
Pete Hauge developed and enhanced Azure AI agent samples in the azure-ai-foundry/foundry-samples and MicrosoftDocs/azure-ai-docs repositories, focusing on integrating Bing Search, File Search, and Microsoft Fabric with Azure AI agents. He implemented C# and JSON-based samples demonstrating agent initialization, synchronous and asynchronous workflows, and resource management, while refactoring code for SDK compatibility and onboarding efficiency. Pete addressed stability by rolling back incompatible OpenAI agent updates and improved documentation for clarity. His work provided end-to-end flows for search and agent scenarios, enabling developers to leverage Azure AI capabilities with robust configuration, debugging visibility, and streamlined sample development processes.

May 2025 focused on delivering and stabilizing a broad set of Azure AI samples across Foundry and Docs repositories, driving onboarding efficiency, debugging visibility, and tangible business value. Key feature work includes new File Search and Bing grounding integration samples; Azure AI Search integration with agents; Fabric integration samples; and comprehensive documentation housekeeping. Stability improvements included reverting the OpenAI agent sample to a stable state due to compatibility issues and tightening sample documentation. Collectively, these efforts demonstrate value delivery via SDK updates, synchronous/asynchronous workflows, and robust sample configurations.
May 2025 focused on delivering and stabilizing a broad set of Azure AI samples across Foundry and Docs repositories, driving onboarding efficiency, debugging visibility, and tangible business value. Key feature work includes new File Search and Bing grounding integration samples; Azure AI Search integration with agents; Fabric integration samples; and comprehensive documentation housekeeping. Stability improvements included reverting the OpenAI agent sample to a stable state due to compatibility issues and tightening sample documentation. Collectively, these efforts demonstrate value delivery via SDK updates, synchronous/asynchronous workflows, and robust sample configurations.
April 2025 monthly summary: Delivered a new Azure AI agent with Bing grounding sample in azure-ai-foundry/foundry-samples. Provides a markdown sample with C# code for initializing the agent, configuring Bing search capabilities, creating threads, running agent tasks, and processing responses (text and image content with URL citations), plus steps for cleaning up resources. This release is tracked by commit 44f4be2d32ac2ba2e704af1b4cdf8c71187153a9 ("Update Bing Grounding Sample").
April 2025 monthly summary: Delivered a new Azure AI agent with Bing grounding sample in azure-ai-foundry/foundry-samples. Provides a markdown sample with C# code for initializing the agent, configuring Bing search capabilities, creating threads, running agent tasks, and processing responses (text and image content with URL citations), plus steps for cleaning up resources. This release is tracked by commit 44f4be2d32ac2ba2e704af1b4cdf8c71187153a9 ("Update Bing Grounding Sample").
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