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.NET: Remove OpenAIAssistantClientExtensions class (#5058)
* Remove OpenAIAssistantClientExtensions class Remove the deprecated OpenAI Assistants API extension methods, along with their unit tests, integration tests, sample project, and related references. - Delete OpenAIAssistantClientExtensions.cs (source) - Delete OpenAIAssistantClientExtensionsTests.cs (unit + integration tests) - Delete Agent_With_OpenAIAssistants sample project - Remove sample from solution file, README, and verify-samples definitions - Remove AIOpenAIAssistants diagnostic ID constant Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * add removed extension methods to the suppression file --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
SergeyMenshykh
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commit
a356a16568
@@ -34,7 +34,6 @@
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<Project Path="samples/02-agents/AgentProviders/Agent_With_GoogleGemini/Agent_With_GoogleGemini.csproj" />
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<Project Path="samples/02-agents/AgentProviders/Agent_With_Ollama/Agent_With_Ollama.csproj" />
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<Project Path="samples/02-agents/AgentProviders/Agent_With_ONNX/Agent_With_ONNX.csproj" />
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<Project Path="samples/02-agents/AgentProviders/Agent_With_OpenAIAssistants/Agent_With_OpenAIAssistants.csproj" />
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<Project Path="samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion/Agent_With_OpenAIChatCompletion.csproj" />
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<Project Path="samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/Agent_With_OpenAIResponses.csproj" />
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</Folder>
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@@ -781,19 +781,6 @@ internal static class AgentsSamples
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SkipReason = "Requires local Ollama server.",
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},
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new SampleDefinition
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{
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Name = "Agent_With_OpenAIAssistants",
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ProjectPath = "samples/02-agents/AgentProviders/Agent_With_OpenAIAssistants",
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RequiredEnvironmentVariables = ["OPENAI_API_KEY"],
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OptionalEnvironmentVariables = ["OPENAI_CHAT_MODEL_NAME"],
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ExpectedOutputDescription =
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[
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"The output should contain a joke about a pirate from the OpenAI Assistants API.",
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"The output should not contain error messages or stack traces.",
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],
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},
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new SampleDefinition
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{
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Name = "Agent_With_OpenAIChatCompletion",
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-15
@@ -1,15 +0,0 @@
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFrameworks>net10.0</TargetFrameworks>
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<Nullable>enable</Nullable>
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<ImplicitUsings>enable</ImplicitUsings>
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</PropertyGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
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</ItemGroup>
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</Project>
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@@ -1,41 +0,0 @@
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// Copyright (c) Microsoft. All rights reserved.
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// This sample shows how to create and use a simple AI agent with OpenAI Assistants as the backend.
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// WARNING: The Assistants API is deprecated and will be shut down.
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// For more information see the OpenAI documentation: https://platform.openai.com/docs/assistants/migration
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#pragma warning disable CS0618 // Type or member is obsolete - OpenAI Assistants API is deprecated but still used in this sample
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using Microsoft.Agents.AI;
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using OpenAI;
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using OpenAI.Assistants;
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var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
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var model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-4o-mini";
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const string JokerName = "Joker";
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const string JokerInstructions = "You are good at telling jokes.";
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// Get a client to create/retrieve server side agents with.
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var assistantClient = new OpenAIClient(apiKey).GetAssistantClient();
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// You can create a server side assistant with the OpenAI SDK.
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var createResult = await assistantClient.CreateAssistantAsync(model, new() { Name = JokerName, Instructions = JokerInstructions });
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// You can retrieve an already created server side assistant as an AIAgent.
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AIAgent agent1 = await assistantClient.GetAIAgentAsync(createResult.Value.Id);
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// You can also create a server side assistant and return it as an AIAgent directly.
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AIAgent agent2 = await assistantClient.CreateAIAgentAsync(
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model: model,
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name: JokerName,
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instructions: JokerInstructions);
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// You can invoke the agent like any other AIAgent.
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AgentSession session = await agent1.CreateSessionAsync();
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Console.WriteLine(await agent1.RunAsync("Tell me a joke about a pirate.", session));
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// Cleanup for sample purposes.
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await assistantClient.DeleteAssistantAsync(agent1.Id);
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await assistantClient.DeleteAssistantAsync(agent2.Id);
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@@ -1,16 +0,0 @@
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# Prerequisites
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WARNING: The Assistants API is deprecated and will be shut down.
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For more information see the OpenAI documentation: https://platform.openai.com/docs/assistants/migration
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Before you begin, ensure you have the following prerequisites:
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- .NET 10 SDK or later
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- OpenAI API key
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Set the following environment variables:
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```powershell
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$env:OPENAI_API_KEY="*****" # Replace with your OpenAI API key
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$env:OPENAI_CHAT_MODEL_NAME="gpt-4o-mini" # Optional, defaults to gpt-4o-mini
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```
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@@ -25,7 +25,6 @@ See the README.md for each sample for the prerequisites for that sample.
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|[Creating an AIAgent with GitHub Copilot](./Agent_With_GitHubCopilot/)|This sample demonstrates how to create an AIAgent using GitHub Copilot SDK as the underlying inference service|
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|[Creating an AIAgent with Ollama](./Agent_With_Ollama/)|This sample demonstrates how to create an AIAgent using Ollama as the underlying inference service|
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|[Creating an AIAgent with ONNX](./Agent_With_ONNX/)|This sample demonstrates how to create an AIAgent using ONNX as the underlying inference service|
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|[Creating an AIAgent with OpenAI Assistants](./Agent_With_OpenAIAssistants/)|This sample demonstrates how to create an AIAgent using OpenAI Assistants as the underlying inference service.</br>WARNING: The Assistants API is deprecated and will be shut down. For more information see the OpenAI documentation: https://platform.openai.com/docs/assistants/migration|
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|[Creating an AIAgent with OpenAI ChatCompletion](./Agent_With_OpenAIChatCompletion/)|This sample demonstrates how to create an AIAgent using OpenAI ChatCompletion as the underlying inference service|
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|[Creating an AIAgent with OpenAI Responses](./Agent_With_OpenAIResponses/)|This sample demonstrates how to create an AIAgent using OpenAI Responses as the underlying inference service|
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@@ -1,6 +1,41 @@
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<?xml version="1.0" encoding="utf-8"?>
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<!-- https://learn.microsoft.com/dotnet/fundamentals/package-validation/diagnostic-ids -->
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<Suppressions xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">
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<Suppression>
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<DiagnosticId>CP0001</DiagnosticId>
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<Target>T:OpenAI.Assistants.OpenAIAssistantClientExtensions</Target>
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<Left>lib/net10.0/Microsoft.Agents.AI.OpenAI.dll</Left>
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<Right>lib/net10.0/Microsoft.Agents.AI.OpenAI.dll</Right>
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<IsBaselineSuppression>true</IsBaselineSuppression>
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</Suppression>
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<Suppression>
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<DiagnosticId>CP0001</DiagnosticId>
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<Target>T:OpenAI.Assistants.OpenAIAssistantClientExtensions</Target>
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<Left>lib/net472/Microsoft.Agents.AI.OpenAI.dll</Left>
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<Right>lib/net472/Microsoft.Agents.AI.OpenAI.dll</Right>
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<IsBaselineSuppression>true</IsBaselineSuppression>
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</Suppression>
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<Suppression>
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<DiagnosticId>CP0001</DiagnosticId>
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<Target>T:OpenAI.Assistants.OpenAIAssistantClientExtensions</Target>
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<Left>lib/net8.0/Microsoft.Agents.AI.OpenAI.dll</Left>
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<Right>lib/net8.0/Microsoft.Agents.AI.OpenAI.dll</Right>
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<IsBaselineSuppression>true</IsBaselineSuppression>
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</Suppression>
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<Suppression>
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<DiagnosticId>CP0001</DiagnosticId>
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<Target>T:OpenAI.Assistants.OpenAIAssistantClientExtensions</Target>
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<Left>lib/net9.0/Microsoft.Agents.AI.OpenAI.dll</Left>
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<Right>lib/net9.0/Microsoft.Agents.AI.OpenAI.dll</Right>
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<IsBaselineSuppression>true</IsBaselineSuppression>
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</Suppression>
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<Suppression>
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<DiagnosticId>CP0001</DiagnosticId>
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<Target>T:OpenAI.Assistants.OpenAIAssistantClientExtensions</Target>
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<Left>lib/netstandard2.0/Microsoft.Agents.AI.OpenAI.dll</Left>
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<Right>lib/netstandard2.0/Microsoft.Agents.AI.OpenAI.dll</Right>
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<IsBaselineSuppression>true</IsBaselineSuppression>
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</Suppression>
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<Suppression>
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<DiagnosticId>CP0002</DiagnosticId>
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<Target>M:OpenAI.Responses.OpenAIResponseClientExtensions.AsAIAgent(OpenAI.Responses.ResponsesClient,Microsoft.Agents.AI.ChatClientAgentOptions,System.Func{Microsoft.Extensions.AI.IChatClient,Microsoft.Extensions.AI.IChatClient},Microsoft.Extensions.Logging.ILoggerFactory,System.IServiceProvider)</Target>
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@@ -1,433 +0,0 @@
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// Copyright (c) Microsoft. All rights reserved.
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using System.ClientModel;
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using System.Diagnostics.CodeAnalysis;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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using Microsoft.Extensions.Logging;
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using Microsoft.Shared.DiagnosticIds;
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using Microsoft.Shared.Diagnostics;
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namespace OpenAI.Assistants;
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/// <summary>
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/// Provides extension methods for OpenAI <see cref="AssistantClient"/>
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/// to simplify the creation of AI agents that work with OpenAI services.
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/// </summary>
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/// <remarks>
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/// These extensions bridge the gap between OpenAI SDK client objects and the Microsoft Agent Framework,
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/// allowing developers to easily create AI agents that leverage OpenAI's chat completion and response services.
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/// The methods handle the conversion from OpenAI clients to <see cref="IChatClient"/> instances and then wrap them
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/// in <see cref="ChatClientAgent"/> objects that implement the <see cref="AIAgent"/> interface.
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/// </remarks>
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[Experimental(DiagnosticIds.Experiments.AIOpenAIAssistants)]
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public static class OpenAIAssistantClientExtensions
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{
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/// <summary>
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/// Gets a <see cref="ChatClientAgent"/> from a <see cref="ClientResult{Assistant}"/>.
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/// </summary>
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/// <param name="assistantClient">The assistant client.</param>
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/// <param name="assistantClientResult">The client result containing the assistant.</param>
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/// <param name="chatOptions">Optional chat options.</param>
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/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
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/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
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/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations on the assistant.</returns>
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[Obsolete("The Assistants API has been deprecated. Please use the Responses API instead.")]
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public static ChatClientAgent AsAIAgent(
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this AssistantClient assistantClient,
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ClientResult<Assistant> assistantClientResult,
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ChatOptions? chatOptions = null,
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Func<IChatClient, IChatClient>? clientFactory = null,
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IServiceProvider? services = null)
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{
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if (assistantClientResult is null)
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{
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throw new ArgumentNullException(nameof(assistantClientResult));
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}
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return assistantClient.AsAIAgent(assistantClientResult.Value, chatOptions, clientFactory, services);
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}
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/// <summary>
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/// Gets a <see cref="ChatClientAgent"/> from an <see cref="Assistant"/>.
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/// </summary>
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/// <param name="assistantClient">The assistant client.</param>
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/// <param name="assistantMetadata">The assistant metadata.</param>
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/// <param name="chatOptions">Optional chat options.</param>
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/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
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/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
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/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations on the assistant.</returns>
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[Obsolete("The Assistants API has been deprecated. Please use the Responses API instead.")]
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public static ChatClientAgent AsAIAgent(
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this AssistantClient assistantClient,
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Assistant assistantMetadata,
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ChatOptions? chatOptions = null,
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Func<IChatClient, IChatClient>? clientFactory = null,
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IServiceProvider? services = null)
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{
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if (assistantMetadata is null)
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{
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throw new ArgumentNullException(nameof(assistantMetadata));
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}
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if (assistantClient is null)
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{
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throw new ArgumentNullException(nameof(assistantClient));
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}
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var chatClient = assistantClient.AsIChatClient(assistantMetadata.Id);
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if (clientFactory is not null)
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{
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chatClient = clientFactory(chatClient);
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}
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if (!string.IsNullOrWhiteSpace(assistantMetadata.Instructions) && chatOptions?.Instructions is null)
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{
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chatOptions ??= new ChatOptions();
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chatOptions.Instructions = assistantMetadata.Instructions;
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}
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return new ChatClientAgent(chatClient, options: new()
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{
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Id = assistantMetadata.Id,
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Name = assistantMetadata.Name,
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Description = assistantMetadata.Description,
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ChatOptions = chatOptions
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}, services: services);
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}
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/// <summary>
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/// Retrieves an existing server side agent, wrapped as a <see cref="ChatClientAgent"/> using the provided <see cref="AssistantClient"/>.
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/// </summary>
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/// <param name="assistantClient">The <see cref="AssistantClient"/> to create the <see cref="ChatClientAgent"/> with.</param>
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/// <param name="agentId"> The ID of the server side agent to create a <see cref="ChatClientAgent"/> for.</param>
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/// <param name="chatOptions">Options that should apply to all runs of the agent.</param>
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/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
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/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
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/// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
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/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations on the assistant agent.</returns>
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[Obsolete("The Assistants API has been deprecated. Please use the Responses API instead.")]
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public static async Task<ChatClientAgent> GetAIAgentAsync(
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this AssistantClient assistantClient,
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string agentId,
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ChatOptions? chatOptions = null,
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Func<IChatClient, IChatClient>? clientFactory = null,
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IServiceProvider? services = null,
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CancellationToken cancellationToken = default)
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{
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if (assistantClient is null)
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{
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throw new ArgumentNullException(nameof(assistantClient));
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}
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if (string.IsNullOrWhiteSpace(agentId))
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{
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throw new ArgumentException($"{nameof(agentId)} should not be null or whitespace.", nameof(agentId));
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}
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var assistantResponse = await assistantClient.GetAssistantAsync(agentId, cancellationToken).ConfigureAwait(false);
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return assistantClient.AsAIAgent(assistantResponse, chatOptions, clientFactory, services);
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}
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/// <summary>
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/// Gets a <see cref="ChatClientAgent"/> from a <see cref="ClientResult{Assistant}"/>.
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/// </summary>
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/// <param name="assistantClient">The assistant client.</param>
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/// <param name="assistantClientResult">The client result containing the assistant.</param>
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/// <param name="options">Full set of options to configure the agent.</param>
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/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
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/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
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/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations on the assistant.</returns>
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/// <exception cref="ArgumentNullException"><paramref name="assistantClientResult"/> or <paramref name="options"/> is <see langword="null"/>.</exception>
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[Obsolete("The Assistants API has been deprecated. Please use the Responses API instead.")]
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public static ChatClientAgent AsAIAgent(
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this AssistantClient assistantClient,
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ClientResult<Assistant> assistantClientResult,
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ChatClientAgentOptions options,
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Func<IChatClient, IChatClient>? clientFactory = null,
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IServiceProvider? services = null)
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{
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if (assistantClientResult is null)
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{
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throw new ArgumentNullException(nameof(assistantClientResult));
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}
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return assistantClient.AsAIAgent(assistantClientResult.Value, options, clientFactory, services);
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}
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/// <summary>
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/// Gets a <see cref="ChatClientAgent"/> from an <see cref="Assistant"/>.
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/// </summary>
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/// <param name="assistantClient">The assistant client.</param>
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/// <param name="assistantMetadata">The assistant metadata.</param>
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/// <param name="options">Full set of options to configure the agent.</param>
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/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
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/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
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/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations on the assistant.</returns>
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/// <exception cref="ArgumentNullException"><paramref name="assistantMetadata"/> or <paramref name="options"/> is <see langword="null"/>.</exception>
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[Obsolete("The Assistants API has been deprecated. Please use the Responses API instead.")]
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public static ChatClientAgent AsAIAgent(
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this AssistantClient assistantClient,
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Assistant assistantMetadata,
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ChatClientAgentOptions options,
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Func<IChatClient, IChatClient>? clientFactory = null,
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IServiceProvider? services = null)
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{
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if (assistantMetadata is null)
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{
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throw new ArgumentNullException(nameof(assistantMetadata));
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}
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if (assistantClient is null)
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{
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throw new ArgumentNullException(nameof(assistantClient));
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}
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if (options is null)
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{
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throw new ArgumentNullException(nameof(options));
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}
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var chatClient = assistantClient.AsIChatClient(assistantMetadata.Id);
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if (clientFactory is not null)
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{
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chatClient = clientFactory(chatClient);
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}
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if (string.IsNullOrWhiteSpace(options.ChatOptions?.Instructions) && !string.IsNullOrWhiteSpace(assistantMetadata.Instructions))
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{
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options.ChatOptions ??= new ChatOptions();
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options.ChatOptions.Instructions = assistantMetadata.Instructions;
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}
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var mergedOptions = new ChatClientAgentOptions()
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{
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Id = assistantMetadata.Id,
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Name = options.Name ?? assistantMetadata.Name,
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Description = options.Description ?? assistantMetadata.Description,
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ChatOptions = options.ChatOptions,
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AIContextProviders = options.AIContextProviders,
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ChatHistoryProvider = options.ChatHistoryProvider,
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UseProvidedChatClientAsIs = options.UseProvidedChatClientAsIs
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};
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return new ChatClientAgent(chatClient, mergedOptions, services: services);
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}
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/// <summary>
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/// Retrieves an existing server side agent, wrapped as a <see cref="ChatClientAgent"/> using the provided <see cref="AssistantClient"/>.
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/// </summary>
|
||||
/// <param name="assistantClient">The <see cref="AssistantClient"/> to create the <see cref="ChatClientAgent"/> with.</param>
|
||||
/// <param name="agentId"> The ID of the server side agent to create a <see cref="ChatClientAgent"/> for.</param>
|
||||
/// <param name="options">Full set of options to configure the agent.</param>
|
||||
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
|
||||
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
|
||||
/// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
|
||||
/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations on the assistant agent.</returns>
|
||||
/// <exception cref="ArgumentNullException"><paramref name="assistantClient"/> or <paramref name="options"/> is <see langword="null"/>.</exception>
|
||||
/// <exception cref="ArgumentException"><paramref name="agentId"/> is empty or whitespace.</exception>
|
||||
[Obsolete("The Assistants API has been deprecated. Please use the Responses API instead.")]
|
||||
public static async Task<ChatClientAgent> GetAIAgentAsync(
|
||||
this AssistantClient assistantClient,
|
||||
string agentId,
|
||||
ChatClientAgentOptions options,
|
||||
Func<IChatClient, IChatClient>? clientFactory = null,
|
||||
IServiceProvider? services = null,
|
||||
CancellationToken cancellationToken = default)
|
||||
{
|
||||
if (assistantClient is null)
|
||||
{
|
||||
throw new ArgumentNullException(nameof(assistantClient));
|
||||
}
|
||||
|
||||
if (string.IsNullOrWhiteSpace(agentId))
|
||||
{
|
||||
throw new ArgumentException($"{nameof(agentId)} should not be null or whitespace.", nameof(agentId));
|
||||
}
|
||||
|
||||
if (options is null)
|
||||
{
|
||||
throw new ArgumentNullException(nameof(options));
|
||||
}
|
||||
|
||||
var assistantResponse = await assistantClient.GetAssistantAsync(agentId, cancellationToken).ConfigureAwait(false);
|
||||
return assistantClient.AsAIAgent(assistantResponse, options, clientFactory, services);
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Creates an AI agent from an <see cref="AssistantClient"/> using the OpenAI Assistant API.
|
||||
/// </summary>
|
||||
/// <param name="client">The OpenAI <see cref="AssistantClient" /> to use for the agent.</param>
|
||||
/// <param name="model">The model identifier to use (e.g., "gpt-4").</param>
|
||||
/// <param name="instructions">Optional system instructions that define the agent's behavior and personality.</param>
|
||||
/// <param name="name">Optional name for the agent for identification purposes.</param>
|
||||
/// <param name="description">Optional description of the agent's capabilities and purpose.</param>
|
||||
/// <param name="tools">Optional collection of AI tools that the agent can use during conversations.</param>
|
||||
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
|
||||
/// <param name="loggerFactory">Optional logger factory for enabling logging within the agent.</param>
|
||||
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
|
||||
/// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
|
||||
/// <returns>An <see cref="ChatClientAgent"/> instance backed by the OpenAI Assistant service.</returns>
|
||||
/// <exception cref="ArgumentNullException">Thrown when <paramref name="client"/> or <paramref name="model"/> is <see langword="null"/>.</exception>
|
||||
/// <exception cref="ArgumentException">Thrown when <paramref name="model"/> is empty or whitespace.</exception>
|
||||
[Obsolete("The Assistants API has been deprecated. Please use the Responses API instead.")]
|
||||
public static async Task<ChatClientAgent> CreateAIAgentAsync(
|
||||
this AssistantClient client,
|
||||
string model,
|
||||
string? instructions = null,
|
||||
string? name = null,
|
||||
string? description = null,
|
||||
IList<AITool>? tools = null,
|
||||
Func<IChatClient, IChatClient>? clientFactory = null,
|
||||
ILoggerFactory? loggerFactory = null,
|
||||
IServiceProvider? services = null,
|
||||
CancellationToken cancellationToken = default) =>
|
||||
await client.CreateAIAgentAsync(model,
|
||||
new ChatClientAgentOptions()
|
||||
{
|
||||
Name = name,
|
||||
Description = description,
|
||||
ChatOptions = tools is null && string.IsNullOrWhiteSpace(instructions) ? null : new ChatOptions()
|
||||
{
|
||||
Tools = tools,
|
||||
Instructions = instructions,
|
||||
}
|
||||
},
|
||||
clientFactory,
|
||||
loggerFactory,
|
||||
services,
|
||||
cancellationToken).ConfigureAwait(false);
|
||||
|
||||
/// <summary>
|
||||
/// Creates an AI agent from an <see cref="AssistantClient"/> using the OpenAI Assistant API.
|
||||
/// </summary>
|
||||
/// <param name="client">The OpenAI <see cref="AssistantClient" /> to use for the agent.</param>
|
||||
/// <param name="model">The model identifier to use (e.g., "gpt-4").</param>
|
||||
/// <param name="options">Full set of options to configure the agent.</param>
|
||||
/// <param name="clientFactory">Provides a way to customize the creation of the underlying <see cref="IChatClient"/> used by the agent.</param>
|
||||
/// <param name="loggerFactory">Optional logger factory for enabling logging within the agent.</param>
|
||||
/// <param name="services">An optional <see cref="IServiceProvider"/> to use for resolving services required by the <see cref="AIFunction"/> instances being invoked.</param>
|
||||
/// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
|
||||
/// <returns>An <see cref="ChatClientAgent"/> instance backed by the OpenAI Assistant service.</returns>
|
||||
/// <exception cref="ArgumentNullException">Thrown when <paramref name="client"/> or <paramref name="model"/> is <see langword="null"/>.</exception>
|
||||
/// <exception cref="ArgumentException">Thrown when <paramref name="model"/> is empty or whitespace.</exception>
|
||||
[Obsolete("The Assistants API has been deprecated. Please use the Responses API instead.")]
|
||||
public static async Task<ChatClientAgent> CreateAIAgentAsync(
|
||||
this AssistantClient client,
|
||||
string model,
|
||||
ChatClientAgentOptions options,
|
||||
Func<IChatClient, IChatClient>? clientFactory = null,
|
||||
ILoggerFactory? loggerFactory = null,
|
||||
IServiceProvider? services = null,
|
||||
CancellationToken cancellationToken = default)
|
||||
{
|
||||
Throw.IfNull(client);
|
||||
Throw.IfNull(model);
|
||||
Throw.IfNull(options);
|
||||
|
||||
var assistantOptions = new AssistantCreationOptions()
|
||||
{
|
||||
Name = options.Name,
|
||||
Description = options.Description,
|
||||
Instructions = options.ChatOptions?.Instructions,
|
||||
};
|
||||
|
||||
// Convert AITools to ToolDefinitions and ToolResources
|
||||
var toolDefinitionsAndResources = ConvertAIToolsToToolDefinitions(options.ChatOptions?.Tools);
|
||||
if (toolDefinitionsAndResources.ToolDefinitions is { Count: > 0 } toolDefinitions)
|
||||
{
|
||||
toolDefinitions.ForEach(x => assistantOptions.Tools.Add(x));
|
||||
}
|
||||
if (toolDefinitionsAndResources.ToolResources is not null)
|
||||
{
|
||||
assistantOptions.ToolResources = toolDefinitionsAndResources.ToolResources;
|
||||
}
|
||||
|
||||
// Create the assistant in the assistant service.
|
||||
var assistantCreateResult = await client.CreateAssistantAsync(model, assistantOptions, cancellationToken).ConfigureAwait(false);
|
||||
var assistantId = assistantCreateResult.Value.Id;
|
||||
|
||||
// Build the local agent object.
|
||||
var chatClient = client.AsIChatClient(assistantId);
|
||||
if (clientFactory is not null)
|
||||
{
|
||||
chatClient = clientFactory(chatClient);
|
||||
}
|
||||
|
||||
var agentOptions = options.Clone();
|
||||
agentOptions.Id = assistantId;
|
||||
options.ChatOptions ??= new ChatOptions();
|
||||
options.ChatOptions!.Tools = toolDefinitionsAndResources.FunctionToolsAndOtherTools;
|
||||
|
||||
return new ChatClientAgent(chatClient, agentOptions, loggerFactory, services);
|
||||
}
|
||||
|
||||
private static (List<ToolDefinition>? ToolDefinitions, ToolResources? ToolResources, List<AITool>? FunctionToolsAndOtherTools) ConvertAIToolsToToolDefinitions(IList<AITool>? tools)
|
||||
{
|
||||
List<ToolDefinition>? toolDefinitions = null;
|
||||
ToolResources? toolResources = null;
|
||||
List<AITool>? functionToolsAndOtherTools = null;
|
||||
|
||||
if (tools is not null)
|
||||
{
|
||||
foreach (AITool tool in tools)
|
||||
{
|
||||
switch (tool)
|
||||
{
|
||||
case HostedCodeInterpreterTool codeTool:
|
||||
|
||||
toolDefinitions ??= [];
|
||||
toolDefinitions.Add(new CodeInterpreterToolDefinition());
|
||||
|
||||
if (codeTool.Inputs is { Count: > 0 })
|
||||
{
|
||||
foreach (var input in codeTool.Inputs)
|
||||
{
|
||||
switch (input)
|
||||
{
|
||||
case HostedFileContent hostedFile:
|
||||
// If the input is a HostedFileContent, we can use its ID directly.
|
||||
toolResources ??= new();
|
||||
toolResources.CodeInterpreter ??= new();
|
||||
toolResources.CodeInterpreter.FileIds.Add(hostedFile.FileId);
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
break;
|
||||
|
||||
case HostedFileSearchTool fileSearchTool:
|
||||
toolDefinitions ??= [];
|
||||
toolDefinitions.Add(new FileSearchToolDefinition
|
||||
{
|
||||
MaxResults = fileSearchTool.MaximumResultCount,
|
||||
});
|
||||
|
||||
if (fileSearchTool.Inputs is { Count: > 0 })
|
||||
{
|
||||
foreach (var input in fileSearchTool.Inputs)
|
||||
{
|
||||
switch (input)
|
||||
{
|
||||
case HostedVectorStoreContent hostedVectorStore:
|
||||
toolResources ??= new();
|
||||
toolResources.FileSearch ??= new();
|
||||
toolResources.FileSearch.VectorStoreIds.Add(hostedVectorStore.VectorStoreId);
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
break;
|
||||
|
||||
default:
|
||||
functionToolsAndOtherTools ??= [];
|
||||
functionToolsAndOtherTools.Add(tool);
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return (toolDefinitions, toolResources, functionToolsAndOtherTools);
|
||||
}
|
||||
}
|
||||
@@ -26,7 +26,6 @@ internal static class DiagnosticIds
|
||||
// We use the same IDs so consumers do not need to suppress additional diagnostics
|
||||
// when using the experimental OpenAI APIs.
|
||||
internal const string AIOpenAIResponses = "OPENAI001";
|
||||
internal const string AIOpenAIAssistants = "OPENAI001";
|
||||
|
||||
private const string MEAIExperiments = "MEAI001";
|
||||
}
|
||||
|
||||
-1013
File diff suppressed because it is too large
Load Diff
-268
@@ -1,268 +0,0 @@
|
||||
// Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
#pragma warning disable CS0618 // Type or member is obsolete - Testing deprecated OpenAI Assistants API extension methods
|
||||
|
||||
using System;
|
||||
using System.Diagnostics;
|
||||
using System.IO;
|
||||
using System.Threading.Tasks;
|
||||
using AgentConformance.IntegrationTests.Support;
|
||||
using Microsoft.Agents.AI;
|
||||
using Microsoft.Extensions.AI;
|
||||
using OpenAI;
|
||||
using OpenAI.Assistants;
|
||||
using OpenAI.Files;
|
||||
using OpenAI.VectorStores;
|
||||
using Shared.IntegrationTests;
|
||||
|
||||
namespace OpenAIAssistant.IntegrationTests;
|
||||
|
||||
public class OpenAIAssistantClientExtensionsTests
|
||||
{
|
||||
private const string SkipCodeInterpreterReason = "OpenAI Assistant Code Interpreter intermittently fails in CI";
|
||||
|
||||
private readonly AssistantClient _assistantClient = new OpenAIClient(TestConfiguration.GetRequiredValue(TestSettings.OpenAIApiKey)).GetAssistantClient();
|
||||
private readonly OpenAIFileClient _fileClient = new OpenAIClient(TestConfiguration.GetRequiredValue(TestSettings.OpenAIApiKey)).GetOpenAIFileClient();
|
||||
|
||||
[Theory]
|
||||
[InlineData("CreateWithChatClientAgentOptionsAsync")]
|
||||
[InlineData("CreateWithChatClientAgentOptionsSync")]
|
||||
[InlineData("CreateWithParamsAsync")]
|
||||
public async Task CreateAIAgentAsync_WithAIFunctionTool_InvokesFunctionAsync(string createMechanism)
|
||||
{
|
||||
// Arrange
|
||||
const string AgentInstructions = "You are a helpful weather assistant. Always call the GetWeather function to answer questions about weather.";
|
||||
|
||||
static string GetWeather(string location) => $"The weather in {location} is sunny with a high of 23C.";
|
||||
var weatherFunction = AIFunctionFactory.Create(GetWeather, nameof(GetWeather));
|
||||
|
||||
// Act
|
||||
var agent = createMechanism switch
|
||||
{
|
||||
"CreateWithChatClientAgentOptionsAsync" => await this._assistantClient.CreateAIAgentAsync(
|
||||
model: TestConfiguration.GetRequiredValue(TestSettings.OpenAIChatModelName),
|
||||
options: new ChatClientAgentOptions()
|
||||
{
|
||||
ChatOptions = new()
|
||||
{
|
||||
Instructions = AgentInstructions,
|
||||
Tools = [weatherFunction]
|
||||
}
|
||||
}),
|
||||
"CreateWithChatClientAgentOptionsSync" => await this._assistantClient.CreateAIAgentAsync(
|
||||
model: TestConfiguration.GetRequiredValue(TestSettings.OpenAIChatModelName),
|
||||
options: new ChatClientAgentOptions()
|
||||
{
|
||||
ChatOptions = new()
|
||||
{
|
||||
Instructions = AgentInstructions,
|
||||
Tools = [weatherFunction]
|
||||
}
|
||||
}),
|
||||
"CreateWithParamsAsync" => await this._assistantClient.CreateAIAgentAsync(
|
||||
model: TestConfiguration.GetRequiredValue(TestSettings.OpenAIChatModelName),
|
||||
instructions: AgentInstructions,
|
||||
tools: [weatherFunction]),
|
||||
_ => throw new InvalidOperationException($"Unknown create mechanism: {createMechanism}")
|
||||
};
|
||||
|
||||
try
|
||||
{
|
||||
// Trigger function call.
|
||||
var response = await agent.RunAsync("What is the weather like in Amsterdam?");
|
||||
var text = response.Text;
|
||||
|
||||
// Assert
|
||||
Assert.Contains("Amsterdam", text, StringComparison.OrdinalIgnoreCase);
|
||||
Assert.Contains("sunny", text, StringComparison.OrdinalIgnoreCase);
|
||||
Assert.Contains("23", text, StringComparison.OrdinalIgnoreCase);
|
||||
}
|
||||
finally
|
||||
{
|
||||
await this._assistantClient.DeleteAssistantAsync(agent.Id);
|
||||
}
|
||||
}
|
||||
|
||||
[Theory(Skip = SkipCodeInterpreterReason)]
|
||||
[InlineData("CreateWithChatClientAgentOptionsAsync")]
|
||||
[InlineData("CreateWithChatClientAgentOptionsSync")]
|
||||
[InlineData("CreateWithParamsAsync")]
|
||||
public async Task CreateAIAgentAsync_WithHostedCodeInterpreter_RunsCodeAsync(string createMechanism)
|
||||
{
|
||||
// Arrange
|
||||
const string Instructions = "Use the Code Interpreter Tool to run the uploaded python file and respond only with the secret number.";
|
||||
|
||||
// Create a python file that prints a known value.
|
||||
var codeFilePath = Path.GetTempFileName() + "openai_secret_number.py";
|
||||
File.WriteAllText(
|
||||
path: codeFilePath,
|
||||
contents: "print(\"OPENAI_SECRET=13579\")" // Deterministic output we will look for.
|
||||
);
|
||||
|
||||
// Upload file to OpenAI Assistants file store for use with the Code Interpreter.
|
||||
var uploadResult = await this._fileClient.UploadFileAsync(codeFilePath, FileUploadPurpose.Assistants);
|
||||
string uploadedFileId = uploadResult.Value.Id;
|
||||
var codeInterpreterTool = new HostedCodeInterpreterTool() { Inputs = [new HostedFileContent(uploadedFileId)] };
|
||||
|
||||
var agent = createMechanism switch
|
||||
{
|
||||
"CreateWithChatClientAgentOptionsAsync" => await this._assistantClient.CreateAIAgentAsync(
|
||||
model: TestConfiguration.GetRequiredValue(TestSettings.OpenAIChatModelName),
|
||||
options: new ChatClientAgentOptions()
|
||||
{
|
||||
ChatOptions = new()
|
||||
{
|
||||
Instructions = Instructions,
|
||||
Tools = [codeInterpreterTool]
|
||||
}
|
||||
}),
|
||||
"CreateWithChatClientAgentOptionsSync" => await this._assistantClient.CreateAIAgentAsync(
|
||||
model: TestConfiguration.GetRequiredValue(TestSettings.OpenAIChatModelName),
|
||||
options: new ChatClientAgentOptions()
|
||||
{
|
||||
ChatOptions = new()
|
||||
{
|
||||
Instructions = Instructions,
|
||||
Tools = [codeInterpreterTool]
|
||||
}
|
||||
}),
|
||||
"CreateWithParamsAsync" => await this._assistantClient.CreateAIAgentAsync(
|
||||
model: TestConfiguration.GetRequiredValue(TestSettings.OpenAIChatModelName),
|
||||
instructions: Instructions,
|
||||
tools: [codeInterpreterTool]),
|
||||
_ => throw new InvalidOperationException($"Unknown create mechanism: {createMechanism}")
|
||||
};
|
||||
|
||||
try
|
||||
{
|
||||
var response = await agent.RunAsync("What is the OPENAI_SECRET number?");
|
||||
var text = response.ToString();
|
||||
Assert.Contains("13579", text);
|
||||
}
|
||||
finally
|
||||
{
|
||||
await this._assistantClient.DeleteAssistantAsync(agent.Id);
|
||||
await this._fileClient.DeleteFileAsync(uploadedFileId);
|
||||
File.Delete(codeFilePath);
|
||||
}
|
||||
}
|
||||
|
||||
[Theory(Skip = "For manual testing only")]
|
||||
[InlineData("CreateWithChatClientAgentOptionsAsync")]
|
||||
[InlineData("CreateWithChatClientAgentOptionsSync")]
|
||||
[InlineData("CreateWithParamsAsync")]
|
||||
public async Task CreateAIAgentAsync_WithHostedFileSearchTool_SearchesFilesAsync(string createMechanism)
|
||||
{
|
||||
// Arrange.
|
||||
const string Instructions = """
|
||||
You are a helpful agent that can help fetch data from files you know about.
|
||||
Use the File Search Tool to look up codes for words.
|
||||
Do not answer a question unless you can find the answer using the File Search Tool.
|
||||
""";
|
||||
|
||||
// Create a local file with deterministic content and upload it.
|
||||
var searchFilePath = Path.GetTempFileName() + "wordcodelookup.txt";
|
||||
File.WriteAllText(
|
||||
path: searchFilePath,
|
||||
contents: "The word 'apple' uses the code 442345, while the word 'banana' uses the code 673457.");
|
||||
var uploadResult = await this._fileClient.UploadFileAsync(searchFilePath, FileUploadPurpose.Assistants);
|
||||
string uploadedFileId = uploadResult.Value.Id;
|
||||
|
||||
// Create a vector store backing the file search (HostedFileSearchTool requires a vector store id).
|
||||
var vectorStoreClient = new OpenAIClient(TestConfiguration.GetRequiredValue(TestSettings.OpenAIApiKey)).GetVectorStoreClient();
|
||||
var vectorStoreCreate = await vectorStoreClient.CreateVectorStoreAsync(options: new VectorStoreCreationOptions()
|
||||
{
|
||||
Name = "WordCodeLookup_VectorStore",
|
||||
FileIds = { uploadedFileId }
|
||||
});
|
||||
string vectorStoreId = vectorStoreCreate.Value.Id;
|
||||
|
||||
// Wait for vector store indexing to complete before using it
|
||||
await WaitForVectorStoreReadyAsync(vectorStoreClient, vectorStoreId);
|
||||
|
||||
var fileSearchTool = new HostedFileSearchTool() { Inputs = [new HostedVectorStoreContent(vectorStoreId)] };
|
||||
|
||||
var agent = createMechanism switch
|
||||
{
|
||||
"CreateWithChatClientAgentOptionsAsync" => await this._assistantClient.CreateAIAgentAsync(
|
||||
model: TestConfiguration.GetRequiredValue(TestSettings.OpenAIChatModelName),
|
||||
options: new ChatClientAgentOptions()
|
||||
{
|
||||
ChatOptions = new()
|
||||
{
|
||||
Instructions = Instructions,
|
||||
Tools = [fileSearchTool]
|
||||
}
|
||||
}),
|
||||
"CreateWithChatClientAgentOptionsSync" => await this._assistantClient.CreateAIAgentAsync(
|
||||
model: TestConfiguration.GetRequiredValue(TestSettings.OpenAIChatModelName),
|
||||
options: new ChatClientAgentOptions()
|
||||
{
|
||||
ChatOptions = new()
|
||||
{
|
||||
Instructions = Instructions,
|
||||
Tools = [fileSearchTool]
|
||||
}
|
||||
}),
|
||||
"CreateWithParamsAsync" => await this._assistantClient.CreateAIAgentAsync(
|
||||
model: TestConfiguration.GetRequiredValue(TestSettings.OpenAIChatModelName),
|
||||
instructions: Instructions,
|
||||
tools: [fileSearchTool]),
|
||||
_ => throw new InvalidOperationException($"Unknown create mechanism: {createMechanism}")
|
||||
};
|
||||
|
||||
try
|
||||
{
|
||||
// Act - ask about banana code which must be retrieved via file search.
|
||||
var response = await agent.RunAsync("Can you give me the documented code for 'banana'?");
|
||||
var text = response.ToString();
|
||||
Assert.Contains("673457", text);
|
||||
}
|
||||
finally
|
||||
{
|
||||
await this._assistantClient.DeleteAssistantAsync(agent.Id);
|
||||
await vectorStoreClient.DeleteVectorStoreAsync(vectorStoreId);
|
||||
await this._fileClient.DeleteFileAsync(uploadedFileId);
|
||||
File.Delete(searchFilePath);
|
||||
}
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Waits for a vector store to complete indexing by polling its status.
|
||||
/// </summary>
|
||||
/// <param name="client">The vector store client.</param>
|
||||
/// <param name="vectorStoreId">The ID of the vector store.</param>
|
||||
/// <param name="maxWaitSeconds">Maximum time to wait in seconds (default: 30).</param>
|
||||
/// <returns>A task that completes when the vector store is ready or throws on timeout/failure.</returns>
|
||||
private static async Task WaitForVectorStoreReadyAsync(
|
||||
VectorStoreClient client,
|
||||
string vectorStoreId,
|
||||
int maxWaitSeconds = 30)
|
||||
{
|
||||
Stopwatch sw = Stopwatch.StartNew();
|
||||
while (sw.Elapsed.TotalSeconds < maxWaitSeconds)
|
||||
{
|
||||
VectorStore vectorStore = await client.GetVectorStoreAsync(vectorStoreId);
|
||||
VectorStoreStatus status = vectorStore.Status;
|
||||
|
||||
if (status == VectorStoreStatus.Completed)
|
||||
{
|
||||
if (vectorStore.FileCounts.Failed > 0)
|
||||
{
|
||||
throw new InvalidOperationException("Vector store indexing failed for some files");
|
||||
}
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
if (status == VectorStoreStatus.Expired)
|
||||
{
|
||||
throw new InvalidOperationException("Vector store has expired");
|
||||
}
|
||||
|
||||
await Task.Delay(1000);
|
||||
}
|
||||
|
||||
throw new TimeoutException($"Vector store did not complete indexing within {maxWaitSeconds}s");
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user