feat(telemetry): Integrate usage telemetry for expand-task, fix return types
This commit integrates AI usage telemetry for the `expand-task` command/tool and resolves issues related to incorrect return type handling and logging.
Key Changes:
1. **Telemetry Integration for `expand-task` (Subtask 77.7):**\n - Applied the standard telemetry pattern to the `expandTask` core logic (`scripts/modules/task-manager/expand-task.js`) and the `expandTaskDirect` wrapper (`mcp-server/src/core/direct-functions/expand-task.js`).\n - AI service calls now pass `commandName` and `outputType`.\n - Core function returns `{ task, telemetryData }`.\n - Direct function correctly extracts `task` and passes `telemetryData` in the MCP response `data` field.\n - Telemetry summary is now displayed in the CLI output for the `expand` command.
2. **Fix AI Service Return Type Handling (`ai-services-unified.js`):**\n - Corrected the `_unifiedServiceRunner` function to properly handle the return objects from provider-specific functions (`generateText`, `generateObject`).\n - It now correctly extracts `providerResponse.text` or `providerResponse.object` into the `mainResult` field based on `serviceType`, resolving the "text.trim is not a function" error encountered during `expand-task`.
3. **Log Cleanup:**\n - Removed various redundant or excessive `console.log` statements across multiple files (as indicated by recent changes) to reduce noise and improve clarity, particularly for MCP interactions.
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@@ -209,7 +209,6 @@ async function analyzeTaskComplexity(options, context = {}) {
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try {
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const role = useResearch ? 'research' : 'main';
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reportLog(`Using AI service with role: ${role}`, 'info');
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fullResponse = await generateTextService({
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prompt,
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@@ -219,11 +218,6 @@ async function analyzeTaskComplexity(options, context = {}) {
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projectRoot
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});
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reportLog(
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'Successfully received text response via AI service',
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'success'
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);
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// --- Stop Loading Indicator (Unchanged) ---
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if (loadingIndicator) {
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stopLoadingIndicator(loadingIndicator);
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