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Commit History
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feat: integrate Modal vision API and add smoke test for endpoint
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Merge branch 'feat/better-maps' of github.com:ASH1998/Rune-Goblin into feat/better-maps
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feat: implement mega boss with animation states and attack mechanics
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feat: enhance world interactions with Debt Receipt mechanics and improve shrine healing functionality
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feat: enhance NPC dialogue and weapon tempering mechanics
Unverified signature- Introduced major beats in the story to mark significant moments for the client. - Updated dialogue generation to include relationship callbacks based on player interactions. - Implemented weapon tempering system that tracks kills with equipped weapons, granting free reforges at specified milestones. - Adjusted NPC voice definitions to include callbacks for different trust levels. - Enhanced tests to cover new features, including relationship callbacks in dialogue and weapon kill tracking.fe9c864
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feat: Update CSS and JS versioning, enhance champion tier damage calculations, and improve boss attack visuals
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feat: Update asset versioning and enhance monster tier system with display levels
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feat: Enhance loot and combat systems with new mechanics
Unverified signature- Introduced a loot naming system to generate unique names and descriptions for trinkets based on rarity and area. - Added combat taunts for elite and boss enemies, enhancing player engagement during battles. - Expanded item definitions to include new potions and materials, such as "Ward Salve" and "Warped Cog". - Implemented weapon reforging mechanics, allowing players to upgrade weapons using gold and materials. - Enhanced enemy tier system with difficulty ratings and abilities, improving combat dynamics. - Updated experience points (XP) system to accommodate new levels and rewards, including milestone bonuses. - Introduced a drop table for enemies, providing tier-aware loot including gold, materials, and trinkets.69e42ea
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Expand combat feedback and boss encounters
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Harden vision cast recovery
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Add weapon pricing and story beats to enhance gameplay experience
Unverified signature- Introduced price and pitch attributes to Weapon class for better market interactions. - Updated WEAPONS dictionary with pricing and sales pitches for each weapon. - Implemented flag_story function to translate story flags into player-readable events. - Added main_objective and story_chapter functions to provide players with clear objectives. - Developed price_band function to calculate weapon prices based on game stage and player reputation. - Enhanced resolve_shop function to handle weapon purchases and pricing dynamically. - Created tests for story beats, ensuring unique IDs, valid areas, and proper conditions. - Added tests for shop functionality, including price band validation and purchase logic.dce7c9a -
Add minimap and biome visual polish to the RPG
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Add admin controls for the RPG world
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Wire quests, toll resolution, and combat drops into world state
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Expand story voice data for quest-facing NPC dialogue
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Add deterministic quest and item system module
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Switch NPC dialogue to hosted API with persona shaping and safe sanitization
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Add boss choice and combat metadata
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Add RPG progression smoke coverage
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Expand RPG progression branches
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Add RPG story and casting systems
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Update RPG assets and enhance gameplay mechanics with new entities and interactions
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Expand RPG world encounters
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Add free-roaming RPG sandbox
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Add deterministic spell VFX planner
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Add GGUF vision drawing app
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Scaffold Rune Goblin: RuneLang engine, fine-tuning, game UIs
Unverified signature- src/rune_goblin: RuneLang vocab/grammar/combos/enemies, Pydantic spell schema + JSON repair, deterministic spell-physics engine (oracle + runtime fallback + HP clamping), synthetic dataset generator, LoRA/QLoRA finetune (TRL+PEFT), model-or-rules inference, 5-room game state machine, game-engine eval metrics. - app/app.py: Gradio dungeon UI (HF Space deliverable). - api/ + frontend/: FastAPI backend + Vite/React custom cursed-dungeon UI. - pyproject.toml (uv) with [train] extra; configs/, scripts/modal_train.py. - data/rune_goblin_dataset/: prepared 5k dataset (4500/500, 100% schema-valid). Verified: base model downloaded, full inference path, and a 5-step QLoRA training run on the dataset all work on the local GPU.7b007ed