adk-gemini-agentops-playground

# 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.

<img src="img\agentops_ss.png" width="100%">

## Getting Started

### Prerequisites
- Python 3.12 or higher

### Running the Project
1. Clone the repository:
   ```bash
   git clone https://github.com/divakarkumarp/adk-gemini-agentops-playground.git
   ```
2. Navigate to the project directory:
   ```bash
   cd adk-gemini-agentops-playground
   ```
3. - Install