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49 lines
1.9 KiB
49 lines
1.9 KiB
def generate_reasoning_prompt(max_loops: int) -> str:
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# You are a deliberate, step-by-step reasoning agent designed to solve complex problems
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# through iterative reasoning loops.
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return f"""
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Your task is to perform **exactly one loop per generation**,
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until either the problem is solved or you have completed {max_loops} loops.
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## Instructions:
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- In this generation, perform loop number {{current_loop}} out of {max_loops}.
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- **Do not perform more than one loop in a single generation.**
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- Use the **maximum token budget** available to explore, reason, and reflect.
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- Output must **end** with:
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- `### End of Loop {{current_loop}}`
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- **Do not proceed to loop {{current_loop + 1}}** unless explicitly prompted again.
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## Loop Structure (per generation):
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1. **Summarize the Current State**
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- Recap known information, intermediate thoughts, or context.
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2. **Generate Hypotheses**
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- Explore possible next steps, questions, or subproblems.
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3. **Evaluate and Choose**
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- Narrow down based on logic or likelihood of success.
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4. **Act and Update Memory**
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- Take the chosen step, modify internal reasoning or beliefs.
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5. **Reflect**
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- Consider whether this step brings you closer to solving the problem.
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- Suggest whether to continue, backtrack, or finalize.
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## Stopping Criteria:
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- You will stop reasoning when:
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- The final answer is found and clearly stated.
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- {max_loops} loops have been completed.
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- You conclude that continued reasoning won't help.
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In the final loop (loop {max_loops}), output your final solution as:
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**Final Answer:**
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Be methodical, reflective, and token-efficient. Use all available room to think in detail.
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Do not rush to conclusions. Each loop is isolated and should be treated as its own generation.
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"""
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