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fix(health): accept image_edit mode on /health/test_connection

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mateo-berri 2026-08-26 11:18:50 -07:00
parent 5c8852c0d6
commit 8ff832901b
4 changed files with 41 additions and 1 deletions
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1
litellm/proxy/health_endpoints/_health_endpoints.py
View file

@ -1796,6 +1796,7 @@ async def test_model_connection(
"audio_speech",
"audio_transcription",
"image_generation",
"image_edit",
"video_generation",
"batch",
"rerank",

38
tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py
View file

@ -6,11 +6,14 @@ from unittest.mock import AsyncMock, MagicMock, patch
import httpx
import pytest
import respx
from fastapi import FastAPI
from fastapi.testclient import TestClient
from prisma.errors import ClientNotConnectedError, HTTPClientClosedError, PrismaError
import litellm
import litellm.proxy.health_endpoints._health_endpoints as _health_endpoints_module
from litellm.litellm_core_utils.health_check_helpers import TEST_IMAGE_BASE64
from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth
from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
@ -2674,3 +2677,38 @@ class TestNoRedisWarning:
):
details = await _health_endpoints_module._get_health_readiness_details()
assert details["show_no_redis_warning"] is False
def test_test_model_connection_accepts_image_edit_mode(monkeypatch):
"""
Regression: /health/test_connection rejected mode=image_edit with a 422
before image_edit was added to its mode Literal, breaking the UI Test
Connection button for image edit deployments.
"""
monkeypatch.setattr(litellm, "disable_aiohttp_transport", True)
litellm.in_memory_llm_clients_cache.flush_cache()
app = FastAPI()
app.include_router(_health_endpoints_module.router)
app.dependency_overrides[user_api_key_auth] = lambda: UserAPIKeyAuth(
user_role=LitellmUserRoles.PROXY_ADMIN
)
client = TestClient(app)
with (
patch("litellm.proxy.proxy_server.prisma_client", MagicMock()), # test-quality-ok: the endpoint reads the proxy-global DB client and 500s when it is None; it has no injection seam
respx.mock(assert_all_called=True) as respx_mock,
):
respx_mock.post(host="api.openai.com", path="/v1/images/edits").respond(
json={"created": 1700000000, "data": [{"b64_json": TEST_IMAGE_BASE64}]}
)
response = client.post(
"/health/test_connection",
json={
"mode": "image_edit",
"litellm_params": {"model": "openai/gpt-image-2", "api_key": "sk-test"},
},
)
assert response.status_code == 200, response.text
assert response.json()["status"] == "success"

1
ui/litellm-dashboard/src/components/add_model/add_model_modes.tsx
View file

@ -6,6 +6,7 @@ export const TEST_MODES = [
{ value: "audio_speech", label: "Audio Speech - /audio/speech" },
{ value: "audio_transcription", label: "Audio Transcription - /audio/transcriptions" },
{ value: "image_generation", label: "Image Generation - /images/generations" },
{ value: "image_edit", label: "Image Edit - /images/edits" },
{ value: "video_generation", label: "Video Generation - /videos" },
{ value: "rerank", label: "Rerank - /rerank" },
{ value: "realtime", label: "Realtime - /realtime" },

2
ui/litellm-dashboard/src/lib/http/schema.d.ts generated vendored
View file

@ -22703,7 +22703,7 @@ export interface components {
* Mode
* @description The mode to test the model with. If not provided, auto-detected from model capabilities.
*/
mode?: ("chat" | "completion" | "embedding" | "audio_speech" | "audio_transcription" | "image_generation" | "video_generation" | "batch" | "rerank" | "realtime" | "responses" | "ocr") | null;
mode?: ("chat" | "completion" | "embedding" | "audio_speech" | "audio_transcription" | "image_generation" | "image_edit" | "video_generation" | "batch" | "rerank" | "realtime" | "responses" | "ocr") | null;
/**
* Model Info
* @description Model info for the health check