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CommandLyne Guides

Step-by-step resources to help you deploy securely, govern your AI usage, and build automated workflows across your organization.

Dynamic Routing

Let CommandLyne pick the best model per task on quality, speed and cost, covering routing strategies, configuration and how routing decides.

Overview

Dynamic Routing allows CommandLyne to automatically choose the best AI model for each task based on quality, speed, and cost.

Core Configuration

  1. 1

    Enable Dynamic Routing

    This is enabled by default in the guide.

  2. 2

    Auto-upgrade on negative feedback

    Allows the agent to switch to a stronger model if the response is unsatisfactory.

Routing Strategies

  1. 1

    Balanced

    Mixes quality, speed, and cost.

  2. 2

    Cost-first

    Uses the lowest-cost model that meets basic quality.

  3. 3

    Quality-first

    Uses a more advanced model for better output.

How Routing Works

    • Complex tasks use higher-intelligence models.
    • Simple tasks use lower-cost models.
    • If a model fails, CommandLyne can reroute requests to another available model.

Save Changes

Scroll down and click Save after making changes.

Need help setting up?

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