📅 2025-04-20 — Session: Developed Modular Architecture for PromptFlow YAMLs

🕒 11:15–12:00
🏷️ Labels: Promptflow, Ai Orchestration, Cli Development, Modular Architecture
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the architecture of PromptFlow YAMLs by developing a modular and testable framework, facilitating AI orchestration and flow automation.

Key Activities

  • Conducted a battle-readiness sweep for fp commands, detailing their expected behavior, requirements, and common failure modes.
  • Delivered a masterclass on building chat flows with PromptFlow, covering essential components such as flow structure, inputs/outputs, and nodes.
  • Outlined a modular architecture for PromptFlow YAMLs, emphasizing reusable AI components and structured testing for nodes.
  • Explored modular blockflows for AI orchestration, focusing on creating foundational abstractions and strategic growth hacks.
  • Developed a CLI tool for testing flow blocks within PromptFlow, including usage examples and internal structure.
  • Drafted a Python script using the Typer library to test specific blocks or nodes from YAML flow files.

Achievements

  • Established a comprehensive guide and framework for building and testing chat flows with PromptFlow.
  • Created a foundational architecture for modular AI components and orchestration strategies.
  • Developed a CLI tool and Python script to facilitate testing of individual flow nodes.

Pending Tasks

  • Further refinement of the modular architecture and testing framework for broader application.
  • Implementation of strategic growth hacks for AI orchestration leadership.
  • Community engagement for the open source knowledge stack concept on GitHub.