Agentic AI playground demonstrating Gemini + ADK integrations with AgentOps tracking, human approval flows, and evaluation experiments.

ADK Gemini AgentOps Playground

Overview

This repository serves as a playground for experimenting with agentic AI concepts using the ADK Gemini framework. It includes tools and examples for building, testing, and deploying agent-based systems.

Features

• Expense Management Automation: Automate expense approvals with AI.
• Human-in-the-Loop Approvals: Integrate human decision-making into automated workflows.
• Extensible Framework: Easily add new agent capabilities.

What is AgentOps?

AgentOps, short for Agent Operations, refers to the practice of managing, deploying, and optimizing agent-based systems. It focuses on ensuring that AI agents operate efficiently, reliably, and in alignment with organizational goals. This includes:

• Lifecycle Management: Managing the development, deployment, and retirement of AI agents.
• Monitoring and Optimization: Tracking agent performance and improving their decision-making capabilities.
• Human Collaboration: Integrating human oversight and decision-making into agent workflows.
• Scalability: Ensuring agents can handle increasing workloads and adapt to new tasks.

Capabilities of AgentOps

• Automation: Streamline repetitive tasks and processes using intelligent agents.
• Human-in-the-Loop: Combine the strengths of AI and human expertise for critical decision-making.
• Adaptability: Quickly adapt to new workflows and integrate with existing systems.
• Transparency: Provide clear insights into agent decisions and actions.
• Collaboration: Enable seamless interaction between multiple agents and human operators.

Getting Started

Prerequisites

• Python 3.12 or higher

Running the Project

1. Clone the repository:

   git clone https://github.com/divakarkumarp/adk-gemini-agentops-playground.git
   

2. Navigate to the project directory:

   cd adk-gemini-agentops-playground
   

3. • Install