@restnfeel/agentc-starter-kit/dist/lib/chatbot/core/services/llmService.d.ts

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import { LLMProvider, LLMConfig, Document } from "../contexts/ChatbotContext";
export interface LLMResponse {
    content: string;
    metadata?: {
        model?: string;
        tokens?: {
            prompt: number;
            completion: number;
            total: number;
        };
        finishReason?: string;
        confidence?: number;
    };
}
export interface RAGResponse {
    response: string;
    sources: Document[];
    metadata?: {
        retrievedDocCount: number;
        similarity: number[];
        model?: string;
        tokens?: {
            prompt: number;
            completion: number;
            total: number;
        };
    };
}
export declare abstract class BaseLLM {
    protected config: LLMConfig;
    protected isConnected: boolean;
    protected availableModels: string[];
    constructor(config: LLMConfig);
    abstract connect(): Promise<void>;
    abstract disconnect(): Promise<void>;
    abstract generateResponse(prompt: string, context?: Document[]): Promise<LLMResponse>;
    abstract listModels(): Promise<string[]>;
    abstract validateApiKey(): Promise<boolean>;
    abstract healthCheck(): Promise<boolean>;
    getStatus(): {
        isConnected: boolean;
        config: LLMConfig;
        availableModels: string[];
    };
    updateConfig(updates: Partial<LLMConfig>): void;
}
export declare class OpenAILLM extends BaseLLM {
    private client;
    constructor(config: LLMConfig);
    connect(): Promise<void>;
    disconnect(): Promise<void>;
    generateResponse(prompt: string, context?: Document[]): Promise<LLMResponse>;
    listModels(): Promise<string[]>;
    validateApiKey(): Promise<boolean>;
    healthCheck(): Promise<boolean>;
}
export declare class AnthropicLLM extends BaseLLM {
    private client;
    constructor(config: LLMConfig);
    connect(): Promise<void>;
    disconnect(): Promise<void>;
    generateResponse(prompt: string, context?: Document[]): Promise<LLMResponse>;
    listModels(): Promise<string[]>;
    validateApiKey(): Promise<boolean>;
    healthCheck(): Promise<boolean>;
}
export declare class GoogleLLM extends BaseLLM {
    connect(): Promise<void>;
    disconnect(): Promise<void>;
    generateResponse(prompt: string, context?: Document[]): Promise<LLMResponse>;
    listModels(): Promise<string[]>;
    validateApiKey(): Promise<boolean>;
    healthCheck(): Promise<boolean>;
}
export declare class MistralLLM extends BaseLLM {
    connect(): Promise<void>;
    disconnect(): Promise<void>;
    generateResponse(prompt: string, context?: Document[]): Promise<LLMResponse>;
    listModels(): Promise<string[]>;
    validateApiKey(): Promise<boolean>;
    healthCheck(): Promise<boolean>;
}
export declare function createLLM(config: LLMConfig): BaseLLM;
export declare class RAGChainService {
    private llm;
    private vectorStore;
    constructor(llm: BaseLLM, vectorStore: any);
    generateRAGResponse(query: string, options?: {
        maxRetrievedDocs?: number;
        similarityThreshold?: number;
    }): Promise<RAGResponse>;
    updateLLM(llm: BaseLLM): void;
    updateVectorStore(vectorStore: any): void;
}
export declare class LLMUtils {
    static validateConfig(config: LLMConfig): boolean;
    static getDefaultConfig(provider: LLMProvider): Partial<LLMConfig>;
    static buildContextPrompt(query: string, documents: Document[], systemPrompt?: string): string;
    static estimateTokens(text: string): number;
    static truncateContext(documents: Document[], maxTokens: number): Document[];
}
declare const _default: {
    BaseLLM: typeof BaseLLM;
    OpenAILLM: typeof OpenAILLM;
    AnthropicLLM: typeof AnthropicLLM;
    GoogleLLM: typeof GoogleLLM;
    MistralLLM: typeof MistralLLM;
    createLLM: typeof createLLM;
    RAGChainService: typeof RAGChainService;
    LLMUtils: typeof LLMUtils;
};
export default _default;
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