π 2025-04-21 β Session: Enhancing AI Streaming UX with PromptFlow
π 18:40β19:35
π·οΈ Labels: AI, Promptflow, Streaming, UX, Development
π Project: Dev
β 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 a robust AI streaming UX.
- Provided a step-by-step guide for tool calling in PromptFlow, covering directory setup, dependency verification, and testing.
- Updated
flow.py
for OpenAI compatibility, including tool call support. - Demonstrated OpenAIβs function calling compatibility with
tool_calls
in thechat
API. - Outlined a comprehensive plan for testing a tool-using chat flow.
- Addressed CLI parsing issues and provided solutions for input handling.
- Fixed errors related to missing
init.json
and command path issues in Flex-Flows. - Resolved connection issues in PromptFlow configurations.
- Transitioned towards designing a scalable AI workflow platform.
- Organized PromptFlow developer workspace for scalability.
- Mapped the structure for FlexFlow automation and analyzed loop test outcomes.
Achievements
- Enhanced understanding and implementation of AI streaming UX.
- Improved PromptFlowβs integration with OpenAI and tool calling capabilities.
- Developed a strategic plan for scalable AI workflow platform design.
Pending Tasks
- Further testing and validation of the new implementations.
- Continuous improvement of the PromptFlow developer workspace and automation strategies.