# Prompt flow devkit
[](https://pypi.org/project/promptflow-devkit/)
[](https://pypi.python.org/pypi/promptflow-devkit/)
[](https://pypi.org/project/promptflow-devkit/)
[](https://microsoft.github.io/promptflow/reference/pf-command-reference.html)
[](https://microsoft.github.io/promptflow/reference/python-library-reference/promptflow-devkit/promptflow.client.html)
[](https://marketplace.visualstudio.com/items?itemName=prompt-flow.prompt-flow)
[](https://microsoft.github.io/promptflow/index.html)
[](https://github.com/microsoft/promptflow/issues/new/choose)
[](https://github.com/microsoft/promptflow/issues/new/choose)
[](https://github.com/microsoft/promptflow/blob/main/CONTRIBUTING.md)
[](https://github.com/microsoft/promptflow/blob/main/LICENSE)
> Welcome to join us to make prompt flow better by
> participating [discussions](https://github.com/microsoft/promptflow/discussions),
> opening [issues](https://github.com/microsoft/promptflow/issues/new/choose),
> submitting [PRs](https://github.com/microsoft/promptflow/pulls).
## Introduction
The `promptflow-devkit` is a subpackage of [`promptflow`](https://pypi.org/project/promptflow). It contains features like :
- **Create and iteratively develop flow**
- Debug and iterate your flows, especially the [interaction with LLMs](https://microsoft.github.io/promptflow/concepts/concept-connections.html) with ease.
- Provide Tracing collector and UI to help user achieve comprehensive observability of their LLM applications.
- **Evaluate flow quality and performance**
- Evaluate your flow's quality and performance with larger datasets.
- Integrate the testing and evaluation into your CI/CD system to ensure quality of your flow.
- **Streamlined development cycle for production**
- Deploy your flow to the serving platform you choose or integrate into your app's code base easily.
NOTE:
- For users seeking a **minimal** dependency to execute a flow in serving or cloud run scenarios, consider installing the `promptflow-core` package. This package equips you with the fundamental features necessary for executing a `flow` in prompt flow.
- For users need 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), please install the `promptflow-azure` package.
## ChangeLog
Reach the full change log [here](https://microsoft.github.io/promptflow/reference/changelog/promptflow-devkit.html).
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"description": "# Prompt flow devkit\n\n[](https://pypi.org/project/promptflow-devkit/)\n[](https://pypi.python.org/pypi/promptflow-devkit/)\n[](https://pypi.org/project/promptflow-devkit/)\n[](https://microsoft.github.io/promptflow/reference/pf-command-reference.html)\n[](https://microsoft.github.io/promptflow/reference/python-library-reference/promptflow-devkit/promptflow.client.html)\n[](https://marketplace.visualstudio.com/items?itemName=prompt-flow.prompt-flow)\n\n[](https://microsoft.github.io/promptflow/index.html)\n[](https://github.com/microsoft/promptflow/issues/new/choose)\n[](https://github.com/microsoft/promptflow/issues/new/choose)\n[](https://github.com/microsoft/promptflow/blob/main/CONTRIBUTING.md)\n[](https://github.com/microsoft/promptflow/blob/main/LICENSE)\n\n> Welcome to join us to make prompt flow better by\n> participating [discussions](https://github.com/microsoft/promptflow/discussions),\n> opening [issues](https://github.com/microsoft/promptflow/issues/new/choose),\n> submitting [PRs](https://github.com/microsoft/promptflow/pulls).\n\n## Introduction\n\nThe `promptflow-devkit` is a subpackage of [`promptflow`](https://pypi.org/project/promptflow). It contains features like :\n\n- **Create and iteratively develop flow**\n - Debug and iterate your flows, especially the [interaction with LLMs](https://microsoft.github.io/promptflow/concepts/concept-connections.html) with ease.\n - Provide Tracing collector and UI to help user achieve comprehensive observability of their LLM applications.\n- **Evaluate flow quality and performance**\n - Evaluate your flow's quality and performance with larger datasets.\n - Integrate the testing and evaluation into your CI/CD system to ensure quality of your flow.\n- **Streamlined development cycle for production**\n - Deploy your flow to the serving platform you choose or integrate into your app's code base easily.\n\n\nNOTE:\n- For users seeking a **minimal** dependency to execute a flow in serving or cloud run scenarios, consider installing the `promptflow-core` package. This package equips you with the fundamental features necessary for executing a `flow` in prompt flow.\n- For users need 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), please install the `promptflow-azure` package.\n\n## ChangeLog\n\nReach the full change log [here](https://microsoft.github.io/promptflow/reference/changelog/promptflow-devkit.html).\n\n",
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