Worked on the vllm-project/vllm-omni repository to deliver an Image Generation Response Enhancement that standardized output formats and improved client interoperability. Focused on backend and API development using Python, the work introduced explicit output format specifications and refined base64 encoding for image generation responses. This technical approach addressed a critical issue in the generations response body, ensuring that payloads are accurate and easily parsable by client applications. By enhancing data encoding and response reliability, the changes supported more predictable integrations for downstream services, ultimately making client-side parsing more straightforward and improving the overall robustness of the image generation API.