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Create agents/risk_agent.py
Browse files- agents/risk_agent.py +43 -0
agents/risk_agent.py
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# agents/risk_agent.py
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import os
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from openai import OpenAI
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from dotenv import load_dotenv
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# Load .env variables
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load_dotenv()
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# Initialize Groq LLM client
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client = OpenAI(
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base_url=os.getenv("GROQ_BASE_URL"),
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api_key=os.getenv("GROQ_API_KEY")
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)
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def detect_risks(clause_text):
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prompt = f"""
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You are a legal assistant and compliance risk advisor.
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Your task is to carefully review the following legal clause and identify any possible legal risks, ambiguities, or problematic conditions.
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Clause:
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{clause_text}
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Respond in this format:
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1. ⚠ Risk(s) or ambiguity in English
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2. ⚠ اردو میں قانونی خطرے کی مختصر وضاحت
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"""
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response = client.chat.completions.create(
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model="llama3-70b-8192",
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messages=[{"role": "user", "content": prompt}],
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temperature=0.5,
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)
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return response.choices[0].message.content
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# Run standalone for testing
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if __name__ == "__main__":
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clause = "شق 5: مالک مکان کرایہ بغیر اطلاع کے کسی بھی وقت بڑھا سکتا ہے۔"
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print(detect_risks(clause))
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