fix: package.mjs to correspond to taskmaster AI pre-releases in extensions (what vscode expects)

- chore: run format

.changeset/vast-weeks-fetch.md

@@ -1,7 +0,0 @@
----
-"task-master-ai": minor
----
-
-Add GPT-5 support with proper parameter handling
-
-- Added GPT-5 model to supported models configuration with SWE score of 0.749

CLAUDE.md

@@ -3,7 +3,3 @@
 ## Task Master AI Instructions
 **Import Task Master's development workflow commands and guidelines, treat as if import is in the main CLAUDE.md file.**
 @./.taskmaster/CLAUDE.md
-
-## Changeset Guidelines
-
-- When creating changesets, remember that it's user-facing, meaning we don't have to get into the specifics of the code, but rather mention what the end-user is getting or fixing from this changeset.

docs/models.md

@@ -1,4 +1,4 @@
-# Available Models as of August 8, 2025
+# Available Models as of July 23, 2025
 
 ## Main Models
 
@@ -24,7 +24,6 @@
 | openai      | gpt-4-1-mini                                   | —         | 0.4        | 1.6         |
 | openai      | gpt-4-1-nano                                   | —         | 0.1        | 0.4         |
 | openai      | gpt-4o-mini                                    | 0.3       | 0.15       | 0.6         |
-| openai      | gpt-5                                          | 0.749     | 5          | 20          |
 | google      | gemini-2.5-pro-preview-05-06                   | 0.638     | —          | —           |
 | google      | gemini-2.5-pro-preview-03-25                   | 0.638     | —          | —           |
 | google      | gemini-2.5-flash-preview-04-17                 | 0.604     | —          | —           |
@@ -135,7 +134,6 @@
 | openai      | gpt-4o                                         | 0.332     | 2.5        | 10          |
 | openai      | o3                                             | 0.5       | 2          | 8           |
 | openai      | o4-mini                                        | 0.45      | 1.1        | 4.4         |
-| openai      | gpt-5                                          | 0.749     | 5          | 20          |
 | google      | gemini-2.5-pro-preview-05-06                   | 0.638     | —          | —           |
 | google      | gemini-2.5-pro-preview-03-25                   | 0.638     | —          | —           |
 | google      | gemini-2.5-flash-preview-04-17                 | 0.604     | —          | —           |

scripts/modules/config-manager.js

@@ -557,7 +557,6 @@ function getParametersForRole(role, explicitRoot = null) {
 	const providerName = roleConfig.provider;
 
 	let effectiveMaxTokens = roleMaxTokens; // Start with the role's default
-	let effectiveTemperature = roleTemperature; // Start with the role's default
 
 	try {
 		// Find the model definition in MODEL_MAP
@@ -584,20 +583,6 @@ function getParametersForRole(role, explicitRoot = null) {
 					`No valid model-specific max_tokens override found for ${modelId}. Using role default: ${roleMaxTokens}`
 				);
 			}
-
-			// Check if a model-specific temperature is defined
-			if (
-				modelDefinition &&
-				typeof modelDefinition.temperature === 'number' &&
-				modelDefinition.temperature >= 0 &&
-				modelDefinition.temperature <= 1
-			) {
-				effectiveTemperature = modelDefinition.temperature;
-				log(
-					'debug',
-					`Applying model-specific temperature (${modelDefinition.temperature}) for ${modelId}`
-				);
-			}
 		} else {
 			// Special handling for custom OpenRouter models
 			if (providerName === CUSTOM_PROVIDERS.OPENROUTER) {
@@ -618,16 +603,15 @@ function getParametersForRole(role, explicitRoot = null) {
 	} catch (lookupError) {
 		log(
 			'warn',
-			`Error looking up model-specific parameters for ${modelId}: ${lookupError.message}. Using role defaults.`
+			`Error looking up model-specific max_tokens for ${modelId}: ${lookupError.message}. Using role default: ${roleMaxTokens}`
 		);
-		// Fallback to role defaults on error
+		// Fallback to role default on error
 		effectiveMaxTokens = roleMaxTokens;
-		effectiveTemperature = roleTemperature;
 	}
 
 	return {
 		maxTokens: effectiveMaxTokens,
-		temperature: effectiveTemperature
+		temperature: roleTemperature
 	};
 }
 

scripts/modules/supported-models.json

@@ -239,18 +239,6 @@
 			},
 			"allowed_roles": ["research"],
 			"supported": true
-		},
-		{
-			"id": "gpt-5",
-			"swe_score": 0.749,
-			"cost_per_1m_tokens": {
-				"input": 5.0,
-				"output": 20.0
-			},
-			"allowed_roles": ["main", "fallback"],
-			"max_tokens": 100000,
-			"temperature": 1,
-			"supported": true
 		}
 	],
 	"google": [

src/ai-providers/base-provider.js

@@ -61,11 +61,8 @@ export class BaseAIProvider {
 		) {
 			throw new Error('Temperature must be between 0 and 1');
 		}
-		if (params.maxTokens !== undefined) {
-			const maxTokens = Number(params.maxTokens);
-			if (!Number.isFinite(maxTokens) || maxTokens <= 0) {
-				throw new Error('maxTokens must be a finite number greater than 0');
-			}
+		if (params.maxTokens !== undefined && params.maxTokens <= 0) {
+			throw new Error('maxTokens must be greater than 0');
 		}
 	}
 
@@ -125,37 +122,6 @@ export class BaseAIProvider {
 		throw new Error('getRequiredApiKeyName must be implemented by provider');
 	}
 
-	/**
-	 * Determines if a model requires max_completion_tokens instead of maxTokens
-	 * Can be overridden by providers to specify their model requirements
-	 * @param {string} modelId - The model ID to check
-	 * @returns {boolean} True if the model requires max_completion_tokens
-	 */
-	requiresMaxCompletionTokens(modelId) {
-		return false; // Default behavior - most models use maxTokens
-	}
-
-	/**
-	 * Prepares token limit parameter based on model requirements
-	 * @param {string} modelId - The model ID
-	 * @param {number} maxTokens - The maximum tokens value
-	 * @returns {object} Object with either maxTokens or max_completion_tokens
-	 */
-	prepareTokenParam(modelId, maxTokens) {
-		if (maxTokens === undefined) {
-			return {};
-		}
-
-		// Ensure maxTokens is an integer
-		const tokenValue = Math.floor(Number(maxTokens));
-
-		if (this.requiresMaxCompletionTokens(modelId)) {
-			return { max_completion_tokens: tokenValue };
-		} else {
-			return { maxTokens: tokenValue };
-		}
-	}
-
 	/**
 	 * Generates text using the provider's model
 	 */
@@ -173,7 +139,7 @@ export class BaseAIProvider {
 			const result = await generateText({
 				model: client(params.modelId),
 				messages: params.messages,
-				...this.prepareTokenParam(params.modelId, params.maxTokens),
+				maxTokens: params.maxTokens,
 				temperature: params.temperature
 			});
 
@@ -209,7 +175,7 @@ export class BaseAIProvider {
 			const stream = await streamText({
 				model: client(params.modelId),
 				messages: params.messages,
-				...this.prepareTokenParam(params.modelId, params.maxTokens),
+				maxTokens: params.maxTokens,
 				temperature: params.temperature
 			});
 
@@ -250,7 +216,7 @@ export class BaseAIProvider {
 				messages: params.messages,
 				schema: zodSchema(params.schema),
 				mode: params.mode || 'auto',
-				...this.prepareTokenParam(params.modelId, params.maxTokens),
+				maxTokens: params.maxTokens,
 				temperature: params.temperature
 			});
 

src/ai-providers/openai.js

@@ -20,16 +20,6 @@ export class OpenAIProvider extends BaseAIProvider {
 		return 'OPENAI_API_KEY';
 	}
 
-	/**
-	 * Determines if a model requires max_completion_tokens instead of maxTokens
-	 * GPT-5 models require max_completion_tokens parameter
-	 * @param {string} modelId - The model ID to check
-	 * @returns {boolean} True if the model requires max_completion_tokens
-	 */
-	requiresMaxCompletionTokens(modelId) {
-		return modelId && modelId.startsWith('gpt-5');
-	}
-
 	/**
 	 * Creates and returns an OpenAI client instance.
 	 * @param {object} params - Parameters for client initialization

tests/unit/ai-providers/openai.test.js

@@ -1,238 +0,0 @@
-/**
- * Tests for OpenAI Provider - Token parameter handling for GPT-5
- *
- * This test suite covers:
- * 1. Correct identification of GPT-5 models requiring max_completion_tokens
- * 2. Token parameter preparation for different model types
- * 3. Validation of maxTokens parameter
- * 4. Integer coercion of token values
- */
-
-import { jest } from '@jest/globals';
-
-// Mock the utils module to prevent logging during tests
-jest.mock('../../../scripts/modules/utils.js', () => ({
-	log: jest.fn()
-}));
-
-// Import the provider
-import { OpenAIProvider } from '../../../src/ai-providers/openai.js';
-
-describe('OpenAIProvider', () => {
-	let provider;
-
-	beforeEach(() => {
-		provider = new OpenAIProvider();
-		jest.clearAllMocks();
-	});
-
-	describe('requiresMaxCompletionTokens', () => {
-		it('should return true for GPT-5 models', () => {
-			expect(provider.requiresMaxCompletionTokens('gpt-5')).toBe(true);
-			expect(provider.requiresMaxCompletionTokens('gpt-5-mini')).toBe(true);
-			expect(provider.requiresMaxCompletionTokens('gpt-5-nano')).toBe(true);
-			expect(provider.requiresMaxCompletionTokens('gpt-5-turbo')).toBe(true);
-		});
-
-		it('should return false for non-GPT-5 models', () => {
-			expect(provider.requiresMaxCompletionTokens('gpt-4')).toBe(false);
-			expect(provider.requiresMaxCompletionTokens('gpt-4o')).toBe(false);
-			expect(provider.requiresMaxCompletionTokens('gpt-3.5-turbo')).toBe(false);
-			expect(provider.requiresMaxCompletionTokens('o1')).toBe(false);
-			expect(provider.requiresMaxCompletionTokens('o1-mini')).toBe(false);
-		});
-
-		it('should handle null/undefined modelId', () => {
-			expect(provider.requiresMaxCompletionTokens(null)).toBeFalsy();
-			expect(provider.requiresMaxCompletionTokens(undefined)).toBeFalsy();
-			expect(provider.requiresMaxCompletionTokens('')).toBeFalsy();
-		});
-	});
-
-	describe('prepareTokenParam', () => {
-		it('should return max_completion_tokens for GPT-5 models', () => {
-			const result = provider.prepareTokenParam('gpt-5', 1000);
-			expect(result).toEqual({ max_completion_tokens: 1000 });
-		});
-
-		it('should return maxTokens for non-GPT-5 models', () => {
-			const result = provider.prepareTokenParam('gpt-4', 1000);
-			expect(result).toEqual({ maxTokens: 1000 });
-		});
-
-		it('should coerce token value to integer', () => {
-			// Float values
-			const result1 = provider.prepareTokenParam('gpt-5', 1000.7);
-			expect(result1).toEqual({ max_completion_tokens: 1000 });
-
-			const result2 = provider.prepareTokenParam('gpt-4', 1000.7);
-			expect(result2).toEqual({ maxTokens: 1000 });
-
-			// String float
-			const result3 = provider.prepareTokenParam('gpt-5', '1000.7');
-			expect(result3).toEqual({ max_completion_tokens: 1000 });
-
-			// String integers (common CLI input path)
-			expect(provider.prepareTokenParam('gpt-5', '1000')).toEqual({
-				max_completion_tokens: 1000
-			});
-			expect(provider.prepareTokenParam('gpt-4', '1000')).toEqual({
-				maxTokens: 1000
-			});
-		});
-
-		it('should return empty object for undefined maxTokens', () => {
-			const result = provider.prepareTokenParam('gpt-5', undefined);
-			expect(result).toEqual({});
-		});
-
-		it('should handle edge cases', () => {
-			// Test with 0 (should still pass through as 0)
-			const result1 = provider.prepareTokenParam('gpt-5', 0);
-			expect(result1).toEqual({ max_completion_tokens: 0 });
-
-			// Test with string number
-			const result2 = provider.prepareTokenParam('gpt-5', '100');
-			expect(result2).toEqual({ max_completion_tokens: 100 });
-
-			// Test with negative number (will be floored, validation happens elsewhere)
-			const result3 = provider.prepareTokenParam('gpt-4', -10.5);
-			expect(result3).toEqual({ maxTokens: -11 });
-		});
-	});
-
-	describe('validateOptionalParams', () => {
-		it('should accept valid maxTokens values', () => {
-			expect(() =>
-				provider.validateOptionalParams({ maxTokens: 1000 })
-			).not.toThrow();
-			expect(() =>
-				provider.validateOptionalParams({ maxTokens: 1 })
-			).not.toThrow();
-			expect(() =>
-				provider.validateOptionalParams({ maxTokens: '1000' })
-			).not.toThrow();
-		});
-
-		it('should reject invalid maxTokens values', () => {
-			expect(() => provider.validateOptionalParams({ maxTokens: 0 })).toThrow(
-				Error
-			);
-			expect(() => provider.validateOptionalParams({ maxTokens: -1 })).toThrow(
-				Error
-			);
-			expect(() => provider.validateOptionalParams({ maxTokens: NaN })).toThrow(
-				Error
-			);
-			expect(() =>
-				provider.validateOptionalParams({ maxTokens: Infinity })
-			).toThrow(Error);
-			expect(() =>
-				provider.validateOptionalParams({ maxTokens: 'invalid' })
-			).toThrow(Error);
-		});
-
-		it('should accept valid temperature values', () => {
-			expect(() =>
-				provider.validateOptionalParams({ temperature: 0 })
-			).not.toThrow();
-			expect(() =>
-				provider.validateOptionalParams({ temperature: 0.5 })
-			).not.toThrow();
-			expect(() =>
-				provider.validateOptionalParams({ temperature: 1 })
-			).not.toThrow();
-		});
-
-		it('should reject invalid temperature values', () => {
-			expect(() =>
-				provider.validateOptionalParams({ temperature: -0.1 })
-			).toThrow(Error);
-			expect(() =>
-				provider.validateOptionalParams({ temperature: 1.1 })
-			).toThrow(Error);
-		});
-	});
-
-	describe('getRequiredApiKeyName', () => {
-		it('should return OPENAI_API_KEY', () => {
-			expect(provider.getRequiredApiKeyName()).toBe('OPENAI_API_KEY');
-		});
-	});
-
-	describe('getClient', () => {
-		it('should throw error if API key is missing', () => {
-			expect(() => provider.getClient({})).toThrow(Error);
-		});
-
-		it('should create client with apiKey only', () => {
-			const params = {
-				apiKey: 'sk-test-123'
-			};
-
-			// The getClient method should return a function
-			const client = provider.getClient(params);
-			expect(typeof client).toBe('function');
-
-			// The client function should be callable and return a model object
-			const model = client('gpt-4');
-			expect(model).toBeDefined();
-			expect(model.modelId).toBe('gpt-4');
-		});
-
-		it('should create client with apiKey and baseURL', () => {
-			const params = {
-				apiKey: 'sk-test-456',
-				baseURL: 'https://api.openai.example'
-			};
-
-			// Should not throw when baseURL is provided
-			const client = provider.getClient(params);
-			expect(typeof client).toBe('function');
-
-			// The client function should be callable and return a model object
-			const model = client('gpt-5');
-			expect(model).toBeDefined();
-			expect(model.modelId).toBe('gpt-5');
-		});
-
-		it('should return the same client instance for the same parameters', () => {
-			const params = {
-				apiKey: 'sk-test-789'
-			};
-
-			// Multiple calls with same params should work
-			const client1 = provider.getClient(params);
-			const client2 = provider.getClient(params);
-
-			expect(typeof client1).toBe('function');
-			expect(typeof client2).toBe('function');
-
-			// Both clients should be able to create models
-			const model1 = client1('gpt-4');
-			const model2 = client2('gpt-4');
-			expect(model1.modelId).toBe('gpt-4');
-			expect(model2.modelId).toBe('gpt-4');
-		});
-
-		it('should handle different model IDs correctly', () => {
-			const client = provider.getClient({ apiKey: 'sk-test-models' });
-
-			// Test with different models
-			const gpt4 = client('gpt-4');
-			expect(gpt4.modelId).toBe('gpt-4');
-
-			const gpt5 = client('gpt-5');
-			expect(gpt5.modelId).toBe('gpt-5');
-
-			const gpt35 = client('gpt-3.5-turbo');
-			expect(gpt35.modelId).toBe('gpt-3.5-turbo');
-		});
-	});
-
-	describe('name property', () => {
-		it('should have OpenAI as the provider name', () => {
-			expect(provider.name).toBe('OpenAI');
-		});
-	});
-});