@gguf/claw/dist/plugin-sdk/memory/batch-gemini.d.ts

Multi-channel AI gateway with extensible messaging integrations

import type { GeminiEmbeddingClient } from "./embeddings-gemini.js";
export type GeminiBatchRequest = {
    custom_id: string;
    content: {
        parts: Array<{
            text: string;
        }>;
    };
    taskType: "RETRIEVAL_DOCUMENT" | "RETRIEVAL_QUERY";
};
export type GeminiBatchStatus = {
    name?: string;
    state?: string;
    outputConfig?: {
        file?: string;
        fileId?: string;
    };
    metadata?: {
        output?: {
            responsesFile?: string;
        };
    };
    error?: {
        message?: string;
    };
};
export type GeminiBatchOutputLine = {
    key?: string;
    custom_id?: string;
    request_id?: string;
    embedding?: {
        values?: number[];
    };
    response?: {
        embedding?: {
            values?: number[];
        };
        error?: {
            message?: string;
        };
    };
    error?: {
        message?: string;
    };
};
export declare function runGeminiEmbeddingBatches(params: {
    gemini: GeminiEmbeddingClient;
    agentId: string;
    requests: GeminiBatchRequest[];
    wait: boolean;
    pollIntervalMs: number;
    timeoutMs: number;
    concurrency: number;
    debug?: (message: string, data?: Record<string, unknown>) => void;
}): Promise<Map<string, number[]>>;