Files
agent-framework/dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step25_WebSearch/Program.cs
T
Roger Barreto 8b69c2ea12 .NET: Add Foundry Agents Tool Sample - Web Search (#4040)
* .NET: Add Web Search sample #3674

* .NET: Fix WebSearch sample to use Responses API built-in web search

Remove incorrect Bing Grounding connection ID requirement from the
WebSearch sample. The web search tool uses the OpenAI Responses API
built-in capability and does not need a connection ID.

- Remove AZURE_FOUNDRY_BING_CONNECTION_ID env var requirement
- Use HostedWebSearchTool() without connectionId properties
- Refactor creation options into local functions (MEAI + NativeSDK)
- Switch from AzureCliCredential to DefaultAzureCredential
- Update README to reflect correct prerequisites

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix README to align DefaultAzureCredential docs with code

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review: add project to solution, README, simplify response text

- Add FoundryAgents_Step25_WebSearch to agent-framework-dotnet.slnx
- Add web search sample entry to parent FoundryAgents README.md
- Simplify text response extraction to use response.Text directly

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix merge conflict in slnx solution file

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-23 17:15:02 +00:00

66 lines
2.7 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to use the Responses API Web Search Tool with AI Agents.
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI.Responses;
string endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
const string AgentInstructions = "You are a helpful assistant that can search the web to find current information and answer questions accurately.";
const string AgentName = "WebSearchAgent";
// Get a client to create/retrieve/delete server side agents with Azure Foundry Agents.
AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
// Option 1 - Using HostedWebSearchTool (MEAI + AgentFramework)
AIAgent agent = await CreateAgentWithMEAIAsync();
// Option 2 - Using PromptAgentDefinition with the Responses API native type
// AIAgent agent = await CreateAgentWithNativeSDKAsync();
AgentResponse response = await agent.RunAsync("What's the weather today in Seattle?");
// Get the text response
Console.WriteLine($"Response: {response.Text}");
// Getting any annotations/citations generated by the web search tool
foreach (AIAnnotation annotation in response.Messages.SelectMany(m => m.Contents).SelectMany(c => c.Annotations ?? []))
{
Console.WriteLine($"Annotation: {annotation}");
if (annotation.RawRepresentation is UriCitationMessageAnnotation urlCitation)
{
Console.WriteLine($$"""
Title: {{urlCitation.Title}}
URL: {{urlCitation.Uri}}
""");
}
}
// Cleanup by agent name removes the agent version created.
await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);
// Creates the agent using the HostedWebSearchTool MEAI abstraction that maps to the built-in Responses API web search tool.
async Task<AIAgent> CreateAgentWithMEAIAsync()
=> await aiProjectClient.CreateAIAgentAsync(
name: AgentName,
model: deploymentName,
instructions: AgentInstructions,
tools: [new HostedWebSearchTool()]);
// Creates the agent using the PromptAgentDefinition with the Responses API native ResponseTool.CreateWebSearchTool().
async Task<AIAgent> CreateAgentWithNativeSDKAsync()
=> await aiProjectClient.CreateAIAgentAsync(
AgentName,
new AgentVersionCreationOptions(
new PromptAgentDefinition(model: deploymentName)
{
Instructions = AgentInstructions,
Tools = { ResponseTool.CreateWebSearchTool() }
}));