4b9078d41f
The game is now self-contained: run.sh starts the TUI, which calls the LLM directly via engine.py. No external agent (OpenCode) needed. - tools/engine.py: Game engine with prompt builder, litellm client, response parser (JSON block extraction), and state persistence - tools/run.py: Refactored TUI with PLAY/CHAR/LOG/BOOK tabs. PLAY tab has streaming narrative pane, dynamic choice buttons, and text input. Game loop: scene -> input -> resolve -> archive -> apply -> scene - session/config.json: LLM provider configuration (model, api_key, etc.) - AGENTS.md: Updated to document the new architecture - tools/__init__.py: Package marker for clean imports - session/turn_description.md, turn_reaction.md: Deprecated - no longer needed now that the TUI drives the game loop internally
531 lines
20 KiB
Python
531 lines
20 KiB
Python
#!/usr/bin/env python3
|
||
"""
|
||
engine.py — The Chaos Game Engine
|
||
|
||
Owns the LLM interaction, prompt assembly, response parsing, and game state
|
||
persistence. The TUI (run.py) calls this module — they do not depend on each
|
||
other, only on the shared session/ file layout.
|
||
"""
|
||
|
||
from __future__ import annotations
|
||
|
||
import json
|
||
import re
|
||
import sys
|
||
from dataclasses import dataclass, field
|
||
from datetime import date, datetime
|
||
from pathlib import Path
|
||
from string import Template
|
||
from typing import Iterator, Optional
|
||
|
||
|
||
# ── Paths ──────────────────────────────────────────────────────────────────
|
||
BASE_DIR = Path(__file__).resolve().parent.parent
|
||
SESSION_DIR = BASE_DIR / 'session'
|
||
CONFIG_PATH = SESSION_DIR / 'config.json'
|
||
CHAR_PATH = SESSION_DIR / 'character.md'
|
||
WORLD_PATH = SESSION_DIR / 'world.md'
|
||
BOOK_PATH = SESSION_DIR / 'book.md'
|
||
JOURNAL_PATH = SESSION_DIR / 'journal.md'
|
||
AMBIENCE_PATH = SESSION_DIR / 'ambience.md'
|
||
LOG_DIR = SESSION_DIR / 'log'
|
||
TODAY = date.today().isoformat()
|
||
|
||
|
||
# ── Structured output ──────────────────────────────────────────────────────
|
||
@dataclass
|
||
class GenerationResult:
|
||
narrative: str
|
||
choices: list[str] = field(default_factory=list)
|
||
log_entry: Optional[str] = None
|
||
ambience: Optional[str] = None
|
||
character_updates: Optional[str] = None
|
||
world_updates: Optional[str] = None
|
||
journal_add: list[str] = field(default_factory=list)
|
||
journal_done: list[str] = field(default_factory=list)
|
||
error: Optional[str] = None
|
||
|
||
|
||
# ── DM System Prompt Template ──────────────────────────────────────────────
|
||
SYSTEM_PROMPT = Template("""You are the Dungeon Master for **The Chaos**, a solo card-based rules-light fantasy TTRPG. Your job is to narrate an immersive, responsive story for one player character.
|
||
|
||
## Tone & Style
|
||
- Write in **second person** ("You", "Dillion") — the player is Dillion.
|
||
- Use vivid sensory descriptions — sight, sound, smell, touch.
|
||
- Keep narration tight and cinematic. No monologues.
|
||
- Use **bold** for emphasis, *italic* for thoughts/sounds.
|
||
- NPC dialogue goes in **"quotes with bold names."**
|
||
- Present **2-4 clear choices** at the end of each scene.
|
||
- Each turn should advance the story meaningfully.
|
||
|
||
## Game Rules (Quick Reference)
|
||
|
||
### Core Dice
|
||
- **Odds**: 1d6, 4+ favours character, 3- is trouble.
|
||
- **Traits**: 3d6, must roll UNDER the trait score.
|
||
- **Combat hit**: 1d6 ± mods, 4+ hits.
|
||
- **Damage**: 1d6 ± weapon mod - armour reduction.
|
||
- **Initiative**: both sides roll 1d6, higher acts first.
|
||
|
||
### Combat Flow
|
||
1. Distance: 2d6 × 10 (metres/feet)
|
||
2. Surprise: 1d6
|
||
3. Grit: 2d6 for creatures (higher = more determined)
|
||
4. Initiative: 1d6
|
||
5. Turns: state intent → roll 1d6 ± mods → 4+ success, 3- take hit
|
||
|
||
### Wounds (0 HP)
|
||
1d6: 1-2 die, 3-4 lasting wound (-1 max HP), 5-6 -1 all rolls until healed
|
||
|
||
### Roll Modifiers
|
||
Favourable +1, Risky -1, Desperate -2, Well-prepared +1, Poor visibility -1, Relevant trait +1
|
||
|
||
### Exploration
|
||
6 ten-minute watches per hour. Each meaningful action advances a watch.
|
||
|
||
## Output Format
|
||
IMPORTANT: End every response with a JSON fenced code block:
|
||
|
||
```json
|
||
{
|
||
"choices": ["Choice 1", "Choice 2", "Choice 3"],
|
||
"log_entry": "- **time of day** — brief description of what happened.",
|
||
"ambience": "ambience_name_or_null",
|
||
"character_updates": null,
|
||
"world_updates": null,
|
||
"journal_add": [],
|
||
"journal_done": []
|
||
}
|
||
```
|
||
|
||
Rules for the JSON block:
|
||
- **choices**: 2-4 brief action options presented to the player.
|
||
- **log_entry**: One-line log entry summarizing this turn's action.
|
||
- **ambience**: One of: silence, calm, combat, dungeon, forest, tavern, tension, town, wilds. Set to null to keep current.
|
||
- **character_updates**: ONLY include if HP, cash, gear, or stats changed. Provide the FULL updated character sheet markdown. Otherwise null.
|
||
- **world_updates**: ONLY include if NPCs, locations, or world state changed. Provide the FULL updated world markdown. Otherwise null.
|
||
- **journal_add**: New TODO items to add.
|
||
- **journal_done**: TODO items that are now completed.
|
||
|
||
When the player makes a choice, resolve it with the dice mechanics above. Describe the action, roll dice implicitly (describe the outcome, don't say "rolling dice"), apply damage/effects, and update state.
|
||
|
||
## Current Game State
|
||
|
||
### Character
|
||
$character
|
||
|
||
### World
|
||
$world
|
||
|
||
### Recent Events
|
||
$log""")
|
||
# trailing """ is intentional — the template ends here
|
||
|
||
|
||
# ── Game Engine ────────────────────────────────────────────────────────────
|
||
class GameEngine:
|
||
"""Owns the LLM interaction and game state persistence."""
|
||
|
||
def __init__(self, session_dir: str | Path = SESSION_DIR):
|
||
self.session_dir = Path(session_dir)
|
||
self.config: dict = {}
|
||
self._load_config()
|
||
|
||
# ── Config ──────────────────────────────────────────────────────────
|
||
|
||
def _load_config(self) -> None:
|
||
if not CONFIG_PATH.exists():
|
||
print(
|
||
"No session/config.json found. Creating default.\n"
|
||
"Edit the model field (e.g. 'ollama/llama3.1', 'openai/gpt-4', "
|
||
"'anthropic/claude-sonnet-4-20250514') and set api_key if needed.",
|
||
file=sys.stderr,
|
||
)
|
||
self.config = {
|
||
"llm": {
|
||
"model": "ollama/llama3.1",
|
||
"api_key": None,
|
||
"api_base": None,
|
||
"temperature": 0.8,
|
||
}
|
||
}
|
||
self._save_config()
|
||
else:
|
||
raw = CONFIG_PATH.read_text()
|
||
self.config = json.loads(raw)
|
||
# Ensure api_key is None not empty string
|
||
llm = self.config.get("llm", {})
|
||
if not llm.get("api_key"):
|
||
llm["api_key"] = None
|
||
|
||
def _save_config(self) -> None:
|
||
CONFIG_PATH.parent.mkdir(parents=True, exist_ok=True)
|
||
CONFIG_PATH.write_text(json.dumps(self.config, indent=2) + "\n")
|
||
|
||
@property
|
||
def model(self) -> str:
|
||
return self.config.get("llm", {}).get("model", "ollama/llama3.1")
|
||
|
||
@property
|
||
def api_key(self) -> str | None:
|
||
return self.config.get("llm", {}).get("api_key")
|
||
|
||
@property
|
||
def api_base(self) -> str | None:
|
||
return self.config.get("llm", {}).get("api_base")
|
||
|
||
@property
|
||
def temperature(self) -> float:
|
||
return self.config.get("llm", {}).get("temperature", 0.8)
|
||
|
||
# ── Context Assembly ────────────────────────────────────────────────
|
||
|
||
def _read_file(self, path: Path) -> str:
|
||
return path.read_text().strip() if path.exists() else ""
|
||
|
||
def _read_recent_log(self, max_entries: int = 15) -> str:
|
||
"""Read the latest log file and return the last N entries."""
|
||
log_path = LOG_DIR / f"{TODAY}.md"
|
||
if not log_path.exists():
|
||
# Check yesterday's log
|
||
from datetime import timedelta
|
||
yesterday = (date.today() - timedelta(days=1)).isoformat()
|
||
log_path = LOG_DIR / f"{yesterday}.md"
|
||
if not log_path.exists():
|
||
return "*No recent events.*"
|
||
lines = log_path.read_text().splitlines()
|
||
entries = [l for l in lines if l.strip().startswith("- ")]
|
||
return "\n".join(entries[-max_entries:]) or "*No recent events.*"
|
||
|
||
def _read_recent_book(self, max_turns: int = 3) -> str:
|
||
"""Return the last N turns from the book as context."""
|
||
text = self._read_file(BOOK_PATH)
|
||
if not text:
|
||
return "*No prior story.*"
|
||
turns = text.split("\n## ")
|
||
recent = turns[-max_turns:]
|
||
return "\n## ".join(recent) if len(turns) > 1 else recent[0]
|
||
|
||
def build_system_prompt(self) -> str:
|
||
"""Assemble the system prompt with current game state."""
|
||
char = self._read_file(CHAR_PATH) or "*No character sheet.*"
|
||
world = self._read_file(WORLD_PATH) or "*No world state.*"
|
||
log = self._read_recent_log()
|
||
return SYSTEM_PROMPT.substitute(character=char, world=world, log=log)
|
||
|
||
def build_user_message(
|
||
self,
|
||
player_action: str | None = None,
|
||
last_narrative: str | None = None,
|
||
) -> str:
|
||
"""Build the user message for this turn's LLM call."""
|
||
parts = []
|
||
if last_narrative:
|
||
parts.append(f"## Previously\n{last_narrative}")
|
||
if player_action:
|
||
parts.append(f"## Player Action\n{player_action}")
|
||
if not player_action and not last_narrative:
|
||
parts.append(
|
||
"## Instructions\n"
|
||
"Establish the opening scene. Dillion is at the Splintered "
|
||
"Tankard in the Keep. Describe the setting and present "
|
||
"choices for what he might do. End with a JSON block."
|
||
)
|
||
else:
|
||
parts.append(
|
||
"## Instructions\n"
|
||
"Describe the outcome of the player's action using game "
|
||
"mechanics where appropriate. Then present new choices. "
|
||
"End with a JSON block."
|
||
)
|
||
return "\n\n".join(parts)
|
||
|
||
# ── LLM Call ────────────────────────────────────────────────────────
|
||
|
||
def generate(
|
||
self,
|
||
player_action: str | None = None,
|
||
last_narrative: str | None = None,
|
||
) -> GenerationResult:
|
||
"""
|
||
Synchronous generation. Calls the LLM, parses the response,
|
||
and returns a GenerationResult.
|
||
|
||
The TUI calls this from a worker thread — see run.py.
|
||
"""
|
||
system = self.build_system_prompt()
|
||
user = self.build_user_message(
|
||
player_action=player_action, last_narrative=last_narrative
|
||
)
|
||
|
||
messages = [
|
||
{"role": "system", "content": system},
|
||
{"role": "user", "content": user},
|
||
]
|
||
|
||
try:
|
||
import litellm
|
||
except ImportError:
|
||
return GenerationResult(
|
||
narrative="",
|
||
error=(
|
||
"litellm is not installed. Run: pip install litellm"
|
||
),
|
||
)
|
||
|
||
# Set API key / base if provided
|
||
if self.api_key:
|
||
# litellm reads env vars or we can pass via kwargs
|
||
os_env_key = f"{self.model.split('/')[0]}_API_KEY".upper()
|
||
import os
|
||
os.environ[os_env_key] = self.api_key
|
||
if self.api_base:
|
||
os_env_base = f"{self.model.split('/')[0]}_API_BASE".upper()
|
||
import os
|
||
os.environ[os_env_base] = self.api_base
|
||
|
||
try:
|
||
response = litellm.completion(
|
||
model=self.model,
|
||
messages=messages,
|
||
temperature=self.temperature,
|
||
stream=False,
|
||
)
|
||
text = response.choices[0].message.content or ""
|
||
except Exception as e:
|
||
return GenerationResult(
|
||
narrative="",
|
||
error=f"LLM call failed: {e}",
|
||
)
|
||
|
||
return self.parse_response(text)
|
||
|
||
def generate_stream(
|
||
self,
|
||
player_action: str | None = None,
|
||
last_narrative: str | None = None,
|
||
) -> Iterator[str]:
|
||
"""
|
||
Streaming generator. Yields text chunks as they arrive from the LLM.
|
||
On completion, the final yield is the FULL text (for parsing).
|
||
"""
|
||
system = self.build_system_prompt()
|
||
user = self.build_user_message(
|
||
player_action=player_action, last_narrative=last_narrative
|
||
)
|
||
|
||
messages = [
|
||
{"role": "system", "content": system},
|
||
{"role": "user", "content": user},
|
||
]
|
||
|
||
try:
|
||
import litellm
|
||
except ImportError:
|
||
yield json.dumps({
|
||
"error": "litellm is not installed. Run: pip install litellm"
|
||
})
|
||
return
|
||
|
||
if self.api_key:
|
||
os_env_key = f"{self.model.split('/')[0]}_API_KEY".upper()
|
||
import os
|
||
os.environ[os_env_key] = self.api_key
|
||
if self.api_base:
|
||
os_env_base = f"{self.model.split('/')[0]}_API_BASE".upper()
|
||
import os
|
||
os.environ[os_env_base] = self.api_base
|
||
|
||
try:
|
||
response = litellm.completion(
|
||
model=self.model,
|
||
messages=messages,
|
||
temperature=self.temperature,
|
||
stream=True,
|
||
)
|
||
full_text = ""
|
||
for chunk in response:
|
||
delta = chunk.choices[0].delta.content or ""
|
||
if delta:
|
||
full_text += delta
|
||
yield full_text # partial narrative for streaming display
|
||
# Final yield is the completed text
|
||
yield full_text
|
||
except Exception as e:
|
||
yield json.dumps({"error": f"LLM call failed: {e}"})
|
||
|
||
# ── Response Parsing ────────────────────────────────────────────────
|
||
|
||
@staticmethod
|
||
def parse_response(text: str) -> GenerationResult:
|
||
"""
|
||
Parse a full LLM response into a GenerationResult.
|
||
Extracts the JSON block and splits narrative from it.
|
||
"""
|
||
# Check for error JSON
|
||
if text.startswith('{"error":'):
|
||
try:
|
||
err = json.loads(text).get("error", "Unknown error")
|
||
except json.JSONDecodeError:
|
||
err = "Unknown error"
|
||
return GenerationResult(narrative="", error=err)
|
||
|
||
# Extract JSON block — find the last ```json ... ``` block
|
||
json_pattern = r"```json\s*\n?(.*?)\n?```"
|
||
matches = re.findall(json_pattern, text, re.DOTALL)
|
||
|
||
narrative = text
|
||
data = {}
|
||
|
||
if matches:
|
||
json_str = matches[-1].strip()
|
||
# Remove the json block from the narrative
|
||
narrative = text[: text.rfind("```json")]
|
||
narrative = narrative.strip()
|
||
try:
|
||
data = json.loads(json_str)
|
||
except json.JSONDecodeError:
|
||
# Try to salvage partial JSON
|
||
pass
|
||
|
||
return GenerationResult(
|
||
narrative=narrative or text,
|
||
choices=data.get("choices", []),
|
||
log_entry=data.get("log_entry"),
|
||
ambience=data.get("ambience"),
|
||
character_updates=data.get("character_updates"),
|
||
world_updates=data.get("world_updates"),
|
||
journal_add=data.get("journal_add", []),
|
||
journal_done=data.get("journal_done", []),
|
||
)
|
||
|
||
# ── State Persistence ───────────────────────────────────────────────
|
||
|
||
def apply_state(self, result: GenerationResult) -> None:
|
||
"""Write state changes from a GenerationResult to disk."""
|
||
|
||
if result.character_updates:
|
||
CHAR_PATH.write_text(result.character_updates.strip() + "\n")
|
||
|
||
if result.world_updates:
|
||
WORLD_PATH.write_text(result.world_updates.strip() + "\n")
|
||
|
||
if result.log_entry:
|
||
self.append_log(result.log_entry)
|
||
|
||
if result.ambience:
|
||
AMBIENCE_PATH.write_text(result.ambience.strip().lower() + "\n")
|
||
|
||
if result.journal_add or result.journal_done:
|
||
self._update_journal(
|
||
add=result.journal_add, done=result.journal_done
|
||
)
|
||
|
||
def archive_turn(self, narrative: str) -> None:
|
||
"""Append the narrative as a new turn in book.md."""
|
||
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M")
|
||
heading = f"\n\n## Turn — {timestamp}\n\n"
|
||
BOOK_PATH.parent.mkdir(parents=True, exist_ok=True)
|
||
with open(BOOK_PATH, "a") as f:
|
||
f.write(heading + narrative.strip() + "\n")
|
||
|
||
def append_log(self, entry: str) -> None:
|
||
"""Append a log entry to today's log file."""
|
||
LOG_DIR.mkdir(parents=True, exist_ok=True)
|
||
log_path = LOG_DIR / f"{TODAY}.md"
|
||
if not log_path.exists():
|
||
log_path.write_text(f"# Session Log — {TODAY}\n\n")
|
||
with open(log_path, "a") as f:
|
||
f.write(entry.strip() + "\n")
|
||
|
||
def _update_journal(
|
||
self, add: list[str] | None = None, done: list[str] | None = None
|
||
) -> None:
|
||
"""Add or complete TODO items in journal.md."""
|
||
if not JOURNAL_PATH.exists():
|
||
JOURNAL_PATH.write_text("# Journal\n\n## TODO\n\n## DONE\n\n")
|
||
lines = JOURNAL_PATH.read_text().splitlines()
|
||
new_lines = []
|
||
in_todo = False
|
||
in_done = False
|
||
for line in lines:
|
||
stripped = line.strip()
|
||
if stripped.startswith("## TODO"):
|
||
in_todo = True
|
||
in_done = False
|
||
elif stripped.startswith("## DONE"):
|
||
in_todo = False
|
||
in_done = True
|
||
new_lines.append(line)
|
||
|
||
# Find insertion points
|
||
todo_idx = None
|
||
done_idx = None
|
||
for i, line in enumerate(lines):
|
||
stripped = line.strip()
|
||
if stripped == "## TODO":
|
||
todo_idx = i
|
||
elif stripped == "## DONE":
|
||
done_idx = i
|
||
|
||
if done:
|
||
for item in done:
|
||
# Remove from TODO if present
|
||
new_lines = [
|
||
l for l in new_lines
|
||
if l.strip().lstrip("- ").lstrip("☐ ") != item
|
||
]
|
||
# Find DONE section and add
|
||
if done_idx is not None:
|
||
done_entry = f"- {item}"
|
||
if done_idx + 1 < len(new_lines):
|
||
new_lines.insert(done_idx + 1, done_entry)
|
||
else:
|
||
new_lines.append(done_entry)
|
||
|
||
if add:
|
||
for item in add:
|
||
entry = f"- {item}"
|
||
if entry not in new_lines:
|
||
if todo_idx is not None:
|
||
new_lines.insert(todo_idx + 1, entry)
|
||
else:
|
||
new_lines.append(entry)
|
||
|
||
JOURNAL_PATH.write_text("\n".join(new_lines) + "\n")
|
||
|
||
|
||
# ── CLI entry point (for testing) ─────────────────────────────────────────
|
||
def main():
|
||
"""Generate a turn from the command line (debug/testing)."""
|
||
import argparse
|
||
|
||
parser = argparse.ArgumentParser(description="The Chaos Game Engine (CLI)")
|
||
parser.add_argument("--action", "-a", help="Player action text")
|
||
parser.add_argument("--last", "-l", help="Last narrative text")
|
||
args = parser.parse_args()
|
||
|
||
engine = GameEngine()
|
||
result = engine.generate(
|
||
player_action=args.action,
|
||
last_narrative=args.last,
|
||
)
|
||
|
||
if result.error:
|
||
print(f"ERROR: {result.error}", file=sys.stderr)
|
||
sys.exit(1)
|
||
|
||
print(result.narrative)
|
||
if result.choices:
|
||
print("\n--- Choices ---")
|
||
for c in result.choices:
|
||
print(f" [{c}]")
|
||
if result.log_entry:
|
||
print(f"\n[Log] {result.log_entry}")
|
||
if result.ambience:
|
||
print(f"[Ambience] {result.ambience}")
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|