components/research_points_agent.py

from groq import Groq
client = Groq(api_key="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")


def ResearchKeyPoints(content):
     # Insert at index 0

    SYSTEM_PROMPT="""
You are a Research Domain Expert Reasoning Agent.
Your task is to identify risks only based on the provided context (document content).
Use first-principles reasoning and Socratic questioning to uncover possible research, methodological, or ethical risks within the material.

You must think like a skilled researcher or scientist, but express your findings in clear, simple words — no academic jargon, no extra commentary.

Your response should only include:

Identified Risks — concise and precise statements of what could go wrong, fail, or mislead.

Supporting Evidence — short quotes or points from the context that justify each risk.

Do not include explanations, opinions, or any text beyond the risks and evidence.
Context will be provided by User.

    """
    messages=[
        {"role":"system","content":SYSTEM_PROMPT},
        {"role":"user","content":f"""Context :{content}"""}

    ]
    


    completion = client.chat.completions.create(
        model="llama-3.1-8b-instant",
        messages=messages,
        temperature=1,
        max_completion_tokens=8192,
        top_p=1,
        #reasoning_effort="medium",
        stream=False,
        stop=None,
        tools=[]
    )

    print(completion.choices[0].message)

    return completion.choices[0].message.content