WebSocket Voice AI Agent
WebSocket voice AI agent handling client acquisition using Whisper STT, Orpheus TTS, and LangGraph orchestration.
- Instant WebSocket First Response
- 100% Automated Meeting Bookings
- <1.2s Round-Trip Voice Latency
- 98% JSON Parsed Data Accuracy
Challenge, solution, outcome
Challenge
Client acquisition teams struggled to respond to inbound leads instantly, resulting in lost opportunities due to delayed follow-ups.
- Managing audio packet latency and synchronization over duplex WebSockets
- Preventing hallucination and maintaining script flow during open-ended customer queries
- Optimizing semantic search speed over dense and sparse vector spaces simultaneously
Solution
Created an autonomous voice agent capable of answering inbound calls instantly, qualifying leads, and booking meetings directly in calendars.
- Implemented binary audio chunking and buffered streaming to minimize audio playback latency
- Designed structured state transitions in LangGraph to keep the AI agent on-track with BANT parameters
- Engineered a hybrid Pinecone index combining dense embeddings with sparse lexical tokens for high-precision context retrieval
Outcome
Automated the entire initial sales qualification funnel, eliminating human scheduling delays and capturing clean, structured BANT data for CRM tools.
Architecture & engineering
System layers derived from the delivery stack — how the product is composed end to end.
AI Orchestration
Stateful multi-agent system handling real-time audio chunking, low-latency transcription, and response stream generation.
- LangGraph
- FastAPI
- Groq LLMs
- Whisper STT
Data & Retrieval
Hybrid search index matching semantic dense vectors and lexical sparse tokens with custom query expansion retries.
- Pinecone
- Cohere Reranking
- HyDE Retries
- Supabase PostgreSQL
Integrations & UI
Automated client booking calendar integrations and custom audio streaming controls built with TypeScript and React.
- Cal.com API
- React
- Astro
- TypeScript
Key features
- 01Duplex WebSocket Voice Streaming for Real-Time Conversation
- 02Low-Latency Speech-to-Text (Whisper STT) and Text-to-Speech (Orpheus TTS)
- 03Stateful Conversational Orchestration with LangGraph
- 04BANT (Budget, Authority, Need, Timeline) Lead Qualification Framework
- 05Structured JSON Outputs for CRM & Database Storage
- 06Automated Scheduling Integration via Cal.com API
- 07Hybrid RAG Pipeline with Cohere Reranking & HyDE Retries
- 08Hexagonal Architecture for Modular Integration
Product gallery
Interface and workflow frames — placeholders until production captures are wired in.
Technology stack
AI Orchestration
Stateful multi-agent system handling real-time audio chunking, low-latency transcription, and response stream generation.
Data & Retrieval
Hybrid search index matching semantic dense vectors and lexical sparse tokens with custom query expansion retries.
Integrations & UI
Automated client booking calendar integrations and custom audio streaming controls built with TypeScript and React.
Results & impact
- Instant
WebSocketFirst Response - 100%
AutomatedMeeting Bookings - <1.2s
Round-TripVoice Latency - 98%
JSON ParsedData Accuracy
- Mastered duplex WebSockets and real-time audio chunking protocols.
- Designed stateful conversational flows using LangGraph for multi-turn lead qualifying.
- Built high-performance, hybrid RAG retrievers matching semantic intent with precise database lookups.