feat(telemetry): Integrate telemetry for expand-all, aggregate results

This commit implements AI usage telemetry for the `expand-all-tasks` command/tool and refactors its CLI output for clarity and consistency.

Key Changes:

1.  **Telemetry Integration for `expand-all-tasks` (Subtask 77.8):**\n    -   The `expandAllTasks` core logic (`scripts/modules/task-manager/expand-all-tasks.js`) now calls the `expandTask` function for each eligible task and collects the individual `telemetryData` returned.\n    -   A new helper function `_aggregateTelemetry` (in `utils.js`) is used to sum up token counts and costs from all individual expansions into a single `telemetryData` object for the entire `expand-all` operation.\n    -   The `expandAllTasksDirect` wrapper (`mcp-server/src/core/direct-functions/expand-all-tasks.js`) now receives and passes this aggregated `telemetryData` in the MCP response.\n    -   For CLI usage, `displayAiUsageSummary` is called once with the aggregated telemetry.

2.  **Improved CLI Output for `expand-all`:**\n    -   The `expandAllTasks` core function now handles displaying a final "Expansion Summary" box (showing Attempted, Expanded, Skipped, Failed counts) directly after the aggregated telemetry summary.\n    -   This consolidates all summary output within the core function for better flow and removes redundant logging from the command action in `scripts/modules/commands.js`.\n    -   The summary box border is green for success and red if any expansions failed.

3.  **Code Refinements:**\n    -   Ensured `chalk` and `boxen` are imported in `expand-all-tasks.js` for the new summary box.\n    -   Minor adjustments to logging messages for clarity.
This commit is contained in:
Eyal Toledano
2025-05-08 18:22:00 -04:00
parent ab84afd036
commit 21c3cb8cda
24 changed files with 1693 additions and 56 deletions

View File

@@ -49,3 +49,35 @@ Testing should verify both the functionality and user experience of the suggest-
- Test with extremely large numbers of existing tasks
Manually verify the command produces contextually appropriate suggestions that align with the project's current state and needs.
# Subtasks:
## 1. Design data collection mechanism for existing tasks [pending]
### Dependencies: None
### Description: Create a module to collect and format existing task data from the system for AI processing
### Details:
Implement a function that retrieves all existing tasks from storage, formats them appropriately for AI context, and handles edge cases like empty task lists or corrupted data. Include metadata like task status, dependencies, and creation dates to provide rich context for suggestions.
## 2. Implement AI integration for task suggestions [pending]
### Dependencies: 52.1
### Description: Develop the core functionality to generate task suggestions using AI based on existing tasks
### Details:
Create an AI prompt template that effectively communicates the existing task context and request for suggestions. Implement error handling for API failures, rate limiting, and malformed responses. Include parameters for controlling suggestion quantity and specificity.
## 3. Build interactive CLI interface for suggestions [pending]
### Dependencies: 52.2
### Description: Create the command-line interface for requesting and displaying task suggestions
### Details:
Design a user-friendly CLI command structure with appropriate flags for customization. Implement progress indicators during AI processing and format the output of suggestions in a clear, readable format. Include help text and examples in the command documentation.
## 4. Implement suggestion selection and task creation [pending]
### Dependencies: 52.3
### Description: Allow users to interactively select suggestions to convert into actual tasks
### Details:
Create an interactive selection interface where users can review suggestions, select which ones to create as tasks, and optionally modify them before creation. Implement batch creation capabilities and validation to ensure new tasks meet system requirements.
## 5. Add configuration options and flag handling [pending]
### Dependencies: 52.3, 52.4
### Description: Implement various configuration options and command flags for customizing suggestion behavior
### Details:
Create a comprehensive set of command flags for controlling suggestion quantity, specificity, format, and other parameters. Implement persistent configuration options that users can set as defaults. Document all available options and provide examples of common usage patterns.