{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T11:54:33Z","timestamp":1790942073943,"version":"4.1.0"},"reference-count":26,"publisher":"International Union of Crystallography (IUCr)","issue":"5","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100006132","name":"US Department of Energy, Office of Science","doi-asserted-by":"publisher","award":["107514"],"award-info":[{"award-number":["107514"]}],"id":[{"id":"10.13039\/100006132","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006132","name":"US Department of Energy, Office of Science","doi-asserted-by":"publisher","award":["DE-AC02-05CH11231"],"award-info":[{"award-number":["DE-AC02-05CH11231"]}],"id":[{"id":"10.13039\/100006132","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["iucr.org","wiley.com","iucrj.org"],"crossmark-restriction":true},"short-container-title":["J Synchrotron Rad","J Synchrotron Radiat"],"accepted":{"date-parts":[[2026,7,30]]},"published-print":{"date-parts":[[2026,9,1]]},"abstract":"<jats:p>\n                    Modern synchrotron beamlines support increasingly complex experiments, but their operation remains strongly dependent on facility-specific control interfaces and workflows. This reliance creates a significant barrier to entry for new users and limits the portability of experimental procedures across beamlines. Here, we present a minimal, agent-agnostic orchestration architecture for AI-assisted beamline operation, deployed at Advanced Light Source beamline 5.3.1. The approach introduces a capability-based abstraction layer that exposes beamline functionality as a set of predefined operations. Within this framework, AI agents translate natural-language user requests into structured experimental plans composed of these capabilities. All plans are executed through the\n                    <jats:italic>Bluesky Queue Server<\/jats:italic>\n                    , ensuring deterministic operation within existing control and safety constraints without modification of the underlying beamline control system. The framework is defined by three key elements: (i) a portable capability layer that decouples user intent from beamline-specific implementation, (ii) a hybrid interaction framework combining AI-assisted workflow composition with graphical user interface (GUI)-based monitoring and control, and (iii) constrained execution that restricts all actions to predefined capabilities and requires user approval prior to execution. We demonstrate the architecture using grazing-incidence scattering (GISAXS), multi-edge X-ray absorption spectroscopy (XANES), and cross-beamline deployment scenarios. In each case, the system generates physically meaningful experimental plan, adapts to local hardware constraints, and preserves experimental intent across different instruments. These results demonstrate a practical and scalable approach for integrating AI into synchrotron experimentation, enabling intent-driven, portable, and safe beamline operation.\n                  <\/jats:p>","DOI":"10.1107\/s1600577526007836","type":"journal-article","created":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T16:28:06Z","timestamp":1787588886000},"page":"1382-1391","update-policy":"https:\/\/doi.org\/10.1107\/cm_01","source":"Crossref","is-referenced-by-count":0,"title":["Orchestrating agentic systems at ALS beamline 5.3.1 with\n                    <i>Osprey<\/i>\n                    and\n                    <i>Bluesky<\/i>"],"prefix":"10.1107","volume":"33","author":[{"given":"Ka Hung","family":"Chan","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02jbv0t02","id-type":"ROR","asserted-by":"publisher"}],"department":["Advanced Light 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