AI-Studio/app/MindWork AI Studio/Models/OpenAI/OpenAIEmbeddingFamily.cs

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using AIStudio.Provider;
using static AIStudio.Provider.Capability;
namespace AIStudio.Models.OpenAI;
/// <summary>
/// OpenAI's embedding models, which turn text into a vector and answer nothing.
/// </summary>
/// <remarks>
/// The previous rules had no idea these existed. They fell through to the OpenAI fallback and were
/// told they see images, call functions, and search the web -- an answer with nothing right about
/// it, for models the app asks for through a separate method of its own.
///
/// The generation is named rather than the prefix "text-embedding": Google and Alibaba Cloud name
/// their own embedding models the same way, and those are their models, not these.
/// </remarks>
public sealed class OpenAIEmbeddingFamily : ModelFamily
{
/// <inheritdoc />
public override ModelVendor Vendor => ModelVendor.OPEN_AI;
/// <inheritdoc />
public override ModelSource Source => new("https://platform.openai.com/docs/guides/embeddings", new DateOnly(2026, 9, 11), "The app lists these under IProvider.GetEmbeddingModels, which is where the statement that they embed comes from.");
/// <inheritdoc />
public override IReadOnlyList<ModelSource> FurtherSources =>
[
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 names all three of these models -- text-embedding-3-small, text-embedding-3-large and text-embedding-ada-002 -- and maps every one of them to cl100k_base rather than to the newer o200k_base of the chat models.")
];
/// <inheritdoc />
protected override void Declare(ModelFamilyBuilder builder)
{
builder.Rule("text-embedding-3").AsPrefix()
.Capabilities(TEXT_INPUT | EMBEDDING)
.Kind(ModelKind.EMBEDDING)
.Tokenizer(TokenizerKind.TIKTOKEN, "cl100k_base");
builder.Rule("text-embedding-ada").AsPrefix().Inherits();
}
}