Voice Ai Engine Development

This walks you through building production voice AI engines with the async worker pipeline pattern: separate workers for transcription, LLM agents, and TTS that communicate through asyncio queues. The architecture is solid for real-time conversations because each component runs concurrently and everything can be interrupted mid-stream. Covers multi-provider support (Deepgram, ElevenLabs, OpenAI, etc.), critical details like muting the transcriber when the bot speaks to prevent echo, and rate-limiting audio output so interrupts actually work. If you're building something like Vocode or need proper streaming voice conversations with interrupt handling, this gives you the patterns and gotchas. The worker abstraction makes the whole pipeline surprisingly clean.