feat(telemetry): Integrate AI usage telemetry into parse-prd

Implements AI usage telemetry capture and propagation for the  command and MCP tool, following the established telemetry pattern.

Key changes:

-   **Core ():**
    -   Modified the  call to include  and .
    -   Updated to receive  from .
    -   Adjusted to return an object .
    -   Added a call to  to show telemetry data in the CLI output when not in MCP mode.

-   **Direct Function ():**
    -   Updated the call to the core  function to pass , , and .
    -   Modified to correctly handle the new return structure from the core function.
    -   Ensures  received from the core function is included in the  field of the successful MCP response.

-   **MCP Tool ():**
    -   No changes required; existing  correctly passes through the  object containing .

-   **CLI Command ():**
    -   The  command's action now relies on the core  function to handle CLI success messages and telemetry display.

This ensures that AI usage for the  functionality is tracked and can be displayed or logged as appropriate for both CLI and MCP interactions.

tasks/task_077.txt

@@ -24,7 +24,7 @@
 
 
 # Subtasks:
-## 1. Implement telemetry utility and data collection [in-progress]
+## 1. Implement telemetry utility and data collection [done]
 ### Dependencies: None
 ### Description: Create the logAiUsage utility in ai-services.js that captures all required telemetry data fields
 ### Details:
@@ -96,7 +96,7 @@ Implement HTTPS POST request functionality to securely send the telemetry payloa
 ### Details:
 Design and implement a clear privacy notice explaining what data is collected and how it's used. Create a user consent prompt during initial installation/setup that requires explicit opt-in. Store the consent status in the .taskmasterconfig file and respect this setting throughout the application.
 
-## 4. Integrate telemetry into Taskmaster commands [in-progress]
+## 4. Integrate telemetry into Taskmaster commands [done]
 ### Dependencies: 77.1, 77.3
 ### Description: Integrate the telemetry utility across all relevant Taskmaster commands
 ### Details:
@@ -107,13 +107,13 @@ Modify each Taskmaster command (expand, parse-prd, research, etc.) to call the l
 Successfully integrated telemetry calls into `addTask` (core) and `addTaskDirect` (MCP) functions by passing `commandName` and `outputType` parameters to the telemetry system. The `ai-services-unified.js` module now logs basic telemetry data, including calculated cost information, whenever the `add-task` command or tool is invoked. This integration respects user consent settings and maintains performance standards.
 </info added on 2025-05-06T17:57:13.980Z>
 
-## 5. Implement usage summary display [pending]
+## 5. Implement usage summary display [done]
 ### Dependencies: 77.1, 77.4
 ### Description: Create an optional feature to display AI usage summary in the CLI output
 ### Details:
 Develop functionality to display a concise summary of AI usage (tokens used, estimated cost) directly in the CLI output after command execution. Make this feature configurable through Taskmaster settings. Ensure the display is formatted clearly and doesn't clutter the main command output.
 
-## 6. Telemetry Integration for parse-prd [pending]
+## 6. Telemetry Integration for parse-prd [done]
 ### Dependencies: None
 ### Description: Integrate AI usage telemetry capture and propagation for the parse-prd functionality.
 ### Details:
@@ -136,7 +136,7 @@ Apply telemetry pattern from telemetry.mdc:
     *   Verify `handleApiResult` correctly passes `data.telemetryData` through.
 
 
-## 7. Telemetry Integration for expand-task [pending]
+## 7. Telemetry Integration for expand-task [in-progress]
 ### Dependencies: None
 ### Description: Integrate AI usage telemetry capture and propagation for the expand-task functionality.
 ### Details: