--- a
+++ b/aiagents4pharma/talk2biomodels/tools/load_arguments.py
@@ -0,0 +1,114 @@
+#!/usr/bin/env python3
+
+"""
+A utility module for defining the dataclasses
+for the arguments to set up initial settings
+before the experiment is run.
+"""
+
+import logging
+from dataclasses import dataclass
+from typing import Union, List, Optional, Annotated
+from pydantic import Field
+import basico
+
+# Initialize logger
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+@dataclass
+class TimeData:
+    """
+    Dataclass for storing the time data.
+    """
+    duration: Union[int, float] = Field(
+        description="Duration of the simulation",
+        default=100)
+    interval: Union[int, float] = Field(
+        description="The interval is the time step or"
+        " the step size of the simulation. It is unrelated"
+        " to the step size of species concentration and parameter values.",
+        default=100)
+
+@dataclass
+class SpeciesInitialData:
+    """
+    Dataclass for storing the species initial data.
+    """
+    species_name: List[str] = Field(
+        description="List of species whose initial concentration is to be set."
+        " This does not include species that reoccur or the species whose"
+        " concentration is to be determined/observed at the end of the experiment."
+        " Do not hallucinate the species name.",
+        default=[])
+    species_concentration: List[Union[int, float]] = Field(
+        description="List of initial concentrations of species."
+        " This does not include species that reoccur or the species whose"
+        " concentration is to be determined/observed at the end of the experiment."
+        " Do not hallucinate the species concentration.",
+        default=[])
+
+@dataclass
+class TimeSpeciesNameConcentration:
+    """
+    Dataclass for storing the time,
+    species name, and concentration data.
+    """
+    time: Union[int, float] = Field(description="time point where the event occurs")
+    species_name: str = Field(description="species name")
+    species_concentration: Union[int, float] = Field(
+        description="species concentration at the time point")
+
+@dataclass
+class ReocurringData:
+    """
+    Dataclass for species that reoccur. In other words,
+    the concentration of the species resets to a certain
+    value after a certain time interval.
+    """
+    data: List[TimeSpeciesNameConcentration] = Field(
+        description="List of time, name, and concentration data"
+                    " of species or parameters that reoccur",
+                    default=[])
+
+@dataclass
+class ArgumentData:
+    """
+    Dataclass for storing the argument data.
+    """
+    experiment_name: Annotated[str, "An AI assigned _ separated name of"
+                                    " the experiment based on human query"
+                                    " and the context of the experiment."
+                                    " This must be set before the experiment is run."]
+    time_data: Optional[TimeData] = Field(
+        description="time data",
+        default=None)
+    species_to_be_analyzed_before_experiment: Optional[SpeciesInitialData] = Field(
+        description="Data of species whose initial concentration"
+        " is to be set before the experiment. This does not include"
+        " species that reoccur or the species whose concentration"
+        " is to be determined at the end of the experiment.",
+        default=None)
+    reocurring_data: Optional[ReocurringData] = Field(
+        description="List of concentration and time data of species that"
+        " reoccur. For example, a species whose concentration resets"
+        " to a certain value after a certain time interval.",
+        default=None)
+
+def add_rec_events(model_object, reocurring_data):
+    """
+    Add reocurring events to the model.
+
+    Args:
+        model_object: The model object.
+        reocurring_data: The reocurring data.
+
+    Returns:
+        None
+    """
+    for row in reocurring_data.data:
+        tp, sn, sc = row.time, row.species_name, row.species_concentration
+        basico.add_event(f'{sn}_{tp}',
+                            f'Time > {tp}',
+                            [[sn, str(sc)]],
+                            model=model_object.copasi_model)