mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>
This commit is contained in:
Roger Barreto
committed by
GitHub
Unverified
GitHub
parent
84849a24ca
commit
e3a5b915a6
@@ -185,6 +185,7 @@
|
||||
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step19_OpenAPITools/FoundryAgents_Step19_OpenAPITools.csproj" />
|
||||
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step21_BingCustomSearch/FoundryAgents_Step21_BingCustomSearch.csproj" />
|
||||
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step22_SharePoint/FoundryAgents_Step22_SharePoint.csproj" />
|
||||
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step23_MicrosoftFabric/FoundryAgents_Step23_MicrosoftFabric.csproj" />
|
||||
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step25_WebSearch/FoundryAgents_Step25_WebSearch.csproj" />
|
||||
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Step26_MemorySearch/FoundryAgents_Step26_MemorySearch.csproj" />
|
||||
<Project Path="samples/GettingStarted/FoundryAgents/FoundryAgents_Evaluations_Step01_RedTeaming/FoundryAgents_Evaluations_Step01_RedTeaming.csproj" />
|
||||
|
||||
+22
@@ -0,0 +1,22 @@
|
||||
<Project Sdk="Microsoft.NET.Sdk">
|
||||
|
||||
<PropertyGroup>
|
||||
<OutputType>Exe</OutputType>
|
||||
<TargetFrameworks>net10.0</TargetFrameworks>
|
||||
|
||||
<Nullable>enable</Nullable>
|
||||
<ImplicitUsings>enable</ImplicitUsings>
|
||||
<NoWarn>$(NoWarn);CA1812;CS8321</NoWarn>
|
||||
</PropertyGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<PackageReference Include="Microsoft.Extensions.Logging.Console" />
|
||||
<PackageReference Include="Azure.Identity" />
|
||||
<PackageReference Include="Azure.AI.Projects" />
|
||||
</ItemGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
|
||||
</ItemGroup>
|
||||
|
||||
</Project>
|
||||
+72
@@ -0,0 +1,72 @@
|
||||
// Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
// This sample shows how to use Microsoft Fabric Tool with AI Agents.
|
||||
|
||||
using Azure.AI.Projects;
|
||||
using Azure.AI.Projects.OpenAI;
|
||||
using Azure.Identity;
|
||||
using Microsoft.Agents.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";
|
||||
string fabricConnectionId = Environment.GetEnvironmentVariable("FABRIC_PROJECT_CONNECTION_ID") ?? throw new InvalidOperationException("FABRIC_PROJECT_CONNECTION_ID is not set.");
|
||||
|
||||
const string AgentInstructions = "You are a helpful assistant with access to Microsoft Fabric data. Answer questions based on data available through your Fabric connection.";
|
||||
|
||||
// Get a client to create/retrieve/delete server side agents with Azure Foundry Agents.
|
||||
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
|
||||
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
|
||||
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
|
||||
AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
|
||||
|
||||
// Configure Microsoft Fabric tool options with project connection
|
||||
var fabricToolOptions = new FabricDataAgentToolOptions();
|
||||
fabricToolOptions.ProjectConnections.Add(new ToolProjectConnection(fabricConnectionId));
|
||||
|
||||
AIAgent agent = await CreateAgentWithMEAIAsync();
|
||||
// AIAgent agent = await CreateAgentWithNativeSDKAsync();
|
||||
|
||||
Console.WriteLine($"Created agent: {agent.Name}");
|
||||
|
||||
// Run the agent with a sample query
|
||||
AgentResponse response = await agent.RunAsync("What data is available in the connected Fabric workspace?");
|
||||
|
||||
Console.WriteLine("\n=== Agent Response ===");
|
||||
foreach (var message in response.Messages)
|
||||
{
|
||||
Console.WriteLine(message.Text);
|
||||
}
|
||||
|
||||
// Cleanup by deleting the agent
|
||||
await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);
|
||||
Console.WriteLine($"\nDeleted agent: {agent.Name}");
|
||||
|
||||
// --- Agent Creation Options ---
|
||||
|
||||
// Option 1 - Using AsAITool wrapping for the ResponseTool returned by AgentTool.CreateMicrosoftFabricTool (MEAI + AgentFramework)
|
||||
async Task<AIAgent> CreateAgentWithMEAIAsync()
|
||||
{
|
||||
return await aiProjectClient.CreateAIAgentAsync(
|
||||
model: deploymentName,
|
||||
name: "FabricAgent-MEAI",
|
||||
instructions: AgentInstructions,
|
||||
tools: [((ResponseTool)AgentTool.CreateMicrosoftFabricTool(fabricToolOptions)).AsAITool()]);
|
||||
}
|
||||
|
||||
// Option 2 - Using PromptAgentDefinition with AgentTool.CreateMicrosoftFabricTool (Native SDK)
|
||||
async Task<AIAgent> CreateAgentWithNativeSDKAsync()
|
||||
{
|
||||
return await aiProjectClient.CreateAIAgentAsync(
|
||||
name: "FabricAgent-NATIVE",
|
||||
creationOptions: new AgentVersionCreationOptions(
|
||||
new PromptAgentDefinition(model: deploymentName)
|
||||
{
|
||||
Instructions = AgentInstructions,
|
||||
Tools =
|
||||
{
|
||||
AgentTool.CreateMicrosoftFabricTool(fabricToolOptions),
|
||||
}
|
||||
})
|
||||
);
|
||||
}
|
||||
+57
@@ -0,0 +1,57 @@
|
||||
# Using Microsoft Fabric Tool with AI Agents
|
||||
|
||||
This sample demonstrates how to use the Microsoft Fabric tool with AI Agents, allowing agents to query and interact with data in Microsoft Fabric workspaces.
|
||||
|
||||
## What this sample demonstrates
|
||||
|
||||
- Creating agents with Microsoft Fabric data access capabilities
|
||||
- Using FabricDataAgentToolOptions to configure Fabric connections
|
||||
- Two agent creation approaches: MEAI abstraction (Option 1) and Native SDK (Option 2)
|
||||
- Managing agent lifecycle (creation and deletion)
|
||||
|
||||
## Agent creation options
|
||||
|
||||
This sample provides two approaches for creating agents with Microsoft Fabric:
|
||||
|
||||
- **Option 1 - MEAI + AgentFramework**: Uses the Agent Framework `ResponseTool` wrapped with `AsAITool()` to call the `CreateAIAgentAsync` overload that accepts `tools:[]`, while still relying on the same underlying Azure AI Projects SDK types as Option 2.
|
||||
- **Option 2 - Native SDK**: Uses `PromptAgentDefinition` with `AgentVersionCreationOptions` to create the agent directly with the Azure AI Projects SDK types.
|
||||
|
||||
Both options produce the same result. Toggle between them by commenting/uncommenting the corresponding `CreateAgentWith*Async` call in `Program.cs`.
|
||||
|
||||
## Prerequisites
|
||||
|
||||
Before you begin, ensure you have the following prerequisites:
|
||||
|
||||
- .NET 10 SDK or later
|
||||
- Azure Foundry service endpoint and deployment configured
|
||||
- Azure CLI installed and authenticated (for Azure credential authentication)
|
||||
- A Microsoft Fabric workspace with a configured project connection in Azure Foundry
|
||||
|
||||
**Note**: This demo uses Azure Default credentials for authentication. Make sure you're logged in with `az login` and have access to the Azure Foundry resource.
|
||||
|
||||
Set the following environment variables:
|
||||
|
||||
```powershell
|
||||
$env:AZURE_FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
|
||||
$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o-mini" # Optional, defaults to gpt-4o-mini
|
||||
$env:FABRIC_PROJECT_CONNECTION_ID="your-fabric-connection-id" # The Fabric project connection ID from Azure Foundry
|
||||
```
|
||||
|
||||
## Run the sample
|
||||
|
||||
Navigate to the FoundryAgents sample directory and run:
|
||||
|
||||
```powershell
|
||||
cd dotnet/samples/GettingStarted/FoundryAgents
|
||||
dotnet run --project .\FoundryAgents_Step23_MicrosoftFabric
|
||||
```
|
||||
|
||||
## Expected behavior
|
||||
|
||||
The sample will:
|
||||
|
||||
1. Create an agent with Microsoft Fabric tool capabilities
|
||||
2. Configure the agent with a Fabric project connection
|
||||
3. Run the agent with a query about available Fabric data
|
||||
4. Display the agent's response
|
||||
5. Clean up resources by deleting the agent
|
||||
@@ -60,6 +60,7 @@ Before you begin, ensure you have the following prerequisites:
|
||||
|[Computer use](./FoundryAgents_Step15_ComputerUse/)|This sample demonstrates how to use computer use capabilities with a Foundry agent|
|
||||
|[Bing Custom Search](./FoundryAgents_Step21_BingCustomSearch/)|This sample demonstrates how to use Bing Custom Search tool with a Foundry agent|
|
||||
|[SharePoint grounding](./FoundryAgents_Step22_SharePoint/)|This sample demonstrates how to use the SharePoint grounding tool with a Foundry agent|
|
||||
|[Microsoft Fabric](./FoundryAgents_Step23_MicrosoftFabric/)|This sample demonstrates how to use Microsoft Fabric tool with a Foundry agent|
|
||||
|[Web search](./FoundryAgents_Step25_WebSearch/)|This sample demonstrates how to use the Responses API web search tool with a Foundry agent|
|
||||
|[Memory search](./FoundryAgents_Step26_MemorySearch/)|This sample demonstrates how to use memory search tool with a Foundry agent|
|
||||
|[File search](./FoundryAgents_Step18_FileSearch/)|This sample demonstrates how to use the file search tool with a Foundry agent|
|
||||
|
||||
Reference in New Issue
Block a user