116 lines
4.0 KiB
TypeScript
116 lines
4.0 KiB
TypeScript
import { useState, useEffect, useRef } from "react";
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interface LlmSettingsProps {
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settings: Record<string, any>;
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onSave: (key: string, value: any) => Promise<void>;
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saveError: string | null;
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}
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const DEFAULT_MODEL = "openai/gpt-oss-120b:free";
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const DEFAULT_TEMPERATURE = 0.7;
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const DEFAULT_MAX_DEBATE_ROUNDS = 3;
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const AVAILABLE_MODELS = [
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"openai/gpt-oss-120b:free",
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"openrouter/free",
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"deepseek/deepseek-chat:free",
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"meta/llama-3.3-70b-instruct:free",
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];
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export default function LlmSettings({ settings, onSave, saveError }: LlmSettingsProps) {
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const [model, setModel] = useState(settings["llm.model"] ?? DEFAULT_MODEL);
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const [temperature, setTemperature] = useState(settings["llm.temperature"] ?? DEFAULT_TEMPERATURE);
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const [maxDebateRounds, setMaxDebateRounds] = useState(settings["llm.maxDebateRounds"] ?? DEFAULT_MAX_DEBATE_ROUNDS);
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const tempTimerRef = useRef<ReturnType<typeof setTimeout> | null>(null);
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useEffect(() => {
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setModel(settings["llm.model"] ?? DEFAULT_MODEL);
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setTemperature(settings["llm.temperature"] ?? DEFAULT_TEMPERATURE);
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setMaxDebateRounds(settings["llm.maxDebateRounds"] ?? DEFAULT_MAX_DEBATE_ROUNDS);
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return () => {
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if (tempTimerRef.current) clearTimeout(tempTimerRef.current);
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};
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}, [settings]);
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const saveModel = async (value: string) => {
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setModel(value);
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await onSave("llm.model", value);
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};
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const saveTemperature = async (value: number) => {
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setTemperature(value);
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if (tempTimerRef.current) clearTimeout(tempTimerRef.current);
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tempTimerRef.current = setTimeout(() => {
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onSave("llm.temperature", value).catch((e) => console.error("Failed to save temperature:", e));
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}, 300);
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};
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const saveMaxDebateRounds = async (value: number) => {
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const clamped = Math.min(10, Math.max(1, value));
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setMaxDebateRounds(clamped);
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await onSave("llm.maxDebateRounds", clamped);
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};
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return (
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<div className="space-y-6">
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<div>
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<h2 className="text-xl font-bold text-gray-900">LLM & Agents</h2>
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<p className="text-sm text-gray-600 mt-1">Configure the language model and agent behavior for trading analysis.</p>
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</div>
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{saveError && (
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<div className="bg-red-50 text-red-700 px-4 py-2 rounded-lg text-sm">{saveError}</div>
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)}
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<div className="space-y-4">
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<div>
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<label htmlFor="llm-model" className="block text-sm font-medium text-gray-700 mb-1">Model</label>
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<select
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id="llm-model"
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value={model}
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onChange={(e) => saveModel(e.target.value)}
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className="w-full border border-gray-300 rounded-lg px-4 py-2.5 text-gray-900 focus:ring-2 focus:ring-blue-500 focus:border-blue-500"
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>
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{AVAILABLE_MODELS.map((m) => (
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<option key={m} value={m}>{m}</option>
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))}
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</select>
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</div>
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<div>
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<label htmlFor="llm-temperature" className="block text-sm font-medium text-gray-700 mb-1">
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Temperature: {temperature.toFixed(1)}
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</label>
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<input
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id="llm-temperature"
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type="range"
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min="0"
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max="2"
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step="0.1"
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value={temperature}
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onChange={(e) => saveTemperature(parseFloat(e.target.value))}
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className="w-full"
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/>
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<div className="flex justify-between text-xs text-gray-500">
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<span>0.0 (deterministic)</span>
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<span>2.0 (creative)</span>
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</div>
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</div>
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<div>
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<label htmlFor="llm-max-debate-rounds" className="block text-sm font-medium text-gray-700 mb-1">Max Debate Rounds</label>
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<input
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id="llm-max-debate-rounds"
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type="number"
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min="1"
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max="10"
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value={maxDebateRounds}
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onChange={(e) => saveMaxDebateRounds(Math.max(1, parseInt(e.target.value) || 1))}
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className="w-32 border border-gray-300 rounded-lg px-4 py-2.5 text-gray-900 focus:ring-2 focus:ring-blue-500"
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/>
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</div>
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</div>
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</div>
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);
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}
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