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