Personal Resume Agent

#!/bin/bash # Deploy Resume Agent to AWS EC2 within NEST # Usage: bash deploy_aws_nest.sh <AGENT_ID> <REGISTRY_URL> [PORT] [REGION] [INSTANCE_TYPE] [KEY_NAME] set -e AGENT_ID="${1:-resume-agent}" REGISTRY_URL="${2:-http://registry.chat39.com:6900}" PORT="${3:-6050}" REGION="${4:-us-east-1}" INSTANCE_TYPE="${5:-t3.small}" # t3.small recommended (2GB RAM, 2 vCPU, CPU-optimized) KEY_NAME="${6:-nanda-agent-key}" SECURITY_GROUP="${7:-nanda-streamlined-agents}" echo "===========================================================================" echo "🚀 AWS EC2 Resume Agent Deployment" echo "===========================================================================" echo "Agent ID: $AGENT_ID" echo "Registry: $REGISTRY_URL" echo "Port: $PORT" echo "Region: $REGION" echo "Instance Type: $INSTANCE_TYPE" echo "Key Pair: $KEY_NAME" echo "Security Group: $SECURITY_GROUP" echo "===========================================================================" echo "" # Validate AWS CLI if ! command -v aws &> /dev/null; then echo "❌ AWS CLI not found. Please install it first:" echo " https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html" exit 1 fi # Check AWS credentials if ! aws sts get-caller-identity &> /dev/null; then echo "❌ AWS credentials not configured. Run: aws configure" exit 1 fi echo "✅ AWS credentials validated" # Get Ubuntu 24.04 LTS AMI for the region echo "[1/6] Finding Ubuntu 24.04 LTS AMI in $REGION..." AMI_ID=$(aws ec2 describe-images \ --region "$REGION" \ --owners 099720109477 \ --filters "Name=name,Values=ubuntu/images/hvm-ssd-gp3/ubuntu-noble-24.04-amd64-server-*" \ "Name=state,Values=available" \ --query 'Images | sort_by(@, &CreationDate) | [-1].ImageId' \ --output text) if [ -z "$AMI_ID" ] || [ "$AMI_ID" = "None" ]; then echo "⚠️ Ubuntu 24.04 not found, falling back to Ubuntu 22.04 LTS..." AMI_ID="ami-0866a3c8686eaeeba" # Ubuntu 22.04 LTS (us-east-1) fi echo "✅ Using AMI: $AMI_ID" # Create user data script for EC2 instance echo "[2/6] Preparing instance configuration..." USER_DATA=$(cat <<'USERDATA_EOF' #!/bin/bash set -e # Log everything exec > >(tee -a /var/log/resume-agent-setup.log) exec 2>&1 echo "==========================================" echo "Resume Agent Setup - $(date)" echo "==========================================" # Update system echo "[1/8] Updating system..." export DEBIAN_FRONTEND=noninteractive apt-get update -q apt-get install -y -q python3 python3-pip python3-venv git curl supervisor # Create application user echo "[2/8] Creating application user..." useradd -m -s /bin/bash resume || true cd /home/resume # Clone repositories echo "[3/8] Cloning repositories..." if [ ! -d "nest" ]; then sudo -u resume git clone https://github.com/projnanda/NEST.git nest fi if [ ! -d "resume-agent" ]; then sudo -u resume git clone https://github.com/vsiwach/MCP-Resume-AWS.git resume-agent fi # Setup Python virtual environment echo "[4/8] Setting up Python environment..." cd nest sudo -u resume python3 -m venv env sudo -u resume env/bin/pip install --upgrade pip setuptools wheel # Install NEST echo "[5/8] Installing NEST framework..." sudo -u resume env/bin/pip install -e . # Install resume agent dependencies (CPU-optimized) echo "[6/8] Installing torch CPU-only first..." cd /home/resume/resume-agent sudo -u resume /home/resume/nest/env/bin/pip install --index-url https://download.pytorch.org/whl/cpu torch==2.3.0 echo "[7/8] Installing resume agent dependencies (CPU-only, no CUDA)..." sudo -u resume /home/resume/nest/env/bin/pip install -r requirements.txt # Create data directory sudo -u resume mkdir -p data # Note about resume files cat > /home/resume/README_UPLOAD_RESUME.txt << 'README_EOF' ======================================== IMPORTANT: Upload Your Resume Files ======================================== To make the agent functional, you need to upload resume files: 1. SSH to this instance: ssh -i YOUR_KEY.pem ubuntu@PUBLIC_IP 2. Upload resume files: scp -i YOUR_KEY.pem resume.pdf ubuntu@PUBLIC_IP:/tmp/ 3. Move to data directory: sudo mv /tmp/resume.pdf /home/resume/resume-agent/data/ sudo chown resume:resume /home/resume/resume-agent/data/resume.pdf 4. Restart the agent: sudo supervisorctl restart resume-agent Supported formats: PDF, DOCX, TXT, MD README_EOF sudo chown resume:resume /home/resume/README_UPLOAD_RESUME.txt # Get public IP PUBLIC_IP=$(curl -s http://169.254.169.254/latest/meta-data/public-ipv4) # Configure environment echo "[8/9] Configuring environment..." cat > /home/resume/resume-agent/.env << ENV_EOF AGENT_ID=AGENT_ID_PLACEHOLDER PORT=PORT_PLACEHOLDER REGISTRY_URL=REGISTRY_URL_PLACEHOLDER PUBLIC_URL=http://${PUBLIC_IP}:PORT_PLACEHOLDER DATA_DIR=/home/resume/resume-agent/data ENV_EOF sudo chown resume:resume /home/resume/resume-agent/.env # Create supervisor configuration echo "[9/9] Configuring supervisor..." cat > /etc/supervisor/conf.d/resume-agent.conf << 'SUPERVISOR_EOF' [program:resume-agent] directory=/home/resume/resume-agent command=/home/resume/nest/env/bin/python nest_resume_agent.py user=resume autostart=true autorestart=true startretries=10 redirect_stderr=true stdout_logfile=/var/log/resume-agent.log stdout_logfile_maxbytes=10MB stdout_logfile_backups=3 environment=HOME="/home/resume",USER="resume" SUPERVISOR_EOF # Reload supervisor supervisorctl reread supervisorctl update # Wait a moment for service to start sleep 5 echo "" echo "==========================================" echo "✅ Resume Agent Deployment Complete!" echo "==========================================" echo "Agent URL: http://${PUBLIC_IP}:PORT_PLACEHOLDER/a2a" echo "" echo "⚠️ IMPORTANT: Upload resume files to activate the agent" echo " See: /home/resume/README_UPLOAD_RESUME.txt" echo "" echo "View logs: tail -f /var/log/resume-agent.log" echo "Check status: supervisorctl status resume-agent" echo "==========================================" USERDATA_EOF ) # Replace placeholders USER_DATA="${USER_DATA//AGENT_ID_PLACEHOLDER/$AGENT_ID}" USER_DATA="${USER_DATA//PORT_PLACEHOLDER/$PORT}" USER_DATA="${USER_DATA//REGISTRY_URL_PLACEHOLDER/$REGISTRY_URL}" # Launch EC2 instance echo "[3/6] Launching EC2 instance..." INSTANCE_ID=$(aws ec2 run-instances \ --image-id "$AMI_ID" \ --instance-type "$INSTANCE_TYPE" \ --key-name "$KEY_NAME" \ --security-group-ids "$SECURITY_GROUP" \ --block-device-mappings '[{"DeviceName":"/dev/sda1","Ebs":{"VolumeSize":20,"VolumeType":"gp3"}}]' \ --user-data "$USER_DATA" \ --region "$REGION" \ --tag-specifications "ResourceType=instance,Tags=[{Key=Name,Value=nest-resume-$AGENT_ID},{Key=Type,Value=NEST-Resume-Agent},{Key=Port,Value=$PORT}]" \ --query 'Instances[0].InstanceId' \ --output text) if [ -z "$INSTANCE_ID" ] || [ "$INSTANCE_ID" = "None" ]; then echo "❌ Failed to launch EC2 instance" exit 1 fi echo "✅ Instance created: $INSTANCE_ID" # Wait for instance to be running echo "[4/6] Waiting for instance to start (this may take 30-60 seconds)..." aws ec2 wait instance-running --instance-ids "$INSTANCE_ID" --region "$REGION" # Get public IP PUBLIC_IP=$(aws ec2 describe-instances \ --instance-ids "$INSTANCE_ID" \ --region "$REGION" \ --query 'Reservations[0].Instances[0].PublicIpAddress' \ --output text) echo "✅ Instance running at: $PUBLIC_IP" # Open port in security group echo "[5/6] Configuring security group..." aws ec2 authorize-security-group-ingress \ --group-id "$SECURITY_GROUP" \ --protocol tcp \ --port "$PORT" \ --cidr 0.0.0.0/0 \ --region "$REGION" 2>/dev/null && echo "✅ Port $PORT opened" || echo "ℹ️ Port $PORT already open" echo "[6/6] Finalizing deployment..." sleep 5 echo "" echo "===========================================================================" echo "✅ Deployment Complete!" echo "===========================================================================" echo "Instance ID: $INSTANCE_ID" echo "Public IP: $PUBLIC_IP" echo "Agent URL: http://$PUBLIC_IP:$PORT/a2a" echo "Agent ID: $AGENT_ID" echo "Registry: $REGISTRY_URL" echo "===========================================================================" echo "" echo "📋 Next Steps:" echo "===========================================================================" echo "" echo "1. Wait 2-3 minutes for setup to complete, then check status:" echo " ssh -i $KEY_NAME.pem ubuntu@$PUBLIC_IP" echo " sudo tail -f /var/log/resume-agent-setup.log" echo "" echo "2. ⚠️ UPLOAD RESUME FILES (Required for agent to work):" echo " scp -i $KEY_NAME.pem resume.pdf ubuntu@$PUBLIC_IP:/tmp/" echo " ssh -i $KEY_NAME.pem ubuntu@$PUBLIC_IP" echo " sudo mv /tmp/resume.pdf /home/resume/resume-agent/data/" echo " sudo chown resume:resume /home/resume/resume-agent/data/resume.pdf" echo " sudo supervisorctl restart resume-agent" echo "" echo "3. Check agent status:" echo " sudo supervisorctl status resume-agent" echo " sudo tail -f /var/log/resume-agent.log" echo "" echo "4. Test the agent:" echo " curl -X POST http://$PUBLIC_IP:$PORT/a2a \\" echo " -H 'Content-Type: application/json' \\" echo " -d '{\"content\":{\"text\":\"/info\",\"type\":\"text\"},\"role\":\"user\",\"conversation_id\":\"test\"}'" echo "" echo "===========================================================================" echo "💰 Cost Estimate: t3.small = ~\$0.02/hour (~\$15/month)" echo "🛑 To terminate: aws ec2 terminate-instances --instance-ids $INSTANCE_ID --region $REGION" echo "==========================================================================="