📅 2025-04-15 — Session: Explored OpenAPI and PromptFlow Integration
🕒 08:45–10:45
🏷️ Labels: Openapi, Promptflow, Swagger, Integration, Api Design
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore the integration of OpenAPI specifications with Microsoft’s PromptFlow and Prompty for enhanced API design and prompt engineering.
Key Activities
- Analyzed early OpenAPI (Swagger) specifications to understand foundational ideas and their evolution.
- Reflected on Swagger 1.2 insights to inform the Prompt Runtime Contract design.
- Reviewed prompt engineering techniques and frameworks, including contributions from major AI players.
- Evaluated Microsoft’s PromptFlow and Prompty for LLM development and AI workflows.
- Developed integration plans for PromptFlow and Prompty into Python environments.
- Conducted community feedback analysis on PromptFlow and Prompty.
Achievements
- Gained insights into the minimalistic beginnings of OpenAPI and its evolution.
- Identified structural and conceptual parallels for Prompt Runtime Contract design.
- Outlined integration steps for PromptFlow and Prompty in Python and FastAPI.
Pending Tasks
- Further exploration of unused code highlighting in VS Code and modular systems.
- Complete the transition to PromptFlow and Prompty, including YAML-based flow migration.
Outcome
The session successfully explored the integration possibilities and benefits of using OpenAPI specifications with PromptFlow and Prompty, setting the stage for future development and refinement in API and prompt management.