Skip to main content

A self-hosted automated outbound dialer phone bot

Project description

📞 Autodial PhoneBot: Self-Hosted AI Dialer

PyPI version License: MIT

Autodial is a production-grade, self-hosted outbound and inbound phone automation engine. It leverages state-of-the-art Local Speech-to-Text (STT), Large Language Models (LLM), and Local Text-to-Speech (TTS) to create intelligent, human-like phone interactions.

Built for high-performance automation, Autodial can handle inbound calls gracefully, navigate IVR menus, handle complex DTMF interactions, execute mass broadcasts, and notify your external systems via webhooks upon call conclusion. It natively supports both Twilio and Telnyx.


🚀 Key Features

  • Bidirectional Calling: Make automated outbound calls via Python or handle inbound calls instantly by pointing your Twilio/Telnyx webhook to the /incoming endpoint.
  • Provider Agnostic: Native auto-detection and WebSocket formatting for both Twilio and Telnyx media streams. Fixes all edge-case payload validation errors out of the box.
  • Multi-Concurrent Interaction: Built on FastAPI and Python's asyncio, handling dozens of simultaneous Media Streams with low overhead.
  • Local Transcription Engine: Powered by Faster-Whisper (STT). Optimized for GPU (RTX series) with automatic CPU fallback.
  • Dynamic AI Personalities: Inject per-call context, goals, and keywords. The AI intelligently adapts its persona and strategy for every unique target.
  • Developer-Defined Guardrails: Set strict system_instructions to keep calls on track and ensure brand-safe communication.
  • Intelligent Call Termination: Built-in intent recognition for phrases like "stop calling me" or "goodbye," ensuring polite and immediate hang-ups.
  • Broadcast & Direct Messaging: Need to send a simple notification? Use Broadcast Mode to play a direct message and disconnect immediately.
  • Automated Call Logs & Webhooks: Every call generates a detailed JSON transcript. Configure a callback_url to receive data as soon as the session ends.

🛠 Prerequisites & Installation

Core Requirements

  1. Ollama: Serving a chat-ready model (e.g., llama3.2) at a reachable URL.
  2. Piper TTS: The piper binary should be in your system PATH, along with its .onnx models.
  3. Twilio or Telnyx: An active Account SID/API Key, Auth Token, and a verified Phone Number.

System Install

pip install autodial

⚙️ Configuration

Autodial consumes configuration via environment variables. Create a .env file in your execution directory:

PORT=8000
OLLAMA_CHAT_URL=http://localhost:11434/api/chat
LLM_MODEL=llama3.2:3b
PIPER_MODEL=./en_US-lessac-medium.onnx

TWILIO_ACCOUNT_SID=your_sid_here
TWILIO_AUTH_TOKEN=your_token_here
TWILIO_PHONE_NUMBER=+1234567890

# (If using Telnyx, provide Telnyx API keys but use the Twilio env vars for drop-in compatibility)

🖥 Start the Server

Launch the Autodial engine with a single command:

autodial

Note: The server will initialize Whisper on your GPU if available (CUDA), otherwise it fallbacks to CPU.


🐍 Python Client Usage

The library includes a professional AutodialClient to make programmatic orchestration seamless.

from autodial import AutodialClient

# Connect to your Autodial instance
client = AutodialClient("http://localhost:8000")

# Scenario: Appointment Reminder with Guardrails
client.dial(
    target_number="+15551234567",
    context="Reminder for Dr. Smith's clinic",
    goals="Confirm the 2:00 PM slot today",
    system_instructions="Always be polite. If the user is busy, offer to call back later.",
    callback_url="https://api.yourclinic.com/webhooks/call-results"
)

# Scenario: Emergency Alert Broadcast
client.broadcast(
    numbers=["+15550001", "+15550002", "+15550003"],
    message="This is an automated alert from the city. Please evacuate immediately.",
    callback_url="https://api.city.gov/logs"
)

📞 Handling Inbound Calls (Bidirectional)

Autodial isn't just for outbound dialing. It exposes an /incoming REST endpoint that automatically generates the required TwiML/TeXML to connect callers to your AI bot.

Setup Instructions:

  1. Log in to your Twilio or Telnyx Console.
  2. Navigate to your active Phone Number settings.
  3. Find the Webhook URL for incoming calls.
  4. Set it to POST https://your-autodial-server.com/incoming

When a user dials your number, the provider hits the endpoint, receives the Media Stream instruction, and the AI connects automatically using the base SYSTEM_PROMPT.


📡 API Reference

POST /dial

Initiates a single interactive AI session.

Parameter Type Description
to_number string Required. The target phone number in E.164 format.
context string Detailed background info for the AI to understand the call's nature.
goals string Specific outcomes or data points the AI should strive to achieve.
keywords string Focus phrases for the transcription engine to prioritize.
system_instructions string High-priority guardrails and behavioral rules for the session.
callback_url string POST endpoint to receive the final JSON transcript and status.

POST /incoming

A webhook endpoint for Twilio/Telnyx. Do not call this manually. It automatically returns <Connect><Stream .../> XML to start a bidirectional session.


🛡 License

This project is licensed under the MIT License - see the LICENSE file for details.


Built with ❤️ by the Autodial Maintainers.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

autodial-0.4.0.tar.gz (14.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

autodial-0.4.0-py3-none-any.whl (13.9 kB view details)

Uploaded Python 3

File details

Details for the file autodial-0.4.0.tar.gz.

File metadata

  • Download URL: autodial-0.4.0.tar.gz
  • Upload date:
  • Size: 14.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for autodial-0.4.0.tar.gz
Algorithm Hash digest
SHA256 77681e88f30b27402c41dbcbc23fcc689b39c2cf5c6ae5eb7013b640d3b46424
MD5 75e9286f78bbdcdb51b60cd07a2fb240
BLAKE2b-256 46aa737c7e55aa56dac1efe8c1a75bf74b15355cac24463844bbc7f9af1c15c2

See more details on using hashes here.

File details

Details for the file autodial-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: autodial-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 13.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for autodial-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c4f2a86ecd7a5e68e661dfb1e3252b7cf8b3278702d679209067f93cb6775bec
MD5 d712a343466ae40b8ba07f806c964a78
BLAKE2b-256 242b0c5d7567aa1ae87c2000fc3e2f20a4b7aad666a53f0d4722306226248838

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page