Use Case: LLM Applications in Ground-Based Gamma Astronomy

30 Sept 2025, 10:35
10m
Zoom (online)

Zoom

online

Speakers

Elisa Jones (DESY) Dmitriy Kostunin (DESY)

Description

We present a multi-agent application for next-generation Cherenkov Telescope Array Observatory, designed to automate the generation of Pydantic Python models directly from free-text descriptions or structured files. It also explores the use of the multi-agent framework AutoGen, as well as minimal function tools available in new OpenAI interfaces, incorporating a feedback loop to verify and refine generated code before user presentation, streamlining the workflow for astrophysical data management. The app is baked with Blablador's GPT-OSS, as the best performing model for the task out of selected models.

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