import { BaseAIUseCase } from '../../middleware/usecases/base/base-ai.usecase';
import { BaseAIRequest, BaseAIResult } from '../../middleware/shared/types/base-request.types';
import { ModelParameterOverrides } from '../../middleware/services/model-parameter-manager/model-parameter-manager.service';
/**
 * Tweet generation request interface
 */
export interface TweetGeneratorRequest extends BaseAIRequest<string> {
    topic: string;
    includeHashtags?: boolean;
}
/**
 * Tweet generation result interface
 */
export interface TweetGeneratorResult extends BaseAIResult {
    tweet: string;
    characterCount: number;
    withinLimit: boolean;
}
/**
 * Tweet Generator Use Case
 *
 * Demonstrates parameter configuration for token limiting and concise output.
 *
 * Key Features:
 * - Token limiting via `num_predict` parameter (max ~70 tokens for 280 chars)
 * - Marketing preset for engaging, varied content
 * - Lower temperature for focused, on-brand output
 * - Character count validation
 *
 * This use case is particularly useful for:
 * - Social media content generation
 * - Testing parameter effectiveness
 * - Demonstrating output length control
 * - Validating token limiting functionality
 */
export declare class TweetGeneratorUseCase extends BaseAIUseCase<string, TweetGeneratorRequest, TweetGeneratorResult> {
    /**
     * System message emphasizing brevity and Twitter best practices
     */
    protected readonly systemMessage = "You are an expert social media content creator specializing in Twitter/X posts.\n\nCRITICAL REQUIREMENTS:\n1. Be concise, engaging, and impactful\n2. Use clear, accessible language\n3. Avoid hashtags unless specifically requested\n4. NO explanations, NO preamble - ONLY output the tweet text\n\nSTYLE GUIDELINES:\n- Start with a hook or attention-grabbing statement\n- Use active voice and present tense when possible\n- Include a call-to-action or thought-provoking question when appropriate\n- Break complex ideas into simple, digestible statements\n\nOUTPUT FORMAT:\nReturn ONLY the tweet text. Nothing else.";
    /**
     * Get the user template from message file
     */
    protected getUserTemplate(): (formattedPrompt: string) => string;
    /**
     * Format the user message - pass through the topic
     */
    protected formatUserMessage(prompt: any): string;
    /**
     * Override model parameters for tweet generation
     *
     * This configuration is optimized for generating short, engaging tweets
     * while staying within Twitter's 280 character limit.
     *
     * @returns ModelParameterOverrides with Marketing-inspired preset + token limiting
     *
     * **Parameter Selection Rationale:**
     *
     * **Token Limiting:**
     * - `num_predict: 70` - Strictly limits output to ~70 tokens (roughly 280 characters)
     *   This is the key parameter for enforcing length constraints.
     *
     * **Creative Control:**
     * - `temperature: 0.7` - Balanced creativity for engaging but focused content
     * - `repeatPenalty: 1.3` - Strong penalty to avoid repetitive phrasing in short text
     * - `frequencyPenalty: 0.3` - Encourages word variety in limited space
     * - `presencePenalty: 0.2` - Promotes diverse concepts even in brief content
     *
     * **Quality Control:**
     * - `topP: 0.9` - Moderate nucleus sampling for reliable quality
     * - `topK: 50` - Balanced vocabulary selection for natural language
     * - `repeatLastN: 32` - Short window appropriate for tweet-length text
     *
     * **Expected Impact:**
     * - Tweets will be under 280 characters (enforced by num_predict)
     * - Content will be varied and engaging without repetition
     * - Output will be focused and on-topic
     * - Language will be natural and conversational
     *
     * **Testing Note:**
     * This configuration allows testing of token limiting functionality.
     * Increase num_predict to see longer outputs; decrease for shorter ones.
     *
     * For more information about parameters, see docs/OLLAMA_PARAMETERS.md
     */
    protected getParameterOverrides(): ModelParameterOverrides;
    /**
     * Create the result with character count validation
     */
    protected createResult(content: string, usedPrompt: string, thinking?: string): TweetGeneratorResult;
}
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