chore: import upstream snapshot with attribution
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// Copyright (c) Microsoft. All rights reserved.
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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.Diagnostics;
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namespace Anthropic.Services;
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/// <summary>
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/// Provides extension methods for the <see cref="IBetaService"/> class.
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/// </summary>
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public static class AnthropicBetaServiceExtensions
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{
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/// <summary>
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/// Specifies the default maximum number of tokens allowed for processing operations.
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/// </summary>
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public static int DefaultMaxTokens { get; set; } = 4096;
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/// <summary>
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/// Creates a new AI agent using the specified model and options.
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/// </summary>
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/// <param name="betaService">The Anthropic beta service.</param>
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/// <param name="model">The model to use for chat completions.</param>
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/// <param name="instructions">The instructions for the AI agent.</param>
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/// <param name="name">The name of the AI agent.</param>
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/// <param name="description">The description of the AI agent.</param>
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/// <param name="tools">The tools available to the AI agent.</param>
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/// <param name="defaultMaxTokens">The default maximum tokens for chat completions. Defaults to <see cref="DefaultMaxTokens"/> if not provided.</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="loggerFactory">Optional logger factory for enabling logging within 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>The created <see cref="ChatClientAgent"/> AI agent.</returns>
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public static ChatClientAgent AsAIAgent(
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this IBetaService betaService,
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string model,
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string? instructions = null,
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string? name = null,
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string? description = null,
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IList<AITool>? tools = null,
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int? defaultMaxTokens = null,
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Func<IChatClient, IChatClient>? clientFactory = null,
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ILoggerFactory? loggerFactory = null,
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IServiceProvider? services = null)
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{
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var options = new ChatClientAgentOptions
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{
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Name = name,
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Description = description,
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};
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if (!string.IsNullOrWhiteSpace(instructions))
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{
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options.ChatOptions ??= new();
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options.ChatOptions.Instructions = instructions;
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}
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if (tools is { Count: > 0 })
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{
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options.ChatOptions ??= new();
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options.ChatOptions.Tools = tools;
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}
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var chatClient = betaService.AsIChatClient(model, defaultMaxTokens ?? DefaultMaxTokens);
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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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return new ChatClientAgent(chatClient, options, loggerFactory, services);
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}
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/// <summary>
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/// Creates an AI agent from an <see cref="IBetaService"/> using the Anthropic Chat Completion API.
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/// </summary>
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/// <param name="betaService">The Anthropic <see cref="IBetaService"/> to use for the agent.</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="loggerFactory">Optional logger factory for enabling logging within 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>An <see cref="ChatClientAgent"/> instance backed by the Anthropic Chat Completion service.</returns>
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/// <exception cref="ArgumentNullException">Thrown when <paramref name="betaService"/> or <paramref name="options"/> is <see langword="null"/>.</exception>
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public static ChatClientAgent AsAIAgent(
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this IBetaService betaService,
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ChatClientAgentOptions options,
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Func<IChatClient, IChatClient>? clientFactory = null,
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ILoggerFactory? loggerFactory = null,
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IServiceProvider? services = null)
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{
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Throw.IfNull(betaService);
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Throw.IfNull(options);
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var chatClient = betaService.AsIChatClient();
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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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return new ChatClientAgent(chatClient, options, loggerFactory, services);
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}
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}
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