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Implemented the Anthropic provider (#17)
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19
app/MindWork AI Studio/Provider/Anthropic/ChatRequest.cs
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19
app/MindWork AI Studio/Provider/Anthropic/ChatRequest.cs
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using AIStudio.Provider.OpenAI;
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namespace AIStudio.Provider.Anthropic;
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/// <summary>
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/// The Anthropic chat request model.
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/// </summary>
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/// <param name="Model">Which model to use for chat completion.</param>
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/// <param name="Messages">The chat messages.</param>
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/// <param name="MaxTokens">The maximum number of tokens to generate.</param>
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/// <param name="Stream">Whether to stream the chat completion.</param>
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/// <param name="System">The system prompt for the chat completion.</param>
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public readonly record struct ChatRequest(
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string Model,
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IList<Message> Messages,
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int MaxTokens,
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bool Stream,
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string System
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);
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app/MindWork AI Studio/Provider/Anthropic/ProviderAnthropic.cs
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app/MindWork AI Studio/Provider/Anthropic/ProviderAnthropic.cs
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using System.Runtime.CompilerServices;
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using System.Text;
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using System.Text.Json;
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using AIStudio.Chat;
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using AIStudio.Provider.OpenAI;
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using AIStudio.Settings;
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namespace AIStudio.Provider.Anthropic;
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public sealed class ProviderAnthropic() : BaseProvider("https://api.anthropic.com/v1/"), IProvider
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{
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private static readonly JsonSerializerOptions JSON_SERIALIZER_OPTIONS = new()
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{
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PropertyNamingPolicy = JsonNamingPolicy.SnakeCaseLower,
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};
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#region Implementation of IProvider
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public string Id => "Anthropic";
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public string InstanceName { get; set; } = "Anthropic";
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/// <inheritdoc />
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public async IAsyncEnumerable<string> StreamChatCompletion(IJSRuntime jsRuntime, SettingsManager settings, Model chatModel, ChatThread chatThread, [EnumeratorCancellation] CancellationToken token = default)
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{
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// Get the API key:
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var requestedSecret = await settings.GetAPIKey(jsRuntime, this);
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if(!requestedSecret.Success)
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yield break;
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// Prepare the Anthropic HTTP chat request:
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var chatRequest = JsonSerializer.Serialize(new ChatRequest
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{
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Model = chatModel.Id,
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// Build the messages:
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Messages = [..chatThread.Blocks.Where(n => n.ContentType is ContentType.TEXT && !string.IsNullOrWhiteSpace((n.Content as ContentText)?.Text)).Select(n => new Message
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{
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Role = n.Role switch
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{
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ChatRole.USER => "user",
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ChatRole.AI => "assistant",
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_ => "user",
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},
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Content = n.Content switch
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{
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ContentText text => text.Text,
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_ => string.Empty,
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}
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}).ToList()],
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System = chatThread.SystemPrompt,
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MaxTokens = 4_096,
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// Right now, we only support streaming completions:
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Stream = true,
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}, JSON_SERIALIZER_OPTIONS);
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// Build the HTTP post request:
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var request = new HttpRequestMessage(HttpMethod.Post, "messages");
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// Set the authorization header:
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request.Headers.Add("x-api-key", requestedSecret.Secret);
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// Set the Anthropic version:
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request.Headers.Add("anthropic-version", "2023-06-01");
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// Set the content:
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request.Content = new StringContent(chatRequest, Encoding.UTF8, "application/json");
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// Send the request with the ResponseHeadersRead option.
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// This allows us to read the stream as soon as the headers are received.
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// This is important because we want to stream the responses.
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var response = await this.httpClient.SendAsync(request, HttpCompletionOption.ResponseHeadersRead, token);
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// Open the response stream:
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var stream = await response.Content.ReadAsStreamAsync(token);
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// Add a stream reader to read the stream, line by line:
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var streamReader = new StreamReader(stream);
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// Read the stream, line by line:
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while(!streamReader.EndOfStream)
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{
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// Check if the token is canceled:
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if(token.IsCancellationRequested)
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yield break;
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// Read the next line:
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var line = await streamReader.ReadLineAsync(token);
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// Skip empty lines:
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if(string.IsNullOrWhiteSpace(line))
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continue;
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// Check for the end of the stream:
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if(line.StartsWith("event: message_stop", StringComparison.InvariantCulture))
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yield break;
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// Skip lines that do not start with "data: ". Regard
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// to the specification, we only want to read the data lines:
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if(!line.StartsWith("data: ", StringComparison.InvariantCulture))
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continue;
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// Ignore any type except "content_block_delta":
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if(!line.Contains("\"content_block_delta\"", StringComparison.InvariantCulture))
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continue;
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ResponseStreamLine anthropicResponse;
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try
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{
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// We know that the line starts with "data: ". Hence, we can
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// skip the first 6 characters to get the JSON data after that.
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var jsonData = line[6..];
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// Deserialize the JSON data:
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anthropicResponse = JsonSerializer.Deserialize<ResponseStreamLine>(jsonData, JSON_SERIALIZER_OPTIONS);
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}
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catch
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{
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// Skip invalid JSON data:
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continue;
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}
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// Skip empty responses:
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if(anthropicResponse == default || string.IsNullOrWhiteSpace(anthropicResponse.Delta.Text))
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continue;
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// Yield the response:
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yield return anthropicResponse.Delta.Text;
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}
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}
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#pragma warning disable CS1998 // Async method lacks 'await' operators and will run synchronously
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/// <inheritdoc />
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public async IAsyncEnumerable<ImageURL> StreamImageCompletion(IJSRuntime jsRuntime, SettingsManager settings, Model imageModel, string promptPositive, string promptNegative = FilterOperator.String.Empty, ImageURL referenceImageURL = default, [EnumeratorCancellation] CancellationToken token = default)
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{
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yield break;
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}
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#pragma warning restore CS1998 // Async method lacks 'await' operators and will run synchronously
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/// <inheritdoc />
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public Task<IEnumerable<Model>> GetTextModels(IJSRuntime jsRuntime, SettingsManager settings, string? apiKeyProvisional = null, CancellationToken token = default)
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{
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return Task.FromResult(new[]
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{
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new Model("claude-3-5-sonnet-20240620"),
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new Model("claude-3-opus-20240229"),
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new Model("claude-3-sonnet-20240229"),
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new Model("claude-3-haiku-20240307"),
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}.AsEnumerable());
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}
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#pragma warning disable CS1998 // Async method lacks 'await' operators and will run synchronously
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/// <inheritdoc />
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public Task<IEnumerable<Model>> GetImageModels(IJSRuntime jsRuntime, SettingsManager settings, string? apiKeyProvisional = null, CancellationToken token = default)
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{
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return Task.FromResult(Enumerable.Empty<Model>());
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}
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#pragma warning restore CS1998 // Async method lacks 'await' operators and will run synchronously
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#endregion
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}
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// ReSharper disable NotAccessedPositionalProperty.Global
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namespace AIStudio.Provider.Anthropic;
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/// <summary>
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/// Represents a response stream line.
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/// </summary>
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/// <param name="Type">The type of the response line.</param>
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/// <param name="Index">The index of the response line.</param>
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/// <param name="Delta">The delta of the response line.</param>
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public readonly record struct ResponseStreamLine(string Type, int Index, Delta Delta);
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/// <summary>
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/// The delta object of a response line.
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/// </summary>
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/// <param name="Type">The type of the delta.</param>
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/// <param name="Text">The text of the delta.</param>
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public readonly record struct Delta(string Type, string Text);
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@ -1,3 +1,4 @@
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using AIStudio.Provider.Anthropic;
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using AIStudio.Provider.OpenAI;
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using AIStudio.Provider.OpenAI;
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namespace AIStudio.Provider;
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namespace AIStudio.Provider;
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@ -9,6 +10,7 @@ public enum Providers
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{
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{
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NONE,
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NONE,
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OPEN_AI,
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OPEN_AI,
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ANTHROPIC,
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}
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}
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/// <summary>
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/// <summary>
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public static string ToName(this Providers provider) => provider switch
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public static string ToName(this Providers provider) => provider switch
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{
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{
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Providers.OPEN_AI => "OpenAI",
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Providers.OPEN_AI => "OpenAI",
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Providers.ANTHROPIC => "Anthropic",
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Providers.NONE => "No provider selected",
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Providers.NONE => "No provider selected",
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_ => "Unknown",
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_ => "Unknown",
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public static IProvider CreateProvider(this Providers provider, string instanceName) => provider switch
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public static IProvider CreateProvider(this Providers provider, string instanceName) => provider switch
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{
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{
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Providers.OPEN_AI => new ProviderOpenAI { InstanceName = instanceName },
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Providers.OPEN_AI => new ProviderOpenAI { InstanceName = instanceName },
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Providers.ANTHROPIC => new ProviderAnthropic { InstanceName = instanceName },
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_ => new NoProvider(),
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_ => new NoProvider(),
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};
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};
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