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add docstrings to normalize functions

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Yamac Ay 2026-09-30 10:27:48 +02:00
parent 510c6cf962
commit ea81cc2597
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1 changed files with 8 additions and 2 deletions
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litellm/llms/sap/chat/transformation.py
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@ -413,11 +413,17 @@ class GenAIHubOrchestrationConfig(OpenAIGPTConfig):
return response
@staticmethod
def _normalize_reasoning_content(raw: dict[str, object]) -> dict[str, object]: # mutable-ok: generic types
def _normalize_reasoning_content(raw: dict[str, object]) -> dict[str, object]:
# SAP AI Core returns reasoning tokens as a list: message.reasoning_content = [{"content": ..., "signature": ...}]
# ModelResponse.reasoning_content is typed Optional[str], so map the list to
# thinking_blocks and collapse the text into a single joined string.
return normalize_reasoning_content(raw)
@staticmethod
def _normalize_choice(choice: dict[str, object]) -> dict[str, object]: # mutable-ok: generic dict from raw JSON
def _normalize_choice(choice: dict[str, object]) -> dict[str, object]:
# Normalize a single choice dict (message or delta shape) in isolation.
# Exposed as a static method so tests and callers can exercise one choice
# without constructing a full response envelope.
return _normalize_choice_fn(choice)
def _strip_markdown_json(self, response: ModelResponse) -> ModelResponse: