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SDialog is an MIT-licensed open-source toolkit for building, simulating, and evaluating LLM-based conversational agents end-to-end. It aims to bridge **agent construction → user simulation → dialog generation → evaluation** in a single reproducible workflow, so you can generate reliable, controllable dialog systems or data at scale.
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## 📚 Citation
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If you use SDialog in academic work, please consider citing [our paper](https://arxiv.org/abs/2506.10622):
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If you use SDialog in academic work, please consider citing [our paper](https://aclanthology.org/2026.eacl-demo.23/), published at EACL 2026:
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```bibtex
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@misc{burdisso2025sdialogpythontoolkitendtoend,
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url = {https://arxiv.org/abs/2506.10622},
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}
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```
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_(A system demonstration version of the paper has been submitted to EACL 2026 and is under review; we will update this BibTeX if accepted)_
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<!-- ```bibtex
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@inproceedings{burdisso-etal-2026-sdialog,
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title = "{SD}ialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation",
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author = {Burdisso, Sergio and Baroudi, S{\'e}verin and Labrak, Yanis and Gr{\"u}nert, David and Cyrta, Pawel and Chen, Yiyang and Madikeri, Srikanth and Villatoro-tello, Esa{\'u} and Marxer, Ricard and Motlicek, Petr},
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editor = "Croce, Danilo and Leidner, Jochen and Moosavi, Nafise Sadat",
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booktitle = "Proceedings of the 19th Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics (Volume 3: System Demonstrations)",
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month = mar,
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year = "2026",
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address = "Rabat, Marocco",
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publisher = "Association for Computational Linguistics",
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