diff --git a/pyproject.toml b/pyproject.toml index fc50ec5e..53568336 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,12 +21,12 @@ license = "MIT" dependencies = [ "pydantic>=2.0", "pydantic-settings>=2.0", - "pipecat-ai>=0.0.108", + "pipecat-ai>=1.0.0", "elevenlabs>=1.0.0", "openai>=2.36.0", "anthropic>=0.83.0", - "litellm==1.82.6", - "deepgram-sdk>=6.1.1,<7", + "litellm==1.85.0", + "deepgram-sdk>=7", "onnxruntime>=1.16.0", "aioboto3>=12.0.0", "google-genai>=1.69.0", diff --git a/src/eva/assistant/pipecat_server.py b/src/eva/assistant/pipecat_server.py index 6f532bd9..dc50b368 100644 --- a/src/eva/assistant/pipecat_server.py +++ b/src/eva/assistant/pipecat_server.py @@ -439,7 +439,6 @@ async def on_user_transcription(text: str, timestamp: str, turn_id: int | None) self._task = PipelineTask( pipeline, params=PipelineParams( - allow_interruptions=True, enable_metrics=True, # Enable TTFB and ProcessingMetricsData enable_usage_metrics=True, # Enable LLM/TTS usage metrics ), diff --git a/src/eva/assistant/pipeline/agent_processor.py b/src/eva/assistant/pipeline/agent_processor.py index 3cbaaea6..11a83135 100644 --- a/src/eva/assistant/pipeline/agent_processor.py +++ b/src/eva/assistant/pipeline/agent_processor.py @@ -239,18 +239,11 @@ async def _handle_response(self, message: str) -> None: LLMMessageFrame(text=message), FrameDirection.DOWNSTREAM, ) - if len(message) > 1000: - # chunk into sentences - sentences = message.split(". ") - for sentence in sentences: - await self.push_frame( - TTSSpeakFrame(text=sentence), - FrameDirection.DOWNSTREAM, - ) - else: - # Push content to TTS + # Split into chunks so TTS can start synthesizing the first chunk + # while the rest pipelines behind it + for chunk in self._chunk_text(message): await self.push_frame( - TTSSpeakFrame(text=message), + TTSSpeakFrame(text=chunk), FrameDirection.DOWNSTREAM, ) except (asyncio.CancelledError, Exception) as e: @@ -260,6 +253,24 @@ async def _handle_response(self, message: str) -> None: if isinstance(e, asyncio.CancelledError): raise + @staticmethod + def _chunk_text(text: str, first_chunk_chars: int = 100) -> list[str]: + """Split text into a small first chunk and the remainder. + + Splits at the first whitespace boundary after ``first_chunk_chars`` + characters so the TTS service can begin synthesizing sooner. Short + texts (at or below the threshold) are returned as-is. + """ + if len(text) <= first_chunk_chars: + return [text] + + # Find first whitespace at or after the threshold + split_idx = text.find(" ", first_chunk_chars) + if split_idx == -1: + return [text] + + return [text[:split_idx], text[split_idx + 1 :]] + async def stop(self): """Stop the processor and cleanup.""" logger.info("Stopping AgentProcessor...") diff --git a/src/eva/assistant/pipeline/services.py b/src/eva/assistant/pipeline/services.py index 21b7e5b0..0321b263 100644 --- a/src/eva/assistant/pipeline/services.py +++ b/src/eva/assistant/pipeline/services.py @@ -40,6 +40,8 @@ from pipecat.services.openai.tts import OpenAITTSService from pipecat.services.stt_service import STTService from pipecat.services.tts_service import TTSService +from pipecat.services.xai.stt import XAISTTService +from pipecat.services.xai.tts import XAITTSService from pipecat.transcriptions.language import Language from pipecat.utils.text.base_text_filter import BaseTextFilter from websockets.asyncio.client import connect as websocket_connect @@ -220,9 +222,22 @@ def create_stt_service( stt_service._settings.language = params.get("language") return stt_service + elif model_lower == "xai": + logger.info("Using xAI STT") + return XAISTTService( + api_key=api_key, + sample_rate=params.get("sample_rate", 16000), + encoding=params.get("encoding", "pcm"), + settings=XAISTTService.Settings( + language=language_code, + interim_results=params.get("interim_results", True), + endpointing=params.get("endpointing", 200), + ), + ) + else: raise ValueError( - f"Unknown STT model: {model}. Available: assemblyai, cartesia, cohere, deepgram, deepgram-flux, elevenlabs, nvidia, nvidia-baseten, openai" + f"Unknown STT model: {model}. Available: assemblyai, cartesia, cohere, deepgram, deepgram-flux, elevenlabs, nvidia, nvidia-baseten, openai, xai" ) @@ -290,9 +305,12 @@ def create_tts_service( logger.info(f"Using Deepgram TTS: {params['model']}") return DeepgramTTSService( api_key=api_key, - model=params["model"], - voice=params.get("voice", "aura-2-helena-en"), sample_rate=SAMPLE_RATE, + settings=DeepgramTTSService.Settings( + model=params["model"], + voice=params.get("voice", "aura-2-helena-en"), + language=language_code, + ), ) elif model_lower == "elevenlabs": @@ -383,6 +401,31 @@ def create_tts_service( voxtral_tts._settings.language = language_code return voxtral_tts + elif model_lower == "xai": + logger.info(f"Using xAI TTS: voice={params.get('voice', 'eve')}") + # Lowest-latency defaults: pcm codec, optimize_streaming_latency=2, + # text_normalization=false. Monkey-patch _build_url to inject the + # extra query params that pipecat's XAITTSService doesn't expose yet. + xai_tts = XAITTSService( + api_key=api_key, + sample_rate=params.get("sample_rate", SAMPLE_RATE), + codec=params.get("codec", "pcm"), + settings=XAITTSService.Settings( + voice=params.get("voice", "eve"), + language=language_code, + ), + ) + _orig_build_url = xai_tts._build_url + extra_strings = ( + f"&optimize_streaming_latency={params.get('optimize_streaming_latency', 2)}" + f"&text_normalization={str(params.get('text_normalization', False)).lower()}" + ) + speed = params.get("speed") + if speed is not None: + extra_strings += f"&speed={speed}" + xai_tts._build_url = lambda: _orig_build_url() + extra_strings + return xai_tts + elif model_lower == "xtts": logger.info(f"Using XTTS TTS: {params['model']}") xtts_tts = OpenAITTSService( @@ -403,7 +446,7 @@ def create_tts_service( else: raise ValueError( - f"Unknown TTS model: {model}. Available: cartesia, chatterbox, deepgram, elevenlabs, gemini, kokoro, nvidia-baseten, openai, xtts" + f"Unknown TTS model: {model}. Available: cartesia, chatterbox, deepgram, elevenlabs, gemini, kokoro, nvidia-baseten, openai, xai, xtts" ) diff --git a/src/eva/metrics/runner.py b/src/eva/metrics/runner.py index 470ec6fc..64c7aec2 100644 --- a/src/eva/metrics/runner.py +++ b/src/eva/metrics/runner.py @@ -3,6 +3,7 @@ import asyncio import inspect import json +import statistics from dataclasses import dataclass, field from pathlib import Path from typing import Any @@ -903,6 +904,44 @@ def _compute_pass_at_k_from_all_metrics( logger.info(f"pass@k computation complete for {len(results)} records") return results + def _compute_latency_summary(self) -> dict[str, Any]: + """Compute mean latency for llm, stt, and tts across all records. + + Reads each record's result.json and collects the mean_ms values + for llm_latency, stt_latency, and tts_latency, skipping nulls. + Returns a dict with the mean of mean_ms values for each latency type + that has at least one non-null entry. + """ + latency_keys = ["llm_latency", "stt_latency", "tts_latency"] + collected: dict[str, list[float]] = {k: [] for k in latency_keys} + + for _record_id, record_dir in self._discover_record_dirs(self.run_dir, self.record_ids): + result_path = record_dir / "result.json" + if not result_path.exists(): + continue + try: + result_data = json.loads(result_path.read_text()) + except Exception: + continue + for key in latency_keys: + latency = result_data.get(key) + if latency is not None and isinstance(latency, dict) and latency.get("mean_ms") is not None: + collected[key].append(latency["mean_ms"]) + + summary: dict[str, Any] = {} + for key in latency_keys: + values = collected[key] + # Strip the _latency suffix for the summary key (e.g. "llm", "stt", "tts") + short_key = key.removesuffix("_latency") + if values: + summary[short_key] = { + "mean_of_means_ms": round(statistics.mean(values), 2), + } + else: + summary[short_key] = None + + return summary + async def _save_summary( self, all_metrics: dict[str, RecordMetrics], @@ -982,6 +1021,14 @@ async def _save_summary( elif existing_summary.get("pass_at_k_config"): summary["pass_at_k_config"] = existing_summary["pass_at_k_config"] + # Add latency summary from record result.json files + try: + latency_summary = self._compute_latency_summary() + if latency_summary: + summary["latency"] = latency_summary + except Exception as e: + logger.warning(f"Failed to compute latency summary: {e}") + try: run_config = json.loads((self.run_dir / "config.json").read_text()) provenance = capture_metrics_provenance(run_metric_names, run_config=run_config) diff --git a/src/eva/orchestrator/worker.py b/src/eva/orchestrator/worker.py index 61b9db53..7cb055bc 100644 --- a/src/eva/orchestrator/worker.py +++ b/src/eva/orchestrator/worker.py @@ -364,9 +364,11 @@ async def _cleanup(self) -> None: def _calculate_stt_latency(self) -> LatencyStats | None: """Calculate STT latency statistics from pipecat_metrics.jsonl. - Accepts both Pipecat-native ProcessingMetricsData entries (written by - MetricsFileObserver) and LatencyMetric entries with stage="stt" (written - by MetricsLogWriter for non-Pipecat cascade frameworks). + Uses Pipecat-native TTFBMetricsData (time-to-first-byte) entries for + STT services, which measure how long until the first transcript is + returned after receiving audio. Also accepts LatencyMetric entries + with stage="stt" (written by MetricsLogWriter for non-Pipecat cascade + frameworks). """ metrics_path = self.output_dir / "pipecat_metrics.jsonl" if not metrics_path.exists(): @@ -379,11 +381,9 @@ def _calculate_stt_latency(self) -> LatencyStats | None: try: metric = json.loads(line) metric_type = metric.get("type") - is_stt_processing = metric_type == "ProcessingMetricsData" and "STTService" in metric.get( - "processor", "" - ) + is_stt_ttfb = metric_type == "TTFBMetricsData" and "STTService" in metric.get("processor", "") is_stt_latency = metric_type == "LatencyMetric" and metric.get("stage") == "stt" - if not (is_stt_processing or is_stt_latency): + if not (is_stt_ttfb or is_stt_latency): continue value_sec = metric.get("value") if not isinstance(value_sec, (int, float)) or not (0 < value_sec < 30): diff --git a/tests/unit/orchestrator/test_worker.py b/tests/unit/orchestrator/test_worker.py index 46441ec0..97540a82 100644 --- a/tests/unit/orchestrator/test_worker.py +++ b/tests/unit/orchestrator/test_worker.py @@ -116,7 +116,7 @@ def 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