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Agents will be able to solve more difficult problems and make longer-term planning. |
**Enterprise Integration**: |
Easier integration with ERPs, CRMs, internal applications. |
## Build Your First Agent: Step by Step |
:::tip Practical Guide |
Now let's apply theory to practice. Let's build a simple but useful agent, you can build a working agent in 15 minutes by following these steps: |
::: |
**1. Setup** |
```bash |
npm create voltagent-app@latest my-first-agent |
cd my-first-agent |
npm install |
``` |
**2. Basic Agent** |
```tsx |
// src/agent.ts |
import { Agent } from "@voltagent/core"; |
import { VercelAIProvider } from "@voltagent/vercel-ai"; |
import { openai } from "@ai-sdk/openai"; |
export const myAgent = new Agent({ |
name: "My First Agent", |
instructions: ` |
You are a helpful assistant. For users: |
- Give clear and understandable answers |
- Explain with examples |
- If you don't know something, say you don't know |
`, |
llm: new VercelAIProvider(), |
model: openai("gpt-4o"), |
}); |
``` |
**3. Test It** |
```tsx |
// test.ts |
import { myAgent } from "./src/agent"; |
async function test() { |
const response = await myAgent.generateText("How can I filter arrays in JavaScript?"); |
console.log(response.text); |
} |
test(); |
``` |
That's it! Your first agent is now up and running. |
**4. Add Tools** |
Let's add a weather tool: |
```tsx |
import { createTool } from "@voltagent/core"; |
import { z } from "zod"; |
const weatherTool = createTool({ |
name: "get_weather", |
description: "Get weather for a city", |
parameters: z.object({ |
city: z.string(), |
}), |
execute: async ({ city }) => { |
// Simple mock data |
const weather = { |
"new york": "72°F, Sunny", |
chicago: "65°F, Cloudy", |
"los angeles": "78°F, Clear", |
}; |
return weather[city.toLowerCase()] || "Information not found"; |
}, |
}); |
// Add to agent |
export const myAgent = new Agent({ |
// ... previous config |
tools: [weatherTool], |
}); |
``` |
And that's it! You've got a functional agent in 15 minutes. Actual projects are more complex, but this is the general idea. |
## Final Words |
LLM agents are 2025's real game changer. Not just chatbots, but AI apps that can actually do _real work_. |
Tools like VoltAgent make this process _significantly_ simpler. Instead of coding from scratch, you can focus on the actual work. |
Start today. Make a basic agent, test it, learn. This technology is evolving very fast, and early birders will be the ones who benefit. Agents are not a fad, but the future of software development. |
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