4cf7e8a74a
Refactors MCP server logging and updates testing infrastructure.
- MCP Server:
- Replaced manual logger wrappers with centralized `createLogWrapper` utility.
- Updated direct function calls to use `{ session, mcpLog }` context.
- Removed deprecated `model` parameter from analyze, expand-all, expand-task tools.
- Adjusted MCP tool import paths and parameter descriptions.
- Documentation:
- Modified `docs/configuration.md`.
- Modified `docs/tutorial.md`.
- Testing:
- E2E Script (`run_e2e.sh`):
- Removed `set -e`.
- Added LLM analysis function (`analyze_log_with_llm`) & integration.
- Adjusted test run directory creation timing.
- Added debug echo statements.
- Deleted Unit Tests: Removed `ai-client-factory.test.js`, `ai-client-utils.test.js`, `ai-services.test.js`.
- Modified Fixtures: Updated `scripts/task-complexity-report.json`.
- Dev Scripts:
- Modified `scripts/dev.js`.
102 lines
4.2 KiB
Markdown
102 lines
4.2 KiB
Markdown
# Configuration
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Taskmaster uses two primary methods for configuration:
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1. **`.taskmasterconfig` File (Project Root - Recommended for most settings)**
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- This JSON file stores most configuration settings, including AI model selections, parameters, logging levels, and project defaults.
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- **Location:** This file is created in the root directory of your project when you run the `task-master models --setup` interactive setup. You typically do this during the initialization sequence. Do not manually edit this file beyond adjusting Temperature and Max Tokens depending on your model.
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- **Management:** Use the `task-master models --setup` command (or `models` MCP tool) to interactively create and manage this file. You can also set specific models directly using `task-master models --set-<role>=<model_id>`, adding `--ollama` or `--openrouter` flags for custom models. Manual editing is possible but not recommended unless you understand the structure.
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- **Example Structure:**
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```json
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{
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"models": {
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"main": {
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"provider": "anthropic",
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"modelId": "claude-3-7-sonnet-20250219",
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"maxTokens": 64000,
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"temperature": 0.2
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},
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"research": {
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"provider": "perplexity",
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"modelId": "sonar-pro",
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"maxTokens": 8700,
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"temperature": 0.1
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},
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"fallback": {
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"provider": "anthropic",
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"modelId": "claude-3-5-sonnet",
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"maxTokens": 64000,
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"temperature": 0.2
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}
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},
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"global": {
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"logLevel": "info",
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"debug": false,
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"defaultSubtasks": 5,
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"defaultPriority": "medium",
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"projectName": "Your Project Name",
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"ollamaBaseUrl": "http://localhost:11434/api",
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"azureOpenaiBaseUrl": "https://your-endpoint.openai.azure.com/"
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}
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}
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```
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2. **Environment Variables (`.env` file or MCP `env` block - For API Keys Only)**
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- Used **exclusively** for sensitive API keys and specific endpoint URLs.
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- **Location:**
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- For CLI usage: Create a `.env` file in your project root.
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- For MCP/Cursor usage: Configure keys in the `env` section of your `.cursor/mcp.json` file.
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- **Required API Keys (Depending on configured providers):**
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- `ANTHROPIC_API_KEY`: Your Anthropic API key.
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- `PERPLEXITY_API_KEY`: Your Perplexity API key.
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- `OPENAI_API_KEY`: Your OpenAI API key.
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- `GOOGLE_API_KEY`: Your Google API key.
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- `MISTRAL_API_KEY`: Your Mistral API key.
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- `AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key (also requires `AZURE_OPENAI_ENDPOINT`).
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- `OPENROUTER_API_KEY`: Your OpenRouter API key.
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- `XAI_API_KEY`: Your X-AI API key.
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- **Optional Endpoint Overrides (in .taskmasterconfig):**
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- `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key.
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- `OLLAMA_BASE_URL`: Override the default Ollama API URL (Default: `http://localhost:11434/api`).
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**Important:** Settings like model ID selections (`main`, `research`, `fallback`), `maxTokens`, `temperature`, `logLevel`, `defaultSubtasks`, `defaultPriority`, and `projectName` are **managed in `.taskmasterconfig`**, not environment variables.
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## Example `.env` File (for API Keys)
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```
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# Required API keys for providers configured in .taskmasterconfig
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ANTHROPIC_API_KEY=sk-ant-api03-your-key-here
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PERPLEXITY_API_KEY=pplx-your-key-here
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# OPENAI_API_KEY=sk-your-key-here
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# GOOGLE_API_KEY=AIzaSy...
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# etc.
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# Optional Endpoint Overrides
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# AZURE_OPENAI_ENDPOINT=https://your-azure-endpoint.openai.azure.com/
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# OLLAMA_BASE_URL=http://custom-ollama-host:11434/api
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```
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## Troubleshooting
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### Configuration Errors
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- If Task Master reports errors about missing configuration or cannot find `.taskmasterconfig`, run `task-master models --setup` in your project root to create or repair the file.
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- Ensure API keys are correctly placed in your `.env` file (for CLI) or `.cursor/mcp.json` (for MCP) and are valid for the providers selected in `.taskmasterconfig`.
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### If `task-master init` doesn't respond:
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Try running it with Node directly:
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```bash
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node node_modules/claude-task-master/scripts/init.js
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```
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Or clone the repository and run:
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```bash
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git clone https://github.com/eyaltoledano/claude-task-master.git
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cd claude-task-master
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node scripts/init.js
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```
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