CommandCodeAI / CommandCodeAI/command-code

Feature Request: Per-Mode and Per-Agent LLM Routing

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Description

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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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by tracing how Command Code currently selects models for planning, edit, auto-accept, YOLO, and custom agents, then inspect CLI option parsing for a temporary model override. Done means mode defaults, per-agent bindings, and the example --model override all work without disrupting the Explore-Plan-Execute workflow.

Written by the indexing model from the issue text.

Assessment

Domain
ai-infra-agents, cli
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
35/100

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