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Production-ready AI agent system using Google Cloud Vertex AI Agent Engine with scalable deployment and management capabilities.

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amanmogal/vertex-ai-agent-system

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Agent System Project

A production-ready AI agent system built with Google Cloud's Vertex AI Agent Engine. This project demonstrates deploying and managing AI agents at scale using Google Cloud infrastructure.

🚀 Features

  • Fully managed AI agent deployment
  • Scalable cloud infrastructure
  • Session management and persistence
  • Secure authentication via Google Cloud IAM
  • Professional monitoring and logging
  • REST API endpoints for agent interaction

📋 Prerequisites

  • Python 3.9+
  • Poetry for dependency management
  • Google Cloud CLI
  • Google Cloud project with Agent Engine API enabled
  • Proper IAM permissions

🛠️ Installation

# Clone the repository
git clone [your-repo-url]
cd agent-system

# Install dependencies
poetry install

# Configure Google Cloud
gcloud auth login
gcloud config set project agent-101-457716

🔧 Configuration

Set up your environment variables:

GOOGLE_CLOUD_PROJECT=agent-101-457716
GOOGLE_CLOUD_LOCATION=us-central1
GOOGLE_CLOUD_STAGING_BUCKET=agent-101-staging

📦 Deployment

Deploy your agent to Agent Engine:

poetry run python deployment/remote.py --create

🔌 Usage

Create a Session

poetry run python deployment/remote.py --create_session --resource_id=687792901685510144

Send Messages

poetry run python deployment/remote.py --send \
    --resource_id=687792901685510144 \
    --session_id=YOUR_SESSION_ID \
    --message="Your message here"

🏗️ Project Structure

agent-system/
├── deployment/
│   ├── remote.py      # Deployment management
│   └── utils.py       # Utility functions
├── agent/
│   ├── core.py        # Core agent logic
│   └── tools.py       # Agent tools
├── tests/             # Test suite
├── poetry.lock        # Lock file
└── pyproject.toml     # Project configuration

📊 Monitoring

Monitor your agent through Google Cloud Console:

  • Cloud Monitoring for metrics
  • Cloud Logging for logs
  • Cloud Trace for performance analysis

🔑 Security

  • Authentication via Google Cloud IAM
  • Encrypted communication
  • Secure session management
  • Rate limiting and quota management

📝 License

[Your chosen license]

🤝 Contributing

[Your contribution guidelines]

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Production-ready AI agent system using Google Cloud Vertex AI Agent Engine with scalable deployment and management capabilities.

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