I built an AI agent runtime that routes each step to a different model

📰 Dev.to · Abhishek Tripathi

Learn how to build an AI agent runtime that optimizes model usage by routing each step to a different model, reducing costs and improving efficiency

advanced Published 12 Apr 2026
Action Steps
  1. Build an AI agent runtime using Go
  2. Configure the runtime to route tool calls to cheap models
  3. Implement a model selection algorithm to optimize model usage
  4. Test the runtime with different models and workloads
  5. Deploy the runtime in a cloud environment to leverage scalability
Who Needs to Know This

This project is ideal for AI engineers and researchers working on model optimization and deployment, as it showcases a novel approach to reducing costs and improving efficiency

Key Insight

💡 Using a runtime to optimize model usage can significantly reduce costs and improve efficiency in AI deployments

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🤖 Built an AI agent runtime that routes each step to a different model, reducing costs and improving efficiency! 💡
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