Thorsten
f37dc9fa76
FastAPI + Postgres backend with fastapi-users auth, games/characters CRUD, and a WebSocket chat endpoint where an x.ai Grok DM narrates play, rolls dice, and maintains character sheets via tool calls. React + Tailwind frontend covers registration/login, game list and creation, participation-code join flow, character viewer, and a real-time chat session view. Docker Compose skeleton (Postgres + backend) included; Caddy/frontend container wiring is deferred to the deploy milestone. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
19 lines
432 B
Python
19 lines
432 B
Python
from functools import lru_cache
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from pathlib import Path
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from openai import AsyncOpenAI
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from app.config import settings
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PROMPTS_DIR = Path(__file__).parent / "prompts"
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@lru_cache
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def get_dm_system_prompt() -> str:
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return (PROMPTS_DIR / "dm_system_prompt.txt").read_text(encoding="utf-8")
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@lru_cache
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def get_llm_client() -> AsyncOpenAI:
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return AsyncOpenAI(api_key=settings.xai_api_key, base_url=settings.xai_base_url)
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