mirror of
https://github.com/MindWorkAI/AI-Studio.git
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109 lines
5.6 KiB
C#
109 lines
5.6 KiB
C#
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using AIStudio.Models;
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using AIStudio.Models.Registry;
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using AIStudio.Provider;
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using AIStudio.Settings;
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namespace AIStudio.Tests.Models;
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/// <summary>
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/// Checks which tokenizer the rules name for a model.
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/// </summary>
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/// <remarks>
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/// Naming one changes nothing about the counting today: AI Studio counts with the tokenizer it
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/// ships unless somebody points it at a tokenizer.json file, and none of the references below is
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/// such a file. What they are for is the sentence in the provider dialog, which until now let a
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/// person guess -- including the ones who go looking for a file which was never published.
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///
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/// The kind matters as much as the name, and that is what the cases here pin. "o200k_base" is an
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/// encoding nobody can download, "/v1/messages/count_tokens" is an endpoint nobody can select in a
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/// file dialog, and telling them apart is the whole point of recording the kind alongside the name.
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/// </remarks>
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[TestFixture]
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public sealed class TokenizerRuleTests
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{
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[TestCase(LLMProviders.OPEN_AI, "gpt-5.1", "o200k_base")]
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[TestCase(LLMProviders.OPEN_AI, "gpt-5.6", "o200k_base", Description = "Every model of the 5 line inherits the encoding of its prefix.")]
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[TestCase(LLMProviders.OPEN_AI, "gpt-5-chat-latest", "o200k_base")]
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[TestCase(LLMProviders.OPEN_AI, "gpt-4o", "o200k_base")]
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[TestCase(LLMProviders.OPEN_AI, "gpt-4o-mini-search-preview", "o200k_base", Description = "Stated in full rather than inherited, so it has to say this itself.")]
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[TestCase(LLMProviders.OPEN_AI, "o1", "o200k_base")]
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[TestCase(LLMProviders.OPEN_AI, "o1-mini", "o200k_base")]
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[TestCase(LLMProviders.OPEN_AI, "o3-mini", "o200k_base")]
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[TestCase(LLMProviders.OPEN_AI, "o4-mini", "o200k_base")]
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[TestCase(LLMProviders.OPEN_AI, "gpt-4", "cl100k_base", Description = "The older encoding, which is where the 4 line stayed.")]
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[TestCase(LLMProviders.OPEN_AI, "gpt-4-turbo", "cl100k_base")]
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[TestCase(LLMProviders.OPEN_AI, "gpt-3.5-turbo", "cl100k_base")]
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[TestCase(LLMProviders.OPEN_AI, "text-embedding-3-small", "cl100k_base", Description = "The embedding models stayed on the older encoding as well, and their dialog asks the same question.")]
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[TestCase(LLMProviders.OPEN_AI, "text-embedding-3-large", "cl100k_base")]
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[TestCase(LLMProviders.OPEN_AI, "text-embedding-ada-002", "cl100k_base")]
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public void OpenAINamesAnEncodingRatherThanAFile(LLMProviders provider, string modelId, string encoding)
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{
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var tokenizer = provider.GetModelProfile(new Model(modelId, null)).Tokenizer;
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Assert.Multiple(() =>
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{
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Assert.That(tokenizer.Kind, Is.EqualTo(TokenizerKind.TIKTOKEN));
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Assert.That(tokenizer.Id, Is.EqualTo(encoding));
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});
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}
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[TestCase(LLMProviders.ANTHROPIC, "claude-opus-5", "/v1/messages/count_tokens")]
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[TestCase(LLMProviders.ANTHROPIC, "claude-3-5-haiku-latest", "/v1/messages/count_tokens")]
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[TestCase(LLMProviders.GOOGLE, "gemini-3-pro", "countTokens")]
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[TestCase(LLMProviders.GOOGLE, "gemini-2.5-flash-lite", "countTokens")]
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public void AnthropicAndGoogleNameAnEndpointBecauseTheyPublishNoFile(LLMProviders provider, string modelId, string endpoint)
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{
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var tokenizer = provider.GetModelProfile(new Model(modelId, null)).Tokenizer;
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Assert.Multiple(() =>
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{
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Assert.That(tokenizer.Kind, Is.EqualTo(TokenizerKind.PROVIDER_API));
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Assert.That(tokenizer.Id, Is.EqualTo(endpoint));
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});
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}
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[TestCase(LLMProviders.OPEN_AI, "gpt-6-astra", Description = "Newer than the mapping OpenAI publishes, so nothing is claimed for it.")]
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[TestCase(LLMProviders.OPEN_AI, "gpt-oss-120b", Description = "Open weights, and not in OpenAI's encoding table either.")]
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[TestCase(LLMProviders.SELF_HOSTED, "some-model-nobody-wrote-a-rule-for")]
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[TestCase(LLMProviders.MISTRAL, "mistral-large-2512")]
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public void AModelNobodyNamedATokenizerForSaysSo(LLMProviders provider, string modelId)
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{
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var tokenizer = provider.GetModelProfile(new Model(modelId, null)).Tokenizer;
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Assert.Multiple(() =>
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{
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Assert.That(tokenizer.IsKnown, Is.False);
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Assert.That(tokenizer.Kind, Is.EqualTo(TokenizerKind.UNKNOWN), "Which means the built-in tokenizer, the same as today.");
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});
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}
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[Test]
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public void TheSameModelThroughAGatewayKeepsItsTokenizer()
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{
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//
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// A gateway cuts what its transport cannot carry, which is about APIs. Which tokenizer a
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// model was trained with is a property of the model and survives the trip.
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//
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var directly = ModelRegistry.Shared.Profile(LLMProviders.OPEN_AI, "gpt-5.1");
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var throughAGateway = ModelRegistry.Shared.Profile(LLMProviders.OPEN_ROUTER, "openai/gpt-5.1");
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Assert.That(throughAGateway.Tokenizer, Is.EqualTo(directly.Tokenizer));
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}
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[Test]
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public void ANameWithoutAKindIsNotAReference()
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{
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//
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// Both halves have to be there. A kind without a name says nothing to act on, and a name
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// without a kind cannot be told apart from any other string -- whether it is a repository,
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// an encoding or an endpoint decides what a person can do with it.
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//
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Assert.Multiple(() =>
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{
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Assert.That(new TokenizerRef(TokenizerKind.HUGGING_FACE, string.Empty).IsKnown, Is.False);
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Assert.That(new TokenizerRef(TokenizerKind.UNKNOWN, "o200k_base").IsKnown, Is.False);
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Assert.That(TokenizerRef.UNKNOWN.IsKnown, Is.False);
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Assert.That(new TokenizerRef(TokenizerKind.TIKTOKEN, "o200k_base").IsKnown, Is.True);
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});
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}
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}
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