Resolved Python Environment and AI Agent Issues

2 min read

📅 2025-05-03 — Session: Resolved Python Environment and AI Agent Issues

🕒 03:10–03:55
🏷️ Labels: Python, Ai Agents, Cerebrum Sdk, Environment Setup, Deployment
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to address and resolve various Python environment setup issues, refactor AI agent tools, and prepare for deployment.

Key Activities

  • Python Module Search Paths: Inspected and modified sys.path to fix import errors related to the cerebrum.llm.apis module.
  • Environment Setup: Diagnosed Python dependency issues and strategized a clean setup, focusing on pydantic and PyYAML installations.
  • AIOS Kernel Dependencies: Installed necessary dependencies for the AIOS Kernel to ensure runtime compatibility.
  • Gradio Demos: Set up a minimal environment for running Gradio demos using the Cerebrum SDK, bypassing the full AIOS stack.
  • Virtual Environment Conflicts: Resolved conflicts by reinstalling packages within virtual environments and ensuring proper pip usage.
  • AutoTool Refactoring: Refactored the AutoTool implementation, enhancing integration with TestAgent.
  • Cerebrum SDK Implementation: Explored the reference implementation for running AIOS agents with the Cerebrum SDK.

Achievements

  • Successfully resolved Python import and environment setup issues.
  • Established a streamlined process for AI agent tool integration and deployment.
  • Enhanced understanding of Cerebrum SDK’s modular architecture and agent execution.

Pending Tasks

  • Further testing and validation of AI agent deployment on Hugging Face Spaces.
  • Continued refinement of the Cerebrum SDK integration process.

Graph View

Backlinks