diff --git a/.changeset/sim-metrics-count-fields.md b/.changeset/sim-metrics-count-fields.md new file mode 100644 index 000000000..5b04c421b --- /dev/null +++ b/.changeset/sim-metrics-count-fields.md @@ -0,0 +1,5 @@ +--- +"github.com/livekit/protocol": patch +--- + +agent simulation JobMetrics: add TTS.cer, add STT/TTS words/chars counts, replace `jobs_failed` with `jobs_measured` diff --git a/livekit/livekit_agent_simulation.pb.go b/livekit/livekit_agent_simulation.pb.go index af7af849c..a036492f6 100644 --- a/livekit/livekit_agent_simulation.pb.go +++ b/livekit/livekit_agent_simulation.pb.go @@ -1046,7 +1046,7 @@ type SimulationRun_RunMetrics struct { Tts *SimulationRun_JobMetrics_TTS `protobuf:"bytes,6,opt,name=tts,proto3" json:"tts,omitempty"` Conversation *SimulationRun_JobMetrics_Conversation `protobuf:"bytes,7,opt,name=conversation,proto3" json:"conversation,omitempty"` JobsTotal uint32 `protobuf:"varint,9,opt,name=jobs_total,json=jobsTotal,proto3" json:"jobs_total,omitempty"` - JobsFailed uint32 `protobuf:"varint,10,opt,name=jobs_failed,json=jobsFailed,proto3" json:"jobs_failed,omitempty"` // infra failures, excluded from aggregates + JobsMeasured uint32 `protobuf:"varint,10,opt,name=jobs_measured,json=jobsMeasured,proto3" json:"jobs_measured,omitempty"` // composites cover jobs_measured - jobs_simulator_fault JobsSimulatorFault uint32 `protobuf:"varint,11,opt,name=jobs_simulator_fault,json=jobsSimulatorFault,proto3" json:"jobs_simulator_fault,omitempty"` // spoiled by the simulator: flagged, not scored unknownFields protoimpl.UnknownFields sizeCache protoimpl.SizeCache @@ -1138,9 +1138,9 @@ func (x *SimulationRun_RunMetrics) GetJobsTotal() uint32 { return 0 } -func (x *SimulationRun_RunMetrics) GetJobsFailed() uint32 { +func (x *SimulationRun_RunMetrics) GetJobsMeasured() uint32 { if x != nil { - return x.JobsFailed + return x.JobsMeasured } return 0 } @@ -1442,7 +1442,9 @@ type SimulationRun_JobMetrics_STT struct { Wer *float32 `protobuf:"fixed32,1,opt,name=wer,proto3,oneof" json:"wer,omitempty"` // word error rate, pooled: word_errors / words Words *uint32 `protobuf:"varint,2,opt,name=words,proto3,oneof" json:"words,omitempty"` // pooling stats: run WER = sum errors / sum words WordErrors *uint32 `protobuf:"varint,3,opt,name=word_errors,json=wordErrors,proto3,oneof" json:"word_errors,omitempty"` - Cer *float32 `protobuf:"fixed32,4,opt,name=cer,proto3,oneof" json:"cer,omitempty"` // character error rate, pooled + Cer *float32 `protobuf:"fixed32,4,opt,name=cer,proto3,oneof" json:"cer,omitempty"` // character error rate, pooled + Chars *uint32 `protobuf:"varint,9,opt,name=chars,proto3,oneof" json:"chars,omitempty"` + CharErrors *uint32 `protobuf:"varint,10,opt,name=char_errors,json=charErrors,proto3,oneof" json:"char_errors,omitempty"` KeytermRecall *float32 `protobuf:"fixed32,5,opt,name=keyterm_recall,json=keytermRecall,proto3,oneof" json:"keyterm_recall,omitempty"` // recall of uttered key entities (names, IDs, amounts) KeytermsUttered *uint32 `protobuf:"varint,6,opt,name=keyterms_uttered,json=keytermsUttered,proto3,oneof" json:"keyterms_uttered,omitempty"` KeytermsRecognized *uint32 `protobuf:"varint,7,opt,name=keyterms_recognized,json=keytermsRecognized,proto3,oneof" json:"keyterms_recognized,omitempty"` @@ -1509,6 +1511,20 @@ func (x *SimulationRun_JobMetrics_STT) GetCer() float32 { return 0 } +func (x *SimulationRun_JobMetrics_STT) GetChars() uint32 { + if x != nil && x.Chars != nil { + return *x.Chars + } + return 0 +} + +func (x *SimulationRun_JobMetrics_STT) GetCharErrors() uint32 { + if x != nil && x.CharErrors != nil { + return *x.CharErrors + } + return 0 +} + func (x *SimulationRun_JobMetrics_STT) GetKeytermRecall() float32 { if x != nil && x.KeytermRecall != nil { return *x.KeytermRecall @@ -1612,8 +1628,13 @@ type SimulationRun_JobMetrics_TTS struct { // bytes before actual speech, so byte-level TTFB alone over-promises; // it is kept below for disambiguation. TtfaMs *uint32 `protobuf:"varint,1,opt,name=ttfa_ms,json=ttfaMs,proto3,oneof" json:"ttfa_ms,omitempty"` - TtfbMs *uint32 `protobuf:"varint,2,opt,name=ttfb_ms,json=ttfbMs,proto3,oneof" json:"ttfb_ms,omitempty"` // provider byte-level TTFB, agent-reported - Wer *float32 `protobuf:"fixed32,3,opt,name=wer,proto3,oneof" json:"wer,omitempty"` // intelligibility: intended text vs a transcription of the output audio + TtfbMs *uint32 `protobuf:"varint,2,opt,name=ttfb_ms,json=ttfbMs,proto3,oneof" json:"ttfb_ms,omitempty"` // provider byte-level TTFB, agent-reported + Wer *float32 `protobuf:"fixed32,3,opt,name=wer,proto3,oneof" json:"wer,omitempty"` // word error rate, pooled: word_errors / words + Words *uint32 `protobuf:"varint,7,opt,name=words,proto3,oneof" json:"words,omitempty"` + WordErrors *uint32 `protobuf:"varint,8,opt,name=word_errors,json=wordErrors,proto3,oneof" json:"word_errors,omitempty"` + Cer *float32 `protobuf:"fixed32,9,opt,name=cer,proto3,oneof" json:"cer,omitempty"` // character error rate, pooled + Chars *uint32 `protobuf:"varint,10,opt,name=chars,proto3,oneof" json:"chars,omitempty"` + CharErrors *uint32 `protobuf:"varint,11,opt,name=char_errors,json=charErrors,proto3,oneof" json:"char_errors,omitempty"` SpeechRateWpm *float32 `protobuf:"fixed32,4,opt,name=speech_rate_wpm,json=speechRateWpm,proto3,oneof" json:"speech_rate_wpm,omitempty"` // speaking rate; conversational English ~110-150 NaturalnessScore *float32 `protobuf:"fixed32,5,opt,name=naturalness_score,json=naturalnessScore,proto3,oneof" json:"naturalness_score,omitempty"` // judged 0-1: prosody / expressiveness EnunciationScore *float32 `protobuf:"fixed32,6,opt,name=enunciation_score,json=enunciationScore,proto3,oneof" json:"enunciation_score,omitempty"` // judged 0-1: key entities audibly intact @@ -1672,6 +1693,41 @@ func (x *SimulationRun_JobMetrics_TTS) GetWer() float32 { return 0 } +func (x *SimulationRun_JobMetrics_TTS) GetWords() uint32 { + if x != nil && x.Words != nil { + return *x.Words + } + return 0 +} + +func (x *SimulationRun_JobMetrics_TTS) GetWordErrors() uint32 { + if x != nil && x.WordErrors != nil { + return *x.WordErrors + } + return 0 +} + +func (x *SimulationRun_JobMetrics_TTS) GetCer() float32 { + if x != nil && x.Cer != nil { + return *x.Cer + } + return 0 +} + +func (x *SimulationRun_JobMetrics_TTS) GetChars() uint32 { + if x != nil && x.Chars != nil { + return *x.Chars + } + return 0 +} + +func (x *SimulationRun_JobMetrics_TTS) GetCharErrors() uint32 { + if x != nil && x.CharErrors != nil { + return *x.CharErrors + } + return 0 +} + func (x *SimulationRun_JobMetrics_TTS) GetSpeechRateWpm() float32 { if x != nil && x.SpeechRateWpm != nil { return *x.SpeechRateWpm @@ -2767,7 +2823,7 @@ const file_livekit_agent_simulation_proto_rawDesc = "" + "\n" + "suggestion\x18\x02 \x01(\tR\n" + "suggestion\x12\x14\n" + - "\x05label\x18\x03 \x01(\tR\x05label\"\xdd<\n" + + "\x05label\x18\x03 \x01(\tR\x05label\"\x91?\n" + "\rSimulationRun\x12\x0e\n" + "\x02id\x18\x01 \x01(\tR\x02id\x12\x1d\n" + "\n" + @@ -2817,7 +2873,7 @@ const file_livekit_agent_simulation_proto_rawDesc = "" + "\x10STATUS_COMPLETED\x10\x02\x12\x11\n" + "\rSTATUS_FAILED\x10\x03\x12\x14\n" + "\x10STATUS_CANCELLED\x10\x04J\x04\b\t\x10\n" + - "\x1a\x99 \n" + + "\x1a\xc9\"\n" + "\n" + "JobMetrics\x12*\n" + "\x0eaccuracy_score\x18\x01 \x01(\x02H\x00R\raccuracyScore\x88\x01\x01\x12.\n" + @@ -2834,21 +2890,27 @@ const file_livekit_agent_simulation_proto_rawDesc = "" + "judgeModel\x12*\n" + "\x11audio_judge_model\x18\v \x01(\tR\x0faudioJudgeModel\x12,\n" + "\x12has_remote_session\x18\f \x01(\bR\x10hasRemoteSession\x12*\n" + - "\x02t0\x18\r \x01(\v2\x1a.google.protobuf.TimestampR\x02t0\x1a\xcc\x03\n" + + "\x02t0\x18\r \x01(\v2\x1a.google.protobuf.TimestampR\x02t0\x1a\xa7\x04\n" + "\x03STT\x12\x15\n" + "\x03wer\x18\x01 \x01(\x02H\x00R\x03wer\x88\x01\x01\x12\x19\n" + "\x05words\x18\x02 \x01(\rH\x01R\x05words\x88\x01\x01\x12$\n" + "\vword_errors\x18\x03 \x01(\rH\x02R\n" + "wordErrors\x88\x01\x01\x12\x15\n" + - "\x03cer\x18\x04 \x01(\x02H\x03R\x03cer\x88\x01\x01\x12*\n" + - "\x0ekeyterm_recall\x18\x05 \x01(\x02H\x04R\rkeytermRecall\x88\x01\x01\x12.\n" + - "\x10keyterms_uttered\x18\x06 \x01(\rH\x05R\x0fkeytermsUttered\x88\x01\x01\x124\n" + - "\x13keyterms_recognized\x18\a \x01(\rH\x06R\x12keytermsRecognized\x88\x01\x01\x12=\n" + - "\x18transcription_latency_ms\x18\b \x01(\rH\aR\x16transcriptionLatencyMs\x88\x01\x01B\x06\n" + + "\x03cer\x18\x04 \x01(\x02H\x03R\x03cer\x88\x01\x01\x12\x19\n" + + "\x05chars\x18\t \x01(\rH\x04R\x05chars\x88\x01\x01\x12$\n" + + "\vchar_errors\x18\n" + + " \x01(\rH\x05R\n" + + "charErrors\x88\x01\x01\x12*\n" + + "\x0ekeyterm_recall\x18\x05 \x01(\x02H\x06R\rkeytermRecall\x88\x01\x01\x12.\n" + + "\x10keyterms_uttered\x18\x06 \x01(\rH\aR\x0fkeytermsUttered\x88\x01\x01\x124\n" + + "\x13keyterms_recognized\x18\a \x01(\rH\bR\x12keytermsRecognized\x88\x01\x01\x12=\n" + + "\x18transcription_latency_ms\x18\b \x01(\rH\tR\x16transcriptionLatencyMs\x88\x01\x01B\x06\n" + "\x04_werB\b\n" + "\x06_wordsB\x0e\n" + "\f_word_errorsB\x06\n" + - "\x04_cerB\x11\n" + + "\x04_cerB\b\n" + + "\x06_charsB\x0e\n" + + "\f_char_errorsB\x11\n" + "\x0f_keyterm_recallB\x13\n" + "\x11_keyterms_utteredB\x16\n" + "\x14_keyterms_recognizedB\x1b\n" + @@ -2863,19 +2925,33 @@ const file_livekit_agent_simulation_proto_rawDesc = "" + "\n" + "\b_ttfs_msB\x14\n" + "\x12_tokens_per_secondB\x14\n" + - "\x12_conciseness_score\x1a\xc9\x02\n" + + "\x12_conciseness_score\x1a\x9e\x04\n" + "\x03TTS\x12\x1c\n" + "\attfa_ms\x18\x01 \x01(\rH\x00R\x06ttfaMs\x88\x01\x01\x12\x1c\n" + "\attfb_ms\x18\x02 \x01(\rH\x01R\x06ttfbMs\x88\x01\x01\x12\x15\n" + - "\x03wer\x18\x03 \x01(\x02H\x02R\x03wer\x88\x01\x01\x12+\n" + - "\x0fspeech_rate_wpm\x18\x04 \x01(\x02H\x03R\rspeechRateWpm\x88\x01\x01\x120\n" + - "\x11naturalness_score\x18\x05 \x01(\x02H\x04R\x10naturalnessScore\x88\x01\x01\x120\n" + - "\x11enunciation_score\x18\x06 \x01(\x02H\x05R\x10enunciationScore\x88\x01\x01B\n" + + "\x03wer\x18\x03 \x01(\x02H\x02R\x03wer\x88\x01\x01\x12\x19\n" + + "\x05words\x18\a \x01(\rH\x03R\x05words\x88\x01\x01\x12$\n" + + "\vword_errors\x18\b \x01(\rH\x04R\n" + + "wordErrors\x88\x01\x01\x12\x15\n" + + "\x03cer\x18\t \x01(\x02H\x05R\x03cer\x88\x01\x01\x12\x19\n" + + "\x05chars\x18\n" + + " \x01(\rH\x06R\x05chars\x88\x01\x01\x12$\n" + + "\vchar_errors\x18\v \x01(\rH\aR\n" + + "charErrors\x88\x01\x01\x12+\n" + + "\x0fspeech_rate_wpm\x18\x04 \x01(\x02H\bR\rspeechRateWpm\x88\x01\x01\x120\n" + + "\x11naturalness_score\x18\x05 \x01(\x02H\tR\x10naturalnessScore\x88\x01\x01\x120\n" + + "\x11enunciation_score\x18\x06 \x01(\x02H\n" + + "R\x10enunciationScore\x88\x01\x01B\n" + "\n" + "\b_ttfa_msB\n" + "\n" + "\b_ttfb_msB\x06\n" + - "\x04_werB\x12\n" + + "\x04_werB\b\n" + + "\x06_wordsB\x0e\n" + + "\f_word_errorsB\x06\n" + + "\x04_cerB\b\n" + + "\x06_charsB\x0e\n" + + "\f_char_errorsB\x12\n" + "\x10_speech_rate_wpmB\x14\n" + "\x12_naturalness_scoreB\x14\n" + "\x12_enunciation_score\x1a\x86\n" + @@ -2950,7 +3026,7 @@ const file_livekit_agent_simulation_proto_rawDesc = "" + "\x12_enunciation_scoreB\x11\n" + "\x0f_accuracy_scoreB\x13\n" + "\x11_experience_scoreB\x12\n" + - "\x10_task_completion\x1a\xcb\x04\n" + + "\x10_task_completion\x1a\xcf\x04\n" + "\n" + "RunMetrics\x12*\n" + "\x0eaccuracy_score\x18\x01 \x01(\x02H\x00R\raccuracyScore\x88\x01\x01\x12.\n" + @@ -2961,10 +3037,9 @@ const file_livekit_agent_simulation_proto_rawDesc = "" + "\x03tts\x18\x06 \x01(\v2%.livekit.SimulationRun.JobMetrics.TTSR\x03tts\x12R\n" + "\fconversation\x18\a \x01(\v2..livekit.SimulationRun.JobMetrics.ConversationR\fconversation\x12\x1d\n" + "\n" + - "jobs_total\x18\t \x01(\rR\tjobsTotal\x12\x1f\n" + - "\vjobs_failed\x18\n" + - " \x01(\rR\n" + - "jobsFailed\x120\n" + + "jobs_total\x18\t \x01(\rR\tjobsTotal\x12#\n" + + "\rjobs_measured\x18\n" + + " \x01(\rR\fjobsMeasured\x120\n" + "\x14jobs_simulator_fault\x18\v \x01(\rR\x12jobsSimulatorFaultB\x11\n" + "\x0f_accuracy_scoreB\x13\n" + "\x11_experience_scoreB\x15\n" + diff --git a/livekit/livekit_agent_simulation.twirp.go b/livekit/livekit_agent_simulation.twirp.go index 364665b48..7d1fca026 100644 --- a/livekit/livekit_agent_simulation.twirp.go +++ b/livekit/livekit_agent_simulation.twirp.go @@ -1912,217 +1912,221 @@ func (s *agentSimulationServer) PathPrefix() string { } var twirpFileDescriptor9 = []byte{ - // 3380 bytes of a gzipped FileDescriptorProto - 0x1f, 0x8b, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0xff, 0xec, 0x5a, 0x4d, 0x6c, 0x1b, 0x49, - 0x76, 0x36, 0x7f, 0x45, 0x3e, 0x8a, 0x3f, 0x2a, 0xc9, 0x32, 0xdd, 0xb3, 0x9e, 0xb1, 0x3d, 0x33, - 0x3b, 0x86, 0x3d, 0x23, 0x3b, 0x9a, 0x75, 0x66, 0xe5, 0x99, 0x01, 0x22, 0x4a, 0xb4, 0x49, 0x47, - 0x92, 0x95, 0x22, 0x85, 0xcd, 0x4e, 0x10, 0x34, 0x9a, 0xdd, 0x65, 0xaa, 0xe5, 0x66, 0x37, 0xd3, - 0x55, 0x2d, 0x59, 0x0b, 0xe4, 0x1a, 0x2c, 0x90, 0x53, 0x6e, 0xc9, 0x25, 0xc8, 0x65, 0x0e, 0xc9, - 0x35, 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(names, IDs, amounts) optional uint32 keyterms_uttered = 6; optional uint32 keyterms_recognized = 7; @@ -131,7 +133,12 @@ message SimulationRun { // it is kept below for disambiguation. optional uint32 ttfa_ms = 1; optional uint32 ttfb_ms = 2; // provider byte-level TTFB, agent-reported - optional float wer = 3; // intelligibility: intended text vs a transcription of the output audio + optional float wer = 3; // word error rate, pooled: word_errors / words + optional uint32 words = 7; + optional uint32 word_errors = 8; + optional float cer = 9; // character error rate, pooled + optional uint32 chars = 10; + optional uint32 char_errors = 11; optional float speech_rate_wpm = 4; // speaking rate; conversational English ~110-150 optional float naturalness_score = 5; // judged 0-1: prosody / expressiveness optional float enunciation_score = 6; // judged 0-1: key entities audibly intact @@ -198,7 +205,7 @@ message SimulationRun { JobMetrics.Conversation conversation = 7; uint32 jobs_total = 9; - uint32 jobs_failed = 10; // infra failures, excluded from aggregates + uint32 jobs_measured = 10; // composites cover jobs_measured - jobs_simulator_fault uint32 jobs_simulator_fault = 11; // spoiled by the simulator: flagged, not scored }