Promptflow

Microsoft's framework for building and managing LLM applications

open-sourceproductionpythonmicrosoftvisual-toolsmlopsopen-source

Memory Types

Integrations

openai, azure, huggingface, langchain


Overview


Promptflow is Microsoft's comprehensive framework for building, evaluating, and deploying LLM applications. It provides both code-first and visual development experiences, making it accessible to both developers and non-technical users. Promptflow emphasizes the full lifecycle of LLM app development from experimentation to production deployment.


The platform includes tools for prompt engineering, evaluation, debugging, and deployment, with deep integration into Azure AI and ML services. Its visual flow designer allows teams to prototype LLM applications quickly while maintaining the ability to drop down to code when needed.


Key Features


  • **Visual Flow Designer**: Drag-and-drop LLM application builder
  • **Code-First Option**: Python SDK for programmatic development
  • **Evaluation Framework**: Built-in metrics and evaluation flows
  • **Variant Testing**: A/B test different prompts and configurations
  • **Debugging Tools**: Step-through debugging of LLM flows
  • **Azure Integration**: Deploy to Azure with one click
  • **MLOps Support**: Version control, CI/CD, monitoring
  • **Collaboration**: Team workflows and sharing

  • When to Use Promptflow


    Promptflow is ideal for:

  • Teams wanting visual LLM development tools
  • Enterprise MLOps workflows
  • Azure-based deployments
  • Teams with mixed technical backgrounds
  • Projects requiring systematic prompt evaluation
  • Organizations needing governance and tracking

  • Pros


  • Visual tools lower barrier to entry
  • Comprehensive lifecycle management
  • Strong Azure integration
  • Good evaluation and testing capabilities
  • Enterprise-ready features
  • Microsoft backing and support
  • Both visual and code-first workflows
  • Good for team collaboration

  • Cons


  • Bias toward Azure ecosystem
  • Can be complex for simple use cases
  • Visual tools may limit flexibility
  • Smaller community than LangChain
  • Less extensive integration ecosystem
  • Steeper learning curve for full features
  • Requires more setup than lightweight frameworks

  • Pricing


  • **Open Source**: Free, MIT license
  • **Azure Integration**: Azure service costs apply
  • **Self-Hosted**: Free to deploy anywhere