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from langchain.tools import tool |
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@tool(parse_docstring=True) |
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def think_tool(reflection: str) -> str: |
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"""Tool for strategic reflection on research progress and decision-making. |
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Use this tool after each search to analyze results and plan next steps systematically. |
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This creates a deliberate pause in the research workflow for quality decision-making. |
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When to use: |
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- After receiving search results: What key information did I find? |
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- Before deciding next steps: Do I have enough to answer comprehensively? |
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- When assessing research gaps: What specific information am I still missing? |
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- Before concluding research: Can I provide a complete answer now? |
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Reflection should address: |
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1. Analysis of current findings - What concrete information have I gathered? |
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2. Gap assessment - What crucial information is still missing? |
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3. Quality evaluation - Do I have sufficient evidence/examples for a good answer? |
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4. Strategic decision - Should I continue searching or provide my answer? |
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Args: |
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reflection: Your detailed reflection on research progress, findings, gaps, and next steps |
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Returns: |
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Confirmation that reflection was recorded for decision-making |
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""" |
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return f"Reflection recorded: {reflection}" |
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