text stringlengths 0 59.1k |
|---|
const supervisorAgent = new Agent({ |
name: "Project Manager", |
instructions: "You are a project manager who coordinates expert agents.", |
llm: new VercelAIProvider(), |
model: openai("gpt-4o"), |
subAgents: [researchAgent, writerAgent], // Add subagents |
supervisorConfig: { |
customGuidelines: [ |
"Always assign the right task to the right agent", |
"Check the outputs of agents", |
"Give clear and organized answers to the user", |
], |
}, |
}); |
// Usage |
const response = await supervisorAgent.generateText( |
"Can you write a comprehensive article about Bitcoin?" |
); |
``` |
In the following example, the supervisor automatically: |
1. Makes the Researcher research on Bitcoin |
2. Makes the Writer translate this research into an article |
3. Shows the result to the user |
### 2. Pipeline Pattern |
Sometimes agents need to be run in order. For example, in an e-commerce app: |
<ZoomableMermaid chart={` |
graph LR |
A[Product Data] --> B[Product Analyzer] |
B --> C[Analysis Results] |
C --> D[Price Optimizer] |
D --> E[Price Strategy] |
E --> F[Inventory Manager] |
F --> G[Stock Recommendations] |
G --> H[Final Product Setup] |
classDef input fill:#ecfdf5,stroke:#10b981,stroke-width:2px |
classDef agent fill:#059669,color:#ffffff |
classDef output fill:#6ee7b7,color:#000000 |
classDef final fill:#10b981,color:#ffffff |
class A input |
class B,D,F agent |
class C,E,G output |
class H final |
`} /> |
```ts |
// E-commerce pipeline example |
const productAnalyzer = new Agent({ |
name: "Product Analyzer", |
instructions: "Analyze and categorize product information", |
// ... configuration |
}); |
const priceOptimizer = new Agent({ |
name: "Price Optimizer", |
instructions: "Do competitive price analysis", |
// ... configuration |
}); |
const inventoryManager = new Agent({ |
name: "Inventory Manager", |
instructions: "Check inventory status and provide suggestions", |
// ... configuration |
}); |
``` |
## VoltAgent Orchestration Benefits |
### 1. TypeScript-First Development |
Although the Python community is the strongest, VoltAgent is highly pragmatic for JavaScript/TypeScript developers. Type safety is present, IDE support is excellent. |
### 2. Observability Built-In (VoltOps) |
One of the best problems is watching what agents are doing. With VoltOps, you see everything that is happening in terms of agent interactions: |
```ts |
const agent = new Agent({ |
// ... other configurations |
voltOpsClient: new VoltOpsClient({ |
publicKey: "your-public-key", |
secretKey: "your-secret-key", |
}), |
}); |
``` |
Which agent ran when, how long it took, what flow it ran - it's all on the dashboard. |
### 3. Modular Architecture |
You can even share tools with multiple agents: |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.