aquanet-bot-lib/dist/types/llm.d.ts

A library for building aquaculture chatbots with LLM integration

export declare enum LLMProviders {
    DEEPSEEK = "deepseek"
}
export interface LLMConfig {
    provider: LLMProviders;
    apiKey: string;
    model: string;
    defaultParams?: {
        temperature?: number;
        maxTokens?: number;
        topP?: number;
        frequencyPenalty?: number;
        presencePenalty?: number;
    };
}
export interface LLMInput {
    prompt: string;
    systemPrompt?: string;
    temperature?: number;
    maxTokens?: number;
    topP?: number;
    frequencyPenalty?: number;
    presencePenalty?: number;
}
export interface LLMResponse {
    content: string;
    usage?: {
        promptTokens: number;
        completionTokens: number;
        totalTokens: number;
    };
}
export interface ILLMProvider {
    generateResponse(input: LLMInput): Promise<LLMResponse>;
    generateStreamResponse(input: LLMInput): AsyncGenerator<string>;
}
export declare enum AquacultureTaskType {
    WATER_QUALITY_ANALYSIS = "water_quality_analysis",
    DISEASE_DIAGNOSIS = "disease_diagnosis",
    FEEDING_OPTIMIZATION = "feeding_optimization",
    GROWTH_PREDICTION = "growth_prediction",
    COST_ANALYSIS = "cost_analysis",
    TECHNICAL_ADVICE = "technical_advice",
    MARKET_ANALYSIS = "market_analysis",
    ENVIRONMENTAL_IMPACT = "environmental_impact"
}
export interface AquacultureData {
    environmentalData: {
        waterQuality: {
            temperature: number;
            pH: number;
            dissolvedOxygen: number;
            [key: string]: any;
        };
        [key: string]: any;
    };
    biologicalData: {
        species: string;
        stage: string;
        [key: string]: any;
    };
    metadata: {
        farmId: string;
        pondId: string;
        timestamp: Date;
        source: string;
        [key: string]: any;
    };
    [key: string]: any;
}