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Litellm dev 04 05 2025 p2 (#9774)

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* test: move test to just checking async

* fix(transformation.py): handle function call with no schema

* fix(utils.py): handle pydantic base model in message tool calls

Fix https://github.com/BerriAI/litellm/issues/9321

* fix(vertex_and_google_ai_studio.py): handle tools=[]

Fixes https://github.com/BerriAI/litellm/issues/9080

* test: remove max token restriction

* test: fix basic test

* fix(get_supported_openai_params.py): fix check

* fix(converse_transformation.py): support fake streaming for meta.llama3-3-70b-instruct-v1:0

* fix: fix test

* fix: parse out empty dictionary on dbrx streaming + tool calls

* fix(handle-'strict'-param-when-calling-fireworks-ai): fireworks ai does not support 'strict' param

* fix: fix ruff check

'

* fix: handle no strict in function

* fix: revert bedrock change - handle in separate PR
This commit is contained in:
Krish Dholakia 2025-04-07 21:02:52 -07:00 • committed by GitHub
parent d8f47fc9e5
commit fcf17d114f
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10 changed files with 214 additions and 11 deletions
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19
litellm/utils.py
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@ -6112,6 +6112,8 @@ def validate_and_fix_openai_messages(messages: List):
for message in messages:
if not message.get("role"):
message["role"] = "assistant"
if message.get("tool_calls"):
message["tool_calls"] = jsonify_tools(tools=message["tool_calls"])
return validate_chat_completion_messages(messages=messages)
@ -6705,3 +6707,20 @@ def return_raw_request(endpoint: CallTypes, kwargs: dict) -> RawRequestTypedDict
return RawRequestTypedDict(
error=received_exception,
)
def jsonify_tools(tools: List[Any]) -> List[Dict]:
"""
Fixes https://github.com/BerriAI/litellm/issues/9321
Where user passes in a pydantic base model
"""
new_tools: List[Dict] = []
for tool in tools:
if isinstance(tool, BaseModel):
tool = tool.model_dump(exclude_none=True)
elif isinstance(tool, dict):
tool = tool.copy()
if isinstance(tool, dict):
new_tools.append(tool)
return new_tools