April 2025 monthly summary for HabanaAI/vllm-fork focused on strengthening observability and performance analytics through a targeted metrics instrumentation enhancement. The main delivery was a Token Processing Metrics Enhancement that updates histogram buckets for iteration tokens to provide a more granular view of token counts during processing, enabling faster performance analysis and data-driven tuning. No major bugs fixed were recorded in this period based on available data. The work aligns with performance optimization goals by improving visibility into token throughput and processing efficiency, supporting capacity planning and informed optimization efforts. Key outcomes include improved metrics granularity, execution-time visibility, and a concrete change (commit 18445edd0f19b3d734315f968ed9a554937aab20) that updates histogram_iteration_tokens buckets to [1, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8096].