voiceblender

README

VoiceBlender

A Go service that bridges SIP and WebRTC voice calls with multi-party audio mixing, a REST API, and real-time webhooks.

Features

• SIP inbound & outbound -- receive and originate SIP calls with codec negotiation (PCMU, PCMA, G.722, Opus), digest auth, session timers (RFC 4028)
• Early media -- SIP 183 Session Progress with SDP for pre-answer audio (custom ringback, IVR)
• Hold/unhold -- SIP re-INVITE with sendonly/sendrecv direction
• WebRTC -- browser-based voice via SDP offer/answer with trickle ICE
• Multi-party rooms -- mix N participants with mixed-minus-self audio at 16 kHz
• WebSocket room access -- join rooms from any client over a WebSocket with base64 PCM frames
• DTMF -- send and receive RFC 4733 telephone-events
• Recording -- stereo WAV recording per-leg or per-room, multi-channel per-participant tracks, optional S3 upload
• Playback -- stream WAV/MP3 audio or built-in telephone tones into legs or rooms
• TTS -- text-to-speech into legs or rooms (ElevenLabs, Google Cloud, AWS Polly)
• STT -- real-time speech-to-text with partial transcripts (ElevenLabs)
• AI Agent -- attach a conversational AI agent to a leg or room (ElevenLabs, VAPI, Pipecat, Deepgram) with mid-session context injection
• Webhooks -- real-time event delivery with HMAC-SHA256 signing and retry; typed event data with CDR-style leg.disconnected (disposition, timing, quality)
• Prometheus metrics -- operational metrics exposed at GET /metrics (active legs/rooms, call durations, disconnect reasons, Go runtime). See API.md for the full metric reference. Profiling via go tool pprof is available at /debug/pprof/ when built with -tags pprof.

Quick Start

# Build and run
go build -o voiceblender ./cmd/voiceblender
./voiceblender

# Or run directly
go run ./cmd/voiceblender

The REST API listens on :8080 and SIP on 127.0.0.1:5060 by default.

Configuration

All configuration is via environment variables:

Variable	Default	Description
INSTANCE_ID	(auto-generated UUID)	Instance identifier, included in API responses and webhooks
HTTP_ADDR	:8080	REST API listen address
SIP_BIND_IP	127.0.0.1	IP for SDP/Contact/Via headers
SIP_LISTEN_IP	(same as SIP_BIND_IP)	UDP socket bind IP
SIP_PORT	5060	SIP listen port
SIP_HOST	voiceblender	SIP User-Agent name
ICE_SERVERS	stun:stun.l.google.com:19302	STUN/TURN URLs (comma-separated)
RECORDING_DIR	/tmp/recordings	Local recording output directory
LOG_LEVEL	info	Log level (debug, info, warn, error)
WEBHOOK_URL		Default webhook URL for inbound calls
ELEVENLABS_API_KEY		API key for ElevenLabs TTS, STT, and Agent
VAPI_API_KEY		API key for VAPI Agent provider
S3_BUCKET		S3 bucket for recording uploads
S3_REGION	us-east-1	AWS region
S3_ENDPOINT		Custom S3 endpoint (MinIO, etc.)
S3_PREFIX		Key prefix for S3 objects
TTS_CACHE_ENABLED	false	Enable disk-backed TTS audio cache. Cached audio persists across restarts.
TTS_CACHE_DIR	/tmp/tts_cache	Directory for cached TTS audio files (used when TTS_CACHE_ENABLED=true)
TTS_CACHE_INCLUDE_API_KEY	false	Include API key in TTS cache key (set true if different keys map to different voice clones)

Links

• Website: voiceblender.org
• Documentation: voiceblender.org/docs

API Overview

Full reference: API.md

Legs

POST   /v1/legs                    # Originate outbound SIP call
GET    /v1/legs                    # List all legs
GET    /v1/legs/{id}               # Get leg details
POST   /v1/legs/{id}/answer        # Answer ringing inbound leg
POST   /v1/legs/{id}/early-media   # Enable early media (183)
DELETE /v1/legs/{id}               # Hang up
POST   /v1/legs/{id}/mute          # Mute
DELETE /v1/legs/{id}/mute          # Unmute
POST   /v1/legs/{id}/hold          # Put on hold
DELETE /v1/legs/{id}/hold          # Resume from hold
POST   /v1/legs/{id}/dtmf          # Send DTMF digits
POST   /v1/legs/{id}/play          # Play audio or tone
DELETE /v1/legs/{id}/play/{pbID}   # Stop playback
POST   /v1/legs/{id}/tts           # Text-to-speech
POST   /v1/legs/{id}/record        # Start recording
DELETE /v1/legs/{id}/record        # Stop recording
POST   /v1/legs/{id}/stt           # Start speech-to-text
DELETE /v1/legs/{id}/stt           # Stop speech-to-text
POST   /v1/legs/{id}/agent         # Attach AI agent
POST   /v1/legs/{id}/agent/message # Inject message into agent
DELETE /v1/legs/{id}/agent         # Detach AI agent

Rooms

POST   /v1/rooms                   # Create room
GET    /v1/rooms                   # List rooms
GET    /v1/rooms/{id}              # Get room
DELETE /v1/rooms/{id}              # Delete room (hangs up all legs)
POST   /v1/rooms/{id}/legs         # Add or move leg to room
DELETE /v1/rooms/{id}/legs/{legID}      # Remove leg from room
GET    /v1/rooms/{id}/ws           # Join room via WebSocket
POST   /v1/rooms/{id}/play         # Play audio or tone to room
DELETE /v1/rooms/{id}/play/{pbID}  # Stop room playback
POST   /v1/rooms/{id}/tts          # TTS to room
POST   /v1/rooms/{id}/record       # Record room mix
DELETE /v1/rooms/{id}/record       # Stop room recording
POST   /v1/rooms/{id}/stt          # STT on all participants
DELETE /v1/rooms/{id}/stt          # Stop room STT
POST   /v1/rooms/{id}/agent        # Attach AI agent to room
POST   /v1/rooms/{id}/agent/message # Inject message into agent
DELETE /v1/rooms/{id}/agent        # Detach AI agent from room

WebRTC

POST   /v1/webrtc/offer                    # SDP offer/answer exchange
POST   /v1/legs/{id}/ice-candidates        # Add trickle ICE candidate
GET    /v1/legs/{id}/ice-candidates        # Get gathered ICE candidates

Webhooks

POST   /v1/webhooks                # Register webhook
GET    /v1/webhooks                # List webhooks
DELETE /v1/webhooks/{id}           # Unregister webhook

Typical Workflow

1. Register a webhook        POST /v1/webhooks
2. Receive inbound call      --> webhook: leg.ringing {leg_id, from, to}
3. Answer                    POST /v1/legs/{id}/answer
4. Create a room             POST /v1/rooms
5. Add legs to room          POST /v1/rooms/{id}/legs
6. Attach AI agent           POST /v1/legs/{id}/agent
7. Start recording           POST /v1/legs/{id}/record
8. Hang up                   DELETE /v1/legs/{id}

Examples

Example	Description
examples/call_handler.py	Python webhook listener for inbound SIP calls with room conferencing
examples/webrtc-client/	Browser-based WebRTC voice client with room management and DTMF
examples/gen_test_wav.py	Generate test WAV files for playback testing

Project Structure

cmd/voiceblender/       Entry point
internal/
  api/                  REST API (chi router)
  sip/                  SIP engine (sipgo)
  leg/                  Leg interface, SIPLeg, WebRTCLeg
  room/                 Room + Manager
  mixer/                Multi-party audio mixer (mixed-minus-self)
  codec/                Codec adapters (PCMU, PCMA, G.722, Opus)
  events/               Event bus + webhook delivery
  playback/             Audio file playback
  recording/            WAV recording
  tts/                  TTS (ElevenLabs, Google Cloud, AWS Polly)
  stt/                  STT (ElevenLabs)
  agent/                AI agent (ElevenLabs, VAPI, Pipecat)
  storage/              S3 upload backend
  config/               Environment variable config
tests/integration/      Integration and benchmark tests

Testing

# Unit tests
go test ./internal/...

# Integration tests (requires two SIP instances)
go test -tags integration -v -timeout 60s ./tests/integration/

# Benchmark (concurrent rooms)
go test -tags integration -v -timeout 120s -run TestConcurrentRoomsScale ./tests/integration/

See TESTING.md for details.

Dependencies

Library	Description	Notes
sipgo	SIP stack	Excellent SIP stack in go
pion/webrtc	WebRTC	Nothing is better than Pion
go-chi	HTTP router
zaf/g711	G.711 codec
gobwas/ws	WebSocket
go-audio/wav	WAV encoding
gopus	Opus codec	Thanks Marcelo! (Claude and Codex too!)
go-mp3	MP3 decoder	Pure Go
go-audio/audio	Audio buffer types
google/uuid	UUID generation
prometheus/client_golang	Prometheus metrics
aws-sdk-go-v2	AWS SDK (S3, Polly)
cloud.google.com/go/texttospeech	Google Cloud TTS
protobuf	Protocol Buffers	Pipecat agent
x/sync	Concurrency utilities

AI-Assisted Development

This project was developed with the assistance of Claude Code, Anthropic's AI coding assistant.

License

See LICENSE file.