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roanbrasil
/
devops-gitops-corpus

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url: "file:./.voltagent/memory.db",
logger: logger.child({ component: "libsql" }),
}),
});
// Create the supervisor agent with all subagents
const supervisorAgent = createSupervisorAgent(memory);
// Initialize VoltAgent with Instagram ad generation system using Gemini AI
new VoltAgent({
agents: {
InstagramAdSupervisor: supervisorAgent,
},
server: honoServer({
configureApp: (app) => {
app.use("/output/*", serveStatic({ root: "./" }));
},
}),
logger,
observability: new VoltAgentObservability({
storage: new LibSQLObservabilityAdapter({
url: "file:./.voltagent/observability.db",
}),
}),
});
```
</details>
**Components:**
**Memory System:**
- `LibSQLMemoryAdapter` for SQLite persistence
- 100-message limit per conversation
- Shared memory across agents
- Context retention for agent references
**Observability:**
- `LibSQLObservabilityAdapter` for trace logging
- VoltOps platform integration
- Agent interaction and tool execution tracking
- Decision path monitoring
**VoltAgent Core:**
- `InstagramAdSupervisor` as main orchestrator
- Automatic subagent management (LandingPageAnalyzer, InstagramAdCreator)
- Pino logger for structured logging
- End-to-end workflow execution
### Running the Agent
The agent handles Instagram ad generation via conversational interface.
![Application Architecture](https://cdn.voltagent.dev/examples/with-ad-generator/overall.png)
Usage:
#### Step 1: Connect to VoltOps
1. Start the server with `npm run dev`
2. Open [console.voltagent.dev](https://console.voltagent.dev)
3. Your local instance automatically connects
4. Select the `InstagramAdSupervisor` agent
#### Step 2: Generate an Ad
Provide a prompt like:
```
Go to https://www.amazon.com/Roku-Streaming-Stick-Plus-2025/dp/B0DXY833HV and extract brand information for Instagram ad
```
The supervisor will:
1. Analyze the landing page
2. Extract brand information
3. Capture screenshots
4. Generate creative brief
5. Create Instagram ad with Gemini
6. Return the ad with preview
### Next Steps
Potential enhancements:
1. **Multi-platform support**: Extend to Facebook, Twitter, LinkedIn ad formats
2. **A/B testing variations**: Generate multiple versions for testing
3. **Brand guidelines integration**: Load and apply specific brand rules
4. **Campaign management**: Track and organize multiple ad campaigns
5. **Performance analytics**: Integrate with ad platform APIs for metrics
6. **Template library**: Save successful ad templates for reuse
7. **Batch processing**: Generate ads for entire product catalogs
8. **Localization**: Create region-specific ad variations
9. **Video ad generation**: Extend to Instagram Reels and Stories
10. **Competitive analysis**: Compare generated ads with competitor campaigns
11. **Cost optimization**: Estimate and optimize ad spend recommendations
12. **Approval workflows**: Add review and approval stages before publishing