called_once()
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@patch("asyncio.get_running_loop")
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def test_langsmith_init_starts_periodic_flush_with_running_loop(
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self, mock_get_running_loop
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):
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"""Test that init schedules periodic flush when a running loop exists."""
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mock_loop = MagicMock()
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mock_task = MagicMock()
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mock_loop.create_task.return_value = mock_task
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mock_get_running_loop.return_value = mock_loop
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logger = LangsmithLogger(
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langsmith_api_key="test-key", langsmith_project="test-project"
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)
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assert logger._flush_task == mock_task
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mock_loop.create_task.assert_called_once()
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scheduled_coro = mock_loop.create_task.call_args.args[0]
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scheduled_coro.close()
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@pytest.mark.asyncio
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async def test_async_log_success_event_lazily_starts_periodic_flush(self):
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"""Test that async logging lazily starts periodic flush after sync init."""
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with patch.object(LangsmithLogger, "_start_periodic_flush_task", return_value=None):
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logger = LangsmithLogger(
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langsmith_api_key="test-key",
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langsmith_project="test-project",
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)
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logger._get_sampling_rate_to_use_for_request = MagicMock(return_value=1.0)
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logger._get_credentials_to_use_for_request = MagicMock(
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return_value=logger.default_credentials
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)
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logger._prepare_log_data = MagicMock(return_value={"id": "run-id"})
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logger._start_periodic_flush_task = MagicMock(return_value=MagicMock())
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await logger.async_log_success_event({}, {}, None, None)
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logger._start_periodic_flush_task.assert_called_once()
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assert len(logger.log_queue) == 1
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@pytest.mark.asyncio
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async def test_async_log_failure_event_lazily_starts_periodic_flush(self):
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"""Test that async failure logging lazily starts periodic flush after sync init."""
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with patch.object(LangsmithLogger, "_start_periodic_flush_task", return_value=None):
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logger = LangsmithLogger(
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langsmith_api_key="test-key",
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langsmith_project="test-project",
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)
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logger._get_sampling_rate_to_use_for_request = MagicMock(return_value=1.0)
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logger._get_credentials_to_use_for_request = MagicMock(
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return_value=logger.default_credentials
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)
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logger._prepare_log_data = MagicMock(return_value={"id": "run-id"})
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logger._start_periodic_flush_task = MagicMock(return_value=MagicMock())
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await logger.async_log_failure_event({}, {}, None, None)
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logger._start_periodic_flush_task.assert_called_once()
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assert len(logger.log_queue) == 1
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class TestLangsmithPrepareLogData:
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"""Regression test for #24001: _prepare_log_data must inject
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usage_metadata into outputs so LangSmith's Cost column is populated."""
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@patch("asyncio.create_task")
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@patch.dict(os.environ, {"LANGSMITH_SAMPLING_RATE": "1"}, clear=False)
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def test_outputs_contain_usage_metadata(self, mock_create_task):
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logger = LangsmithLogger(
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langsmith_api_key="test-key",
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langsmith_project="test-project",
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)
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payload = {
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"id": "test-id",
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"response": {"choices": [{"message": {"content": "hi"}}]},
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"metadata": {},
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"startTime": 1.0,
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"endTime": 2.0,
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"request_tags": [],
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"error_str": None,
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"status": "success",
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"response_cost": 0.0042,
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"prompt_tokens": 100,
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"completion_tokens": 50,
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"total_tokens": 150,
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}
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kwargs = {
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"litellm_params": {"metadata": {}},
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"standard_logging_object": payload,
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}
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credentials = {
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"LANGSMITH_API_KEY": "test-key",
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"LANGSMITH_PROJECT": "test-project",
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"LANGSMITH_BASE_URL": "https://api.smith.langchain.com",
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}
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data = logger._prepare_log_data(
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kwargs=kwargs,
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response_obj=None,
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start_time=1.0,
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end_time=2.0,
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credentials=credentials,
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)
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assert "usage_metadata" in data["outputs"]
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um = data["outputs"]["usage_metadata"]
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assert um["total_cost"] == 0.0042
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assert um["input_tokens"] == 100
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assert um["output_tokens"] == 50
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assert um["total_tokens"] == 150
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