Multiple Agents

import { AgentBuilder } from "@anvia/core";
import { OpenAIClient } from "@anvia/openai";
import { Studio } from "@anvia/studio";

const client = new OpenAIClient({ apiKey });
const model = client.completionModel("gpt-5");

const supportAgent = new AgentBuilder("support-triage", model)
  .name("Support Triage")
  .description("Summarizes customer-facing support tickets.")
  .instructions("Return concise support summaries and next actions.")
  .build();

const engineeringAgent = new AgentBuilder("engineering-triage", model)
  .name("Engineering Triage")
  .description("Turns incidents into engineering diagnostics.")
  .instructions("Return concrete diagnostics, owners, and unknowns.")
  .build();

const commsAgent = new AgentBuilder("customer-comms", model)
  .name("Customer Comms")
  .description("Drafts customer updates for incidents.")
  .instructions("Avoid unverified root-cause claims.")
  .build();

new Studio([supportAgent, engineeringAgent, commsAgent]).start({
  port: 4021,
});

new Studio([supportAgent, engineeringAgent, commsAgent], {
  quickPrompts: {
    "support-triage": ["Summarize TICKET-1001 for the support lead."],
    "engineering-triage": ["Prepare diagnostics for a webhook retry incident."],
    "customer-comms": ["Draft a customer update for a degraded webhook incident."],
  },
}).start({ port: 4021 });

curl http://localhost:4021/agents

{
  "agents": [
    {
      "id": "support-triage",
      "name": "Support Triage",
      "quickPrompts": ["Summarize TICKET-1001 for the support lead."]
    }
  ]
}