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crewAI/lib
Lucas Gomide d09e3f4544 feat: flatten LiteLLM cache/reasoning usage sub-counts in _usage_to_dict (#6033)
LiteLLM returns provider usage as-is, nesting cache-read / cache-creation /
reasoning counts under provider-specific shapes (e.g.
prompt_tokens_details.cached_tokens, Anthropic-style cache_read_input_tokens).
Surface them as flat cached_prompt_tokens / reasoning_tokens /
cache_creation_tokens keys so the span pipeline can read them; prompt /
completion / total token counts are left untouched.
2026-06-03 15:13:30 -04:00
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