Rename AI Agent packages to use Microsoft.Agents.AI (#913)

* Rename AI Agent packages to use Microsoft.Agents.AI

* Fix for build

* Fix formatting

* Fix formatting

* Ignore in VSTHRD200 in migration samples

* Ignore in VSTHRD200 in migration samples

* Add some missing projects and run format

* Fix build errors

* Address code review feedback

* Fix merge issues

---------

Co-authored-by: Mark Wallace <markwallace@microsoft.com>
This commit is contained in:
Mark Wallace
2025-09-25 19:31:25 +00:00
committed by GitHub
co-authored by Mark Wallace
parent a480ccfd16
commit 32e054f1fe
332 changed files with 520 additions and 432 deletions
@@ -0,0 +1,257 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.Logging;
using Microsoft.Shared.Diagnostics;
using OpenAI.Assistants;
namespace OpenAI;
/// <summary>
/// Provides extension methods for OpenAI <see cref="AssistantClient"/>
/// to simplify the creation of AI agents that work with OpenAI services.
/// </summary>
/// <remarks>
/// These extensions bridge the gap between OpenAI SDK client objects and the Microsoft Extensions AI Agent framework,
/// allowing developers to easily create AI agents that leverage OpenAI's chat completion and response services.
/// The methods handle the conversion from OpenAI clients to <see cref="IChatClient"/> instances and then wrap them
/// in <see cref="ChatClientAgent"/> objects that implement the <see cref="AIAgent"/> interface.
/// </remarks>
public static class OpenAIAssistantClientExtensions
{
/// <summary>
/// Retrieves an existing server side agent, wrapped as a <see cref="ChatClientAgent"/> using the provided <see cref="AssistantClient"/>.
/// </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="chatOptions">Options that should apply to all runs of the agent.</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>
public static ChatClientAgent GetAIAgent(
this AssistantClient assistantClient,
string agentId,
ChatOptions? chatOptions = null,
CancellationToken cancellationToken = default)
{
if (assistantClient is null)
{
throw new ArgumentNullException(nameof(assistantClient));
}
if (string.IsNullOrWhiteSpace(agentId))
{
throw new ArgumentException($"{nameof(agentId)} should not be null or whitespace.", nameof(agentId));
}
var assistant = assistantClient.GetAssistant(agentId, cancellationToken);
return assistant.AsAIAgent(assistantClient, chatOptions);
}
/// <summary>
/// Retrieves an existing server side agent, wrapped as a <see cref="ChatClientAgent"/> using the provided <see cref="AssistantClient"/>.
/// </summary>
/// <param name="assistantClient">The <see cref="AssistantClient"/> to create the <see cref="ChatClientAgent"/> with.</param>
/// <param name="agentId"> The ID of the server side agent to create a <see cref="ChatClientAgent"/> for.</param>
/// <param name="chatOptions">Options that should apply to all runs of the agent.</param>
/// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
/// <returns>A <see cref="ChatClientAgent"/> instance that can be used to perform operations on the assistant agent.</returns>
public static async Task<ChatClientAgent> GetAIAgentAsync(
this AssistantClient assistantClient,
string agentId,
ChatOptions? chatOptions = null,
CancellationToken cancellationToken = default)
{
if (assistantClient is null)
{
throw new ArgumentNullException(nameof(assistantClient));
}
if (string.IsNullOrWhiteSpace(agentId))
{
throw new ArgumentException($"{nameof(agentId)} should not be null or whitespace.", nameof(agentId));
}
var assistanceResponse = await assistantClient.GetAssistantAsync(agentId, cancellationToken).ConfigureAwait(false);
return assistanceResponse.AsAIAgent(assistantClient, chatOptions);
}
/// <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="loggerFactory">Optional logger factory for enabling logging within the agent.</param>
/// <returns>An <see cref="AIAgent"/> 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>
public static AIAgent CreateAIAgent(this AssistantClient client, string model, string? instructions = null, string? name = null, string? description = null, IList<AITool>? tools = null, ILoggerFactory? loggerFactory = null) =>
client.CreateAIAgent(
model,
new ChatClientAgentOptions()
{
Name = name,
Description = description,
Instructions = instructions,
ChatOptions = tools is null ? null : new ChatOptions()
{
Tools = tools,
}
},
loggerFactory);
/// <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="loggerFactory">Optional logger factory for enabling logging within the agent.</param>
/// <returns>An <see cref="AIAgent"/> instance backed by the OpenAI Assistant service.</returns>
/// <exception cref="ArgumentNullException">Thrown when <paramref name="client"/> or <paramref name="model"/> or <paramref name="options"/> is <see langword="null"/>.</exception>
/// <exception cref="ArgumentException">Thrown when <paramref name="model"/> is empty or whitespace.</exception>
public static AIAgent CreateAIAgent(this AssistantClient client, string model, ChatClientAgentOptions options, ILoggerFactory? loggerFactory = null)
{
Throw.IfNull(client);
Throw.IfNullOrEmpty(model);
Throw.IfNull(options);
var assistantOptions = new AssistantCreationOptions()
{
Name = options.Name,
Description = options.Description,
Instructions = options.Instructions,
};
if (options.ChatOptions?.Tools is not null)
{
foreach (AITool tool in options.ChatOptions.Tools)
{
switch (tool)
{
// Attempting to set the tools at the agent level throws
// https://github.com/dotnet/extensions/issues/6743
//case AIFunction aiFunction:
// assistantOptions.Tools.Add(ToOpenAIAssistantsFunctionToolDefinition(aiFunction));
// break;
case HostedCodeInterpreterTool:
var codeInterpreterToolDefinition = new CodeInterpreterToolDefinition();
assistantOptions.Tools.Add(codeInterpreterToolDefinition);
break;
}
}
}
var assistantCreateResult = client.CreateAssistant(model, assistantOptions);
var assistantId = assistantCreateResult.Value.Id;
var agentOptions = new ChatClientAgentOptions()
{
Id = assistantId,
Name = options.Name,
Description = options.Description,
Instructions = options.Instructions,
ChatOptions = options.ChatOptions?.Tools is null ? null : new ChatOptions()
{
Tools = options.ChatOptions.Tools,
}
};
return new ChatClientAgent(client.AsIChatClient(assistantId), agentOptions, loggerFactory);
}
/// <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="loggerFactory">Optional logger factory for enabling logging within the agent.</param>
/// <returns>An <see cref="AIAgent"/> 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>
public static async Task<AIAgent> CreateAIAgentAsync(this AssistantClient client, string model, string? instructions = null, string? name = null, string? description = null, IList<AITool>? tools = null, ILoggerFactory? loggerFactory = null) =>
await client.CreateAIAgentAsync(
model,
new ChatClientAgentOptions()
{
Name = name,
Description = description,
Instructions = instructions,
ChatOptions = tools is null ? null : new ChatOptions()
{
Tools = tools,
}
},
loggerFactory).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="loggerFactory">Optional logger factory for enabling logging within the agent.</param>
/// <returns>An <see cref="AIAgent"/> 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>
public static async Task<AIAgent> CreateAIAgentAsync(this AssistantClient client, string model, ChatClientAgentOptions options, ILoggerFactory? loggerFactory = null)
{
Throw.IfNull(client);
Throw.IfNull(model);
Throw.IfNull(options);
var assistantOptions = new AssistantCreationOptions()
{
Name = options.Name,
Description = options.Description,
Instructions = options.Instructions,
};
if (options.ChatOptions?.Tools is not null)
{
foreach (AITool tool in options.ChatOptions.Tools)
{
switch (tool)
{
// Attempting to set the tools at the agent level throws
// https://github.com/dotnet/extensions/issues/6743
//case AIFunction aiFunction:
// assistantOptions.Tools.Add(ToOpenAIAssistantsFunctionToolDefinition(aiFunction));
// break;
case HostedCodeInterpreterTool:
var codeInterpreterToolDefinition = new CodeInterpreterToolDefinition();
assistantOptions.Tools.Add(codeInterpreterToolDefinition);
break;
}
}
}
var assistantCreateResult = await client.CreateAssistantAsync(model, assistantOptions).ConfigureAwait(false);
var assistantId = assistantCreateResult.Value.Id;
var agentOptions = new ChatClientAgentOptions()
{
Id = assistantId,
Name = options.Name,
Description = options.Description,
Instructions = options.Instructions,
ChatOptions = options.ChatOptions?.Tools is null ? null : new ChatOptions()
{
Tools = options.ChatOptions.Tools,
}
};
return new ChatClientAgent(client.AsIChatClient(assistantId), agentOptions, loggerFactory);
}
}