chore: import upstream snapshot with attribution
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This commit is contained in:
+49
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// Copyright (c) Microsoft. All rights reserved.
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using System;
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using System.Collections.Generic;
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using System.Threading.Tasks;
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using Azure.AI.Projects.Agents;
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using Microsoft.Extensions.Configuration;
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using Shared.IntegrationTests;
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namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
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internal abstract class AgentProvider(IConfiguration configuration)
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{
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public static class Names
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{
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public const string FunctionTool = "FUNCTIONTOOL";
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public const string Marketing = "MARKETING";
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public const string MathChat = "MATHCHAT";
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public const string InputArguments = "INPUTARGUMENTS";
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public const string Vision = "VISION";
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}
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public static AgentProvider Create(IConfiguration configuration, string providerType) =>
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providerType.ToUpperInvariant() switch
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{
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Names.FunctionTool => new FunctionToolAgentProvider(configuration),
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Names.Marketing => new MarketingAgentProvider(configuration),
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Names.MathChat => new MathChatAgentProvider(configuration),
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Names.InputArguments => new PoemAgentProvider(configuration),
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Names.Vision => new VisionAgentProvider(configuration),
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_ => new TestAgentProvider(configuration),
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};
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public async ValueTask CreateAgentsAsync()
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{
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Uri foundryEndpoint = new(this.GetSetting(TestSettings.AzureAIProjectEndpoint));
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await foreach (ProjectsAgentVersion agent in this.CreateAgentsAsync(foundryEndpoint))
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{
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Console.WriteLine($"Created agent: {agent.Name}:{agent.Version}");
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}
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}
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protected abstract IAsyncEnumerable<ProjectsAgentVersion> CreateAgentsAsync(Uri foundryEndpoint);
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protected string GetSetting(string settingName) =>
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configuration[settingName] ??
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throw new InvalidOperationException($"Undefined configuration setting: {settingName}");
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}
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+56
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// Copyright (c) Microsoft. All rights reserved.
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using System;
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using System.Collections.Generic;
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using Azure.AI.Projects;
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using Azure.AI.Projects.Agents;
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using Microsoft.Extensions.AI;
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using Microsoft.Extensions.Configuration;
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using OpenAI.Responses;
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using Shared.Foundry;
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using Shared.IntegrationTests;
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namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
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internal sealed class FunctionToolAgentProvider(IConfiguration configuration) : AgentProvider(configuration)
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{
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protected override async IAsyncEnumerable<ProjectsAgentVersion> CreateAgentsAsync(Uri foundryEndpoint)
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{
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MenuPlugin menuPlugin = new();
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AIFunction[] functions =
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[
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AIFunctionFactory.Create(menuPlugin.GetMenu),
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AIFunctionFactory.Create(menuPlugin.GetSpecials),
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AIFunctionFactory.Create(menuPlugin.GetItemPrice),
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];
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AIProjectClient aiProjectClient = new(foundryEndpoint, TestAzureCliCredentials.CreateAzureCliCredential());
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yield return
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await aiProjectClient.CreateAgentAsync(
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agentName: "MenuAgent",
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agentDefinition: this.DefineMenuAgent(functions),
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agentDescription: "Provides information about the restaurant menu");
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}
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private DeclarativeAgentDefinition DefineMenuAgent(AIFunction[] functions)
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{
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DeclarativeAgentDefinition agentDefinition =
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new(this.GetSetting(TestSettings.AzureAIModelDeploymentName))
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{
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Instructions =
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"""
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Answer the users questions on the menu.
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For questions or input that do not require searching the documentation, inform the
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user that you can only answer questions what's on the menu.
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"""
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};
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foreach (AIFunction function in functions)
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{
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agentDefinition.Tools.Add(function.AsOpenAIResponseTool());
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}
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return agentDefinition;
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}
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}
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+76
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// Copyright (c) Microsoft. All rights reserved.
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using System;
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using System.Collections.Generic;
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using Azure.AI.Projects;
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using Azure.AI.Projects.Agents;
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using Microsoft.Extensions.Configuration;
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using Shared.Foundry;
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using Shared.IntegrationTests;
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namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
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internal sealed class MarketingAgentProvider(IConfiguration configuration) : AgentProvider(configuration)
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{
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protected override async IAsyncEnumerable<ProjectsAgentVersion> CreateAgentsAsync(Uri foundryEndpoint)
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{
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AIProjectClient aiProjectClient = new(foundryEndpoint, TestAzureCliCredentials.CreateAzureCliCredential());
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yield return
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await aiProjectClient.CreateAgentAsync(
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agentName: "AnalystAgent",
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agentDefinition: this.DefineAnalystAgent(),
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agentDescription: "Analyst agent for Marketing workflow");
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yield return
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await aiProjectClient.CreateAgentAsync(
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agentName: "WriterAgent",
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agentDefinition: this.DefineWriterAgent(),
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agentDescription: "Writer agent for Marketing workflow");
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yield return
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await aiProjectClient.CreateAgentAsync(
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agentName: "EditorAgent",
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agentDefinition: this.DefineEditorAgent(),
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agentDescription: "Editor agent for Marketing workflow");
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}
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private DeclarativeAgentDefinition DefineAnalystAgent() =>
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new(this.GetSetting(TestSettings.AzureAIModelDeploymentName))
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{
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Instructions =
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"""
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You are a marketing analyst. Given a product description, identify:
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- Key features
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- Target audience
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- Unique selling points
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""",
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Tools =
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{
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//ProjectsAgentTool.CreateBingGroundingTool( // TODO: Use Bing Grounding when available
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// new BingGroundingSearchToolParameters(
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// [new BingGroundingSearchConfiguration(this.GetSetting(Settings.FoundryGroundingTool))]))
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}
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};
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private DeclarativeAgentDefinition DefineWriterAgent() =>
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new(this.GetSetting(TestSettings.AzureAIModelDeploymentName))
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{
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Instructions =
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"""
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You are a marketing copywriter. Given a block of text describing features, audience, and USPs,
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compose a compelling marketing copy (like a newsletter section) that highlights these points.
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Output should be short (around 150 words), output just the copy as a single text block.
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"""
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};
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private DeclarativeAgentDefinition DefineEditorAgent() =>
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new(this.GetSetting(TestSettings.AzureAIModelDeploymentName))
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{
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Instructions =
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"""
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You are an editor. Given the draft copy, correct grammar, improve clarity, ensure consistent tone,
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give format and make it polished. Output the final improved copy as a single text block.
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"""
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};
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}
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+55
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// Copyright (c) Microsoft. All rights reserved.
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using System;
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using System.Collections.Generic;
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using Azure.AI.Projects;
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using Azure.AI.Projects.Agents;
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using Microsoft.Extensions.Configuration;
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using Shared.Foundry;
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using Shared.IntegrationTests;
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namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
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internal sealed class MathChatAgentProvider(IConfiguration configuration) : AgentProvider(configuration)
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{
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protected override async IAsyncEnumerable<ProjectsAgentVersion> CreateAgentsAsync(Uri foundryEndpoint)
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{
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AIProjectClient aiProjectClient = new(foundryEndpoint, TestAzureCliCredentials.CreateAzureCliCredential());
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yield return
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await aiProjectClient.CreateAgentAsync(
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agentName: "StudentAgent",
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agentDefinition: this.DefineStudentAgent(),
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agentDescription: "Student agent for MathChat workflow");
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yield return
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await aiProjectClient.CreateAgentAsync(
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agentName: "TeacherAgent",
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agentDefinition: this.DefineTeacherAgent(),
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agentDescription: "Teacher agent for MathChat workflow");
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}
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private DeclarativeAgentDefinition DefineStudentAgent() =>
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new(this.GetSetting(TestSettings.AzureAIModelDeploymentName))
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{
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Instructions =
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"""
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Your job is help a math teacher practice teaching by making intentional mistakes.
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You attempt to solve the given math problem, but with intentional mistakes so the teacher can help.
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Always incorporate the teacher's advice to fix your next response.
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You have the math-skills of a 6th grader.
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"""
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};
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private DeclarativeAgentDefinition DefineTeacherAgent() =>
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new(this.GetSetting(TestSettings.AzureAIModelDeploymentName))
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{
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Instructions =
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"""
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Review and coach the student's approach to solving the given math problem.
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Don't repeat the solution or try and solve it.
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If the student has demonstrated comprehension and responded to all of your feedback,
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give the student your congratulations by using the word "congratulations".
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"""
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};
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}
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+92
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// Copyright (c) Microsoft. All rights reserved.
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using System;
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using System.Collections.Generic;
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using System.ComponentModel;
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using System.Linq;
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using Microsoft.Extensions.AI;
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namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
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#pragma warning disable CA1822
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public sealed class MenuPlugin
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{
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public IEnumerable<AIFunction> GetTools()
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{
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yield return AIFunctionFactory.Create(this.GetMenu);
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yield return AIFunctionFactory.Create(this.GetSpecials);
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yield return AIFunctionFactory.Create(this.GetItemPrice);
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}
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[Description("Provides a list items on the menu.")]
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public MenuItem[] GetMenu()
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{
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return s_menuItems;
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}
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[Description("Provides a list of specials from the menu.")]
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public MenuItem[] GetSpecials()
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{
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return [.. s_menuItems.Where(i => i.IsSpecial)];
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}
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[Description("Provides the price of the requested menu item.")]
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public float? GetItemPrice(
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[Description("The name of the menu item.")]
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string name)
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{
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return s_menuItems.FirstOrDefault(i => i.Name.Equals(name, StringComparison.OrdinalIgnoreCase))?.Price;
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}
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private static readonly MenuItem[] s_menuItems =
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[
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new()
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{
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Category = "Soup",
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Name = "Clam Chowder",
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Price = 4.95f,
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IsSpecial = true,
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},
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new()
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{
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Category = "Soup",
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Name = "Tomato Soup",
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Price = 4.95f,
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IsSpecial = false,
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},
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new()
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{
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Category = "Salad",
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Name = "Cobb Salad",
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Price = 9.99f,
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},
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new()
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{
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Category = "Salad",
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Name = "House Salad",
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Price = 4.95f,
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},
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new()
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{
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Category = "Drink",
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Name = "Chai Tea",
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Price = 2.95f,
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IsSpecial = true,
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},
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new()
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{
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Category = "Drink",
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Name = "Soda",
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Price = 1.95f,
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},
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];
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public sealed class MenuItem
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{
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public string Category { get; init; } = string.Empty;
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public string Name { get; init; } = string.Empty;
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public float Price { get; init; }
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public bool IsSpecial { get; init; }
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}
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}
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+44
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// Copyright (c) Microsoft. All rights reserved.
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using System;
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using System.Collections.Generic;
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using Azure.AI.Projects;
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using Azure.AI.Projects.Agents;
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using Microsoft.Extensions.Configuration;
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using Shared.Foundry;
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using Shared.IntegrationTests;
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namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
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internal sealed class PoemAgentProvider(IConfiguration configuration) : AgentProvider(configuration)
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{
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protected override async IAsyncEnumerable<ProjectsAgentVersion> CreateAgentsAsync(Uri foundryEndpoint)
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{
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AIProjectClient aiProjectClient = new(foundryEndpoint, TestAzureCliCredentials.CreateAzureCliCredential());
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yield return
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await aiProjectClient.CreateAgentAsync(
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agentName: "PoemAgent",
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agentDefinition: this.DefinePoemAgent(),
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agentDescription: "Authors original poems");
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}
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private DeclarativeAgentDefinition DefinePoemAgent() =>
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new(this.GetSetting(TestSettings.AzureAIModelDeploymentName))
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{
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Instructions =
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"""
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Write a one verse poem on the requested topic in the style of: {{style}}.
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""",
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StructuredInputs =
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{
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["style"] =
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new StructuredInputDefinition
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{
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IsRequired = false,
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DefaultValue = BinaryData.FromString(@"""haiku"""),
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Description = "The style of poem to write",
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}
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}
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};
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}
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+28
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// Copyright (c) Microsoft. All rights reserved.
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using System;
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using System.Collections.Generic;
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using Azure.AI.Projects;
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using Azure.AI.Projects.Agents;
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using Microsoft.Extensions.Configuration;
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using Shared.Foundry;
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using Shared.IntegrationTests;
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namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
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internal sealed class TestAgentProvider(IConfiguration configuration) : AgentProvider(configuration)
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{
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protected override async IAsyncEnumerable<ProjectsAgentVersion> CreateAgentsAsync(Uri foundryEndpoint)
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{
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AIProjectClient aiProjectClient = new(foundryEndpoint, TestAzureCliCredentials.CreateAzureCliCredential());
|
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yield return
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await aiProjectClient.CreateAgentAsync(
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agentName: "TestAgent",
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agentDefinition: this.DefineMenuAgent(),
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agentDescription: "Basic agent");
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}
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private DeclarativeAgentDefinition DefineMenuAgent() =>
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new(this.GetSetting(TestSettings.AzureAIModelDeploymentName));
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}
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+35
@@ -0,0 +1,35 @@
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// Copyright (c) Microsoft. All rights reserved.
|
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|
||||
using System;
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using System.Collections.Generic;
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using Azure.AI.Projects;
|
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using Azure.AI.Projects.Agents;
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using Microsoft.Extensions.Configuration;
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using Shared.Foundry;
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using Shared.IntegrationTests;
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namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents;
|
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internal sealed class VisionAgentProvider(IConfiguration configuration) : AgentProvider(configuration)
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{
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protected override async IAsyncEnumerable<ProjectsAgentVersion> CreateAgentsAsync(Uri foundryEndpoint)
|
||||
{
|
||||
AIProjectClient aiProjectClient = new(foundryEndpoint, TestAzureCliCredentials.CreateAzureCliCredential());
|
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yield return
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await aiProjectClient.CreateAgentAsync(
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agentName: "VisionAgent",
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agentDefinition: this.DefineVisionAgent(),
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agentDescription: "Use computer vision to describe an image or document.");
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}
|
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private DeclarativeAgentDefinition DefineVisionAgent() =>
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new(this.GetSetting(TestSettings.AzureAIModelDeploymentName))
|
||||
{
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Instructions =
|
||||
"""
|
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Describe the image or document contained in the user request, if any;
|
||||
otherwise, suggest that the user provide an image or document.
|
||||
""",
|
||||
};
|
||||
}
|
||||
Reference in New Issue
Block a user