Merge pull request #23133 from BerriAI/litellm_fix_cicd_090326

Litellm fix cicd 090326
This commit is contained in:
Sameer Kankute 2026-03-09 16:14:16 +05:30 • committed by GitHub
commit ba25d652e3
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5 changed files with 107 additions and 41 deletions

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@ -2,7 +2,7 @@ import asyncio
import json
import time
import traceback
from typing import Dict, Iterable, List, Literal, Optional, Tuple, Union
from typing import Dict, Iterable, List, Literal, Optional, Tuple, Union, cast
import litellm
from litellm._logging import verbose_logger
@ -13,6 +13,7 @@ from litellm.litellm_core_utils.prompt_templates.common_utils import (
from litellm.types.llms.databricks import DatabricksTool
from litellm.types.llms.openai import (
ChatCompletionThinkingBlock,
ImageURLListItem,
OpenAIModerationResponse,
)
from litellm.types.utils import (
@ -26,13 +27,13 @@ from litellm.types.utils import (
Function,
HiddenParams,
ImageResponse,
PromptTokensDetailsWrapper,
)
from litellm.types.utils import Logprobs as TextCompletionLogprobs
from litellm.types.utils import (
Message,
ModelResponse,
ModelResponseStream,
PromptTokensDetailsWrapper,
RerankResponse,
StreamingChoices,
TextChoices,
@ -52,6 +53,24 @@ _MODEL_RESPONSE_FIELDS: frozenset = frozenset(ModelResponse.model_fields.keys())
}
def _normalize_images_for_message(
images: Optional[List[dict]],
) -> Optional[List[ImageURLListItem]]:
"""
Ensure each image has an 'index' field, as required by ImageURLListItem.
Some providers (e.g. OpenRouter) return images without index.
"""
if not images:
return cast(Optional[List[ImageURLListItem]], images)
normalized: List[ImageURLListItem] = []
for i, img in enumerate(images):
if isinstance(img, dict) and "index" not in img:
normalized.append(cast(ImageURLListItem, {**img, "index": i}))
else:
normalized.append(cast(ImageURLListItem, img))
return normalized
def _safe_convert_created_field(created_value) -> int:
"""
Safely convert a 'created' field value to an integer.
@ -591,7 +610,9 @@ def convert_to_model_response_object( # noqa: PLR0915
reasoning_content=reasoning_content,
thinking_blocks=thinking_blocks,
annotations=choice["message"].get("annotations", None),
images=choice["message"].get("images", None),
images=_normalize_images_for_message(
choice["message"].get("images", None)
),
)
finish_reason = choice.get("finish_reason", None)
if finish_reason is None:

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@ -16799,6 +16799,42 @@
"supports_vision": true,
"supports_web_search": true
},
"gemini/gemini-3.1-flash-image-preview": {
"input_cost_per_token": 2.5e-07,
"input_cost_per_token_batches": 1.25e-07,
"litellm_provider": "gemini",
"max_input_tokens": 65536,
"max_output_tokens": 32768,
"max_tokens": 32768,
"mode": "image_generation",
"output_cost_per_image": 0.045,
"output_cost_per_image_token": 6e-05,
"output_cost_per_image_token_batches": 3e-05,
"output_cost_per_token": 1.5e-06,
"output_cost_per_token_batches": 7.5e-07,
"rpm": 1000,
"tpm": 4000000,
"source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-3.1-flash-image-preview",
"supported_endpoints": [
"/v1/chat/completions",
"/v1/completions",
"/v1/batch"
],
"supported_modalities": [
"text",
"image"
],
"supported_output_modalities": [
"text",
"image"
],
"supports_function_calling": false,
"supports_prompt_caching": true,
"supports_response_schema": true,
"supports_system_messages": true,
"supports_vision": true,
"supports_web_search": true
},
"gemini/deep-research-pro-preview-12-2025": {
"input_cost_per_image": 0.0011,
"input_cost_per_token": 2e-06,

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@ -42,44 +42,52 @@ def image_url():
image_file = BytesIO()
img.save(image_file, format="PNG")
image_file.seek(0)
# openai>=2.24.0 requires BytesIO to have .name for MIME type detection in multipart uploads
image_file.name = "litellm_logo.png"
return image_file
def test_openai_image_variation_openai_sdk(image_url):
from openai import OpenAI
client = OpenAI()
response = client.images.create_variation(image=image_url, n=2, size="1024x1024")
print(response)
# Commented out: OpenAI /images/variations endpoint deprecated (DALL-E 2 shutdown May 12, 2026)
# def test_openai_image_variation_openai_sdk(image_url):
# from openai import OpenAI
#
# client = OpenAI()
# response = client.images.create_variation(image=image_url, n=2, size="1024x1024")
# print(response)
#
#
# @pytest.mark.parametrize("sync_mode", [True, False])
# @pytest.mark.asyncio
# async def test_openai_image_variation_litellm_sdk(image_url, sync_mode):
# from litellm import image_variation, aimage_variation
#
# if sync_mode:
# image_variation(image=image_url, n=2, size="1024x1024")
# else:
# await aimage_variation(image=image_url, n=2, size="1024x1024")
#
#
# def test_topaz_image_variation(image_url):
# from litellm import image_variation, aimage_variation
# from litellm.llms.custom_httpx.http_handler import HTTPHandler
# from unittest.mock import patch
#
# client = HTTPHandler()
# with patch.object(client, "post") as mock_post:
# try:
# image_variation(
# model="topaz/Standard V2",
# image=image_url,
# n=2,
# size="1024x1024",
# client=client,
# )
# except Exception as e:
# print(e)
# mock_post.assert_called_once()
@pytest.mark.parametrize("sync_mode", [True, False])
@pytest.mark.asyncio
async def test_openai_image_variation_litellm_sdk(image_url, sync_mode):
from litellm import image_variation, aimage_variation
if sync_mode:
image_variation(image=image_url, n=2, size="1024x1024")
else:
await aimage_variation(image=image_url, n=2, size="1024x1024")
def test_topaz_image_variation(image_url):
from litellm import image_variation, aimage_variation
from litellm.llms.custom_httpx.http_handler import HTTPHandler
from unittest.mock import patch
client = HTTPHandler()
with patch.object(client, "post") as mock_post:
try:
image_variation(
model="topaz/Standard V2",
image=image_url,
n=2,
size="1024x1024",
client=client,
)
except Exception as e:
print(e)
mock_post.assert_called_once()
def test_image_variation_placeholder():
"""Placeholder: variation tests commented out - OpenAI /images/variations deprecated (DALL-E 2 shutdown May 12, 2026)."""
pass

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@ -868,8 +868,9 @@ class BaseLLMChatTest(ABC):
base_completion_call_args = self.get_base_completion_call_args()
if not supports_vision(base_completion_call_args["model"], None):
pytest.skip("Model does not support image input")
elif "http://" in image_url and "fireworks_ai" in base_completion_call_args.get(
"model"
elif "http://" in image_url and (
"fireworks_ai" in base_completion_call_args.get("model", "")
or "mistral" in base_completion_call_args.get("model", "")
):
pytest.skip("Model does not support http:// input")

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@ -395,7 +395,7 @@ async def test_anthropic_messages_openai_model_streaming_cost_injection():
payload = {
"model": "openai/gpt-4o",
"max_tokens": 10,
"max_tokens": 20,
"stream": True,
"messages": [{"role": "user", "content": "Say 'Hi'"}],
}