import { z } from "zod";
import type { McpTool } from "../tool.js";
import { searchRelated } from "./search-related.js";
declare const inputSchema: z.ZodObject<{
    /** Free-text query. Hybrid semantic + keyword via Engram. */
    query: z.ZodString;
    /** Optional project filter (project slug or alias). */
    project: z.ZodOptional<z.ZodString>;
    /**
     * Optional content-type filter. Mirrors the search_related enum.
     * `meeting` and `decision` are useful for "what did we decide" flows;
     * `doc` / `code` for reference material.
     */
    type: z.ZodOptional<z.ZodEnum<["meeting", "decision", "action_item", "doc", "code", "note", "brief", "digest", "conversation", "commit", "event", "reference", "session_handoff"]>>;
    /** Optional source filter (github, confluence, jira, slack, etc.). */
    source: z.ZodOptional<z.ZodEnum<["loom", "google_meet", "confluence", "notion", "google_drive", "jira", "linear", "bitbucket", "github", "calendar", "slack", "teams", "email", "obsidian", "manual"]>>;
    /** ISO 8601 lower bound. */
    since: z.ZodOptional<z.ZodString>;
    /** Result count. Default 10, cap 50. */
    topK: z.ZodDefault<z.ZodNumber>;
    /**
     * Exclude rows whose sensitivity exceeds this level. Omit to return all
     * sensitivity levels (default behavior — no filter applied).
     * Ordering: public < internal < confidential < restricted.
     */
    maxSensitivity: z.ZodOptional<z.ZodEnum<["public", "internal", "confidential", "restricted"]>>;
    /**
     * Strict trust filter. When set, rows below this trust level are excluded.
     * Omit to use the default soft down-ranking behavior where `experimental`
     * and `external` rows remain visible but rank slightly lower than
     * `approved` rows. Ordering: external < experimental < approved.
     */
    minTrust: z.ZodOptional<z.ZodEnum<["external", "experimental", "approved"]>>;
}, "strip", z.ZodTypeAny, {
    query: string;
    topK: number;
    project?: string | undefined;
    type?: "brief" | "code" | "meeting" | "decision" | "action_item" | "doc" | "note" | "digest" | "conversation" | "commit" | "event" | "reference" | "session_handoff" | undefined;
    source?: "manual" | "loom" | "google_meet" | "confluence" | "notion" | "google_drive" | "jira" | "linear" | "bitbucket" | "github" | "calendar" | "slack" | "teams" | "email" | "obsidian" | undefined;
    maxSensitivity?: "public" | "internal" | "confidential" | "restricted" | undefined;
    minTrust?: "external" | "experimental" | "approved" | undefined;
    since?: string | undefined;
}, {
    query: string;
    project?: string | undefined;
    type?: "brief" | "code" | "meeting" | "decision" | "action_item" | "doc" | "note" | "digest" | "conversation" | "commit" | "event" | "reference" | "session_handoff" | undefined;
    source?: "manual" | "loom" | "google_meet" | "confluence" | "notion" | "google_drive" | "jira" | "linear" | "bitbucket" | "github" | "calendar" | "slack" | "teams" | "email" | "obsidian" | undefined;
    maxSensitivity?: "public" | "internal" | "confidential" | "restricted" | undefined;
    minTrust?: "external" | "experimental" | "approved" | undefined;
    since?: string | undefined;
    topK?: number | undefined;
}>;
/**
 * Knowledge-base search.
 *
 * Phase 4 retrieval surface for the knowledge-engine repositioning.
 * Pyre's coordinator calls `kb_search` (org KB) alongside Engram's
 * `memory_search` (per-user memory) to compose two cognitive layers
 * cleanly.
 *
 * Implementation: thin wrapper around `search_related`. We preserve
 * `search_related` for back-compat with any existing consumer; new
 * clients should prefer `kb_search` for the clearer naming.
 */
export declare const kbSearch: McpTool<typeof inputSchema, ReturnType<typeof searchRelated.handler> extends Promise<infer R> ? R : never>;
export {};
//# sourceMappingURL=kb-search.d.ts.map