fix: ensure API key detection properly reads .env in MCP context
Problem: - Task Master model configuration wasn't properly checking for API keys in the project's .env file when running through MCP - The isApiKeySet function was only checking session.env and process.env but not inspecting the .env file directly - This caused incorrect API key status reporting in MCP tools even when keys were properly set in .env Solution: - Modified resolveEnvVariable function in utils.js to properly read from .env file at projectRoot - Updated isApiKeySet to correctly pass projectRoot to resolveEnvVariable - Enhanced the key detection logic to have consistent behavior between CLI and MCP contexts - Maintains the correct precedence: session.env → .env file → process.env Testing: - Verified working correctly with both MCP and CLI tools - API keys properly detected in .env file in both contexts - Deleted .cursor/mcp.json to confirm introspection of .env as fallback works
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@@ -1,31 +1,31 @@
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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": 100000,
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"temperature": 0.2
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},
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"research": {
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"provider": "xai",
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"modelId": "grok-3",
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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-20241022",
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"maxTokens": 120000,
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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": "Taskmaster",
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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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"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": 100000,
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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-20241022",
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"maxTokens": 120000,
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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": "Taskmaster",
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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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