Orquestração simultânea

A orquestração simultânea permite que vários agentes trabalhem na mesma tarefa em paralelo. Cada agente processa a entrada de forma independente, e seus resultados são coletados e agregados. Essa abordagem é adequada para cenários onde diversas perspetivas ou soluções são valiosas, como brainstorming, raciocínio conjunto ou sistemas de votação.

Para saber mais sobre o padrão, como quando usá-lo ou quando evitá-lo, consulte Orquestração simultânea.

Casos de uso comuns

Vários agentes geram soluções diferentes para um problema, e suas respostas são coletadas para análise ou seleção posterior:

O que você vai aprender

• Como definir vários agentes com diferentes conhecimentos
• Como orquestrar esses agentes para trabalhar simultaneamente em uma única tarefa
• Como recolher e processar os resultados

using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Agents;
using Microsoft.SemanticKernel.Agents.Orchestration;
using Microsoft.SemanticKernel.Agents.Orchestration.Concurrent;
using Microsoft.SemanticKernel.Agents.Runtime.InProcess;

// Create a kernel with an AI service
Kernel kernel = ...;

ChatCompletionAgent physicist = new ChatCompletionAgent{
    Name = "PhysicsExpert",
    Instructions = "You are an expert in physics. You answer questions from a physics perspective."
    Kernel = kernel,
};

ChatCompletionAgent chemist = new ChatCompletionAgent{
    Name = "ChemistryExpert",
    Instructions = "You are an expert in chemistry. You answer questions from a chemistry perspective."
    Kernel = kernel,
};

ConcurrentOrchestration orchestration = new (physicist, chemist);

InProcessRuntime runtime = new InProcessRuntime();
await runtime.StartAsync();

var result = await orchestration.InvokeAsync("What is temperature?", runtime);

string[] output = await result.GetValueAsync(TimeSpan.FromSeconds(20));
Console.WriteLine($"# RESULT:\n{string.Join("\n\n", output.Select(text => $"{text}"))}");

await runtime.RunUntilIdleAsync();

# RESULT:
Temperature is a fundamental physical quantity that measures the average kinetic energy ...

Temperature is a measure of the average kinetic energy of the particles ...

from semantic_kernel.agents import Agent, ChatCompletionAgent
from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion

def get_agents() -> list[Agent]:
    physics_agent = ChatCompletionAgent(
        name="PhysicsExpert",
        instructions="You are an expert in physics. You answer questions from a physics perspective.",
        service=AzureChatCompletion(),
    )
    chemistry_agent = ChatCompletionAgent(
        name="ChemistryExpert",
        instructions="You are an expert in chemistry. You answer questions from a chemistry perspective.",
        service=AzureChatCompletion(),
    )
    return [physics_agent, chemistry_agent]

from semantic_kernel.agents import ConcurrentOrchestration

agents = get_agents()
concurrent_orchestration = ConcurrentOrchestration(members=agents)

from semantic_kernel.agents.runtime import InProcessRuntime

runtime = InProcessRuntime()
runtime.start()

orchestration_result = await concurrent_orchestration.invoke(
    task="What is temperature?",
    runtime=runtime,
)

value = await orchestration_result.get(timeout=20)
# For the concurrent orchestration, the result is a list of chat messages
for item in value:
    print(f"# {item.name}: {item.content}")

await runtime.stop_when_idle()

# PhysicsExpert: Temperature is a physical quantity that represents the average kinetic energy of the particles in a substance...
# ChemistryExpert: Temperature is a fundamental concept in chemistry and physics, representing a measure of the average kinetic energy...

Próximos passos