Worked on improving the reliability of streaming tool calls in the microsoft/agent-framework repository by addressing duplicate ToolCallStartEvent emissions. Focused on backend and API development using Python, the work involved aligning the handling of input_json_delta events with OpenAI semantics to ensure that only a single ToolCallStartEvent is emitted per tool use during streaming. This adjustment reduced event noise and improved the stability of real-time tool usage. The solution required careful testing and a deep understanding of streaming-edge cases, ultimately enhancing the consistency of the Anthropic client’s behavior and aligning it with established API standards for more predictable integrations.