mcp-chain-of-thought/dist/prompts/generators/loadTasksFromMemory.js

Chain of Thought is a tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavi

/**
 * loadTasksFromMemory prompt generator
 * Responsible for combining templates and parameters into the final prompt
 */
import { loadPrompt, generatePrompt, loadPromptFromTemplate, } from "../loader.js";
/**
 * Get the complete loadTasksFromMemory prompt
 * @param params prompt parameters
 * @returns generated prompt
 */
export function getLoadTasksFromMemoryPrompt(params) {
    const { success, message, loadedTasks } = params;
    let content = "";
    if (success) {
        // Generate tasks list if tasks were loaded
        let tasksList = "";
        if (loadedTasks && loadedTasks.length > 0) {
            // Format tasks rows
            let tasksRows = "";
            loadedTasks.forEach(task => {
                tasksRows += `| \`${task.id}\` | ${task.name} | ${task.status} |\n`;
            });
            // Load tasks list template
            const tasksListTemplate = loadPromptFromTemplate("loadTasksFromMemory/tasksList.md");
            tasksList = generatePrompt(tasksListTemplate, {
                tasksRows,
            });
        }
        // Load success template
        const successTemplate = loadPromptFromTemplate("loadTasksFromMemory/success.md");
        content = generatePrompt(successTemplate, {
            message,
            tasksList,
        });
    }
    else {
        // Error occurred
        const errorTemplate = loadPromptFromTemplate("loadTasksFromMemory/error.md");
        // Load usage instructions
        const usageInstructionsTemplate = loadPromptFromTemplate("loadTasksFromMemory/usageInstructions.md");
        const usageInstructions = generatePrompt(usageInstructionsTemplate, {});
        content = generatePrompt(errorTemplate, {
            message,
            usageInstructions,
        });
    }
    const indexTemplate = loadPromptFromTemplate("loadTasksFromMemory/index.md");
    let prompt = generatePrompt(indexTemplate, {
        content,
    });
    // Load possible custom prompt
    return loadPrompt(prompt, "LOAD_TASKS_FROM_MEMORY");
}
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