a2aproject/a2a-samples
Jun 2025 – Jun 2025
1 Month active
Languages Used
JSONPython
Technical Skills
AI Agent DevelopmentAPI IntegrationAgent-to-Agent CommunicationGoogle ADKNotebook DevelopmentOrchestration
Nilo
PROFILE
Nilo
Developed an end-to-end A2A Quickstart Notebook for the a2aproject/a2a-samples repository, focusing on rapid setup and testing of multi-agent systems using the Google Agent-to-Agent protocol. The work involved orchestrating agent creation, configuring the A2A server, and enabling agent-to-agent communication within a practical, ready-to-run notebook. Leveraging Python, JSON, and Vertex AI, the solution provides reusable patterns for integration and streamlines onboarding for developers. By validating integration flows and reducing setup time, the notebook enhances deployment readiness and productivity, offering a clear path for future extensions and testing of multi-agent workflows in environments leveraging Google ADK and related technologies.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,203
Activity Months1
Your Network
70 peopleWork History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for a2a-samples: Delivered an end-to-end A2A Quickstart Notebook for Google Agent-to-Agent protocol, enabling rapid setup and testing of multi-agent systems. The notebook demonstrates agent creation, A2A server setup, and inter-agent testing, providing a practical onboarding path and reusable patterns for future integrations. This release improves deployment readiness and developer productivity by reducing setup time and validating integration flows.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for a2a-samples: Delivered an end-to-end A2A Quickstart Notebook for Google Agent-to-Agent protocol, enabling rapid setup and testing of multi-agent systems. The notebook demonstrates agent creation, A2A server setup, and inter-agent testing, providing a practical onboarding path and reusable patterns for future integrations. This release improves deployment readiness and developer productivity by reducing setup time and validating integration flows.
June 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
JSONPython
Technical Skills
AI Agent DevelopmentAPI IntegrationAgent-to-Agent CommunicationGoogle ADKNotebook DevelopmentOrchestrationPythonVertex AI
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