litellm/tests/test_litellm/proxy/image_endpoints/test_endpoints.py
mateo-berri 8b89c909a9 fix(proxy): keep a ProxyException's status and label 408s in the OpenAI error payload
error_status_code only read status_code, so a ProxyException raised
before routing (which stores its status as the string code) answered
500 with its 4xx type through the rerank, images, realtime, files, and
pass-through tails. It now falls back to a decimal code. A 408 maps to
timeout_error instead of invalid_request_error.

Tail regressions for rerank, images, realtime calls, and the chat
pass-through fail at the merge base with ('None', 'None'); the new
files-test helpers are fully typed.
2026-09-08 12:16:08 -07:00

213 lines
8 KiB
Python

import asyncio
import copy
from types import SimpleNamespace
from typing import Any, Dict
import orjson
import pytest
from fastapi import FastAPI, HTTPException
from fastapi.testclient import TestClient
from starlette.requests import Request
from starlette.responses import Response
from litellm.proxy._types import ProxyException, UserAPIKeyAuth
from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
from litellm.proxy.image_endpoints import endpoints
@pytest.mark.asyncio
async def test_image_generation_prompt_rerouting(monkeypatch):
"""Ensure image prompts are exposed to guardrails and restored afterwards."""
async def fake_add_litellm_data_to_request(**kwargs):
return kwargs["data"]
async def fake_update_request_status(**_: Any) -> None:
await asyncio.sleep(0)
proxy_logger_calls: Dict[str, Any] = {}
async def fake_pre_call_hook(*, user_api_key_dict, data, call_type): # type: ignore[override]
proxy_logger_calls["pre_call_input"] = copy.deepcopy(data)
modified = {
**data,
"messages": [
{
"role": "user",
"content": "sanitized prompt",
}
],
}
return modified
async def fake_post_call_failure_hook(**_: Any) -> None:
return None
async def fake_post_call_success_hook(*, data, user_api_key_dict, response):
return response
async def fake_post_call_response_headers_hook(**kwargs):
return {"x-callback-test": "value"}
fake_proxy_logger = SimpleNamespace(
pre_call_hook=fake_pre_call_hook,
update_request_status=fake_update_request_status,
post_call_failure_hook=fake_post_call_failure_hook,
post_call_success_hook=fake_post_call_success_hook,
post_call_response_headers_hook=fake_post_call_response_headers_hook,
)
captured_route_request_data: Dict[str, Any] = {}
async def fake_route_request(*, data, **kwargs): # type: ignore[override]
captured_route_request_data.update(data)
async def _inner():
class FakeResponse(dict):
_hidden_params = {}
return FakeResponse(result="ok")
return _inner()
scope = {
"type": "http",
"method": "POST",
"path": "/v1/images/generations",
"headers": [],
}
body = orjson.dumps({"prompt": "original prompt"})
async def receive():
return {"type": "http.request", "body": body, "more_body": False}
request = Request(scope, receive)
response = Response()
user_api_key = UserAPIKeyAuth()
monkeypatch.setattr(
"litellm.proxy.proxy_server.add_litellm_data_to_request",
fake_add_litellm_data_to_request,
)
monkeypatch.setattr("litellm.proxy.proxy_server.general_settings", {})
monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None)
monkeypatch.setattr("litellm.proxy.proxy_server.proxy_config", {})
monkeypatch.setattr(
"litellm.proxy.proxy_server.proxy_logging_obj", fake_proxy_logger
)
monkeypatch.setattr("litellm.proxy.proxy_server.user_model", None)
monkeypatch.setattr("litellm.proxy.proxy_server.version", "test-version")
monkeypatch.setattr(
"litellm.proxy.common_request_processing.ProxyBaseLLMRequestProcessing.get_custom_headers",
classmethod(lambda *args, **kwargs: {}),
)
monkeypatch.setattr(
"litellm.proxy.image_endpoints.endpoints.route_request", fake_route_request
)
result = await endpoints.image_generation(
request=request,
fastapi_response=response,
user_api_key_dict=user_api_key,
)
await asyncio.sleep(0)
assert result == {"result": "ok"}
pre_call_input = proxy_logger_calls["pre_call_input"]
assert pre_call_input["messages"][0]["content"] == "original prompt"
assert captured_route_request_data["prompt"] == "sanitized prompt"
assert "messages" not in captured_route_request_data
assert response.headers.get("x-callback-test") == "value"
def _image_edit_client(monkeypatch, captured: Dict[str, Any]) -> TestClient:
class CaptureProcessing:
def __init__(self, data: Dict[str, Any]) -> None:
captured.update(data)
async def base_process_llm_request(self, **_: Any) -> Dict[str, Any]:
return {"data": [{"b64_json": "aGk="}]}
monkeypatch.setattr(endpoints, "ProxyBaseLLMRequestProcessing", CaptureProcessing)
monkeypatch.setattr("litellm.proxy.proxy_server.general_settings", {})
monkeypatch.setattr("litellm.proxy.proxy_server.user_model", None)
app = FastAPI()
app.include_router(endpoints.router)
app.dependency_overrides[user_api_key_auth] = lambda: UserAPIKeyAuth()
return TestClient(app)
def test_image_edit_multipart_n_reaches_the_provider_as_an_int(monkeypatch):
"""A multipart `n` must not arrive as the string Starlette parsed it into."""
captured: Dict[str, Any] = {}
response = _image_edit_client(monkeypatch, captured).post(
"/v1/images/edits",
files={"image": ("tree.png", b"\x89PNG\r\n\x1a\n", "image/png")},
data={"model": "nova-canvas", "prompt": "add a hat", "n": "2", "size": "1024x1024"},
)
assert response.status_code == 200
assert captured["n"] == 2
assert isinstance(captured["n"], int)
assert captured["size"] == "1024x1024"
assert captured["prompt"] == "add a hat"
def test_image_edit_multipart_n_that_is_not_a_number_is_left_alone(monkeypatch):
"""An unparseable `n` still reaches the provider, which rejects it as before."""
captured: Dict[str, Any] = {}
response = _image_edit_client(monkeypatch, captured).post(
"/v1/images/edits",
files={"image": ("tree.png", b"\x89PNG\r\n\x1a\n", "image/png")},
data={"model": "nova-canvas", "prompt": "add a hat", "n": "two"},
)
assert response.status_code == 200
assert captured["n"] == "two"
@pytest.mark.asyncio
async def test_a_model_the_router_cannot_serve_answers_an_openai_typed_error(monkeypatch: pytest.MonkeyPatch):
"""A bare HTTPException carries no type or param, so the tail used to ship the
literal string "None" in both fields."""
async def fake_add_litellm_data_to_request(**kwargs: object) -> object:
return kwargs["data"]
async def fake_pre_call_hook(*, user_api_key_dict: UserAPIKeyAuth, data: dict[str, object], call_type: str) -> dict[str, object]:
return data
async def fake_post_call_failure_hook(**_: object) -> None:
return None
async def failing_route_request(**_: object) -> None:
raise HTTPException(
status_code=404, detail={"error": "image_generation: Invalid model name passed in model=dall-e-3"}
)
monkeypatch.setattr("litellm.proxy.proxy_server.add_litellm_data_to_request", fake_add_litellm_data_to_request)
monkeypatch.setattr("litellm.proxy.proxy_server.general_settings", {})
monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None)
monkeypatch.setattr("litellm.proxy.proxy_server.proxy_config", {})
monkeypatch.setattr(
"litellm.proxy.proxy_server.proxy_logging_obj",
SimpleNamespace(pre_call_hook=fake_pre_call_hook, post_call_failure_hook=fake_post_call_failure_hook),
)
monkeypatch.setattr("litellm.proxy.proxy_server.user_model", None)
monkeypatch.setattr("litellm.proxy.proxy_server.version", "test-version")
monkeypatch.setattr("litellm.proxy.image_endpoints.endpoints.route_request", failing_route_request)
body = orjson.dumps({"model": "dall-e-3", "prompt": "a lighthouse at dusk"})
async def receive() -> dict[str, object]:
return {"type": "http.request", "body": body, "more_body": False}
request = Request({"type": "http", "method": "POST", "path": "/v1/images/generations", "headers": []}, receive)
with pytest.raises(ProxyException) as raised:
await endpoints.image_generation(request=request, fastapi_response=Response(), user_api_key_dict=UserAPIKeyAuth())
assert (raised.value.type, raised.value.param, raised.value.code) == ("invalid_request_error", None, "404")