Worked on expanding the capabilities of the VectorInstitute/vector-inference repository by enabling audio model support within the environment configuration. This involved updating the environment.yaml file to include 'Audio' in the list of supported model types, allowing the platform to process audio inference workflows alongside existing modalities. The technical approach centered on precise configuration management using YAML, ensuring that the new audio support integrated seamlessly without disrupting current deployment processes. Leveraging Git-based change management, the update broadened the platform’s readiness for multi-modal deployments and accelerated customer onboarding for audio use cases, while maintaining adherence to established deployment workflow standards.