Phone Agent Skill

Runs a local FastAPI server that acts as a real-time voice bridge.

Architecture

Twilio (Phone) <--> WebSocket (Audio) <--> [Local Server] <--> Deepgram (STT)
                                                  |
                                                  +--> OpenAI (LLM)
                                                  +--> ElevenLabs (TTS)

Prerequisites

1. Twilio Account: Phone number + TwiML App.
2. Deepgram API Key: For fast speech-to-text.
3. OpenAI API Key: For the conversation logic.
4. ElevenLabs API Key: For realistic text-to-speech.
5. Ngrok (or similar): To expose your local port 8080 to Twilio.

Setup

1. Install Dependencies:

   pip install -r scripts/requirements.txt
   

2. Set Environment Variables (in ~/.moltbot/.env, ~/.clawdbot/.env, or export):

   export DEEPGRAM_API_KEY="your_key"
   export OPENAI_API_KEY="your_key"
   export ELEVENLABS_API_KEY="your_key"
   export TWILIO_ACCOUNT_SID="your_sid"
   export TWILIO_AUTH_TOKEN="your_token"
   export PORT=8080
   

3. Start the Server:

   python3 scripts/server.py
   

4. Expose to Internet:

   ngrok http 8080
   

5. Configure Twilio:

   • Go to your Phone Number settings.
   • Set "Voice & Fax" -> "A Call Comes In" to Webhook.
   • URL: https://<your-ngrok-url>.ngrok.io/incoming
   • Method: POST

Usage

Call your Twilio number. The agent should answer, transcribe your speech, think, and reply in a natural voice.

Customization

• System Prompt: Edit SYSTEM_PROMPT in scripts/server.py to change the persona.
• Voice: Change ELEVENLABS_VOICE_ID to use different voices.
• Model: Switch gpt-4o-mini to gpt-4 for smarter (but slower) responses.