module.exports = [
  {
    name: "openrouter",
    apiKey: process.env.OPENROUTER_API_KEY,
    model: "mistralai/devstral-2512:free",
    apiUrl: "https://openrouter.ai/api/v1"
  },
  {
    name: "openai",
    apiKey: process.env.OPENAI_API_KEY,
    model: "model",
    apiUrl: "https://api.openai.com/v1",
    circuitOptions: {
      timeout: 30000,           // 30 second timeout
      errorThresholdPercentage: 50, // Open after 50% failures
      resetTimeout: 300000      // Try again after 5 minutes
    }
  },
  {
    name: "openai-compatible-server",
    apiKey: [process.env.SERVER_API_KEY_1, process.env.SERVER_API_KEY_2],
    model: "name",
    apiUrl: "http://localhost:4000/v1" 
  }
  // Add more providers...
];

const AIRouter = require("unified-ai-router");
require("dotenv").config();

const providers = [
  {
    name: "openai",
    apiKey: process.env.OPENAI_API_KEY,
    model: "gpt-4",
    apiUrl: "https://api.openai.com/v1"
  }
];

const llm = new AIRouter(providers);

const messages = [
  { role: "system", content: "You are a helpful coding assistant." },
  { role: "user", content: "Write a function to reverse a string in JavaScript." }
];

const response = await llm.chatCompletion(messages, {
  temperature: 0.7,
  max_tokens: 500
});

console.log(response.content);

const stream = await llm.chatCompletion(messages, {
  temperature: 0.7,
  stream: true  // Enable streaming
});

for await (const chunk of stream) {
  if (chunk.content) {
    process.stdout.write(chunk.content);
  }
}

const tools = [
  {
    type: "function",
    function: {
      name: "get_weather",
      description: "Get current weather for a location",
      parameters: {
        type: "object",
        properties: {
          location: { type: "string", description: "City name" }
        }
      }
    }
  }
];

const response = await llm.chatCompletion(messages, {
  tools: tools,
  tool_choice: "auto"
});

console.log(response.tool_calls);

// Basic Responses API usage
const response = await llm.responses(
  "Tell me about artificial intelligence.",
  {
    temperature: 0.7,
    max_tokens: 500
  }
);

console.log(response.output_text);

const stream = await llm.responses(
  "Write a poem about coding.",
  {
    stream: true  // Enable streaming
  }
);

for await (const chunk of stream) {
  if (chunk.type === 'response.output_text.delta') {
    process.stdout.write(chunk.delta);
  }
}

const tools = [
  {
    type: "function",
    name: "multiply",
    description: "Multiply two numbers",
    parameters: {
      type: "object",
      properties: {
        a: { type: "number", description: "First number" },
        b: { type: "number", description: "Second number" }
      },
      required: ["a", "b"],
      additionalProperties: false
    }
  },
  {
    type: "function",
    name: "get_weather",
    description: "Get the current weather forecast for a given city.",
    parameters: {
      type: "object",
      properties: {
        city: { type: "string", description: "The name of the city to get the weather for." }
      },
      required: ["city"],
      additionalProperties: false
    }
  }
];

const response = await llm.responses(
  "How is the weather in Mashhad and Tehran? Use tools.",
  {
    tools: tools,
    temperature: 0.7
  }
);

console.log(response.output_text);
console.log(response.tool_calls);

const providers = [
  {
    name: "openai",
    apiKey: [  // Array of API keys
      process.env.OPENAI_API_KEY_1,
      process.env.OPENAI_API_KEY_2
    ],
    model: [  // Array of models
      "model_1",
      "model_2",
      "model_3"
    ],
    apiUrl: "https://api.openai.com/v1"
  }
];

const OpenAI = require("openai");
const client = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY
});

const response = await client.chat.completions.create({
  model: "gpt-4",
  messages: [{ role: "user", content: "Hello" }]
});

// ❌ No fallback - fails if OpenAI is down
// ❌ No circuit breaker - failures cascade
// ❌ No multi-provider support

const AIRouter = require("unified-ai-router");

const providers = [
  { name: "openai", apiKey: process.env.OPENAI_API_KEY, model: "gpt-4" },
  { name: "backup", apiKey: process.env.BACKUP_KEY, model: "claude-3" }
];

const llm = new AIRouter(providers);
const response = await llm.chatCompletion([{ role: "user", content: "Hello" }]);

// ✅ Automatic fallback if OpenAI fails
// ✅ Circuit breaker protection
// ✅ Multi-provider load balancing
// ✅ Same API interface as OpenAI
// ✅ Production-ready reliability