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Astranomy Direct-API and Codex Agent-EEF policy backends, with configurable
model access, action representations, history selection, and inference logs.
Optional episode context sent once before inference, allowing compatible
policy clients to use video demonstrations for in-context learning (ICL).
Object-counting task predicates, multiple tracked instruction fields, and
support for multi-articulation end-effector recording and gripper labels.
Changed
Cosmos3 supports full WebSocket URIs, optional Bearer authentication, and
separate policy sessions for parallel environments. Cosmos3 and DreamZero
share a MsgPack/NumPy WebSocket transport.
Batched policy replans are divided into bounded per-request environment
groups.
Fixed
Ground meshes no longer occlude cleaning-scene backgrounds.
Recorded subtask conditionals resolve correctly during replay.