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