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const cheapAgent = new Agent({ |
name: "Classifier", |
model: openai("gpt-4o-mini"), // Cheap model |
instructions: "Just determine the category", |
}); |
const expensiveAgent = new Agent({ |
name: "Complex Analyzer", |
model: openai("gpt-4o"), // Expensive model |
instructions: "Do detailed analysis", |
}); |
``` |
### 6. Maintenance & Debugging |
It's easier to discover problems in orchestration: |
- What all agents do is clearly defined |
- You can see which agent is at fault with VoltOps |
- Fixing one agent won't disrupt others |
- Tests are easier to write |
### 7. Real-World Business Alignment |
Orchestration is more suitable for actual business workflows: |
- Businesses have departments (sales, marketing, technical) |
- Every department has experts |
- Agents must work this way too |
- Business flows are easily represented |
## Orchestration Patterns |
### 1. Supervisor Pattern (Most Used) |
In this pattern, there's a "boss" agent, and other agents report to it. This is very simple in VoltAgent: |
<ZoomableMermaid chart={` |
graph TD |
A[User] --> B[Supervisor Agent] |
B --> C{Analyze Request} |
C --> D[Delegate to Research Agent] |
C --> E[Delegate to Writer Agent] |
C --> F[Delegate to Analysis Agent] |
D --> G[Research Agent] |
E --> H[Writer Agent] |
F --> I[Analysis Agent] |
G --> J[Research Results] |
H --> K[Written Content] |
I --> L[Analysis Results] |
J --> M[Supervisor Agent] |
K --> M |
L --> M |
M --> N[Coordinate & Combine] |
N --> O[Final Response] |
O --> A |
classDef user fill:#ecfdf5,stroke:#10b981,stroke-width:2px |
classDef supervisor fill:#059669,color:#ffffff |
classDef agent fill:#34d399,color:#000000 |
classDef result fill:#6ee7b7,color:#000000 |
classDef process fill:#10b981,color:#ffffff |
class A user |
class B,M supervisor |
class G,H,I agent |
class J,K,L result |
class C,D,E,F,N process |
class O user |
`} /> |
```ts |
import { Agent } from "@voltagent/core"; |
import { VercelAIProvider } from "@voltagent/vercel-ai"; |
import { openai } from "@ai-sdk/openai"; |
// Let's create expert agents |
const researchAgent = new Agent({ |
name: "Researcher", |
purpose: "Expert in collecting and analyzing data from the web", |
instructions: "You are a research expert. You collect detailed and accurate information.", |
llm: new VercelAIProvider(), |
model: openai("gpt-4o-mini"), |
}); |
const writerAgent = new Agent({ |
name: "Writer", |
purpose: "Professional content writing expert", |
instructions: "You are a writer. You write clear and effective texts.", |
llm: new VercelAIProvider(), |
model: openai("gpt-4o-mini"), |
}); |
// Supervisor agent |
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