Worked on dapr/dapr-agents to enhance tool execution orchestration for large language model interactions. Developed and integrated the ToolExecutionMode enum, allowing configurable parallel or sequential execution of tools within a single LLM turn. This addition preserved the default parallel behavior for throughput while introducing a SEQUENTIAL mode to support tools with side effects or strict ordering requirements, improving safety and predictability in dynamic workflows. The implementation involved Python and full stack development skills, with a focus on robust unit testing to ensure reliability. No bugs were reported or fixed during this period, reflecting a focused and well-scoped feature delivery.