hotfix: move production package to "dependencies"

.changeset/beige-doodles-type.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-Resolve all issues related to MCP

.changeset/floppy-plants-marry.md

@@ -1,9 +0,0 @@
----
-'task-master-ai': patch
----
-
-Fix CLI --force flag for parse-prd command
-
-Previously, the --force flag was not respected when running `parse-prd`, causing the command to prompt for confirmation or fail even when --force was provided. This patch ensures that the flag is correctly passed and handled, allowing users to overwrite existing tasks.json files as intended.
-
-- Fixes #477

.changeset/forty-plums-stay.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': minor
----
-
-.taskmasterconfig now supports a baseUrl field per model role (main, research, fallback), allowing endpoint overrides for any provider.

.changeset/many-wasps-sell.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-Task Master no longer tells you to update when you're already up to date

.changeset/pre.json

@@ -1,12 +0,0 @@
-{
-  "mode": "exit",
-  "tag": "rc",
-  "initialVersions": {
-    "task-master-ai": "0.13.2"
-  },
-  "changesets": [
-    "beige-doodles-type",
-    "red-oranges-attend",
-    "red-suns-wash"
-  ]
-}

.changeset/red-suns-wash.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-Add src directory to exports

.changeset/sharp-dingos-melt.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-Fix the error handling of task status settings

.changeset/six-cloths-happen.md

@@ -1,7 +0,0 @@
----
-'task-master-ai': patch
----
-
-Remove caching layer from MCP direct functions for task listing, next task, and complexity report
-
-- Fixes issues users where having where they were getting stale data

.changeset/slow-singers-swim.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-Fix for issue #409 LOG_LEVEL Pydantic validation error

.changeset/soft-zoos-flow.md

@@ -1,7 +0,0 @@
----
-'task-master-ai': patch
----
-
-Fix initial .env.example to work out of the box
-
-- Closes #419

.changeset/ten-ways-mate.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-Fix default fallback model and maxTokens in Taskmaster initialization

.changeset/tricky-wombats-spend.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-Fix bug when updating tasks on the MCP server (#412)

.changeset/wide-eyes-relax.md

@@ -1,11 +0,0 @@
----
-'task-master-ai': patch
----
-
-Fix duplicate output on CLI help screen
-
-- Prevent the Task Master CLI from printing the help screen more than once when using `-h` or `--help`.
-- Removed redundant manual event handlers and guards for help output; now only the Commander `.helpInformation` override is used for custom help.
-- Simplified logic so that help is only shown once for both "no arguments" and help flag flows.
-- Ensures a clean, branded help experience with no repeated content.
-- Fixes #339

.cursor/rules/dev_workflow.mdc

@@ -116,7 +116,7 @@ Taskmaster configuration is managed through two main mechanisms:
     *   For MCP/Cursor integration, configure these keys in the `env` section of `.cursor/mcp.json`.
     *   Available keys/variables: See `assets/env.example` or the Configuration section in the command reference (previously linked to `taskmaster.mdc`).
 
-**Important:** Non-API key settings (like model selections, `MAX_TOKENS`, `TASKMASTER_LOG_LEVEL`) are **no longer configured via environment variables**. Use the `task-master models` command (or `--setup` for interactive configuration) or the `models` MCP tool.
+**Important:** Non-API key settings (like model selections, `MAX_TOKENS`, `LOG_LEVEL`) are **no longer configured via environment variables**. Use the `task-master models` command (or `--setup` for interactive configuration) or the `models` MCP tool.
 **If AI commands FAIL in MCP** verify that the API key for the selected provider is present in the `env` section of `.cursor/mcp.json`.
 **If AI commands FAIL in CLI** verify that the API key for the selected provider is present in the `.env` file in the root of the project.
 

.github/workflows/pre-release.yml

@@ -1,62 +0,0 @@
-name: Pre-Release (RC)
-
-on:
-  workflow_dispatch: # Allows manual triggering from GitHub UI/API
-
-concurrency: pre-release-${{ github.ref }}
-
-jobs:
-  rc:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - uses: actions/setup-node@v4
-        with:
-          node-version: 20
-          cache: 'npm'
-
-      - name: Cache node_modules
-        uses: actions/cache@v4
-        with:
-          path: |
-            node_modules
-            */*/node_modules
-          key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
-          restore-keys: |
-            ${{ runner.os }}-node-
-
-      - name: Install dependencies
-        run: npm ci
-        timeout-minutes: 2
-
-      - name: Enter RC mode
-        run: |
-          npx changeset pre exit || true
-          npx changeset pre enter rc
-
-      - name: Version RC packages
-        run: npx changeset version
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
-
-      - name: Create Release Candidate Pull Request or Publish Release Candidate to npm
-        uses: changesets/action@v1
-        with:
-          publish: npm run release
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
-
-      - name: Exit RC mode
-        run: npx changeset pre exit
-
-      - name: Commit & Push changes
-        uses: actions-js/push@master
-        with:
-          github_token: ${{ secrets.GITHUB_TOKEN }}
-          branch: ${{ github.ref }}
-          message: 'chore: rc version bump'

.github/workflows/release.yml

@@ -33,9 +33,6 @@ jobs:
         run: npm ci
         timeout-minutes: 2
 
-      - name: Exit pre-release mode (safety check)
-        run: npx changeset pre exit || true
-
       - name: Create Release Pull Request or Publish to npm
         uses: changesets/action@v1
         with:

.gitignore

@@ -61,6 +61,3 @@ dist
 *.debug
 init-debug.log
 dev-debug.log
-
-# NPMRC
-.npmrc

CHANGELOG.md

@@ -1,11 +1,5 @@
 # task-master-ai
 
-## 0.13.1
-
-### Patch Changes
-
-- [#399](https://github.com/eyaltoledano/claude-task-master/pull/399) [`734a4fd`](https://github.com/eyaltoledano/claude-task-master/commit/734a4fdcfc89c2e089255618cf940561ad13a3c8) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fix ERR_MODULE_NOT_FOUND when trying to run MCP Server
-
 ## 0.13.0
 
 ### Minor Changes

assets/.taskmasterconfig

@@ -14,8 +14,8 @@
 		},
 		"fallback": {
 			"provider": "anthropic",
-			"modelId": "claude-3-5-sonnet-20240620",
-			"maxTokens": 8192,
+			"modelId": "claude-3.5-sonnet-20240620",
+			"maxTokens": 120000,
 			"temperature": 0.1
 		}
 	},

assets/.windsurfrules

@@ -198,7 +198,7 @@ alwaysApply: true
   - **MAX_TOKENS** (Default: `"4000"`): Maximum tokens for responses (Example: `MAX_TOKENS=8000`)
   - **TEMPERATURE** (Default: `"0.7"`): Temperature for model responses (Example: `TEMPERATURE=0.5`)
   - **DEBUG** (Default: `"false"`): Enable debug logging (Example: `DEBUG=true`)
-  - **TASKMASTER_LOG_LEVEL** (Default: `"info"`): Console output level (Example: `TASKMASTER_LOG_LEVEL=debug`)
+  - **LOG_LEVEL** (Default: `"info"`): Console output level (Example: `LOG_LEVEL=debug`)
   - **DEFAULT_SUBTASKS** (Default: `"3"`): Default subtask count (Example: `DEFAULT_SUBTASKS=5`)
   - **DEFAULT_PRIORITY** (Default: `"medium"`): Default priority (Example: `DEFAULT_PRIORITY=high`)
   - **PROJECT_NAME** (Default: `"MCP SaaS MVP"`): Project name in metadata (Example: `PROJECT_NAME=My Awesome Project`)

assets/env.example

@@ -1,8 +1,8 @@
 # API Keys (Required to enable respective provider)
-ANTHROPIC_API_KEY="your_anthropic_api_key_here"       # Required: Format: sk-ant-api03-...
-PERPLEXITY_API_KEY="your_perplexity_api_key_here"     # Optional: Format: pplx-...
-OPENAI_API_KEY="your_openai_api_key_here"             # Optional, for OpenAI/OpenRouter models. Format: sk-proj-...
-GOOGLE_API_KEY="your_google_api_key_here"             # Optional, for Google Gemini models.
-MISTRAL_API_KEY="your_mistral_key_here"               # Optional, for Mistral AI models.
-XAI_API_KEY="YOUR_XAI_KEY_HERE"                       # Optional, for xAI AI models.
-AZURE_OPENAI_API_KEY="your_azure_key_here"            # Optional, for Azure OpenAI models (requires endpoint in .taskmasterconfig).
+ANTHROPIC_API_KEY=your_anthropic_api_key_here       # Required: Format: sk-ant-api03-...
+PERPLEXITY_API_KEY=your_perplexity_api_key_here     # Optional: Format: pplx-...
+OPENAI_API_KEY=your_openai_api_key_here             # Optional, for OpenAI/OpenRouter models. Format: sk-proj-...
+GOOGLE_API_KEY=your_google_api_key_here             # Optional, for Google Gemini models.
+MISTRAL_API_KEY=your_mistral_key_here               # Optional, for Mistral AI models.
+XAI_API_KEY=YOUR_XAI_KEY_HERE                       # Optional, for xAI AI models.
+AZURE_OPENAI_API_KEY=your_azure_key_here            # Optional, for Azure OpenAI models (requires endpoint in .taskmasterconfig).

assets/scripts_README.md

@@ -31,7 +31,7 @@ Task Master configuration is now managed through two primary methods:
     - Create a `.env` file in your project root for CLI usage.
     - See `assets/env.example` for required key names.
 
-**Important:** Settings like `MODEL`, `MAX_TOKENS`, `TEMPERATURE`, `TASKMASTER_LOG_LEVEL`, etc., are **no longer set via `.env`**. Use `task-master models --setup` instead.
+**Important:** Settings like `MODEL`, `MAX_TOKENS`, `TEMPERATURE`, `LOG_LEVEL`, etc., are **no longer set via `.env`**. Use `task-master models --setup` instead.
 
 ## How It Works
 
@@ -200,7 +200,7 @@ Notes:
 
 ## Logging
 
-The script supports different logging levels controlled by the `TASKMASTER_LOG_LEVEL` environment variable:
+The script supports different logging levels controlled by the `LOG_LEVEL` environment variable:
 
 - `debug`: Detailed information, typically useful for troubleshooting
 - `info`: Confirmation that things are working as expected (default)

docs/configuration.md

@@ -15,15 +15,13 @@ Taskmaster uses two primary methods for configuration:
       			"provider": "anthropic",
       			"modelId": "claude-3-7-sonnet-20250219",
       			"maxTokens": 64000,
-      			"temperature": 0.2,
-      			"baseUrl": "https://api.anthropic.com/v1"
+      			"temperature": 0.2
       		},
       		"research": {
       			"provider": "perplexity",
       			"modelId": "sonar-pro",
       			"maxTokens": 8700,
-      			"temperature": 0.1,
-      			"baseUrl": "https://api.perplexity.ai/v1"
+      			"temperature": 0.1
       		},
       		"fallback": {
       			"provider": "anthropic",
@@ -58,9 +56,8 @@ Taskmaster uses two primary methods for configuration:
       - `AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key (also requires `AZURE_OPENAI_ENDPOINT`).
       - `OPENROUTER_API_KEY`: Your OpenRouter API key.
       - `XAI_API_KEY`: Your X-AI API key.
-    - **Optional Endpoint Overrides:**
-      - **Per-role `baseUrl` in `.taskmasterconfig`:** You can add a `baseUrl` property to any model role (`main`, `research`, `fallback`) to override the default API endpoint for that provider. If omitted, the provider's standard endpoint is used.
-      - `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key (can also be set as `baseUrl` for the Azure model role).
+    - **Optional Endpoint Overrides (in .taskmasterconfig):**
+      - `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key.
       - `OLLAMA_BASE_URL`: Override the default Ollama API URL (Default: `http://localhost:11434/api`).
 
 **Important:** Settings like model ID selections (`main`, `research`, `fallback`), `maxTokens`, `temperature`, `logLevel`, `defaultSubtasks`, `defaultPriority`, and `projectName` are **managed in `.taskmasterconfig`**, not environment variables.

mcp-server/src/core/direct-functions/complexity-report.js

@@ -8,6 +8,7 @@ import {
 	enableSilentMode,
 	disableSilentMode
 } from '../../../../scripts/modules/utils.js';
+import { getCachedOrExecute } from '../../tools/utils.js';
 
 /**
  * Direct function wrapper for displaying the complexity report with error handling and caching.
@@ -85,20 +86,30 @@ export async function complexityReportDirect(args, log) {
 
 		// Use the caching utility
 		try {
-			const result = await coreActionFn();
-			log.info('complexityReportDirect completed');
-			return result;
+			const result = await getCachedOrExecute({
+				cacheKey,
+				actionFn: coreActionFn,
+				log
+			});
+			log.info(
+				`complexityReportDirect completed. From cache: ${result.fromCache}`
+			);
+			return result; // Returns { success, data/error, fromCache }
 		} catch (error) {
+			// Catch unexpected errors from getCachedOrExecute itself
 			// Ensure silent mode is disabled
 			disableSilentMode();
 
-			log.error(`Unexpected error during complexityReport: ${error.message}`);
+			log.error(
+				`Unexpected error during getCachedOrExecute for complexityReport: ${error.message}`
+			);
 			return {
 				success: false,
 				error: {
 					code: 'UNEXPECTED_ERROR',
 					message: error.message
-				}
+				},
+				fromCache: false
 			};
 		}
 	} catch (error) {

mcp-server/src/core/direct-functions/list-tasks.js

@@ -4,6 +4,7 @@
  */
 
 import { listTasks } from '../../../../scripts/modules/task-manager.js';
+import { getCachedOrExecute } from '../../tools/utils.js';
 import {
 	enableSilentMode,
 	disableSilentMode
@@ -35,6 +36,7 @@ export async function listTasksDirect(args, log) {
 	// Use the explicit tasksJsonPath for cache key
 	const statusFilter = status || 'all';
 	const withSubtasksFilter = withSubtasks || false;
+	const cacheKey = `listTasks:${tasksJsonPath}:${statusFilter}:${withSubtasksFilter}`;
 
 	// Define the action function to be executed on cache miss
 	const coreListTasksAction = async () => {
@@ -86,19 +88,25 @@ export async function listTasksDirect(args, log) {
 		}
 	};
 
+	// Use the caching utility
 	try {
-		const result = await coreListTasksAction();
-		log.info('listTasksDirect completed');
-		return result;
+		const result = await getCachedOrExecute({
+			cacheKey,
+			actionFn: coreListTasksAction,
+			log
+		});
+		log.info(`listTasksDirect completed. From cache: ${result.fromCache}`);
+		return result; // Returns { success, data/error, fromCache }
 	} catch (error) {
-		log.error(`Unexpected error during listTasks: ${error.message}`);
+		// Catch unexpected errors from getCachedOrExecute itself (though unlikely)
+		log.error(
+			`Unexpected error during getCachedOrExecute for listTasks: ${error.message}`
+		);
 		console.error(error.stack);
 		return {
 			success: false,
-			error: {
-				code: 'UNEXPECTED_ERROR',
-				message: error.message
-			}
+			error: { code: 'CACHE_UTIL_ERROR', message: error.message },
+			fromCache: false
 		};
 	}
 }

mcp-server/src/core/direct-functions/next-task.js

@@ -5,6 +5,7 @@
 
 import { findNextTask } from '../../../../scripts/modules/task-manager.js';
 import { readJSON } from '../../../../scripts/modules/utils.js';
+import { getCachedOrExecute } from '../../tools/utils.js';
 import {
 	enableSilentMode,
 	disableSilentMode
@@ -34,6 +35,9 @@ export async function nextTaskDirect(args, log) {
 		};
 	}
 
+	// Generate cache key using the provided task path
+	const cacheKey = `nextTask:${tasksJsonPath}`;
+
 	// Define the action function to be executed on cache miss
 	const coreNextTaskAction = async () => {
 		try {
@@ -114,11 +118,18 @@ export async function nextTaskDirect(args, log) {
 
 	// Use the caching utility
 	try {
-		const result = await coreNextTaskAction();
-		log.info(`nextTaskDirect completed.`);
-		return result;
+		const result = await getCachedOrExecute({
+			cacheKey,
+			actionFn: coreNextTaskAction,
+			log
+		});
+		log.info(`nextTaskDirect completed. From cache: ${result.fromCache}`);
+		return result; // Returns { success, data/error, fromCache }
 	} catch (error) {
-		log.error(`Unexpected error during nextTask: ${error.message}`);
+		// Catch unexpected errors from getCachedOrExecute itself
+		log.error(
+			`Unexpected error during getCachedOrExecute for nextTask: ${error.message}`
+		);
 		return {
 			success: false,
 			error: {

mcp-server/src/core/direct-functions/show-task.js

@@ -4,6 +4,11 @@
  */
 
 import { findTaskById, readJSON } from '../../../../scripts/modules/utils.js';
+import { getCachedOrExecute } from '../../tools/utils.js';
+import {
+	enableSilentMode,
+	disableSilentMode
+} from '../../../../scripts/modules/utils.js';
 import { findTasksJsonPath } from '../utils/path-utils.js';
 
 /**

mcp-server/src/core/direct-functions/update-tasks.js

@@ -6,10 +6,6 @@
 import path from 'path';
 import { updateTasks } from '../../../../scripts/modules/task-manager.js';
 import { createLogWrapper } from '../../tools/utils.js';
-import {
-	enableSilentMode,
-	disableSilentMode
-} from '../../../../scripts/modules/utils.js';
 
 /**
  * Direct function wrapper for updating tasks based on new context.

mcp-server/src/tools/set-task-status.js

@@ -11,7 +11,6 @@ import {
 } from './utils.js';
 import { setTaskStatusDirect } from '../core/task-master-core.js';
 import { findTasksJsonPath } from '../core/utils/path-utils.js';
-import { TASK_STATUS_OPTIONS } from '../../../src/constants/task-status.js';
 
 /**
  * Register the setTaskStatus tool with the MCP server
@@ -28,7 +27,7 @@ export function registerSetTaskStatusTool(server) {
 					"Task ID or subtask ID (e.g., '15', '15.2'). Can be comma-separated to update multiple tasks/subtasks at once."
 				),
 			status: z
-				.enum(TASK_STATUS_OPTIONS)
+				.string()
 				.describe(
 					"New status to set (e.g., 'pending', 'done', 'in-progress', 'review', 'deferred', 'cancelled'."
 				),

package-lock.json

@@ -1,12 +1,12 @@
 {
 	"name": "task-master-ai",
-	"version": "0.13.2",
+	"version": "0.13.0",
 	"lockfileVersion": 3,
 	"requires": true,
 	"packages": {
 		"": {
 			"name": "task-master-ai",
-			"version": "0.13.2",
+			"version": "0.13.0",
 			"license": "MIT WITH Commons-Clause",
 			"dependencies": {
 				"@ai-sdk/anthropic": "^1.2.10",

package.json

@@ -1,6 +1,6 @@
 {
 	"name": "task-master-ai",
-	"version": "0.13.2",
+	"version": "0.13.0",
 	"description": "A task management system for ambitious AI-driven development that doesn't overwhelm and confuse Cursor.",
 	"main": "index.js",
 	"type": "module",
@@ -82,14 +82,15 @@
 		"url": "https://github.com/eyaltoledano/claude-task-master/issues"
 	},
 	"files": [
-		"scripts/**",
+		"scripts/init.js",
+		"scripts/dev.js",
+		"scripts/modules/**",
 		"assets/**",
 		".cursor/**",
 		"README-task-master.md",
 		"index.js",
 		"bin/**",
-		"mcp-server/**",
-		"src/**"
+		"mcp-server/**"
 	],
 	"overrides": {
 		"node-fetch": "^3.3.2",

scripts/README.md

@@ -32,7 +32,7 @@ The script can be configured through environment variables in a `.env` file at t
 - `PERPLEXITY_API_KEY`: Your Perplexity API key for research-backed subtask generation
 - `PERPLEXITY_MODEL`: Specify which Perplexity model to use (default: "sonar-medium-online")
 - `DEBUG`: Enable debug logging (default: false)
-- `TASKMASTER_LOG_LEVEL`: Log level - debug, info, warn, error (default: info)
+- `LOG_LEVEL`: Log level - debug, info, warn, error (default: info)
 - `DEFAULT_SUBTASKS`: Default number of subtasks when expanding (default: 3)
 - `DEFAULT_PRIORITY`: Default priority for generated tasks (default: medium)
 - `PROJECT_NAME`: Override default project name in tasks.json
@@ -225,7 +225,7 @@ To use the Perplexity integration:
 
 ## Logging
 
-The script supports different logging levels controlled by the `TASKMASTER_LOG_LEVEL` environment variable:
+The script supports different logging levels controlled by the `LOG_LEVEL` environment variable:
 
 - `debug`: Detailed information, typically useful for troubleshooting
 - `info`: Confirmation that things are working as expected (default)

scripts/init.js

@@ -38,10 +38,10 @@ const LOG_LEVELS = {
 	success: 4
 };
 
-// Determine log level from environment variable or default to 'info'
-const LOG_LEVEL = process.env.TASKMASTER_LOG_LEVEL
-	? LOG_LEVELS[process.env.TASKMASTER_LOG_LEVEL.toLowerCase()]
-	: LOG_LEVELS.info; // Default to info
+// Get log level from environment or default to info
+const LOG_LEVEL = process.env.LOG_LEVEL
+	? LOG_LEVELS[process.env.LOG_LEVEL.toLowerCase()]
+	: LOG_LEVELS.info;
 
 // Create a color gradient for the banner
 const coolGradient = gradient(['#00b4d8', '#0077b6', '#03045e']);

scripts/modules/ai-services-unified.js

@@ -14,8 +14,7 @@ import {
 	getResearchModelId,
 	getFallbackProvider,
 	getFallbackModelId,
-	getParametersForRole,
-	getBaseUrlForRole
+	getParametersForRole
 } from './config-manager.js';
 import { log, resolveEnvVariable, findProjectRoot } from './utils.js';
 
@@ -285,13 +284,7 @@ async function _unifiedServiceRunner(serviceType, params) {
 		'AI service call failed for all configured roles.';
 
 	for (const currentRole of sequence) {
-		let providerName,
-			modelId,
-			apiKey,
-			roleParams,
-			providerFnSet,
-			providerApiFn,
-			baseUrl;
+		let providerName, modelId, apiKey, roleParams, providerFnSet, providerApiFn;
 
 		try {
 			log('info', `New AI service call with role: ${currentRole}`);
@@ -332,7 +325,6 @@ async function _unifiedServiceRunner(serviceType, params) {
 
 			// Pass effectiveProjectRoot to getParametersForRole
 			roleParams = getParametersForRole(currentRole, effectiveProjectRoot);
-			baseUrl = getBaseUrlForRole(currentRole, effectiveProjectRoot);
 
 			// 2. Get Provider Function Set
 			providerFnSet = PROVIDER_FUNCTIONS[providerName?.toLowerCase()];
@@ -409,7 +401,6 @@ async function _unifiedServiceRunner(serviceType, params) {
 				maxTokens: roleParams.maxTokens,
 				temperature: roleParams.temperature,
 				messages,
-				baseUrl,
 				...(serviceType === 'generateObject' && { schema, objectName }),
 				...restApiParams
 			};

scripts/modules/commands.js

@@ -73,11 +73,7 @@ import {
 	getApiKeyStatusReport
 } from './task-manager/models.js';
 import { findProjectRoot } from './utils.js';
-import {
-	isValidTaskStatus,
-	TASK_STATUS_OPTIONS
-} from '../../src/constants/task-status.js';
-import { getTaskMasterVersion } from '../../src/utils/getVersion.js';
+
 /**
  * Runs the interactive setup process for model configuration.
  * @param {string|null} projectRoot - The resolved project root directory.
@@ -490,6 +486,11 @@ function registerCommands(programInstance) {
 		process.exit(1);
 	});
 
+	// Default help
+	programInstance.on('--help', function () {
+		displayHelp();
+	});
+
 	// parse-prd command
 	programInstance
 		.command('parse-prd')
@@ -514,7 +515,7 @@ function registerCommands(programInstance) {
 			const outputPath = options.output;
 			const force = options.force || false;
 			const append = options.append || false;
-			let useForce = force;
+			let useForce = false;
 			let useAppend = false;
 
 			// Helper function to check if tasks.json exists and confirm overwrite
@@ -608,7 +609,7 @@ function registerCommands(programInstance) {
 				spinner = ora('Parsing PRD and generating tasks...').start();
 				await parsePRD(inputFile, outputPath, numTasks, {
 					append: useAppend,
-					useForce
+					force: useForce
 				});
 				spinner.succeed('Tasks generated successfully!');
 			} catch (error) {
@@ -1037,7 +1038,7 @@ function registerCommands(programInstance) {
 		)
 		.option(
 			'-s, --status <status>',
-			`New status (one of: ${TASK_STATUS_OPTIONS.join(', ')})`
+			'New status (todo, in-progress, review, done)'
 		)
 		.option('-f, --file <file>', 'Path to the tasks file', 'tasks/tasks.json')
 		.action(async (options) => {
@@ -1050,16 +1051,6 @@ function registerCommands(programInstance) {
 				process.exit(1);
 			}
 
-			if (!isValidTaskStatus(status)) {
-				console.error(
-					chalk.red(
-						`Error: Invalid status value: ${status}. Use one of: ${TASK_STATUS_OPTIONS.join(', ')}`
-					)
-				);
-
-				process.exit(1);
-			}
-
 			console.log(
 				chalk.blue(`Setting status of task(s) ${taskId} to: ${status}`)
 			);
@@ -1287,6 +1278,10 @@ function registerCommands(programInstance) {
 			'--details <details>',
 			'Implementation details (for manual task creation)'
 		)
+		.option(
+			'--test-strategy <testStrategy>',
+			'Test strategy (for manual task creation)'
+		)
 		.option(
 			'--dependencies <dependencies>',
 			'Comma-separated list of task IDs this task depends on'
@@ -1668,7 +1663,6 @@ function registerCommands(programInstance) {
 				}
 			} catch (error) {
 				console.error(chalk.red(`Error: ${error.message}`));
-				showAddSubtaskHelp();
 				process.exit(1);
 			}
 		})
@@ -2372,7 +2366,14 @@ function setupCLI() {
 			return 'unknown'; // Default fallback if package.json fails
 		})
 		.helpOption('-h, --help', 'Display help')
-		.addHelpCommand(false); // Disable default help command
+		.addHelpCommand(false) // Disable default help command
+		.on('--help', () => {
+			displayHelp(); // Use your custom help display instead
+		})
+		.on('-h', () => {
+			displayHelp();
+			process.exit(0);
+		});
 
 	// Modify the help option to use your custom display
 	programInstance.helpInformation = () => {
@@ -2392,7 +2393,28 @@ function setupCLI() {
  */
 async function checkForUpdate() {
 	// Get current version from package.json ONLY
-	const currentVersion = getTaskMasterVersion();
+	let currentVersion = 'unknown'; // Initialize with a default
+	try {
+		// Try to get the version from the installed package (if applicable) or current dir
+		let packageJsonPath = path.join(
+			process.cwd(),
+			'node_modules',
+			'task-master-ai',
+			'package.json'
+		);
+		// Fallback to current directory package.json if not found in node_modules
+		if (!fs.existsSync(packageJsonPath)) {
+			packageJsonPath = path.join(process.cwd(), 'package.json');
+		}
+
+		if (fs.existsSync(packageJsonPath)) {
+			const packageJson = JSON.parse(fs.readFileSync(packageJsonPath, 'utf8'));
+			currentVersion = packageJson.version;
+		}
+	} catch (error) {
+		// Silently fail and use default
+		log('debug', `Error reading current package version: ${error.message}`);
+	}
 
 	return new Promise((resolve) => {
 		// Get the latest version from npm registry

scripts/modules/config-manager.js

@@ -677,13 +677,6 @@ function getAllProviders() {
 	return Object.keys(MODEL_MAP || {});
 }
 
-function getBaseUrlForRole(role, explicitRoot = null) {
-	const roleConfig = getModelConfigForRole(role, explicitRoot);
-	return roleConfig && typeof roleConfig.baseUrl === 'string'
-		? roleConfig.baseUrl
-		: undefined;
-}
-
 export {
 	// Core config access
 	getConfig,
@@ -711,7 +704,6 @@ export {
 	getFallbackModelId,
 	getFallbackMaxTokens,
 	getFallbackTemperature,
-	getBaseUrlForRole,
 
 	// Global setting getters (No env var overrides)
 	getLogLevel,

scripts/modules/task-manager/set-task-status.js

@@ -8,10 +8,6 @@ import { validateTaskDependencies } from '../dependency-manager.js';
 import { getDebugFlag } from '../config-manager.js';
 import updateSingleTaskStatus from './update-single-task-status.js';
 import generateTaskFiles from './generate-task-files.js';
-import {
-	isValidTaskStatus,
-	TASK_STATUS_OPTIONS
-} from '../../../src/constants/task-status.js';
 
 /**
  * Set the status of a task
@@ -23,11 +19,6 @@ import {
  */
 async function setTaskStatus(tasksPath, taskIdInput, newStatus, options = {}) {
 	try {
-		if (!isValidTaskStatus(newStatus)) {
-			throw new Error(
-				`Error: Invalid status value: ${newStatus}. Use one of: ${TASK_STATUS_OPTIONS.join(', ')}`
-			);
-		}
 		// Determine if we're in MCP mode by checking for mcpLog
 		const isMcpMode = !!options?.mcpLog;
 

scripts/modules/task-manager/update-single-task-status.js

@@ -1,7 +1,6 @@
 import chalk from 'chalk';
 
 import { log } from '../utils.js';
-import { isValidTaskStatus } from '../../../src/constants/task-status.js';
 
 /**
  * Update the status of a single task
@@ -18,12 +17,6 @@ async function updateSingleTaskStatus(
 	data,
 	showUi = true
 ) {
-	if (!isValidTaskStatus(newStatus)) {
-		throw new Error(
-			`Error: Invalid status value: ${newStatus}. Use one of: ${TASK_STATUS_OPTIONS.join(', ')}`
-		);
-	}
-
 	// Check if it's a subtask (e.g., "1.2")
 	if (taskIdInput.includes('.')) {
 		const [parentId, subtaskId] = taskIdInput

scripts/modules/ui.js

@@ -16,11 +16,10 @@ import {
 	truncate,
 	isSilentMode
 } from './utils.js';
+import path from 'path';
 import fs from 'fs';
 import { findNextTask, analyzeTaskComplexity } from './task-manager.js';
 import { getProjectName, getDefaultSubtasks } from './config-manager.js';
-import { TASK_STATUS_OPTIONS } from '../../src/constants/task-status.js';
-import { getTaskMasterVersion } from '../../src/utils/getVersion.js';
 
 // Create a color gradient for the banner
 const coolGradient = gradient(['#00b4d8', '#0077b6', '#03045e']);
@@ -47,7 +46,17 @@ function displayBanner() {
 	);
 
 	// Read version directly from package.json
-	const version = getTaskMasterVersion();
+	let version = 'unknown'; // Initialize with a default
+	try {
+		const packageJsonPath = path.join(process.cwd(), 'package.json');
+		if (fs.existsSync(packageJsonPath)) {
+			const packageJson = JSON.parse(fs.readFileSync(packageJsonPath, 'utf8'));
+			version = packageJson.version;
+		}
+	} catch (error) {
+		// Silently fall back to default version
+		log('warn', 'Could not read package.json for version info.');
+	}
 
 	console.log(
 		boxen(
@@ -449,7 +458,7 @@ function displayHelp() {
 				{
 					name: 'set-status',
 					args: '--id=<id> --status=<status>',
-					desc: `Update task status (${TASK_STATUS_OPTIONS.join(', ')})`
+					desc: 'Update task status (done, pending, etc.)'
 				},
 				{
 					name: 'update',
@@ -800,7 +809,12 @@ async function displayNextTask(tasksPath) {
 			'padding-bottom': 0,
 			compact: true
 		},
-		chars: { mid: '', 'left-mid': '', 'mid-mid': '', 'right-mid': '' },
+		chars: {
+			mid: '',
+			'left-mid': '',
+			'mid-mid': '',
+			'right-mid': ''
+		},
 		colWidths: [15, Math.min(75, process.stdout.columns - 20 || 60)],
 		wordWrap: true
 	});
@@ -888,7 +902,12 @@ async function displayNextTask(tasksPath) {
 				'padding-bottom': 0,
 				compact: true
 			},
-			chars: { mid: '', 'left-mid': '', 'mid-mid': '', 'right-mid': '' },
+			chars: {
+				mid: '',
+				'left-mid': '',
+				'mid-mid': '',
+				'right-mid': ''
+			},
 			wordWrap: true
 		});
 

src/ai-providers/anthropic.js

@@ -5,7 +5,7 @@
  * using the Vercel AI SDK.
  */
 import { createAnthropic } from '@ai-sdk/anthropic';
-import { generateText, streamText, generateObject } from 'ai';
+import { generateText, streamText, generateObject, streamObject } from 'ai';
 import { log } from '../../scripts/modules/utils.js'; // Assuming utils is accessible
 
 // TODO: Implement standardized functions for generateText, streamText, generateObject
@@ -17,7 +17,7 @@ import { log } from '../../scripts/modules/utils.js'; // Assuming utils is acces
 // Remove the global variable and caching logic
 // let anthropicClient;
 
-function getClient(apiKey, baseUrl) {
+function getClient(apiKey) {
 	if (!apiKey) {
 		// In a real scenario, this would use the config resolver.
 		// Throwing error here if key isn't passed for simplicity.
@@ -30,12 +30,14 @@ function getClient(apiKey, baseUrl) {
 	// Create and return a new instance directly with standard version header
 	return createAnthropic({
 		apiKey: apiKey,
-		...(baseUrl && { baseURL: baseUrl }),
+		baseURL: 'https://api.anthropic.com/v1',
 		// Use standard version header instead of beta
 		headers: {
 			'anthropic-beta': 'output-128k-2025-02-19'
 		}
 	});
+	// }
+	// return anthropicClient;
 }
 
 // --- Standardized Service Function Implementations ---
@@ -49,7 +51,6 @@ function getClient(apiKey, baseUrl) {
  * @param {Array<object>} params.messages - The messages array (e.g., [{ role: 'user', content: '...' }]).
  * @param {number} [params.maxTokens] - Maximum tokens for the response.
  * @param {number} [params.temperature] - Temperature for generation.
- * @param {string} [params.baseUrl] - The base URL for the Anthropic API.
  * @returns {Promise<string>} The generated text content.
  * @throws {Error} If the API call fails.
  */
@@ -58,12 +59,11 @@ export async function generateAnthropicText({
 	modelId,
 	messages,
 	maxTokens,
-	temperature,
-	baseUrl
+	temperature
 }) {
 	log('debug', `Generating Anthropic text with model: ${modelId}`);
 	try {
-		const client = getClient(apiKey, baseUrl);
+		const client = getClient(apiKey);
 		const result = await generateText({
 			model: client(modelId),
 			messages: messages,
@@ -93,7 +93,6 @@ export async function generateAnthropicText({
  * @param {Array<object>} params.messages - The messages array.
  * @param {number} [params.maxTokens] - Maximum tokens for the response.
  * @param {number} [params.temperature] - Temperature for generation.
- * @param {string} [params.baseUrl] - The base URL for the Anthropic API.
  * @returns {Promise<object>} The full stream result object from the Vercel AI SDK.
  * @throws {Error} If the API call fails to initiate the stream.
  */
@@ -102,20 +101,20 @@ export async function streamAnthropicText({
 	modelId,
 	messages,
 	maxTokens,
-	temperature,
-	baseUrl
+	temperature
 }) {
 	log('debug', `Streaming Anthropic text with model: ${modelId}`);
 	try {
-		const client = getClient(apiKey, baseUrl);
+		const client = getClient(apiKey);
 
+		// --- DEBUG LOGGING --- >>
 		log(
 			'debug',
 			'[streamAnthropicText] Parameters received by streamText:',
 			JSON.stringify(
 				{
-					modelId: modelId,
-					messages: messages,
+					modelId: modelId, // Log modelId being used
+					messages: messages, // Log the messages array
 					maxTokens: maxTokens,
 					temperature: temperature
 				},
@@ -123,19 +122,25 @@ export async function streamAnthropicText({
 				2
 			)
 		);
+		// --- << DEBUG LOGGING ---
 
 		const stream = await streamText({
 			model: client(modelId),
 			messages: messages,
 			maxTokens: maxTokens,
 			temperature: temperature
+			// Beta header moved to client initialization
 			// TODO: Add other relevant parameters
 		});
 
 		// *** RETURN THE FULL STREAM OBJECT, NOT JUST stream.textStream ***
 		return stream;
 	} catch (error) {
-		log('error', `Anthropic streamText failed: ${error.message}`, error.stack);
+		log(
+			'error',
+			`Anthropic streamText failed: ${error.message}`,
+			error.stack // Log stack trace for more details
+		);
 		throw error;
 	}
 }
@@ -155,7 +160,6 @@ export async function streamAnthropicText({
  * @param {number} [params.maxTokens] - Maximum tokens for the response.
  * @param {number} [params.temperature] - Temperature for generation.
  * @param {number} [params.maxRetries] - Max retries for validation/generation.
- * @param {string} [params.baseUrl] - The base URL for the Anthropic API.
  * @returns {Promise<object>} The generated object matching the schema.
  * @throws {Error} If generation or validation fails.
  */
@@ -167,22 +171,24 @@ export async function generateAnthropicObject({
 	objectName = 'generated_object',
 	maxTokens,
 	temperature,
-	maxRetries = 3,
-	baseUrl
+	maxRetries = 3
 }) {
 	log(
 		'debug',
 		`Generating Anthropic object ('${objectName}') with model: ${modelId}`
 	);
 	try {
-		const client = getClient(apiKey, baseUrl);
+		const client = getClient(apiKey);
+
+		// Log basic debug info
 		log(
 			'debug',
 			`Using maxTokens: ${maxTokens}, temperature: ${temperature}, model: ${modelId}`
 		);
+
 		const result = await generateObject({
 			model: client(modelId),
-			mode: 'tool',
+			mode: 'tool', // Anthropic generally uses 'tool' mode for structured output
 			schema: schema,
 			messages: messages,
 			tool: {
@@ -193,12 +199,14 @@ export async function generateAnthropicObject({
 			temperature: temperature,
 			maxRetries: maxRetries
 		});
+
 		log(
 			'debug',
 			`Anthropic generateObject result received. Tokens: ${result.usage.completionTokens}/${result.usage.promptTokens}`
 		);
 		return result.object;
 	} catch (error) {
+		// Simple error logging
 		log(
 			'error',
 			`Anthropic generateObject ('${objectName}') failed: ${error.message}`

src/ai-providers/google.js

@@ -12,16 +12,6 @@ import { log } from '../../scripts/modules/utils.js'; // Import logging utility
 const DEFAULT_MODEL = 'gemini-2.0-pro'; // Or a suitable default
 const DEFAULT_TEMPERATURE = 0.2; // Or a suitable default
 
-function getClient(apiKey, baseUrl) {
-	if (!apiKey) {
-		throw new Error('Google API key is required.');
-	}
-	return createGoogleGenerativeAI({
-		apiKey: apiKey,
-		...(baseUrl && { baseURL: baseUrl })
-	});
-}
-
 /**
  * Generates text using a Google AI model.
  *
@@ -39,8 +29,7 @@ async function generateGoogleText({
 	modelId = DEFAULT_MODEL,
 	temperature = DEFAULT_TEMPERATURE,
 	messages,
-	maxTokens,
-	baseUrl
+	maxTokens // Note: Vercel SDK might handle this differently, needs verification
 }) {
 	if (!apiKey) {
 		throw new Error('Google API key is required.');
@@ -48,21 +37,28 @@ async function generateGoogleText({
 	log('info', `Generating text with Google model: ${modelId}`);
 
 	try {
-		const googleProvider = getClient(apiKey, baseUrl);
-		const model = googleProvider(modelId);
+		// const google = new GoogleGenerativeAI({ apiKey }); // Incorrect instantiation
+		const googleProvider = createGoogleGenerativeAI({ apiKey }); // Correct instantiation
+		// const model = google.getGenerativeModel({ model: modelId }); // Incorrect model retrieval
+		const model = googleProvider(modelId); // Correct model retrieval
+
+		// Construct payload suitable for Vercel SDK's generateText
+		// Note: The exact structure might depend on how messages are passed
 		const result = await generateText({
-			model,
-			messages,
+			model, // Pass the model instance
+			messages, // Pass the messages array directly
 			temperature,
-			maxOutputTokens: maxTokens
+			maxOutputTokens: maxTokens // Map to correct Vercel SDK param if available
 		});
-		return result.text;
+
+		// Assuming result structure provides text directly or within a property
+		return result.text; // Adjust based on actual SDK response
 	} catch (error) {
 		log(
 			'error',
 			`Error generating text with Google (${modelId}): ${error.message}`
 		);
-		throw error;
+		throw error; // Re-throw for unified service handler
 	}
 }
 
@@ -83,8 +79,7 @@ async function streamGoogleText({
 	modelId = DEFAULT_MODEL,
 	temperature = DEFAULT_TEMPERATURE,
 	messages,
-	maxTokens,
-	baseUrl
+	maxTokens
 }) {
 	if (!apiKey) {
 		throw new Error('Google API key is required.');
@@ -92,15 +87,19 @@ async function streamGoogleText({
 	log('info', `Streaming text with Google model: ${modelId}`);
 
 	try {
-		const googleProvider = getClient(apiKey, baseUrl);
-		const model = googleProvider(modelId);
+		// const google = new GoogleGenerativeAI({ apiKey }); // Incorrect instantiation
+		const googleProvider = createGoogleGenerativeAI({ apiKey }); // Correct instantiation
+		// const model = google.getGenerativeModel({ model: modelId }); // Incorrect model retrieval
+		const model = googleProvider(modelId); // Correct model retrieval
+
 		const stream = await streamText({
-			model,
+			model, // Pass the model instance
 			messages,
 			temperature,
 			maxOutputTokens: maxTokens
 		});
-		return stream;
+
+		return stream; // Return the stream directly
 	} catch (error) {
 		log(
 			'error',
@@ -131,8 +130,7 @@ async function generateGoogleObject({
 	messages,
 	schema,
 	objectName, // Note: Vercel SDK might use this differently or not at all
-	maxTokens,
-	baseUrl
+	maxTokens
 }) {
 	if (!apiKey) {
 		throw new Error('Google API key is required.');
@@ -140,16 +138,23 @@ async function generateGoogleObject({
 	log('info', `Generating object with Google model: ${modelId}`);
 
 	try {
-		const googleProvider = getClient(apiKey, baseUrl);
-		const model = googleProvider(modelId);
+		// const google = new GoogleGenerativeAI({ apiKey }); // Incorrect instantiation
+		const googleProvider = createGoogleGenerativeAI({ apiKey }); // Correct instantiation
+		// const model = google.getGenerativeModel({ model: modelId }); // Incorrect model retrieval
+		const model = googleProvider(modelId); // Correct model retrieval
+
 		const { object } = await generateObject({
-			model,
+			model, // Pass the model instance
 			schema,
 			messages,
 			temperature,
 			maxOutputTokens: maxTokens
+			// Note: 'objectName' or 'mode' might not be directly applicable here
+			// depending on how `@ai-sdk/google` handles `generateObject`.
+			// Check SDK docs if specific tool calling/JSON mode needs explicit setup.
 		});
-		return object;
+
+		return object; // Return the parsed object
 	} catch (error) {
 		log(
 			'error',

src/ai-providers/openai.js

@@ -1,26 +1,16 @@
-import { createOpenAI } from '@ai-sdk/openai'; // Using openai provider from Vercel AI SDK
-import { generateObject } from 'ai'; // Import necessary functions from 'ai'
+import { createOpenAI, openai } from '@ai-sdk/openai'; // Using openai provider from Vercel AI SDK
+import { generateText, streamText, generateObject } from 'ai'; // Import necessary functions from 'ai'
 import { log } from '../../scripts/modules/utils.js';
 
-function getClient(apiKey, baseUrl) {
-	if (!apiKey) {
-		throw new Error('OpenAI API key is required.');
-	}
-	return createOpenAI({
-		apiKey: apiKey,
-		...(baseUrl && { baseURL: baseUrl })
-	});
-}
-
 /**
  * Generates text using OpenAI models via Vercel AI SDK.
  *
- * @param {object} params - Parameters including apiKey, modelId, messages, maxTokens, temperature, baseUrl.
+ * @param {object} params - Parameters including apiKey, modelId, messages, maxTokens, temperature.
  * @returns {Promise<string>} The generated text content.
  * @throws {Error} If API call fails.
  */
 export async function generateOpenAIText(params) {
-	const { apiKey, modelId, messages, maxTokens, temperature, baseUrl } = params;
+	const { apiKey, modelId, messages, maxTokens, temperature } = params;
 	log('debug', `generateOpenAIText called with model: ${modelId}`);
 
 	if (!apiKey) {
@@ -33,15 +23,18 @@ export async function generateOpenAIText(params) {
 		throw new Error('Invalid or empty messages array provided for OpenAI.');
 	}
 
-	const openaiClient = getClient(apiKey, baseUrl);
+	const openaiClient = createOpenAI({ apiKey });
 
 	try {
 		const result = await openaiClient.chat(messages, {
+			// Updated: Use openaiClient.chat directly
 			model: modelId,
 			max_tokens: maxTokens,
 			temperature
 		});
 
+		// Adjust based on actual Vercel SDK response structure for openaiClient.chat
+		// This might need refinement based on testing the SDK's output.
 		const textContent = result?.choices?.[0]?.message?.content?.trim();
 
 		if (!textContent) {
@@ -72,12 +65,12 @@ export async function generateOpenAIText(params) {
 /**
  * Streams text using OpenAI models via Vercel AI SDK.
  *
- * @param {object} params - Parameters including apiKey, modelId, messages, maxTokens, temperature, baseUrl.
+ * @param {object} params - Parameters including apiKey, modelId, messages, maxTokens, temperature.
  * @returns {Promise<ReadableStream>} A readable stream of text deltas.
  * @throws {Error} If API call fails.
  */
 export async function streamOpenAIText(params) {
-	const { apiKey, modelId, messages, maxTokens, temperature, baseUrl } = params;
+	const { apiKey, modelId, messages, maxTokens, temperature } = params;
 	log('debug', `streamOpenAIText called with model: ${modelId}`);
 
 	if (!apiKey) {
@@ -92,10 +85,12 @@ export async function streamOpenAIText(params) {
 		);
 	}
 
-	const openaiClient = getClient(apiKey, baseUrl);
+	const openaiClient = createOpenAI({ apiKey });
 
 	try {
+		// Use the streamText function from Vercel AI SDK core
 		const stream = await openaiClient.chat.stream(messages, {
+			// Updated: Use openaiClient.chat.stream
 			model: modelId,
 			max_tokens: maxTokens,
 			temperature
@@ -105,6 +100,7 @@ export async function streamOpenAIText(params) {
 			'debug',
 			`OpenAI streamText initiated successfully for model: ${modelId}`
 		);
+		// The Vercel SDK's streamText should directly return the stream object
 		return stream;
 	} catch (error) {
 		log(
@@ -121,7 +117,7 @@ export async function streamOpenAIText(params) {
 /**
  * Generates structured objects using OpenAI models via Vercel AI SDK.
  *
- * @param {object} params - Parameters including apiKey, modelId, messages, schema, objectName, maxTokens, temperature, baseUrl.
+ * @param {object} params - Parameters including apiKey, modelId, messages, schema, objectName, maxTokens, temperature.
  * @returns {Promise<object>} The generated object matching the schema.
  * @throws {Error} If API call fails or object generation fails.
  */
@@ -133,8 +129,7 @@ export async function generateOpenAIObject(params) {
 		schema,
 		objectName,
 		maxTokens,
-		temperature,
-		baseUrl
+		temperature
 	} = params;
 	log(
 		'debug',
@@ -150,9 +145,10 @@ export async function generateOpenAIObject(params) {
 	if (!objectName)
 		throw new Error('Object name is required for OpenAI object generation.');
 
-	const openaiClient = getClient(apiKey, baseUrl);
+	const openaiClient = createOpenAI({ apiKey });
 
 	try {
+		// Use the imported generateObject function from 'ai' package
 		const result = await generateObject({
 			model: openaiClient(modelId),
 			schema: schema,

src/ai-providers/openrouter.js

@@ -2,14 +2,6 @@ import { createOpenRouter } from '@openrouter/ai-sdk-provider';
 import { generateText, streamText, generateObject } from 'ai';
 import { log } from '../../scripts/modules/utils.js'; // Assuming utils.js is in scripts/modules
 
-function getClient(apiKey, baseUrl) {
-	if (!apiKey) throw new Error('OpenRouter API key is required.');
-	return createOpenRouter({
-		apiKey,
-		...(baseUrl && { baseURL: baseUrl })
-	});
-}
-
 /**
  * Generates text using an OpenRouter chat model.
  *
@@ -19,7 +11,6 @@ function getClient(apiKey, baseUrl) {
  * @param {Array<object>} params.messages - Array of message objects (system, user, assistant).
  * @param {number} [params.maxTokens] - Maximum tokens to generate.
  * @param {number} [params.temperature] - Sampling temperature.
- * @param {string} [params.baseUrl] - Base URL for the OpenRouter API.
  * @returns {Promise<string>} The generated text content.
  * @throws {Error} If the API call fails.
  */
@@ -29,7 +20,6 @@ async function generateOpenRouterText({
 	messages,
 	maxTokens,
 	temperature,
-	baseUrl,
 	...rest // Capture any other Vercel AI SDK compatible parameters
 }) {
 	if (!apiKey) throw new Error('OpenRouter API key is required.');
@@ -38,7 +28,7 @@ async function generateOpenRouterText({
 		throw new Error('Messages array cannot be empty.');
 
 	try {
-		const openrouter = getClient(apiKey, baseUrl);
+		const openrouter = createOpenRouter({ apiKey });
 		const model = openrouter.chat(modelId); // Assuming chat model
 
 		const { text } = await generateText({
@@ -68,7 +58,6 @@ async function generateOpenRouterText({
  * @param {Array<object>} params.messages - Array of message objects (system, user, assistant).
  * @param {number} [params.maxTokens] - Maximum tokens to generate.
  * @param {number} [params.temperature] - Sampling temperature.
- * @param {string} [params.baseUrl] - Base URL for the OpenRouter API.
  * @returns {Promise<ReadableStream<string>>} A readable stream of text deltas.
  * @throws {Error} If the API call fails.
  */
@@ -78,7 +67,6 @@ async function streamOpenRouterText({
 	messages,
 	maxTokens,
 	temperature,
-	baseUrl,
 	...rest
 }) {
 	if (!apiKey) throw new Error('OpenRouter API key is required.');
@@ -87,7 +75,7 @@ async function streamOpenRouterText({
 		throw new Error('Messages array cannot be empty.');
 
 	try {
-		const openrouter = getClient(apiKey, baseUrl);
+		const openrouter = createOpenRouter({ apiKey });
 		const model = openrouter.chat(modelId);
 
 		// Directly return the stream from the Vercel AI SDK function
@@ -120,7 +108,6 @@ async function streamOpenRouterText({
  * @param {number} [params.maxRetries=3] - Max retries for object generation.
  * @param {number} [params.maxTokens] - Maximum tokens.
  * @param {number} [params.temperature] - Temperature.
- * @param {string} [params.baseUrl] - Base URL for the OpenRouter API.
  * @returns {Promise<object>} The generated object matching the schema.
  * @throws {Error} If the API call fails or validation fails.
  */
@@ -133,7 +120,6 @@ async function generateOpenRouterObject({
 	maxRetries = 3,
 	maxTokens,
 	temperature,
-	baseUrl,
 	...rest
 }) {
 	if (!apiKey) throw new Error('OpenRouter API key is required.');
@@ -143,7 +129,7 @@ async function generateOpenRouterObject({
 		throw new Error('Messages array cannot be empty.');
 
 	try {
-		const openrouter = getClient(apiKey, baseUrl);
+		const openrouter = createOpenRouter({ apiKey });
 		const model = openrouter.chat(modelId);
 
 		const { object } = await generateObject({

src/ai-providers/perplexity.js

@@ -10,13 +10,13 @@ import { log } from '../../scripts/modules/utils.js';
 
 // --- Client Instantiation ---
 // Similar to Anthropic, this expects the resolved API key to be passed in.
-function getClient(apiKey, baseUrl) {
+function getClient(apiKey) {
 	if (!apiKey) {
 		throw new Error('Perplexity API key is required.');
 	}
+	// Create and return a new instance directly
 	return createPerplexity({
-		apiKey: apiKey,
-		...(baseUrl && { baseURL: baseUrl })
+		apiKey: apiKey
 	});
 }
 
@@ -31,7 +31,6 @@ function getClient(apiKey, baseUrl) {
  * @param {Array<object>} params.messages - The messages array.
  * @param {number} [params.maxTokens] - Maximum tokens for the response.
  * @param {number} [params.temperature] - Temperature for generation.
- * @param {string} [params.baseUrl] - Base URL for the Perplexity API.
  * @returns {Promise<string>} The generated text content.
  * @throws {Error} If the API call fails.
  */
@@ -40,12 +39,11 @@ export async function generatePerplexityText({
 	modelId,
 	messages,
 	maxTokens,
-	temperature,
-	baseUrl
+	temperature
 }) {
 	log('debug', `Generating Perplexity text with model: ${modelId}`);
 	try {
-		const client = getClient(apiKey, baseUrl);
+		const client = getClient(apiKey);
 		const result = await generateText({
 			model: client(modelId),
 			messages: messages,
@@ -72,7 +70,6 @@ export async function generatePerplexityText({
  * @param {Array<object>} params.messages - The messages array.
  * @param {number} [params.maxTokens] - Maximum tokens for the response.
  * @param {number} [params.temperature] - Temperature for generation.
- * @param {string} [params.baseUrl] - Base URL for the Perplexity API.
  * @returns {Promise<object>} The full stream result object from the Vercel AI SDK.
  * @throws {Error} If the API call fails to initiate the stream.
  */
@@ -81,12 +78,11 @@ export async function streamPerplexityText({
 	modelId,
 	messages,
 	maxTokens,
-	temperature,
-	baseUrl
+	temperature
 }) {
 	log('debug', `Streaming Perplexity text with model: ${modelId}`);
 	try {
-		const client = getClient(apiKey, baseUrl);
+		const client = getClient(apiKey);
 		const stream = await streamText({
 			model: client(modelId),
 			messages: messages,
@@ -116,7 +112,6 @@ export async function streamPerplexityText({
  * @param {number} [params.maxTokens] - Maximum tokens for the response.
  * @param {number} [params.temperature] - Temperature for generation.
  * @param {number} [params.maxRetries] - Max retries for validation/generation.
- * @param {string} [params.baseUrl] - Base URL for the Perplexity API.
  * @returns {Promise<object>} The generated object matching the schema.
  * @throws {Error} If generation or validation fails or is unsupported.
  */
@@ -128,8 +123,7 @@ export async function generatePerplexityObject({
 	objectName = 'generated_object',
 	maxTokens,
 	temperature,
-	maxRetries = 1,
-	baseUrl
+	maxRetries = 1 // Lower retries as support might be limited
 }) {
 	log(
 		'debug',
@@ -140,7 +134,8 @@ export async function generatePerplexityObject({
 		'generateObject support for Perplexity might be limited or experimental.'
 	);
 	try {
-		const client = getClient(apiKey, baseUrl);
+		const client = getClient(apiKey);
+		// Attempt using generateObject, but be prepared for potential issues
 		const result = await generateObject({
 			model: client(modelId),
 			schema: schema,

src/ai-providers/xai.js

@@ -9,13 +9,14 @@ import { generateText, streamText, generateObject } from 'ai'; // Only import wh
 import { log } from '../../scripts/modules/utils.js'; // Assuming utils is accessible
 
 // --- Client Instantiation ---
-function getClient(apiKey, baseUrl) {
+function getClient(apiKey) {
 	if (!apiKey) {
 		throw new Error('xAI API key is required.');
 	}
+	// Create and return a new instance directly
 	return createXai({
-		apiKey: apiKey,
-		...(baseUrl && { baseURL: baseUrl })
+		apiKey: apiKey
+		// Add baseURL or other options if needed later
 	});
 }
 
@@ -30,7 +31,6 @@ function getClient(apiKey, baseUrl) {
  * @param {Array<object>} params.messages - The messages array (e.g., [{ role: 'user', content: '...' }]).
  * @param {number} [params.maxTokens] - Maximum tokens for the response.
  * @param {number} [params.temperature] - Temperature for generation.
- * @param {string} [params.baseUrl] - The base URL for the xAI API.
  * @returns {Promise<string>} The generated text content.
  * @throws {Error} If the API call fails.
  */
@@ -39,14 +39,13 @@ export async function generateXaiText({
 	modelId,
 	messages,
 	maxTokens,
-	temperature,
-	baseUrl
+	temperature
 }) {
 	log('debug', `Generating xAI text with model: ${modelId}`);
 	try {
-		const client = getClient(apiKey, baseUrl);
+		const client = getClient(apiKey);
 		const result = await generateText({
-			model: client(modelId),
+			model: client(modelId), // Correct model invocation
 			messages: messages,
 			maxTokens: maxTokens,
 			temperature: temperature
@@ -71,7 +70,6 @@ export async function generateXaiText({
  * @param {Array<object>} params.messages - The messages array.
  * @param {number} [params.maxTokens] - Maximum tokens for the response.
  * @param {number} [params.temperature] - Temperature for generation.
- * @param {string} [params.baseUrl] - The base URL for the xAI API.
  * @returns {Promise<object>} The full stream result object from the Vercel AI SDK.
  * @throws {Error} If the API call fails to initiate the stream.
  */
@@ -80,19 +78,18 @@ export async function streamXaiText({
 	modelId,
 	messages,
 	maxTokens,
-	temperature,
-	baseUrl
+	temperature
 }) {
 	log('debug', `Streaming xAI text with model: ${modelId}`);
 	try {
-		const client = getClient(apiKey, baseUrl);
+		const client = getClient(apiKey);
 		const stream = await streamText({
-			model: client(modelId),
+			model: client(modelId), // Correct model invocation
 			messages: messages,
 			maxTokens: maxTokens,
 			temperature: temperature
 		});
-		return stream;
+		return stream; // Return the full stream object
 	} catch (error) {
 		log('error', `xAI streamText failed: ${error.message}`, error.stack);
 		throw error;
@@ -113,7 +110,6 @@ export async function streamXaiText({
  * @param {number} [params.maxTokens] - Maximum tokens for the response.
  * @param {number} [params.temperature] - Temperature for generation.
  * @param {number} [params.maxRetries] - Max retries for validation/generation.
- * @param {string} [params.baseUrl] - The base URL for the xAI API.
  * @returns {Promise<object>} The generated object matching the schema.
  * @throws {Error} If generation or validation fails.
  */
@@ -125,17 +121,16 @@ export async function generateXaiObject({
 	objectName = 'generated_xai_object',
 	maxTokens,
 	temperature,
-	maxRetries = 3,
-	baseUrl
+	maxRetries = 3
 }) {
 	log(
-		'warn',
+		'warn', // Log warning as this is likely unsupported
 		`Attempting to generate xAI object ('${objectName}') with model: ${modelId}. This may not be supported by the provider.`
 	);
 	try {
-		const client = getClient(apiKey, baseUrl);
+		const client = getClient(apiKey);
 		const result = await generateObject({
-			model: client(modelId),
+			model: client(modelId), // Correct model invocation
 			// Note: mode might need adjustment if xAI ever supports object generation differently
 			mode: 'tool',
 			schema: schema,
@@ -158,6 +153,6 @@ export async function generateXaiObject({
 			'error',
 			`xAI generateObject ('${objectName}') failed: ${error.message}. (Likely unsupported by provider)`
 		);
-		throw error;
+		throw error; // Re-throw the error
 	}
 }

src/constants/task-status.js

@@ -1,32 +0,0 @@
-/**
- * @typedef {'pending' | 'done' | 'in-progress' | 'review' | 'deferred' | 'cancelled'} TaskStatus
- */
-
-/**
- * Task status options list
- * @type {TaskStatus[]}
- * @description Defines possible task statuses:
- * - pending: Task waiting to start
- * - done: Task completed
- * - in-progress: Task in progress
- * - review: Task completed and waiting for review
- * - deferred: Task postponed or paused
- * - cancelled: Task cancelled and will not be completed
- */
-export const TASK_STATUS_OPTIONS = [
-	'pending',
-	'done',
-	'in-progress',
-	'review',
-	'deferred',
-	'cancelled'
-];
-
-/**
- * Check if a given status is a valid task status
- * @param {string} status - The status to check
- * @returns {boolean} True if the status is valid, false otherwise
- */
-export function isValidTaskStatus(status) {
-	return TASK_STATUS_OPTIONS.includes(status);
-}

src/utils/getVersion.js

@@ -1,35 +0,0 @@
-import fs from 'fs';
-import path from 'path';
-import { fileURLToPath } from 'url';
-import { log } from '../../scripts/modules/utils.js';
-
-/**
- * Reads the version from the nearest package.json relative to this file.
- * Returns 'unknown' if not found or on error.
- * @returns {string} The version string or 'unknown'.
- */
-export function getTaskMasterVersion() {
-	let version = 'unknown';
-	try {
-		// Get the directory of the current module (getPackageVersion.js)
-		const currentModuleFilename = fileURLToPath(import.meta.url);
-		const currentModuleDirname = path.dirname(currentModuleFilename);
-		// Construct the path to package.json relative to this file (../../package.json)
-		const packageJsonPath = path.join(
-			currentModuleDirname,
-			'..',
-			'..',
-			'package.json'
-		);
-
-		if (fs.existsSync(packageJsonPath)) {
-			const packageJsonContent = fs.readFileSync(packageJsonPath, 'utf8');
-			const packageJson = JSON.parse(packageJsonContent);
-			version = packageJson.version;
-		}
-	} catch (error) {
-		// Silently fall back to default version
-		log('warn', 'Could not read own package.json for version info.', error);
-	}
-	return version;
-}

tests/setup.js

@@ -9,7 +9,7 @@ process.env.MODEL = 'sonar-pro';
 process.env.MAX_TOKENS = '64000';
 process.env.TEMPERATURE = '0.2';
 process.env.DEBUG = 'false';
-process.env.TASKMASTER_LOG_LEVEL = 'error'; // Set to error to reduce noise in tests
+process.env.LOG_LEVEL = 'error'; // Set to error to reduce noise in tests
 process.env.DEFAULT_SUBTASKS = '5';
 process.env.DEFAULT_PRIORITY = 'medium';
 process.env.PROJECT_NAME = 'Test Project';

tests/unit/ai-services-unified.test.js

@@ -8,7 +8,6 @@ const mockGetResearchModelId = jest.fn();
 const mockGetFallbackProvider = jest.fn();
 const mockGetFallbackModelId = jest.fn();
 const mockGetParametersForRole = jest.fn();
-const mockGetBaseUrlForRole = jest.fn();
 
 jest.unstable_mockModule('../../scripts/modules/config-manager.js', () => ({
 	getMainProvider: mockGetMainProvider,
@@ -17,8 +16,7 @@ jest.unstable_mockModule('../../scripts/modules/config-manager.js', () => ({
 	getResearchModelId: mockGetResearchModelId,
 	getFallbackProvider: mockGetFallbackProvider,
 	getFallbackModelId: mockGetFallbackModelId,
-	getParametersForRole: mockGetParametersForRole,
-	getBaseUrlForRole: mockGetBaseUrlForRole
+	getParametersForRole: mockGetParametersForRole
 }));
 
 // Mock AI Provider Modules

tests/unit/task-manager.test.js

@@ -199,12 +199,6 @@ const testSetTaskStatus = (tasksData, taskIdInput, newStatus) => {
 
 // Simplified version of updateSingleTaskStatus for testing
 const testUpdateSingleTaskStatus = (tasksData, taskIdInput, newStatus) => {
-	if (!isValidTaskStatus(newStatus)) {
-		throw new Error(
-			`Error: Invalid status value: ${newStatus}. Use one of: ${TASK_STATUS_OPTIONS.join(', ')}`
-		);
-	}
-
 	// Check if it's a subtask (e.g., "1.2")
 	if (taskIdInput.includes('.')) {
 		const [parentId, subtaskId] = taskIdInput
@@ -335,10 +329,6 @@ const testAddTask = (
 import * as taskManager from '../../scripts/modules/task-manager.js';
 import { sampleClaudeResponse } from '../fixtures/sample-claude-response.js';
 import { sampleTasks, emptySampleTasks } from '../fixtures/sample-tasks.js';
-import {
-	isValidTaskStatus,
-	TASK_STATUS_OPTIONS
-} from '../../src/constants/task-status.js';
 
 // Destructure the required functions for convenience
 const { findNextTask, generateTaskFiles, clearSubtasks, updateTaskById } =
@@ -1175,16 +1165,6 @@ describe('Task Manager Module', () => {
 			expect(testTasksData.tasks[1].status).toBe('done');
 		});
 
-		test('should throw error for invalid status', async () => {
-			// Arrange
-			const testTasksData = JSON.parse(JSON.stringify(sampleTasks));
-
-			// Assert
-			expect(() =>
-				testUpdateSingleTaskStatus(testTasksData, '2', 'Done')
-			).toThrow(/Error: Invalid status value: Done./);
-		});
-
 		test('should update subtask status', async () => {
 			// Arrange
 			const testTasksData = JSON.parse(JSON.stringify(sampleTasks));