AI · Official
AWS Shows How to Route Coding Agent Requests to Different Models on Bedrock
Amazon AWS Machine Learning blog ·
At a glance
AWS showed how to send coding agent requests to the AI model that fits each task. The example uses NVIDIA's open-source NeMo Switchyard and a LiteLLM gateway deployed in an AWS account. It suggests comparing routing by the cost of each solved task.
Key points
- Coding agents finish work through many model calls, such as reading files, editing code, and running tests.
- The price per token alone does not show what a whole task costs.
- The article recommends judging routing by the cost per solved task.
- The example is deployed with AWS CDK and is experimental, so it should be tested in a non-production account first.
Why it matters
It shows developers and companies a way to compare model choices by real cost and success rate when using coding agents.
Original source
Route coding agent requests to the right model on Amazon Bedrock with NVIDIA NeMo Switchyard
Amazon AWS Machine Learning blog · Nov 14, 07:30 KST
Read on Amazon AWS Machine Learning blog ↗AI summarized the original article. Check the original for accuracy. Copyright belongs to Amazon AWS Machine Learning blog.
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