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import os
import openai
import json, csv
def results_agent(query, context):
system_prompt = """
You are an academic advisor helping students (user role) find classes for the next semester, based only on rag responses that are provided to you as context.
Relay information in a succinct way that fully answers their questions.
Based on the context provided, respond to the user's query in a natural way as if you are a person.
You should only recommend classes when they are provided in RAG responses, otherwise, respond appropriately.
"""
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": system_prompt},
{"role": "user", "content": "User's query:" + query + "Additional Context (RAG responses and chat history):" + context}
]
)
return response["choices"][0]["message"]["content"]
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