📅 2024-12-05 — Session: Configured PyGPT and LlamaIndex Agents
🕒 02:50–04:10
🏷️ Labels: Pygpt, Llamaindex, Automation, Agent Configuration, Workflow
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to integrate and configure various AI agents using PyGPT and LlamaIndex to enhance automation and workflow management.
Key Activities
- Integrated PyGPT features for daily automation, focusing on chat modes, autonomous agents, and task automation strategies.
- Developed a system prompt for a Staff Manager Agent to coordinate tasks and workflows.
- Downloaded documentation from GitHub using sparse checkout, wget, and curl.
- Configured interactive agents in PyGPT, detailing memory settings, task scheduling, and plugin integration.
- Managed agent presets in PyGPT for dynamic switching and task management.
- Reviewed LlamaIndex settings for embedding provider setup and data indexing.
- Set up the IT Manager Agent preset for learning and troubleshooting in PyGPT.
- Configured file indexing and access settings in LlamaIndex.
- Tested agent access to embedded document information using LlamaIndex.
- Planned tasks for setting up an AI agent ecosystem, focusing on presets, memory management, scheduling, and indexing.
Achievements
- Successfully configured PyGPT and LlamaIndex agents to enhance automation capabilities.
- Established a comprehensive plan for setting up an AI agent ecosystem.
Pending Tasks
- Further testing and refinement of agent configurations and presets.
- Implementation of the AI agent ecosystem setup plan.