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import asyncio |
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from mcp.openai_utils import ai_qa |
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from mcp.gemini import gemini_qa |
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async def draft_protocol(question: str, context: str, llm: str = "openai") -> str: |
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""" |
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Draft a detailed experimental protocol for a given hypothesis/question. |
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""" |
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if llm.lower() == "gemini": |
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qa_fn = gemini_qa |
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else: |
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qa_fn = ai_qa |
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prompt = ( |
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"You are a senior researcher. Draft a step-by-step experimental protocol to test: " |
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f"{question}\nContext:\n{context}\nInclude materials, methods, controls, expected outcomes." |
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) |
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return await qa_fn(prompt) |
