This commit introduces a standardized pattern for capturing and propagating AI usage telemetry (cost, tokens, model used) across the Task Master stack and applies it to the 'add-task' functionality. Key changes include: - **Telemetry Pattern Definition:** - Added defining the integration pattern for core logic, direct functions, MCP tools, and CLI commands. - Updated related rules (, , Usage: mcp [OPTIONS] COMMAND [ARGS]... MCP development tools ╭─ Options ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮ │ --help Show this message and exit. │ ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ ╭─ Commands ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮ │ version Show the MCP version. │ │ dev Run a MCP server with the MCP Inspector. │ │ run Run a MCP server. │ │ install Install a MCP server in the Claude desktop app. │ ╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯, , ) to reference the new telemetry rule. - **Core Telemetry Implementation ():** - Refactored the unified AI service to generate and return a object alongside the main AI result. - Fixed an MCP server startup crash by removing redundant local loading of and instead using the imported from for cost calculations. - Added to the object. - ** Integration:** - Modified (core) to receive from the AI service, return it, and call the new UI display function for CLI output. - Updated to receive from the core function and include it in the payload of its response. - Ensured (MCP tool) correctly passes the through via . - Updated to correctly pass context (, ) to the core function and rely on it for CLI telemetry display. - **UI Enhancement:** - Added function to to show telemetry details in the CLI. - **Project Management:** - Added subtasks 77.6 through 77.12 to track the rollout of this telemetry pattern to other AI-powered commands (, , , , , , ). This establishes the foundation for tracking AI usage across the application.
33 lines
698 B
Plaintext
33 lines
698 B
Plaintext
{
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"models": {
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"main": {
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"provider": "anthropic",
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"modelId": "claude-3-7-sonnet-20250219",
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"maxTokens": 100000,
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"temperature": 0.2
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},
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"research": {
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"provider": "perplexity",
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"modelId": "sonar-pro",
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"maxTokens": 8700,
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"temperature": 0.1
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},
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"fallback": {
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"provider": "anthropic",
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"modelId": "claude-3-7-sonnet-20250219",
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"maxTokens": 120000,
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"temperature": 0.2
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}
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},
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"global": {
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"userId": "1234567890",
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"logLevel": "info",
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"debug": false,
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"defaultSubtasks": 5,
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"defaultPriority": "medium",
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"projectName": "Taskmaster",
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"ollamaBaseUrl": "http://localhost:11434/api",
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"azureOpenaiBaseUrl": "https://your-endpoint.openai.azure.com/"
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}
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}
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