#36 · Primary category: LLM Application Frameworks

promptflow

ai ai-application-development ai-applications chatgpt gpt llm prompt prompt-engineering

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

Project last updated:08/26/26

GitHub Stars

11.2K

Forks

1.1K

Contributors

108

License

MIT

Why we included this project

Prompt flow, Microsoft's suite for building LLM applications, ties together prototyping, evaluation, and deployment in one toolchain. Its core unit is a flow, a graph that connects LLM calls, prompt templates, and plain Python steps, which makes it practical to move past single-request demos into real multi-step applications. An evaluation layer scores flow quality, and tracing tools show what a model actually did when a run misbehaves, which is usually the difference between shipping and debugging blind. That makes it a solid fit for developers building repeatable LLM features and small teams who want structured iteration without adopting a heavyweight platform. One thing to weigh: Microsoft has said feature development for the suite has ended, so the retirement timeline should factor into any new build decisions.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category