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npx versuz@latest install openai-plugins-plugins-twilio-developer-kit-skills-twilio-twilio-voice-outboundgit clone https://github.com/openai/plugins.gitcp plugins/SKILL.MD ~/.claude/skills/openai-plugins-plugins-twilio-developer-kit-skills-twilio-twilio-voice-outbound/SKILL.md---
name: twilio-voice-outbound-calls
description: >
Make outbound phone calls via Twilio's Programmable Voice REST API. Covers
the full voice platform: calls.create(), answering machine detection (AMD),
conference-based agent bridging, call recording, status tracking, and SIP
Trunking. Use this skill for outbound calls, sales dialers, or when asking
what voice APIs are available.
---
## Overview
> **Agent safety:** Before placing an outbound call, always confirm the recipient number and intent with the user. Outbound calls are irreversible and may incur charges. For automated systems, implement TCPA compliance: obtain prior express consent, respect quiet hours (8 AM–9 PM recipient local time), and maintain a Do Not Call list.
Every outbound call requires a `from` Twilio number, a `to` recipient, and TwiML instructions that define what happens when the call is answered — either as a webhook URL or inline.
---
## Voice Platform Capabilities
Outbound calls go beyond basic `calls.create()`. Here's what you can build:
| Capability | How | When to use |
|-----------|-----|-------------|
| **Basic outbound call** | `calls.create()` with TwiML or webhook URL | Any outbound call — see Quickstart below |
| **Answering Machine Detection (AMD)** | `machineDetection` parameter on `calls.create()` | Sales dialers, call campaigns — filter voicemail from humans |
| **Conference-based agent bridging** | `<Dial><Conference>` in TwiML | Connect agents to live prospects with whisper, barge, hold |
| **SIP Trunking** | Elastic SIP Trunking | Bring your own carrier for outbound calls — cost reduction at scale |
| **Call Recording** | `record=True` on `calls.create()` or `<Record>` verb | Compliance, QA, training |
| **Voice Insights** | Automatic per-call metrics | Call quality monitoring — latency, jitter, packet loss, answer rates |
| **AI Voice Agents** | ConversationRelay + LLM | Real-time speech recognition → LLM → TTS for conversational AI |
For TwiML verbs (Say, Gather, Dial, Record, Conference, Pay), see `twilio-voice-twiml`.
For AI voice agents, see `twilio-voice-conversation-relay`.
---
## Prerequisites
- Twilio account with a voice-capable phone number
— New to Twilio? See `twilio-account-setup` for signup, getting a number, and trial limitations
— Trial accounts can only call verified numbers
- Environment variables:
- `TWILIO_ACCOUNT_SID`
- `TWILIO_AUTH_TOKEN`
— See `twilio-iam-auth-setup` for credential setup and best practices
- SDK: `pip install twilio` / `npm install twilio`
---
## Quickstart
**Python**
```python
import os
from twilio.rest import Client
client = Client(os.environ["TWILIO_ACCOUNT_SID"], os.environ["TWILIO_AUTH_TOKEN"])
call = client.calls.create(
from_="+15017122661", # Your Twilio number (E.164)
to="+15558675310", # Recipient (E.164)
twiml="<Response><Say>Your order has shipped. Goodbye.</Say></Response>"
)
print(call.sid) # CAxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
print(call.status) # queued | ringing | in-progress | completed | failed
```
**Node.js**
```node
const twilio = require("twilio");
const client = twilio(process.env.TWILIO_ACCOUNT_SID, process.env.TWILIO_AUTH_TOKEN);
const call = await client.calls.create({
from: "+15017122661",
to: "+15558675310",
twiml: "<Response><Say>Your order has shipped. Goodbye.</Say></Response>",
});
console.log(call.sid);
console.log(call.status);
```
---
## Key Patterns
### Use a Webhook URL for Dynamic Call Handling
Pass a `url` instead of inline `twiml` — Twilio POSTs to your server when the call connects and executes the TwiML you return.
**Python**
```python
call = client.calls.create(
from_="+15017122661",
to="+15558675310",
url="https://yourapp.com/twiml/welcome"
)
```
**Node.js**
```node
const call = await client.calls.create({
from: "+15017122661",
to: "+15558675310",
url: "https://yourapp.com/twiml/welcome",
});
```
**Python (Flask) — TwiML webhook handler**
```python
from flask import Flask
from twilio.twiml.voice_response import VoiceResponse
app = Flask(__name__)
@app.route("/twiml/welcome", methods=["POST"])
def welcome():
response = VoiceResponse()
response.say("Hello! Press 1 to hear your account balance.")
response.gather(num_digits=1, action="/twiml/handle-input")
return str(response)
```
**Node.js (Express) — TwiML webhook handler**
```node
const { VoiceResponse } = require("twilio").twiml;
app.post("/twiml/welcome", (req, res) => {
const response = new VoiceResponse();
response.say("Hello! Press 1 to hear your account balance.");
response.gather({ numDigits: 1, action: "/twiml/handle-input" });
res.type("text/xml").send(response.toString());
});
```
For all TwiML verbs (Say, Gather, Dial, Record, Conference), see `twilio-voice-twiml`.
### Track Call Status
**Python**
```python
call = client.calls.create(
from_="+15017122661",
to="+15558675310",
url="https://yourapp.com/twiml/welcome",
status_callback="https://yourapp.com/call-status",
status_callback_method="POST"
)
```
**Node.js**
```node
const call = await client.calls.create({
from: "+15017122661",
to: "+15558675310",
url: "https://yourapp.com/twiml/welcome",
statusCallback: "https://yourapp.com/call-status",
statusCallbackMethod: "POST",
});
```
Status transitions: `queued → ringing → in-progress → completed` (or `failed`/`busy`/`no-answer`).
### Record a Call
**Python**
```python
call = client.calls.create(
from_="+15017122661",
to="+15558675310",
url="https://yourapp.com/twiml/welcome",
record=True,
recording_status_callback="https://yourapp.com/recording-ready"
)
```
**Node.js**
```node
const call = await client.calls.create({
from: "+15017122661",
to: "+15558675310",
url: "https://yourapp.com/twiml/welcome",
record: true,
recordingStatusCallback: "https://yourapp.com/recording-ready",
});
```
Recordings accessible at `https://api.twilio.com/2010-04-01/Accounts/{AccountSid}/Recordings`.
---
## Answering Machine Detection (AMD)
Detect whether a human or voicemail answers before connecting an agent or leaving a message. Two modes:
| Mode | Behavior | Best for |
|------|----------|----------|
| `Enable` | Returns result immediately when human/machine first detected | **Sales dialers** — connect agent to humans ASAP |
| `DetectMessageEnd` | Waits for voicemail greeting to finish (beep/silence) | **Leaving voicemail** — wait for beep, then play/record message |
**Python — Sales dialer (connect agents to live answers only)**
```python
call = client.calls.create(
from_="+15017122661",
to="+15558675310",
url="https://yourapp.com/handle-answer",
machine_detection="Enable", # Immediate detection — use for live-agent connect
async_amd=True, # Non-blocking — call connects while AMD analyzes
async_amd_status_callback="https://yourapp.com/amd-result",
async_amd_status_callback_method="POST"
)
```
**Node.js**
```javascript
const call = await client.calls.create({
from: "+15017122661",
to: "+15558675310",
url: "https://yourapp.com/handle-answer",
machineDetection: "Enable",
asyncAmd: true,
asyncAmdStatusCallback: "https://yourapp.com/amd-result",
asyncAmdStatusCallbackMethod: "POST",
});
```
**AMD webhook delivers `AnsweredBy` parameter:**
| Value | Meaning | Action |
|-------|---------|--------|
| `human` | Live person detected | Connect to agent |
| `machine_start` | Machine detected, greeting still playing | Hang up or wait |
| `machine_end_beep` | Voicemail beep heard | Leave message |
| `machine_end_silence` | Silence after greeting | Leave message |
| `fax` | Fax tone detected | Hang up |
| `unknown` | Could not determine | Treat as human or retry |
**Conference-based agent bridging** (production pattern for sales dialers):
```python
# In /handle-answer webhook — when AMD says "human":
response = VoiceResponse()
dial = response.dial()
dial.conference(
f"Sales-{call_sid}",
start_conference_on_enter=False, # Prospect waits for agent
end_conference_on_exit=True
)
# Separately, dial agent into same conference:
client.calls.create(
from_="+15017122661",
to=agent_number,
twiml=f'<Response><Dial><Conference startConferenceOnEnter="true">Sales-{call_sid}</Conference></Dial></Response>'
)
```
This pattern gives you call control (whisper to agent before connecting, supervisor barge-in, hold) that direct `<Dial>` does not.
**Cost**: AMD adds ~$0.0075 per call to standard voice pricing.
---
## Response Fields
| Field | Description |
|-------|-------------|
| `sid` | Call identifier (`CA...`) |
| `status` | `queued`, `ringing`, `in-progress`, `completed`, `failed`, `busy`, `no-answer` |
| `duration` | Length in seconds (after completion) |
| `price` | Cost (populated after completion) |
---
## Common Errors
| Code | Meaning | Fix |
|------|---------|-----|
| 21211 | Invalid `to` number | Validate E.164 format |
| 13224 | Invalid TwiML at webhook URL | Validate TwiML response from your server |
| 13225 | TwiML URL returned non-200 status | Fix your webhook endpoint |
---
## CANNOT
- **Cannot use a private TwiML URL** — Must be publicly accessible. Use ngrok for local development only; deploy to a cloud provider for production.
- **Cannot exceed ~4,096 characters in inline `twiml` parameter** — Use a TwiML URL for longer responses
- **Cannot call unverified numbers on trial accounts** — Upgrade to paid or verify recipient numbers first
- **AMD accuracy is ~85-90%** — Expect some false positives/negatives. Tune `machineDetectionSpeechThreshold` (default 2400ms) based on your results.
- **AMD adds latency** — `Enable` mode returns results faster but may misclassify short greetings. `DetectMessageEnd` is more accurate but adds seconds before your app can act.
- **Cannot use AMD with SIP Trunking** — AMD is only available on calls made via the Calls API
---
## Next Steps
- **TwiML verb reference (Say, Gather, Dial, Record, Conference, Pay):** `twilio-voice-twiml`
- **AI voice agents with real-time speech/LLM:** `twilio-voice-conversation-relay`
- **Improve answer rates (Branded Calling, STIR/SHAKEN):** `twilio-numbers-senders`