@signalwire/sdk
v2.0.4
Published
SignalWire AI Agents SDK for TypeScript/Node.js
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SignalWire SDK for TypeScript
Build AI voice agents, control live calls over WebSocket, and manage every SignalWire resource over REST -- all from one package.
What's in this SDK
| Capability | What it does | Quick link | |-----------|-------------|------------| | AI Agents | Build voice agents that handle calls autonomously -- the platform runs the AI pipeline, your code defines the persona, tools, and call flow | Agent Guide | | RELAY Client | Control live calls and SMS/MMS in real time over WebSocket -- answer, play, record, collect DTMF, conference, transfer, and more | RELAY docs | | REST Client | Manage SignalWire resources over HTTP -- phone numbers, SIP endpoints, Fabric AI agents, video rooms, messaging, and 17+ API namespaces | REST docs |
npm install @signalwire/sdkAI Agents
Each agent is a self-contained microservice that generates SWML (SignalWire Markup Language) and handles SWAIG (SignalWire AI Gateway) tool calls. The SignalWire platform runs the entire AI pipeline (STT, LLM, TTS) -- your agent just defines the behavior.
import { AgentBase, FunctionResult } from '@signalwire/sdk';
const agent = new AgentBase({
name: 'my-agent',
route: '/agent',
});
agent.addLanguage({ name: 'English', code: 'en-US', voice: 'inworld.Mark' });
agent.promptAddSection('Role', { body: 'You are a helpful assistant.' });
agent.defineTool({
name: 'get_time',
description: 'Get the current time',
parameters: {},
handler: () => new FunctionResult(`The time is ${new Date().toLocaleTimeString()}`),
});
agent.run(); // Starts HTTP server on port 3000Test locally without running a server:
swaig-test examples/simple-agent.ts --list-tools
swaig-test examples/simple-agent.ts --dump-swml
swaig-test examples/simple-agent.ts --exec get_timeAgent Features
- Prompt Object Model (POM) -- structured prompt composition via
promptAddSection() - SWAIG tools -- define functions with
defineTool()that the AI calls mid-conversation, with native access to the call's media stack - Skills system -- add capabilities with one-liners:
agent.addSkill('datetime') - Contexts and steps -- structured multi-step workflows with navigation control
- DataMap tools -- tools that execute on SignalWire's servers, calling REST APIs without your own webhook
- Dynamic configuration -- per-request agent customization for multi-tenant deployments
- Call flow control -- pre-answer, post-answer, and post-AI verb insertion
- Prefab agents -- ready-to-use archetypes (InfoGatherer, Survey, FAQ, Receptionist, Concierge)
- Multi-agent hosting -- serve multiple agents on a single server with
AgentServer - SIP routing -- route SIP calls to agents based on usernames
- Session state -- persistent conversation state with global data and post-prompt summaries
- Security -- auto-generated basic auth, function-specific HMAC tokens, SSL support
- Serverless -- auto-detects Lambda, CGI, Google Cloud Functions, Azure Functions
Agent Examples
The examples/ directory contains 35+ working examples:
| Example | What it demonstrates | |---------|---------------------| | simple-agent.ts | POM prompts, SWAIG tools, multilingual support, LLM tuning | | contexts-steps.ts | Multi-step workflow with context switching and step navigation | | datamap-tools.ts | Server-side API tools without webhooks | | skills-demo.ts | Loading built-in skills (datetime, math) | | call-flow.ts | Call flow verbs, debug events, FunctionResult actions | | session-state.ts | onSummary, global data, post-prompt summaries | | multi-agent.ts | Multiple agents on one server | | serverless-lambda.ts | AWS Lambda deployment | | dynamic-config.ts | Per-request dynamic configuration, multi-tenant routing |
RELAY Client
Real-time call control and messaging over WebSocket. The RELAY client connects to SignalWire via the Blade protocol and gives you imperative, async control over live phone calls and SMS/MMS.
import { RelayClient, Call } from '@signalwire/sdk';
const client = new RelayClient({
contexts: ['default'],
});
client.onCall(async (call: Call) => {
await call.answer();
const action = await call.play([
{ type: 'tts', text: 'Welcome to SignalWire!' },
]);
await action.wait();
await call.hangup();
});
client.run();- 40+ calling methods (play, record, collect, detect, tap, stream, AI, conferencing, and more)
- SMS/MMS messaging with delivery tracking
- Action objects with
wait(),stop(),pause(),resume() - Auto-reconnect with exponential backoff
See the RELAY documentation for the full guide, API reference, and examples.
REST Client
Typed HTTP client for managing SignalWire resources and controlling calls over HTTP. No WebSocket required -- just standard fetch requests.
import { RestClient } from '@signalwire/sdk';
const client = new RestClient({
project: '...',
token: '...',
host: 'example.signalwire.com',
});
await client.fabric.aiAgents.create({ name: 'Support Bot', prompt: { text: 'You are helpful.' } });
await client.calling.play(callId, { play: [{ type: 'tts', text: 'Hello!' }] });
await client.phoneNumbers.search({ area_code: '512' });
await client.datasphere.documents.search({ query_string: 'billing policy' });- 17 namespaced API surfaces: Fabric (17 resource types), Calling (37 commands), Video, Datasphere, Compat (Twilio-compatible), Phone Numbers, SIP, Queues, Recordings, and more
- Zero dependencies -- uses built-in
fetch(Node 18+) - Dict returns -- raw JSON, no wrapper objects
See the REST documentation for the full guide, API reference, and examples.
Installation
# Core SDK (agents, RELAY, REST)
npm install @signalwire/sdkRequires Node.js >= 18.
Documentation
Full reference documentation is available at developer.signalwire.com/sdks/agents-sdk.
Guides are also available in the docs/ directory:
Getting Started
- Agent Guide -- creating agents, prompt configuration, dynamic setup
- Architecture -- SDK architecture and core concepts
- SDK Features -- feature overview, SDK vs raw SWML comparison
Core Features
- SWAIG Reference -- function results, actions, post_data lifecycle
- Contexts and Steps -- structured workflows, navigation, gather mode
- DataMap Guide -- serverless API tools without webhooks
- LLM Parameters -- temperature, top_p, barge confidence tuning
- SWML Service Guide -- low-level construction of SWML documents
Skills and Extensions
- Skills System -- built-in skills and the modular framework
- Third-Party Skills -- creating and publishing custom skills
- MCP Gateway -- Model Context Protocol integration
- MCP Integration -- MCP agent setup and configuration
Deployment
- CLI Guide --
swaig-testcommand reference - Cloud Functions -- Lambda, Cloud Functions, Azure deployment
- Serverless Guide -- deploy to AWS Lambda, Google Cloud Functions, Azure Functions, CGI
- Configuration -- environment variables, SSL, proxy setup
- Security -- authentication and security model
Reference
- API Reference -- complete class and method reference
- Web Service -- HTTP server and endpoint details
- Skills Parameter Schema -- skill parameter definitions
- Prefabs Guide -- pre-built agents: InfoGatherer, Survey, FAQ, Concierge, Receptionist
- Migration Guide -- upgrading to SDK 2.0
Environment Variables
| Variable | Used by | Description |
|----------|---------|-------------|
| SIGNALWIRE_PROJECT_ID | RELAY, REST | Project identifier |
| SIGNALWIRE_API_TOKEN | RELAY, REST | API token |
| SIGNALWIRE_SPACE | RELAY, REST | Space hostname (e.g. example.signalwire.com) |
| SWML_BASIC_AUTH_USER | Agents | Basic auth username (default: auto-generated) |
| SWML_BASIC_AUTH_PASSWORD | Agents | Basic auth password (default: auto-generated) |
| SWML_PROXY_URL_BASE | Agents | Base URL when behind a reverse proxy |
| SWML_SSL_ENABLED | Agents | Enable HTTPS (true, 1, yes) |
| SWML_SSL_CERT_PATH | Agents | Path to SSL certificate |
| SWML_SSL_KEY_PATH | Agents | Path to SSL private key |
| SIGNALWIRE_LOG_LEVEL | All | Logging level (debug, info, warn, error) |
| SIGNALWIRE_LOG_MODE | All | Set to off to suppress all logging |
Testing
# Install dependencies
npm install
# Run the test suite
npm test
# Watch mode
npm run test:watch
# Build
npm run build
# Dev mode (watch + rebuild)
npm run devLicense
MIT -- see LICENSE for details.
