qi7 dZddlmZddlmZGddeZGddeZGdd eZGd d eZGd d eZ GddeZ GddeZ GddeZ Gdde Z 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__rrI/opt/pipecat/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$ceZdZUdZeed<y)TTSUsageMetricsDataznText-to-Speech usage metrics data. Parameters: value: Number of characters processed by TTS. rN)r r r r r"rrrrr&r&Ps Jrr&ceZdZUdZeed<y)TextAggregationMetricsDataaText aggregation time metrics data. Measures the time from the first LLM token to the first complete sentence, representing the latency cost of sentence aggregation in the TTS pipeline. Parameters: value: Aggregation time in seconds. rNrrrrr(r(Zs Lrr(c0eZdZUdZeed<eed<eed<y)TurnMetricsDataaoMetrics data for turn detection predictions. Parameters: is_complete: Whether the turn is predicted to be complete. probability: Confidence probability of the turn completion prediction. e2e_processing_time_ms: End-to-end processing time in milliseconds, measured from VAD speech-to-silence transition to turn completion. is_complete probabilitye2e_processing_time_msN)r r r r boolrrrrrr*r*gs!!rr*c.eZdZUdZdZeed<dZeed<y)SmartTurnMetricsDataaJMetrics data for smart turn predictions. .. deprecated:: 0.0.104 Use :class:`TurnMetricsData` instead. This class will be removed in a future version. Parameters: inference_time_ms: Time taken for inference in milliseconds. server_total_time_ms: Total server processing time in milliseconds. ginference_time_msserver_total_time_msN)r r r r r1rrr2rrrr0r0vs #u""%%%rr0N)r typingrpydanticrrrrrr$r&r(r*r0rrrr5s~  )  kK+I+&++   "k " &? &r