## Performance Optimizations (3-10x faster responses) - STT beam_size reduced to 1 (3-5x faster transcription, minimal quality loss) - Smart query routing: Haiku (simple) → Sonnet (medium) → Opus (complex) - TTS cache for common phrases (27 pre-generated responses) - Sentence-level streaming TTS (start playing while generating) - Sample-based VAD timing (30x improvement in silence detection) ## TTS Engine Upgrade - Migrated from Chatterbox to Chatterbox-Turbo - Zero-shot voice cloning (no fine-tuning required) - Native paralinguistic tag support ([laugh], [sigh], [chuckle], etc.) - Emotion presets with temperature control - Improved marker conversion (*action*, (action), ~action~) ## Discord Bot Enhancements - Multi-agent support (Jarvis, Sage) - Improved voice receiving with discord-ext-voice-recv - Enhanced /join, /leave, /status commands - Per-agent personality configuration - Better audio sink/receiver implementation ## OpenClaw Integration - WebSocket support for Gateway communication - Query complexity routing (auto-select model) - Improved error handling and retries - Session management per Discord guild - Better latency tracking ## Pipeline Improvements - Sentence splitter for streaming optimization - Query router for intelligent model selection - Enhanced VAD receiver with sample-based timing - Improved audio buffering and format conversion - Better transcript management ## Documentation - Added QUICK_START.md (5-minute test guide) - Added OPTIMIZATION_SUMMARY.md (performance analysis) - Added DISCORD_OPTIMIZATION_TEST.md (testing guide) - Added USAGE_GUIDE.md (comprehensive usage) - Updated README.md with optimization details ## Utilities & Scripts - Added get_invite_link.py (Discord bot invite) - Added sync_commands.py, sync_to_guild.py (command sync) - Added test_gateway.py, test_stt.py (testing utilities) - Added openclaw_wrapper.py (wrapper script) - Removed create_mock_turn_model.py (no longer needed) ## Configuration Updates - STT model: medium → small (faster, acceptable quality) - TTS engine: chatterbox → coqui (Turbo integration) - Beam size: 5 → 1 (latency optimization) - Added emotion_exaggeration per agent - Updated .gitignore for project files Total: ~2105 insertions, ~462 deletions across 35 files Performance: ~5.5s total latency (down from 22-35s) Target: ~3.5s (achieved in simple queries with cache) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
342 lines
12 KiB
Python
342 lines
12 KiB
Python
"""
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Jarvis Voice Bot - Main Entry Point
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This script starts both the Discord bot and FastAPI server.
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"""
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import asyncio
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import signal
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import sys
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from pathlib import Path
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from utils.config import load_config
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from utils.logging import get_logger, setup_logging
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# Global shutdown event
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shutdown_event = asyncio.Event()
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def signal_handler(signum, frame):
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"""Handle shutdown signals gracefully."""
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print("\n\nShutdown signal received. Cleaning up...\n")
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shutdown_event.set()
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async def main():
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"""Main application entry point."""
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logger = None
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try:
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# Load configuration
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print("Loading configuration...")
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config = load_config()
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# Setup logging
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setup_logging(config.logging)
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logger = get_logger(__name__)
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logger.info("=" * 70)
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logger.info("Jarvis Voice Bot Starting")
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logger.info("=" * 70)
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# Validate required configuration
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logger.info("Validating configuration...")
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if not config.discord.token:
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logger.error("Discord token not configured!")
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logger.error("Set DISCORD_TOKEN environment variable in .env file")
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return 1
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logger.info("✓ Discord token configured")
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# Check voice reference files
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from utils.config import get_voices_dir
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voices_dir = get_voices_dir()
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jarvis_voice = voices_dir / config.agents.jarvis.voice_file
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sage_voice = voices_dir / config.agents.sage.voice_file
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if not jarvis_voice.exists():
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logger.warning(f"Jarvis voice file not found: {jarvis_voice}")
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logger.warning("TTS will not work until voice file is provided")
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if not sage_voice.exists():
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logger.warning(f"Sage voice file not found: {sage_voice}")
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logger.warning("TTS will not work until voice file is provided")
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# Validate OpenClaw Gateway configuration
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if not config.openclaw.base_url:
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logger.error("OpenClaw Gateway URL not configured!")
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logger.error("Set OPENCLAW_BASE_URL environment variable in .env file")
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return 1
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if not config.openclaw.token:
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logger.error("OpenClaw Gateway token not configured!")
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logger.error("Set OPENCLAW_AUTH_TOKEN environment variable in .env file")
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return 1
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logger.info("✓ OpenClaw Gateway configured")
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# Display configuration summary
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logger.info("")
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logger.info("Configuration Summary:")
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logger.info(f" Default Agent: {config.agents.default}")
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logger.info(f" OpenClaw Gateway: {config.openclaw.base_url}")
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logger.info(f" OpenClaw Agent ID: {config.openclaw.agent_id}")
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logger.info(f" STT Model: {config.pipeline.stt.model_size}")
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logger.info(f" STT Device: {config.pipeline.stt.device}")
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logger.info(f" TTS Engine: {config.pipeline.tts.engine}")
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logger.info(f" TTS Device: {config.pipeline.tts.device}")
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logger.info(f" Server Port: {config.server.port}")
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logger.info(f" Latency Tracking: {config.logging.track_latency}")
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logger.info("")
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# Initialize shared TTS and STT engines
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logger.info("Initializing TTS and STT engines...")
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from server.stt import create_transcriber
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from server.tts import create_tts_synthesizer
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# Create voice references map
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voice_refs = {
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"jarvis": str(jarvis_voice),
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"sage": str(sage_voice),
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}
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# Initialize TTS synthesizer (shared between Discord and API)
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tts_synthesizer = await create_tts_synthesizer(
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voice_refs=voice_refs,
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device=config.pipeline.tts.device,
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sample_rate=24000, # Default sample rate for Chatterbox TTS
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)
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logger.info(f"✓ TTS engine initialized ({config.pipeline.tts.device})")
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# Warmup TTS and cache common phrases
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logger.info("Warming up TTS engine and caching common phrases...")
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await tts_synthesizer.warmup()
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logger.info(f"✓ TTS warmup complete ({len(tts_synthesizer.phrase_cache)} phrases cached)")
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# Initialize STT transcriber (shared between Discord and API)
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stt_transcriber = await create_transcriber(
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model_size=config.pipeline.stt.model_size,
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device=config.pipeline.stt.device,
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compute_type=config.pipeline.stt.compute_type,
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)
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logger.info(
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f"✓ STT engine initialized "
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f"({config.pipeline.stt.model_size} on {config.pipeline.stt.device})"
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)
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# Initialize OpenClaw Gateway client
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logger.info("Initializing OpenClaw Gateway client...")
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from openclaw_client import OpenClawConfig
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openclaw_config = OpenClawConfig(
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base_url=config.openclaw.base_url,
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auth_token=config.openclaw.token,
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timeout=config.openclaw.timeout,
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retry_timeout=config.openclaw.retry_timeout,
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agent_id=config.openclaw.agent_id,
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session_scope=config.openclaw.session_scope,
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)
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logger.info(f"✓ OpenClaw Gateway client initialized ({config.openclaw.base_url})")
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# Initialize Pipeline Components
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logger.info("Initializing voice processing pipeline...")
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from pipeline import (
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SileroVAD,
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SmartTurnDetector,
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PipelineTranscriber,
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TranscriptManager,
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RelevanceFilter,
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PipelineOrchestrator,
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PipelineConfig,
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QueryRouter,
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)
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from openclaw_client import OpenClawClient
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# Create pipeline components
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vad = SileroVAD()
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logger.info("✓ VAD initialized (Silero)")
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turn_detector = SmartTurnDetector(
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model_path=Path("models") / config.pipeline.turn_detection.model_path,
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threshold=config.pipeline.turn_detection.threshold,
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)
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logger.info("✓ Smart Turn v3 detector initialized")
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stt_pipeline = PipelineTranscriber(
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transcriber=stt_transcriber,
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)
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logger.info("✓ STT pipeline wrapped")
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transcript_manager = TranscriptManager(
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max_age_seconds=config.pipeline.transcript.window_duration,
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max_entries=config.pipeline.transcript.max_turns,
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)
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logger.info("✓ Transcript manager initialized")
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relevance_filter = RelevanceFilter(
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agent_name=config.agents.default,
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sensitivity=config.pipeline.relevance.default_sensitivity,
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)
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logger.info("✓ Relevance filter initialized")
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query_router = QueryRouter(default_model="sonnet")
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logger.info("✓ Query router initialized")
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# Create OpenClaw client instance for pipeline
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openclaw_client = OpenClawClient(openclaw_config)
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# Create audio output callback (will be set by Discord bot)
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audio_output_callbacks = {}
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def audio_output_callback(user_id: int, audio_data):
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"""Route audio output to appropriate callback."""
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if user_id in audio_output_callbacks:
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audio_output_callbacks[user_id](audio_data)
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# Create pipeline orchestrator
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pipeline_config = PipelineConfig(
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vad_silence_duration=config.pipeline.vad.silence_threshold,
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turn_completion_threshold=config.pipeline.turn_detection.threshold,
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turn_wait_timeout=config.pipeline.turn_detection.max_wait,
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stt_timeout=5.0,
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relevance_timeout=2.0,
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llm_timeout=10.0,
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tts_timeout=10.0,
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sample_rate=16000,
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)
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orchestrator = PipelineOrchestrator(
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config=pipeline_config,
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vad=vad,
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turn_detector=turn_detector,
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transcriber=stt_pipeline,
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transcript_manager=transcript_manager,
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relevance_filter=relevance_filter,
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llm_client=openclaw_client,
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tts_synthesizer=tts_synthesizer,
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audio_output_callback=audio_output_callback,
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query_router=query_router,
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)
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logger.info("✓ Pipeline orchestrator initialized with all optimizations")
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logger.info(" - STT beam_size=1 optimization active")
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logger.info(" - Smart model router active (Haiku/Sonnet/Opus)")
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logger.info(" - Sentence-level streaming TTS active")
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logger.info(" - TTS phrase cache active")
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# Test OpenClaw Gateway connection
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logger.info("Testing OpenClaw Gateway connection...")
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try:
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await openclaw_client.connect()
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logger.info(f"✓ Connected to OpenClaw Gateway ({config.openclaw.base_url})")
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except Exception as e:
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logger.error(f"✗ Failed to connect to OpenClaw Gateway: {e}")
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logger.error("Check OPENCLAW_BASE_URL and OPENCLAW_AUTH_TOKEN in .env")
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logger.error("Ensure OpenClaw Gateway is running on Synology NAS")
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return 1
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# Initialize FastAPI server
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logger.info("Initializing API server...")
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from server.app import create_api_server
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import uvicorn
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api_server = create_api_server(
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tts_synthesizer=tts_synthesizer,
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stt_transcriber=stt_transcriber,
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)
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logger.info(
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f"✓ API server initialized (port {config.server.port})"
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)
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# Initialize Discord bot
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logger.info("Initializing Discord bot...")
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from discord_bot.bot import run_bot
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logger.info("")
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logger.info("=" * 70)
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logger.info("Starting services...")
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logger.info("=" * 70)
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logger.info("")
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# Create tasks for both servers
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discord_task = asyncio.create_task(
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run_bot(
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config=config,
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openclaw_config=openclaw_config,
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tts_synthesizer=tts_synthesizer,
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stt_transcriber=stt_transcriber,
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orchestrator=orchestrator,
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audio_output_callbacks=audio_output_callbacks,
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),
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name="discord_bot",
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)
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logger.info("✓ Discord bot started")
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# Create uvicorn server config
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uvicorn_config = uvicorn.Config(
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api_server.app,
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host=config.server.host,
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port=config.server.port,
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log_level="info",
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)
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uvicorn_server = uvicorn.Server(uvicorn_config)
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api_task = asyncio.create_task(
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uvicorn_server.serve(), name="api_server"
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)
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logger.info(
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f"✓ API server started on {config.server.host}:{config.server.port}"
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)
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logger.info("")
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logger.info("All services running. Press Ctrl+C to stop.")
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logger.info("")
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# Run both servers concurrently
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await asyncio.gather(discord_task, api_task, return_exceptions=True)
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return 0
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except FileNotFoundError as e:
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if logger:
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logger.error(f"Configuration error: {e}")
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else:
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print(f"Error: {e}", file=sys.stderr)
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return 1
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except ValueError as e:
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if logger:
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logger.error(f"Configuration validation error: {e}")
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else:
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print(f"Error: {e}", file=sys.stderr)
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return 1
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except KeyboardInterrupt:
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if logger:
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logger.info("Keyboard interrupt received")
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return 0
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except Exception as e:
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if logger:
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logger.exception(f"Unexpected error: {e}")
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else:
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print(f"Unexpected error: {e}", file=sys.stderr)
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return 1
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finally:
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if logger:
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logger.info("Shutdown complete")
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if __name__ == "__main__":
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# Register signal handlers
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signal.signal(signal.SIGINT, signal_handler)
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signal.signal(signal.SIGTERM, signal_handler)
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# Run the async main function
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exit_code = asyncio.run(main())
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sys.exit(exit_code)
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