Enhanced AI Streaming UX with PromptFlow

2 min read

📅 2025-04-21 — Session: Enhanced AI Streaming UX with PromptFlow

🕒 18:40–19:35
🏷️ Labels: AI, Promptflow, Streaming, Development, Openai, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the AI streaming user experience using the PromptFlow stack, focusing on real-time output rendering, live token logging, and interactive browser frontends.

Key Activities

  • Explored advanced techniques for implementing AI streaming UX with PromptFlow.
  • Provided a guide for tool use and integration within PromptFlow, including directory setup and dependency verification.
  • Updated flow.py for OpenAI compatibility, supporting direct connections and tool calls.
  • Developed a battle test plan for tool-using chat flows, including local and CLI testing.
  • Addressed CLI parsing errors and provided solutions for JSON input handling.
  • Resolved init.json file issues and command path problems in Flex-Flows.
  • Fixed connection issues in PromptFlow, ensuring correct configuration for OpenAI.
  • Outlined a strategic transition to building a scalable AI workflow platform with modular architecture.
  • Organized a PromptFlow developer workspace for enhanced scalability.
  • Mapped structural requirements for FlexFlow automation and analyzed loop test outcomes.

Achievements

  • Successfully implemented real-time AI streaming UX enhancements.
  • Ensured OpenAI compatibility and resolved key configuration issues.
  • Developed a comprehensive testing framework for tool-using chat flows.

Pending Tasks

  • Further refine the scalable AI workflow platform design.
  • Continue improving the PromptFlow developer workspace for better scalability and organization.

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