Call Model (Typescript)

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import { OpenRouter } from '@openrouter/agent';
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const openrouter = new OpenRouter({
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  apiKey: process.env.OPENROUTER_API_KEY,
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});
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const result = openrouter.callModel({
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  model: 'openai/gpt-5-nano',
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  input: 'What is the capital of France?',
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});
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// Get text (simplest pattern)
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const text = await result.getText();
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console.log(text); // "The capital of France is Paris."

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// Get just the text content
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const text = await result.getText();
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// Get the full response with usage data
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const response = await result.getResponse();
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console.log(response.usage); // { inputTokens, outputTokens, cachedTokens }

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// Stream text deltas
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for await (const delta of result.getTextStream()) {
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  process.stdout.write(delta);
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}
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// Stream reasoning (for reasoning models)
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for await (const delta of result.getReasoningStream()) {
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  console.log('Reasoning:', delta);
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}
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// Stream complete items by ID (recommended)
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for await (const item of result.getItemsStream()) {
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  console.log('Item update:', item.type, item.id);
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}
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// Stream all events (including tool preliminary results)
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for await (const event of result.getFullResponsesStream()) {
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  console.log('Event:', event.type);
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}

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// Get all tool calls from the response
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const toolCalls = await result.getToolCalls();
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// Stream tool calls as they complete
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for await (const toolCall of result.getToolCallsStream()) {
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  console.log(`Tool: ${toolCall.name}`, toolCall.arguments);
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}
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// Stream tool deltas and preliminary results
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for await (const event of result.getToolStream()) {
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  if (event.type === 'delta') {
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    process.stdout.write(event.content);
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  } else if (event.type === 'preliminary_result') {
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    console.log('Progress:', event.result);
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  }
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}

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// Simple string
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const result1 = openrouter.callModel({
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  model: 'openai/gpt-5-nano',
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  input: 'Hello!',
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});
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// Message array (OpenResponses format)
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const result2 = openrouter.callModel({
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  model: 'openai/gpt-5-nano',
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  input: [
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    { role: 'user', content: 'Hello!' },
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  ],
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});
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// With system instructions
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const result3 = openrouter.callModel({
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  model: 'openai/gpt-5-nano',
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  instructions: 'You are a helpful assistant.',
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  input: 'Hello!',
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});