xAI (Grok)

import { xai } from "@agentium/core";

const model = xai("grok-3");

import { Agent, xai } from "@agentium/core";

const agent = new Agent({
  name: "grok-agent",
  model: xai("grok-3"),
  instructions: "You are a witty and knowledgeable assistant.",
});

const result = await agent.run("What are the most promising breakthroughs in battery technology?");
console.log(result.text);

import { Agent, xai, defineTool } from "@agentium/core";
import { z } from "zod";

const agent = new Agent({
  name: "tool-agent",
  model: xai("grok-3"),
  tools: [
    defineTool({
      name: "getStockPrice",
      description: "Get current stock price",
      parameters: z.object({ symbol: z.string() }),
      execute: async ({ symbol }) => `${symbol}: $192.53 (+1.2%)`,
    }),
  ],
});

const result = await agent.run("What's Apple's current stock price?");
console.log(result.text);

import { Agent, xai, type ContentPart } from "@agentium/core";
import { readFileSync } from "node:fs";

const agent = new Agent({
  name: "vision-agent",
  model: xai("grok-2-vision"),
  instructions: "Analyze images in detail.",
});

const imageData = readFileSync("diagram.png").toString("base64");
const result = await agent.run([
  { type: "text", text: "Explain this architecture diagram." },
  { type: "image", data: imageData, mimeType: "image/png" },
] as ContentPart[]);
console.log(result.text);

import { Agent, xai, CostTracker, defineTool } from "@agentium/core";
import { z } from "zod";

const costTracker = new CostTracker({
  pricing: {
    "gpt-6.1-sol": { promptPer1k: 0.002, completionPer1k: 0.01 },
    "gpt-6-luna": { promptPer1k: 0.0001, completionPer1k: 0.0005 },
    "grok-3": { promptPer1k: 0.003, completionPer1k: 0.015 },
    "grok-3-mini": { promptPer1k: 0.0003, completionPer1k: 0.0005 },
  },
});

const agent = new Agent({
  name: "research-grok",
  model: xai("grok-3"),
  instructions: "You are a research assistant with access to tools.",
  tools: [
    defineTool({
      name: "search",
      description: "Search for information",
      parameters: z.object({ query: z.string() }),
      execute: async ({ query }) => `Results for "${query}": ...`,
    }),
  ],
  costTracker,
  maxToolRoundtrips: 5,
});

const result = await agent.run("Research the latest developments in quantum computing");
console.log(result.text);
console.log(`Cost: $${costTracker.getSummary().totalCost.toFixed(4)}`);

const agent = new Agent({
  model: xai("grok-4.5"),
  reasoning: { enabled: true, effort: "high" },
});