CommandCodeAI / CommandCodeAI/command-code
Feature Request: Per-Mode and Per-Agent LLM Routing
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描述
Feature Description
Mode-Specific Model Routing: Users can define a default model for each of Command Code's core operational modes.
- Planning Mode (planning): Maps to high-parameter, reasoning-heavy models (e.g., Deepseek V4 Pro, GLM 5.1) for complex architectural design, system breakdown, and step-by-step logic generation.
- Edit Mode (edit): Maps to fast, highly capable coding models optimized for syntax and refactoring to execute the plan quickly.
- Auto-Accept Mode (auto-accept): Maps to ultra-fast, low-latency models for rapid, low-risk changes (e.g., fixing linting errors, adding docstrings) where developer oversight is bypassed.
- YOLO Mode (yolo): Maps to high-context, highly capable models authorized to make sweeping, project-wide changes with deep contextual understanding.
- Custom Agent Model Binding: Users creating specialized, domain-specific agents within Command Code can lock a specific model to that agent.
- CLI Flag Overrides: The ability to temporarily override the default model for a specific session or command using a flag (e.g., command-code --plan --model deepseek-v4-pro).
Use Case
Explore-Plan-Execute Workflow
- Launching off multiple agents to explore legacy repo, each using lower cost and faster agents with big context windows
- Planning with SOTA OSS models with high reasoning capabilities
- Execute plans proposed by the Planning model using a cost effective model
Additional Context
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How important is this to you?
Important for my workflow
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调研方向
首先跟踪 Command Code 当前如何为规划、编辑、auto-accept、YOLO 和自定义 agent 选择模型,然后检查 CLI 选项解析,以实现临时模型覆盖。完成的标准是:模式默认值、每个 agent 的绑定以及示例 --model 覆盖都能正常工作,且不会干扰 Explore-Plan-Execute 工作流。
由索引模型根据 Issue 内容生成。
评估
- 领域
- ai-infra-agents, cli
- Issue 类型
- 功能
- 难度
- 5/5
- 预计耗时
- 一周以上
- 活跃度
- 冷清
- 描述清晰度
- 基本清楚
- 新手友好度
- 35/100