Descubre OpenAI AgentKit: la nueva plataforma para crear agentes de IA sin código, personalizar chatbots y automatizar tareas. ¡Explora cómo funciona!

What is OpenAI’s AgentKit? All About the New AI Agent Platform

Estimated reading time: 7 minutes

Key Points

  • AgentKit is OpenAI’s new platform for creating, testing, and deploying autonomous AI agents.
  • It offers visual, no-code, and programmatic tools for users of all skill levels (see source).
  • The Agent Builder is a drag-and-drop interface for easily creating workflows with multiple agents (source).
  • Thanks to the Connector Registry, APIs, databases, and external services integrate seamlessly.
  • With ChatKit, you can embed personalized smart chats in apps or websites.
  • The official SDK is available for Python and TypeScript (read more).
  • Currently, AgentKit is free, although some features are in beta (see details).

Introduction

Get ready for the latest news that is changing the world of Artificial Intelligence! OpenAI has recently launched a revolutionary platform, AgentKit. This new invention marks an extraordinary leap in facilitating agent IA, allowing both developers and non-technical people to create intelligent systems that reason, plan, and act autonomously. So if you’re familiar with openai agent kit, here you’ll discover all you need to get started.

Overview of AgentKit

AgentKit combines visual, no-code, and programmatic tools to help any user build multiple agent workflows, connect APIs, customize chat interfaces, and monitor the performance of their agents in production. According to Nadia Marketing, access is so easy that anyone can start in the world of autonomous IA (read more).

Key Components

  • Agent Builder: Visual drag & drop interface for designing flows, testing, and running agents without coding (discover how it works).
  • Connector Registry: Manages connections with APIs, databases, and external services, making it easy to integrate agents into real products (source).
  • ChatKit: Tool for embedding personalized agent chats in apps or websites, adapting the experience to each user (view demo).
  • Agents SDK: Available for Python and TypeScript for advanced and customized development (read more).
  • Guardrails & Evaluations: Integrated systems for overseeing agent security, reliability, and performance (go here).
  • Implementation and Monitoring: Tools to deploy your agents on your own infrastructure and monitor their performance (official platform).

User Experience

AgentKit is designed so that non-technical users can experiment fearlessly with agent IA (see real experience). The process for building a functional agent can take as little as 60 to 90 minutes, from scratch to working (tutorial here).

For developers, the SDK allows powerful integrations and direct deployments on their own infrastructure, enabling advanced logic and custom flows (details here).

Integration and Ecosystem

AgentKit is designed to leverage the OpenAI ecosystem, such as ChatGPT, GPT-4, and other models. Through the Connector Registry, the platform can interact with popular external services (including Canva).

Additionally, ChatKit enables any page or app to feature its own smart chat (example here).

Practical Use

  • Advanced automation of processes and repetitive tasks.
  • Creation of systems with multiple agents collaborating with each other.
  • Development of high-level customized chatbots.
  • Seamless integration with third-party APIs and services.
  • Real-time monitoring and optimization of agent performance.

Availability

Some features of AgentKit are already available to everyone, although the Agent Builder is still in beta. Current access is free, although OpenAI may add premium plans or paid tools soon (read more).

Comparison with Other Platforms

There is no other platform that combines a no-code visual editor, connection to native OpenAI models, options for deployment on own infrastructure, and automatic quality assessments like AgentKit.

Expert Comments

“AgentKit is OpenAI’s bet for the democratization of AI agent development, reducing barriers between no-code automation and advanced engineering.”
However, the platform is still evolving, so we are likely to see new changes, integrations, and eventually differentiated pricing in the coming months (check documentation).

References

Frequently Asked Questions