Available in Azure Machine Learning Studio, Azure AI Studio and locally on your development laptop, prompt flow is a development tool designed to streamline the entire development cycle of AI applications powered by LLMs (Large Language Models). Prompt flow makes the prompts stand front and center instead of obfuscating them or burying them deep in abstraction layers as other tools do. This approach allows developers not only to build orchestration but also evaluate and iterate over their prompts the same way they do over code in the traditional software development cycle.
After development, prompt flow allows developers to conveniently deploy their application to what Azure Machine Learning refers to as an online endpoint. Such an endpoint loads the prompt flow behind a REST API (Application Programming Interfaces) and executes it to respond to inference requests. In most cases, this is the easiest way to deploy the solution to production because Microsoft Azure is then responsible for making it highly available and secure. However, in some cases, you might want to take on take on the deployment of the prompt flow. Perhaps you want more granularity than a managed service inherently provides, perhaps you already have Kubernetes based CI/CD (continuous integration and continuous delivery) pipeline to which you want to add…