Fix: response enterprise tests

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Sameer Kankute 2026-01-15 19:53:04 +05:30
parent 4bdda9cc28
commit b4ee1b2589

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@ -0,0 +1,494 @@
"""
Integration tests for responses API background cost tracking
"""
import os
import sys
from datetime import datetime
from unittest.mock import AsyncMock, MagicMock, Mock, patch
import pytest
sys.path.insert(0, os.path.abspath("../../.."))
from litellm.types.llms.openai import ResponseAPIUsage, ResponsesAPIResponse
from litellm_enterprise.proxy.common_utils.check_responses_cost import (
CheckResponsesCost,
)
class TestResponsesBackgroundCostTracking:
"""Integration tests for responses API background cost tracking"""
@pytest.fixture
def mock_managed_files_obj(self):
"""Create a mock managed files object"""
managed_files = MagicMock()
managed_files.store_unified_object_id = AsyncMock()
return managed_files
@pytest.fixture
def mock_proxy_logging_obj(self, mock_managed_files_obj):
"""Create a mock proxy logging object"""
logging_obj = MagicMock()
logging_obj.get_proxy_hook = MagicMock(return_value=mock_managed_files_obj)
return logging_obj
@pytest.fixture
def mock_llm_router(self):
"""Create a mock LLM router"""
router = MagicMock()
return router
@pytest.mark.asyncio
async def test_store_response_in_managed_objects_table(
self, mock_managed_files_obj, mock_proxy_logging_obj, mock_llm_router
):
"""Test that background responses are stored in managed objects table"""
# Create a mock response with queued status and hidden params
response = ResponsesAPIResponse(
id="resp_bGl0ZWxsbTpjdXN0b21fbGxtX3Byb3ZpZGVyOm9wZW5haTttb2RlbF9pZDpncHQtNDtsbGxfcmVzcG9uc2VfaWQ6cmVzcF8xMjM",
object="response",
status="queued",
created_at=int(datetime.now().timestamp()),
output=[],
usage=None,
)
# Add hidden params with model_id (simulating what base_process_llm_request does)
response._hidden_params = {
"model_id": "model-deployment-id-123"
}
# Mock request data
data = {
"model": "gpt-4",
"input": "Test input",
"background": True,
}
# Mock user_api_key_dict
user_api_key_dict = MagicMock()
user_api_key_dict.user_id = "test-user"
# Simulate the storage logic from endpoints.py
if data.get("background") and isinstance(response, ResponsesAPIResponse):
if response.status in ["queued", "in_progress"]:
# Get model_id from hidden params
hidden_params = getattr(response, "_hidden_params", {}) or {}
model_id = hidden_params.get("model_id", None)
if model_id:
# Store in managed objects table using response.id directly
await mock_managed_files_obj.store_unified_object_id(
unified_object_id=response.id,
file_object=response,
litellm_parent_otel_span=None,
model_object_id=response.id,
file_purpose="response",
user_api_key_dict=user_api_key_dict,
)
# Verify store_unified_object_id was called
mock_managed_files_obj.store_unified_object_id.assert_called_once()
call_args = mock_managed_files_obj.store_unified_object_id.call_args
# Verify the arguments - unified_object_id should be response.id
assert call_args[1]["unified_object_id"] == response.id
assert call_args[1]["model_object_id"] == response.id
assert call_args[1]["file_purpose"] == "response"
assert call_args[1]["user_api_key_dict"] == user_api_key_dict
@pytest.mark.asyncio
async def test_no_storage_for_non_background_requests(
self, mock_managed_files_obj, mock_proxy_logging_obj
):
"""Test that non-background requests are not stored"""
# Create a mock response
response = ResponsesAPIResponse(
id="resp_456",
object="response",
status="completed",
created_at=int(datetime.now().timestamp()),
output=[],
usage=ResponseAPIUsage(
input_tokens=100,
output_tokens=50,
total_tokens=150,
),
)
# Mock request data without background flag
data = {
"model": "gpt-4",
"input": "Test input",
"background": False,
}
# Simulate the storage logic
if data.get("background") and isinstance(response, ResponsesAPIResponse):
if response.status in ["queued", "in_progress"]:
await mock_managed_files_obj.store_unified_object_id()
# Verify store_unified_object_id was NOT called
mock_managed_files_obj.store_unified_object_id.assert_not_called()
@pytest.mark.asyncio
async def test_no_storage_for_completed_responses(
self, mock_managed_files_obj, mock_proxy_logging_obj
):
"""Test that completed responses are not stored"""
# Create a mock response with completed status
response = ResponsesAPIResponse(
id="resp_789",
object="response",
status="completed",
created_at=int(datetime.now().timestamp()),
output=[],
usage=ResponseAPIUsage(
input_tokens=100,
output_tokens=50,
total_tokens=150,
),
)
# Mock request data with background flag
data = {
"model": "gpt-4",
"input": "Test input",
"background": True,
}
# Simulate the storage logic
if data.get("background") and isinstance(response, ResponsesAPIResponse):
if response.status in ["queued", "in_progress"]:
await mock_managed_files_obj.store_unified_object_id()
# Verify store_unified_object_id was NOT called (status is completed)
mock_managed_files_obj.store_unified_object_id.assert_not_called()
@pytest.mark.asyncio
async def test_no_storage_without_model_id(
self, mock_managed_files_obj, mock_proxy_logging_obj
):
"""Test that responses without model_id in hidden params are not stored"""
# Create a mock response without hidden params
response = ResponsesAPIResponse(
id="resp_no_model",
object="response",
status="queued",
created_at=int(datetime.now().timestamp()),
output=[],
usage=None,
)
# Mock request data with background flag
data = {
"model": "gpt-4",
"input": "Test input",
"background": True,
}
user_api_key_dict = MagicMock()
# Simulate the storage logic
if data.get("background") and isinstance(response, ResponsesAPIResponse):
if response.status in ["queued", "in_progress"]:
hidden_params = getattr(response, "_hidden_params", {}) or {}
model_id = hidden_params.get("model_id", None)
if model_id: # This will be False
await mock_managed_files_obj.store_unified_object_id(
unified_object_id=response.id,
file_object=response,
litellm_parent_otel_span=None,
model_object_id=response.id,
file_purpose="response",
user_api_key_dict=user_api_key_dict,
)
# Verify store_unified_object_id was NOT called (no model_id)
mock_managed_files_obj.store_unified_object_id.assert_not_called()
@pytest.mark.asyncio
async def test_error_handling_in_storage(
self, mock_managed_files_obj, mock_proxy_logging_obj
):
"""Test that errors during storage are handled gracefully"""
# Mock store_unified_object_id to raise an exception
mock_managed_files_obj.store_unified_object_id = AsyncMock(
side_effect=Exception("Database error")
)
response = ResponsesAPIResponse(
id="resp_error",
object="response",
status="queued",
created_at=int(datetime.now().timestamp()),
output=[],
usage=None,
)
response._hidden_params = {"model_id": "test-model-id"}
data = {
"model": "gpt-4",
"input": "Test input",
"background": True,
}
user_api_key_dict = MagicMock()
user_api_key_dict.user_id = "test-user"
# Try to store - should not raise (error is caught in endpoints.py)
try:
if data.get("background") and isinstance(response, ResponsesAPIResponse):
if response.status in ["queued", "in_progress"]:
hidden_params = getattr(response, "_hidden_params", {}) or {}
model_id = hidden_params.get("model_id", None)
if model_id:
await mock_managed_files_obj.store_unified_object_id(
unified_object_id=response.id,
file_object=response,
litellm_parent_otel_span=None,
model_object_id=response.id,
file_purpose="response",
user_api_key_dict=user_api_key_dict,
)
except Exception:
# Exception should be caught and logged, not raised
pass
# Verify the method was called (even though it raised)
assert mock_managed_files_obj.store_unified_object_id.called
class TestCheckResponsesCost:
"""Tests for the CheckResponsesCost polling class"""
@pytest.fixture
def mock_prisma_client(self):
"""Create a mock Prisma client"""
client = MagicMock()
client.db = MagicMock()
client.db.litellm_managedobjecttable = MagicMock()
return client
@pytest.fixture
def mock_proxy_logging_obj(self):
"""Create a mock proxy logging object"""
return MagicMock()
@pytest.fixture
def mock_llm_router(self):
"""Create a mock LLM router"""
return MagicMock()
@pytest.mark.asyncio
async def test_check_responses_cost_initialization(
self, mock_proxy_logging_obj, mock_prisma_client, mock_llm_router
):
"""Test CheckResponsesCost initialization"""
checker = CheckResponsesCost(
proxy_logging_obj=mock_proxy_logging_obj,
prisma_client=mock_prisma_client,
llm_router=mock_llm_router,
)
assert checker.proxy_logging_obj == mock_proxy_logging_obj
assert checker.prisma_client == mock_prisma_client
assert checker.llm_router == mock_llm_router
@pytest.mark.asyncio
async def test_check_responses_cost_no_jobs(
self, mock_proxy_logging_obj, mock_prisma_client, mock_llm_router
):
"""Test polling when there are no jobs"""
# Mock find_many to return empty list
mock_prisma_client.db.litellm_managedobjecttable.find_many = AsyncMock(
return_value=[]
)
checker = CheckResponsesCost(
proxy_logging_obj=mock_proxy_logging_obj,
prisma_client=mock_prisma_client,
llm_router=mock_llm_router,
)
# Should not raise any errors
await checker.check_responses_cost()
# Verify find_many was called with correct parameters
mock_prisma_client.db.litellm_managedobjecttable.find_many.assert_called_once_with(
where={
"status": {"in": ["queued", "in_progress"]},
"file_purpose": "response",
}
)
@pytest.mark.asyncio
async def test_check_responses_cost_with_completed_job(
self, mock_proxy_logging_obj, mock_prisma_client, mock_llm_router
):
"""Test polling with a completed job"""
# Create a mock job
mock_job = MagicMock()
mock_job.id = "job-123"
mock_job.unified_object_id = "resp_test_id"
mock_job.created_by = "test-user"
# Mock find_many to return the job
mock_prisma_client.db.litellm_managedobjecttable.find_many = AsyncMock(
return_value=[mock_job]
)
# Mock update_many
mock_prisma_client.db.litellm_managedobjecttable.update_many = AsyncMock()
# Create a completed response
completed_response = ResponsesAPIResponse(
id="resp_test_id",
object="response",
status="completed",
created_at=int(datetime.now().timestamp()),
output=[],
usage=ResponseAPIUsage(
input_tokens=100,
output_tokens=50,
total_tokens=150,
),
)
checker = CheckResponsesCost(
proxy_logging_obj=mock_proxy_logging_obj,
prisma_client=mock_prisma_client,
llm_router=mock_llm_router,
)
# Mock litellm.aget_responses to return completed response
with patch("litellm.aget_responses", new_callable=AsyncMock) as mock_aget:
mock_aget.return_value = completed_response
await checker.check_responses_cost()
# Verify update_many was called to mark job as completed
mock_prisma_client.db.litellm_managedobjecttable.update_many.assert_called_once()
call_args = (
mock_prisma_client.db.litellm_managedobjecttable.update_many.call_args
)
assert call_args[1]["where"]["id"]["in"] == ["job-123"]
assert call_args[1]["data"]["status"] == "completed"
@pytest.mark.asyncio
async def test_check_responses_cost_with_failed_job(
self, mock_proxy_logging_obj, mock_prisma_client, mock_llm_router
):
"""Test polling with a failed job"""
# Create a mock job
mock_job = MagicMock()
mock_job.id = "job-456"
mock_job.unified_object_id = "resp_failed"
mock_job.created_by = "test-user"
mock_prisma_client.db.litellm_managedobjecttable.find_many = AsyncMock(
return_value=[mock_job]
)
mock_prisma_client.db.litellm_managedobjecttable.update_many = AsyncMock()
# Create a failed response
failed_response = ResponsesAPIResponse(
id="resp_failed",
object="response",
status="failed",
created_at=int(datetime.now().timestamp()),
output=[],
usage=None,
)
checker = CheckResponsesCost(
proxy_logging_obj=mock_proxy_logging_obj,
prisma_client=mock_prisma_client,
llm_router=mock_llm_router,
)
with patch("litellm.aget_responses", new_callable=AsyncMock) as mock_aget:
mock_aget.return_value = failed_response
await checker.check_responses_cost()
# Verify job was marked as completed even though it failed
mock_prisma_client.db.litellm_managedobjecttable.update_many.assert_called_once()
@pytest.mark.asyncio
async def test_check_responses_cost_with_in_progress_job(
self, mock_proxy_logging_obj, mock_prisma_client, mock_llm_router
):
"""Test polling with a job still in progress"""
# Create a mock job
mock_job = MagicMock()
mock_job.id = "job-789"
mock_job.unified_object_id = "resp_in_progress"
mock_job.created_by = "test-user"
mock_prisma_client.db.litellm_managedobjecttable.find_many = AsyncMock(
return_value=[mock_job]
)
mock_prisma_client.db.litellm_managedobjecttable.update_many = AsyncMock()
# Create an in-progress response
in_progress_response = ResponsesAPIResponse(
id="resp_in_progress",
object="response",
status="in_progress",
created_at=int(datetime.now().timestamp()),
output=[],
usage=None,
)
checker = CheckResponsesCost(
proxy_logging_obj=mock_proxy_logging_obj,
prisma_client=mock_prisma_client,
llm_router=mock_llm_router,
)
with patch("litellm.aget_responses", new_callable=AsyncMock) as mock_aget:
mock_aget.return_value = in_progress_response
await checker.check_responses_cost()
# Verify update_many was NOT called (job still in progress)
mock_prisma_client.db.litellm_managedobjecttable.update_many.assert_not_called()
@pytest.mark.asyncio
async def test_check_responses_cost_error_handling(
self, mock_proxy_logging_obj, mock_prisma_client, mock_llm_router
):
"""Test that errors when querying responses are handled gracefully"""
# Create a mock job
mock_job = MagicMock()
mock_job.id = "job-error"
mock_job.unified_object_id = "resp_error"
mock_job.created_by = "test-user"
mock_prisma_client.db.litellm_managedobjecttable.find_many = AsyncMock(
return_value=[mock_job]
)
mock_prisma_client.db.litellm_managedobjecttable.update_many = AsyncMock()
checker = CheckResponsesCost(
proxy_logging_obj=mock_proxy_logging_obj,
prisma_client=mock_prisma_client,
llm_router=mock_llm_router,
)
# Mock litellm.aget_responses to raise an exception
with patch(
"litellm.aget_responses",
new_callable=AsyncMock,
side_effect=Exception("API error"),
):
# Should not raise - errors are caught and logged
await checker.check_responses_cost()
# Verify update_many was NOT called (error occurred)
mock_prisma_client.db.litellm_managedobjecttable.update_many.assert_not_called()