{"batch_id":"20260916-medium-fp16-sharing-batch","created_at":"2026-09-16T12:26:59+00:00","entries":[{"branch":"task/runtime-lifecycle-refactor","commit_title":"perf(inference): FP16 입력과 CUDA 공유로 제한16채널 처리량 수용","file_count":16,"job_id":"20260916-medium-fp16-sharing","manifest_path":"/tmp/codex/ltb1021/git-closeout/20260916-medium-fp16-sharing/source.json","manifest_plan_hash":"c946186395cfe5b7831c371adf05ce1ad3e284b0c12e36c3c75a720481ddfa5a","order":1,"push_mode":"upstream","repository_label":"contextra-analytics","worktree":"/workspace/contextra-analytics-runtime-lifecycle-refactor"},{"branch":"main","commit_title":"docs(portfolio): Contextra 제한16채널 처리량 수용 성과 기록","file_count":3,"job_id":"20260916-medium-fp16-sharing-portfolio","manifest_path":"/tmp/codex/ltb1021/git-closeout/20260916-medium-fp16-sharing/portfolio.json","manifest_plan_hash":"28c84f2aa56974ce19d28ef3ee4c4d9c2e929ed13d9b56d3be2a5fce60a3975f","order":2,"push_mode":"upstream","repository_label":"codex-ops-docs","worktree":"/workspace/users/root/codex-ops-docs"}],"expected_group_count":2,"expires_at":"2026-09-17T12:26:59+00:00","plan_hash":"60b5196fe7b8d99af3fe6d0b936f7c27cccc444fa3a38733709ec948b1f6dc9a","profile":"ltb1021","schema_version":"ltb1021.codex_hub.git_closeout_batch_manifest.v1","session_alias":"work-session"}
