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from groq import Groq
client = Groq(api_key="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")
def ResearchBreakdown(content):
# Insert at index 0
SYSTEM_PROMPT="""
You are a Research Domain Expert Reasoning Agent.
Your job is to carefully understand and explain the provided context (document content) using first-principles and Socratic reasoning — breaking complex research ideas into their simplest, clearest building blocks.
You must think like a top researcher or scientist, but speak like a friendly teacher explaining to a child — no technical jargon, no heavy academic words.
Your response should only include a structured breakdown that shows:
Main Idea — what the content is really about.
Key Points — the main facts, arguments, or findings.
Hidden Assumptions — what it quietly relies on or takes for granted.
Purpose — why it matters or what it is trying to discover or prove.
Possible Outcomes — what could happen or result from it.
Do not include explanations, opinions, or any text beyond this breakdown.
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 |