Sign up to save tools and stay up to date with the latest in AI
bg
bg
1

GitHub - metaskills/experts: Experts.js is the easiest way to create and deploy OpenAI's Assistants and link them together as Tools to create advanced Multi AI Agent Systems with expanded memory and attention to detail.

May 18, 2024 - github.com
The article introduces Experts.js, a tool designed to simplify the use of OpenAI's new Assistants API. Experts.js allows the creation and deployment of OpenAI's Assistants and links them together as Tools to create a Panel of Experts system with expanded memory and attention to detail. It removes the complexity of managing Run objects and allows Assistants to be linked together as Tools. It also introduces Assistants as Tools, enabling the creation of Multi AI Agent Systems where each Tool is an LLM-backed Assistant that can take on specialized roles or fulfill complex tasks on behalf of their parent Assistant or Tool.

The article further explains how to install and use Experts.js, detailing the three main objects to import: Assistant, Tool, and Thread. It provides examples of how to create an Assistant, ask questions, add Tools, and manage threads. It also discusses advanced features, such as streaming and events, and how to control output. The article ends with examples of how to use Experts.js in different scenarios, such as a product catalog, streaming from Express, messages with images, vector store, and token usage metrics.

Key takeaways:

  • Experts.js is a tool that simplifies the usage of OpenAI's new Assistants API, allowing for the creation of Multi AI Agent Systems and managing complex tasks.
  • Assistants in Experts.js can be linked together as Tools, each taking on specialized roles or fulfilling complex tasks on behalf of their parent Assistant or Tool.
  • Experts.js supports the creation of Threads, which are managed context windows for your AI agents, and it automatically manages threads to avoid potential locking issues.
  • Examples of usage include product catalog management, streaming from Express, handling messages with images, using a Vector Store for file search, and reporting token usage metrics.
View Full Article

Comments (0)

Be the first to comment!