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refactor(caching): split Responses text-field collection to stay within complexity budget

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Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
This commit is contained in:
kerry 2026-09-30 17:21:59 +00:00
parent 8bf443997b
commit 516586008c
1 changed files with 12 additions and 10 deletions
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22
litellm/caching/redis_semantic_cache.py
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@ -297,16 +297,7 @@ class RedisSemanticCache(BaseCache):
cls._collect_responses_input_text(content, prompt_parts)
return
for text_key in ("text", "output", "input_text", "output_text"):
text_value = value.get(text_key)
if isinstance(text_value, (list, tuple)):
cls._collect_responses_input_text(text_value, prompt_parts)
return
if isinstance(text_value, str):
stripped_text = text_value.strip()
if stripped_text:
prompt_parts.append(stripped_text)
return
cls._collect_responses_text_fields(value, prompt_parts)
return
content = getattr(value, "content", None)
@ -322,6 +313,17 @@ class RedisSemanticCache(BaseCache):
prompt_parts.append(stripped_text)
return
@classmethod
def _collect_responses_text_fields(cls, value: dict, prompt_parts: list[str]) -> None:
for text_key in ("text", "output", "input_text", "output_text"):
text_value = value.get(text_key)
if isinstance(text_value, (list, tuple)):
cls._collect_responses_input_text(text_value, prompt_parts)
return
if isinstance(text_value, str) and (stripped_text := text_value.strip()):
prompt_parts.append(stripped_text)
return
@staticmethod
def _function_call_as_prompt(value: object) -> object:
if isinstance(value, dict) and value.get("type") == "function_call":