Web Search

Pencarian Web memungkinkan agen mencari web untuk informasi up-to-tanggal. Alat ini memungkinkan agen menjawab pertanyaan tentang peristiwa saat ini, menemukan dokumentasi, dan mengakses informasi di luar data pelatihan mereka.

Nota

Ketersediaan Pencarian Web bergantung pada penyedia agen yang mendasar. Lihat Gambaran Umum Penyedia untuk dukungan khusus penyedia.

Contoh berikut menunjukkan cara membuat agen dengan alat Pencarian Web:

using System;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;

// Requires: dotnet add package Microsoft.Agents.AI.OpenAI --prerelease
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";

// Create an agent with the web search (Bing grounding) tool
AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
    .GetChatClient(deploymentName)
    .AsAIAgent(
        instructions: "You are a helpful assistant that can search the web for current information.",
        tools: [new WebSearchToolDefinition()]);

Console.WriteLine(await agent.RunAsync("What is the current weather in Seattle?"));

Contoh berikut menunjukkan cara membuat agen dengan alat Pencarian Web:

# Copyright (c) Microsoft. All rights reserved.

import asyncio

from agent_framework import Agent
from agent_framework.openai import OpenAIResponsesClient

"""
OpenAI Responses Client with Web Search Example

This sample demonstrates using get_web_search_tool() with OpenAI Responses Client
for direct real-time information retrieval and current data access.
"""


async def main() -> None:
    client = OpenAIResponsesClient()

    # Create web search tool with location context
    web_search_tool = client.get_web_search_tool(
        user_location={"city": "Seattle", "region": "US"},
    )

    agent = Agent(
        client=client,
        instructions="You are a helpful assistant that can search the web for current information.",
        tools=[web_search_tool],
    )

    message = "What is the current weather? Do not ask for my current location."
    stream = False
    print(f"User: {message}")

    if stream:
        print("Assistant: ", end="")
        async for chunk in agent.run(message, stream=True):
            if chunk.text:
                print(chunk.text, end="")
        print("")
    else:
        response = await agent.run(message)
        print(f"Assistant: {response}")


if __name__ == "__main__":
    asyncio.run(main())

Langkah selanjutnya

Alat MCP yang Dihosting