qi dZddlmZddlmZGddeZGddeZGdd eZGd d eZGd d eZ GddeZ GddeZ y)zMetrics data models for Pipecat framework. This module defines Pydantic models for various types of metrics data collected throughout the pipeline, including timing, token usage, and processing statistics. )Optional) BaseModelc0eZdZUdZeed<dZeeed<y) MetricsDatazBase class for all metrics data. Parameters: processor: Name of the processor generating the metrics. model: Optional model name associated with the metrics. processorNmodel)__name__ __module__ __qualname____doc__str__annotations__rrj/home/ccuser/rateright-growth/voice-assistant/venv/lib/python3.12/site-packages/pipecat/metrics/metrics.pyrrsNE8C=rrceZdZUdZeed<y)TTFBMetricsDataziTime To First Byte (TTFB) metrics data. Parameters: value: TTFB measurement in seconds. valueNr r r r floatrrrrrr LrrceZdZUdZeed<y)ProcessingMetricsDatazrGeneral processing time metrics data. Parameters: value: Processing time measurement in seconds. rNrrrrrr)rrrcleZdZUdZeed<eed<eed<dZeeed<dZeeed<dZ eeed<y) LLMTokenUsageaToken usage statistics for LLM operations. Parameters: prompt_tokens: Number of tokens in the input prompt. completion_tokens: Number of tokens in the generated completion. total_tokens: Total number of tokens used (prompt + completion). cache_read_input_tokens: Number of tokens read from cache, if applicable. cache_creation_input_tokens: Number of tokens used to create cache entries, if applicable. prompt_tokenscompletion_tokens total_tokensNcache_read_input_tokenscache_creation_input_tokensreasoning_tokens) r r r r intrrrr r!rrrrr3sH-1Xc]115#5&*hsm*rrceZdZUdZeed<y)LLMUsageMetricsDatazpLLM token usage metrics data. Parameters: value: Token usage statistics for the LLM operation. rN)r r r r rrrrrr$r$Fs rr$ceZdZUdZeed<y)TTSUsageMetricsDataznText-to-Speech usage metrics data. Parameters: value: Number of characters processed by TTS. rN)r r r r r"rrrrr&r&Ps Jrr&cDeZdZUdZeed<eed<eed<eed<eed<y)SmartTurnMetricsDataaMetrics data for smart turn predictions. Parameters: is_complete: Whether the turn is predicted to be complete. probability: Confidence probability of the turn completion prediction. inference_time_ms: Time taken for inference in milliseconds. server_total_time_ms: Total server processing time in milliseconds. e2e_processing_time_ms: End-to-end processing time in milliseconds. is_complete probabilityinference_time_msserver_total_time_mse2e_processing_time_msN)r r r r boolrrrrrr(r(Zs'!!rr(N) r typingrpydanticrrrrrr$r&r(rrrr1sf  )  kK+I+&++";"r