GitHub - SaynaAI/sayna: Sayna is a unified Voice Layer for AI Agents with a seemless integration to an existing agentic frameworks

Sayna

A high-performance real-time voice processing server built in Rust that provides unified Speech-to-Text (STT) and Text-to-Speech (TTS) services through WebSocket and REST APIs.

Features

• Unified Voice API: Single interface for multiple STT/TTS providers
• Real-time Processing: WebSocket-based bidirectional audio streaming
• LiveKit Integration: WebRTC audio streaming with room-based communication
• VAD + Turn Detection: Silero-VAD for audio-level silence detection with integrated ML-based end-of-turn detection (stt-vad feature)
• Advanced Noise Filtering: Optional DeepFilterNet integration (noise-filter feature)
• Provider Flexibility: Pluggable architecture supporting multiple providers
  • Deepgram (STT/TTS)
  • ElevenLabs (STT/TTS)
  • Google Cloud (STT/TTS) - WaveNet, Neural2, and Studio voices
  • Microsoft Azure (STT/TTS) - 400+ neural voices across 140+ languages
• Audio-Disabled Mode: Development mode without API keys

Quick Start

Prerequisites

• Docker
• At least one provider API key (optional - can run in audio-disabled mode)

Run with Docker

docker run -d \
  -p 3001:3001 \
  -e DEEPGRAM_API_KEY=your-key \
  saynaai/sayna

The server will be available at http://localhost:3001.

Docker Compose

version: "3.9"
services:
  sayna:
    image: saynaai/sayna
    ports:
      - "3001:3001"
    environment:
      DEEPGRAM_API_KEY: ${DEEPGRAM_API_KEY}
      ELEVENLABS_API_KEY: ${ELEVENLABS_API_KEY}
      CACHE_PATH: /data/cache
    volumes:
      - sayna-cache:/data/cache

volumes:
  sayna-cache: {}

For complete Docker documentation including LiveKit integration, see docs/docker.md.

Running Without API Keys (Audio-Disabled Mode)

You can run Sayna without Deepgram or ElevenLabs API keys by using the audio-disabled mode. Simply start the server without configuring the API keys, then send a WebSocket configuration message with audio_disabled: true:

{
  "type": "config",
  "config": {
    "audio_disabled": true,
    "stt_provider": "deepgram",
    "tts_provider": "elevenlabs"
  }
}

This mode is useful for:

• Local development and testing
• UI/UX development without audio processing
• Testing WebSocket message flows
• Debugging non-audio features

Authentication (Optional)

Sayna supports customer-based authentication that delegates token validation to an external authentication service. When enabled, protected API endpoints require a valid bearer token.

Enabling Authentication

Add to your .env file:

AUTH_REQUIRED=true
AUTH_SERVICE_URL=https://your-auth-service.com/auth
AUTH_SIGNING_KEY_PATH=/path/to/auth_private_key.pem
AUTH_TIMEOUT_SECONDS=5

Generate signing keys:

# Generate RSA private key
openssl genrsa -out auth_private_key.pem 2048

# Extract public key (share with auth service)
openssl rsa -in auth_private_key.pem -pubout -out auth_public_key.pem

Making Authenticated Requests

curl -X POST http://localhost:3001/speak \
  -H "Authorization: Bearer your-token-here" \
  -H "Content-Type: application/json" \
  -d '{"text": "Hello world"}'

For complete authentication setup and architecture details, see docs/authentication.md.

API Endpoints

WebSocket

• Endpoint: /ws
• Protocol: WebSocket
• Purpose: Real-time bidirectional audio streaming and control

Message Types

Configuration Message:

{
  "type": "config",
  "config": {
    "stt_provider": "deepgram",
    "tts_provider": "elevenlabs",
    "audio_disabled": false,
    "deepgram_model": "nova-2",
    "elevenlabs_voice_id": "voice_id_here"
  }
}

Audio Input: Binary audio data (16kHz, 16-bit PCM)

Text Input:

{
  "type": "text",
  "text": "Convert this text to speech"
}

REST API

• Health Check: GET / - Server health check endpoint
• Voices: GET /voices - List available TTS voices (requires auth if AUTH_REQUIRED=true)
• Speak: POST /speak - Generate speech from text (requires auth if AUTH_REQUIRED=true)
• LiveKit Token: POST /livekit/token - Generate LiveKit participant token (requires auth if AUTH_REQUIRED=true)
• LiveKit Webhook: POST /livekit/webhook - Webhook endpoint for LiveKit events (unauthenticated, uses LiveKit signature verification)
  • Called by LiveKit to deliver room and participant events
  • Validates requests using LiveKit's JWT signature mechanism
  • Logs SIP-related attributes for phone call troubleshooting
  • See docs/livekit_webhook.md for details

Architecture Overview

Core Components

• VoiceManager: Central coordinator for all voice processing operations
• Provider System: Trait-based abstraction for pluggable STT/TTS providers
• WebSocket Handler: Real-time communication and message routing
• LiveKit Integration: WebRTC audio streaming and room management
• DeepFilterNet: Advanced noise reduction with adaptive processing

Request Flow

1. Client establishes WebSocket connection to /ws
2. Client sends configuration with provider selection
3. Audio processing pipeline:
   • STT: Audio � Noise Filter (optional) � STT Provider � Text
   • TTS: Text � TTS Provider � Audio � Client
4. LiveKit mode enables room-based audio streaming

Development

For local development, you can build and run from source.

Prerequisites

• Rust 1.88.0 or later
• Optional: ONNX Runtime (for stt-vad feature which includes VAD and turn detection)

Building from Source

# Development build
cargo build

# Release build (optimized)
cargo build --release

# Run the server
cargo run

# Run with a config file
cargo run -- -c config.yaml

Feature Flags

Sayna exposes several Cargo features that gate heavyweight subsystems:

• stt-vad: Silero-VAD voice activity detection with integrated ONNX-based turn detection. When enabled, VAD monitors audio for silence and triggers the turn detection model to confirm if the speaker's turn is complete.
• noise-filter: DeepFilterNet noise suppression pipeline
• openapi: OpenAPI 3.1 specification generation

# Run with VAD and turn detection
cargo run --features stt-vad

# Run with noise filter
cargo run --features noise-filter

# Run with multiple features
cargo run --features stt-vad,noise-filter,openapi

The Docker image includes stt-vad and noise-filter by default.

Testing

# Run all tests
cargo test

# Run specific test
cargo test test_name

# Run with output
cargo test -- --nocapture

Code Quality

# Format code
cargo fmt

# Run linter
cargo clippy

# Check for security vulnerabilities
cargo audit

Building Docker Image Locally

# Build Docker image
docker build -t sayna .

# Run container
docker run -p 3001:3001 --env-file .env sayna

Configuration

Environment Variables

*Not required when using audio-disabled mode **Required when AUTH_REQUIRED=true for the auth method you choose ***Required for LiveKit webhook validation and token generation features ****Legacy single-secret fallback; prefer AUTH_API_SECRETS_JSON

SIP Configuration (Optional)

Sayna supports first-class SIP configuration for managing SIP-specific settings. See docs/sip_config.md for detailed documentation.

YAML Configuration:

sip:
  room_prefix: "sip-"
  allowed_addresses:
    - "192.168.1.0/24"
    - "10.0.0.1"
  hook_secret: "your-signing-secret"  # Required if hooks configured
  hooks:
    - host: "example.com"
      url: "https://webhook.example.com/events"

Important: All SIP webhook forwarding requests are signed with HMAC-SHA256. You must configure hook_secret (or per-hook secret overrides) if using sip.hooks. See docs/livekit_webhook.md#webhook-signing for signature verification examples.

Environment Variables:

• SIP_ROOM_PREFIX: Room name prefix for SIP calls (required if SIP enabled)
• SIP_ALLOWED_ADDRESSES: Comma-separated IP addresses/CIDRs
• SIP_HOOK_SECRET: Global signing secret for webhook authentication (min 16 chars)
• SIP_HOOKS_JSON: JSON array of webhook configurations (with optional per-hook secret field)

Performance Considerations

• DeepFilterNet: CPU-intensive processing uses thread pooling
• Audio Buffering: Optimized chunk processing for low latency
• Connection Reuse: Provider connections are maintained for efficiency
• Async Processing: Non-blocking WebSocket message handling
• Memory Management: Careful buffer management in audio loops

Contributing

1. Review the development rules in .cursor/rules/:

   • rust.mdc: Rust best practices
   • core.mdc: Business logic specifications
   • axum.mdc: Framework patterns
   • livekit.mdc: LiveKit integration details

2. Follow the existing code patterns and conventions

3. Add tests for new features

4. Ensure cargo fmt and cargo clippy pass

Support

For issues, questions, or contributions, please visit the GitHub repository.