Múltiples proveedores de IA

# Install the providers you need
npm install @ai-sdk/openai
npm install @ai-sdk/anthropic
npm install @ai-sdk/google
npm install @ai-sdk/mistral

# Or install multiple at once
npm install @ai-sdk/openai @ai-sdk/anthropic @ai-sdk/google

import { openai } from '@ai-sdk/openai';

// Uses OPENAI_API_KEY environment variable
const model = openai('gpt-4-turbo');

// Or configure manually
import { createOpenAI } from '@ai-sdk/openai';

const openaiClient = createOpenAI({
  apiKey: process.env.OPENAI_API_KEY,
  organization: 'org-...',  // optional
  baseURL: 'https://custom-endpoint.com/v1', // optional
});

const model = openaiClient('gpt-4-turbo');

import { anthropic } from '@ai-sdk/anthropic';

// Uses ANTHROPIC_API_KEY environment variable
const model = anthropic('claude-3-5-sonnet-20241022');

// Available models
const claude35Sonnet = anthropic('claude-3-5-sonnet-20241022');
const claude3Opus = anthropic('claude-3-opus-20240229');
const claude3Haiku = anthropic('claude-3-haiku-20240307');

import { google } from '@ai-sdk/google';

// Uses GOOGLE_GENERATIVE_AI_API_KEY environment variable
const model = google('gemini-1.5-pro');

// Available models
const geminiPro = google('gemini-1.5-pro');
const geminiFlash = google('gemini-1.5-flash');

import { mistral } from '@ai-sdk/mistral';

// Uses MISTRAL_API_KEY environment variable
const model = mistral('mistral-large-latest');

// Available models
const mistralLarge = mistral('mistral-large-latest');
const mistralMedium = mistral('mistral-medium-latest');
const mistralSmall = mistral('mistral-small-latest');

import { streamText } from 'ai';
import { openai } from '@ai-sdk/openai';
import { anthropic } from '@ai-sdk/anthropic';
import { google } from '@ai-sdk/google';

// Same interface for all providers
async function generateResponse(
  provider: 'openai' | 'anthropic' | 'google',
  messages: any[]
) {
  const models = {
    openai: openai('gpt-4-turbo'),
    anthropic: anthropic('claude-3-5-sonnet-20241022'),
    google: google('gemini-1.5-pro'),
  };

  const result = streamText({
    model: models[provider],
    messages,
  });

  return result.toDataStreamResponse();
}

// app/api/chat/route.ts
import { streamText } from 'ai';
import { openai } from '@ai-sdk/openai';
import { anthropic } from '@ai-sdk/anthropic';
import { google } from '@ai-sdk/google';

const providers = {
  'gpt-4-turbo': openai('gpt-4-turbo'),
  'gpt-3.5-turbo': openai('gpt-3.5-turbo'),
  'claude-3-5-sonnet': anthropic('claude-3-5-sonnet-20241022'),
  'claude-3-opus': anthropic('claude-3-opus-20240229'),
  'gemini-pro': google('gemini-1.5-pro'),
};

export async function POST(req: Request) {
  const { messages, model: modelId } = await req.json();

  const model = providers[modelId as keyof typeof providers];

  if (!model) {
    return new Response('Invalid model', { status: 400 });
  }

  const result = streamText({
    model,
    messages,
  });

  return result.toDataStreamResponse();
}

'use client';

import { useChat } from 'ai/react';
import { useState } from 'react';

const models = [
  { id: 'gpt-4-turbo', name: 'GPT-4 Turbo', provider: 'OpenAI' },
  { id: 'claude-3-5-sonnet', name: 'Claude 3.5 Sonnet', provider: 'Anthropic' },
  { id: 'gemini-pro', name: 'Gemini Pro', provider: 'Google' },
];

export default function Chat() {
  const [selectedModel, setSelectedModel] = useState(models[0].id);

  const { messages, input, handleInputChange, handleSubmit } = useChat({
    body: { model: selectedModel },
  });

  return (
    <div>
      <select
        value={selectedModel}
        onChange={(e) => setSelectedModel(e.target.value)}
        className="p-2 border rounded mb-4"
      >
        {models.map((model) => (
          <option key={model.id} value={model.id}>
            {model.name} ({model.provider})
          </option>
        ))}
      </select>

      {messages.map((m) => (
        <div key={m.id}>{m.content}</div>
      ))}

      <form onSubmit={handleSubmit}>
        <input value={input} onChange={handleInputChange} />
        <button type="submit">Send</button>
      </form>
    </div>
  );
}

# .env.local

# OpenAI
OPENAI_API_KEY=sk-...

# Anthropic
ANTHROPIC_API_KEY=sk-ant-...

# Google
GOOGLE_GENERATIVE_AI_API_KEY=...

# Mistral
MISTRAL_API_KEY=...

# Azure OpenAI (optional)
AZURE_OPENAI_API_KEY=...
AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com

// OpenAI with JSON mode
const result = streamText({
  model: openai('gpt-4-turbo'),
  messages,
  response_format: { type: 'json_object' },
});

// Anthropic with system prompt
const result = streamText({
  model: anthropic('claude-3-5-sonnet-20241022'),
  system: 'You are a helpful assistant.',
  messages,
});

// Google with safety settings
import { google } from '@ai-sdk/google';

const model = google('gemini-1.5-pro', {
  safetySettings: [
    {
      category: 'HARM_CATEGORY_HATE_SPEECH',
      threshold: 'BLOCK_LOW_AND_ABOVE',
    },
  ],
});

import { streamText } from 'ai';
import { openai } from '@ai-sdk/openai';
import { anthropic } from '@ai-sdk/anthropic';

async function generateWithFallback(messages: any[]) {
  const providers = [
    { model: openai('gpt-4-turbo'), name: 'OpenAI' },
    { model: anthropic('claude-3-5-sonnet-20241022'), name: 'Anthropic' },
  ];

  for (const provider of providers) {
    try {
      const result = streamText({
        model: provider.model,
        messages,
      });

      // Test if the stream starts successfully
      const response = result.toDataStreamResponse();
      return response;
    } catch (error) {
      console.error(`${provider.name} failed:`, error);
      // Continue to next provider
    }
  }

  throw new Error('All providers failed');
}

// Route requests based on complexity
function selectModel(message: string) {
  const isComplex = message.length > 500 ||
    message.includes('analyze') ||
    message.includes('explain in detail');

  if (isComplex) {
    // Use more capable model for complex queries
    return anthropic('claude-3-5-sonnet-20241022');
  }

  // Use faster, cheaper model for simple queries
  return openai('gpt-3.5-turbo');
}

export async function POST(req: Request) {
  const { messages } = await req.json();
  const lastMessage = messages[messages.length - 1].content;

  const result = streamText({
    model: selectModel(lastMessage),
    messages,
  });

  return result.toDataStreamResponse();
}