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Phone Voice Integration

Connect ElevenLabs Agents to your OpenClaw via phone with Twilio. Includes caller ID auth, voice PIN security, call screening, memory injection, and cost tracking.

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Connect ElevenLabs Agents to your OpenClaw via phone with Twilio. Includes caller ID auth, voice PIN security, call screening, memory injection, and cost tracking.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
2.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 22 sections Open source page

Phone Voice Integration

Turn your OpenClaw into a phone-callable assistant with ElevenLabs Agents + Twilio. What you get: πŸ“ž Call your bot from any phone πŸ” Caller ID authentication + voice PIN security πŸ›‘οΈ Call screening (whitelist-based) 🧠 Full memory context (loads MEMORY.md, USER.md) πŸ’° Cost tracking per call πŸ“ Call transcripts with summaries ⏱️ Rate limiting 🌐 Permanent tunnel (Cloudflare) or temporary (ngrok)

Architecture

Phone β†’ Twilio β†’ ElevenLabs Agent β†’ Your Bridge β†’ Anthropic Claude β†’ OpenClaw Tools ↓ Memory Context (MEMORY.md, USER.md) Flow: Caller dials your Twilio number Twilio routes to ElevenLabs Agent Agent sends chat completions to your bridge (mimics OpenAI API) Bridge translates to Anthropic, injects context from memory files Claude response β†’ ElevenLabs TTS β†’ caller hears it

Prerequisites

OpenClaw installed and running ElevenLabs account + API key Twilio account + phone number Anthropic API key Cloudflare tunnel or ngrok (for exposing localhost)

1. Enable Chat Completions in OpenClaw

Not needed for this skill β€” the bridge bypasses OpenClaw and calls Claude directly. This gives you more control over memory injection and cost tracking.

2. Create the Bridge Server

The bridge is a FastAPI server that: Accepts OpenAI-compatible /v1/chat/completions requests from ElevenLabs Injects memory context (MEMORY.md, USER.md, live data) Calls Anthropic Claude API Streams responses back in OpenAI format Logs costs and transcripts Key files: server.py β€” FastAPI app with /v1/chat/completions endpoint fred_prompt.py β€” System prompt builder (loads memory files) .env β€” Secrets (API keys, tokens, whitelist) contacts.json β€” Caller whitelist for screening

3. Set Up Cloudflare Tunnel (Recommended)

Permanent, secure alternative to ngrok: # Install cloudflared brew install cloudflare/cloudflare/cloudflared # Login and configure cloudflared tunnel login cloudflared tunnel create <tunnel-name> # Run the tunnel cloudflared tunnel --url http://localhost:8013 run <tunnel-name> Add a CNAME in Cloudflare DNS: voice.yourdomain.com β†’ <tunnel-id>.cfargotunnel.com Or use ngrok (temporary): ngrok http 8013

4. Configure ElevenLabs Agent

Option A: Manual (UI) Go to ElevenLabs dashboard β†’ Conversational AI Create new agent Under LLM settings β†’ Custom LLM Set URL: https://voice.yourdomain.com/v1/chat/completions Add header: Authorization: Bearer <YOUR_BRIDGE_TOKEN> Option B: Programmatic (API) # Step 1: Store your bridge auth token as a secret curl -X POST https://api.elevenlabs.io/v1/convai/secrets \ -H "xi-api-key: YOUR_ELEVENLABS_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "type": "new", "name": "bridge_auth_token", "value": "YOUR_BRIDGE_AUTH_TOKEN" }' # Response: {"secret_id": "abc123..."} # Step 2: Create the agent curl -X POST https://api.elevenlabs.io/v1/convai/agents/create \ -H "xi-api-key: YOUR_ELEVENLABS_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "conversation_config": { "agent": { "language": "en", "prompt": { "llm": "custom-llm", "prompt": "You are a helpful voice assistant.", "custom_llm": { "url": "https://voice.yourdomain.com/v1/chat/completions", "api_key": {"secret_id": "abc123..."} } } } } }'

5. Connect Twilio Phone Number

In ElevenLabs agent settings: Go to Phone section Enter Twilio Account SID and Auth Token Select your Twilio phone number Save Done! Your bot now answers that phone number.

Caller ID Authentication

Recognizes whitelisted numbers automatically: // contacts.json { "+12505551234": { "name": "Alice", "role": "family" } }

Voice PIN Challenge

For unknown callers or high-security actions: VOICE_PIN = "banana" # Set in .env Caller must say the PIN to proceed.

Call Screening

Unknown numbers get a receptionist prompt: "This is Fred's assistant. I can take a message or help with general questions."

Rate Limiting

Configurable per-hour limits: RATE_LIMIT_PER_HOUR = 10 Prevents abuse and runaway costs.

Memory Injection

The bridge auto-loads context before each call: Files read: MEMORY.md β€” Long-term facts about user, projects, preferences USER.md β€” User profile (name, location, timezone) Recent call transcripts (cross-call memory) Live data injection: Current time/date Weather (optional, via API) Calendar events (optional, via gog CLI) All injected into the system prompt before Claude sees the conversation.

Cost Tracking

Every call logs to memory/voice-calls/costs.jsonl: { "call_sid": "CA123...", "timestamp": "2026-02-03T10:30:00", "caller": "+12505551234", "duration_sec": 45, "total_cost_usd": 0.12, "breakdown": { "twilio": 0.02, "elevenlabs": 0.08, "anthropic": 0.02 } } Run analytics on the JSONL to track monthly spend.

Usage Example

Call your bot: Dial your Twilio number If you're whitelisted β†’ casual conversation starts If you're unknown β†’ receptionist mode Ask it to check your calendar, send a message, set a reminder, etc. Outbound calling (optional): curl -X POST https://voice.yourdomain.com/call/outbound \ -H "Authorization: Bearer <BRIDGE_TOKEN>" \ -d '{"to": "+12505551234", "message": "Reminder: dentist at 3pm"}'

Configuration Options

Environment variables (.env): ANTHROPIC_API_KEY=sk-ant-... ELEVENLABS_API_KEY=sk_... ELEVENLABS_AGENT_ID=agent_... TWILIO_ACCOUNT_SID=AC... TWILIO_AUTH_TOKEN=... TWILIO_NUMBER=+1... LLM_BRIDGE_TOKEN=<random-secure-token> VOICE_PIN=<your-secret-word> CLAWD_DIR=/path/to/clawd Whitelist (contacts.json): { "+12505551234": {"name": "Alice", "role": "family"}, "+12505555678": {"name": "Bob", "role": "friend"} }

Advanced: Office Hours

Restrict calls to business hours: # In server.py OFFICE_HOURS = { "enabled": True, "timezone": "America/Vancouver", "weekdays": {"start": "09:00", "end": "17:00"}, "weekends": False } Outside hours β†’ voicemail prompt.

Debugging

Test the bridge directly: curl -X POST https://voice.yourdomain.com/v1/chat/completions \ -H "Authorization: Bearer <BRIDGE_TOKEN>" \ -H "Content-Type: application/json" \ -d '{ "model": "claude-sonnet-4", "messages": [{"role": "user", "content": "Hello!"}], "stream": false }' Check logs: tail -f ~/clawd/memory/voice-calls/bridge.log Verify Twilio webhook: Call your number Check Twilio console β†’ Call logs β†’ Webhook status Should see 200 responses from ElevenLabs

Cost Estimates

Per-minute breakdown: Twilio: ~$0.01/min (inbound) + carrier fees ElevenLabs TTS: ~$0.05/min (varies by voice quality) Anthropic Claude: ~$0.01/min (depends on token usage) Total: ~$0.07-0.10/min (~$4-6/hour of talk time) Use rate limiting and call screening to control costs.

Comparison: This vs Basic Tutorial

ElevenLabs official tutorial: βœ… Basic integration ❌ No security ❌ No memory persistence ❌ No cost tracking ❌ Temporary ngrok URL This skill (Phone Voice v2.0): βœ… All of the above βœ… Caller ID + PIN security βœ… Cross-call memory βœ… Cost tracking & analytics βœ… Permanent tunnel (Cloudflare) βœ… Rate limiting βœ… Call screening βœ… Transcript logging

Links

ElevenLabs Agents: https://elevenlabs.io/conversational-ai Twilio: https://www.twilio.com/ Cloudflare Tunnels: https://developers.cloudflare.com/cloudflare-one/connections/connect-apps/ Reference implementation: (Available on request β€” DM @FredMolty)

License

MIT β€” use freely, credit appreciated. Built by Fred (@FredMolty) β€” running on OpenClaw since 2026.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

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Package contents

Included in package
1 Docs
  • SKILL.md Primary doc