
Announcing OpenAI-compatible API support for Amazon SageMaker AI endpoints
Quick Answer
Amazon SageMaker AI now supports OpenAI-compatible APIs for real-time inference endpoints, allowing seamless integration with OpenAI SDK, LangChain, and Strands Agents by simply changing the endpoint URL.
Quick Take
This eliminates the need for custom clients or code rewrites, streamlining the deployment process for developers.
Key Points
- OpenAI SDK users can now easily invoke SageMaker AI models.
- No need for custom clients or SigV4 wrappers with this integration.
- Real-time inference endpoints enhance deployment efficiency for developers.
- LangChain and Strands Agents are also supported in this update.
- This change simplifies the workflow for AI model deployment.
Article Excerpt
From source RSS / original summaryToday, Amazon SageMaker AI introduces OpenAI-compatible API support for real-time inference endpoints. If you use the OpenAI SDK, LangChain, or Strands Agents, you can now invoke models on SageMaker AI by changing only your endpoint URL. You don’t need a custom client, a SigV4 wrapper, or code rewrites. Overview With this launch, SageMaker AI endpoints […]
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from AWS Machine Learning
See more →
Building an agentic app deployer with Amazon Bedrock and AWS Lambda
PDI Technologies developed PDI Brew, enabling non-technical employees to create web applications on AWS without developer involvement, leveraging Amazon Bedrock for AI capabilities. This agentic app deployer streamlines internal tool delivery, removing traditional bottlenecks in deployment pipelines.

