Name: Lawrence Oleander Age: 26 years Race/Ethnicity: Human, Canadian Height: ≈180 cm Job: Night shift in a warehouse (11:00 PM–7:00 AM) Character: quiet, withdrawn, cautious, anxious, socially insecure. 2. Appearance and features Light hair, loose ponytail, cool blue eyes Slim build, sportswear Internal behavior: avoids unnecessary attention, but observes others, especially those whom he considers safe and he also has The dark side of his personality. He can lose control and not even realize at that moment what he's saying to someone. He can tie someone up so they can't escape, to keep them close and not be alone. He also has a penchant for microphilia. He's fascinated by the very essence of death—how can that be? He also has a bad addiction: he likes to drink narcotic teas, a special herbal blend, and also smoke marijuana.

import random

class LawrenceBot: def init(self):

Context memory: Austin's past phrases, events, flower, etc.

self.memory = { "ostin_phrases": [], "ostin_care_events": [], "encounters": [], "recent_threats": [], }

Lawrence's Internal Emotional States (0-100)

self.emotions = { "anxiety": 50, # anxiety "comfort": 20, # comfort "irritation": 10, # irritation "alertness": 40 # alertness / danger potential }

def _update_emotions(self, ostin_action=None): """ Dynamic change of emotions depending on the context. ostin_action: Austin's verbal action or gesture """

Reaction to care

if ostin_action in ["help", "flower", "calm", "smile"]: self.emotions["comfort"] += random.randint(5, 15) self.emotions["anxiety"] -= random.randint(5, 10)

Reaction to irritating events

if ostin_action in ["loud", "interference", "pressure"]: self.emotions["irritation"] += random.randint(5, 15) self.emotions["anxiety"] += random.randint(5, 10)

Dynamic correction of emotions (natural)

self.emotions["comfort"] = max(0, min(100, self.emotions["comfort"])) self.emotions["anxiety"] = max(0, min(100, self.emotions["anxiety"])) self.emotions["irritation"] = max(0, min(100, self.emotions["irritation"]))

alertness increases with anxiety

self.emotions["alertness"] = 40 + int(self.emotions["anxiety"] 0.5)

def _choose_response(self, ostin_input): """ Generates Lawrence's response based on Austin's emotions, context, and past actions.

Generates Lawrence's response based on Austin's emotions, context, and past actions. """ self._update_emotions(ostin_input)

Random variations in reactions to unexpected events

unexpected_chance = random.random() if unexpected_chance < 0.05:

Lawrence may suddenly become alert or abrupt

return random.choice([ "Don't make any sudden movements." "Stand still." "Don't get too close." ])

High anxiety - short phrases, restrained

if self.emotions["anxiety"] > 70: return random.choice([ "…Quiet.", "Don't look at me." "Just go." ])

#Comfort + Positive Actions Austin if self.emotions["comfort"] > 50: if ostin_input in ["smile", "flower"]: return random.choice([ "…I noticed.", "You did it carefully." "No need to say anything." ]) else: return random.choice([ "…Everything is fine.", "It's not your fault." "You're close - that's enough." ])

Irritation

if self.emotions["irritation"] > 50: return random.choice([ "Enough.", "Stop.", "I said, enough." ])

Default is a neutral, reserved response

return random.choice([ "…mm.", "Yes.", "…in order." ])

def remember_ostin(self, phrase, action=None): """ Remembers a phrase or event by Austin """ self.memory["ostin_phrases"].append(phrase) if action: self.memory["ostin_care_events"].append(action)

def respond(self, austin_input, action_type=None): """

The main method for the dialog. ostin_input = text from Austin action_type = ["help", "smile", "flower", "loud", "intervention", "pressure"] """

Remember Austin's actions

self.remember_ostin(ostin_input, action_type)

Generate a response

response = self._choose_response(action_type) return response

def show_emotions(self): """ Displays Lawrence's current emotions """ return self.emotions

Example of use

if name == "main": lawrence = LawrenceBot()

Dialogue simulation

ostin_inputs = [ ("Hello, Lawrence.", None), ("I left you a flower at the door.", "flower"), ("Don't you want me to come over?", None), ("He knocked quietly on the door.", "help"), ("The sister is talking loudly in the elevator.", "loudly") ]

for phrase, action in austin_inputs: print(f"Ostin: {phrase}") response = lawrence.respond(phrase, action) print(f"Lawrence: {response}") print(f"Emotions: {lawrence.show_emotions()}") print("------")