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Use dict spread instead of in-place mutation in _normalize_usage_cache_tokens
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Avoids mutating the caller's response_obj["usage"] dict as a side effect.
This commit is contained in:
Yuneng Jiang 2026-04-08 10:23:04 -07:00
parent 30459e949b
commit ff3b5135cb
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1 changed files with 4 additions and 4 deletions
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litellm/litellm_core_utils/litellm_logging.py
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@ -4920,13 +4920,13 @@ class StandardLoggingPayloadSetup:
cached = getattr(prompt_details, "cached_tokens", None)
creation = getattr(prompt_details, "cache_creation_tokens", None)
extra: dict = {}
if cached and not usage_dict.get("cache_read_input_tokens"):
usage_dict["cache_read_input_tokens"] = cached
extra["cache_read_input_tokens"] = cached
if creation and not usage_dict.get("cache_creation_input_tokens"):
usage_dict["cache_creation_input_tokens"] = creation
extra["cache_creation_input_tokens"] = creation
return usage_dict
return {**usage_dict, **extra} if extra else usage_dict
@staticmethod
def get_model_cost_information(