Verified project record

microsoft/promptflow

PromptFlow is a development framework for building, testing, and deploying LLM-based applications by linking prompts, Python code, and other tools into executable flows. Teams adopt it to manage the cycle from prototyping to production deployment, which requires a Python environment and external API configuration.

Project overview

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

Best for

Developers and AI engineers building production LLM applications who need to link Python code and prompts, run evaluations on larger datasets, and integrate testing into CI/CD.
Teams looking to structure chatbot creation using predefined templates and a command line interface for initialization and interactive testing.

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 recommended version of python >= 3.9 and <= 3.11.
Telemetry collection is enabled by default, but users can opt out.

Getting started

Setup is moderately difficult because it requires a Python environment, coding knowledge to create flows, and external API key configuration.
Install the tools using pip, initialize a chat flow via the CLI, configure an external API connection, and run an interactive chat test to verify the setup.

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