diff --git a/pyproject.toml b/pyproject.toml index 75a7d6b5..cfc6c920 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,16 +21,15 @@ license = "MIT" dependencies = [ "pydantic>=2.0", "pydantic-settings>=2.0", - "pipecat-ai==0.0.104", + "pipecat-ai>=0.0.108", "elevenlabs>=1.0.0", "openai>=1.0.0", "anthropic>=0.83.0", "litellm>=1.30.0", - "deepgram-sdk>=3.5.0,<4.0.0", + "deepgram-sdk>=6.1.1,<7", "onnxruntime>=1.16.0", "aioboto3>=12.0.0", - "google-generativeai>=0.3.0", - "google-genai>=0.3.0", + "google-genai>=1.69.0", "google-cloud-speech>=2.0.0", "google-cloud-texttospeech>=2.0.0", "azure-cognitiveservices-speech>=1.31.0", @@ -54,7 +53,6 @@ dependencies = [ "jaconv>=0.3.0", "regex>=2023.0.0", "more-itertools>=10.0.0", - "nvidia-riva-client>=2.25.0,<2.25.1" ] [project.optional-dependencies] @@ -73,6 +71,7 @@ apps = [ "streamlit-diff-viewer>=0.0.2", ] + [project.scripts] eva = "eva.cli:main" diff --git a/src/eva/__init__.py b/src/eva/__init__.py index d6c87018..6796f4aa 100644 --- a/src/eva/__init__.py +++ b/src/eva/__init__.py @@ -3,11 +3,11 @@ End-to-end evaluation framework for voice assistants using Pipecat and ElevenLabs. """ -__version__ = "0.1.0" +__version__ = "0.1.2" # Bump simulation_version when changes affect benchmark outputs (agent code, # user simulator, orchestrator, simulation prompts, agent configs, tool mocks). -simulation_version = "0.1.0" +simulation_version = "0.1.2" # Bump metrics_version when changes affect metric computation (metrics code, # judge prompts, pricing tables, postprocessor). diff --git a/src/eva/assistant/agentic/audit_log.py b/src/eva/assistant/agentic/audit_log.py index b9536da2..9dfe4a1d 100644 --- a/src/eva/assistant/agentic/audit_log.py +++ b/src/eva/assistant/agentic/audit_log.py @@ -2,6 +2,7 @@ import json import time +from datetime import datetime from enum import StrEnum from pathlib import Path from typing import Any, Optional @@ -18,6 +19,19 @@ def current_timestamp_ms() -> str: return str(int(round(time.time() * 1000))) +def convert_to_epoch_ms(timestamp: str) -> str: + """Convert a timestamp to epoch milliseconds string. + + If the timestamp is already in epoch milliseconds format (all digits), + return it as-is. Otherwise, parse as ISO 8601 and convert. + """ + if timestamp.isdigit(): + return timestamp + + dt = datetime.fromisoformat(timestamp) + return str(int(dt.timestamp() * 1000)) + + class MessageRole(StrEnum): """Message roles in a conversation.""" diff --git a/src/eva/assistant/pipeline/nvidia_baseten.py b/src/eva/assistant/pipeline/nvidia_baseten.py index ed791d56..3a38e23b 100644 --- a/src/eva/assistant/pipeline/nvidia_baseten.py +++ b/src/eva/assistant/pipeline/nvidia_baseten.py @@ -1,10 +1,29 @@ -import riva.client +from __future__ import annotations + from pipecat.frames.frames import CancelFrame, EndFrame -from pipecat.services.nvidia.stt import NvidiaSTTService -from pipecat.services.nvidia.tts import NvidiaTTSService from eva.utils.logging import get_logger +try: + import riva.client as riva_client # type: ignore[import-untyped] + from pipecat.services.nvidia.stt import NvidiaSTTService + from pipecat.services.nvidia.tts import NvidiaTTSService + + _NVIDIA_AVAILABLE = True +except ImportError: + riva_client = None # type: ignore[assignment] + _NVIDIA_AVAILABLE = False + NvidiaSTTService = object # type: ignore[misc] + NvidiaTTSService = object # type: ignore[misc] + + +def _check_nvidia_available(): + if not _NVIDIA_AVAILABLE: + raise ImportError( + "nvidia-riva-client is required for Baseten services. Install it with: pip install nvidia-riva-client" + ) + + logger = get_logger(__name__) @@ -26,6 +45,7 @@ class BasetenSTTService(NvidiaSTTService): """NvidiaSTTService that authenticates against a Baseten-hosted Riva deployment.""" def __init__(self, *, api_key: str, base_url: str, **kwargs): + _check_nvidia_available() # Extract "model-{id}" from "model-{id}.grpc.api.baseten.co:443" model_id_header = base_url.split(".")[0] super().__init__( @@ -42,8 +62,8 @@ def _initialize_client(self): ("baseten-authorization", f"Api-Key {self._api_key}"), ("baseten-model-id", self._function_id), ] - self._auth = riva.client.Auth(None, self._use_ssl, self._server, metadata) - self._asr_service = riva.client.ASRService(self._auth) + self._auth = riva_client.Auth(None, self._use_ssl, self._server, metadata) + self._asr_service = riva_client.ASRService(self._auth) def _cleanup(self): _close_grpc_channel(self._auth, "STT") @@ -65,6 +85,7 @@ class BasetenTTSService(NvidiaTTSService): """NvidiaTTSService that authenticates against a Baseten-hosted Riva deployment.""" def __init__(self, *, api_key: str, base_url: str, **kwargs): + _check_nvidia_available() # Extract "model-{id}" from "model-{id}.grpc.api.baseten.co:443" model_id_header = base_url.split(".")[0] super().__init__( @@ -83,8 +104,8 @@ def _initialize_client(self): ("baseten-authorization", f"Api-Key {self._api_key}"), ("baseten-model-id", self._function_id), ] - self._auth = riva.client.Auth(None, self._use_ssl, self._server, metadata) - self._service = riva.client.SpeechSynthesisService(self._auth) + self._auth = riva_client.Auth(None, self._use_ssl, self._server, metadata) + self._service = riva_client.SpeechSynthesisService(self._auth) def _cleanup(self): _close_grpc_channel(self._auth, "TTS") diff --git a/src/eva/assistant/pipeline/observers.py b/src/eva/assistant/pipeline/observers.py index a3755d48..084b267d 100644 --- a/src/eva/assistant/pipeline/observers.py +++ b/src/eva/assistant/pipeline/observers.py @@ -21,6 +21,7 @@ from pipecat.observers.base_observer import BaseObserver, FramePushed from pipecat.observers.turn_tracking_observer import TurnTrackingObserver from pipecat.services.azure.realtime.llm import AzureRealtimeLLMService +from pipecat.services.google.gemini_live.llm import GeminiLiveLLMService from pipecat.services.llm_service import LLMService from pipecat.services.openai.realtime.llm import OpenAIRealtimeLLMService from pipecat.services.stt_service import STTService @@ -32,7 +33,7 @@ logger = get_logger(__name__) -_TRANSCRIPTION_SERVICES = (STTService, AzureRealtimeLLMService, OpenAIRealtimeLLMService) +_TRANSCRIPTION_SERVICES = (STTService, AzureRealtimeLLMService, OpenAIRealtimeLLMService, GeminiLiveLLMService) class WallClock(SystemClock): diff --git a/src/eva/assistant/pipeline/services.py b/src/eva/assistant/pipeline/services.py index 1b735824..7464bf7e 100644 --- a/src/eva/assistant/pipeline/services.py +++ b/src/eva/assistant/pipeline/services.py @@ -6,7 +6,6 @@ import datetime from typing import Any, AsyncGenerator, Optional -from deepgram import LiveOptions from openai import AsyncAzureOpenAI, BadRequestError from pipecat.frames.frames import ( ErrorFrame, @@ -51,11 +50,14 @@ # Conditional Gemini imports - may fail if google-genai package version is incompatible try: + from pipecat.services.google.gemini_live.llm import GeminiLiveLLMService, GeminiVADParams from pipecat.services.google.tts import GeminiTTSService GEMINI_AVAILABLE = True except ImportError: # Gemini services unavailable - will fail at runtime if requested + GeminiLiveLLMService = None + GeminiVADParams = None GeminiTTSService = None GEMINI_AVAILABLE = False from pipecat.adapters.schemas.function_schema import FunctionSchema @@ -146,11 +148,9 @@ def create_stt_service( logger.info(f"Using Deepgram STT: {params['model']}") return DeepgramSTTService( api_key=api_key, - live_options=LiveOptions( + settings=DeepgramSTTService.Settings( language=language_code, model=params["model"], - encoding="linear16", - sample_rate=SAMPLE_RATE, interim_results=True, ), sample_rate=SAMPLE_RATE, @@ -465,8 +465,29 @@ def create_realtime_llm_service( one_shot_selected_tools=pipecat_tools, ) + elif model_lower == "gemini-live": + if not GEMINI_AVAILABLE: + raise ValueError( + "Gemini Live requested but Gemini services are unavailable. " + "Check google-genai package installation and version compatibility." + ) + + gemini_model = params.get("model") + logger.info(f"Using Gemini Live LLM: {gemini_model}") + + return GeminiLiveLLMService( + api_key=params["api_key"], + tools=pipecat_tools, + settings=GeminiLiveLLMService.Settings( + model=gemini_model, + system_instruction=system_prompt, + voice=params.get("voice", "Puck"), # Aoede, Charon, Fenrir, Kore, Puck + vad=GeminiVADParams(disabled=params.get("vad_disabled", True)), + ), + ) + else: - raise ValueError(f"Unknown realtime model: {model}. Available: gpt-realtime, ultravox") + raise ValueError(f"Unknown realtime model: {model}. Available: gpt-realtime, ultravox, gemini-live") def get_openai_session_properties(system_prompt: str, params: dict, pipecat_tools) -> SessionProperties: diff --git a/src/eva/assistant/server.py b/src/eva/assistant/server.py index 4282e894..345eb799 100644 --- a/src/eva/assistant/server.py +++ b/src/eva/assistant/server.py @@ -45,7 +45,7 @@ from pipecat.turns.user_turn_strategies import ExternalUserTurnStrategies, UserTurnStrategies from pipecat.utils.time import time_now_iso8601 -from eva.assistant.agentic.audit_log import AuditLog, current_timestamp_ms +from eva.assistant.agentic.audit_log import AuditLog, convert_to_epoch_ms, current_timestamp_ms from eva.assistant.pipeline.agent_processor import BenchmarkAgentProcessor, UserAudioCollector, UserObserver from eva.assistant.pipeline.audio_llm_processor import ( AudioLLMProcessor, @@ -734,6 +734,9 @@ async def on_user_turn_stopped(aggregator, strategy, message: UserTurnStoppedMes timestamp_ms=self._user_turn_started_wall_ms, ) self._user_turn_started_wall_ms = None + await self._save_transcript_message_from_turn( + role="user", content=message.content, timestamp=self._user_turn_started_wall_ms + ) @user_aggregator.event_handler("on_user_turn_started") async def on_user_turn_started(aggregator, strategy): @@ -754,9 +757,12 @@ async def on_assistant_turn_stopped(aggregator, message: AssistantTurnStoppedMes # Prefer content from the aggregator (populated when output_modalities includes # "text"). content = message.content - self.audit_log.append_assistant_output(content or "[audio response - transcription unavailable]") + self.audit_log.append_assistant_output( + content or "[audio response - transcription unavailable]", + timestamp_ms=convert_to_epoch_ms(message.timestamp), + ) await self._save_transcript_message_from_turn( - role="assistant", content=content, timestamp=message.timestamp + role="assistant", content=content, timestamp=convert_to_epoch_ms(message.timestamp) ) async def _save_transcript_message_from_turn(self, role: str, content: str, timestamp: str) -> None: diff --git a/tests/unit/assistant/test_audit_log.py b/tests/unit/assistant/test_audit_log.py index 7d2101d0..6a1e850d 100644 --- a/tests/unit/assistant/test_audit_log.py +++ b/tests/unit/assistant/test_audit_log.py @@ -7,6 +7,7 @@ ConversationMessage, LLMCall, MessageRole, + convert_to_epoch_ms, current_timestamp_ms, ) @@ -23,6 +24,17 @@ def test_returns_millisecond_epoch(self): assert ts > 1_000_000_000_000 +class TestConvertToEpochMs: + def test_returns_string(self): + result = convert_to_epoch_ms("2024-01-01T00:00:00Z") + assert isinstance(result, str) + assert result == "1704067200000" + + def test_returns_millisecond_epoch(self): + result = convert_to_epoch_ms("1774987946485") + assert result == "1774987946485" + + class TestConversationMessage: def test_to_dict_excludes_none_fields(self): msg = ConversationMessage(role=MessageRole.USER, content="hello") diff --git a/uv.lock b/uv.lock index 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