Route tasks to the lowest-capability model tier based on complexity.
npx skills add https://github.com/GadaaLabs/claude-code-on-steroids --skill vector-gadaalabs
Please help me install this Agent Skill. Skill: vector Source: https://github.com/GadaaLabs/claude-code-on-steroids/tree/main/skills/vector Command: npx skills add https://github.com/GadaaLabs/claude-code-on-steroids --skill vector-gadaalabs
Efficiently selecting the least capable AI model that can complete a task, reducing unnecessary spend on expensive higher-tier models.
Route a given task to the appropriate model tier based on its complexity
High-intent search queries and answers about installing and using this skill.
Model routing analyzes task complexity and assigns it to the lowest-capability LLM tier that can achieve the result, ensuring you avoid unnecessary spend on expensive higher-tier models for simple requests.
Yes, model tiering rules can be applied consistently across main sessions, subagents, and multi-agent swarms to optimize costs, with main sessions receiving advisory decisions and subagents receiving explicit model assignments.
The best way to route simple tasks is to identify task complexity and direct it to the lowest-capability model tier, such as sending simple tasks to Tier 0 while reserving Tier 3 for complex reasoning.
You can handle routing failures by imposing constraints to ensure safe model usage and providing a fallback mechanism when a specific tier cannot handle the assigned task effectively.
Yes, the model routing process logs routing decisions to maintain transparency, apply tiering rules consistently, and help track cost savings across different model assignments.
nassimbfRoute LLM API tasks to cheaper models based on complexity and budget.
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iliaalOrchestrate multi-agent teams with leader-teammate models and JSON messaging.
xxihRoute LLM requests by complexity and track immutable costs against budgets.
