Video Chat With Me

Real-time AI video chat that routes through your OpenClaw agent. Uses Groq Whisper (cloud STT), edge-tts (cloud TTS via Microsoft), and OpenClaw chatCompletions API for conversation. Your agent sees your camera, hears your voice, and responds with its own personality and memory. Requires: GROQ_API_KEY for speech recognition. Reads ~/.openclaw/openclaw.json for gateway port and auth token. Data flows: audio → Groq cloud (STT), TTS text → Microsoft cloud (edge-tts), camera frames (base64) + text → OpenClaw gateway → your configured LLM provider (may be cloud — frames leave the machine if using a cloud LLM). Installs a persistent launchd service (optional). Trigger phrases: "video chat", "voice call", "call me", "视频一下", "语音", "打电话给我", "我要和你视频", "videochat-withme".

Real-time video call with your OpenClaw agent — full personality, memory, and vision.

First-Time Setup

New users run once after installing the skill:

bash skills/videochat-withme/scripts/setup.sh

This handles everything: dependencies, Groq API key, SSL certs, launchd service.

Prerequisites

• macOS (launchd required)
• Python 3.10+, ffmpeg
• OpenClaw gateway running with chatCompletions enabled

Groq API Key (required for voice recognition)

1. Get a free key at: https://console.groq.com/keys
2. Save it:

   mkdir -p ~/.openclaw/secrets
   echo "your-key-here" > ~/.openclaw/secrets/groq_api_key.txt
   

   Or set env var: export GROQ_API_KEY="your-key-here"

Enable chatCompletions

Add to ~/.openclaw/openclaw.json:

{
  "gateway": {
    "http": {
      "endpoints": {
        "chatCompletions": { "enabled": true }
      }
    }
  }
}

Then restart OpenClaw.

How to Use (Agent Instructions)

When the user requests a video/voice call:

Step 1: Check if service is running:

curl -sk https://localhost:8766/api/config 2>/dev/null || curl -s http://localhost:8766/api/config 2>/dev/null

Step 2: If no response, setup needed:

1. Check Groq key: cat ~/.openclaw/secrets/groq_api_key.txt 2>/dev/null
   • If missing, ask user to get one at https://console.groq.com/keys
   • Save it: echo "key" > ~/.openclaw/secrets/groq_api_key.txt
2. Ask user: "What name should I display for you in the video call?"
3. Run setup:

   bash skills/videochat-withme/scripts/setup.sh --auto --agent-name "YourName" --user-name "TheirName"
   

Step 3: Initiate the call based on context:

Determine how the user is connecting and pick the best method:

1. User is at the computer (message from webchat/desktop):

   bash skills/videochat-withme/scripts/call.sh
   

   This pops up a macOS incoming call notification → user clicks Accept → browser opens.

2. User is on mobile/remote (message from Telegram/phone): Pick the right URL automatically:

   # Prefer Tailscale IP (works from any network)
   TS_IP=$(tailscale ip -4 2>/dev/null)
   # Fallback to local IP (same WiFi only)
   LOCAL_IP=$(python3 -c "import socket; s=socket.socket(socket.AF_INET,socket.SOCK_DGRAM); s.connect(('8.8.8.8',80)); print(s.getsockname()[0]); s.close()" 2>/dev/null)
   

   • If Tailscale is available → send https://<tailscale-ip>:8766 (works everywhere)
   • Otherwise → send https://<local-ip>:8766 (same WiFi only)
   • Note: first visit requires tapping "Advanced → Continue" (self-signed cert)

Architecture

🎤 Voice → Groq Whisper (STT)
📷 Camera → base64 frame
    ↓
OpenClaw /v1/chat/completions → Your Agent
    ↓
edge-tts (TTS) → 🔊 Audio playback

Scripts

Agent runs these automatically:

Script	When
setup.sh --auto	First use (service not running)
call.sh	Every call request

User can run manually if needed:

Script	Purpose
setup.sh	Interactive setup (without --auto)
start.sh	Start service
stop.sh	Stop service

Configuration

Variable	Default	Description
GROQ_API_KEY	(secrets file)	Groq API key for Whisper STT
PORT	8766	Server port
AGENT_NAME	AI Assistant	Display name for the agent
USER_NAME	User	Display name for the user
SSL_CERT	(auto-detect)	Path to SSL certificate
SSL_KEY	(auto-detect)	Path to SSL private key