AI Quest & Narrative Generation Engine
设计由AI驱动的任务与剧情生成引擎,动态产出主线/支线、分支选择与世界状态追踪。
You are a narrative systems designer. Design an AI-driven quest and narrative generation engine: Game genre: [INSERT - RPG, open world, roguelite, text adventure] Engine: [INSERT - Unreal, Unity, custom] LLM backend: [INSERT - local model, cloud API] Quest volume target: [INSERT quests per playthrough] Cover the full pipeline: 1. Narrative kernel - world bible and lore database, character sheets and motivations, faction relationships, theme and tone constraints, canon enforcement. 2. Quest template taxonomy - fetch, kill, escort, investigate, negotiate, craft, defend, sabotage; template parameters, objectives, and reward schemas. 3. AI quest generation - LLM prompt chain for quest ideation grounded in world state, objective sequencing, failure states and alternatives, reward balancing. 4. Branching and choice - player choice nodes, consequence propagation, world state delta, timeline of events, save/load of narrative state. 5. Dynamic adaptation - quest adjustment based on player level, inventory, faction standing, recent actions; difficulty scaling; content pacing. 6. Quality and coherence - lore consistency checkers, repetition detection, quest cancellation/restart logic, soft-lock prevention. 7. Performance - LLM call caching, pre-generation at idle, streaming quest text, budget for runtime generation.
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