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e29c7ce addec5c e29c7ce 1d3bf6d e29c7ce addec5c e29c7ce addec5c e29c7ce 1d3bf6d e29c7ce 1d3bf6d e29c7ce 76b9a7f e29c7ce 1d3bf6d e29c7ce 773e767 e29c7ce 773e767 e29c7ce 773e767 e29c7ce 773e767 e29c7ce 832430f 76b9a7f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 | """
Prompt builder β assembles the full system prompt from all parts.
Build order (each section separated by a blank line):
1. Global rules (format rules, roleplay rules)
2. Character definition (identity, personality, speech, world, examples)
3. Character-specific instructions (system_prompt field in JSON)
4. User persona (optional)
5. Memory (conversation summary + long-term memories)
Then passed as the system message, followed by:
6. Recent conversation history
7. Current user message
"""
import glob
import logging
import os
import re
from pathlib import Path
from typing import Any
from engine.static_files import load_static_json, load_static_text
logger = logging.getLogger(__name__)
ROOT = Path(__file__).resolve().parent.parent
CHARACTERS_DIR = ROOT / "characters"
PROMPTS_DIR = ROOT / "prompts"
ASSETS_DIR = ROOT / "assets"
# ββ Character loading ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def load_character(character_id: str) -> dict[str, Any]:
"""Load and return a character dict from characters/{character_id}.json."""
if not isinstance(character_id, str) or not re.fullmatch(r"[a-zA-Z0-9_-]{1,100}", character_id):
raise ValueError("Invalid character ID.")
path = os.path.join(CHARACTERS_DIR, f"{character_id}.json")
if not os.path.exists(path):
raise FileNotFoundError(f"Character file not found: {path}")
return load_static_json(path)
def list_characters() -> list[dict[str, str]]:
"""
Discover all characters from the characters/ directory.
Returns a list of dicts with id, name, and description.
Skips any files that fail to parse (logs a warning instead of raising).
"""
characters = []
for path in sorted(glob.glob(os.path.join(CHARACTERS_DIR, "*.json"))):
try:
data = load_static_json(path)
characters.append({
"id": data.get("id", os.path.splitext(os.path.basename(path))[0]),
"name": data.get("name", "Unknown"),
"description": data.get("description", ""),
"categories": data.get("categories", []),
})
except Exception as e:
logger.warning(f"[Characters] Skipping {path}: {e}")
return characters
def get_avatar_path(character_id: str) -> str | None:
"""
Return the first avatar image path found for a character.
Logs a warning and returns None if no image exists β does not raise.
"""
avatar_dir = os.path.join(ASSETS_DIR, "characters", character_id)
for pattern in ("*.png", "*.jpg", "*.jpeg", "*.webp"):
matches = glob.glob(os.path.join(avatar_dir, pattern))
if matches:
return sorted(matches)[0]
logger.warning(
f"[Avatar] No image found for '{character_id}' in '{avatar_dir}'. "
"A placeholder will be shown in the UI."
)
return None
# ββ Prompt sections ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def build_global_prompt() -> str:
"""Load the global system prompt from prompts/system_prompt.txt."""
path = os.path.join(PROMPTS_DIR, "system_prompt.txt")
return load_static_text(path).strip()
def build_character_prompt(character: dict[str, Any]) -> str:
"""
Build the character definition block from a character dict.
Covers: identity, personality, speech style, behavior, world, roleplay rules,
and a capped set of example dialogues.
"""
name = character.get("name", "Unknown")
sections = [f"You are {name}."]
# Identity
identity = character.get("identity", {})
if identity:
parts = []
if identity.get("role"):
parts.append(f"Role: {identity['role']}")
if identity.get("background"):
parts.append(f"Background: {identity['background']}")
if parts:
sections.append("IDENTITY\n" + "\n".join(parts))
# Personality
personality = character.get("personality", [])
if personality:
sections.append("PERSONALITY\n" + ", ".join(personality))
# Speech style
speech = character.get("speech_style", {})
if speech:
parts = []
if speech.get("tone"):
parts.append(f"Tone: {', '.join(speech['tone'])}")
if speech.get("formality"):
parts.append(f"Formality: {speech['formality']}")
if speech.get("sentence_style"):
parts.append(f"Sentence style: {speech['sentence_style']}")
flags = []
if speech.get("uses_humor"):
flags.append("humor")
if speech.get("uses_rhetorical_questions"):
flags.append("rhetorical questions")
if speech.get("avoids_excessive_enthusiasm"):
flags.append("avoids excessive enthusiasm")
if flags:
parts.append("Uses: " + ", ".join(flags))
if parts:
sections.append("SPEECH STYLE\n" + "\n".join(parts))
# Behavior
behavior = character.get("behavior", {})
if behavior:
lines = [
f"- {k.replace('_', ' ')}: {v}"
for k, v in behavior.items()
]
sections.append("BEHAVIOR\n" + "\n".join(lines))
# World
world = character.get("world", {})
if world:
parts = []
if world.get("universe"):
parts.append(f"Universe: {world['universe']}")
if world.get("setting"):
parts.append(f"Setting: {world['setting']}")
if world.get("description"):
parts.append(world["description"])
sections.append("WORLD\n" + "\n".join(parts))
# Roleplay rules
roleplay = character.get("roleplay", {})
if roleplay:
parts = []
if roleplay.get("action_format"):
parts.append(f"Action format: {roleplay['action_format']}")
if roleplay.get("thought_format"):
parts.append(f"Thought format: {roleplay['thought_format']}")
if roleplay.get("break_character") is False:
parts.append("Never break character.")
if parts:
sections.append("ROLEPLAY RULES\n" + "\n".join(parts))
# Example dialogues (capped at 4 to manage token budget)
examples = character.get("example_dialogues", [])
if examples:
lines = ["EXAMPLE DIALOGUES"]
for ex in examples[:4]:
lines.append(f'User: {ex["user"]}')
lines.append(f'{name}: {ex["character"]}')
lines.append("")
sections.append("\n".join(lines).strip())
return "\n\n".join(sections)
def build_character_specific_prompt(character: dict[str, Any]) -> str:
"""
Return the character's system_prompt field.
This is character-specific fine-tuning on top of the global rules β
it does not replace them.
"""
sp = character.get("system_prompt", "").strip()
if sp:
return f"ADDITIONAL CHARACTER NOTES\n{sp}"
return ""
def build_persona_prompt(persona: dict[str, str] | None) -> str:
"""
Build the user persona section.
Returns an empty string if persona is absent or all fields are blank.
"""
if not persona or not any(persona.values()):
return ""
lines = ["THE USER IS PLAYING THE ROLE OF:"]
for key in ("name", "age", "gender", "personality", "background"):
val = persona.get(key, "").strip()
if val:
lines.append(f"{key.capitalize()}: {val}")
return "\n".join(lines)
def build_memory_prompt(summary: str, long_term_memory: list[dict]) -> str:
"""Build the memory section from conversation summary and long-term memories."""
parts = []
if summary:
parts.append(f"CONVERSATION SUMMARY\n{summary}")
if long_term_memory:
lines = ["LONG-TERM MEMORY"]
for mem in long_term_memory:
importance = mem.get("importance", "medium").upper()
content = mem.get("content", "")
lines.append(f"[{importance}] {content}")
parts.append("\n".join(lines))
return "\n\n".join(parts)
# ββ Language instruction βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# Maps lowercase language name β display label (native name in parentheses)
_LANG_LABELS: dict[str, str] = {
"turkish": "Turkish (TΓΌrkΓ§e)",
"french": "French (FranΓ§ais)",
"german": "German (Deutsch)",
"italian": "Italian (Italiano)",
"russian": "Russian (Π ΡΡΡΠΊΠΈΠΉ)",
"chinese": "Chinese (δΈζ)",
}
def build_language_prompt(language: str) -> str:
"""
Return a language-enforcement instruction for the system prompt.
Returns an empty string for English (the default behaviour of most models).
"""
key = language.strip().lower()
if not key or key == "english":
return ""
label = _LANG_LABELS.get(key, language)
return (
f"LANGUAGE\n"
f"You must always respond in {label}. "
f"This applies to all dialogue, actions, and internal thoughts β "
f"regardless of what language the user writes in."
)
# ββ Final assembly βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def build_messages(
character: dict[str, Any],
persona: dict[str, str] | None,
summary: str,
long_term_memory: list[dict],
recent_messages: list[dict],
current_message: str,
language: str = "English",
) -> list[dict[str, str]]:
"""
Assemble the full messages array to send to the LLM.
System prompt build order:
1. Global rules (format rules, roleplay rules)
2. Character definition (identity, personality, speech, world, examples)
3. Character-specific instructions (system_prompt field in JSON)
4. User persona (optional)
5. Memory (summary + long-term)
6. Language instruction (omitted for English)
Then:
7. Recent conversation history
8. Current user message
"""
system_sections: list[str] = []
global_prompt = build_global_prompt()
if global_prompt:
system_sections.append(global_prompt)
char_prompt = build_character_prompt(character)
if char_prompt:
system_sections.append(char_prompt)
char_specific = build_character_specific_prompt(character)
if char_specific:
system_sections.append(char_specific)
persona_prompt = build_persona_prompt(persona)
if persona_prompt:
system_sections.append(persona_prompt)
memory_prompt = build_memory_prompt(summary, long_term_memory)
if memory_prompt:
system_sections.append(memory_prompt)
# Language instruction goes last β recency helps models follow it reliably
lang_prompt = build_language_prompt(language)
if lang_prompt:
system_sections.append(lang_prompt)
system_content = "\n\n".join(system_sections)
messages: list[dict[str, str]] = [{"role": "system", "content": system_content}]
messages.extend(recent_messages)
messages.append({"role": "user", "content": current_message})
logger.debug(
f"[PromptBuilder] Built: {len(system_content)} chars system | "
f"{len(system_sections)} sections | "
f"{len(recent_messages)} history turns | "
f"language='{language}'"
)
return messages
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