67 lines
2.4 KiB
Python
67 lines
2.4 KiB
Python
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from __future__ import annotations
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import os
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Iterable, Optional
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from dotenv import load_dotenv
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DEFAULT_ENV_FILENAMES = (".env",)
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@dataclass(slots=True)
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class CoreAgentConfig:
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model: str
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api_key: Optional[str]
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base_url: Optional[str]
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timeout: float = 120.0
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def load_core_agent_env(env_dir: str | Path | None = None) -> Optional[Path]:
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"""Load a local .env file for the standalone core_agent package."""
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root = Path(env_dir).resolve() if env_dir is not None else Path(__file__).resolve().parent
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for filename in DEFAULT_ENV_FILENAMES:
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env_path = root / filename
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if env_path.is_file():
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load_dotenv(env_path, override=False)
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return env_path
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return None
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def build_core_agent_config(env: Optional[dict[str, str]] = None) -> CoreAgentConfig:
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values = env if env is not None else os.environ
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model = _first_nonempty(values, ("CORE_AGENT_MODEL", "MODEL_NAME", "OPENAI_MODEL", "MODEL"), "gpt-4.1-mini")
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api_key = _first_nonempty(values, ("OPENAI_API_KEY", "API_KEY"))
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base_url = _first_nonempty(values, ("OPENAI_BASE_URL", "BASE_URL"))
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timeout_raw = _first_nonempty(values, ("CORE_AGENT_TIMEOUT", "OPENAI_TIMEOUT", "REQUEST_TIMEOUT"), "120")
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try:
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timeout = float(timeout_raw) if timeout_raw is not None else 120.0
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except (TypeError, ValueError):
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timeout = 120.0
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return CoreAgentConfig(model=model, api_key=api_key, base_url=base_url, timeout=timeout)
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def apply_compat_env_aliases(env: Optional[dict[str, str]] = None) -> None:
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"""Mirror Myagent-style env names into OpenAI-compatible names when absent."""
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values = env if env is not None else os.environ
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_set_if_missing(values, "OPENAI_API_KEY", _first_nonempty(values, ("API_KEY",)))
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_set_if_missing(values, "OPENAI_BASE_URL", _first_nonempty(values, ("BASE_URL",)))
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_set_if_missing(values, "CORE_AGENT_MODEL", _first_nonempty(values, ("MODEL_NAME", "MODEL")))
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def _first_nonempty(values: dict[str, str], keys: Iterable[str], default: Optional[str] = None) -> Optional[str]:
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for key in keys:
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value = values.get(key)
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if value is not None and str(value).strip():
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return str(value).strip()
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return default
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def _set_if_missing(values: dict[str, str], key: str, value: Optional[str]) -> None:
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if value is None:
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return
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if not values.get(key):
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values[key] = value
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