from __future__ import annotations

from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    """Design Agent 설정."""

    anthropic_api_key: str = ""
    kei_api_url: str = "http://localhost:8000"
    log_level: str = "DEBUG"

    # 슬라이드 크기
    slide_width: int = 1280
    slide_height: int = 720

    # IMP-33 u1 — AI fallback policy. Fallback-path only; normal path AI=0.
    # Defaults locked by Stage 2 plan; do NOT inline literals downstream.
    ai_fallback_enabled: bool = False
    ai_fallback_model: str = "claude-opus-4-7"
    ai_fallback_timeout_s: float = 60.0
    ai_fallback_max_retries: int = 3
    ai_fallback_backoff_base_s: float = 1.0
    ai_fallback_backoff_cap_s: float = 8.0
    ai_fallback_backoff_jitter: float = 0.3
    ai_fallback_budget_per_run: int = 10
    ai_fallback_circuit_breaker_threshold: int = 5

    # IMP-46 u5 — auto-cache flag. When True, `save_proposal` bypasses the
    # `user_approved` gate only (`visual_check_passed` is never bypassed).
    # Default OFF preserves the dual-gate contract; the CLI flag
    # `--auto-cache` in `src/phase_z2_pipeline.py` mutates this setting at
    # parse time. Downstream callers MUST source the flag from Settings,
    # never inline literals.
    ai_fallback_auto_cache: bool = False

    model_config = {"env_file": ".env", "env_file_encoding": "utf-8"}


settings = Settings()