ó Ð]j¤ãóZ•SSKJr SSKJr SSKJrJrJr SSSjjrg) é)Ú annotations)ÚAnyé)Ú INPUT_TOKENSÚ OUTPUT_TOKENSÚ USAGE_RAWNcóü•0n[U[5(aX&['[U[5(aX6['[ US5(aUR SS9U[ 'SSKJ nJ n UR 5n SU0n UbXZS'U"U 40U D6n U Rb<[U"U RU RRUS9R5US 'U$![a N„f=f![a U$f=f) usBuild usage attributes: INPUT_TOKENS, OUTPUT_TOKENS, USAGE_RAW, operation.cost. Callers extract input/output tokens themselves (API-surface-specific). response is the full API response object, passed to genai_prices for cost calculation (genai_prices extracts both model and usage from it). usage is the usage sub-object, used for USAGE_RAW. api_flavor is needed for OpenAI ('chat', 'responses', or 'embeddings'). Returns only attributes that have values. Token/raw-usage and cost fail independently — a cost error does not prevent tokens from being set. Cost errors are silently caught (expected for unknown models etc.). Ú model_dumpT)Ú exclude_noner)Ú calc_priceÚ extract_usageÚ provider_idÚ api_flavor)Ú model_refrzoperation.cost)Ú isinstanceÚintrrÚhasattrr rÚ ExceptionÚ genai_pricesr r ÚmodelÚfloatÚusageÚidÚ total_price) ÚresponserÚ input_tokensÚ output_tokensrrÚresultr r Ú response_dataÚextract_kwargsÚ usage_datas Úo/home/mande/repo/quber/.venv/lib/python3.13/site-packages/logfire/_internal/integrations/llm_providers/usage.pyÚget_usage_attributesr#s€ð& €Fä,¤×$Ñ$Ø+Œ|ÑÜ-¤×%Ñ%Ø -Œ}Ñð Ü 5˜,× 'Ñ 'Ø %× 0Ñ 0¸dÐ 0Ð CˆF”9Ñ ð  ß:à ×+Ñ+Ó-ˆ Ø*7¸Ð)EˆØ Ñ !Ø+5˜<Ñ (Ù" =ÑC°NÑCˆ Ø × Ñ Ñ 'Ü',Ù˜:×+Ñ+°z×7GÑ7G×7JÑ7JÐXcÑd×pÑpó(ˆFÐ#Ñ $ð €Møô% ó Ù ð ûô ó Ø à €Mð ús$¾'CÁ&A5C-à C*Ã)C*Ã- C;Ã:C;)N)rrrrrú int | Nonerr$rÚstrrz str | NoneÚreturnzdict[str, Any]) Ú __future__rÚtypingrÚsemconvrrrr#©ór"Úr,s]ðÝ"åç;Ñ;ð"ð .Øð.à ð.ðð.ðð .ð ð .ð ð .ðö.r+