
Ary Singh developed browser automation integration for Azure AI Agents in the azure-ai-foundry/foundry-samples repository, delivering end-to-end Python and C# samples that demonstrate agent workflows such as recipe search and shopping list generation. He authored both the automation scripts and supporting documentation, enabling reproducible, cross-language onboarding for developers. Singh later migrated the browser automation agent and related samples to use Playwright Workspaces, updating connection logic and documentation to align with the latest Playwright tooling. His work focused on agent development, asynchronous programming, and SDK integration, resulting in maintainable, testable samples that streamline adoption and future-proof browser automation scenarios for Azure AI.

July 2025: Delivered Playwright Workspaces Migration for azure-ai-foundry/foundry-samples, migrating references from Playwright RP to Playwright Workspaces across documentation and code samples; updated links, connection IDs, and setup instructions to reflect the new Playwright Workspaces service; ensured the browser automation agent uses the new service. The work reduces future maintenance, aligns tooling with current Playwright offerings, and stabilizes test automation across samples.
July 2025: Delivered Playwright Workspaces Migration for azure-ai-foundry/foundry-samples, migrating references from Playwright RP to Playwright Workspaces across documentation and code samples; updated links, connection IDs, and setup instructions to reflect the new Playwright Workspaces service; ensured the browser automation agent uses the new service. The work reduces future maintenance, aligns tooling with current Playwright offerings, and stabilizes test automation across samples.
Month: 2025-05 Key features delivered: - Browser automation integration for Azure AI Agents (Samples) in azure-ai-foundry/foundry-samples, including a Python script (browser_automation.py), a Markdown doc (BrowserAutomation.md), and two end-to-end C# samples (BrowserAutomationAsync.cs and BrowserAutomationSync.cs). Demonstrates an agent setup with a browser automation tool to search recipes, generate shopping lists, and return results. - Documentation and sample suite support for Python and C#, enabling quick onboarding and evaluation. Major bugs fixed: - No major bugs fixed in this scope based on the provided data. Overall impact and accomplishments: - Accelerated practical adoption by delivering ready-to-run end-to-end examples across Python and C#, enabling faster testing and demonstration of browser-automated Azure AI Agent workflows. - Improves reproducibility and maintainability with coherent documentation and commit-traceable samples. Technologies/skills demonstrated: - Python scripting and automation, C# development, documentation authoring. - Azure AI Agents workflow orchestration and browser automation integration. - Cross-language sample design, end-to-end lifecycle coverage (creation, run/thread, cleanup).
Month: 2025-05 Key features delivered: - Browser automation integration for Azure AI Agents (Samples) in azure-ai-foundry/foundry-samples, including a Python script (browser_automation.py), a Markdown doc (BrowserAutomation.md), and two end-to-end C# samples (BrowserAutomationAsync.cs and BrowserAutomationSync.cs). Demonstrates an agent setup with a browser automation tool to search recipes, generate shopping lists, and return results. - Documentation and sample suite support for Python and C#, enabling quick onboarding and evaluation. Major bugs fixed: - No major bugs fixed in this scope based on the provided data. Overall impact and accomplishments: - Accelerated practical adoption by delivering ready-to-run end-to-end examples across Python and C#, enabling faster testing and demonstration of browser-automated Azure AI Agent workflows. - Improves reproducibility and maintainability with coherent documentation and commit-traceable samples. Technologies/skills demonstrated: - Python scripting and automation, C# development, documentation authoring. - Azure AI Agents workflow orchestration and browser automation integration. - Cross-language sample design, end-to-end lifecycle coverage (creation, run/thread, cleanup).
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