Python Environment and AI Agent Setup

2 min read

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

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

Session Goal

The session aimed to resolve Python environment issues, set up AI agent dependencies, and enhance the Cerebrum SDK integration.

Key Activities

  • Inspected and fixed Python module search paths and import path issues.
  • Diagnosed Python environment setup, focusing on dependency management with pydantic.
  • Installed and configured AIOS Kernel dependencies to ensure compatibility.
  • Set up Gradio demos using the Cerebrum SDK, avoiding the full AIOS stack.
  • Installed PyYAML for YAML support and updated requirements for future installations.
  • Resolved Python virtual environment conflicts and ensured proper package installations.
  • Refactored AutoTool implementation and integrated it into TestAgent.
  • Explored Cerebrum SDK reference implementation and local agent loading with AgentManager.
  • Developed workflows for tool management in Cerebrum/AIOS and scaffolded CLI for tool validation.
  • Reviewed CLI-based agent execution and planned system testing and deployment.

Achievements

  • Successfully resolved Python environment and import issues.
  • Established a clean and compatible setup for AI agent development and deployment.
  • Enhanced Cerebrum SDK integration and tool management workflows.

Pending Tasks

  • Further testing of the refactored AutoTool and TestAgent integration.
  • Continuous monitoring and updating of Python dependencies to prevent future conflicts.

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