Dynamic Support Triage

ticket ──▶ AutoAgentBuilder ──▶ roster for THIS ticket
                                    │
                                    ▼
                            ConcurrentWorkflow
                                    │
                                    ▼
                            triage assessment

# Every ticket sees a billing agent, even a security report
agents = [billing_agent, technical_agent, account_agent]

from swarms import AutoAgentBuilder, ConcurrentWorkflow


def triage(ticket: str, num_specialists: int = 3) -> str:
    """Design specialists for this specific ticket, then run them in parallel."""
    agents = AutoAgentBuilder(
        model_name="gpt-5.4",
        num_agents=num_specialists,
        agent_kwargs={"max_loops": 1},
    ).run(
        f"Triage this customer support ticket. Identify the root cause, "
        f"severity, and recommended next action.\n\nTicket:\n{ticket}"
    )

    print(f"Assembled {len(agents)} specialists:")
    for agent in agents:
        print(f"  - {agent.agent_name}")

    return ConcurrentWorkflow(agents=agents).run(ticket)

SEVERITY_TO_TEAM_SIZE = {
    "low": 1,
    "medium": 3,
    "high": 5,
}


def triage_by_severity(ticket: str, severity: str) -> str:
    return triage(ticket, num_specialists=SEVERITY_TO_TEAM_SIZE[severity])

from dotenv import load_dotenv

from swarms import AutoAgentBuilder, ConcurrentWorkflow

load_dotenv()

TICKETS = [
    (
        "high",
        "Our production API has been returning 503s for 40 minutes. "
        "We are on the enterprise plan with a 99.9% SLA. Three of our "
        "own customers have escalated. We need an RCA and credit terms.",
    ),
    (
        "low",
        "I can't find where to update the credit card on my account.",
    ),
]

SEVERITY_TO_TEAM_SIZE = {"low": 1, "medium": 3, "high": 5}


def triage(ticket: str, num_specialists: int) -> str:
    agents = AutoAgentBuilder(
        model_name="gpt-5.4",
        num_agents=num_specialists,
        agent_kwargs={"max_loops": 1},
    ).run(
        f"Triage this customer support ticket. Identify the root cause, "
        f"severity, and recommended next action.\n\nTicket:\n{ticket}"
    )

    print(f"\nAssembled {len(agents)} specialists:")
    for agent in agents:
        print(f"  - {agent.agent_name}: {agent.agent_description}")

    return ConcurrentWorkflow(agents=agents).run(ticket)


for severity, ticket in TICKETS:
    print(f"\n{'=' * 60}\n{severity.upper()} — {ticket[:60]}...\n{'=' * 60}")
    print(triage(ticket, SEVERITY_TO_TEAM_SIZE[severity]))

AutoAgentBuilder(model_name="gpt-5.4-mini", num_agents=3)

from swarms import AUTO_AGENT_BUILDER_SYSTEM_PROMPT

BUDGET_PROMPT = AUTO_AGENT_BUILDER_SYSTEM_PROMPT + """

ADDITIONAL CONSTRAINT:
Every agent must use model_name "gpt-5.4-mini" regardless of workload.
"""

AutoAgentBuilder(system_prompt=BUDGET_PROMPT, num_agents=3)