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import os
import sys
import threading
from datetime import datetime
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system-path
import pytest
from litellm.integrations.langfuse.langfuse import (
LangFuseLogger,
)
from litellm.integrations.langfuse.langfuse_handler import LangFuseHandler
from litellm.litellm_core_utils.litellm_logging import DynamicLoggingCache
from unittest.mock import Mock, patch
from respx import MockRouter
from litellm.types.utils import (
StandardLoggingPayload,
StandardLoggingModelInformation,
StandardLoggingMetadata,
StandardLoggingHiddenParams,
StandardCallbackDynamicParams,
ModelResponse,
Choices,
Message,
TextCompletionResponse,
TextChoices,
)
def create_standard_logging_payload() -> StandardLoggingPayload:
return StandardLoggingPayload(
id="test_id",
call_type="completion",
response_cost=0.1,
response_cost_failure_debug_info=None,
status="success",
total_tokens=30,
prompt_tokens=20,
completion_tokens=10,
startTime=1234567890.0,
endTime=1234567891.0,
completionStartTime=1234567890.5,
model_map_information=StandardLoggingModelInformation(
model_map_key="gpt-3.5-turbo", model_map_value=None
),
model="gpt-3.5-turbo",
model_id="model-123",
model_group="openai-gpt",
api_base="https://api.openai.com",
metadata=StandardLoggingMetadata(
user_api_key_hash="test_hash",
user_api_key_org_id=None,
user_api_key_alias="test_alias",
user_api_key_team_id="test_team",
user_api_key_user_id="test_user",
user_api_key_team_alias="test_team_alias",
spend_logs_metadata=None,
requester_ip_address="127.0.0.1",
requester_metadata=None,
),
cache_hit=False,
cache_key=None,
saved_cache_cost=0.0,
request_tags=[],
end_user=None,
requester_ip_address="127.0.0.1",
messages=[{"role": "user", "content": "Hello, world!"}],
response={"choices": [{"message": {"content": "Hi there!"}}]},
error_str=None,
model_parameters={"stream": True},
hidden_params=StandardLoggingHiddenParams(
model_id="model-123",
cache_key=None,
api_base="https://api.openai.com",
response_cost="0.1",
additional_headers=None,
),
)
@pytest.fixture
def dynamic_logging_cache():
return DynamicLoggingCache()
global_langfuse_logger = LangFuseLogger(
langfuse_public_key="global_public_key",
langfuse_secret="global_secret",
langfuse_host="https://global.langfuse.com",
)
# IMPORTANT: Test that passing both langfuse_secret_key and langfuse_secret works
standard_params_1 = StandardCallbackDynamicParams(
langfuse_public_key="test_public_key",
langfuse_secret="test_secret",
langfuse_host="https://test.langfuse.com",
)
standard_params_2 = StandardCallbackDynamicParams(
langfuse_public_key="test_public_key",
langfuse_secret_key="test_secret",
langfuse_host="https://test.langfuse.com",
)
@pytest.mark.parametrize("globalLangfuseLogger", [None, global_langfuse_logger])
@pytest.mark.parametrize("standard_params", [standard_params_1, standard_params_2])
def test_get_langfuse_logger_for_request_with_dynamic_params(
dynamic_logging_cache, globalLangfuseLogger, standard_params
):
"""
If StandardCallbackDynamicParams contain langfuse credentials the returned Langfuse logger should use the dynamic params
the new Langfuse logger should be cached
Even if globalLangfuseLogger is provided, it should use dynamic params if they are passed
"""
result = LangFuseHandler.get_langfuse_logger_for_request(
standard_callback_dynamic_params=standard_params,
in_memory_dynamic_logger_cache=dynamic_logging_cache,
globalLangfuseLogger=globalLangfuseLogger,
)
assert isinstance(result, LangFuseLogger)
assert result.public_key == "test_public_key"
assert result.secret_key == "test_secret"
assert result.langfuse_host == "https://test.langfuse.com"
print("langfuse logger=", result)
print("vars in langfuse logger=", vars(result))
# Check if the logger is cached
cached_logger = dynamic_logging_cache.get_cache(
credentials={
"langfuse_public_key": "test_public_key",
"langfuse_secret": "test_secret",
"langfuse_host": "https://test.langfuse.com",
},
service_name="langfuse",
)
assert cached_logger is result
@pytest.mark.parametrize("globalLangfuseLogger", [None, global_langfuse_logger])
def test_get_langfuse_logger_for_request_with_no_dynamic_params(
dynamic_logging_cache, globalLangfuseLogger
):
"""
If StandardCallbackDynamicParams are not provided, the globalLangfuseLogger should be returned
"""
result = LangFuseHandler.get_langfuse_logger_for_request(
standard_callback_dynamic_params=StandardCallbackDynamicParams(),
in_memory_dynamic_logger_cache=dynamic_logging_cache,
globalLangfuseLogger=globalLangfuseLogger,
)
assert result is not None
assert isinstance(result, LangFuseLogger)
print("langfuse logger=", result)
if globalLangfuseLogger is not None:
assert result.public_key == "global_public_key"
assert result.secret_key == "global_secret"
assert result.langfuse_host == "https://global.langfuse.com"
def test_dynamic_langfuse_credentials_are_passed():
# Test when credentials are passed
params_with_credentials = StandardCallbackDynamicParams(
langfuse_public_key="test_key",
langfuse_secret="test_secret",
langfuse_host="https://test.langfuse.com",
)
assert (
LangFuseHandler._dynamic_langfuse_credentials_are_passed(
params_with_credentials
)
is True
)
# Test when no credentials are passed
params_without_credentials = StandardCallbackDynamicParams()
assert (
LangFuseHandler._dynamic_langfuse_credentials_are_passed(
params_without_credentials
)
is False
)
# Test when only some credentials are passed
params_partial_credentials = StandardCallbackDynamicParams(
langfuse_public_key="test_key"
)
assert (
LangFuseHandler._dynamic_langfuse_credentials_are_passed(
params_partial_credentials
)
is True
)
def test_get_dynamic_langfuse_logging_config():
# Test with dynamic params
dynamic_params = StandardCallbackDynamicParams(
langfuse_public_key="dynamic_key",
langfuse_secret="dynamic_secret",
langfuse_host="https://dynamic.langfuse.com",
)
config = LangFuseHandler.get_dynamic_langfuse_logging_config(dynamic_params)
assert config["langfuse_public_key"] == "dynamic_key"
assert config["langfuse_secret"] == "dynamic_secret"
assert config["langfuse_host"] == "https://dynamic.langfuse.com"
# Test with no dynamic params
empty_params = StandardCallbackDynamicParams()
config = LangFuseHandler.get_dynamic_langfuse_logging_config(empty_params)
assert config["langfuse_public_key"] is None
assert config["langfuse_secret"] is None
assert config["langfuse_host"] is None
def test_return_global_langfuse_logger():
mock_cache = Mock()
global_logger = LangFuseLogger(
langfuse_public_key="global_key", langfuse_secret="global_secret"
)
# Test with existing global logger
result = LangFuseHandler._return_global_langfuse_logger(global_logger, mock_cache)
assert result == global_logger
# Test without global logger, but with cached logger, should return cached logger
mock_cache.get_cache.return_value = global_logger
result = LangFuseHandler._return_global_langfuse_logger(None, mock_cache)
assert result == global_logger
# Test without global logger and without cached logger, should create new logger
mock_cache.get_cache.return_value = None
with patch.object(
LangFuseHandler,
"_create_langfuse_logger_from_credentials",
return_value=global_logger,
):
result = LangFuseHandler._return_global_langfuse_logger(None, mock_cache)
assert result == global_logger
def test_get_langfuse_logger_for_request_with_cached_logger():
"""
Test that get_langfuse_logger_for_request returns the cached logger if it exists when dynamic params are passed
"""
mock_cache = Mock()
cached_logger = LangFuseLogger(
langfuse_public_key="cached_key", langfuse_secret="cached_secret"
)
mock_cache.get_cache.return_value = cached_logger
dynamic_params = StandardCallbackDynamicParams(
langfuse_public_key="test_key",
langfuse_secret="test_secret",
langfuse_host="https://test.langfuse.com",
)
result = LangFuseHandler.get_langfuse_logger_for_request(
standard_callback_dynamic_params=dynamic_params,
in_memory_dynamic_logger_cache=mock_cache,
globalLangfuseLogger=None,
)
assert result == cached_logger
mock_cache.get_cache.assert_called_once()
def test_get_langfuse_tags():
"""
Test that _get_langfuse_tags correctly extracts tags from the standard logging payload
"""
# Create a mock logging payload with tags
mock_payload = create_standard_logging_payload()
mock_payload["request_tags"] = ["tag1", "tag2", "test_tag"]
# Test with payload containing tags
result = global_langfuse_logger._get_langfuse_tags(mock_payload)
assert result == ["tag1", "tag2", "test_tag"]
# Test with payload without tags
mock_payload["request_tags"] = None
result = global_langfuse_logger._get_langfuse_tags(mock_payload)
assert result == []
# Test with empty tags list
mock_payload["request_tags"] = []
result = global_langfuse_logger._get_langfuse_tags(mock_payload)
assert result == []
@patch.dict(os.environ, {}, clear=True) # Start with empty environment
def test_get_langfuse_flush_interval():
"""
Test that _get_langfuse_flush_interval correctly reads from environment variable
or falls back to the provided flush_interval
"""
default_interval = 60
# Test when env var is not set
result = LangFuseLogger._get_langfuse_flush_interval(
flush_interval=default_interval
)
assert result == default_interval
# Test when env var is set
with patch.dict(os.environ, {"LANGFUSE_FLUSH_INTERVAL": "120"}):
result = LangFuseLogger._get_langfuse_flush_interval(
flush_interval=default_interval
)
assert result == 120
def test_langfuse_e2e_sync(monkeypatch):
from litellm import completion
import litellm
import respx
import httpx
import time
litellm.disable_aiohttp_transport = True # since this uses respx, we need to set use_aiohttp_transport to False
litellm._turn_on_debug()
monkeypatch.setattr(litellm, "success_callback", ["langfuse"])
with respx.mock:
# Mock Langfuse
# Mock any Langfuse endpoint
langfuse_mock = respx.post(
"https://*.cloud.langfuse.com/api/public/ingestion"
).mock(return_value=httpx.Response(200))
completion(
model="openai/my-fake-endpoint",
messages=[{"role": "user", "content": "hello from litellm"}],
stream=False,
mock_response="Hello from litellm 2",
)
time.sleep(3)
assert langfuse_mock.called
def test_get_chat_content_for_langfuse():
"""
Test that _get_chat_content_for_langfuse correctly extracts content from chat completion responses
"""
# Test with valid response
mock_response = ModelResponse(
choices=[Choices(message=Message(role="assistant", content="Hello world"))]
)
result = LangFuseLogger._get_chat_content_for_langfuse(mock_response)
assert result["content"] == "Hello world"
assert result["role"] == "assistant"
# Test with empty choices
mock_response = ModelResponse(choices=[])
result = LangFuseLogger._get_chat_content_for_langfuse(mock_response)
assert result is None
def test_get_text_completion_content_for_langfuse():
"""
Test that _get_text_completion_content_for_langfuse correctly extracts content from text completion responses
"""
# Test with valid response
mock_response = TextCompletionResponse(choices=[TextChoices(text="Hello world")])
result = LangFuseLogger._get_text_completion_content_for_langfuse(mock_response)
assert result == "Hello world"
# Test with empty choices
mock_response = TextCompletionResponse(choices=[])
result = LangFuseLogger._get_text_completion_content_for_langfuse(mock_response)
assert result is None
# Test with no choices field
mock_response = TextCompletionResponse()
result = LangFuseLogger._get_text_completion_content_for_langfuse(mock_response)
assert result is None
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