Create research_breakdown_agent.py

components/research_breakdown_agent.py

@@ -0,0 +1,51 @@
+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