📅 2025-04-15 — Session: Enhanced PromptFlow Execution and Integration
🕒 11:00–12:00
🏷️ Labels: Promptflow, Integration, Refactoring, Openai, Python
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to improve the execution and integration of PromptFlow with various tools and APIs, focusing on refactoring and resolving issues.
Key Activities
- Understanding OpenAIExecutor in PromptFlow: Analyzed the OpenAIExecutor class to understand its role in automating API interactions through YAML.
- Integrating YAML DAGs with Microsoft PromptFlow: Adapted a custom flow-runner architecture to work with Microsoft PromptFlow, enabling seamless execution of prompt steps.
- Refactoring Prompt Execution Logic: Reviewed and refactored the prompt execution architecture, transitioning from
PromptCard
toPromptBlock
for improved Prompty-based flows. - Transitioning from PromptCard to PromptyTool: Made necessary code changes to transition to
PromptyTool
, considering both synchronous and asynchronous execution. - Resolving ImportError in PromptFlow: Addressed an ImportError related to the PromptyTool, providing recommendations for resolving the issue.
- Prompty Integration Improvements: Identified and corrected issues in Prompty integration, including import statements and environment variable loading.
- Correcting YAML Configuration for OpenAI API: Modified YAML configuration to switch from Azure OpenAI to OpenAI.com API, ensuring correctness.
Achievements
- Successfully refactored the prompt execution logic and resolved integration issues.
- Improved the configuration and execution of PromptFlow with external tools and APIs.
Pending Tasks
- Further testing of the new configurations and integrations to ensure stability.