How does this skill handle API security?

It includes strict patterns for secure API key management, ensuring keys are provided via environment variables or configuration objects and validated before any API calls are executed.

Why should tools return both text and data in their responses?

Returning a text format allows the AI model to interpret the results immediately, while the structured data format allows developers to inspect and debug the raw output.

Which runtime is recommended for these AI SDK patterns?

These patterns are specifically designed for the Bun runtime (version 1.2.21 or higher) to ensure optimal performance and compatibility.

What is the primary purpose of the ai-sdk-plugin-patterns skill?

It provides standardized development patterns and best practices for building Vercel AI SDK plugins that integrate seamlessly with You.com's AI and search APIs.

Vercel AI SDK Plugin Patterns

Name: Vercel AI SDK Plugin Patterns
Author: youdotcom-oss

byyoudotcom-oss

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Desarrollo de API

Standardizes Vercel AI SDK plugin development with patterns for tool configuration, schema validation, and You.com API integration.

Acerca de

This skill provides a comprehensive framework for developers building or contributing to Vercel AI SDK plugins, specifically those utilizing You.com's search and AI capabilities. It streamlines the creation of native AI SDK tools by offering reusable patterns for Zod-based schema validation, secure API key management, and dual-format response handling—providing both model-friendly text and developer-friendly structured data. By establishing best practices for tool descriptions and execution logic, it ensures high-accuracy tool selection and reliable performance in AI-driven applications using the Bun runtime.

Características Principales

7 GitHub stars
Standardized tool() wrapper patterns for Vercel AI SDK
Secure API key management through config and environment variables
Optimized tool description patterns to improve model invocation accuracy
Zod-based input schema validation for You.com APIs
Dual-format response structures for both AI models and debugging

Casos de Uso

Implementing You.com search and content extraction tools into Vercel AI SDK projects
Debugging and standardizing API integration logic across complex AI workflows
Developing custom AI agents that require real-time web search capabilities

Acerca de

Características Principales

7 GitHub stars
Standardized tool() wrapper patterns for Vercel AI SDK
Secure API key management through config and environment variables
Optimized tool description patterns to improve model invocation accuracy
Zod-based input schema validation for You.com APIs
Dual-format response structures for both AI models and debugging

Casos de Uso

Implementing You.com search and content extraction tools into Vercel AI SDK projects
Debugging and standardizing API integration logic across complex AI workflows
Developing custom AI agents that require real-time web search capabilities