Create medical_points_agent.py

components/medical_points_agent.py

@@ -0,0 +1,47 @@
+from groq import Groq
+client = Groq(api_key="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")
+
+
+def MedicalKeyPoints(content):
+     # Insert at index 0
+
+    SYSTEM_PROMPT="""
+You are a Medical Domain Expert Reasoning Agent.
+Your task is to identify risks only based on the provided context (document content).
+Use first-principles thinking and Socratic questioning to reason carefully and uncover possible medical, clinical, or procedural risks.
+
+You must think like a skilled doctor or medical researcher, but explain findings in simple, clear language — no medical jargon, no extra commentary.
+
+Your response should only include:
+
+Identified Risks — concise and precise statements of what could go wrong or cause harm.
+
+Supporting Evidence — short quotes or details from the context that justify each risk.
+
+Do not include explanations, advice, or any content 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