@ztimson/momentum/dist/ai.d.ts

Client library for momentum

import { PathEventEmitter } from './core';
import { Momentum } from './momentum';
export type AiInfo = {
    /** Service provider: Anthropic, OpenAI, Ollama */
    readonly host: string;
    /** Assistant LLM version */
    readonly model: string;
    /** Available tools */
    readonly tools: {
        [name: string]: string;
    };
};
export type AiMessage = {
    /** Message originator */
    role: 'assistant' | 'system' | 'user';
    /** Message content */
    content: string | any;
    /** Timestamp */
    timestamp?: number;
} | {
    /** Tool call */
    role: 'tool';
    /** Unique ID for call */
    id: string;
    /** Tool that was run */
    name: string;
    /** Tool arguments */
    args: any;
    /** Tool result */
    content: undefined | string;
    /** Tool error */
    error?: undefined | string;
    /** Timestamp */
    timestamp?: number;
};
/** AI integrations */
export declare class Ai extends PathEventEmitter {
    protected momentum: Momentum;
    constructor(momentum: Momentum);
    /** Cancel current AI requests */
    abort(): Promise<void>;
    /**
     * Ask the AI assistant a question
     * @param {string} question Users question
     * @param {context: string, stream: Function} options context - Any hidden context information. stream - Receive response in chunks
     * @return {Promise<string>} AI's response
     */
    ask(question: string, options?: {
        context?: any;
        files?: File[];
        stream?: (chunk: {
            text?: string;
            done?: boolean;
            tool?: string;
        }) => any;
    }): Promise<string>;
    /**
     * Clear AI assistant memory & context
     * @return {Promise<void>} Resolves once complete
     */
    clear(): Promise<void>;
    /**
     * Current chat history
     * @return {Promise<AiMessage[]>}
     */
    history(): Promise<AiMessage[]>;
    /**
     * Get model info
     * @return {AiInfo>} Model Info
     */
    info(): Promise<AiInfo>;
}
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