azure-ai-foundry/foundry-samples
Jun 2025 – Jun 2025
1 Month active
Languages Used
C#Makefile
Technical Skills
A2A ProtocolAgent DevelopmentAuthenticationAzure AISDK Integration
Salman Quazi
PROFILE
Salman Quazi
Salman Qureshi developed an Azure AI Foundry Agents A2A Integration Sample for the azure-ai-foundry/foundry-samples repository, focusing on demonstrating how Azure AI Foundry agents can be integrated with the A2A protocol. He implemented a setup for creating and interacting with persistent agents, ensuring compatibility with A2A and incorporating Azure Identity authentication. Using C# and leveraging SDK integration skills, Salman designed a basic end-to-end messaging workflow that allows sending messages to the agent and receiving responses. The work was feature-driven, with early validation in the sample repository, and addressed the need for clear, authenticated agent communication without reported critical bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
137
Activity Months1
Your Network
4220 people
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for azure-ai-foundry/foundry-samples: Delivered a new Azure AI Foundry Agents A2A Integration Sample demonstrating integration of Azure AI Foundry agents with the A2A protocol, including setup for creating and interacting with a persistent agent, A2A compatibility, and Azure Identity authentication with a basic message workflow (send/receive). No critical bugs reported for this period; feature-focused delivery and early validation in the sample repo.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for azure-ai-foundry/foundry-samples: Delivered a new Azure AI Foundry Agents A2A Integration Sample demonstrating integration of Azure AI Foundry agents with the A2A protocol, including setup for creating and interacting with a persistent agent, A2A compatibility, and Azure Identity authentication with a basic message workflow (send/receive). No critical bugs reported for this period; feature-focused delivery and early validation in the sample repo.
June 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#Makefile
Technical Skills
A2A ProtocolAgent DevelopmentAuthenticationAzure AISDK Integration
Repositories Contributed To
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