mirror of
https://github.com/MindWorkAI/AI-Studio.git
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63 lines
3.0 KiB
C#
63 lines
3.0 KiB
C#
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using static AIStudio.Provider.Capability;
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namespace AIStudio.Models.OpenAI;
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/// <summary>
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/// The o-series: o1, o3, o4 and their minis, the models which reason before they answer.
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/// </summary>
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/// <remarks>
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/// Every one of them always reasons; what differs is how much else they can do, and the minis are
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/// consistently the ones which can do less. That the mini is not simply a smaller version of its
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/// generation is why each of them is stated in full: o1-mini has neither images nor tools and
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/// answers only through the chat completion API, while o3-mini has tools but no images.
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///
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/// The minis need no ordering: their patterns are longer, so they win over the generation they
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/// belong to without anybody saying which rule to try first.
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/// </remarks>
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public sealed class OSeriesFamily : ModelFamily
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{
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/// <inheritdoc />
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public override ModelVendor Vendor => ModelVendor.OPEN_AI;
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/// <inheritdoc />
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public override ModelSource Source => new("https://developers.openai.com/api/docs/models", new DateOnly(2026, 9, 12), "Capabilities ported unchanged from ProviderExtensions.OpenAI.cs, one rule per generation and one per mini. The o1 and o3 pages state 200,000 tokens; the two cut-down minis have no page of their own, so no window is stated for them.");
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/// <inheritdoc />
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public override IReadOnlyList<ModelSource> FurtherSources =>
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[
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new("https://github.com/openai/tiktoken/blob/main/tiktoken/model.py", new DateOnly(2026, 9, 12), "OpenAI's own mapping from model names to encodings. It maps \"o1\", \"o3\", \"o4-mini\" and the prefixes \"o1-\", \"o3-\" and \"o4-mini-\" to o200k_base, so the whole series shares one encoding.")
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];
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/// <inheritdoc />
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protected override void Declare(ModelFamilyBuilder builder)
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{
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builder.Rule("o1").AsPrefix()
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.Capabilities(TEXT_INPUT | MULTIPLE_IMAGE_INPUT | TEXT_OUTPUT | FUNCTION_CALLING)
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.Apis(RESPONSES_API)
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.Reasoning(ReasoningSupport.ALWAYS)
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.ContextWindow(200_000)
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.Tokenizer(TokenizerKind.TIKTOKEN, "o200k_base");
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builder.Rule("o1-mini").AsPrefix()
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.Capabilities(TEXT_INPUT | TEXT_OUTPUT)
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.Apis(CHAT_COMPLETION_API)
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.Reasoning(ReasoningSupport.ALWAYS)
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.Tokenizer(TokenizerKind.TIKTOKEN, "o200k_base");
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builder.Rule("o3").AsPrefix()
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.Capabilities(TEXT_INPUT | MULTIPLE_IMAGE_INPUT | TEXT_OUTPUT | FUNCTION_CALLING | WEB_SEARCH)
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.Apis(RESPONSES_API)
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.Reasoning(ReasoningSupport.ALWAYS)
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.ContextWindow(200_000)
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.Tokenizer(TokenizerKind.TIKTOKEN, "o200k_base");
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builder.Rule("o3-mini").AsPrefix()
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.Capabilities(TEXT_INPUT | TEXT_OUTPUT | FUNCTION_CALLING)
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.Apis(RESPONSES_API)
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.Reasoning(ReasoningSupport.ALWAYS)
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.Tokenizer(TokenizerKind.TIKTOKEN, "o200k_base");
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// The one mini which is not cut down: it is the o3 generation under another number.
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builder.Rule("o4-mini").AsPrefix().InheritsFrom("o3");
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}
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}
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