📄 中文摘要
通过自动化模型选择，作者不再为每个任务手动决定使用哪个模型。一个路由层会根据任务类型自动选择合适的模型，例如，对于文件读取任务使用 DeepSeek，对于代码重构任务根据复杂性选择不同模型，对于代码审查则使用 GPT-4o，而架构决策则选择 Claude Sonnet。这样的自动化使得作者能够专注于工作，而无需再考虑模型选择的细节。
我自动化了我的 LLM 模型选择，从此再也没有回头
出处: I Automated My LLM Model Selection and Never Looked Back
发布: 2026年3月26日
📄 English Summary
I Automated My LLM Model Selection and Never Looked Back
The author has automated the model selection process for various tasks, eliminating the need for manual decision-making. A routing layer classifies each task and selects the appropriate model based on the task type. For instance, it uses DeepSeek for file reading, chooses between DeepSeek and Sonnet for code refactoring depending on complexity, employs GPT-4o for code reviews, and selects Claude Sonnet for architectural decisions. This automation allows the author to focus on work without the distraction of model selection.