📅 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
fpcommands, 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.