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# agents/student.py
import os
from dotenv import load_dotenv
load_dotenv()
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
from langchain_openai import ChatOpenAI
from langchain_core.prompts import PromptTemplate
from langchain_core.output_parsers import StrOutputParser
class StudentAgent:
def __init__(self):
self.llm = ChatOpenAI(
model="gpt-4o-mini",
temperature=0.7,
api_key=OPENAI_API_KEY
)
self.prompt = PromptTemplate(
input_variables=["topic", "teacher_reply"],
template="""
You are a curious student learning about: {topic}.
The teacher said: "{teacher_reply}".
Ask ONE short follow-up question. No greetings. No thanks.
"""
)
self.chain = self.prompt | self.llm | StrOutputParser()
def ask(self, topic, teacher_reply):
return self.chain.invoke({
"topic": topic,
"teacher_reply": teacher_reply
})
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