HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866908719773646848 |
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| author | Menzo, Tony Roman, Alexander Gleyzer, Sergei Matchev, Konstantin Fleming, George T. Höche, Stefan Mrenna, Stephen Shyamsundar, Prasanth |
| author_facet | Menzo, Tony Roman, Alexander Gleyzer, Sergei Matchev, Konstantin Fleming, George T. Höche, Stefan Mrenna, Stephen Shyamsundar, Prasanth |
| contents | Many workflows in high-energy-physics (HEP) stand to benefit from recent advances in transformer-based large language models (LLMs). While early applications of LLMs focused on text generation and code completion, modern LLMs now support orchestrated agency: the coordinated execution of complex, multi-step tasks through tool use, structured context, and iterative reasoning. We introduce the HEP Toolkit for Agentic Planning, Orchestration, and Deployment (HEPTAPOD), an orchestration framework designed to bring this emerging paradigm to HEP pipelines. The framework enables LLMs to interface with domain-specific tools, construct and manage simulation workflows, and assist in common utility and data analysis tasks through schema-validated operations and run-card-driven configuration. To demonstrate these capabilities, we consider a representative Beyond the Standard Model (BSM) Monte Carlo validation pipeline that spans model generation, event simulation, and downstream analysis within a unified, reproducible workflow. HEPTAPOD provides a structured and auditable layer between human researchers, LLMs, and computational infrastructure, establishing a foundation for transparent, human-in-the-loop systems. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2512_15867 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency Menzo, Tony Roman, Alexander Gleyzer, Sergei Matchev, Konstantin Fleming, George T. Höche, Stefan Mrenna, Stephen Shyamsundar, Prasanth High Energy Physics - Phenomenology High Energy Physics - Experiment Many workflows in high-energy-physics (HEP) stand to benefit from recent advances in transformer-based large language models (LLMs). While early applications of LLMs focused on text generation and code completion, modern LLMs now support orchestrated agency: the coordinated execution of complex, multi-step tasks through tool use, structured context, and iterative reasoning. We introduce the HEP Toolkit for Agentic Planning, Orchestration, and Deployment (HEPTAPOD), an orchestration framework designed to bring this emerging paradigm to HEP pipelines. The framework enables LLMs to interface with domain-specific tools, construct and manage simulation workflows, and assist in common utility and data analysis tasks through schema-validated operations and run-card-driven configuration. To demonstrate these capabilities, we consider a representative Beyond the Standard Model (BSM) Monte Carlo validation pipeline that spans model generation, event simulation, and downstream analysis within a unified, reproducible workflow. HEPTAPOD provides a structured and auditable layer between human researchers, LLMs, and computational infrastructure, establishing a foundation for transparent, human-in-the-loop systems. |
| title | HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency |
| topic | High Energy Physics - Phenomenology High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2512.15867 |