AWS Transform now supports model-to-model migration assessment for generative AI workloads

AWS Transform Model-to-Model Migration

AWS Transform now offers a model-to-model migration custom transformation that assesses your generative AI workloads and produces a comprehensive migration plan for moving from third-party providers to Amazon Bedrock. This managed custom transformation helps organizations consolidate their AI workloads on AWS to gain IAM-based security, VPC endpoint isolation, prompt caching, Amazon Bedrock Guardrails, and unified operational tooling through Amazon CloudWatch.

The transformation supports migrations from:

• OpenAI
• Google Gemini
• Direct Anthropic SDK usage
• Open-source models via LiteLLM or Ollama

It handles:

• Direct SDK integrations
• Framework-wrapped patterns such as LangChain and LlamaIndex
• Agentic architectures including CrewAI and LangGraph
• Multi-provider routing layers

Intelligent cost optimization features include:

• Tiered model routing recommendations
• Prompt caching analysis
• Model lifecycle awareness

What to do

• Install the ATX CLI
• Run the make-genai-model-migration custom transformation against your codebase

AWS Transform model-to-model migration is available in all AWS Regions where AWS Transform is offered, at no additional charge beyond standard AWS Transform pricing. To learn more, see the AWS Transform Custom Transformations documentation and the announcement blog.

If you need further guidance on AWS, our experts are available at AWS@westloop.io. You may also reach us by submitting the Contact Us form.