fix: package-lock.json

.changeset/huge-moose-prove.md

@@ -0,0 +1,8 @@
+---
+"task-master-ai": minor
+---
+
+Can now configure baseURL of provider with `<PROVIDER>_BASE_URL`
+
+- For example:
+  - `OPENAI_BASE_URL`

.changeset/tiny-dogs-change.md

@@ -0,0 +1,5 @@
+---
+"task-master-ai": patch
+---
+
+Improve mcp keys check in cursor

docs/configuration.md

@@ -72,6 +72,7 @@ Taskmaster uses two primary methods for configuration:
   - `XAI_API_KEY`: Your X-AI API key.
 - **Optional Endpoint Overrides:**
   - **Per-role `baseURL` in `.taskmasterconfig`:** You can add a `baseURL` property to any model role (`main`, `research`, `fallback`) to override the default API endpoint for that provider. If omitted, the provider's standard endpoint is used.
+  - **Environment Variable Overrides (`<PROVIDER>_BASE_URL`):** For greater flexibility, especially with third-party services, you can set an environment variable like `OPENAI_BASE_URL` or `MISTRAL_BASE_URL`. This will override any `baseURL` set in the configuration file for that provider. This is the recommended way to connect to OpenAI-compatible APIs.
   - `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key (can also be set as `baseURL` for the Azure model role).
   - `OLLAMA_BASE_URL`: Override the default Ollama API URL (Default: `http://localhost:11434/api`).
   - `VERTEX_PROJECT_ID`: Your Google Cloud project ID for Vertex AI. Required when using the 'vertex' provider.
@@ -131,13 +132,14 @@ PERPLEXITY_API_KEY=pplx-your-key-here
 # etc.
 
 # Optional Endpoint Overrides
+# Use a specific provider's base URL, e.g., for an OpenAI-compatible API
+# OPENAI_BASE_URL=https://api.third-party.com/v1
+#
 # AZURE_OPENAI_ENDPOINT=https://your-azure-endpoint.openai.azure.com/
 # OLLAMA_BASE_URL=http://custom-ollama-host:11434/api
 
 # Google Vertex AI Configuration (Required if using 'vertex' provider)
 # VERTEX_PROJECT_ID=your-gcp-project-id
-# VERTEX_LOCATION=us-central1
-# GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account-credentials.json
 ```
 
 ## Troubleshooting

scripts/modules/config-manager.js

@@ -571,10 +571,11 @@ function getMcpApiKeyStatus(providerName, projectRoot = null) {
 		const mcpConfigRaw = fs.readFileSync(mcpConfigPath, 'utf-8');
 		const mcpConfig = JSON.parse(mcpConfigRaw);
 
-		const mcpEnv = mcpConfig?.mcpServers?.['taskmaster-ai']?.env;
+		const mcpEnv =
+			mcpConfig?.mcpServers?.['task-master-ai']?.env ||
+			mcpConfig?.mcpServers?.['taskmaster-ai']?.env;
 		if (!mcpEnv) {
-			// console.warn(chalk.yellow('Warning: Could not find taskmaster-ai env in mcp.json.'));
+			return false;
-			return false; // Structure missing
 		}
 
 		let apiKeyToCheck = null;
@@ -782,9 +783,15 @@ function getAllProviders() {
 
 function getBaseUrlForRole(role, explicitRoot = null) {
 	const roleConfig = getModelConfigForRole(role, explicitRoot);
-	return roleConfig && typeof roleConfig.baseURL === 'string'
+	if (roleConfig && typeof roleConfig.baseURL === 'string') {
-		? roleConfig.baseURL
+		return roleConfig.baseURL;
-		: undefined;
+	}
+	const provider = roleConfig?.provider;
+	if (provider) {
+		const envVarName = `${provider.toUpperCase()}_BASE_URL`;
+		return resolveEnvVariable(envVarName, null, explicitRoot);
+	}
+	return undefined;
 }
 
 export {