Synaptic-Labs-AI

LLM Adapter Kit — AI skill for Claude Code

AI community

A universal TypeScript library for interacting with multiple LLM providers through a unified interface.

How to install LLM Adapter Kit

This entry records only its repository, not the path inside it, so there is no exact command to give. Open Synaptic-Labs-AI/llm-adapter-kit and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What LLM Adapter Kit does

A universal TypeScript library for interacting with multiple LLM providers through a unified interface. Supports 600+ models across 8 major providers with built-in cost calculation, streaming, and adv

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README

LLM Adapter Kit

🚀 Features

Universal Interface: Single API for all LLM providers
8 Major Providers: OpenAI, Anthropic, Google, Mistral, Groq, OpenRouter, Requesty, Perplexity
600+ Models: Access to the latest models including GPT-4o, Claude 4, Gemini 2.5, Sonar
Cost Tracking: Built-in token counting and cost calculation
Streaming Support: Real-time response streaming
Advanced Features: Function calling, JSON mode, vision support
TypeScript First: Full type safety and IntelliSense support
Comprehensive Testing: Extensive test suite with real API validation

📦 Installation

npm install llm-adapter-kit

🔑 Setup

Copy the environment file:

cp .env.example .env

Add your API keys to .env:

# Required: At least one provider
OPENAI_API_KEY=sk-...
ANTHROPIC_API_KEY=sk-ant-...
GOOGLE_API_KEY=AIza...
MISTRAL_API_KEY=...

# Optional: Multi-provider aggregators
OPENROUTER_API_KEY=sk-or-...  # 400+ models
REQUESTY_API_KEY=...          # 150+ models
PERPLEXITY_API_KEY=pplx-...   # Web search & reasoning

🎯 Quick Start

import { OpenAIAdapter, AnthropicAdapter, GoogleAdapter, GroqAdapter, PerplexityAdapter } from 'llm-adapter-kit';

// Initialize adapters
const openai = new OpenAIAdapter();
const claude = new AnthropicAdapter();
const gemini = new GoogleAdapter();
const groq = new GroqAdapter();
const perplexity = new PerplexityAdapter();

// Basic text generation
const response = await openai.generate('Write a haiku about coding');
console.log(response.text);

// With options
const jsonResponse = await claude.generate('Return user data as JSON', {
  maxTokens: 100,
  temperature: 0.7,
  jsonMode: true
});

// Streaming
await gemini.generateStre