Does this skill support both Vitest and Jest?

Yes, the patterns provided are compatible with all major JavaScript testing frameworks including Vitest, Jest, and the native Node.js test runner.

Can I test streaming responses with this skill?

Absolutely. It provides specific templates for yielding text deltas and validating the finish reasons in streaming AI outputs.

Does it include tool calling tests?

Yes, it includes dedicated patterns for testing if tools are called with the correct parameters and verifying how your application handles tool execution results.

How does mocking help with API costs?

By using the included mock provider patterns, you can simulate AI responses locally without making calls to real LLM providers like OpenAI or Anthropic during every test run.

Vercel AI SDK Testing Patterns

Name: Vercel AI SDK Testing Patterns
Author: vanman2024

byvanman2024

Seguridad y Pruebas

Provides robust testing templates and mock provider implementations for Vercel AI SDK applications to ensure reliable AI integration.

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This skill simplifies the complex process of testing AI-driven applications by providing standardized patterns for mocking language models, verifying streaming responses, and validating tool calling logic. It equips developers with ready-to-use templates for unit, integration, and snapshot testing, ensuring high test coverage and reliable performance of Vercel AI SDK implementations without incurring unnecessary API costs during the development cycle.

Características Principales

Streaming response validation and text delta patterns
0 GitHub stars
Tool calling and execution test templates
Snapshot testing patterns for consistent AI outputs
Mock Language Model V1 implementations for isolated testing
Automated test suite scaffolding scripts

Casos de Uso

Mocking AI providers to avoid API costs during local development and CI/CD
Validating complex streaming logic in React or Node.js applications
Ensuring tool-calling functionality triggers correctly with expected parameters

Acerca de

Características Principales

Streaming response validation and text delta patterns
0 GitHub stars
Tool calling and execution test templates
Snapshot testing patterns for consistent AI outputs
Mock Language Model V1 implementations for isolated testing
Automated test suite scaffolding scripts

Casos de Uso

Mocking AI providers to avoid API costs during local development and CI/CD
Validating complex streaming logic in React or Node.js applications
Ensuring tool-calling functionality triggers correctly with expected parameters