/**
 * AI Chat related entity interfaces
 *
 * This file contains TypeScript interfaces that correspond to the GSB entity definitions
 * used for AI chat functionality. These interfaces are used to type data coming from
 * and going to the GSB backend.
 */
/**
 * LLM Provider enum
 *
 * Defines the supported LLM providers for AI chat integration.
 * Each provider may have different capabilities and configuration requirements.
 */
export declare enum LLMProvider {
    /** OpenAI API (ChatGPT, GPT-4, etc.) */
    OpenAI = 1,
    /** Azure OpenAI Service */
    OpenAIAzure = 2,
    /** HuggingFace Inference API */
    HuggingFace = 4,
    /** Anthropic API (Claude models) */
    Anthropic = 8
}
/**
 * GSB AI Chat entity interface
 *
 * Represents an AI chat session with message history and configuration.
 * A chat can contain multiple messages and is associated with an LLM configuration.
 */
export interface GsbAiChat {
    /** Unique identifier for the chat */
    id?: string;
    /** Title/name of the chat */
    title?: string;
    /** The most recent user prompt */
    prompt?: string;
    /** Messages in this chat (conversation history) */
    messages?: GsbAiMessage[];
    /** ID of the LLM configuration used for this chat */
    configuration_id?: string;
    /** LLM configuration used for this chat */
    configuration?: LlmConfiguration;
    /** Related report IDs and references */
    estimation_id?: string;
    estimation?: any;
    competitor_id?: string;
    competitor?: any;
    customerfeedback_id?: string;
    customerfeedback?: any;
    scrumReport_id?: string;
    scrumReport?: any;
    diagramReport_id?: string;
    diagramReport?: any;
    /** Standard entity fields */
    ownerTenant_id?: string;
    createdBy_id?: string;
    createdBy?: any;
    lastUpdatedBy_id?: string;
    lastUpdatedBy?: any;
    createDate?: Date;
    lastUpdateDate?: Date;
}
/**
 * GSB AI Message entity interface
 *
 * Represents a single message in an AI chat conversation.
 * Messages can be from the user (isSystem=false) or from the AI (isSystem=true).
 */
export interface GsbAiMessage {
    /** Unique identifier for the message */
    id?: string;
    /** Optional title for the message */
    title?: string;
    /** Message content/text */
    content?: string;
    /** Full prompt with template processing (for user messages) */
    fullPrompt?: string;
    /** Whether this is a system/AI message (true) or user message (false) */
    isSystem?: boolean;
    /** Whether the user liked this message */
    liked?: boolean;
    /** Whether the user disliked this message */
    disliked?: boolean;
    /** ID of the chat this message belongs to */
    chat_id?: string;
    /** Reference to the parent chat */
    chat?: GsbAiChat;
    /** Standard entity fields */
    ownerTenant_id?: string;
    createdBy_id?: string;
    createdBy?: any;
    lastUpdatedBy_id?: string;
    lastUpdatedBy?: any;
    createDate?: Date;
    lastUpdateDate?: Date;
}
/**
 * LLM Configuration entity interface
 *
 * Defines how to interact with an LLM provider, including templates,
 * provider settings, and context information.
 */
export interface LlmConfiguration {
    /** Unique identifier for the configuration */
    id?: string;
    /** Title/name of the configuration */
    title?: string;
    /** LLM provider to use */
    provider?: LLMProvider;
    /**
     * Nunjucks template for prompt generation
     * Can include variables like {{ prompt }}, {{ entity.fieldName }}, etc.
     */
    template?: string;
    /** Additional context information for the LLM */
    context?: string;
    /** Provider-specific settings (model, temperature, etc.) */
    settings?: any;
    /** Pre-defined system messages */
    preMessages?: any;
    /** Test instance for this configuration */
    testInstance?: any;
    /** Chats using this configuration */
    chats?: GsbAiChat[];
    /** Standard entity fields */
    createdBy_id?: string;
    createdBy?: any;
    lastUpdatedBy_id?: string;
    lastUpdatedBy?: any;
    createDate?: Date;
    lastUpdateDate?: Date;
}