Vercel AI SDK Masterclass From Fundamentals to Deep Research
AI Summary
Building Agents with AI SDK
- Introduction
- Presenter: Nico, AI SDK Developer at Verscell.
- Overview of the session focused on building agents using the AI SDK.
- Setting Up the Project
- Clone the repository.
- Install dependencies and set environment variables.
- Main file:
index.ts. Run with:pmpp rundev.- Generate Text Function
- Basics of calling larger language models for text generation.
- Example: using GPT-4 Mini to generate response for a prompt.
- Unified interface allows easy switching between language models.
- Adding Tools for Web Access
- Introduce function calling for model interactions.
- Implement a basic tool to add two numbers.
- How to check if a model can answer specific prompts based on its capabilities.
- Multi-Step Agent Behavior
- Tools can be leveraged for more complex interactions (e.g., getting weather data).
- Discussion on handling tool calls and responses dynamically.
- Structured Outputs
- Definition of structured data in AI SDK and how to generate it effectively.
- Introduction to using Zod for schema validation.
- Deep Research Project Overview
- Aim: Building a deep research tool using AI SDK.
- Structure of workflow: Input prompts lead to multiple subqueries, conducting iterative searches.
- Implementing Recursive Queries
- Handle dynamic search queries leading to recursive information gathering.
- Use past results to inform current searches and avoid duplicates.
- Final Report Generation
- Synthesize findings into a markdown report.
- Need structured prompts to guide the model in generating the report effectively.
- Conclusion
- Summary of capabilities learned during the session.
- Encouragement to explore the SDK further for building diverse applications.