Adding Multi-Agent Orchestration to a Vercel AI SDK App

It looks like the code snippet you provided is for a web application that uses OpenAI's API and Next.js to create an interactive chat interface where users can submit research topics, and the system responds with detailed research outputs generated by multiple AI agents collaborating behind the scenes. Here’s a breakdown of the key components:

Backend (API) Code

1. Environment Variables: The script starts by importing environment variables using dotenv.
2. OpenAI API Integration: It imports necessary modules from OpenAI and Next.js.
3. Agent Definitions:
   • Defines two agents: Researcher for gathering information, and Writer for summarizing and presenting the research findings.
4. Team Collaboration Functionality:
   • The function research_team orchestrates collaboration between these agents to handle user inputs effectively.

Frontend (React) Code

1. Main Component: A React component that renders a chat interface where users can input their queries or topics for research.
2. Message Display: Displays messages from both the user and the system in a conversational format, distinguishing them by roles (user vs Research Team).
3. Form Handling:
   • Provides an interactive form to submit

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