import { UserInfo } from '@memberjunction/core';
import { MJAIPromptModelEntity } from '@memberjunction/core-entities';
import { ExecutionTask } from './ParallelExecution.js';
import { ChatMessage } from '@memberjunction/ai';
import { MJAIModelEntityExtended, MJAIPromptEntityExtended, TemplateMessageRole } from '@memberjunction/ai-core-plus';
/**
 * Plans and organizes execution tasks for AI prompts based on parallelization configuration.
 *
 * This class analyzes prompt configuration and creates execution plans that determine:
 * - Which models to use
 * - How many parallel executions to perform
 * - How to group executions for coordination
 * - Priority and ordering of tasks
 */
export declare class ExecutionPlanner {
    /**
     * Creates an execution plan for a prompt based on its parallelization configuration.
     *
     * Analyzes the prompt's ParallelizationMode and associated models to determine
     * the optimal execution strategy and task distribution.
     *
     * @param prompt - The AI prompt to create an execution plan for
     * @param promptModels - Associated model configurations for this prompt
     * @param allModels - All available AI models in the system
     * @param renderedPrompt - The rendered prompt text ready for execution
     * @param contextUser - User context for authentication and permissions
     * @param configurationId - Optional configuration ID for environment-specific behavior
     * @returns ExecutionTask[] - Array of execution tasks to be processed
     */
    createExecutionPlan(prompt: MJAIPromptEntityExtended, promptModels: MJAIPromptModelEntity[], allModels: MJAIModelEntityExtended[], renderedPrompt: string, contextUser?: UserInfo, configurationId?: string, conversationMessages?: ChatMessage[], templateMessageRole?: TemplateMessageRole): ExecutionTask[];
    /**
     * Creates a single execution task (no parallelization).
     *
     * Selects the best model based on prompt configuration and creates a single task.
     *
     * @param prompt - The AI prompt to execute
     * @param promptModels - Associated model configurations
     * @param allModels - All available models
     * @param renderedPrompt - Rendered prompt text
     * @param contextUser - User context
     * @param configurationId - Configuration ID
     * @returns ExecutionTask[] - Array containing single execution task
     */
    private createSingleExecutionPlan;
    /**
     * Creates execution tasks based on a static count of parallel executions.
     *
     * Uses the ParallelCount field to determine how many parallel executions to create.
     *
     * @param prompt - The AI prompt to execute
     * @param promptModels - Associated model configurations
     * @param allModels - All available models
     * @param renderedPrompt - Rendered prompt text
     * @param contextUser - User context
     * @param configurationId - Configuration ID
     * @returns ExecutionTask[] - Array of execution tasks for parallel processing
     */
    private createStaticCountPlan;
    /**
     * Creates execution tasks based on a configuration parameter.
     *
     * Looks up the parallel count from a configuration parameter specified in ParallelConfigParam.
     *
     * @param prompt - The AI prompt to execute
     * @param promptModels - Associated model configurations
     * @param allModels - All available models
     * @param renderedPrompt - Rendered prompt text
     * @param contextUser - User context
     * @param configurationId - Configuration ID
     * @returns ExecutionTask[] - Array of execution tasks for parallel processing
     */
    private createConfigParamPlan;
    /**
     * Creates execution tasks based on model-specific parallelization settings.
     *
     * Uses individual AIPromptModel configurations to determine execution groups and parallel counts.
     *
     * @param prompt - The AI prompt to execute
     * @param promptModels - Associated model configurations
     * @param allModels - All available models
     * @param renderedPrompt - Rendered prompt text
     * @param contextUser - User context
     * @param configurationId - Configuration ID
     * @returns ExecutionTask[] - Array of execution tasks organized by execution groups
     */
    private createModelSpecificPlan;
    /**
     * Selects the best model based on prompt configuration and available models.
     *
     * @param prompt - The AI prompt requiring a model
     * @param promptModels - Associated model configurations
     * @param allModels - All available models
     * @param configurationId - Configuration ID
     * @returns MJAIModelEntityExtended | null - The selected model or null if none suitable
     */
    private selectBestModel;
    /**
     * Gets all available models for a prompt considering configuration constraints.
     *
     * @param prompt - The AI prompt
     * @param promptModels - Associated model configurations
     * @param allModels - All available models
     * @param configurationId - Configuration ID
     * @returns MJAIModelEntityExtended[] - Array of suitable models
     */
    private getAvailableModels;
    /**
     * Determines the parallel count for a specific model configuration.
     *
     * @param promptModel - The prompt model configuration
     * @returns number - Number of parallel executions for this model
     */
    private getModelParallelCount;
    /**
     * Looks up a configuration parameter value.
     *
     * @param paramName - Name of the configuration parameter
     * @param configurationId - Configuration context ID
     * @returns number | null - The parameter value or null if not found
     */
    private getConfigurationParameter;
    /**
     * Parses model parameters from JSON string.
     *
     * @param modelParametersJson - JSON string containing model parameters
     * @returns Record<string, any> | undefined - Parsed parameters or undefined
     */
    private parseModelParameters;
    /**
     * Selects vendor information for a model, preferring inference providers
     */
    private selectVendorForModel;
}
//# sourceMappingURL=ExecutionPlanner.d.ts.map