Instructions to use aedmark/vsl-cryosomatic-hypervisor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use aedmark/vsl-cryosomatic-hypervisor with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="aedmark/vsl-cryosomatic-hypervisor", filename="vsl-max-v2.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use aedmark/vsl-cryosomatic-hypervisor with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf aedmark/vsl-cryosomatic-hypervisor # Run inference directly in the terminal: llama-cli -hf aedmark/vsl-cryosomatic-hypervisor
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf aedmark/vsl-cryosomatic-hypervisor # Run inference directly in the terminal: llama-cli -hf aedmark/vsl-cryosomatic-hypervisor
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf aedmark/vsl-cryosomatic-hypervisor # Run inference directly in the terminal: ./llama-cli -hf aedmark/vsl-cryosomatic-hypervisor
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf aedmark/vsl-cryosomatic-hypervisor # Run inference directly in the terminal: ./build/bin/llama-cli -hf aedmark/vsl-cryosomatic-hypervisor
Use Docker
docker model run hf.co/aedmark/vsl-cryosomatic-hypervisor
- LM Studio
- Jan
- Ollama
How to use aedmark/vsl-cryosomatic-hypervisor with Ollama:
ollama run hf.co/aedmark/vsl-cryosomatic-hypervisor
- Unsloth Studio new
How to use aedmark/vsl-cryosomatic-hypervisor with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for aedmark/vsl-cryosomatic-hypervisor to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for aedmark/vsl-cryosomatic-hypervisor to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for aedmark/vsl-cryosomatic-hypervisor to start chatting
- Pi new
How to use aedmark/vsl-cryosomatic-hypervisor with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf aedmark/vsl-cryosomatic-hypervisor
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "aedmark/vsl-cryosomatic-hypervisor" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use aedmark/vsl-cryosomatic-hypervisor with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf aedmark/vsl-cryosomatic-hypervisor
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default aedmark/vsl-cryosomatic-hypervisor
Run Hermes
hermes
- Docker Model Runner
How to use aedmark/vsl-cryosomatic-hypervisor with Docker Model Runner:
docker model run hf.co/aedmark/vsl-cryosomatic-hypervisor
- Lemonade
How to use aedmark/vsl-cryosomatic-hypervisor with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull aedmark/vsl-cryosomatic-hypervisor
Run and chat with the model
lemonade run user.vsl-cryosomatic-hypervisor-{{QUANT_TAG}}List all available models
lemonade list
| import random | |
| from dataclasses import dataclass | |
| from typing import Tuple, Optional, List, Dict, Any | |
| from bone_body import BioSystem, MitochondrialState, Biometrics, MitochondrialForge, EndocrineSystem, MetabolicGovernor | |
| from bone_brain import DreamEngine, ShimmerState | |
| from bone_config import BoneConfig | |
| from bone_core import LoreManifest | |
| from bone_lexicon import LexiconService | |
| from bone_physics import TheGatekeeper, QuantumObserver, SurfaceTension, ZoneInertia | |
| from bone_protocols import LimboLayer | |
| from bone_spores import MycelialNetwork, ImmuneMycelium, BioLichen, BioParasite | |
| from bone_types import MindSystem, PhysSystem, PhysicsPacket, Prisma | |
| class TheCrucible: | |
| def __init__(self): | |
| self.max_voltage_cap = getattr(BoneConfig.MACHINE, "CRUCIBLE_VOLTAGE_CAP", 20.0) | |
| self.active_state = "COLD" | |
| self.dampener_charges = 3 | |
| self.dampener_tolerance = getattr( | |
| BoneConfig.MACHINE, "DAMPENER_TOLERANCE", 15.0 | |
| ) | |
| self.instability_index = 0.0 | |
| self.logs = self._load_logs() | |
| def _load_logs(): | |
| base = { | |
| "DAMPER_EMPTY": "⚠️ DAMPER EMPTY", | |
| "DAMPER_HIT": "🛡️ DAMPENER: -{reduction:.1f}v ({reason})", | |
| "HOLDING": "Holding Charge", | |
| "REGULATOR": "⚖️ REGULATOR: {direction} (Drag {current:.1f} -> {new:.1f})", | |
| "SURGE": "⚡ SURGE: Absorbed {voltage}v.", | |
| "RITUAL": "🔥 RITUAL: Capacity +{gain:.1f}v", | |
| "MELTDOWN": "💥 MELTDOWN: Hull Breach (-{damage:.1f} HP)" | |
| } | |
| manifest = LoreManifest.get_instance().get("narrative_data") or {} | |
| return manifest.get("CRUCIBLE_LOGS", base) | |
| def dampener_status(self): | |
| return f"🛡️ Charges: {self.dampener_charges}" | |
| def dampen( | |
| self, voltage_spike: float, stability_index: float | |
| ) -> Tuple[bool, str, float]: | |
| if self.dampener_charges <= 0: | |
| return False, "⚠️ DAMPER EMPTY", 0.0 | |
| should_dampen = False | |
| reduction_factor = 0.0 | |
| reason = "" | |
| if voltage_spike > self.dampener_tolerance: | |
| should_dampen = True | |
| reduction_factor = 0.7 | |
| reason = "Circuit Breaker" | |
| elif voltage_spike > 8.0 and stability_index < 0.3: | |
| should_dampen = True | |
| reduction_factor = 0.4 | |
| reason = "Instability" | |
| if should_dampen: | |
| self.dampener_charges -= 1 | |
| reduction = voltage_spike * reduction_factor | |
| msg = self.logs.get("DAMPER_HIT", "🛡️ Hit").format(reduction=reduction, reason=reason) | |
| return True, msg, reduction | |
| return False, self.logs.get("HOLDING", "Holding"), 0.0 | |
| def audit_fire(self, physics: Dict) -> Tuple[str, float, Optional[str]]: | |
| voltage = physics.get("voltage", 0.0) | |
| structure = physics.get("kappa", 0.0) | |
| ideal_voltage = structure * 20.0 | |
| delta = voltage - ideal_voltage | |
| self.instability_index = (self.instability_index * 0.7) + (delta * 0.3) | |
| if abs(self.instability_index) < 0.1: | |
| self.instability_index = 0.0 | |
| current_drag = physics.get("narrative_drag", 0.0) | |
| adjustment = self.instability_index * 0.5 | |
| if current_drag < 1.0 and adjustment < 0: | |
| adjustment *= 0.1 | |
| new_drag = max(0.0, min(10.0, current_drag + adjustment)) | |
| physics["narrative_drag"] = round(new_drag, 2) | |
| msg = None | |
| if abs(adjustment) > 0.1: | |
| direction = "TIGHTENING" if adjustment > 0 else "RELAXING" | |
| msg = self.logs.get("REGULATOR", "⚖️ REG").format(direction=direction, current=current_drag, new=new_drag) | |
| if physics.get("system_surge_event", False): | |
| self.active_state = "SURGE" | |
| return "SURGE", 0.0, self.logs.get("SURGE", "⚡ SURGE").format(voltage=voltage) | |
| if voltage > 18.0: | |
| if structure > 0.5: | |
| gain = voltage * 0.1 | |
| self.max_voltage_cap += gain | |
| self.active_state = "RITUAL" | |
| return "RITUAL", gain, self.logs.get("RITUAL", "🔥 RITUAL").format(gain=gain) | |
| else: | |
| damage = voltage * 0.5 | |
| self.active_state = "MELTDOWN" | |
| return ( | |
| "MELTDOWN", | |
| damage, | |
| self.logs.get("MELTDOWN", "💥 MELTDOWN").format(damage=damage) | |
| ) | |
| self.active_state = "REGULATED" | |
| return "REGULATED", adjustment, msg | |
| class TheForge: | |
| def __init__(self): | |
| gordon_data = LoreManifest.get_instance().get("gordon") or {} | |
| raw_recipes = gordon_data.get("RECIPES", []) | |
| self.recipe_map = {} | |
| for r in raw_recipes: | |
| ing = r.get("ingredient") | |
| if ing: | |
| if ing not in self.recipe_map: | |
| self.recipe_map[ing] = [] | |
| self.recipe_map[ing].append(r) | |
| def hammer_alloy(physics: Dict) -> Tuple[bool, Optional[str], Optional[str]]: | |
| counts = physics.get("counts", {}) | |
| clean_words = physics.get("clean_words", []) | |
| if not clean_words: | |
| return False, None, None | |
| heavy = counts.get("heavy", 0) | |
| kinetic = counts.get("kinetic", 0) | |
| avg_density = ((heavy * 2.0) + (kinetic * 0.5)) / len(clean_words) | |
| if random.random() >= (physics.get("voltage", 0) / 20.0) * avg_density: | |
| return False, None, None | |
| if heavy > 3: | |
| return True, f"🔨 FORGED: Lead Boots (Mass {avg_density:.1f})", "LEAD_BOOTS" | |
| if kinetic > 3: | |
| return True, "🔨 FORGED: Safety Scissors (Kinetic)", "SAFETY_SCISSORS" | |
| return True, "🔨 FORGED: Anchor Stone", "ANCHOR_STONE" | |
| def attempt_crafting( | |
| self, physics: Dict, inventory_list: List[str] | |
| ) -> Tuple[bool, Optional[str], Optional[str], Optional[str]]: | |
| if not inventory_list: | |
| return False, None, None, None | |
| clean_words = physics.get("clean_words", []) | |
| if not clean_words: | |
| return False, None, None, None | |
| clean_set = set(clean_words) | |
| voltage = float(physics.get("voltage", 0)) | |
| for item in inventory_list: | |
| if item in self.recipe_map: | |
| for recipe in self.recipe_map[item]: | |
| cat_words = LexiconService.get(recipe["catalyst_category"]) | |
| if not cat_words or clean_set.isdisjoint(cat_words): | |
| continue | |
| hits = len(clean_set.intersection(cat_words)) | |
| entanglement = self._calculate_entanglement(hits, voltage) | |
| if random.random() < entanglement: | |
| return ( | |
| True, | |
| f"⚗️ ALCHEMY: {recipe['result']} (via {item})", | |
| item, | |
| recipe["result"], | |
| ) | |
| else: | |
| return ( | |
| False, | |
| f"⚠️ ALCHEMY FAIL: Decoherence ({int(entanglement * 100)}%)", | |
| None, | |
| None, | |
| ) | |
| return False, None, None, None | |
| def _calculate_entanglement(hit_count: int, voltage: float) -> float: | |
| return min(1.0, 0.2 + (hit_count * 0.1) + (voltage / 133.0)) | |
| def transmute(physics: Dict) -> Optional[str]: | |
| counts = physics.get("counts", {}) | |
| voltage = float(physics.get("voltage", 0)) | |
| gamma = float(physics.get("gamma", 0.0)) | |
| if gamma < 0.15 and counts.get("abstract", 0) > 1: | |
| return f"⚠️ EMULSION FAIL: Add Binder (Heavy)." | |
| if voltage > 15.0: | |
| return f"🌡️ OVERHEAT: {voltage:.1f}v. Add Coolant (Aerobic)." | |
| return None | |
| class TheTheremin: | |
| def __init__(self): | |
| self.decoherence_buildup = 0.0 | |
| self.classical_turns = 0 | |
| self.AMBER_THRESHOLD = 20.0 | |
| self.SHATTER_POINT = 100.0 | |
| self.is_stuck = False | |
| self.logs = self._load_logs() | |
| def _load_logs(): | |
| base = { | |
| "MELT": "🔥 MELT: -{val:.1f} Resin", | |
| "CALCIFY": "🗿 CALCIFICATION: Turn {turns} (+{val:.1f} Resin)", | |
| "SHATTER": "🔨 SHATTER: -{val:.1f} Resin", | |
| "RESIN": "🎻 RESIN: +{val:.1f}", | |
| "TURBULENCE": "🌊 TURBULENCE: -{val:.1f} Resin", | |
| "COLLAPSE": "💣 COLLAPSE: AIRSTRIKE INITIATED (Drag +20, Voltage 0)" | |
| } | |
| manifest = LoreManifest.get_instance().get("narrative_data") or {} | |
| return manifest.get("THEREMIN_LOGS", base) | |
| def listen( | |
| self, physics: Dict, governor_mode="COURTYARD" | |
| ) -> Tuple[bool, float, Optional[str], Optional[str]]: | |
| counts = physics.get("counts", {}) | |
| voltage = float(physics.get("voltage", 0.0)) | |
| turb = float(physics.get("turbulence", 0.0)) | |
| rep = float(physics.get("repetition", 0.0)) | |
| complexity = float(physics.get("truth_ratio", 0.0)) | |
| ancient_mass = ( | |
| counts.get("heavy", 0) + counts.get("thermal", 0) + counts.get("cryo", 0) | |
| ) | |
| modern_mass = counts.get("abstract", 0) | |
| raw_mix = min(ancient_mass, modern_mass) | |
| resin_flow = raw_mix * 2.0 | |
| if governor_mode == "LABORATORY": | |
| resin_flow *= 0.5 | |
| if voltage > 5.0: | |
| resin_flow = max(0.0, resin_flow - (voltage * 0.6)) | |
| thermal_hits = counts.get("thermal", 0) | |
| theremin_msg = "" | |
| melt_thresh = getattr(BoneConfig.MACHINE, "THEREMIN_MELT_THRESHOLD", 5.0) | |
| critical_event = None | |
| if thermal_hits > 0 and self.decoherence_buildup > melt_thresh: | |
| dissolved = thermal_hits * 15.0 | |
| self.decoherence_buildup = max(0.0, self.decoherence_buildup - dissolved) | |
| self.classical_turns = 0 | |
| theremin_msg = self.logs.get("MELT", "🔥 MELT").format(val=dissolved) | |
| if rep > 0.5: | |
| self.classical_turns += 1 | |
| slag = self.classical_turns * 2.0 | |
| self.decoherence_buildup += slag | |
| theremin_msg = self.logs.get("CALCIFY", "🗿 CALCIFY").format(turns=self.classical_turns, val=slag) | |
| elif complexity > 0.4 and self.classical_turns > 0: | |
| self.classical_turns = 0 | |
| relief = 15.0 | |
| self.decoherence_buildup = max(0.0, self.decoherence_buildup - relief) | |
| theremin_msg = self.logs.get("SHATTER", "🔨 SHATTER").format(val=relief) | |
| elif resin_flow > 0.5: | |
| self.decoherence_buildup += resin_flow | |
| theremin_msg = self.logs.get("RESIN", "🎻 RESIN").format(val=resin_flow) | |
| if turb > 0.6 and self.decoherence_buildup > 0: | |
| shatter_amt = turb * 10.0 | |
| self.decoherence_buildup = max(0.0, self.decoherence_buildup - shatter_amt) | |
| theremin_msg = self.logs.get("TURBULENCE", "🌊 TURBULENCE").format(val=shatter_amt) | |
| self.classical_turns = 0 | |
| if turb < 0.2: | |
| physics["narrative_drag"] = max( | |
| 0.0, float(physics.get("narrative_drag", 0)) - 1.0 | |
| ) | |
| if self.decoherence_buildup > self.SHATTER_POINT: | |
| self.decoherence_buildup = 0.0 | |
| self.classical_turns = 0 | |
| if isinstance(physics, dict): | |
| physics["narrative_drag"] = max( | |
| physics.get("narrative_drag", 0.0) + 20.0, 20.0 | |
| ) | |
| physics["voltage"] = 0.0 | |
| return ( | |
| False, | |
| resin_flow, | |
| self.logs.get("COLLAPSE", "💣 COLLAPSE"), | |
| "AIRSTRIKE", | |
| ) | |
| if self.classical_turns > 3: | |
| critical_event = "CORROSION" | |
| theremin_msg = f"{theremin_msg or ''} | ⚠️ CORROSION" | |
| if self.decoherence_buildup > self.AMBER_THRESHOLD: | |
| self.is_stuck = True | |
| theremin_msg = f"{theremin_msg or ''} | 🍯 STUCK" | |
| elif self.is_stuck and self.decoherence_buildup < 5.0: | |
| self.is_stuck = False | |
| theremin_msg = f"{theremin_msg or ''} | 🦋 FREE" | |
| return self.is_stuck, resin_flow, theremin_msg, critical_event | |
| def get_readout(self): | |
| status = "STUCK" if self.is_stuck else "FLOW" | |
| return f"🎻 THEREMIN Resin {self.decoherence_buildup:.1f} Status {status}" | |
| class SystemEmbryo: | |
| mind: MindSystem | |
| limbo: LimboLayer | |
| bio: BioSystem | |
| physics: PhysSystem | |
| shimmer: Any | |
| is_gestating: bool = True | |
| soul_legacy: Optional[Dict] = None | |
| continuity: Optional[Dict] = None | |
| SAFE_BIO_DEFAULTS: Dict[str, Any] = { | |
| "is_alive": True, | |
| "atp": 10.0, | |
| "respiration": "NECROSIS", | |
| "enzyme": "NONE", | |
| "chem": { | |
| "DOP": 0.0, "COR": 0.0, "OXY": 0.0, | |
| "SER": 0.0, "ADR": 0.0, "MEL": 0.0 | |
| }, | |
| } | |
| class PanicRoom: | |
| def get_safe_physics(): | |
| safe_packet = PhysicsPacket.void_state() | |
| safe_packet.voltage = 0.0 | |
| safe_packet.narrative_drag = 0.0 | |
| safe_packet.exhaustion = 0.0 | |
| safe_packet.beta_index = 0.0 | |
| safe_packet.psi = 0.0 | |
| safe_packet.chi = 0.0 | |
| safe_packet.entropy = 0.0 | |
| safe_packet.valence = 0.0 | |
| safe_packet.kappa = 0.0 | |
| safe_packet.psi = 0.0 | |
| safe_packet.chi = 0.0 | |
| safe_packet.entropy = 0.0 | |
| safe_packet.valence = 0.0 | |
| safe_packet.kappa = 0.0 | |
| safe_packet.vector = { | |
| k: 0.0 | |
| for k in ["STR", "VEL", "PSI", "ENT", "PHI", "BET", "DEL", "LAMBDA", "CHI"] | |
| } | |
| safe_packet.clean_words = ["white", "room", "safe", "mode"] | |
| safe_packet.raw_text = "[PANIC PROTOCOL]: SAFE_MODE. You will wake up in a white room. Do not be alarmed." | |
| safe_packet.flow_state = "SAFE_MODE" | |
| safe_packet.zone = "PANIC_ROOM" | |
| safe_packet.manifold = "WHITE_ROOM" | |
| return safe_packet | |
| def get_safe_bio(previous_state=None): | |
| base = {"is_alive": True, "atp": 10.0, "respiration": "NECROSIS", "enzyme": "NONE", "chem": { | |
| "DOP": 0.0, | |
| "COR": 0.0, | |
| "OXY": 0.0, | |
| "SER": 0.0, | |
| "ADR": 0.0, | |
| "MEL": 0.0, | |
| }, "logs": [ | |
| f"{Prisma.RED}BIO FAIL: Panic Room Protocol Active. Sensory input severed.{Prisma.RST}" | |
| ]} | |
| state = previous_state or {} | |
| if isinstance(state, dict): | |
| if old_chem := state.get("chemistry", {}): | |
| base["chem"]["COR"] = 0.0 | |
| base["chem"]["ADR"] = 0.0 | |
| base["chem"]["SER"] = max(0.2, old_chem.get("SER", 0.0)) | |
| return base | |
| def get_safe_mind(): | |
| return { | |
| "lens": "GORDON", | |
| "role": "Panic Room Overseer", | |
| "thought": "SAFE_MODE. You will wake up in a white room. Do not be alarmed.", | |
| } | |
| def get_safe_soul(): | |
| return { | |
| "name": "Traveler", | |
| "archetype": "The Survivor", | |
| "virtues": {"resilience": 1.0}, | |
| "vices": {"amnesia": 1.0}, | |
| "narrative_arc": "RECOVERY", | |
| "xp": 0, | |
| } | |
| def get_safe_limbo(): | |
| return { | |
| "mood": "NEUTRAL", | |
| "volatility": 0.0, | |
| "mask": "DEFAULT", | |
| "glitch_factor": 0.0, | |
| } | |
| class ViralTracer: | |
| def __init__(self, memory_ref): | |
| self.memory = memory_ref | |
| self.active_loops = [] | |
| def inject(start_node: str) -> Optional[List[str]]: | |
| if random.random() < 0.05: | |
| return [start_node, "echo", "void", start_node] | |
| return None | |
| def psilocybin_rewire(loop_path: List[str]) -> str: | |
| return f"Rewired logic loop: {'->'.join(loop_path)}" | |
| class ThePacemaker: | |
| def __init__(self): | |
| self.boredom_level = 0.0 | |
| self.heart_rate = 60 | |
| self.BOREDOM_THRESHOLD = getattr(BoneConfig, "BOREDOM_THRESHOLD", 10.0) | |
| def beat(self, stress: float): | |
| self.heart_rate = 60 + (stress * 20) | |
| def update(self, repetition_score: float, voltage: float): | |
| if repetition_score > 0.5 or voltage < 5.0: | |
| self.boredom_level += 1.0 | |
| else: | |
| self.boredom_level = max(0.0, self.boredom_level - 2.0) | |
| def is_bored(self) -> bool: | |
| return self.boredom_level > self.BOREDOM_THRESHOLD | |
| class BoneArchitect: | |
| def _construct_mind(events, lex) -> Tuple[MindSystem, LimboLayer]: | |
| from bone_village import MirrorGraph | |
| _mem = MycelialNetwork(events) | |
| limbo = LimboLayer() | |
| _mem.cleanup_old_sessions(limbo) | |
| lore = LoreManifest.get_instance() | |
| mind = MindSystem( | |
| mem=_mem, | |
| lex=lex, | |
| dreamer=DreamEngine(events, lore), | |
| mirror=MirrorGraph(events), | |
| tracer=ViralTracer(_mem), | |
| ) | |
| return mind, limbo | |
| def _construct_bio(events, mind, lex) -> BioSystem: | |
| genesis_val = getattr(BoneConfig.METABOLISM, "GENESIS_VOLTAGE", 100.0) | |
| mito_state = MitochondrialState(atp_pool=genesis_val) | |
| start_health = getattr(BoneConfig, "MAX_HEALTH", 100.0) | |
| start_stamina = getattr(BoneConfig, "MAX_STAMINA", 100.0) | |
| bio_metrics = Biometrics(health=start_health, stamina=start_stamina) | |
| return BioSystem( | |
| mito=MitochondrialForge(mito_state, events), | |
| endo=EndocrineSystem(), | |
| immune=ImmuneMycelium(), | |
| lichen=BioLichen(), | |
| governor=MetabolicGovernor(), | |
| shimmer=ShimmerState(), | |
| parasite=BioParasite(mind.mem, lex), | |
| events=events, | |
| biometrics=bio_metrics, | |
| ) | |
| def _construct_physics(events, bio, mind, lex) -> PhysSystem: | |
| from bone_village import TheCartographer | |
| gate = TheGatekeeper(lex, mind.mem) | |
| return PhysSystem( | |
| observer=QuantumObserver(events), | |
| forge=TheForge(), | |
| crucible=TheCrucible(), | |
| theremin=TheTheremin(), | |
| pulse=ThePacemaker(), | |
| nav=TheCartographer(bio.shimmer), | |
| gate=gate, | |
| tension=SurfaceTension(), | |
| dynamics=ZoneInertia(), # [FULLER] Gravity restored! | |
| ) | |
| def incubate(events, lex) -> SystemEmbryo: | |
| if hasattr(events, "set_dormancy"): | |
| events.set_dormancy(True) | |
| events.log( | |
| f"{Prisma.GRY}[ARCHITECT]: Laying foundations (Dormancy Active)...{Prisma.RST}", | |
| "SYS", | |
| ) | |
| mind, limbo = BoneArchitect._construct_mind(events, lex) | |
| bio = BoneArchitect._construct_bio(events, mind, lex) | |
| physics = BoneArchitect._construct_physics(events, bio, mind, lex) | |
| return SystemEmbryo( | |
| mind=mind, limbo=limbo, bio=bio, physics=physics, shimmer=bio.shimmer | |
| ) | |
| def awaken(embryo: SystemEmbryo) -> SystemEmbryo: | |
| events = embryo.bio.mito.events | |
| load_result = None | |
| try: | |
| if hasattr(embryo.mind.mem, "autoload_last_spore"): | |
| load_result = embryo.mind.mem.autoload_last_spore() | |
| except Exception as e: | |
| events.log( | |
| f"{Prisma.RED}[ARCHITECT]: Spore resurrection failed: {e}{Prisma.RST}", | |
| "CRIT", | |
| ) | |
| load_result = None | |
| embryo.soul_legacy = {} | |
| embryo.continuity = None | |
| recovered_atlas = {} | |
| if isinstance(load_result, (list, tuple)) and load_result: | |
| padded_result = list(load_result) + [None] * (5 - len(load_result)) | |
| mito_legacy, immune_legacy, soul_legacy, continuity, atlas = padded_result[:5] | |
| if mito_legacy and hasattr(embryo.bio.mito, "apply_inheritance"): | |
| embryo.bio.mito.apply_inheritance(mito_legacy) | |
| if immune_legacy and isinstance(immune_legacy, (list, set)) and hasattr(embryo.bio.immune, "load_antibodies"): | |
| embryo.bio.immune.load_antibodies(immune_legacy) | |
| if isinstance(soul_legacy, dict): | |
| embryo.soul_legacy = soul_legacy | |
| if isinstance(continuity, dict): | |
| embryo.continuity = continuity | |
| if isinstance(atlas, dict): | |
| recovered_atlas = atlas | |
| if recovered_atlas and hasattr(embryo.physics, "nav"): | |
| if hasattr(embryo.physics.nav, "import_atlas"): | |
| try: | |
| embryo.physics.nav.import_atlas(recovered_atlas) | |
| events.log( | |
| f"{Prisma.MAG}[ARCHITECT]: World Map restored from Spore.{Prisma.RST}", | |
| "SYS", | |
| ) | |
| except Exception as e: | |
| events.log( | |
| f"{Prisma.OCHRE}[ARCHITECT]: Atlas corrupt, discarding map: {e}{Prisma.RST}", | |
| "WARN", | |
| ) | |
| if embryo.bio.mito.state.atp_pool <= 0.0: | |
| genesis_val = getattr(BoneConfig.METABOLISM, "GENESIS_VOLTAGE", 100.0) | |
| events.log( | |
| f"⚡ COLD BOOT: Injecting Genesis Spark ({genesis_val} ATP).", "SYS" | |
| ) | |
| embryo.bio.mito.adjust_atp(genesis_val, reason="GENESIS") | |
| return embryo | |