March 2026 focused on enhancing API documentation quality for the Training Checkpoint operation within the OpenAPI spec of togethercomputer/openapi. Implemented a targeted documentation refinement to remove redundancy while preserving clarity, improving developer experience and reducing onboarding time. Change committed to openapi.yaml (464236095739f7f5786512eb52b12c95fe4fcf3c) with Co-authored-by metadata. This work strengthens API maintainability and sets the stage for future enhancements to the Training Checkpoint endpoint. Business value includes clearer contracts, fewer support queries, and faster integration for downstream teams.

February 2026 monthly summary focusing on delivering reinforcement learning API capabilities and documentation alignment in the togethercomputer/openapi repository. Key outcomes include new sampling endpoints for RL training sessions, alignment of forward-backward loss with sampling features, updates to detailed schemas, and synchronization of the OpenAPI specification with RL Swagger to ensure consistent and accurate API documentation. These changes improve developer experience, reduce integration friction, and establish a reliable foundation for scalable RL experimentation.

November 2025 monthly summary for togethercomputer/together-python: Delivered Large File Upload Support, increasing max upload size from 25GB to 50.1GB; optimized multipart upload parameters for large files; and enhanced error handling and validation to reflect the updated limit. All changes linked to commit 1201470b6774afdf232e6c0e95e4eff5ee6c67f6 (feat: Increase file size limit from 25GB to 50.1GB (#396)).

September 2025: Delivered multipart uploads for large files in the together-python library, enabling size-based routing, chunked transfers, and improved robustness for large-file ingestion. Implemented new multipart upload management classes, updated constants, and adjusted file upload logic. This work is backed by commit 0cf374cb137f1c4ec4214a9a3ed9f70d9a60e8ad (Implement multipart upload (#364)). No major bugs fixed this month; focus was on feature delivery and stabilizing the upload workflow.

June 2025 monthly summary: Fixed DPO parameter validation in the Together Python client and released patch to v1.5.16, removing overly restrictive validations that caused blocking when the training method is not explicitly 'dpo'. This stabilizes DPO and non-DPO workflows and reduces false-positive training blockers.