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litellm/tests/test_litellm/proxy/test_route_llm_request.py
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import os
import sys
import pytest
sys.path.insert(
0, os.path.abspath("../../..")
) # Adds the parent directory to the system path
from unittest.mock import MagicMock
from litellm.proxy.route_llm_request import route_request
@pytest.mark.parametrize(
"route_type",
[
"atext_completion",
"acompletion",
"aembedding",
"aimage_generation",
"aspeech",
"atranscription",
"amoderation",
"arerank",
],
)
@pytest.mark.asyncio
async def test_route_request_dynamic_credentials(route_type):
data = {
"model": "openai/gpt-4o-mini-2024-07-18",
"api_key": "my-bad-key",
"api_base": "https://api.openai.com/v1 ",
}
llm_router = MagicMock()
# Ensure that the dynamic method exists on the llm_router mock.
getattr(llm_router, route_type).return_value = "fake_response"
response = await route_request(data, llm_router, None, route_type)
# Optionally verify the response if needed:
assert response == "fake_response"
# Now assert that the dynamic method was called once with the expected kwargs.
getattr(llm_router, route_type).assert_called_once_with(**data)
@pytest.mark.asyncio
async def test_route_request_no_model_required():
"""Test route types that don't require model parameter"""
test_cases = [
"amoderation",
"aget_responses",
"adelete_responses",
"avector_store_create",
"avector_store_search",
]
for route_type in test_cases:
# Test data without model parameter
data = {"input": "test input", "api_key": "test-key"}
llm_router = MagicMock()
getattr(llm_router, route_type).return_value = "fake_response"
response = await route_request(data, llm_router, None, route_type)
# Verify response
assert response == "fake_response"
# Verify the method was called with correct parameters
getattr(llm_router, route_type).assert_called_once_with(**data)
# Reset mock for next iteration
llm_router.reset_mock()
@pytest.mark.asyncio
async def test_route_request_no_model_required_with_router_settings():
"""Test route types that don't require model parameter with router settings"""
test_cases = [
"amoderation",
"aget_responses",
"adelete_responses",
"avector_store_create",
"avector_store_search",
]
for route_type in test_cases:
# Test data with model parameter (it will be ignored for these route types)
data = {
"input": "test input",
"model": "test-model", # Include dummy model to avoid KeyError
}
llm_router = MagicMock()
# Set up router settings
llm_router.router_general_settings.pass_through_all_models = False
llm_router.default_deployment = None
llm_router.pattern_router.patterns = []
llm_router.model_names = [] # Empty model names list
llm_router.get_model_ids.return_value = [] # Empty model IDs
llm_router.model_group_alias = None # No model group alias
# Mock the async route call
getattr(llm_router, route_type).return_value = "fake_response"
# Run the request
response = await route_request(data, llm_router, None, route_type)
# Assert the mocked method was called with expected input
assert response == "fake_response"
getattr(llm_router, route_type).assert_called_once_with(**data)
# Reset the mock for the next route
llm_router.reset_mock()
@pytest.mark.asyncio
async def test_route_request_no_model_required_with_router_settings_and_no_router():
"""Test route types that don't require model parameter with router settings and no router"""
from unittest.mock import patch
import litellm
from litellm.proxy.route_llm_request import route_request
data = {
"model": "my-model-id",
"api_key": "my-api-key",
"messages": [{"role": "user", "content": "what llm are you"}],
}
with patch.object(
litellm, "acompletion", return_value="fake_response"
) as mock_completion:
await route_request(data, None, "gpt-3.5-turbo", "acompletion")
mock_completion.assert_called_once_with(**data)
@pytest.mark.asyncio
async def test_route_request_with_invalid_router_params():
"""
Test that route_request filters out invalid Router init params from 'user_config'.
This covers the fix for https://github.com/BerriAI/litellm/issues/19693
"""
import litellm
from litellm.router import Router
from unittest.mock import AsyncMock
# Mock data with user_config containing invalid keys (simulating DB entry)
data = {
"model": "gpt-3.5-turbo",
"user_config": {
"model_list": [
{
"model_name": "gpt-3.5-turbo",
"litellm_params": {"model": "gpt-3.5-turbo", "api_key": "test"},
}
],
"model_alias_map": {"alias": "real_model"}, # INVALID PARAM
"invalid_garbage_key": "crash_me", # INVALID PARAM
},
}
# We expect Router(**config) to succeed because of the filtering.
# If filtering fails, this will raise TypeError and fail the test.
try:
# route_request calls getattr(user_router, route_type)(**data)
# We'll mock the internal call to avoid making real network requests
with pytest.MonkeyPatch.context() as m:
# Mock the method that gets called on the router instance
# We don't easily have access to the instance created INSIDE existing route_request
# So we will wrap litellm.Router to spy on it or verify it doesn't crash
original_router_init = litellm.Router.__init__
def safe_router_init(self, **kwargs):
# Verify that invalid keys are NOT present in kwargs
assert "model_alias_map" not in kwargs
assert "invalid_garbage_key" not in kwargs
# Call original init (which would raise TypeError if invalid keys were present)
original_router_init(self, **kwargs)
m.setattr(litellm.Router, "__init__", safe_router_init)
# Use 'acompletion' as the route_type
# We also need to mock the completion method to avoid real calls
m.setattr(Router, "acompletion", AsyncMock(return_value="success"))
response = await route_request(data, None, None, "acompletion")
assert response == "success"
except TypeError as e:
pytest.fail(
f"route_request raised TypeError, implying invalid params were passed to Router: {e}"
)
except Exception:
# Other exceptions might happen (e.g. valid config issues) but we care about TypeError here
pass