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Reason: %szdProvided feedback score %s will not be logged because it does not follow expected format.
Reason: %szGException raised from tracked function %s.
Inputs: %s
Error message: %sz^Failed to extract token usage from presumably OpenAI LLM langchain run. The run dictionary: %sz\Failed to extract token usage from presumably Groq LLM langchain run. The run dictionary: %sz^Failed to extract token usage from presumably Google LLM langchain run. The run dictionary: %szgUnexpected exception happened when tried to create a span for function %s.
Inputs: %s
Error message: %szWUnexpected exception happened when tried to finalize span.
Output: %s
Error message: %sz`Failed to aggregate generators yielded values with provided aggregator. Values: %s, generator %sz)Failed to parse openai Stream content. %szFailed to process %s. Error: %szˆThis error may be due to incorrect configuration. For configuration help, see: https://www.comet.com/docs/opik/tracing/sdk_configurationzFailed hallucination detectionz$Failed to calculate factuality scorez*Failed to calculate answer relevance scorez$Failed to calculate moderation scorez;Failed to parse structured output compliance metric output.z(Failed to calculate context recall scorez Failed to calculate g-eval scorez+Failed to calculate context precision scorez$Failed to calculate usefulness scorez”You are attempting to log data into a nested span under the project name "{}". However, the project name "{}" from parent span will be used instead.z Can not parse empty Opik API keyz5Expected attributes not found in the Opik API key: %rz1Too many parts (%d) found in the Opik API key: %rz LLM provider rate limit error detected. We recommend reducing the amount of parallel requests by setting `task_threads` evaluation parameter to a smaller numberz‘You didn't specify argument `stream_usage=True` during LLM initialization. Token usage data is not available for .stream() or .astream() methods.N)Ú'METADATA_KEY_COLLISION_DURING_DEEPMERGEÚ INVALID_USAGE_WILL_NOT_BE_LOGGEDÚ)INVALID_FEEDBACK_SCORE_WILL_NOT_BE_LOGGEDÚ&EXCEPTION_RAISED_FROM_TRACKED_FUNCTIONÚFFAILED_TO_EXTRACT_TOKEN_USAGE_FROM_PRESUMABLY_LANGCHAIN_OPENAI_LLM_RUNÚDFAILED_TO_EXTRACT_TOKEN_USAGE_FROM_PRESUMABLY_LANGCHAIN_GROQ_LLM_RUNÚFFAILED_TO_EXTRACT_TOKEN_USAGE_FROM_PRESUMABLY_LANGCHAIN_GOOGLE_LLM_RUNÚ:UNEXPECTED_EXCEPTION_ON_SPAN_CREATION_FOR_TRACKED_FUNCTIONÚ>UNEXPECTED_EXCEPTION_ON_SPAN_FINALIZATION_FOR_TRACKED_FUNCTIONÚZFAILED_TO_AGGREGATE_GENERATORS_YIELDED_VALUES_WITH_PROVIDED_AGGREGATOR_IN_TRACKED_FUNCTIONÚ%FAILED_TO_PARSE_OPENAI_STREAM_CONTENTÚ0FAILED_TO_PROCESS_MESSAGE_IN_BACKGROUND_STREAMERÚ&MAKE_SURE_OPIK_IS_CONFIGURED_CORRECTLYÚHALLUCINATION_DETECTION_FAILEDÚFACTUALITY_SCORE_CALC_FAILEDÚ"ANSWER_RELEVANCE_SCORE_CALC_FAILEDÚMODERATION_SCORE_CALC_FAILEDÚ#STRUCTURED_OUTPUT_COMPLIANCE_FAILEDÚ CONTEXT_RECALL_SCORE_CALC_FAILEDÚGEVAL_SCORE_CALC_FAILEDÚ#CONTEXT_PRECISION_SCORE_CALC_FAILEDÚUSEFULNESS_SCORE_CALC_FAILEDÚ1NESTED_SPAN_PROJECT_NAME_MISMATCH_WARNING_MESSAGEÚPARSE_API_KEY_EMPTY_KEYÚ'PARSE_API_KEY_EMPTY_EXPECTED_ATTRIBUTESÚPARSE_API_KEY_TOO_MANY_PARTSÚ;LLM_PROVIDER_RATE_LIMIT_ERROR_DETECTED_IN_EVALUATE_FUNCTIONÚ)WARNING_TOKEN_USAGE_DATA_IS_NOT_AVAILABLE© ó    ún/Users/manta/Documents/Projects/TheRoad-I1/backend/.venv/lib/python3.12/site-packages/opik/logging_messages.pyÚ<module>r!      sð   ðð+Ð 'ð $BÐ  ð -TÐ )ð Pð 'ð JjÐ Fð HfÐ Dð JjÐ Fð >iÐ :ð B]Ð >ð ^@Ð Zà(SÐ %à3TÐ 0ð *tÐ &à!AÐ àEÐ à%QÐ "àEÐ ð Bð $ð $NÐ  à<Ð à&SÐ #àEÐ ðLð 2ð
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