integración del marco de trabajo del agente de Microsoft

pip install copilot-sdk agent-framework-github-copilot

<!-- Maven -->
<!-- Set copilot.sdk.version to the version published in java/README.md / Maven Central -->
<dependency>
    <groupId>com.github</groupId>
    <artifactId>copilot-sdk-java</artifactId>
    <version>${copilot.sdk.version}</version>
</dependency>

from agent_framework.github import GitHubCopilotAgent

async def main():
    agent = GitHubCopilotAgent(
        default_options={
            "instructions": "You are a helpful coding assistant.",
        }
    )

    async with agent:
        result = await agent.run("Explain how dependency injection works in FastAPI")
        print(result)

import com.github.copilot.CopilotClient;
import com.github.copilot.rpc.*;

var client = new CopilotClient();
client.start().get();

var session = client.createSession(new SessionConfig()
    .setModel("gpt-4.1")
    .setOnPermissionRequest(PermissionHandler.APPROVE_ALL)
).get();

var response = session.sendAndWait(new MessageOptions()
    .setPrompt("Explain how dependency injection works in Spring Boot")).get();
System.out.println(response.getData().content());

client.stop().get();

from agent_framework.github import GitHubCopilotAgent

def get_weather(location: str) -> str:
    """Get the current weather for a given location."""
    return f"The weather in {location} is sunny with a high of 25°C."

async def main():
    agent = GitHubCopilotAgent(
        default_options={
            "instructions": "You are a helpful assistant with access to weather data.",
        },
        tools=[get_weather],
    )

    async with agent:
        result = await agent.run("What's the weather like in Seattle?")
        print(result)

import com.github.copilot.CopilotClient;
import com.github.copilot.rpc.*;
import java.util.List;
import java.util.Map;
import java.util.concurrent.CompletableFuture;

var getWeather = ToolDefinition.create(
    "GetWeather",
    "Get the current weather for a given location.",
    Map.of(
        "type", "object",
        "properties", Map.of(
            "location", Map.of("type", "string", "description", "City name")),
        "required", List.of("location")),
    invocation -> {
        var location = (String) invocation.getArguments().get("location");
        return CompletableFuture.completedFuture(
            "The weather in " + location + " is sunny, 25°C.");
    });

try (var client = new CopilotClient()) {
    client.start().get();

    var session = client.createSession(new SessionConfig()
        .setModel("gpt-4.1")
        .setTools(List.of(getWeather))
        .setOnPermissionRequest(PermissionHandler.APPROVE_ALL)
    ).get();

    session.sendAndWait(new MessageOptions()
        .setPrompt("What's the weather like in Seattle?")).get();
}

from agent_framework.github import GitHubCopilotAgent
from agent_framework.openai import OpenAIAgent
from agent_framework.orchestration import SequentialOrchestrator

async def main():
    # Copilot agent for code review
    reviewer = GitHubCopilotAgent(
        default_options={
            "instructions": "You review code for bugs, security issues, and best practices.",
        }
    )

    # OpenAI agent for documentation
    documentor = OpenAIAgent(
        model="gpt-4.1",
        instructions="You write clear, concise documentation for code changes.",
    )

    # Compose in a sequential pipeline
    pipeline = SequentialOrchestrator(agents=[reviewer, documentor])

    async with pipeline:
        result = await pipeline.run(
            "Review and document this PR: added retry logic to the HTTP client"
        )
        print(result)

import com.github.copilot.CopilotClient;
import com.github.copilot.rpc.*;

// Java uses the standard SDK directly — no MAF orchestrator needed
var client = new CopilotClient();
client.start().get();

// Step 1: Code review session
var reviewer = client.createSession(new SessionConfig()
    .setModel("gpt-4.1")
    .setOnPermissionRequest(PermissionHandler.APPROVE_ALL)
).get();

var review = reviewer.sendAndWait(new MessageOptions()
    .setPrompt("Review this PR for bugs, security issues, and best practices: "
        + "added retry logic to the HTTP client")).get();

// Step 2: Documentation session using review output
var documentor = client.createSession(new SessionConfig()
    .setModel("gpt-4.1")
    .setOnPermissionRequest(PermissionHandler.APPROVE_ALL)
).get();

var docs = documentor.sendAndWait(new MessageOptions()
    .setPrompt("Write documentation for these changes: " + review.getData().content())).get();
System.out.println(docs.getData().content());

client.stop().get();

import com.github.copilot.CopilotClient;
import com.github.copilot.rpc.*;
import java.util.concurrent.CompletableFuture;

// Java uses CompletableFuture for concurrent execution
var client = new CopilotClient();
client.start().get();

var securitySession = client.createSession(new SessionConfig()
    .setModel("gpt-4.1")
    .setOnPermissionRequest(PermissionHandler.APPROVE_ALL)
).get();

var perfSession = client.createSession(new SessionConfig()
    .setModel("gpt-4.1")
    .setOnPermissionRequest(PermissionHandler.APPROVE_ALL)
).get();

// Run both reviews concurrently
var securityFuture = securitySession.sendAndWait(new MessageOptions()
    .setPrompt("Focus on security vulnerabilities in this database query module"));
var perfFuture = perfSession.sendAndWait(new MessageOptions()
    .setPrompt("Focus on performance bottlenecks in this database query module"));

CompletableFuture.allOf(securityFuture, perfFuture).get();

System.out.println("Security: " + securityFuture.get().getData().content());
System.out.println("Performance: " + perfFuture.get().getData().content());

client.stop().get();

from agent_framework.github import GitHubCopilotAgent

async def main():
    agent = GitHubCopilotAgent(
        default_options={"streaming": True}
    )

    async with agent:
        async for chunk in agent.run_streaming("Write a quicksort in Python"):
            print(chunk, end="", flush=True)
        print()

import com.github.copilot.CopilotClient;
import com.github.copilot.rpc.*;

var client = new CopilotClient();
client.start().get();

var session = client.createSession(new SessionConfig()
    .setModel("gpt-4.1")
    .setStreaming(true)
    .setOnPermissionRequest(PermissionHandler.APPROVE_ALL)
).get();

session.on(AssistantMessageDeltaEvent.class, event -> {
    System.out.print(event.getData().deltaContent());
});

session.sendAndWait(new MessageOptions()
    .setPrompt("Write a quicksort implementation in Java")).get();
System.out.println();

client.stop().get();