/**
 * models.js
 * MCP tool for managing AI model configurations
 */

import { z } from 'zod';
import {
	getProjectRootFromSession,
	handleApiResult,
	createErrorResponse
} from './utils.js';
import { modelsDirect } from '../core/task-master-core.js';

/**
 * Register the models tool with the MCP server
 * @param {Object} server - FastMCP server instance
 */
export function registerModelsTool(server) {
	server.addTool({
		name: 'models',
		description:
			'Get information about available AI models or set model configurations. Run without arguments to get the current model configuration and API key status for the selected model providers.',
		parameters: z.object({
			setMain: z
				.string()
				.optional()
				.describe(
					'Set the primary model for task generation/updates. Model provider API key is required in the MCP config ENV.'
				),
			setResearch: z
				.string()
				.optional()
				.describe(
					'Set the model for research-backed operations. Model provider API key is required in the MCP config ENV.'
				),
			setFallback: z
				.string()
				.optional()
				.describe(
					'Set the model to use if the primary fails. Model provider API key is required in the MCP config ENV.'
				),
			listAvailableModels: z
				.boolean()
				.optional()
				.describe('List all available models not currently in use.'),
			projectRoot: z
				.string()
				.optional()
				.describe('The directory of the project. Must be an absolute path.')
		}),
		execute: async (args, { log, session }) => {
			try {
				log.info(`Starting models tool with args: ${JSON.stringify(args)}`);

				// Get project root from args or session
				const rootFolder =
					args.projectRoot || getProjectRootFromSession(session, log);

				// Ensure project root was determined
				if (!rootFolder) {
					return createErrorResponse(
						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
					);
				}

				// Call the direct function
				const result = await modelsDirect(
					{ ...args, projectRoot: rootFolder },
					log,
					{ session }
				);

				// Handle and return the result
				return handleApiResult(result, log);
			} catch (error) {
				log.error(`Error in models tool: ${error.message}`);
				return createErrorResponse(error.message);
			}
		}
	});
}