Update dfode-kit and agents description.

Author: TimoLin

README.md

@@ -21,7 +21,7 @@
 
 DeepFlame is a deep learning empowered computational fluid dynamics package for single or multiphase, laminar or turbulent, reacting flows at all speeds. It aims to provide an open-source platform to combine the individual strengths of [OpenFOAM](https://openfoam.org), [Cantera](https://cantera.org), and [PyTorch](https://pytorch.org/) libraries for deep learning assisted reacting flow simulations. It also has the scope to leverage the next-generation heterogenous supercomputing and AI acceleration infrastructures such as GPU and FPGA.
 
-The neural network models used in the tutorial examples can be found at– [AIS Square](https://www.aissquare.com/). To run DeepFlame with DNN, download the DNN model [DFODE](https://www.aissquare.com/models/detail?pageType=models&name=DF-ODENet_DNNmodel&id=197) into the case folder you would like to run.
+The neural network models used in the tutorial examples can be found at– [AIS Square](https://www.aissquare.com/). To run DeepFlame with DNN, download the DNN model [DFODE](https://www.aissquare.com/models/detail?pageType=models&name=DF-ODENet_DNNmodel&id=197) into the case folder you would like to run. To train your own DNN models, please use the [DFODE-kit](https://github.com/deepflame-ai/DFODE-kit) package developed by the DeepFlame team.
 
 ## Documentation
 Detailed guide for installation and tutorials is available on [our documentation website](https://deepflame.deepmodeling.com).

agents/DFODE-kit-Trainer.md

@@ -0,0 +1,5 @@
+DFODE-kit Trainer
+=================
+DFODE-kit Trainer is a specialized agent designed to facilitate the training of models using the DFODE-kit framework. This agent streamlines the process of setting up, executing, and monitoring training sessions for differential equation-based models. User can interact with the agent through natural language commands to configure training parameters, initiate training runs, and analyze results.
+
+To try DFODE-kit Trainer, visit  https://github.com/deepflame-ai/DFODE-kit/blob/main/agent_user_guide_zh.md for more details.

agents/FlamePilot.md

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+FlamePilot
+==========
+FlamePilot is an AI-powered CFD agent that leverages DeepFlame to assist users in setting up, running, and analyzing combustion simulations. It provides an intuitive interface for both novice and experienced users to interact with complex CFD tasks using natural language commands.
+
+To try FlamePilot, visit this Bohrium App: https://www.bohrium.com/apps/deepflame-cfd-agent.

docs/source/citation.rst

@@ -8,3 +8,6 @@ Runze Mao, Minqi Lin, Yan Zhang, Tianhan Zhang, Zhi-Qin John Xu, Zhi X. Chen. De
 **If you have used the DNN model provided from us, please use the citation:**
 
 Han Li, Ruixin Yang, Min Zhang, Runze Mao, Zhi X. Chen. A comprehensive study on the accuracy and generalization of deep learning-generated chemical ODE integrators. `arXiv:2312.16387 <https://arxiv.org/abs/2312.16387>`_
+
+**If you have used the DFODE-kit package to train your own DNN models, please use the citation:**
+Han Li, Ke Xiao, Yangchen Xu, Haoze Zhang, Zhenyi Chen, Runze Mao, Zhi X. Chen. DFODE-Kit: Deep learning package for solving flame chemical kinetics with high-dimensional stiff ordinary differential equations. `doi.org/10.1016/j.cpc.2025.110013 <https://www.sciencedirect.com/science/article/abs/pii/S0010465525005144>`_