Debugged and Enhanced LLMToolAgent and Upwork Automation

📅 2025-05-02 — Session: Debugged and Enhanced LLMToolAgent and Upwork Automation

🕒 03:10–04:10
🏷️ Labels: Llmtoolagent, Debugging, Automation, Upwork, Promptflow
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary aim was to debug the LLMToolAgent class to ensure proper functionality and error handling, and to enhance the Upwork funnel automation for improved efficiency.

Key Activities

• Corrected the LLMToolAgent class to align with the working example of enrich_entry, focusing on argument parsing and error handling.
• Conducted a debugging session to unify the tool-call-based LLM agent architecture, summarizing accomplishments and outstanding issues.
• Developed a structured reflection and action guide for addressing debugging issues, including a checklist and recommendations for future work.
• Outlined next steps for automation projects, prioritizing the Email Agent.
• Reviewed and suggested improvements for the Upwork funnel, focusing on parsing job data and generating proposals.
• Assessed a multi-agent Upwork funnel using PromptFlow, identifying strengths and areas for improvement.
• Enhanced the submission_handler.py script to generate Jinja2 Markdown reports, improving observability and reporting in the PromptFlow setup.

Achievements

• Successful debugging and correction of the LLMToolAgent class.
• Clear action plan and checklist for future debugging sessions.
• Improved efficiency in the Upwork funnel automation.
• Enhanced reporting capabilities with Jinja2 Markdown in PromptFlow.

Pending Tasks

• Implement the outlined improvements in the Upwork funnel and monitor results.
• Continue refining the submission_handler.py script for optimal performance.