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// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using System.Threading.Tasks;
using Azure.AI.Projects.OpenAI;
using Microsoft.Extensions.Configuration;
namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
internal abstract class AgentProvider(IConfiguration configuration)
{
public static class Names
{
public const string FunctionTool = "FUNCTIONTOOL";
public const string Marketing = "MARKETING";
public const string MathChat = "MATHCHAT";
public const string InputArguments = "INPUTARGUMENTS";
public const string Vision = "VISION";
}
public static class Settings
{
public const string FoundryEndpoint = "FOUNDRY_PROJECT_ENDPOINT";
public const string FoundryModelMini = "FOUNDRY_MODEL_DEPLOYMENT_NAME";
public const string FoundryModelFull = "FOUNDRY_MEDIA_DEPLOYMENT_NAME";
public const string FoundryGroundingTool = "FOUNDRY_CONNECTION_GROUNDING_TOOL";
}
public static AgentProvider Create(IConfiguration configuration, string providerType) =>
providerType.ToUpperInvariant() switch
{
Names.FunctionTool => new FunctionToolAgentProvider(configuration),
Names.Marketing => new MarketingAgentProvider(configuration),
Names.MathChat => new MathChatAgentProvider(configuration),
Names.InputArguments => new PoemAgentProvider(configuration),
Names.Vision => new VisionAgentProvider(configuration),
_ => new TestAgentProvider(configuration),
};
public async ValueTask CreateAgentsAsync()
{
Uri foundryEndpoint = new(this.GetSetting(Settings.FoundryEndpoint));
await foreach (AgentVersion agent in this.CreateAgentsAsync(foundryEndpoint))
{
Console.WriteLine($"Created agent: {agent.Name}:{agent.Version}");
}
}
protected abstract IAsyncEnumerable<AgentVersion> CreateAgentsAsync(Uri foundryEndpoint);
protected string GetSetting(string settingName) =>
configuration[settingName] ??
throw new InvalidOperationException($"Undefined configuration setting: {settingName}");
}

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// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.Identity;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.Configuration;
using OpenAI.Responses;
using Shared.Foundry;
namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
internal sealed class FunctionToolAgentProvider(IConfiguration configuration) : AgentProvider(configuration)
{
protected override async IAsyncEnumerable<AgentVersion> CreateAgentsAsync(Uri foundryEndpoint)
{
MenuPlugin menuPlugin = new();
AIFunction[] functions =
[
AIFunctionFactory.Create(menuPlugin.GetMenu),
AIFunctionFactory.Create(menuPlugin.GetSpecials),
AIFunctionFactory.Create(menuPlugin.GetItemPrice),
];
AIProjectClient aiProjectClient = new(foundryEndpoint, new AzureCliCredential());
yield return
await aiProjectClient.CreateAgentAsync(
agentName: "MenuAgent",
agentDefinition: this.DefineMenuAgent(functions),
agentDescription: "Provides information about the restaurant menu");
}
private PromptAgentDefinition DefineMenuAgent(AIFunction[] functions)
{
PromptAgentDefinition agentDefinition =
new(this.GetSetting(Settings.FoundryModelMini))
{
Instructions =
"""
Answer the users questions on the menu.
For questions or input that do not require searching the documentation, inform the
user that you can only answer questions what's on the menu.
"""
};
foreach (AIFunction function in functions)
{
agentDefinition.Tools.Add(function.AsOpenAIResponseTool());
}
return agentDefinition;
}
}

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// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.Identity;
using Microsoft.Extensions.Configuration;
using Shared.Foundry;
namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
internal sealed class MarketingAgentProvider(IConfiguration configuration) : AgentProvider(configuration)
{
protected override async IAsyncEnumerable<AgentVersion> CreateAgentsAsync(Uri foundryEndpoint)
{
AIProjectClient aiProjectClient = new(foundryEndpoint, new AzureCliCredential());
yield return
await aiProjectClient.CreateAgentAsync(
agentName: "AnalystAgent",
agentDefinition: this.DefineAnalystAgent(),
agentDescription: "Analyst agent for Marketing workflow");
yield return
await aiProjectClient.CreateAgentAsync(
agentName: "WriterAgent",
agentDefinition: this.DefineWriterAgent(),
agentDescription: "Writer agent for Marketing workflow");
yield return
await aiProjectClient.CreateAgentAsync(
agentName: "EditorAgent",
agentDefinition: this.DefineEditorAgent(),
agentDescription: "Editor agent for Marketing workflow");
}
private PromptAgentDefinition DefineAnalystAgent() =>
new(this.GetSetting(Settings.FoundryModelFull))
{
Instructions =
"""
You are a marketing analyst. Given a product description, identify:
- Key features
- Target audience
- Unique selling points
""",
Tools =
{
//AgentTool.CreateBingGroundingTool( // TODO: Use Bing Grounding when available
// new BingGroundingSearchToolParameters(
// [new BingGroundingSearchConfiguration(this.GetSetting(Settings.FoundryGroundingTool))]))
}
};
private PromptAgentDefinition DefineWriterAgent() =>
new(this.GetSetting(Settings.FoundryModelFull))
{
Instructions =
"""
You are a marketing copywriter. Given a block of text describing features, audience, and USPs,
compose a compelling marketing copy (like a newsletter section) that highlights these points.
Output should be short (around 150 words), output just the copy as a single text block.
"""
};
private PromptAgentDefinition DefineEditorAgent() =>
new(this.GetSetting(Settings.FoundryModelFull))
{
Instructions =
"""
You are an editor. Given the draft copy, correct grammar, improve clarity, ensure consistent tone,
give format and make it polished. Output the final improved copy as a single text block.
"""
};
}

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// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.Identity;
using Microsoft.Extensions.Configuration;
using Shared.Foundry;
namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
internal sealed class MathChatAgentProvider(IConfiguration configuration) : AgentProvider(configuration)
{
protected override async IAsyncEnumerable<AgentVersion> CreateAgentsAsync(Uri foundryEndpoint)
{
AIProjectClient aiProjectClient = new(foundryEndpoint, new AzureCliCredential());
yield return
await aiProjectClient.CreateAgentAsync(
agentName: "StudentAgent",
agentDefinition: this.DefineStudentAgent(),
agentDescription: "Student agent for MathChat workflow");
yield return
await aiProjectClient.CreateAgentAsync(
agentName: "TeacherAgent",
agentDefinition: this.DefineTeacherAgent(),
agentDescription: "Teacher agent for MathChat workflow");
}
private PromptAgentDefinition DefineStudentAgent() =>
new(this.GetSetting(Settings.FoundryModelMini))
{
Instructions =
"""
Your job is help a math teacher practice teaching by making intentional mistakes.
You attempt to solve the given math problem, but with intentional mistakes so the teacher can help.
Always incorporate the teacher's advice to fix your next response.
You have the math-skills of a 6th grader.
"""
};
private PromptAgentDefinition DefineTeacherAgent() =>
new(this.GetSetting(Settings.FoundryModelMini))
{
Instructions =
"""
Review and coach the student's approach to solving the given math problem.
Don't repeat the solution or try and solve it.
If the student has demonstrated comprehension and responded to all of your feedback,
give the student your congratulations by using the word "congratulations".
"""
};
}

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// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Linq;
using Microsoft.Extensions.AI;
namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
#pragma warning disable CA1822
public sealed class MenuPlugin
{
public IEnumerable<AIFunction> GetTools()
{
yield return AIFunctionFactory.Create(this.GetMenu);
yield return AIFunctionFactory.Create(this.GetSpecials);
yield return AIFunctionFactory.Create(this.GetItemPrice);
}
[Description("Provides a list items on the menu.")]
public MenuItem[] GetMenu()
{
return s_menuItems;
}
[Description("Provides a list of specials from the menu.")]
public MenuItem[] GetSpecials()
{
return [.. s_menuItems.Where(i => i.IsSpecial)];
}
[Description("Provides the price of the requested menu item.")]
public float? GetItemPrice(
[Description("The name of the menu item.")]
string name)
{
return s_menuItems.FirstOrDefault(i => i.Name.Equals(name, StringComparison.OrdinalIgnoreCase))?.Price;
}
private static readonly MenuItem[] s_menuItems =
[
new()
{
Category = "Soup",
Name = "Clam Chowder",
Price = 4.95f,
IsSpecial = true,
},
new()
{
Category = "Soup",
Name = "Tomato Soup",
Price = 4.95f,
IsSpecial = false,
},
new()
{
Category = "Salad",
Name = "Cobb Salad",
Price = 9.99f,
},
new()
{
Category = "Salad",
Name = "House Salad",
Price = 4.95f,
},
new()
{
Category = "Drink",
Name = "Chai Tea",
Price = 2.95f,
IsSpecial = true,
},
new()
{
Category = "Drink",
Name = "Soda",
Price = 1.95f,
},
];
public sealed class MenuItem
{
public string Category { get; init; } = string.Empty;
public string Name { get; init; } = string.Empty;
public float Price { get; init; }
public bool IsSpecial { get; init; }
}
}

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// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.Identity;
using Microsoft.Extensions.Configuration;
using Shared.Foundry;
namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
internal sealed class PoemAgentProvider(IConfiguration configuration) : AgentProvider(configuration)
{
protected override async IAsyncEnumerable<AgentVersion> CreateAgentsAsync(Uri foundryEndpoint)
{
AIProjectClient aiProjectClient = new(foundryEndpoint, new AzureCliCredential());
yield return
await aiProjectClient.CreateAgentAsync(
agentName: "PoemAgent",
agentDefinition: this.DefinePoemAgent(),
agentDescription: "Authors original poems");
}
private PromptAgentDefinition DefinePoemAgent() =>
new(this.GetSetting(Settings.FoundryModelMini))
{
Instructions =
"""
Write a one verse poem on the requested topic in the style of: {{style}}.
""",
StructuredInputs =
{
["style"] =
new StructuredInputDefinition
{
IsRequired = false,
DefaultValue = BinaryData.FromString(@"""haiku"""),
Description = "The style of poem to write",
}
}
};
}

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// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.Identity;
using Microsoft.Extensions.Configuration;
using Shared.Foundry;
namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
internal sealed class TestAgentProvider(IConfiguration configuration) : AgentProvider(configuration)
{
protected override async IAsyncEnumerable<AgentVersion> CreateAgentsAsync(Uri foundryEndpoint)
{
AIProjectClient aiProjectClient = new(foundryEndpoint, new AzureCliCredential());
yield return
await aiProjectClient.CreateAgentAsync(
agentName: "TestAgent",
agentDefinition: this.DefineMenuAgent(),
agentDescription: "Basic agent");
}
private PromptAgentDefinition DefineMenuAgent() =>
new(this.GetSetting(Settings.FoundryModelFull));
}

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// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.Identity;
using Microsoft.Extensions.Configuration;
using Shared.Foundry;
namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
internal sealed class VisionAgentProvider(IConfiguration configuration) : AgentProvider(configuration)
{
protected override async IAsyncEnumerable<AgentVersion> CreateAgentsAsync(Uri foundryEndpoint)
{
AIProjectClient aiProjectClient = new(foundryEndpoint, new AzureCliCredential());
yield return
await aiProjectClient.CreateAgentAsync(
agentName: "VisionAgent",
agentDefinition: this.DefineVisionAgent(),
agentDescription: "Use computer vision to describe an image or document.");
}
private PromptAgentDefinition DefineVisionAgent() =>
new(this.GetSetting(Settings.FoundryModelFull))
{
Instructions =
"""
Describe the image or document contained in the user request, if any;
otherwise, suggest that the user provide an image or document.
""",
};
}