Verified project record

microsoft/promptflow

PromptFlow is a development framework that streamlines the lifecycle of LLM-based AI applications, from prototyping to production deployment. It enables developers to build executable flows combining LLMs, prompts, and Python code, while providing tools for debugging, evaluation, and deployment.

Project overview

It addresses the end-to-end development cycle for LLM applications by linking prompts, Python code, and tools into executable flows with integrated evaluation and CI/CD testing capabilities.

Project type: Workflow · Evaluation & Observability · Prompt Engineering
Use cases: Knowledge Q&A
Deployment: Python environment
License: MIT

Best for

Developers and AI engineers building LLM applications who require coding capabilities, structured evaluation, and iterative tracing.

Key capabilities

Create executable flows that link LLMs, prompts, Python code and other tools together.
Debug and iterate flows, especially tracing interaction with LLMs.
Evaluate flow's quality and performance with larger datasets and integrate testing into CI/CD.
Deploy flows to a chosen serving platform or integrate into an app's code base.
CLI for initializing flows, creating connections, and testing flows interactively.
Initiate prompt flow from chat templates to quickly create a chatbot.

Limitations and risks

A Python environment is required, with a recommendation of python version >=3.9 and <=3.11.
Telemetry collection is enabled by default, although users have the option to opt out.

Getting started

Setting up the framework is of medium difficulty, requiring a Python environment (recommended python>=3.9, <=3.11), coding knowledge to create flows, and configuration of an external API key.

Evidence and sources

README: **Prompt flow** is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, evaluati…
README: Ensure you have a python environment, `python>=3.9, <=3.11` is recommended.
README: For OpenAI key, establish a connection by running the command, using the `openai.yaml` file in the `my_chatbot` folder, which stores your OpenAI key (override keys and name with -…
README: The software may collect information about you and your use of the software and send it to Microsoft if configured to enable telemetry.
README: Telemetry collection is on by default.

Reviewed at: 2026-07-18T02:29:25Z

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