2 Commits

Author	SHA1	Message	Date
Eyal Toledano	78a5376796	fix(mcp): prevents the mcp from failing due to the newly introduced ConfigurationError object thrown if .taskmasterconfig is not present. I'll need to implement MCP tools for model to manage models from MCP and be able to create it.	2025-04-22 16:09:33 -04:00
Eyal Toledano	d46547a80f	refactor(config): Standardize env var access and config getters ... This commit focuses on standardizing configuration and API key access patterns across key modules as part of subtask 61.34. Key changes include: - Refactored `ai-services.js` to remove global AI clients and use `resolveEnvVariable` for API key checks. Client instantiation now relies on `getAnthropicClient`/`getPerplexityClient` accepting a session object. - Refactored `task-manager.js` (`analyzeTaskComplexity` function) to use the unified `generateTextService` from `ai-services-unified.js`, removing direct AI client calls. - Replaced direct `process.env` access for model parameters and other configurations (`PERPLEXITY_MODEL`, `CONFIG.*`) in `task-manager.js` with calls to the appropriate getters from `config-manager.js` (e.g., `getResearchModelId(session)`, `getMainMaxTokens(session)`). - Ensured `utils.js` (`resolveEnvVariable`) correctly handles potentially undefined session objects. - Updated function signatures where necessary to propagate the `session` object for correct context-aware configuration/key retrieval. This moves towards the goal of using `ai-client-factory.js` and `ai-services-unified.js` as the standard pattern for AI interactions and centralizing configuration management through `config-manager.js`.	2025-04-21 17:48:30 -04:00