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Documentation Index

Fetch the complete documentation index at: https://veryfront.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

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Multi-agent

Agent composition, delegation, and agent-as-tool patterns. Each agent can omit model and inherit the runtime default, or set an explicit provider/model override when you need one.

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Prerequisites

  • At least two agents in agents/ (see Agents).
  • A configured provider (see Providers).

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Agent-as-tool

Convert an agent into a tool that another agent can call: 
// agents/researcher.ts
import { agent } from "veryfront/agent";

export default agent({
  id: "researcher",
  system: "Research topics thoroughly using web search.",
  tools: { webSearch: true },
  maxSteps: 5,
});

// agents/writer.ts
import { agent } from "veryfront/agent";

export default agent({
  id: "writer",
  system: "Write clear, well-structured articles.",
});

// agents/orchestrator.ts
import { agent, getAgentsAsTools } from "veryfront/agent";

export default agent({
  id: "orchestrator",
  system:
    "You coordinate research and writing. Use the researcher to gather facts, then the writer to produce the article.",
  tools: getAgentsAsTools({
    researcher: "Research a topic using web search",
    writer: "Write an article from research notes",
  }),
  maxSteps: 10,
});
getAgentsAsTools() wraps each agent as a tool. The orchestrator decides when to call each agent based on its system prompt. Each sub-agent runs its own tool loop independently.

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Invoke the orchestrator

Expose the orchestrator through an AG-UI route: 
// app/api/ag-ui/route.ts
import { createAgUiHandler } from "veryfront/agent";

export const POST = createAgUiHandler("orchestrator");
Run the dev server and ask for an output that requires delegation: 
curl -N http://localhost:3000/api/ag-ui \
  -H "Content-Type: application/json" \
  -d '{"messages":[{"id":"1","role":"user","parts":[{"type":"text","text":"Research Deno Deploy and write a short technical summary."}]}]}'
The orchestrator receives the user message, then calls researcher and writer as tools when the model decides they are needed.

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Single agent-as-tool

For wrapping a single agent: 
import { agentAsTool, getAgent } from "veryfront/agent";

const researcher = getAgent("researcher");
const researchTool = agentAsTool(researcher, "Research a topic using web search");

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Workflow-based composition

For deterministic multi-agent pipelines, use workflows: 
// workflows/article-pipeline.ts
import { parallel, step, workflow } from "veryfront/workflow";

export default workflow({
  id: "article-pipeline",
  steps: [
    step("research", { agent: "researcher" }),
    parallel("drafts", [
      step("draft-1", { agent: "writer", input: "Style: conversational" }),
      step("draft-2", { agent: "writer", input: "Style: technical" }),
    ]),
    step("select", { agent: "editor" }),
  ],
});
Start this workflow from an API route, task, or tool. The Workflows guide shows a copyable createWorkflowClient() start route.

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When to use which

PatternUse when
Agent-as-toolThe orchestrator decides dynamically which agents to call and in what order
WorkflowThe execution order is known in advance: sequential, parallel, or branching
Agent-as-tool is more flexible but harder to predict. Workflows are deterministic and easier to debug.

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Agent registry

All agents in agents/ are registered automatically. Access them programmatically: 
import { getAgent, getAllAgentIds } from "veryfront/agent";

const ids = getAllAgentIds(); // ["assistant", "researcher", "writer"]
const agent = getAgent("writer"); // Get a specific agent

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Verify it worked

After wiring delegation, run a request against the orchestrator and watch the dev-server logs: 
curl -N http://localhost:3000/api/ag-ui \
  -H "Content-Type: application/json" \
  -d '{"messages":[{"id":"1","role":"user","parts":[{"type":"text","text":"Research and summarise the latest npm release."}]}]}'
A working delegation:
  • Logs show the orchestrator calling each sub-agent in order.
  • The final AG-UI response contains output that could only come from the sub-agents (research output then writer output, for example).
For workflows, hit the workflow start route from Workflows and follow runId events instead.

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Next

  • Providers: configure OpenAI, Anthropic, and Google
  • Middleware: add auth and rate limiting to your agents