## 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>
53 lines
1.4 KiB
Python
53 lines
1.4 KiB
Python
"""Jarvis Voice Bot - Audio Processing Pipeline"""
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from .audio_buffer import AudioRingBuffer, PerUserAudioBuffer
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from .vad import SileroVAD, PerUserVAD, SpeechSegment, SpeechState
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from .turn_detector import SmartTurnDetector, TurnDetectionManager, create_turn_detector
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from .transcript_manager import (
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TranscriptEntry,
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TranscriptManager,
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PerGuildTranscriptManager,
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create_transcript_manager,
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)
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from .transcriber import PipelineTranscriber, create_pipeline_transcriber
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from .relevance_filter import (
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RelevanceResult,
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RelevanceFilter,
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PerGuildRelevanceFilter,
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create_relevance_filter,
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)
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from .orchestrator import (
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PipelineConfig,
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PipelineState,
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UserPipeline,
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PipelineOrchestrator,
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)
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from .query_router import QueryRouter, RoutingDecision
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__all__ = [
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"AudioRingBuffer",
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"PerUserAudioBuffer",
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"SileroVAD",
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"PerUserVAD",
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"SpeechSegment",
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"SpeechState",
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"SmartTurnDetector",
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"TurnDetectionManager",
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"create_turn_detector",
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"TranscriptEntry",
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"TranscriptManager",
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"PerGuildTranscriptManager",
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"create_transcript_manager",
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"PipelineTranscriber",
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"create_pipeline_transcriber",
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"RelevanceResult",
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"RelevanceFilter",
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"PerGuildRelevanceFilter",
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"create_relevance_filter",
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"PipelineConfig",
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"PipelineState",
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"UserPipeline",
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"PipelineOrchestrator",
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"QueryRouter",
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"RoutingDecision",
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]
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