/**
 * Batch-prettify raw snake_case pattern identities into 3-5-word
 * human-readable names via **MCP sampling**.
 *
 * The MCP sampling API (`server.createMessage`) asks the host — the same
 * chat app the user is already in (Claude Desktop, Cursor, etc.) — to
 * run the prompt through *its* LLM using the user's existing
 * credentials. No Log10x-side endpoint, no egress to Log10x,
 * no extra API key. The user's host does whatever privacy + compliance
 * enforcement they already trust.
 *
 * When the host doesn't support sampling (capability probe fails or the
 * `createMessage` call throws), fail-soft back to raw identities plus a
 * one-line appendix note. The report still renders — just less pretty.
 *
 * What is sent: pattern identities (variable values already stripped by
 * the 10x engine) along with severity + service. No raw log content.
 */
import type { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
export interface PrettifyInput {
    identity: string;
    service?: string;
    severity?: string;
    count: number;
    bytes: number;
}
export interface PrettifyOptions {
    /**
     * The MCP server instance. Sampling is a server-side capability.
     * When undefined (e.g., server not yet bound to a transport), the
     * call fails-soft to "not available."
     */
    server?: McpServer;
    /** Timeout in ms for the sampling round-trip. Default 30s. */
    timeoutMs?: number;
    /** Max tokens the host is allowed to generate. Default scales with input. */
    maxTokens?: number;
}
export interface PrettifyResult {
    /** identity → pretty name. Missing entries mean the model didn't return one. */
    names: Record<string, string>;
    /** Short reason string when the call failed or returned nothing. */
    errorNote?: string;
}
/**
 * Ask the MCP host's LLM to generate pretty names for a batch of pattern
 * identities. Always returns; never throws.
 */
export declare function prettifyPatterns(patterns: PrettifyInput[], opts: PrettifyOptions): Promise<PrettifyResult>;