Create an AI Research Assistant in 5 mins

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AI Summary

AI Research Assistant Creation Summary

• Introduction
  • Demonstration of creating an AI research assistant for analyzing GitHub repositories.
  • Real-time analysis capabilities including stats like stars, forks, and contributors.
• Demo Explanation
  • Invoking the assistant to analyze a specific repository (e.g., “super agent” repository).
  • Ability to ask various questions about the repository, such as programming languages used.
• Setup Process
  • Sign up for a Super Agent account and obtain API keys.
  • Set Super Agent and OpenAI API keys as secrets in Replit.
  • Run the Super Agent TypeScript client and initiate it.
• Agent Creation
  • Create an LLM with OpenAI API key.
  • Helper function to create a GitHub researcher agent with a simple prompt.
  • Attach a GPT-3.5 turbo model for efficiency and cost-effectiveness.
• Tool Creation
  • Create a browser tool with a description and attach it to the agent.
• Implementation
  • Main function runs the setup and agent creation.
  • chatWithAssistant function for interactive terminal sessions.
  • Invoke the agent with user input and output predictions.
• Code Adaptability
  • Code can be adapted for various environments and platforms.
  • Supports Python SDK, TypeScript SDK, Swift SDK, and REST API.
• Conclusion
  • Highlights the real-time and fast features of the browser API.
  • Encourages users to tweak and adapt the code for their needs.
• Final Note
  • No need for vector embeddings or maintaining vector databases due to the browser API’s real-time capabilities.
  • Wishes the audience happy coding.