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Improved the OpenAI provider (#548)
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@@ -30,16 +30,20 @@ public sealed class ProviderOpenAI(ILogger logger) : BaseProvider("https://api.o
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yield break;
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// Unfortunately, OpenAI changed the name of the system prompt based on the model.
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// All models that start with "o" (the omni aka reasoning models) and all GPT4o models
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// have the system prompt named "developer". All other models have the system prompt
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// named "system". We need to check this to get the correct system prompt.
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// All models that start with "o" (the omni aka reasoning models), all GPT4o models,
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// and all newer models have the system prompt named "developer". All other models
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// have the system prompt named "system". We need to check this to get the correct
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// system prompt.
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//
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// To complicate it even more: The early versions of reasoning models, which are released
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// before the 17th of December 2024, have no system prompt at all. We need to check this
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// as well.
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// Apply the basic rule first:
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var systemPromptRole = chatModel.Id.StartsWith('o') || chatModel.Id.Contains("4o") ? "developer" : "system";
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var systemPromptRole =
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chatModel.Id.StartsWith('o') ||
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chatModel.Id.StartsWith("gpt-5", StringComparison.Ordinal) ||
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chatModel.Id.Contains("4o") ? "developer" : "system";
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// Check if the model is an early version of the reasoning models:
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systemPromptRole = chatModel.Id switch
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@@ -51,53 +55,113 @@ public sealed class ProviderOpenAI(ILogger logger) : BaseProvider("https://api.o
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_ => systemPromptRole,
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};
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this.logger.LogInformation($"Using the system prompt role '{systemPromptRole}' for model '{chatModel.Id}'.");
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// Read the model capabilities:
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var modelCapabilities = this.GetModelCapabilities(chatModel);
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// Check if we are using the Responses API or the Chat Completion API:
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var usingResponsesAPI = modelCapabilities.Contains(Capability.RESPONSES_API);
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// Prepare the request path based on the API we are using:
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var requestPath = usingResponsesAPI ? "responses" : "chat/completions";
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this.logger.LogInformation("Using the system prompt role '{SystemPromptRole}' and the '{RequestPath}' API for model '{ChatModelId}'.", systemPromptRole, requestPath, chatModel.Id);
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// Prepare the system prompt:
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var systemPrompt = new Message
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{
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Role = systemPromptRole,
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Content = chatThread.PrepareSystemPrompt(settingsManager, chatThread, this.logger),
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};
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// Prepare the OpenAI HTTP chat request:
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var openAIChatRequest = JsonSerializer.Serialize(new ChatRequest
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//
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// Prepare the tools we want to use:
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//
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IList<Tool> tools = modelCapabilities.Contains(Capability.WEB_SEARCH) switch
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{
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Model = chatModel.Id,
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// Build the messages:
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// - First of all the system prompt
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// - Then none-empty user and AI messages
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Messages = [systemPrompt, ..chatThread.Blocks.Where(n => n.ContentType is ContentType.TEXT && !string.IsNullOrWhiteSpace((n.Content as ContentText)?.Text)).Select(n => new Message
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true => [ Tools.WEB_SEARCH ],
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_ => []
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};
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//
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// Create the request: either for the Responses API or the Chat Completion API
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//
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var openAIChatRequest = usingResponsesAPI switch
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{
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// Chat Completion API request:
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false => JsonSerializer.Serialize(new ChatCompletionAPIRequest
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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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ChatRole.AGENT => "assistant",
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ChatRole.SYSTEM => systemPromptRole,
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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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Seed = chatThread.Seed,
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Model = chatModel.Id,
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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 messages:
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// - First of all the system prompt
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// - Then none-empty user and AI messages
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Messages = [systemPrompt, ..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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ChatRole.AGENT => "assistant",
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ChatRole.SYSTEM => systemPromptRole,
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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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// Right now, we only support streaming completions:
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Stream = true,
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}, JSON_SERIALIZER_OPTIONS),
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// Responses API request:
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true => JsonSerializer.Serialize(new ResponsesAPIRequest
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{
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Model = chatModel.Id,
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// Build the messages:
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// - First of all the system prompt
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// - Then none-empty user and AI messages
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Input = [systemPrompt, ..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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ChatRole.AGENT => "assistant",
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ChatRole.SYSTEM => systemPromptRole,
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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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// Right now, we only support streaming completions:
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Stream = true,
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// We do not want to store any data on OpenAI's servers:
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Store = false,
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// Tools we want to use:
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Tools = tools,
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}, JSON_SERIALIZER_OPTIONS),
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};
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async Task<HttpRequestMessage> RequestBuilder()
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{
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// Build the HTTP post request:
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var request = new HttpRequestMessage(HttpMethod.Post, "chat/completions");
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var request = new HttpRequestMessage(HttpMethod.Post, requestPath);
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// Set the authorization header:
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request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", await requestedSecret.Secret.Decrypt(ENCRYPTION));
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@@ -106,29 +170,35 @@ public sealed class ProviderOpenAI(ILogger logger) : BaseProvider("https://api.o
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request.Content = new StringContent(openAIChatRequest, Encoding.UTF8, "application/json");
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return request;
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}
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if (usingResponsesAPI)
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await foreach (var content in this.StreamResponsesInternal<ResponsesDeltaStreamLine, ResponsesAnnotationStreamLine>("OpenAI", RequestBuilder, token))
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yield return content;
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await foreach (var content in this.StreamChatCompletionInternal<ResponseStreamLine>("OpenAI", RequestBuilder, token))
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yield return content;
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else
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await foreach (var content in this.StreamChatCompletionInternal<ChatCompletionDeltaStreamLine, ChatCompletionAnnotationStreamLine>("OpenAI", RequestBuilder, token))
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yield return content;
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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 override async IAsyncEnumerable<ImageURL> StreamImageCompletion(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 override async Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)
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{
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var models = await this.LoadModels(["gpt-", "o1-", "o3-", "o4-"], token, apiKeyProvisional);
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var models = await this.LoadModels(["chatgpt-", "gpt-", "o1-", "o3-", "o4-"], token, apiKeyProvisional);
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return models.Where(model => !model.Id.Contains("image", StringComparison.OrdinalIgnoreCase) &&
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!model.Id.Contains("realtime", StringComparison.OrdinalIgnoreCase) &&
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!model.Id.Contains("audio", StringComparison.OrdinalIgnoreCase) &&
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!model.Id.Contains("tts", StringComparison.OrdinalIgnoreCase) &&
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!model.Id.Contains("transcribe", StringComparison.OrdinalIgnoreCase) &&
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!model.Id.Contains("o1-pro", StringComparison.OrdinalIgnoreCase));
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!model.Id.Contains("transcribe", StringComparison.OrdinalIgnoreCase));
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}
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/// <inheritdoc />
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@@ -147,6 +217,26 @@ public sealed class ProviderOpenAI(ILogger logger) : BaseProvider("https://api.o
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{
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var modelName = model.Id.ToLowerInvariant().AsSpan();
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if (modelName is "gpt-4o-search-preview")
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return
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[
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Capability.TEXT_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.WEB_SEARCH,
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Capability.CHAT_COMPLETION_API,
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];
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if (modelName is "gpt-4o-mini-search-preview")
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return
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[
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Capability.TEXT_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.WEB_SEARCH,
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Capability.CHAT_COMPLETION_API,
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];
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if (modelName.StartsWith("o1-mini"))
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return
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[
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@@ -154,32 +244,63 @@ public sealed class ProviderOpenAI(ILogger logger) : BaseProvider("https://api.o
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Capability.TEXT_OUTPUT,
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Capability.ALWAYS_REASONING,
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Capability.CHAT_COMPLETION_API,
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];
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if(modelName is "gpt-3.5-turbo")
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return
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[
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Capability.TEXT_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.RESPONSES_API,
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];
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if(modelName.StartsWith("gpt-3.5"))
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return
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[
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Capability.TEXT_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.CHAT_COMPLETION_API,
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];
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if (modelName.StartsWith("chatgpt-4o-"))
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return
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[
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Capability.TEXT_INPUT, Capability.MULTIPLE_IMAGE_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.RESPONSES_API,
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];
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if (modelName.StartsWith("o3-mini"))
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return
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[
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Capability.TEXT_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.ALWAYS_REASONING, Capability.FUNCTION_CALLING
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Capability.ALWAYS_REASONING, Capability.FUNCTION_CALLING,
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Capability.RESPONSES_API,
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];
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if (modelName.StartsWith("o4-mini") || modelName.StartsWith("o1") || modelName.StartsWith("o3"))
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if (modelName.StartsWith("o4-mini") || modelName.StartsWith("o3"))
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return
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[
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Capability.TEXT_INPUT, Capability.MULTIPLE_IMAGE_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.ALWAYS_REASONING, Capability.FUNCTION_CALLING
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Capability.ALWAYS_REASONING, Capability.FUNCTION_CALLING,
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Capability.WEB_SEARCH,
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Capability.RESPONSES_API,
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];
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if(modelName.StartsWith("gpt-3.5"))
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if (modelName.StartsWith("o1"))
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return
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[
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Capability.TEXT_INPUT,
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Capability.TEXT_OUTPUT,
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];
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[
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Capability.TEXT_INPUT, Capability.MULTIPLE_IMAGE_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.ALWAYS_REASONING, Capability.FUNCTION_CALLING,
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Capability.RESPONSES_API,
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];
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if(modelName.StartsWith("gpt-4-turbo"))
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return
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@@ -187,7 +308,8 @@ public sealed class ProviderOpenAI(ILogger logger) : BaseProvider("https://api.o
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Capability.TEXT_INPUT, Capability.MULTIPLE_IMAGE_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.FUNCTION_CALLING
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Capability.FUNCTION_CALLING,
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Capability.RESPONSES_API,
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];
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if(modelName is "gpt-4" || modelName.StartsWith("gpt-4-"))
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@@ -195,14 +317,37 @@ public sealed class ProviderOpenAI(ILogger logger) : BaseProvider("https://api.o
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[
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Capability.TEXT_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.RESPONSES_API,
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];
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if(modelName.StartsWith("gpt-5-nano"))
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return
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[
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Capability.TEXT_INPUT, Capability.MULTIPLE_IMAGE_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.FUNCTION_CALLING, Capability.ALWAYS_REASONING,
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Capability.RESPONSES_API,
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];
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if(modelName is "gpt-5" || modelName.StartsWith("gpt-5-"))
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return
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[
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Capability.TEXT_INPUT, Capability.MULTIPLE_IMAGE_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.FUNCTION_CALLING, Capability.ALWAYS_REASONING,
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Capability.WEB_SEARCH,
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Capability.RESPONSES_API,
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];
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return
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[
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Capability.TEXT_INPUT, Capability.MULTIPLE_IMAGE_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.FUNCTION_CALLING,
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Capability.RESPONSES_API,
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];
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}
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