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Author SHA1 Message Date
Ralph Khreish
5df253e085 chore: fix CI checker, improve it 2025-08-07 15:19:05 +02:00
15 changed files with 26 additions and 460 deletions

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@@ -6,12 +6,8 @@
"extension": "0.23.0"
},
"changesets": [
"fuzzy-brooms-mate",
"fuzzy-words-count",
"honest-steaks-check",
"tender-trams-refuse",
"upset-ants-return",
"vast-sites-leave",
"wide-actors-report"
"vast-sites-leave"
]
}
}

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@@ -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

View File

@@ -1,78 +1,5 @@
# task-master-ai
## 0.24.0-rc.1
### Minor Changes
- [#1093](https://github.com/eyaltoledano/claude-task-master/pull/1093) [`36468f3`](https://github.com/eyaltoledano/claude-task-master/commit/36468f3c93faf4035a5c442ccbc501077f3440f1) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Enhanced Claude Code provider with codebase-aware task generation
- Added automatic codebase analysis for Claude Code provider in `parse-prd`, `expand-task`, and `analyze-complexity` commands
- When using Claude Code as the AI provider, Task Master now instructs the AI to analyze the project structure, existing implementations, and patterns before generating tasks or subtasks
- Tasks and subtasks generated by Claude Code are now informed by actual codebase analysis, resulting in more accurate and contextual outputs
- [#1091](https://github.com/eyaltoledano/claude-task-master/pull/1091) [`4bb6370`](https://github.com/eyaltoledano/claude-task-master/commit/4bb63706b80c28d1b2d782ba868a725326f916c7) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Add Claude Code subagent support with task-orchestrator, task-executor, and task-checker
## New Claude Code Agents
Added specialized agents for Claude Code users to enable parallel task execution, intelligent task orchestration, and quality assurance:
### task-orchestrator
Coordinates and manages the execution of Task Master tasks with intelligent dependency analysis:
- Analyzes task dependencies to identify parallelizable work
- Deploys multiple task-executor agents for concurrent execution
- Monitors task completion and updates the dependency graph
- Automatically identifies and starts newly unblocked tasks
### task-executor
Handles the actual implementation of individual tasks:
- Executes specific tasks identified by the orchestrator
- Works on concrete implementation rather than planning
- Updates task status and logs progress
- Can work in parallel with other executors on independent tasks
### task-checker
Verifies that completed tasks meet their specifications:
- Reviews tasks marked as 'review' status
- Validates implementation against requirements
- Runs tests and checks for best practices
- Ensures quality before marking tasks as 'done'
## Installation
When using the Claude profile (`task-master rules add claude`), the agents are automatically installed to `.claude/agents/` directory.
## Usage Example
```bash
# In Claude Code, after initializing a project with tasks:
# Use task-orchestrator to analyze and coordinate work
# The orchestrator will:
# 1. Check task dependencies
# 2. Identify tasks that can run in parallel
# 3. Deploy executors for available work
# 4. Monitor progress and deploy new executors as tasks complete
# Use task-executor for specific task implementation
# When the orchestrator identifies task 2.3 needs work:
# The executor will implement that specific task
```
## Benefits
- **Parallel Execution**: Multiple independent tasks can be worked on simultaneously
- **Intelligent Scheduling**: Orchestrator understands dependencies and optimizes execution order
- **Separation of Concerns**: Planning (orchestrator) is separated from execution (executor)
- **Progress Tracking**: Real-time updates as tasks are completed
- **Automatic Progression**: As tasks complete, newly unblocked tasks are automatically started
### Patch Changes
- [#1094](https://github.com/eyaltoledano/claude-task-master/pull/1094) [`4357af3`](https://github.com/eyaltoledano/claude-task-master/commit/4357af3f13859d90bca8795215e5d5f1d94abde5) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fix expand task generating unrelated generic subtasks
Fixed an issue where `task-master expand` would generate generic authentication-related subtasks regardless of the parent task context when using complexity reports. The expansion now properly includes the parent task details alongside any expansion guidance.
## 0.23.1-rc.0
### Patch Changes

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@@ -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.

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@@ -1,14 +1,5 @@
# Change Log
## 0.23.1-rc.0
### Patch Changes
- [#1090](https://github.com/eyaltoledano/claude-task-master/pull/1090) [`a464e55`](https://github.com/eyaltoledano/claude-task-master/commit/a464e550b886ef81b09df80588fe5881bce83d93) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fix issues with some users not being able to connect to Taskmaster MCP server while using the extension
- Updated dependencies [[`4357af3`](https://github.com/eyaltoledano/claude-task-master/commit/4357af3f13859d90bca8795215e5d5f1d94abde5), [`36468f3`](https://github.com/eyaltoledano/claude-task-master/commit/36468f3c93faf4035a5c442ccbc501077f3440f1), [`4bb6370`](https://github.com/eyaltoledano/claude-task-master/commit/4bb63706b80c28d1b2d782ba868a725326f916c7)]:
- task-master-ai@0.24.0-rc.1
## 0.23.0
### Minor Changes

View File

@@ -3,7 +3,7 @@
"private": true,
"displayName": "TaskMaster",
"description": "A visual Kanban board interface for TaskMaster projects in VS Code",
"version": "0.23.1-rc.0",
"version": "0.23.0",
"publisher": "Hamster",
"icon": "assets/icon.png",
"engines": {
@@ -239,7 +239,7 @@
"check-types": "tsc --noEmit"
},
"dependencies": {
"task-master-ai": "0.24.0-rc.1"
"task-master-ai": "*"
},
"devDependencies": {
"@dnd-kit/core": "^6.3.1",

View File

@@ -64,49 +64,23 @@ try {
fs.readFileSync(publishPackagePath, 'utf8')
);
// Handle RC versions for VS Code Marketplace
let finalVersion = devPackage.version;
if (finalVersion.includes('-rc.')) {
// Check if versions are in sync
if (devPackage.version !== publishPackage.version) {
console.log(
' - Detected RC version, transforming for VS Code Marketplace...'
` - Version sync needed: ${publishPackage.version}${devPackage.version}`
);
publishPackage.version = devPackage.version;
// Extract base version and RC number
const baseVersion = finalVersion.replace(/-rc\.\d+$/, '');
const rcMatch = finalVersion.match(/rc\.(\d+)/);
const rcNumber = rcMatch ? parseInt(rcMatch[1]) : 0;
// For each RC iteration, increment the patch version
// This ensures unique versions in VS Code Marketplace
if (rcNumber > 0) {
const [major, minor, patch] = baseVersion.split('.').map(Number);
finalVersion = `${major}.${minor}.${patch + rcNumber}`;
console.log(
` - RC version mapping: ${devPackage.version}${finalVersion}`
);
} else {
finalVersion = baseVersion;
console.log(
` - RC version mapping: ${devPackage.version}${finalVersion}`
);
}
}
// Check if versions need updating
if (publishPackage.version !== finalVersion) {
console.log(
` - Version sync needed: ${publishPackage.version}${finalVersion}`
);
publishPackage.version = finalVersion;
// Update the source package.publish.json file with the final version
// Update the source package.publish.json file
fs.writeFileSync(
publishPackagePath,
JSON.stringify(publishPackage, null, '\t') + '\n'
);
console.log(` - Updated package.publish.json version to ${finalVersion}`);
console.log(
` - Updated package.publish.json version to ${devPackage.version}`
);
} else {
console.log(` - Versions already in sync: ${finalVersion}`);
console.log(` - Versions already in sync: ${devPackage.version}`);
}
// Copy the (now synced) package.publish.json as package.json
@@ -150,7 +124,8 @@ try {
`cd vsix-build && npx vsce package --no-dependencies`
);
// Use the transformed version for output
// Use the synced version for output
const finalVersion = devPackage.version;
console.log(
`\nYour extension will be packaged to: vsix-build/task-master-${finalVersion}.vsix`
);

View File

@@ -2,7 +2,7 @@
"name": "task-master-hamster",
"displayName": "Taskmaster AI",
"description": "A visual Kanban board interface for Taskmaster projects in VS Code",
"version": "0.23.1",
"version": "0.23.0",
"publisher": "Hamster",
"icon": "assets/icon.png",
"engines": {

View File

@@ -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 | — | — |

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@@ -1,6 +1,6 @@
{
"name": "task-master-ai",
"version": "0.24.0-rc.1",
"version": "0.23.1-rc.0",
"description": "A task management system for ambitious AI-driven development that doesn't overwhelm and confuse Cursor.",
"main": "index.js",
"type": "module",

View File

@@ -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
};
}

View File

@@ -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": [

View File

@@ -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
});

View File

@@ -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

View File

@@ -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');
});
});
});