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@adaptive-llm/adaptive-ai-provider

v1.4.3

Published

Intelligent AI provider for [Vercel AI SDK v5](https://ai-sdk.dev/docs) with automatic model selection and V2 specification compliance.

Downloads

186

Readme

Adaptive AI Provider

Intelligent AI provider for Vercel AI SDK v5 with automatic model selection and V2 specification compliance.

Features

  • 🤖 Intelligent Model Selection - Automatically picks optimal models
  • 🧠 V2 Spec Compliant - Reasoning, file generation, enhanced usage tracking
  • 🔄 Multi-Provider - OpenAI, Anthropic, Google, DeepSeek, Groq, etc.
  • 🚀 Production Ready - TypeScript, full test coverage

Install

npm i @adaptive-llm/adaptive-ai-provider

Usage

import { adaptive } from '@adaptive-llm/adaptive-ai-provider';
import { generateText } from 'ai';

// Intelligent model selection
const { text } = await generateText({
  model: adaptive(),
  prompt: 'Explain quantum computing',
});

V2 Content Types

const { content, usage } = await generateText({
  model: adaptive(),
  prompt: 'Solve: 2x + 5 = 17',
});

// Access reasoning, files, tool calls
content.forEach((item) => {
  switch (item.type) {
    case 'text': console.log(item.text); break;
    case 'reasoning': console.log(item.text); break;
    case 'file': console.log(item.media_type, item.data); break;
    case 'tool-call': console.log(item.toolName, item.args); break;
  }
});

// Enhanced usage tracking
console.log({
  input: usage.inputTokens,
  output: usage.outputTokens,
  reasoning: usage.reasoningTokens,
  cached: usage.cachedInputTokens,
});

Streaming

const { fullStream } = streamText({
  model: adaptive(),
  prompt: 'Count to 10',
});

for await (const part of fullStream) {
  if (part.type === 'text') process.stdout.write(part.textDelta);
  if (part.type === 'reasoning') console.log('💭', part.text);
}

Tools

const { text } = await generateText({
  model: adaptive(),
  prompt: 'What is the weather in SF?',
  tools: {
    getWeather: {
      description: 'Get weather for location',
      parameters: {
        type: 'object',
        properties: { location: { type: 'string' } },
        required: ['location'],
      },
      execute: async ({ location }) => `Weather in ${location}: Sunny, 72°F`,
    },
  },
});

Configuration

import { createAdaptive } from '@adaptive-llm/adaptive-ai-provider';

const adaptive = createAdaptive({
  baseURL: 'https://your-api.com/v1',
  apiKey: 'your-key', // or ADAPTIVE_API_KEY env var
  headers: { 'Custom-Header': 'value' },
});

Multimodal

const { text } = await generateText({
  model: adaptive(),
  messages: [{
    role: 'user',
    content: [
      { type: 'text', text: 'Analyze this image' },
      { type: 'file', data: 'data:image/jpeg;base64,...', media_type: 'image/jpeg' },
    ],
  }],
});

Supported Features

  • ✅ Text, reasoning, file generation, tool calls
  • ✅ Streaming with all event types
  • ✅ Multimodal inputs (images, audio, PDFs)
  • ✅ Enhanced usage tracking
  • ✅ AI SDK standard error handling
  • ✅ Full TypeScript support

Error Handling

import { APICallError, TooManyRequestsError } from 'ai';

try {
  const result = await generateText({ model: adaptive(), prompt: 'Hello' });
} catch (error) {
  if (error instanceof TooManyRequestsError) {
    console.log('Rate limited, retry after:', error.retryAfter);
  }
}

Environment

export ADAPTIVE_API_KEY="your-api-key"