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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研究方向

先追蹤 Command Code 目前如何為規劃、編輯、auto-accept、YOLO 和自訂 agent 選取模型,接著檢查 CLI 選項剖析,以支援暫時的模型覆寫。完成的標準是:模式預設值、每個 agent 的繫結,以及範例 --model 覆寫都能正常運作,且不會干擾 Explore-Plan-Execute 工作流程。

由索引模型根據 Issue 內容生成。

評估

領域
ai-infra-agents, cli
Issue 類型
功能
難度
5/5
預估耗時
一週以上
活躍度
冷清
描述清晰度
基本清楚
新手友好度
35/100

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