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4 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 36718bbce0 | |||
| 2facb82bd4 | |||
| 8d5a6e202b | |||
| f32c895561 |
@@ -1,6 +1,7 @@
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from __future__ import annotations
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from dataclasses import dataclass
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from os import getenv
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from pathlib import Path
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import tomllib
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@@ -68,15 +69,54 @@ class BenchmarkConfig:
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return cls(**raw)
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@dataclass
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class OpenAIConfig:
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"""OpenAI API configuration."""
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api_key: str
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openai_project_id: str
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openai_chat_completions_url: str
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model: str
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timeout_seconds: int
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@classmethod
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def from_toml(cls, config_path: Path) -> OpenAIConfig:
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"""Load OpenAI config from a TOML file."""
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raw = tomllib.loads(config_path.read_text()).get("openai", {})
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api_key = getenv("CLOSEDAI_TOKEN")
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if not api_key:
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message = "CLOSEDAI_TOKEN is required"
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raise KeyError(message)
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return cls(
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api_key=api_key,
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openai_project_id=raw.get(
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"openai_project_id", "proj_fQBPEXFgnS87Fk6wZwploFwE"
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),
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openai_chat_completions_url=raw.get(
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"openai_chat_completions_url",
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"https://api.openai.com/v1/chat/completions",
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),
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model=raw.get("model", "gpt-5.4-mini"),
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timeout_seconds=raw.get("timeout_seconds", 60),
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)
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def get_config_dir() -> Path:
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"""Get the path to the config file."""
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return Path(__file__).resolve().parent.parent.parent / "config"
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"""Get the path to the config directory."""
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return Path(__file__).resolve().parents[2] / "config"
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def default_config_path() -> Path:
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"""Get the path to the config file."""
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return get_config_dir() / "config.toml"
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def get_openai_config(config_path: Path | None = None) -> OpenAIConfig:
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if config_path is None:
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config_path = default_config_path()
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return OpenAIConfig.from_toml(config_path)
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def get_finetune_config(config_path: Path | None = None) -> FinetuneConfig:
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if config_path is None:
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config_path = default_config_path()
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