Feature/interrupt handler kriti chaturvedi

[kritic2911]

Real-Time Filler Word and Phrase Detection

Summary

Implemented an intelligent interrupt handler that detects and filters filler words/phrases in real-time during voice conversations, allowing the agent to continue speaking naturally when users provide acknowledgments.

Features Implemented

• Real-time filler word detection (yeah, okay, hmm, etc.)
• Phrase detection (all right, hang on, never mind, etc.)
• Backward-looking phrase matching for immediate detection
• Context-aware behavior based on agent speaking state
• Proper handling of interrupt words/phrases (stop, wait, hold on, etc.)

Technical Approach

• Uses AssemblyAI STT streaming for word-level transcription
• Detects phrases as they're spoken using backward-looking matching
• Calls session.drain() to remove filler messages from queue
• Tuned VAD parameters to minimize false interruptions

Testing Evidence

See log\transcription_logs.log for detailed test logs demonstrating:

1. Agent ignoring "yeah" while speaking
2. Agent responding to "yeah" when silent
3. Agent stopping for "stop"

Files Changed

• basic_agent_modified.py - Main implementation
• requirements.txt - Updated dependencies
• log\transcription_logs.log - Test evidence and logs

Dependencies

• livekit-agents
• livekit-plugins-assemblyai
• livekit-plugins-openai
• livekit-plugins-cartesia
• livekit-plugins-silero
• python-dotenv