| Name | promptflow-azure JSON |
| Version |
1.17.0
JSON |
| download |
| home_page | https://microsoft.github.io/promptflow/ |
| Summary | Prompt flow azure |
| upload_time | 2025-01-06 19:05:45 |
| maintainer | None |
| docs_url | None |
| author | Microsoft Corporation |
| requires_python | !=2.7.*,!=3.0.*,!=3.1.*,!=3.13.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*,>=3.9 |
| license | MIT |
| keywords |
azure
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Prompt flow azure
[](https://pypi.org/project/promptflow-azure/)
[](https://pypi.python.org/pypi/promptflow-azure/)
[](https://pypi.org/project/promptflow-azure/)
[](https://microsoft.github.io/promptflow/reference/pfazure-command-reference.html)
[](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[](https://pypi.org/project/promptflow-azure/)\n[](https://pypi.python.org/pypi/promptflow-azure/)\n[](https://pypi.org/project/promptflow-azure/)\n[](https://microsoft.github.io/promptflow/reference/pfazure-command-reference.html)\n[](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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