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Prompt Flow

Prompt flow is a suite of tools for developing LLM-based AI applications, streamlining the entire development cycle.

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Introduction

Prompt Flow

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, evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.

Key Features:
  • Create Flows: Link LLMs, prompts, Python code, and other tools together in an executable workflow.
  • Debug and Iterate: Easily trace interactions with LLMs and debug your flows.
  • Evaluate Flows: Calculate quality and performance metrics with larger datasets.
  • CI/CD Integration: Integrate testing and evaluation into your CI/CD system to ensure quality.
  • Deployment: Deploy your flows to your chosen serving platform or integrate into your app’s codebase.
  • Collaboration: Leverage the cloud version of Prompt flow in Azure AI for team collaboration.
Benefits:
  • Streamlined development process for LLM-based applications.
  • Enhanced debugging and evaluation capabilities.
  • Flexibility in deployment and integration with existing systems.

Join us to make Prompt flow better by participating in discussions, opening issues, and submitting PRs!

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Information

  • Publisher
    AISecKit
  • Websitemicrosoft.github.io
  • Published date2025/04/27

Categories

  • AI Application Platforms
  • AI Productivity Tools
  • AI Development Frameworks

Tags

  • Prompt Engineering
  • LLM

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