promptly-ai/dist/core/template-renderer.js

A universal template-based prompt management system for LLM applications

"use strict";
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}) : (function(o, m, k, k2) {
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}));
var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
    Object.defineProperty(o, "default", { enumerable: true, value: v });
}) : function(o, v) {
    o["default"] = v;
});
var __importStar = (this && this.__importStar) || (function () {
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Object.defineProperty(exports, "__esModule", { value: true });
exports.TemplateRenderer = void 0;
const Handlebars = __importStar(require("handlebars"));
const utils_1 = require("../utils");
class TemplateRenderer {
    constructor() {
        // Handlebars helpers are registered globally in the setup
    }
    /**
     * Render a template with the provided context
     */
    async renderTemplate(template, context = {}, defaultModel) {
        const messages = [];
        // Render system prompt if present
        if (template.content.systemPrompt) {
            const systemTemplate = Handlebars.compile(template.content.systemPrompt);
            const renderedSystem = systemTemplate(context).trim();
            if (renderedSystem) {
                messages.push({
                    role: 'system',
                    content: renderedSystem,
                });
            }
        }
        // Render and add all messages in sequence, checking conditions
        for (const message of template.content.messages) {
            // Check if message should be included based on condition
            let shouldInclude = true;
            if (message.condition) {
                shouldInclude = (0, utils_1.evaluateCondition)(message.condition, context);
            }
            if (shouldInclude) {
                const messageTemplate = Handlebars.compile(message.content);
                const renderedContent = messageTemplate(context).trim();
                if (renderedContent) {
                    messages.push({
                        role: message.role,
                        content: renderedContent,
                    });
                }
            }
        }
        // Determine the model to use
        const model = template.metadata.model || defaultModel;
        if (!model) {
            throw new Error(`No model specified in template "${template.metadata.name}" and no default model provided`);
        }
        return {
            config: {
                model,
                messages,
                temperature: template.metadata.temperature,
                maxTokens: template.metadata.maxTokens,
                maxThinkingTokens: template.metadata.maxThinkingTokens,
            },
            metadata: template.metadata,
        };
    }
}
exports.TemplateRenderer = TemplateRenderer;
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