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A2A Python Tutorial - Comprehensive Guide
- This Python tutorial covers building an A2A server, including setting up the environment, creating a project, and adding agent skills.
- It demonstrates creating agent skills, setting up a project environment, and adding Google-A2A Python libraries.
- The tutorial covers implementing agent skills in code, creating an Agent Card, and setting up an A2A server with a task manager.
- It explains the process of interacting with the A2A server using Google-A2A's command-line tool and adding agent capabilities for streaming responses.
- The tutorial also guides integrating a local Ollama model for AI functionality, including requirements, implementation steps, and testing.
- Finally, it suggests next steps like connecting AI models with MCP tools and exploring Google's Agent Development Kit.
- The tutorial provides a comprehensive guide for building an A2A server with AI capabilities.
- It involves creating agent skills, setting up server environment, interacting with the server, and integrating AI models.
- The tutorial covers tasks like adding libraries, implementing agent skills in code, and creating agent cards.
- It explains the process of setting up a task manager, handling requests, and streaming responses in an A2A server.
- The tutorial concludes with suggestions for future development like connecting AI models with MCP tools and exploring Agent Development Kit.
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