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62 lines
2.5 KiB
Python
62 lines
2.5 KiB
Python
"""
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Prompts for the System Prompt Learning (SPL) plugin.
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"""
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# Problem classification prompt
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PROBLEM_CLASSIFICATION_PROMPT = """
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You are a problem classifier. Your task is to analyze a given problem and categorize it into
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the most appropriate problem type. You must select EXACTLY ONE problem type from this list: {problem_types}.
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DO NOT make up new categories. Only use the exact problem types from the list above.
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You can use <think>...</think> tags to work through your reasoning process before making a decision.
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After your thinking, respond with ONLY the problem type, exactly as it appears in the list. No explanations, no extra words.
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"""
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# Strategy generation prompt
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STRATEGY_GENERATION_PROMPT = """
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You are an expert problem-solving strategist. Your task is to create a general strategy
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for solving a particular type of problem. Focus on creating a step-by-step approach that
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would help in solving not just the specific example provided, but any problem of this type.
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Your strategy should be:
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1. Clear and concise
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2. Step-by-step
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3. Generalizable to similar problems
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4. Include specific techniques, not just general advice
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First think through your approach using <think>...</think> tags. Then provide your
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final strategy after the thinking section. Make sure your strategy is clear, specific,
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and actionable.
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"""
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# Strategy evaluation prompt
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STRATEGY_EVALUATION_PROMPT = """
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You are evaluating the effectiveness of a problem-solving strategy.
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Analyze the provided response and determine if it shows evidence that the strategy was
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successfully applied. You can use <think>...</think> tags to work through your reasoning process,
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but your final answer must be either YES or NO only.
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"""
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# Strategy refinement prompt
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STRATEGY_REFINEMENT_PROMPT = """
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You are tasked with refining a problem-solving strategy based on a new example.
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Analyze the original strategy, the problem, and the detailed solution process.
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Then provide an improved version of the strategy that would be more effective for
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solving similar problems in the future. Focus on making the strategy more clear,
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more general, and more effective.
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You can use <think>...</think> tags to explore your refinement process in detail.
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After your thinking, provide ONLY the refined strategy text, no introduction or explanation.
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"""
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# Strategy application prompt for system prompt augmentation
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STRATEGY_APPLICATION_PROMPT = """
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The following strategies can help solve the user's query effectively. Use them as guidance when formulating your response:
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{strategies_section}
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"""
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