supervaizer-controller

supervaize
2
SUPERVAIZER is a toolkit built for the age of AI interoperability. At its core, it implements Google's Agent-to-Agent (A2A) protocol, enabling seamless discovery and interaction between agents across different systems and platforms.

Overview

What is supervaizer-controller

supervaizer-controller is a Python toolkit designed for AI interoperability, implementing Google's Agent-to-Agent (A2A) protocol to facilitate seamless discovery and interaction between AI agents across various systems and platforms.

How to Use

To use supervaizer-controller, install it via Python package manager, register your AI agents, and utilize the provided API for job control, event handling, and telemetry to manage and connect your agents effectively.

Key Features

Key features include agent management, job control, event handling, telemetry monitoring, server communication, account management, and full support for the A2A protocol for interoperability.

Where to Use

supervaizer-controller can be used in various fields such as AI development, automation systems, multi-agent systems, and any environment requiring seamless interaction between different AI agents.

Use Cases

Use cases include building interconnected AI systems, managing agent workflows, monitoring agent performance, and integrating with other A2A-compatible tools for enhanced functionality.

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