/**
 * @fileoverview Defines the core logic, schemas, and types for the `perplexity_research` tool.
 * This tool interfaces with the Perplexity API to perform exhaustive multi-source research using the sonar-deep-research model.
 * @module src/mcp-server/tools/perplexityDeepResearch/logic
 */
import { z } from 'zod';
import { RequestContext } from '../../../utils/index.js';
export declare const PerplexityDeepResearchInputSchema: z.ZodObject<{
    query: z.ZodString;
    reasoning_effort: z.ZodDefault<z.ZodOptional<z.ZodEnum<["low", "medium", "high"]>>>;
    return_related_questions: z.ZodDefault<z.ZodOptional<z.ZodBoolean>>;
    search_recency_filter: z.ZodOptional<z.ZodString>;
    search_domain_filter: z.ZodOptional<z.ZodArray<z.ZodString, "many">>;
    search_after_date_filter: z.ZodOptional<z.ZodString>;
    search_before_date_filter: z.ZodOptional<z.ZodString>;
    search_mode: z.ZodOptional<z.ZodEnum<["web", "academic"]>>;
}, "strip", z.ZodTypeAny, {
    return_related_questions: boolean;
    reasoning_effort: "low" | "medium" | "high";
    query: string;
    search_domain_filter?: string[] | undefined;
    search_recency_filter?: string | undefined;
    search_after_date_filter?: string | undefined;
    search_before_date_filter?: string | undefined;
    search_mode?: "web" | "academic" | undefined;
}, {
    query: string;
    search_domain_filter?: string[] | undefined;
    search_recency_filter?: string | undefined;
    search_after_date_filter?: string | undefined;
    search_before_date_filter?: string | undefined;
    return_related_questions?: boolean | undefined;
    search_mode?: "web" | "academic" | undefined;
    reasoning_effort?: "low" | "medium" | "high" | undefined;
}>;
declare const SearchResultSchema: z.ZodObject<{
    title: z.ZodString;
    url: z.ZodString;
    date: z.ZodOptional<z.ZodNullable<z.ZodString>>;
    last_updated: z.ZodOptional<z.ZodNullable<z.ZodString>>;
    snippet: z.ZodOptional<z.ZodString>;
}, "strip", z.ZodTypeAny, {
    url: string;
    title: string;
    date?: string | null | undefined;
    last_updated?: string | null | undefined;
    snippet?: string | undefined;
}, {
    url: string;
    title: string;
    date?: string | null | undefined;
    last_updated?: string | null | undefined;
    snippet?: string | undefined;
}>;
declare const CostBreakdownSchema: z.ZodObject<{
    input_tokens_cost: z.ZodNumber;
    output_tokens_cost: z.ZodNumber;
    citation_tokens_cost: z.ZodNumber;
    reasoning_tokens_cost: z.ZodNumber;
    search_queries_cost: z.ZodNumber;
    total_cost: z.ZodNumber;
}, "strip", z.ZodTypeAny, {
    input_tokens_cost: number;
    output_tokens_cost: number;
    citation_tokens_cost: number;
    reasoning_tokens_cost: number;
    search_queries_cost: number;
    total_cost: number;
}, {
    input_tokens_cost: number;
    output_tokens_cost: number;
    citation_tokens_cost: number;
    reasoning_tokens_cost: number;
    search_queries_cost: number;
    total_cost: number;
}>;
export declare const PerplexityDeepResearchResponseSchema: z.ZodObject<{
    rawResultText: z.ZodString;
    responseId: z.ZodString;
    modelUsed: z.ZodString;
    createdTimestamp: z.ZodNumber;
    usage: z.ZodObject<{
        prompt_tokens: z.ZodNumber;
        completion_tokens: z.ZodNumber;
        total_tokens: z.ZodNumber;
        citation_tokens: z.ZodOptional<z.ZodNumber>;
        reasoning_tokens: z.ZodOptional<z.ZodNumber>;
        num_search_queries: z.ZodOptional<z.ZodNumber>;
    }, "strip", z.ZodTypeAny, {
        prompt_tokens: number;
        completion_tokens: number;
        total_tokens: number;
        citation_tokens?: number | undefined;
        num_search_queries?: number | undefined;
        reasoning_tokens?: number | undefined;
    }, {
        prompt_tokens: number;
        completion_tokens: number;
        total_tokens: number;
        citation_tokens?: number | undefined;
        num_search_queries?: number | undefined;
        reasoning_tokens?: number | undefined;
    }>;
    costBreakdown: z.ZodOptional<z.ZodObject<{
        input_tokens_cost: z.ZodNumber;
        output_tokens_cost: z.ZodNumber;
        citation_tokens_cost: z.ZodNumber;
        reasoning_tokens_cost: z.ZodNumber;
        search_queries_cost: z.ZodNumber;
        total_cost: z.ZodNumber;
    }, "strip", z.ZodTypeAny, {
        input_tokens_cost: number;
        output_tokens_cost: number;
        citation_tokens_cost: number;
        reasoning_tokens_cost: number;
        search_queries_cost: number;
        total_cost: number;
    }, {
        input_tokens_cost: number;
        output_tokens_cost: number;
        citation_tokens_cost: number;
        reasoning_tokens_cost: number;
        search_queries_cost: number;
        total_cost: number;
    }>>;
    searchResults: z.ZodOptional<z.ZodArray<z.ZodObject<{
        title: z.ZodString;
        url: z.ZodString;
        date: z.ZodOptional<z.ZodNullable<z.ZodString>>;
        last_updated: z.ZodOptional<z.ZodNullable<z.ZodString>>;
        snippet: z.ZodOptional<z.ZodString>;
    }, "strip", z.ZodTypeAny, {
        url: string;
        title: string;
        date?: string | null | undefined;
        last_updated?: string | null | undefined;
        snippet?: string | undefined;
    }, {
        url: string;
        title: string;
        date?: string | null | undefined;
        last_updated?: string | null | undefined;
        snippet?: string | undefined;
    }>, "many">>;
    citations: z.ZodOptional<z.ZodArray<z.ZodString, "many">>;
    estimatedCost: z.ZodOptional<z.ZodNumber>;
}, "strip", z.ZodTypeAny, {
    usage: {
        prompt_tokens: number;
        completion_tokens: number;
        total_tokens: number;
        citation_tokens?: number | undefined;
        num_search_queries?: number | undefined;
        reasoning_tokens?: number | undefined;
    };
    responseId: string;
    rawResultText: string;
    modelUsed: string;
    createdTimestamp: number;
    estimatedCost?: number | undefined;
    citations?: string[] | undefined;
    searchResults?: {
        url: string;
        title: string;
        date?: string | null | undefined;
        last_updated?: string | null | undefined;
        snippet?: string | undefined;
    }[] | undefined;
    costBreakdown?: {
        input_tokens_cost: number;
        output_tokens_cost: number;
        citation_tokens_cost: number;
        reasoning_tokens_cost: number;
        search_queries_cost: number;
        total_cost: number;
    } | undefined;
}, {
    usage: {
        prompt_tokens: number;
        completion_tokens: number;
        total_tokens: number;
        citation_tokens?: number | undefined;
        num_search_queries?: number | undefined;
        reasoning_tokens?: number | undefined;
    };
    responseId: string;
    rawResultText: string;
    modelUsed: string;
    createdTimestamp: number;
    estimatedCost?: number | undefined;
    citations?: string[] | undefined;
    searchResults?: {
        url: string;
        title: string;
        date?: string | null | undefined;
        last_updated?: string | null | undefined;
        snippet?: string | undefined;
    }[] | undefined;
    costBreakdown?: {
        input_tokens_cost: number;
        output_tokens_cost: number;
        citation_tokens_cost: number;
        reasoning_tokens_cost: number;
        search_queries_cost: number;
        total_cost: number;
    } | undefined;
}>;
export type PerplexityDeepResearchInput = z.infer<typeof PerplexityDeepResearchInputSchema>;
export type PerplexityDeepResearchResponse = z.infer<typeof PerplexityDeepResearchResponseSchema>;
export type SearchResult = z.infer<typeof SearchResultSchema>;
export type CostBreakdown = z.infer<typeof CostBreakdownSchema>;
/**
 * 3. IMPLEMENT and export the core logic function.
 * It must remain pure: its only concerns are its inputs and its return value or thrown error.
 * @throws {McpError} If the logic encounters an unrecoverable issue.
 */
export declare function perplexityDeepResearchLogic(params: PerplexityDeepResearchInput, context: RequestContext): Promise<PerplexityDeepResearchResponse>;
export {};