chore: fix CI

.changeset/spicy-teams-travel.md

@@ -0,0 +1,11 @@
+---
+"task-master-ai": patch
+---
+
+Improve provider validation system with clean constants structure
+
+- **Fixed "Invalid provider hint" errors**: Resolved validation failures for Azure, Vertex, and Bedrock providers
+- **Improved search UX**: Integrated search for better model discovery with real-time filtering
+- **Better organization**: Moved custom provider options to bottom of model selection with clear section separators
+
+This change ensures all custom providers (Azure, Vertex, Bedrock, OpenRouter, Ollama) work correctly in `task-master models --setup`

.taskmaster/config.json

@@ -1,14 +1,14 @@
 {
 	"models": {
 		"main": {
-			"provider": "anthropic",
-			"modelId": "claude-sonnet-4-20250514",
+			"provider": "vertex",
+			"modelId": "gemini-1.5-pro-002",
 			"maxTokens": 50000,
 			"temperature": 0.2
 		},
 		"research": {
 			"provider": "perplexity",
-			"modelId": "sonar-pro",
+			"modelId": "sonar",
 			"maxTokens": 8700,
 			"temperature": 0.1
 		},
@@ -20,7 +20,6 @@
 		}
 	},
 	"global": {
-		"userId": "1234567890",
 		"logLevel": "info",
 		"debug": false,
 		"defaultSubtasks": 5,
@@ -28,6 +27,7 @@
 		"projectName": "Taskmaster",
 		"ollamaBaseURL": "http://localhost:11434/api",
 		"bedrockBaseURL": "https://bedrock.us-east-1.amazonaws.com",
+		"userId": "1234567890",
 		"azureBaseURL": "https://your-endpoint.azure.com/",
 		"defaultTag": "master"
 	}

package-lock.json

@@ -20,6 +20,7 @@
 				"@ai-sdk/xai": "^1.2.15",
 				"@anthropic-ai/sdk": "^0.39.0",
 				"@aws-sdk/credential-providers": "^3.817.0",
+				"@inquirer/search": "^3.0.15",
 				"@openrouter/ai-sdk-provider": "^0.4.5",
 				"ai": "^4.3.10",
 				"boxen": "^8.0.1",
@@ -2696,13 +2697,13 @@
 			}
 		},
 		"node_modules/@inquirer/core": {
-			"version": "10.1.9",
-			"resolved": "https://registry.npmjs.org/@inquirer/core/-/core-10.1.9.tgz",
-			"integrity": "sha512-sXhVB8n20NYkUBfDYgizGHlpRVaCRjtuzNZA6xpALIUbkgfd2Hjz+DfEN6+h1BRnuxw0/P4jCIMjMsEOAMwAJw==",
+			"version": "10.1.13",
+			"resolved": "https://registry.npmjs.org/@inquirer/core/-/core-10.1.13.tgz",
+			"integrity": "sha512-1viSxebkYN2nJULlzCxES6G9/stgHSepZ9LqqfdIGPHj5OHhiBUXVS0a6R0bEC2A+VL4D9w6QB66ebCr6HGllA==",
 			"license": "MIT",
 			"dependencies": {
-				"@inquirer/figures": "^1.0.11",
-				"@inquirer/type": "^3.0.5",
+				"@inquirer/figures": "^1.0.12",
+				"@inquirer/type": "^3.0.7",
 				"ansi-escapes": "^4.3.2",
 				"cli-width": "^4.1.0",
 				"mute-stream": "^2.0.0",
@@ -2822,9 +2823,9 @@
 			}
 		},
 		"node_modules/@inquirer/figures": {
-			"version": "1.0.11",
-			"resolved": "https://registry.npmjs.org/@inquirer/figures/-/figures-1.0.11.tgz",
-			"integrity": "sha512-eOg92lvrn/aRUqbxRyvpEWnrvRuTYRifixHkYVpJiygTgVSBIHDqLh0SrMQXkafvULg3ck11V7xvR+zcgvpHFw==",
+			"version": "1.0.12",
+			"resolved": "https://registry.npmjs.org/@inquirer/figures/-/figures-1.0.12.tgz",
+			"integrity": "sha512-MJttijd8rMFcKJC8NYmprWr6hD3r9Gd9qUC0XwPNwoEPWSMVJwA2MlXxF+nhZZNMY+HXsWa+o7KY2emWYIn0jQ==",
 			"license": "MIT",
 			"engines": {
 				"node": ">=18"
@@ -2946,14 +2947,14 @@
 			}
 		},
 		"node_modules/@inquirer/search": {
-			"version": "3.0.11",
-			"resolved": "https://registry.npmjs.org/@inquirer/search/-/search-3.0.11.tgz",
-			"integrity": "sha512-9CWQT0ikYcg6Ls3TOa7jljsD7PgjcsYEM0bYE+Gkz+uoW9u8eaJCRHJKkucpRE5+xKtaaDbrND+nPDoxzjYyew==",
+			"version": "3.0.15",
+			"resolved": "https://registry.npmjs.org/@inquirer/search/-/search-3.0.15.tgz",
+			"integrity": "sha512-YBMwPxYBrADqyvP4nNItpwkBnGGglAvCLVW8u4pRmmvOsHUtCAUIMbUrLX5B3tFL1/WsLGdQ2HNzkqswMs5Uaw==",
 			"license": "MIT",
 			"dependencies": {
-				"@inquirer/core": "^10.1.9",
-				"@inquirer/figures": "^1.0.11",
-				"@inquirer/type": "^3.0.5",
+				"@inquirer/core": "^10.1.13",
+				"@inquirer/figures": "^1.0.12",
+				"@inquirer/type": "^3.0.7",
 				"yoctocolors-cjs": "^2.1.2"
 			},
 			"engines": {
@@ -2993,9 +2994,9 @@
 			}
 		},
 		"node_modules/@inquirer/type": {
-			"version": "3.0.5",
-			"resolved": "https://registry.npmjs.org/@inquirer/type/-/type-3.0.5.tgz",
-			"integrity": "sha512-ZJpeIYYueOz/i/ONzrfof8g89kNdO2hjGuvULROo3O8rlB2CRtSseE5KeirnyE4t/thAn/EwvS/vuQeJCn+NZg==",
+			"version": "3.0.7",
+			"resolved": "https://registry.npmjs.org/@inquirer/type/-/type-3.0.7.tgz",
+			"integrity": "sha512-PfunHQcjwnju84L+ycmcMKB/pTPIngjUJvfnRhKY6FKPuYXlM4aQCb/nIdTFR6BEhMjFvngzvng/vBAJMZpLSA==",
 			"license": "MIT",
 			"engines": {
 				"node": ">=18"

package.json

@@ -50,6 +50,7 @@
 		"@ai-sdk/xai": "^1.2.15",
 		"@anthropic-ai/sdk": "^0.39.0",
 		"@aws-sdk/credential-providers": "^3.817.0",
+		"@inquirer/search": "^3.0.15",
 		"@openrouter/ai-sdk-provider": "^0.4.5",
 		"ai": "^4.3.10",
 		"boxen": "^8.0.1",

scripts/modules/commands.js

@@ -11,6 +11,7 @@ import fs from 'fs';
 import https from 'https';
 import http from 'http';
 import inquirer from 'inquirer';
+import search from '@inquirer/search';
 import ora from 'ora'; // Import ora
 
 import {
@@ -71,6 +72,8 @@ import {
 	getBaseUrlForRole
 } from './config-manager.js';
 
+import { CUSTOM_PROVIDERS } from '../../src/constants/providers.js';
+
 import {
 	COMPLEXITY_REPORT_FILE,
 	PRD_FILE,
@@ -306,6 +309,16 @@ async function runInteractiveSetup(projectRoot) {
 			value: '__CUSTOM_BEDROCK__'
 		};
 
+		const customAzureOption = {
+			name: '* Custom Azure OpenAI model', // Add Azure custom option
+			value: '__CUSTOM_AZURE__'
+		};
+
+		const customVertexOption = {
+			name: '* Custom Vertex AI model', // Add Vertex custom option
+			value: '__CUSTOM_VERTEX__'
+		};
+
 		let choices = [];
 		let defaultIndex = 0; // Default to 'Cancel'
 
@@ -344,43 +357,50 @@ async function runInteractiveSetup(projectRoot) {
 			);
 		}
 
-		// Construct final choices list based on whether 'None' is allowed
-		const commonPrefix = [];
+		// Construct final choices list with custom options moved to bottom
+		const systemOptions = [];
 		if (noChangeOption) {
-			commonPrefix.push(noChangeOption);
+			systemOptions.push(noChangeOption);
 		}
-		commonPrefix.push(cancelOption);
-		commonPrefix.push(customOpenRouterOption);
-		commonPrefix.push(customOllamaOption);
-		commonPrefix.push(customBedrockOption);
+		systemOptions.push(cancelOption);
 
-		const prefixLength = commonPrefix.length; // Initial prefix length
+		const customOptions = [
+			customOpenRouterOption,
+			customOllamaOption,
+			customBedrockOption,
+			customAzureOption,
+			customVertexOption
+		];
+
+		const systemLength = systemOptions.length;
 
 		if (allowNone) {
 			choices = [
-				...commonPrefix,
-				new inquirer.Separator(),
-				{ name: '⚪ None (disable)', value: null }, // Symbol updated
-				new inquirer.Separator(),
-				...roleChoices
+				...systemOptions,
+				new inquirer.Separator('── Standard Models ──'),
+				{ name: '⚪ None (disable)', value: null },
+				...roleChoices,
+				new inquirer.Separator('── Custom Providers ──'),
+				...customOptions
 			];
-			// Adjust default index: Prefix + Sep1 + None + Sep2 (+3)
-			const noneOptionIndex = prefixLength + 1;
+			// Adjust default index: System + Sep1 + None (+2)
+			const noneOptionIndex = systemLength + 1;
 			defaultIndex =
 				currentChoiceIndex !== -1
-					? currentChoiceIndex + prefixLength + 3 // Offset by prefix and separators
+					? currentChoiceIndex + systemLength + 2 // Offset by system options and separators
 					: noneOptionIndex; // Default to 'None' if no current model matched
 		} else {
 			choices = [
-				...commonPrefix,
-				new inquirer.Separator(),
+				...systemOptions,
+				new inquirer.Separator('── Standard Models ──'),
 				...roleChoices,
-				new inquirer.Separator()
+				new inquirer.Separator('── Custom Providers ──'),
+				...customOptions
 			];
-			// Adjust default index: Prefix + Sep (+1)
+			// Adjust default index: System + Sep (+1)
 			defaultIndex =
 				currentChoiceIndex !== -1
-					? currentChoiceIndex + prefixLength + 1 // Offset by prefix and separator
+					? currentChoiceIndex + systemLength + 1 // Offset by system options and separator
 					: noChangeOption
 						? 1
 						: 0; // Default to 'No Change' if present, else 'Cancel'
@@ -403,32 +423,63 @@ async function runInteractiveSetup(projectRoot) {
 	const researchPromptData = getPromptData('research');
 	const fallbackPromptData = getPromptData('fallback', true); // Allow 'None' for fallback
 
-	const answers = await inquirer.prompt([
-		{
-			type: 'list',
-			name: 'mainModel',
+	// Display helpful intro message
+	console.log(chalk.cyan('\n🎯 Interactive Model Setup'));
+	console.log(chalk.gray('━'.repeat(50)));
+	console.log(chalk.yellow('💡 Navigation tips:'));
+	console.log(chalk.gray('   • Type to search and filter options'));
+	console.log(chalk.gray('   • Use ↑↓ arrow keys to navigate results'));
+	console.log(
+		chalk.gray(
+			'   • Standard models are listed first, custom providers at bottom'
+		)
+	);
+	console.log(chalk.gray('   • Press Enter to select\n'));
+
+	// Helper function to create search source for models
+	const createSearchSource = (choices, defaultValue) => {
+		return (searchTerm = '') => {
+			const filteredChoices = choices.filter((choice) => {
+				if (choice.type === 'separator') return true; // Always show separators
+				const searchText = choice.name || '';
+				return searchText.toLowerCase().includes(searchTerm.toLowerCase());
+			});
+			return Promise.resolve(filteredChoices);
+		};
+	};
+
+	const answers = {};
+
+	// Main model selection
+	answers.mainModel = await search({
 		message: 'Select the main model for generation/updates:',
-			choices: mainPromptData.choices,
-			default: mainPromptData.default
-		},
-		{
-			type: 'list',
-			name: 'researchModel',
+		source: createSearchSource(mainPromptData.choices, mainPromptData.default),
+		pageSize: 15
+	});
+
+	if (answers.mainModel !== '__CANCEL__') {
+		// Research model selection
+		answers.researchModel = await search({
 			message: 'Select the research model:',
-			choices: researchPromptData.choices,
-			default: researchPromptData.default,
-			when: (ans) => ans.mainModel !== '__CANCEL__'
-		},
-		{
-			type: 'list',
-			name: 'fallbackModel',
+			source: createSearchSource(
+				researchPromptData.choices,
+				researchPromptData.default
+			),
+			pageSize: 15
+		});
+
+		if (answers.researchModel !== '__CANCEL__') {
+			// Fallback model selection
+			answers.fallbackModel = await search({
 				message: 'Select the fallback model (optional):',
-			choices: fallbackPromptData.choices,
-			default: fallbackPromptData.default,
-			when: (ans) =>
-				ans.mainModel !== '__CANCEL__' && ans.researchModel !== '__CANCEL__'
+				source: createSearchSource(
+					fallbackPromptData.choices,
+					fallbackPromptData.default
+				),
+				pageSize: 15
+			});
+		}
 	}
-	]);
 
 	let setupSuccess = true;
 	let setupConfigModified = false;
@@ -468,7 +519,7 @@ async function runInteractiveSetup(projectRoot) {
 				return true; // Continue setup, but don't set this role
 			}
 			modelIdToSet = customId;
-			providerHint = 'openrouter';
+			providerHint = CUSTOM_PROVIDERS.OPENROUTER;
 			// Validate against live OpenRouter list
 			const openRouterModels = await fetchOpenRouterModelsCLI();
 			if (
@@ -497,7 +548,7 @@ async function runInteractiveSetup(projectRoot) {
 				return true; // Continue setup, but don't set this role
 			}
 			modelIdToSet = customId;
-			providerHint = 'ollama';
+			providerHint = CUSTOM_PROVIDERS.OLLAMA;
 			// Get the Ollama base URL from config for this role
 			const ollamaBaseURL = getBaseUrlForRole(role, projectRoot);
 			// Validate against live Ollama list
@@ -538,7 +589,7 @@ async function runInteractiveSetup(projectRoot) {
 				return true; // Continue setup, but don't set this role
 			}
 			modelIdToSet = customId;
-			providerHint = 'bedrock';
+			providerHint = CUSTOM_PROVIDERS.BEDROCK;
 
 			// Check if AWS environment variables exist
 			if (
@@ -559,6 +610,76 @@ async function runInteractiveSetup(projectRoot) {
 					`Custom Bedrock model "${modelIdToSet}" will be used. No validation performed.`
 				)
 			);
+		} else if (selectedValue === '__CUSTOM_AZURE__') {
+			isCustomSelection = true;
+			const { customId } = await inquirer.prompt([
+				{
+					type: 'input',
+					name: 'customId',
+					message: `Enter the custom Azure OpenAI Model ID for the ${role} role (e.g., gpt-4o):`
+				}
+			]);
+			if (!customId) {
+				console.log(chalk.yellow('No custom ID entered. Skipping role.'));
+				return true; // Continue setup, but don't set this role
+			}
+			modelIdToSet = customId;
+			providerHint = CUSTOM_PROVIDERS.AZURE;
+
+			// Check if Azure environment variables exist
+			if (
+				!process.env.AZURE_OPENAI_API_KEY ||
+				!process.env.AZURE_OPENAI_ENDPOINT
+			) {
+				console.error(
+					chalk.red(
+						'Error: AZURE_OPENAI_API_KEY and/or AZURE_OPENAI_ENDPOINT environment variables are missing. Please set them before using custom Azure models.'
+					)
+				);
+				setupSuccess = false;
+				return true; // Continue setup, but mark as failed
+			}
+
+			console.log(
+				chalk.blue(
+					`Custom Azure OpenAI model "${modelIdToSet}" will be used. No validation performed.`
+				)
+			);
+		} else if (selectedValue === '__CUSTOM_VERTEX__') {
+			isCustomSelection = true;
+			const { customId } = await inquirer.prompt([
+				{
+					type: 'input',
+					name: 'customId',
+					message: `Enter the custom Vertex AI Model ID for the ${role} role (e.g., gemini-1.5-pro-002):`
+				}
+			]);
+			if (!customId) {
+				console.log(chalk.yellow('No custom ID entered. Skipping role.'));
+				return true; // Continue setup, but don't set this role
+			}
+			modelIdToSet = customId;
+			providerHint = CUSTOM_PROVIDERS.VERTEX;
+
+			// Check if Google/Vertex environment variables exist
+			if (
+				!process.env.GOOGLE_API_KEY &&
+				!process.env.GOOGLE_APPLICATION_CREDENTIALS
+			) {
+				console.error(
+					chalk.red(
+						'Error: Either GOOGLE_API_KEY or GOOGLE_APPLICATION_CREDENTIALS environment variable is required. Please set one before using custom Vertex models.'
+					)
+				);
+				setupSuccess = false;
+				return true; // Continue setup, but mark as failed
+			}
+
+			console.log(
+				chalk.blue(
+					`Custom Vertex AI model "${modelIdToSet}" will be used. No validation performed.`
+				)
+			);
 		} else if (
 			selectedValue &&
 			typeof selectedValue === 'object' &&
@@ -3307,6 +3428,14 @@ ${result.result}
 			'--bedrock',
 			'Allow setting a custom Bedrock model ID (use with --set-*) '
 		)
+		.option(
+			'--azure',
+			'Allow setting a custom Azure OpenAI model ID (use with --set-*) '
+		)
+		.option(
+			'--vertex',
+			'Allow setting a custom Vertex AI model ID (use with --set-*) '
+		)
 		.addHelpText(
 			'after',
 			`
@@ -3318,6 +3447,8 @@ Examples:
   $ task-master models --set-main my-custom-model --ollama  # Set custom Ollama model for main role
   $ task-master models --set-main anthropic.claude-3-sonnet-20240229-v1:0 --bedrock # Set custom Bedrock model for main role
   $ task-master models --set-main some/other-model --openrouter # Set custom OpenRouter model for main role
+  $ task-master models --set-main gpt-4o --azure # Set custom Azure OpenAI model for main role
+  $ task-master models --set-main claude-3-5-sonnet@20241022 --vertex # Set custom Vertex AI model for main role
   $ task-master models --setup                            # Run interactive setup`
 		)
 		.action(async (options) => {

scripts/modules/config-manager.js

@@ -5,6 +5,12 @@ import { fileURLToPath } from 'url';
 import { log, findProjectRoot, resolveEnvVariable } from './utils.js';
 import { LEGACY_CONFIG_FILE } from '../../src/constants/paths.js';
 import { findConfigPath } from '../../src/utils/path-utils.js';
+import {
+	VALIDATED_PROVIDERS,
+	CUSTOM_PROVIDERS,
+	CUSTOM_PROVIDERS_ARRAY,
+	ALL_PROVIDERS
+} from '../../src/constants/providers.js';
 
 // Calculate __dirname in ESM
 const __filename = fileURLToPath(import.meta.url);
@@ -29,9 +35,6 @@ try {
 	process.exit(1); // Exit if models can't be loaded
 }
 
-// Define valid providers dynamically from the loaded MODEL_MAP
-const VALID_PROVIDERS = Object.keys(MODEL_MAP || {});
-
 // Default configuration values (used if config file is missing or incomplete)
 const DEFAULTS = {
 	models: {
@@ -233,12 +236,25 @@ function getConfig(explicitRoot = null, forceReload = false) {
 }
 
 /**
- * Validates if a provider name is in the list of supported providers.
+ * Validates if a provider name is supported.
+ * Custom providers (azure, vertex, bedrock, openrouter, ollama) are always allowed.
+ * Validated providers must exist in the MODEL_MAP from supported-models.json.
  * @param {string} providerName The name of the provider.
  * @returns {boolean} True if the provider is valid, false otherwise.
  */
 function validateProvider(providerName) {
-	return VALID_PROVIDERS.includes(providerName);
+	// Custom providers are always allowed
+	if (CUSTOM_PROVIDERS_ARRAY.includes(providerName)) {
+		return true;
+	}
+
+	// Validated providers must exist in MODEL_MAP
+	if (VALIDATED_PROVIDERS.includes(providerName)) {
+		return !!(MODEL_MAP && MODEL_MAP[providerName]);
+	}
+
+	// Unknown providers are not allowed
+	return false;
 }
 
 /**
@@ -736,11 +752,11 @@ function getUserId(explicitRoot = null) {
 }
 
 /**
- * Gets a list of all provider names defined in the MODEL_MAP.
- * @returns {string[]} An array of provider names.
+ * Gets a list of all known provider names (both validated and custom).
+ * @returns {string[]} An array of all provider names.
  */
 function getAllProviders() {
-	return Object.keys(MODEL_MAP || {});
+	return ALL_PROVIDERS;
 }
 
 function getBaseUrlForRole(role, explicitRoot = null) {
@@ -759,7 +775,9 @@ export {
 	// Validation
 	validateProvider,
 	validateProviderModelCombination,
-	VALID_PROVIDERS,
+	VALIDATED_PROVIDERS,
+	CUSTOM_PROVIDERS,
+	ALL_PROVIDERS,
 	MODEL_MAP,
 	getAvailableModels,
 	// Role-specific getters (No env var overrides)

scripts/modules/supported-models.json

@@ -3,28 +3,40 @@
 		{
 			"id": "claude-sonnet-4-20250514",
 			"swe_score": 0.727,
-			"cost_per_1m_tokens": { "input": 3.0, "output": 15.0 },
+			"cost_per_1m_tokens": {
+				"input": 3.0,
+				"output": 15.0
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 64000
 		},
 		{
 			"id": "claude-opus-4-20250514",
 			"swe_score": 0.725,
-			"cost_per_1m_tokens": { "input": 15.0, "output": 75.0 },
+			"cost_per_1m_tokens": {
+				"input": 15.0,
+				"output": 75.0
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 32000
 		},
 		{
 			"id": "claude-3-7-sonnet-20250219",
 			"swe_score": 0.623,
-			"cost_per_1m_tokens": { "input": 3.0, "output": 15.0 },
+			"cost_per_1m_tokens": {
+				"input": 3.0,
+				"output": 15.0
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 120000
 		},
 		{
 			"id": "claude-3-5-sonnet-20241022",
 			"swe_score": 0.49,
-			"cost_per_1m_tokens": { "input": 3.0, "output": 15.0 },
+			"cost_per_1m_tokens": {
+				"input": 3.0,
+				"output": 15.0
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 64000
 		}
@@ -33,81 +45,120 @@
 		{
 			"id": "gpt-4o",
 			"swe_score": 0.332,
-			"cost_per_1m_tokens": { "input": 2.5, "output": 10.0 },
+			"cost_per_1m_tokens": {
+				"input": 2.5,
+				"output": 10.0
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 16384
 		},
 		{
 			"id": "o1",
 			"swe_score": 0.489,
-			"cost_per_1m_tokens": { "input": 15.0, "output": 60.0 },
+			"cost_per_1m_tokens": {
+				"input": 15.0,
+				"output": 60.0
+			},
 			"allowed_roles": ["main"]
 		},
 		{
 			"id": "o3",
 			"swe_score": 0.5,
-			"cost_per_1m_tokens": { "input": 2.0, "output": 8.0 },
+			"cost_per_1m_tokens": {
+				"input": 2.0,
+				"output": 8.0
+			},
 			"allowed_roles": ["main", "fallback"]
 		},
 		{
 			"id": "o3-mini",
 			"swe_score": 0.493,
-			"cost_per_1m_tokens": { "input": 1.1, "output": 4.4 },
+			"cost_per_1m_tokens": {
+				"input": 1.1,
+				"output": 4.4
+			},
 			"allowed_roles": ["main"],
 			"max_tokens": 100000
 		},
 		{
 			"id": "o4-mini",
 			"swe_score": 0.45,
-			"cost_per_1m_tokens": { "input": 1.1, "output": 4.4 },
+			"cost_per_1m_tokens": {
+				"input": 1.1,
+				"output": 4.4
+			},
 			"allowed_roles": ["main", "fallback"]
 		},
 		{
 			"id": "o1-mini",
 			"swe_score": 0.4,
-			"cost_per_1m_tokens": { "input": 1.1, "output": 4.4 },
+			"cost_per_1m_tokens": {
+				"input": 1.1,
+				"output": 4.4
+			},
 			"allowed_roles": ["main"]
 		},
 		{
 			"id": "o1-pro",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 150.0, "output": 600.0 },
+			"cost_per_1m_tokens": {
+				"input": 150.0,
+				"output": 600.0
+			},
 			"allowed_roles": ["main"]
 		},
 		{
 			"id": "gpt-4-5-preview",
 			"swe_score": 0.38,
-			"cost_per_1m_tokens": { "input": 75.0, "output": 150.0 },
+			"cost_per_1m_tokens": {
+				"input": 75.0,
+				"output": 150.0
+			},
 			"allowed_roles": ["main"]
 		},
 		{
 			"id": "gpt-4-1-mini",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.4, "output": 1.6 },
+			"cost_per_1m_tokens": {
+				"input": 0.4,
+				"output": 1.6
+			},
 			"allowed_roles": ["main"]
 		},
 		{
 			"id": "gpt-4-1-nano",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.1, "output": 0.4 },
+			"cost_per_1m_tokens": {
+				"input": 0.1,
+				"output": 0.4
+			},
 			"allowed_roles": ["main"]
 		},
 		{
 			"id": "gpt-4o-mini",
 			"swe_score": 0.3,
-			"cost_per_1m_tokens": { "input": 0.15, "output": 0.6 },
+			"cost_per_1m_tokens": {
+				"input": 0.15,
+				"output": 0.6
+			},
 			"allowed_roles": ["main"]
 		},
 		{
 			"id": "gpt-4o-search-preview",
 			"swe_score": 0.33,
-			"cost_per_1m_tokens": { "input": 2.5, "output": 10.0 },
+			"cost_per_1m_tokens": {
+				"input": 2.5,
+				"output": 10.0
+			},
 			"allowed_roles": ["research"]
 		},
 		{
 			"id": "gpt-4o-mini-search-preview",
 			"swe_score": 0.3,
-			"cost_per_1m_tokens": { "input": 0.15, "output": 0.6 },
+			"cost_per_1m_tokens": {
+				"input": 0.15,
+				"output": 0.6
+			},
 			"allowed_roles": ["research"]
 		}
 	],
@@ -136,7 +187,10 @@
 		{
 			"id": "gemini-2.0-flash",
 			"swe_score": 0.518,
-			"cost_per_1m_tokens": { "input": 0.15, "output": 0.6 },
+			"cost_per_1m_tokens": {
+				"input": 0.15,
+				"output": 0.6
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 1048000
 		},
@@ -152,35 +206,50 @@
 		{
 			"id": "sonar-pro",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 3, "output": 15 },
+			"cost_per_1m_tokens": {
+				"input": 3,
+				"output": 15
+			},
 			"allowed_roles": ["main", "research"],
 			"max_tokens": 8700
 		},
 		{
 			"id": "sonar",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 1, "output": 1 },
+			"cost_per_1m_tokens": {
+				"input": 1,
+				"output": 1
+			},
 			"allowed_roles": ["research"],
 			"max_tokens": 8700
 		},
 		{
 			"id": "deep-research",
 			"swe_score": 0.211,
-			"cost_per_1m_tokens": { "input": 2, "output": 8 },
+			"cost_per_1m_tokens": {
+				"input": 2,
+				"output": 8
+			},
 			"allowed_roles": ["research"],
 			"max_tokens": 8700
 		},
 		{
 			"id": "sonar-reasoning-pro",
 			"swe_score": 0.211,
-			"cost_per_1m_tokens": { "input": 2, "output": 8 },
+			"cost_per_1m_tokens": {
+				"input": 2,
+				"output": 8
+			},
 			"allowed_roles": ["main", "research", "fallback"],
 			"max_tokens": 8700
 		},
 		{
 			"id": "sonar-reasoning",
 			"swe_score": 0.211,
-			"cost_per_1m_tokens": { "input": 1, "output": 5 },
+			"cost_per_1m_tokens": {
+				"input": 1,
+				"output": 5
+			},
 			"allowed_roles": ["main", "research", "fallback"],
 			"max_tokens": 8700
 		}
@@ -190,7 +259,10 @@
 			"id": "grok-3",
 			"name": "Grok 3",
 			"swe_score": null,
-			"cost_per_1m_tokens": { "input": 3, "output": 15 },
+			"cost_per_1m_tokens": {
+				"input": 3,
+				"output": 15
+			},
 			"allowed_roles": ["main", "fallback", "research"],
 			"max_tokens": 131072
 		},
@@ -198,7 +270,10 @@
 			"id": "grok-3-fast",
 			"name": "Grok 3 Fast",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 5, "output": 25 },
+			"cost_per_1m_tokens": {
+				"input": 5,
+				"output": 25
+			},
 			"allowed_roles": ["main", "fallback", "research"],
 			"max_tokens": 131072
 		}
@@ -207,43 +282,64 @@
 		{
 			"id": "devstral:latest",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0, "output": 0 },
+			"cost_per_1m_tokens": {
+				"input": 0,
+				"output": 0
+			},
 			"allowed_roles": ["main", "fallback"]
 		},
 		{
 			"id": "qwen3:latest",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0, "output": 0 },
+			"cost_per_1m_tokens": {
+				"input": 0,
+				"output": 0
+			},
 			"allowed_roles": ["main", "fallback"]
 		},
 		{
 			"id": "qwen3:14b",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0, "output": 0 },
+			"cost_per_1m_tokens": {
+				"input": 0,
+				"output": 0
+			},
 			"allowed_roles": ["main", "fallback"]
 		},
 		{
 			"id": "qwen3:32b",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0, "output": 0 },
+			"cost_per_1m_tokens": {
+				"input": 0,
+				"output": 0
+			},
 			"allowed_roles": ["main", "fallback"]
 		},
 		{
 			"id": "mistral-small3.1:latest",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0, "output": 0 },
+			"cost_per_1m_tokens": {
+				"input": 0,
+				"output": 0
+			},
 			"allowed_roles": ["main", "fallback"]
 		},
 		{
 			"id": "llama3.3:latest",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0, "output": 0 },
+			"cost_per_1m_tokens": {
+				"input": 0,
+				"output": 0
+			},
 			"allowed_roles": ["main", "fallback"]
 		},
 		{
 			"id": "phi4:latest",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0, "output": 0 },
+			"cost_per_1m_tokens": {
+				"input": 0,
+				"output": 0
+			},
 			"allowed_roles": ["main", "fallback"]
 		}
 	],
@@ -251,175 +347,250 @@
 		{
 			"id": "google/gemini-2.5-flash-preview-05-20",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.15, "output": 0.6 },
+			"cost_per_1m_tokens": {
+				"input": 0.15,
+				"output": 0.6
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 1048576
 		},
 		{
 			"id": "google/gemini-2.5-flash-preview-05-20:thinking",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.15, "output": 3.5 },
+			"cost_per_1m_tokens": {
+				"input": 0.15,
+				"output": 3.5
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 1048576
 		},
 		{
 			"id": "google/gemini-2.5-pro-exp-03-25",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0, "output": 0 },
+			"cost_per_1m_tokens": {
+				"input": 0,
+				"output": 0
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 1000000
 		},
 		{
 			"id": "deepseek/deepseek-chat-v3-0324:free",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0, "output": 0 },
+			"cost_per_1m_tokens": {
+				"input": 0,
+				"output": 0
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 163840
 		},
 		{
 			"id": "deepseek/deepseek-chat-v3-0324",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.27, "output": 1.1 },
+			"cost_per_1m_tokens": {
+				"input": 0.27,
+				"output": 1.1
+			},
 			"allowed_roles": ["main"],
 			"max_tokens": 64000
 		},
 		{
 			"id": "openai/gpt-4.1",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 2, "output": 8 },
+			"cost_per_1m_tokens": {
+				"input": 2,
+				"output": 8
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 1000000
 		},
 		{
 			"id": "openai/gpt-4.1-mini",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.4, "output": 1.6 },
+			"cost_per_1m_tokens": {
+				"input": 0.4,
+				"output": 1.6
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 1000000
 		},
 		{
 			"id": "openai/gpt-4.1-nano",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.1, "output": 0.4 },
+			"cost_per_1m_tokens": {
+				"input": 0.1,
+				"output": 0.4
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 1000000
 		},
 		{
 			"id": "openai/o3",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 10, "output": 40 },
+			"cost_per_1m_tokens": {
+				"input": 10,
+				"output": 40
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 200000
 		},
 		{
 			"id": "openai/codex-mini",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 1.5, "output": 6 },
+			"cost_per_1m_tokens": {
+				"input": 1.5,
+				"output": 6
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 100000
 		},
 		{
 			"id": "openai/gpt-4o-mini",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.15, "output": 0.6 },
+			"cost_per_1m_tokens": {
+				"input": 0.15,
+				"output": 0.6
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 100000
 		},
 		{
 			"id": "openai/o4-mini",
 			"swe_score": 0.45,
-			"cost_per_1m_tokens": { "input": 1.1, "output": 4.4 },
+			"cost_per_1m_tokens": {
+				"input": 1.1,
+				"output": 4.4
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 100000
 		},
 		{
 			"id": "openai/o4-mini-high",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 1.1, "output": 4.4 },
+			"cost_per_1m_tokens": {
+				"input": 1.1,
+				"output": 4.4
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 100000
 		},
 		{
 			"id": "openai/o1-pro",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 150, "output": 600 },
+			"cost_per_1m_tokens": {
+				"input": 150,
+				"output": 600
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 100000
 		},
 		{
 			"id": "meta-llama/llama-3.3-70b-instruct",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 120, "output": 600 },
+			"cost_per_1m_tokens": {
+				"input": 120,
+				"output": 600
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 1048576
 		},
 		{
 			"id": "meta-llama/llama-4-maverick",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.18, "output": 0.6 },
+			"cost_per_1m_tokens": {
+				"input": 0.18,
+				"output": 0.6
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 1000000
 		},
 		{
 			"id": "meta-llama/llama-4-scout",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.08, "output": 0.3 },
+			"cost_per_1m_tokens": {
+				"input": 0.08,
+				"output": 0.3
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 1000000
 		},
 		{
 			"id": "qwen/qwen-max",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 1.6, "output": 6.4 },
+			"cost_per_1m_tokens": {
+				"input": 1.6,
+				"output": 6.4
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 32768
 		},
 		{
 			"id": "qwen/qwen-turbo",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.05, "output": 0.2 },
+			"cost_per_1m_tokens": {
+				"input": 0.05,
+				"output": 0.2
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 1000000
 		},
 		{
 			"id": "qwen/qwen3-235b-a22b",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.14, "output": 2 },
+			"cost_per_1m_tokens": {
+				"input": 0.14,
+				"output": 2
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 24000
 		},
 		{
 			"id": "mistralai/mistral-small-3.1-24b-instruct:free",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0, "output": 0 },
+			"cost_per_1m_tokens": {
+				"input": 0,
+				"output": 0
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 96000
 		},
 		{
 			"id": "mistralai/mistral-small-3.1-24b-instruct",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.1, "output": 0.3 },
+			"cost_per_1m_tokens": {
+				"input": 0.1,
+				"output": 0.3
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 128000
 		},
 		{
 			"id": "mistralai/devstral-small",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.1, "output": 0.3 },
+			"cost_per_1m_tokens": {
+				"input": 0.1,
+				"output": 0.3
+			},
 			"allowed_roles": ["main"],
 			"max_tokens": 110000
 		},
 		{
 			"id": "mistralai/mistral-nemo",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0.03, "output": 0.07 },
+			"cost_per_1m_tokens": {
+				"input": 0.03,
+				"output": 0.07
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 100000
 		},
 		{
 			"id": "thudm/glm-4-32b:free",
 			"swe_score": 0,
-			"cost_per_1m_tokens": { "input": 0, "output": 0 },
+			"cost_per_1m_tokens": {
+				"input": 0,
+				"output": 0
+			},
 			"allowed_roles": ["main", "fallback"],
 			"max_tokens": 32768
 		}

scripts/modules/task-manager/models.js

@@ -23,6 +23,7 @@ import {
 } from '../config-manager.js';
 import { findConfigPath } from '../../../src/utils/path-utils.js';
 import { log } from '../utils.js';
+import { CUSTOM_PROVIDERS } from '../../../src/constants/providers.js';
 
 /**
  * Fetches the list of models from OpenRouter API.
@@ -440,7 +441,7 @@ async function setModel(role, modelId, options = {}) {
 			} else {
 				// Either not found internally, OR found but under a DIFFERENT provider than hinted.
 				// Proceed with custom logic based ONLY on the hint.
-				if (providerHint === 'openrouter') {
+				if (providerHint === CUSTOM_PROVIDERS.OPENROUTER) {
 					// Check OpenRouter ONLY because hint was openrouter
 					report('info', `Checking OpenRouter for ${modelId} (as hinted)...`);
 					const openRouterModels = await fetchOpenRouterModels();
@@ -449,7 +450,7 @@ async function setModel(role, modelId, options = {}) {
 						openRouterModels &&
 						openRouterModels.some((m) => m.id === modelId)
 					) {
-						determinedProvider = 'openrouter';
+						determinedProvider = CUSTOM_PROVIDERS.OPENROUTER;
 
 						// Check if this is a free model (ends with :free)
 						if (modelId.endsWith(':free')) {
@@ -465,7 +466,7 @@ async function setModel(role, modelId, options = {}) {
 							`Model ID "${modelId}" not found in the live OpenRouter model list. Please verify the ID and ensure it's available on OpenRouter.`
 						);
 					}
-				} else if (providerHint === 'ollama') {
+				} else if (providerHint === CUSTOM_PROVIDERS.OLLAMA) {
 					// Check Ollama ONLY because hint was ollama
 					report('info', `Checking Ollama for ${modelId} (as hinted)...`);
 
@@ -479,7 +480,7 @@ async function setModel(role, modelId, options = {}) {
 							`Unable to connect to Ollama server at ${ollamaBaseURL}. Please ensure Ollama is running and try again.`
 						);
 					} else if (ollamaModels.some((m) => m.model === modelId)) {
-						determinedProvider = 'ollama';
+						determinedProvider = CUSTOM_PROVIDERS.OLLAMA;
 						warningMessage = `Warning: Custom Ollama model '${modelId}' set. Ensure your Ollama server is running and has pulled this model. Taskmaster cannot guarantee compatibility.`;
 						report('warn', warningMessage);
 					} else {
@@ -489,13 +490,23 @@ async function setModel(role, modelId, options = {}) {
 							`Model ID "${modelId}" not found in the Ollama instance. Please verify the model is pulled and available. You can check available models with: curl ${tagsUrl}`
 						);
 					}
-				} else if (providerHint === 'bedrock') {
+				} else if (providerHint === CUSTOM_PROVIDERS.BEDROCK) {
 					// Set provider without model validation since Bedrock models are managed by AWS
-					determinedProvider = 'bedrock';
+					determinedProvider = CUSTOM_PROVIDERS.BEDROCK;
 					warningMessage = `Warning: Custom Bedrock model '${modelId}' set. Please ensure the model ID is valid and accessible in your AWS account.`;
 					report('warn', warningMessage);
+				} else if (providerHint === CUSTOM_PROVIDERS.AZURE) {
+					// Set provider without model validation since Azure models are managed by Azure
+					determinedProvider = CUSTOM_PROVIDERS.AZURE;
+					warningMessage = `Warning: Custom Azure model '${modelId}' set. Please ensure the model deployment is valid and accessible in your Azure account.`;
+					report('warn', warningMessage);
+				} else if (providerHint === CUSTOM_PROVIDERS.VERTEX) {
+					// Set provider without model validation since Vertex models are managed by Google Cloud
+					determinedProvider = CUSTOM_PROVIDERS.VERTEX;
+					warningMessage = `Warning: Custom Vertex AI model '${modelId}' set. Please ensure the model is valid and accessible in your Google Cloud project.`;
+					report('warn', warningMessage);
 				} else {
-					// Invalid provider hint - should not happen
+					// Invalid provider hint - should not happen with our constants
 					throw new Error(`Invalid provider hint received: ${providerHint}`);
 				}
 			}

src/constants/providers.js

@@ -0,0 +1,32 @@
+/**
+ * Provider validation constants
+ * Defines which providers should be validated against the supported-models.json file
+ */
+
+// Providers that have predefined model lists and should be validated
+export const VALIDATED_PROVIDERS = [
+	'anthropic',
+	'openai',
+	'google',
+	'perplexity',
+	'xai',
+	'mistral'
+];
+
+// Custom providers object for easy named access
+export const CUSTOM_PROVIDERS = {
+	AZURE: 'azure',
+	VERTEX: 'vertex',
+	BEDROCK: 'bedrock',
+	OPENROUTER: 'openrouter',
+	OLLAMA: 'ollama'
+};
+
+// Custom providers array (for backward compatibility and iteration)
+export const CUSTOM_PROVIDERS_ARRAY = Object.values(CUSTOM_PROVIDERS);
+
+// All known providers (for reference)
+export const ALL_PROVIDERS = [
+	...VALIDATED_PROVIDERS,
+	...CUSTOM_PROVIDERS_ARRAY
+];

tests/unit/config-manager.test.js

@@ -713,17 +713,25 @@ describe('isConfigFilePresent', () => {
 
 // --- getAllProviders Tests ---
 describe('getAllProviders', () => {
-	test('should return list of providers from supported-models.json', () => {
+	test('should return all providers from ALL_PROVIDERS constant', () => {
 		// Arrange: Ensure config is loaded with real data
 		configManager.getConfig(null, true); // Force load using the mock that returns real data
 
 		// Act
 		const providers = configManager.getAllProviders();
+
 		// Assert
-		// Assert against the actual keys in the REAL loaded data
-		const expectedProviders = Object.keys(REAL_SUPPORTED_MODELS_DATA);
-		expect(providers).toEqual(expect.arrayContaining(expectedProviders));
-		expect(providers.length).toBe(expectedProviders.length);
+		// getAllProviders() should return the same as the ALL_PROVIDERS constant
+		expect(providers).toEqual(configManager.ALL_PROVIDERS);
+		expect(providers.length).toBe(configManager.ALL_PROVIDERS.length);
+
+		// Verify it includes both validated and custom providers
+		expect(providers).toEqual(
+			expect.arrayContaining(configManager.VALIDATED_PROVIDERS)
+		);
+		expect(providers).toEqual(
+			expect.arrayContaining(Object.values(configManager.CUSTOM_PROVIDERS))
+		);
 	});
 });