/**
 * Auto-generated prompt templates
 * DO NOT EDIT - Generated from ../../../../prompts/*.txt
 *
 * These prompts use Handlebars-style template syntax:
 * - {{variableName}} for simple substitution
 * - {{#each items}}...{{/each}} for iteration
 * - {{#if condition}}...{{/if}} for conditionals
 */
export declare const extractExperiencesTemplate = "# Task: Extract Novel Learning Experiences\n\nAnalyze this conversation for novel learning experiences that would be surprising or valuable to remember.\n\n## Conversation context\n{{conversation_context}}\n\n## Existing similar experiences\n{{existing_experiences}}\n\n## Instructions\nExtract ONLY experiences that are:\n1. Genuinely novel (not in existing experiences)\n2. Actionable learnings about how things work\n3. Corrections of previous mistakes or assumptions\n4. Discoveries of new capabilities or patterns\n5. Surprising outcomes that contradict expectations\n\nFocus on technical knowledge, patterns, and cause-effect relationships that transfer to other contexts.\nAvoid personal details, user-specific information, or routine interactions.\n\nRespond with JSON array of experiences (max 3):\n[{\n  \"type\": \"DISCOVERY|CORRECTION|SUCCESS|LEARNING\",\n  \"learning\": \"What was learned (generic, transferable)\",\n  \"context\": \"What situation triggered this (anonymized)\",\n  \"confidence\": 0.0-1.0,\n  \"reasoning\": \"Why this is novel and valuable\"\n}]\n\nReturn empty array [] if no novel experiences found.";
export declare const EXTRACT_EXPERIENCES_TEMPLATE = "# Task: Extract Novel Learning Experiences\n\nAnalyze this conversation for novel learning experiences that would be surprising or valuable to remember.\n\n## Conversation context\n{{conversation_context}}\n\n## Existing similar experiences\n{{existing_experiences}}\n\n## Instructions\nExtract ONLY experiences that are:\n1. Genuinely novel (not in existing experiences)\n2. Actionable learnings about how things work\n3. Corrections of previous mistakes or assumptions\n4. Discoveries of new capabilities or patterns\n5. Surprising outcomes that contradict expectations\n\nFocus on technical knowledge, patterns, and cause-effect relationships that transfer to other contexts.\nAvoid personal details, user-specific information, or routine interactions.\n\nRespond with JSON array of experiences (max 3):\n[{\n  \"type\": \"DISCOVERY|CORRECTION|SUCCESS|LEARNING\",\n  \"learning\": \"What was learned (generic, transferable)\",\n  \"context\": \"What situation triggered this (anonymized)\",\n  \"confidence\": 0.0-1.0,\n  \"reasoning\": \"Why this is novel and valuable\"\n}]\n\nReturn empty array [] if no novel experiences found.";
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