BenchmarkConfig (benchmarks/config.py)

Pydantic model defining immutable benchmark configuration with environment variable expansion.

# Source: https://github.com/EverMind-AI/EverOS | License: Apache-2.0 | Copyright You must retain, in the Source form of any Derivative Works
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"""Benchmark configuration.

Frozen Pydantic model providing all tunable parameters for the LoCoMo
benchmark pipeline.  Defaults are aligned with the upstream evaluation
reference so that numbers are directly comparable.
"""

from __future__ import annotations

import hashlib
import os
import re
import tomllib
from collections.abc import Sequence
from pathlib import Path
from typing import Any, Literal

from pydantic import BaseModel, ConfigDict, Field


def unresolved(value: str) -> bool:
    """Whether a string still contains an unexpanded ``${VAR}`` reference.

    Needed because leav

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