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feat(telemetry): Integrate AI usage telemetry into analyze-complexity

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This commit applies the standard telemetry pattern to the analyze-task-complexity command and its corresponding MCP tool.

Key Changes:

1.  Core Logic (scripts/modules/task-manager/analyze-task-complexity.js):
    -   The call to generateTextService now includes commandName: 'analyze-complexity' and outputType.
    -   The full response { mainResult, telemetryData } is captured.
    -   mainResult (the AI-generated text) is used for parsing the complexity report JSON.
    -   If running in CLI mode (outputFormat === 'text'), displayAiUsageSummary is called with the telemetryData.
    -   The function now returns { report: ..., telemetryData: ... }.

2.  Direct Function (mcp-server/src/core/direct-functions/analyze-task-complexity.js):
    -   The call to the core analyzeTaskComplexity function now passes the necessary context for telemetry (commandName, outputType).
    -   The successful response object now correctly extracts coreResult.telemetryData and includes it in the data.telemetryData field returned to the MCP client.
This commit is contained in:
Eyal Toledano
2025-05-08 19:34:00 -04:00
parent 37178ff1b9
commit 04b6a3cb21
6 changed files with 354 additions and 384 deletions
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12
tasks/tasks.json
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@@ -5015,16 +5015,22 @@
"title": "Telemetry Integration for update-subtask-by-id",
"description": "Integrate AI usage telemetry capture and propagation for the update-subtask-by-id functionality.",
"details": "\\\nApply telemetry pattern from telemetry.mdc:\n\n1. **Core (`scripts/modules/task-manager/update-subtask-by-id.js`):**\n * Verify if this function *actually* calls an AI service. If it only appends text, telemetry integration might not apply directly here, but ensure its callers handle telemetry if they use AI.\n * *If it calls AI:* Modify AI service call to include `commandName: \\'update-subtask\\'` and `outputType`.\n * *If it calls AI:* Receive `{ mainResult, telemetryData }`.\n * *If it calls AI:* Return object including `telemetryData`.\n * *If it calls AI:* Handle CLI display via `displayAiUsageSummary` if applicable.\n\n2. **Direct (`mcp-server/src/core/direct-functions/update-subtask-by-id.js`):**\n * *If core calls AI:* Pass `commandName`, `outputType: \\'mcp\\'` to core.\n * *If core calls AI:* Pass `outputFormat: \\'json\\'` if applicable.\n * *If core calls AI:* Receive `{ ..., telemetryData }` from core.\n * *If core calls AI:* Return `{ success: true, data: { ..., telemetryData } }`.\n\n3. **Tool (`mcp-server/src/tools/update-subtask.js`):**\n * Verify `handleApiResult` correctly passes `data.telemetryData` through (if present).\n",
"status": "in-progress",
"status": "done",
"dependencies": [],
"parentTaskId": 77
"parentTaskId": 77,
"parentTask": {
"id": 77,
"title": "Implement AI Usage Telemetry for Taskmaster (with external analytics endpoint)",
"status": "in-progress"
},
"isSubtask": true
},
{
"id": 12,
"title": "Telemetry Integration for analyze-task-complexity",
"description": "Integrate AI usage telemetry capture and propagation for the analyze-task-complexity functionality.",
"details": "\\\nApply telemetry pattern from telemetry.mdc:\n\n1. **Core (`scripts/modules/task-manager/analyze-task-complexity.js`):**\n * Modify AI service call to include `commandName: \\'analyze-complexity\\'` and `outputType`.\n * Receive `{ mainResult, telemetryData }`.\n * Return object including `telemetryData` (perhaps alongside the complexity report data).\n * Handle CLI display via `displayAiUsageSummary` if applicable.\n\n2. **Direct (`mcp-server/src/core/direct-functions/analyze-task-complexity.js`):**\n * Pass `commandName`, `outputType: \\'mcp\\'` to core.\n * Pass `outputFormat: \\'json\\'` if applicable.\n * Receive `{ ..., telemetryData }` from core.\n * Return `{ success: true, data: { ..., telemetryData } }`.\n\n3. **Tool (`mcp-server/src/tools/analyze.js`):**\n * Verify `handleApiResult` correctly passes `data.telemetryData` through.\n",
"status": "pending",
"status": "done",
"dependencies": [],
"parentTaskId": 77
},