Rafał Tyński
03e2d66ca4
Add a pluggable LLM provider with an offline template fallback, prompt builder, contextual match scoring (area/location boosts, availability), per-solution explanations and in-memory request limiting for cost control.
24 lines
666 B
C#
24 lines
666 B
C#
namespace TarninaHub.Infrastructure.Llm;
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public sealed class LlmSettings
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{
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public bool Enabled { get; set; }
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/// <summary>Provider identifier, e.g. "openai" (OpenAI-compatible chat API).</summary>
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public string Provider { get; set; } = "openai";
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public string? ApiKey { get; set; }
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public string BaseUrl { get; set; } = "https://api.openai.com/v1";
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public string Model { get; set; } = "gpt-4o-mini";
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public int MaxTokens { get; set; } = 256;
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public int MaxRequestsPerMinute { get; set; } = 30;
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public int TimeoutSeconds { get; set; } = 20;
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public bool IsConfigured => Enabled && !string.IsNullOrWhiteSpace(ApiKey);
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}
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