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
Action Steps
- Build an AI agent runtime using Go
- Configure the runtime to route tool calls to cheap models
- Implement a model selection algorithm to optimize model usage
- Test the runtime with different models and workloads
- 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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