AGNTCY & Galileo Building and Monitoring a Weather Agent
AI Summary
Summary of AGNTCY Group and Weather Vibes Agent Tutorial
Introduction
- Overview of AGNTCY as part of the Internet of Agents collective.
- Mention of major players in the space: Cisco, LangGraph, and Galileo.
What is AGNTCY?
- AGNTCY is a context model protocol for agents aimed at enabling collaborative interaction between agents.
Tutorial Focus
- The tutorial focuses on creating a “Weather Vibes” agent.
- The agent retrieves weather data for a specified location and provides outfit recommendations and a relevant playlist.
Implementation Steps
- Clone the AGNTCY repository to your local machine.
- Start the Galileo server for context management.
- Command to start the server:
python main.py- Ensure the virtual environment is activated before running the server.
- Run the agent by specifying a city to retrieve weather data and recommendations.
- Example: For Austin, Texas, the expected output includes temperature, weather conditions, and a playlist.
- Analyze results in the Galileo interface, including metrics and output recommendations.
Output Example
- For Austin, the agent reports:
- Temperature: 25.2 degrees Celsius
- Conditions: Cloudy with a humidity of 84%
- Recommendation: Create a playlist based on the weather vibe (e.g., rainy day vibes).
- Real-time updates on outputs and metrics from the agent.
Conclusion
- The tutorial successfully enables users to build and interact with the weather vibes agent, showcasing the capabilities of the AGNTCY framework.