ai-sdk-development

Unify AI capabilities in Laravel with a single API for agents and tools.

1.5k|170|Updated Sep 25, 2024
One-click install
npx skills add https://github.com/relaticle/relaticle --skill ai-sdk-development-relaticle
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-sdk-development
Source: https://github.com/relaticle/relaticle/tree/main/.claude/skills/ai-sdk-development
Command: npx skills add https://github.com/relaticle/relaticle --skill ai-sdk-development-relaticle

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers often need to stitch together AI capabilities across multiple providers in Laravel, leading to fragmented tooling and inconsistent integrations. The Laravel AI SDK offers a unified API to streamline building, deploying, and managing AI-powered features such as agents, images, audio, transcripts, embeddings, and vector stores within a single framework.

Core Features & Use Cases

  • Unified API surface for agents, images, transcription, embeddings, vector stores, and file management
  • Provider-agnostic workflows with a Laravel-native experience
  • Use cases include building chatbots, automated agents, data enrichment, and automated workflows inside Laravel apps.

Quick Start

Install and initialize the Laravel AI SDK in your project, then create a basic agent to start prompting and processing responses.

Frequently Asked Questions about ai-sdk-development

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build AI agents in Laravel without stitching together multiple provider APIs?

You can build AI agents in Laravel using a unified API that standardizes provider integrations. The SDK applies a provider-namespace model and prompts-based workflows to manage chat, image generation, and automated agent features within a single framework.

Can I use a single Laravel AI SDK for both text embeddings and audio transcription?

Yes, a single Laravel AI SDK supports both text embeddings and audio transcription. It provides a unified API surface to process embeddings, generate transcripts, and manage files without needing separate provider-specific packages.

What is the best way to implement vector stores for AI workflows in a Laravel application?

The best way to implement vector stores in Laravel is using a provider-agnostic SDK that manages vector storage alongside embeddings. This approach ensures deterministic usage patterns and native Laravel integration for data enrichment workflows.

How do I set up a Laravel AI SDK to start processing prompts and generating responses?

To set up the Laravel AI SDK, install and initialize the package in your project, then create a basic agent. You can immediately start prompting and processing responses through the documented basics and artisan tooling.

Does the Laravel AI SDK support provider-agnostic workflows for chat and image generation?

Yes, the Laravel AI SDK supports provider-agnostic workflows for both chat and image generation. It enforces a provider-namespace model, allowing you to switch underlying AI providers while maintaining consistent, Laravel-native usage patterns.

Why do I need a provider-namespace model when adding AI features to Laravel?

A provider-namespace model is needed to prevent fragmented tooling and inconsistent integrations across multiple AI providers. It enforces deterministic usage patterns, ensuring that agents, tools, and AI-powered features operate reliably within Laravel.