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litellm/tests/test_litellm/integrations/test_braintrust_logging.py
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2026-04-17 13:02:59 -07:00

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12 KiB
Python

import os
import unittest
from datetime import datetime
from unittest.mock import MagicMock, Mock, patch
import litellm
from litellm.integrations.braintrust_logging import BraintrustLogger
class TestBraintrustLogger(unittest.TestCase):
@patch.dict(os.environ, {"BRAINTRUST_API_KEY": "test-env-api-key"})
@patch.dict(os.environ, {"BRAINTRUST_API_BASE": "https://test-env-api.com/v1"})
def test_init_with_env_var(self):
"""Test BraintrustLogger initialization with environment variable."""
logger = BraintrustLogger()
self.assertEqual(logger.api_key, "test-env-api-key")
self.assertEqual(logger.api_base, "https://test-env-api.com/v1")
self.assertEqual(logger.headers["Authorization"], "Bearer test-env-api-key")
self.assertEqual(logger.headers["Content-Type"], "application/json")
def test_init_with_explicit_params(self):
"""Test BraintrustLogger initialization with explicit parameters."""
logger = BraintrustLogger(
api_key="explicit-key", api_base="https://custom-api.com/v1"
)
self.assertEqual(logger.api_key, "explicit-key")
self.assertEqual(logger.api_base, "https://custom-api.com/v1")
self.assertEqual(logger.headers["Authorization"], "Bearer explicit-key")
@patch.dict(os.environ, {}, clear=True)
def test_init_missing_api_key(self):
"""Test BraintrustLogger initialization fails without API key."""
with self.assertRaises(Exception) as context:
BraintrustLogger()
self.assertIn("Missing keys=['BRAINTRUST_API_KEY']", str(context.exception))
def test_validate_environment_with_api_key(self):
"""Test validate_environment method with valid API key."""
logger = BraintrustLogger(api_key="test-key")
# Should not raise an exception
logger.validate_environment(api_key="test-key")
def test_validate_environment_missing_api_key(self):
"""Test validate_environment method with missing API key."""
with patch.dict(os.environ, {}, clear=True):
with self.assertRaises(Exception) as context:
BraintrustLogger(api_key=None)
self.assertIn("Missing keys=['BRAINTRUST_API_KEY']", str(context.exception))
@patch("litellm.integrations.braintrust_logging.HTTPHandler")
def test_log_success_event_with_default_span_name(self, MockHTTPHandler):
"""Test log_success_event uses default span name when not provided."""
# Mock HTTP response
mock_response = Mock()
mock_response.json.return_value = {"id": "test-project-id"}
mock_http_handler = Mock()
mock_http_handler.post.return_value = mock_response
MockHTTPHandler.return_value = mock_http_handler
# Setup
logger = BraintrustLogger(api_key="test-key")
logger.default_project_id = "test-project-id"
# Create a mock response object
message_mock = Mock()
message_mock.json = Mock(return_value={"content": "test"})
choice_mock = Mock()
choice_mock.message = message_mock
choice_mock.dict = Mock(return_value={"message": {"content": "test"}})
# Mock the __getitem__ to support response_obj["choices"][0]["message"]
choice_mock.__getitem__ = Mock(return_value=message_mock)
response_obj = Mock(spec=litellm.ModelResponse)
response_obj.choices = [choice_mock]
# Mock the __getitem__ to support response_obj["choices"]
response_obj.__getitem__ = Mock(return_value=[choice_mock])
response_obj.usage = litellm.Usage(
prompt_tokens=10, completion_tokens=20, total_tokens=30
)
kwargs = {
"litellm_call_id": "test-call-id",
"messages": [{"role": "user", "content": "test"}],
"litellm_params": {"metadata": {}},
"model": "gpt-3.5-turbo",
"response_cost": 0.001,
}
# Execute
logger.log_success_event(kwargs, response_obj, datetime.now(), datetime.now())
# Verify
call_args = mock_http_handler.post.call_args
self.assertIsNotNone(call_args)
json_data = call_args.kwargs["json"]
self.assertEqual(
json_data["events"][0]["span_attributes"]["name"], "Chat Completion"
)
@patch("litellm.integrations.braintrust_logging.HTTPHandler")
def test_log_success_event_with_custom_span_name(self, MockHTTPHandler):
"""Test log_success_event uses custom span name when provided."""
# Mock HTTP response
mock_response = Mock()
mock_response.json.return_value = {"id": "test-project-id"}
mock_http_handler = Mock()
mock_http_handler.post.return_value = mock_response
MockHTTPHandler.return_value = mock_http_handler
# Setup
logger = BraintrustLogger(api_key="test-key")
logger.default_project_id = "test-project-id"
# Create a mock response object
message_mock = Mock()
message_mock.json = Mock(return_value={"content": "test"})
choice_mock = Mock()
choice_mock.message = message_mock
choice_mock.dict = Mock(return_value={"message": {"content": "test"}})
choice_mock.__getitem__ = Mock(return_value=message_mock)
response_obj = Mock(spec=litellm.ModelResponse)
response_obj.choices = [choice_mock]
response_obj.__getitem__ = Mock(return_value=[choice_mock])
response_obj.usage = litellm.Usage(
prompt_tokens=10, completion_tokens=20, total_tokens=30
)
kwargs = {
"litellm_call_id": "test-call-id",
"messages": [{"role": "user", "content": "test"}],
"litellm_params": {"metadata": {"span_name": "Custom Operation"}},
"model": "gpt-3.5-turbo",
"response_cost": 0.001,
}
# Execute
logger.log_success_event(kwargs, response_obj, datetime.now(), datetime.now())
# Verify
call_args = mock_http_handler.post.call_args
self.assertIsNotNone(call_args)
json_data = call_args.kwargs["json"]
self.assertEqual(
json_data["events"][0]["span_attributes"]["name"], "Custom Operation"
)
@patch("litellm.integrations.braintrust_logging.get_async_httpx_client")
async def test_async_log_success_event_with_default_span_name(
self, mock_get_http_handler
):
"""Test async_log_success_event uses default span name when not provided."""
# Mock async HTTP response
mock_response = Mock()
mock_response.json.return_value = {"id": "test-project-id"}
mock_http_handler = MagicMock()
mock_http_handler.post = MagicMock(return_value=mock_response)
mock_get_http_handler.return_value = mock_http_handler
# Setup
logger = BraintrustLogger(api_key="test-key")
logger.default_project_id = "test-project-id"
# Create a mock response object
message_mock = Mock()
message_mock.json = Mock(return_value={"content": "test"})
choice_mock = Mock()
choice_mock.message = message_mock
choice_mock.dict = Mock(return_value={"message": {"content": "test"}})
choice_mock.__getitem__ = Mock(return_value=message_mock)
response_obj = Mock(spec=litellm.ModelResponse)
response_obj.choices = [choice_mock]
response_obj.__getitem__ = Mock(return_value=[choice_mock])
response_obj.usage = litellm.Usage(
prompt_tokens=10, completion_tokens=20, total_tokens=30
)
kwargs = {
"litellm_call_id": "test-call-id",
"messages": [{"role": "user", "content": "test"}],
"litellm_params": {"metadata": {}},
"model": "gpt-3.5-turbo",
"response_cost": 0.001,
}
# Execute
await logger.async_log_success_event(
kwargs, response_obj, datetime.now(), datetime.now()
)
# Verify
call_args = mock_http_handler.post.call_args
self.assertIsNotNone(call_args)
json_data = call_args.kwargs["json"]
self.assertEqual(
json_data["events"][0]["span_attributes"]["name"], "Chat Completion"
)
@patch("litellm.integrations.braintrust_logging.get_async_httpx_client")
async def test_async_log_success_event_with_custom_span_name(
self, mock_get_http_handler
):
"""Test async_log_success_event uses custom span name when provided."""
# Mock async HTTP response
mock_response = Mock()
mock_response.json.return_value = {"id": "test-project-id"}
mock_http_handler = MagicMock()
mock_http_handler.post = MagicMock(return_value=mock_response)
mock_get_http_handler.return_value = mock_http_handler
# Setup
logger = BraintrustLogger(api_key="test-key")
logger.default_project_id = "test-project-id"
# Create a mock response object
message_mock = Mock()
message_mock.json = Mock(return_value={"content": "test"})
choice_mock = Mock()
choice_mock.message = message_mock
choice_mock.dict = Mock(return_value={"message": {"content": "test"}})
choice_mock.__getitem__ = Mock(return_value=message_mock)
response_obj = Mock(spec=litellm.ModelResponse)
response_obj.choices = [choice_mock]
response_obj.__getitem__ = Mock(return_value=[choice_mock])
response_obj.usage = litellm.Usage(
prompt_tokens=10, completion_tokens=20, total_tokens=30
)
kwargs = {
"litellm_call_id": "test-call-id",
"messages": [{"role": "user", "content": "test"}],
"litellm_params": {"metadata": {"span_name": "Async Custom Operation"}},
"model": "gpt-3.5-turbo",
"response_cost": 0.001,
}
# Execute
await logger.async_log_success_event(
kwargs, response_obj, datetime.now(), datetime.now()
)
# Verify
call_args = mock_http_handler.post.call_args
self.assertIsNotNone(call_args)
json_data = call_args.kwargs["json"]
self.assertEqual(
json_data["events"][0]["span_attributes"]["name"], "Async Custom Operation"
)
@patch("litellm.integrations.braintrust_logging.HTTPHandler")
def test_span_name_with_multiple_metadata_fields(self, MockHTTPHandler):
"""Test that span_name works correctly alongside other metadata fields."""
# Mock HTTP response
mock_response = Mock()
mock_response.json.return_value = {"id": "test-project-id"}
mock_http_handler = Mock()
mock_http_handler.post.return_value = mock_response
MockHTTPHandler.return_value = mock_http_handler
# Setup
logger = BraintrustLogger(api_key="test-key")
logger.default_project_id = "test-project-id"
# Create a mock response object
message_mock = Mock()
message_mock.json = Mock(return_value={"content": "test"})
choice_mock = Mock()
choice_mock.message = message_mock
choice_mock.dict = Mock(return_value={"message": {"content": "test"}})
choice_mock.__getitem__ = Mock(return_value=message_mock)
response_obj = Mock(spec=litellm.ModelResponse)
response_obj.choices = [choice_mock]
response_obj.__getitem__ = Mock(return_value=[choice_mock])
response_obj.usage = litellm.Usage(
prompt_tokens=10, completion_tokens=20, total_tokens=30
)
kwargs = {
"litellm_call_id": "test-call-id",
"messages": [{"role": "user", "content": "test"}],
"litellm_params": {
"metadata": {
"span_name": "Multi Metadata Test",
"project_id": "custom-project",
"user_id": "user123",
"session_id": "session456",
}
},
"model": "gpt-3.5-turbo",
"response_cost": 0.001,
}
# Execute
logger.log_success_event(kwargs, response_obj, datetime.now(), datetime.now())
# Verify
call_args = mock_http_handler.post.call_args
self.assertIsNotNone(call_args)
json_data = call_args.kwargs["json"]
# Check span name
self.assertEqual(
json_data["events"][0]["span_attributes"]["name"], "Multi Metadata Test"
)
# Check that other metadata is preserved
event_metadata = json_data["events"][0]["metadata"]
self.assertEqual(event_metadata["user_id"], "user123")
self.assertEqual(event_metadata["session_id"], "session456")