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1 Commits
extension-
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extension-
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
5df253e085 |
@@ -6,12 +6,8 @@
|
||||
"extension": "0.23.0"
|
||||
},
|
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"changesets": [
|
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"fuzzy-brooms-mate",
|
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"fuzzy-words-count",
|
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"honest-steaks-check",
|
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"tender-trams-refuse",
|
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"upset-ants-return",
|
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"vast-sites-leave",
|
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"wide-actors-report"
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"vast-sites-leave"
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]
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}
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}
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@@ -1,7 +0,0 @@
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---
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"task-master-ai": minor
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---
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|
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Add GPT-5 support with proper parameter handling
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- Added GPT-5 model to supported models configuration with SWE score of 0.749
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73
CHANGELOG.md
73
CHANGELOG.md
@@ -1,78 +1,5 @@
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# task-master-ai
|
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|
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## 0.24.0-rc.1
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|
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### Minor Changes
|
||||
|
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- [#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
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- Added automatic codebase analysis for Claude Code provider in `parse-prd`, `expand-task`, and `analyze-complexity` commands
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- 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
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- 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
|
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|
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## New Claude Code Agents
|
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|
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Added specialized agents for Claude Code users to enable parallel task execution, intelligent task orchestration, and quality assurance:
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|
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### task-orchestrator
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Coordinates and manages the execution of Task Master tasks with intelligent dependency analysis:
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- Analyzes task dependencies to identify parallelizable work
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- Deploys multiple task-executor agents for concurrent execution
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- Monitors task completion and updates the dependency graph
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- Automatically identifies and starts newly unblocked tasks
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|
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### task-executor
|
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|
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Handles the actual implementation of individual tasks:
|
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- Executes specific tasks identified by the orchestrator
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- Works on concrete implementation rather than planning
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- Updates task status and logs progress
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- Can work in parallel with other executors on independent tasks
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|
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### task-checker
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|
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Verifies that completed tasks meet their specifications:
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- Reviews tasks marked as 'review' status
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- Validates implementation against requirements
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- Runs tests and checks for best practices
|
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- Ensures quality before marking tasks as 'done'
|
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|
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## Installation
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|
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When using the Claude profile (`task-master rules add claude`), the agents are automatically installed to `.claude/agents/` directory.
|
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|
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## Usage Example
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|
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```bash
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# In Claude Code, after initializing a project with tasks:
|
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|
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# Use task-orchestrator to analyze and coordinate work
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# The orchestrator will:
|
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# 1. Check task dependencies
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# 2. Identify tasks that can run in parallel
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# 3. Deploy executors for available work
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# 4. Monitor progress and deploy new executors as tasks complete
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|
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# Use task-executor for specific task implementation
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# When the orchestrator identifies task 2.3 needs work:
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# The executor will implement that specific task
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```
|
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|
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## Benefits
|
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- **Parallel Execution**: Multiple independent tasks can be worked on simultaneously
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- **Intelligent Scheduling**: Orchestrator understands dependencies and optimizes execution order
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- **Separation of Concerns**: Planning (orchestrator) is separated from execution (executor)
|
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- **Progress Tracking**: Real-time updates as tasks are completed
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- **Automatic Progression**: As tasks complete, newly unblocked tasks are automatically started
|
||||
|
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### 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
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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.
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|
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## 0.23.1-rc.0
|
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|
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### Patch Changes
|
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@@ -3,7 +3,3 @@
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## Task Master AI Instructions
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**Import Task Master's development workflow commands and guidelines, treat as if import is in the main CLAUDE.md file.**
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@./.taskmaster/CLAUDE.md
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|
||||
## Changeset Guidelines
|
||||
|
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- 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
|
||||
|
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## 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)]:
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- task-master-ai@0.24.0-rc.1
|
||||
|
||||
## 0.23.0
|
||||
|
||||
### Minor Changes
|
||||
|
||||
@@ -3,7 +3,7 @@
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||||
"private": true,
|
||||
"displayName": "TaskMaster",
|
||||
"description": "A visual Kanban board interface for TaskMaster projects in VS Code",
|
||||
"version": "0.23.1-rc.0",
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||||
"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",
|
||||
|
||||
@@ -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`
|
||||
);
|
||||
|
||||
@@ -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": {
|
||||
|
||||
@@ -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 | — | — |
|
||||
|
||||
@@ -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",
|
||||
|
||||
@@ -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
|
||||
};
|
||||
}
|
||||
|
||||
|
||||
@@ -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": [
|
||||
|
||||
@@ -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
|
||||
});
|
||||
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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');
|
||||
});
|
||||
});
|
||||
});
|
||||
Reference in New Issue
Block a user