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"""
配置文件 - Kimi API 配置
"""
import os
from typing import Optional
from dotenv import load_dotenv
load_dotenv()
from dotenv import load_dotenv
# Read the nearest .env, searching upward from the working directory, so a
# single file at the repository root serves every chapter.
load_dotenv()
# Provider resolution lives in the shared agentbook package so every chapter
# stays consistent; see agentbook/providers.py. The fallback keeps this
# experiment runnable from a checkout where agentbook is not installed.
try:
from agentbook.providers import (
SUPPORTED_PROVIDERS,
map_model_to_openrouter,
resolve_backend,
resolve_llm_backend,
)
except ImportError: # pragma: no cover - exercised only without the package
import sys as _sys
_sys.path.insert(
0, str(__import__("pathlib").Path(__file__).resolve().parents[2])
)
from agentbook.providers import (
SUPPORTED_PROVIDERS,
map_model_to_openrouter,
resolve_backend,
resolve_llm_backend,
)
class Config:
"""配置类"""
# Kimi API 配置
MOONSHOT_API_KEY: str = os.getenv("MOONSHOT_API_KEY", "")
# 向后兼容:如果没有 MOONSHOT_API_KEY,尝试使用 KIMI_API_KEY
if not MOONSHOT_API_KEY:
MOONSHOT_API_KEY = os.getenv("KIMI_API_KEY", "")
KIMI_BASE_URL: str = "https://api.moonshot.cn/v1"
# 模型配置
DEFAULT_MODEL: str = "kimi-k3" # 使用最新的 Kimi K3 模型
# 搜索配置
MAX_SEARCH_ITERATIONS: int = 5 # 最大搜索迭代次数(与 agent 默认值保持一致)
SEARCH_TIMEOUT: float = float(os.getenv("SEARCH_TIMEOUT", "30"))
# 日志配置
LOG_LEVEL: str = "INFO"
LOG_FORMAT: str = "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
@classmethod
def validate(cls) -> bool:
"""
验证配置是否有效
Returns:
bool: 配置是否有效
"""
if not cls.MOONSHOT_API_KEY:
print("错误: 未设置 MOONSHOT_API_KEY 环境变量")
print("请设置环境变量: export MOONSHOT_API_KEY='your-api-key'")
print("(或者使用旧的环境变量名: export KIMI_API_KEY='your-api-key')")
return False
return True
@classmethod
def get_api_key(cls, api_key: Optional[str] = None) -> str:
"""
获取 API Key
Args:
api_key: 可选的 API key,如果提供则使用,否则从环境变量获取
Returns:
API key
"""
if api_key:
return api_key
return cls.MOONSHOT_API_KEY