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This page provides an overview of all available examples in the Core AI repository. Each example is a complete, runnable TypeScript file that demonstrates specific features and use cases.

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Running Examples

All examples are located in the examples/ directory of the repository.

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Prerequisites

  • Node.js 18+
  • Dependencies installed from the repository root:
npm install

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Environment Variables

Create a .env file at the repository root: 
OPENAI_API_KEY=your_openai_api_key
ANTHROPIC_API_KEY=your_anthropic_api_key
GOOGLE_API_KEY=your_google_api_key
MISTRAL_API_KEY=your_mistral_api_key
You only need API keys for the providers you plan to use. Each example specifies which key it requires.

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Run an Example

From the repository root: 
npx tsx examples/01-chat-completion.ts

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Basic Features

Chat Completion

Basic generate() chat completion with OpenAI. Demonstrates the simplest way to get started with Core AI.

Streaming

Streaming output with stream() and toResponse(). Shows how to handle real-time text generation with event-based streaming.

Multi-Modal Input

Multi-modal input using text and image URLs. Demonstrates how to send images alongside text for vision-enabled models.

Error Handling

Handling LLMError and ProviderError. Shows proper error handling patterns for both local validation and provider errors.

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Advanced Features

Tool Calling

Tool definition and full tool-call round trip. Complete example of defining tools with Zod schemas and handling tool execution.

Embeddings

Embeddings with embed(). Shows how to generate vector embeddings for text using OpenAI’s embedding models.

Image Generation

Image generation with generateImage(). Demonstrates creating images from text prompts with configurable size options.

Structured Outputs

Typed structured output with generateObject(). Shows how to generate strongly-typed JSON objects validated with Zod schemas.

Streaming Objects

Streaming structured output with streamObject(). Demonstrates real-time streaming of structured JSON with incremental validation.

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Provider Examples

Core AI supports multiple AI providers with the same unified API.

Anthropic Provider

Using Anthropic (Claude) with the same generate() API. Shows how to switch providers while keeping the same code structure.

Google GenAI Provider

Using Google GenAI (Gemini) with the same generate() API. Demonstrates provider portability with Google’s models.

Mistral Provider

Using Mistral with the same generate() API. Shows how easily you can integrate Mistral’s models into your application.

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Example Categories

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1. Getting Started

Start with these examples if you’re new to Core AI:
  • 01-chat-completion.ts - Your first chat completion
  • 02-streaming.ts - Real-time streaming responses
  • 07-error-handling.ts - Proper error handling patterns

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2. Advanced Capabilities

Explore powerful features:
  • 03-tool-calling.ts - Enable models to call functions
  • 05-embeddings.ts - Generate vector embeddings
  • 06-image-generation.ts - Create images from text
  • 04-multi-modal.ts - Process text and images together

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3. Structured Data

Work with typed, validated outputs:
  • 11-generate-object.ts - Generate structured JSON
  • 12-stream-object.ts - Stream structured data

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4. Multi-Provider

Experience true provider portability:
  • 08-anthropic-provider.ts - Claude models
  • 09-google-genai-provider.ts - Gemini models
  • 10-mistral-provider.ts - Mistral models

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Next Steps

Guides

Read detailed guides for each feature

API Reference

Explore the complete API documentation

GitHub Repository

Browse the source code and examples

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