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style: run black formatter on files failing CI lint (#24495)

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Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Aarish Alam 2026-03-24 13:09:17 +05:30 • committed by GitHub
parent f414b72ad4
commit de7763fcfc
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3 changed files with 34 additions and 32 deletions
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12
litellm/integrations/anthropic_cache_control_hook.py
View file

@ -101,9 +101,7 @@ class AnthropicCacheControlHook(CustomPromptManagement):
# Case 1: Target by role + index (e.g., index=-1 among assistant messages)
if targetted_index is not None and targetted_role is not None:
role_indices = [
i
for i, msg in enumerate(messages)
if msg.get("role") == targetted_role
i for i, msg in enumerate(messages) if msg.get("role") == targetted_role
]
if role_indices:
try:
@ -116,10 +114,10 @@ class AnthropicCacheControlHook(CustomPromptManagement):
f"Skipping cache control injection for this point."
)
else:
messages[actual_idx] = (
AnthropicCacheControlHook._safe_insert_cache_control_in_message(
messages[actual_idx], control
)
messages[
actual_idx
] = AnthropicCacheControlHook._safe_insert_cache_control_in_message(
messages[actual_idx], control
)
# Case 2: Target by index only
elif targetted_index is not None:

52
litellm/litellm_core_utils/prompt_templates/factory.py
View file

@ -1408,10 +1408,10 @@ def convert_to_gemini_tool_call_invoke(
if tool_calls is not None:
for idx, tool in enumerate(tool_calls):
if "function" in tool:
gemini_function_call: Optional[VertexFunctionCall] = (
_gemini_tool_call_invoke_helper(
function_call_params=tool["function"]
)
gemini_function_call: Optional[
VertexFunctionCall
] = _gemini_tool_call_invoke_helper(
function_call_params=tool["function"]
)
if gemini_function_call is not None:
part_dict: VertexPartType = {
@ -1555,7 +1555,9 @@ def convert_to_gemini_tool_call_result( # noqa: PLR0915
file_data = (
file_content.get("file_data", "")
if isinstance(file_content, dict)
else file_content if isinstance(file_content, str) else ""
else file_content
if isinstance(file_content, str)
else ""
)
if file_data:
@ -2059,9 +2061,9 @@ def _sanitize_empty_text_content(
if isinstance(content, str):
if not content or not content.strip():
message = cast(AllMessageValues, dict(message)) # Make a copy
message["content"] = (
"[System: Empty message content sanitised to satisfy protocol]"
)
message[
"content"
] = "[System: Empty message content sanitised to satisfy protocol]"
verbose_logger.debug(
f"_sanitize_empty_text_content: Replaced empty text content in {message.get('role')} message"
)
@ -2401,9 +2403,9 @@ def anthropic_messages_pt( # noqa: PLR0915
# Convert ChatCompletionImageUrlObject to dict if needed
image_url_value = m["image_url"]
if isinstance(image_url_value, str):
image_url_input: Union[str, dict[str, Any]] = (
image_url_value
)
image_url_input: Union[
str, dict[str, Any]
] = image_url_value
else:
# ChatCompletionImageUrlObject or dict case - convert to dict
image_url_input = {
@ -2430,9 +2432,9 @@ def anthropic_messages_pt( # noqa: PLR0915
)
if "cache_control" in _content_element:
_anthropic_content_element["cache_control"] = (
_content_element["cache_control"]
)
_anthropic_content_element[
"cache_control"
] = _content_element["cache_control"]
user_content.append(_anthropic_content_element)
elif m.get("type", "") == "text":
m = cast(ChatCompletionTextObject, m)
@ -2492,9 +2494,9 @@ def anthropic_messages_pt( # noqa: PLR0915
)
if "cache_control" in _content_element:
_anthropic_content_text_element["cache_control"] = (
_content_element["cache_control"]
)
_anthropic_content_text_element[
"cache_control"
] = _content_element["cache_control"]
user_content.append(_anthropic_content_text_element)
@ -2627,9 +2629,9 @@ def anthropic_messages_pt( # noqa: PLR0915
original_content_element=dict(assistant_content_block),
)
if "cache_control" in _content_element:
_anthropic_text_content_element["cache_control"] = (
_content_element["cache_control"]
)
_anthropic_text_content_element[
"cache_control"
] = _content_element["cache_control"]
text_element = _anthropic_text_content_element
# Interleave: each thinking block precedes its server tool group.
@ -2789,9 +2791,9 @@ def anthropic_messages_pt( # noqa: PLR0915
)
if "cache_control" in _content_element:
_anthropic_text_content_element["cache_control"] = (
_content_element["cache_control"]
)
_anthropic_text_content_element[
"cache_control"
] = _content_element["cache_control"]
assistant_content.append(_anthropic_text_content_element)
@ -5233,7 +5235,9 @@ def default_response_schema_prompt(response_schema: dict) -> str:
prompt_str = """Use this JSON schema:
```json
{}
```""".format(response_schema)
```""".format(
response_schema
)
return prompt_str

2
litellm/llms/minimax/chat/transformation.py
View file

@ -18,7 +18,7 @@ class MinimaxChatConfig(OpenAIGPTConfig):
Note: MiniMax's Claude-compatible `/anthropic/v1/messages` support is implemented
separately in `litellm/llms/minimax/messages/transformation.py`.
Supported models:
- MiniMax-M2.1
- MiniMax-M2.1-highspeed