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45 lines
1.9 KiB
C#
45 lines
1.9 KiB
C#
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namespace AIStudio.Provider.OpenAI;
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/// <summary>
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/// Data model for a delta line in the chat completion response stream.
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/// </summary>
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/// <param name="Id">The id of the response.</param>
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/// <param name="Object">The object describing the response.</param>
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/// <param name="Created">The timestamp of the response.</param>
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/// <param name="Model">The model used for the response.</param>
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/// <param name="SystemFingerprint">The system fingerprint; together with the seed, this allows you to reproduce the response.</param>
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/// <param name="Choices">The choices made by the AI.</param>
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public record ChatCompletionDeltaStreamLine(string Id, string Object, uint Created, string Model, string SystemFingerprint, IList<ChatCompletionChoice> Choices) : IResponseStreamLine
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{
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public ChatCompletionDeltaStreamLine() : this(string.Empty, string.Empty, 0, string.Empty, string.Empty, [])
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{
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}
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/// <inheritdoc />
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public bool ContainsContent() => this.Choices.Count > 0;
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/// <inheritdoc />
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public ContentStreamChunk GetContent() => new(this.Choices[0].Delta.Content, []);
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#region Implementation of IAnnotationStreamLine
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//
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// Please note that there are multiple options where LLM providers might stream sources:
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//
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// - As part of the delta content while streaming. That would be part of this class.
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// - By using a dedicated stream event and data structure. That would be another class implementing IResponseStreamLine.
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//
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// Right now, OpenAI uses the latter approach, so we don't have any sources here. And
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// because no other provider does it yet, we don't have any implementation here either.
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//
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// One example where sources are part of the delta content is the Perplexity provider.
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//
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/// <inheritdoc />
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public bool ContainsSources() => false;
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/// <inheritdoc />
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public IList<ISource> GetSources() => [];
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#endregion
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}
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