# Prompt flow azure
[![Python package](https://img.shields.io/pypi/v/promptflow-azure)](https://pypi.org/project/promptflow-azure/)
[![Python](https://img.shields.io/pypi/pyversions/promptflow.svg?maxAge=2592000)](https://pypi.python.org/pypi/promptflow-azure/)
[![PyPI - Downloads](https://img.shields.io/pypi/dm/promptflow-azure)](https://pypi.org/project/promptflow-azure/)
[![CLI](https://img.shields.io/badge/CLI-reference-blue)](https://microsoft.github.io/promptflow/reference/pfazure-command-reference.html)
[![SDK](https://img.shields.io/badge/SDK-reference-blue)](https://microsoft.github.io/promptflow/reference/python-library-reference/promptflow-azure/promptflow.azure.html)
## Introduction
Azure Machine Learning prompt flow is a development tool designed to streamline the entire development cycle of AI applications powered by Large Language Models (LLMs). As the momentum for LLM-based AI applications continues to grow across the globe, Azure Machine Learning prompt flow provides a comprehensive solution that simplifies the process of prototyping, experimenting, iterating, and deploying your AI applications.
The `promptflow-azure` package help user to leverage the cloud version of [prompt flow in Azure AI](https://learn.microsoft.com/en-us/azure/machine-learning/prompt-flow/overview-what-is-prompt-flow?view=azureml-api-2), which provides below features:
- Create executable flows that link LLMs, prompts, and Python tools through a visualized graph or flex flow code.
- Debug, share, and iterate your flows with ease through team collaboration.
- Evaluate their performance through large-scale batch run.
## ChangeLog
Reach the full change log [here](https://microsoft.github.io/promptflow/reference/changelog/promptflow-azure.html).
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"description": "# Prompt flow azure\n\n[![Python package](https://img.shields.io/pypi/v/promptflow-azure)](https://pypi.org/project/promptflow-azure/)\n[![Python](https://img.shields.io/pypi/pyversions/promptflow.svg?maxAge=2592000)](https://pypi.python.org/pypi/promptflow-azure/)\n[![PyPI - Downloads](https://img.shields.io/pypi/dm/promptflow-azure)](https://pypi.org/project/promptflow-azure/)\n[![CLI](https://img.shields.io/badge/CLI-reference-blue)](https://microsoft.github.io/promptflow/reference/pfazure-command-reference.html)\n[![SDK](https://img.shields.io/badge/SDK-reference-blue)](https://microsoft.github.io/promptflow/reference/python-library-reference/promptflow-azure/promptflow.azure.html)\n\n## Introduction\n\nAzure Machine Learning prompt flow is a development tool designed to streamline the entire development cycle of AI applications powered by Large Language Models (LLMs). As the momentum for LLM-based AI applications continues to grow across the globe, Azure Machine Learning prompt flow provides a comprehensive solution that simplifies the process of prototyping, experimenting, iterating, and deploying your AI applications.\n\nThe `promptflow-azure` package help user to leverage the cloud version of [prompt flow in Azure AI](https://learn.microsoft.com/en-us/azure/machine-learning/prompt-flow/overview-what-is-prompt-flow?view=azureml-api-2), which provides below features:\n\n- Create executable flows that link LLMs, prompts, and Python tools through a visualized graph or flex flow code.\n- Debug, share, and iterate your flows with ease through team collaboration.\n- Evaluate their performance through large-scale batch run.\n\n\n## ChangeLog\n\nReach the full change log [here](https://microsoft.github.io/promptflow/reference/changelog/promptflow-azure.html).\n\n",
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