Journal Article/Contribution to a conference proceedings

PUBDB-2025-04934

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Agent-based code generation for the Gammapy framework

Kostunin, D. (Corresponding author)DESY* ; Sotnikov, V. ; Golovachev, S. ; Mehta, A. (Corresponding author)DESY* ; Holch, T. L.DESY* ; Jones, E.DESY*

2025
SISSA Trieste

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Please use a persistent id in citations: doi:10.22323/1.501.0753  doi:10.3204/PUBDB-2025-04934

Report No.: arXiv:2509.26110

Abstract: Software code generation using Large Language Models (LLMs) is one of the most successful applications of modern artificial intelligence. Foundational models are very effective for popular frameworks that benefit from documentation, examples, and strong community support. In contrast, specialized scientific libraries often lack these resources and may expose unstable APIs under active development, making it difficult for models trained on limited or outdated data. We address these issues for the Gammapy library by developing an agent capable of writing, executing, and validating code in a controlled environment. We present a minimal web demo and an accompanying benchmarking suite. This contribution summarizes the design, reports our current status, and outlines next steps.

Note: ICRC2025 proceedings PoS(ICRC2025)753

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Contributing Institute(s):

1. Datenverarbeitung (Z_DV)
2. High Energy Steroscopic System (Z_HESS)

Research Program(s):

1. 613 - Matter and Radiation from the Universe (POF4-613) (POF4-613)

Experiment(s):

1. High Energy Stereoscopic System
2. Cherenkov Telescope Array

Appears in the scientific report 2025

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Database coverage:
; ; ; ; DOAJ Seal ; SCOPUS

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint Kostunin, D. ; Sotnikov, V. ; Golovachev, S. ; Mehta, A. (Corresponding author)DESY* ; Holch, T. L. ; Jones, E.
Agent-based code generation for the Gammapy framework
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