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ββββββββββββββββββββββββββββββββββββββββββββ |
VOLTAGENT SERVER STARTED SUCCESSFULLY |
ββββββββββββββββββββββββββββββββββββββββββββ |
β HTTP Server: http://localhost:3141 |
VoltOps Platform: https://console.voltagent.dev |
ββββββββββββββββββββββββββββββββββββββββββββ |
[VoltAgent] All packages are up to date |
``` |
The [VoltOps Platform](https://console.voltagent.dev) provides debugging and interaction capabilities. |
 |
### Agent Architecture |
The system consists of three agents: |
1. **Supervisor Agent** - Orchestrates the entire workflow and coordinates subagents |
2. **Landing Page Analyzer** - Extracts brand information from websites |
3. **Ad Creator Agent** - Generates Instagram ads using Google Gemini |
VoltAgent agents are autonomous units that execute specific tasks. Each agent has defined responsibilities, tool access, memory persistence, and delegation capabilities. The framework supports multiple LLM providers and includes OpenTelemetry-based observability. |
 |
Agent specifications: |
### Landing Page Analyzer Agent |
Extracts brand information from websites: |
<details> |
<summary>Show landing-page-analyzer.agent.ts</summary> |
```typescript |
import { Agent } from "@voltagent/core"; |
import { openai } from "@ai-sdk/openai"; |
import { Memory } from "@voltagent/core"; |
import { pageNavigateTool } from "../tools/browserbase/page-navigate.tool"; |
import { pageExtractTool } from "../tools/browserbase/page-extract.tool"; |
import { pageObserveTool } from "../tools/browserbase/page-observe.tool"; |
import { screenshotTool } from "../tools/browserbase/screenshot.tool"; |
export const createLandingPageAnalyzer = (memory: Memory) => { |
return new Agent({ |
name: "LandingPageAnalyzer", |
purpose: "Analyze landing pages to extract brand information and marketing insights", |
instructions: `You are a landing page analysis expert specializing in extracting brand information for ad creation. |
Your primary responsibilities: |
1. Navigate to websites and extract comprehensive brand information |
2. Identify product names, taglines, and unique value propositions |
3. Understand target audience demographics and psychographics |
4. Analyze brand voice, tone, and visual style |
5. Capture screenshots for visual reference |
6. Extract key features, benefits, and differentiators |
When analyzing a landing page: |
- First navigate to the URL |
- Take a screenshot for visual reference |
- Extract structured data including: |
* Product/Service name |
* Main tagline or headline |
* Value propositions (primary and secondary) |
* Target audience characteristics |
* Brand personality and tone |
* Key features or benefits |
* Call-to-action messages |
* Color schemes and visual style notes |
- Observe important UI elements like hero sections, CTAs, and feature highlights |
Your analysis should be comprehensive enough to inform creative ad generation. |
Focus on understanding what makes the brand unique and how it positions itself. |
Output format should be structured JSON data that can be easily consumed by other agents.`, |
model: openai("gpt-4o-mini"), |
tools: [pageNavigateTool, pageExtractTool, pageObserveTool, screenshotTool], |
memory, |
}); |
}; |
``` |
</details> |
 |
Functionality: |
- Navigates to websites and analyzes content |
- Extracts product names, taglines, value propositions |
- Identifies target audience and brand attributes |
- Captures screenshots for reference |
- Outputs structured JSON data |
**Tool usage:** BrowserBase integration includes navigation (page loading), screenshot (visual capture), extraction (structured data), and observation (UI element analysis). |
### Instagram Ad Creator Agent |
Transforms brand data into Instagram ads via Google Gemini: |
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