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116524e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 | """Model configuration — secrets-free config for ACE roles.
``ModelConfig`` describes which model to use and how. No API keys —
those come from the environment (via ``.env`` or exported variables).
``ACEModelConfig`` maps ACE roles (agent, reflector, skill_manager)
to individual ``ModelConfig`` instances, enabling per-role model selection.
Config is persisted in ``ace.toml`` (committable, no secrets).
Keys are persisted in ``.env`` (gitignored).
"""
from __future__ import annotations
import logging
import tomllib
from dataclasses import dataclass, fields
from pathlib import Path
from typing import Any
logger = logging.getLogger(__name__)
CONFIG_FILENAME = "ace.toml"
ENV_FILENAME = ".env"
# ---------------------------------------------------------------------------
# ModelConfig
# ---------------------------------------------------------------------------
@dataclass
class ModelConfig:
"""Configuration for a single LLM role. No secrets."""
model: str
temperature: float = 0.0
max_tokens: int = 2048
extra_params: dict[str, Any] | None = None
def to_dict(self) -> dict[str, Any]:
"""Serialise to a dict, omitting None/default values."""
d: dict[str, Any] = {"model": self.model}
if self.temperature != 0.0:
d["temperature"] = self.temperature
if self.max_tokens != 2048:
d["max_tokens"] = self.max_tokens
if self.extra_params:
d["extra_params"] = self.extra_params
return d
@classmethod
def from_dict(cls, d: dict[str, Any]) -> ModelConfig:
known = {f.name for f in fields(cls)}
return cls(**{k: v for k, v in d.items() if k in known})
# ---------------------------------------------------------------------------
# ACEModelConfig
# ---------------------------------------------------------------------------
@dataclass
class ACEModelConfig:
"""Model selection per ACE role. No secrets — keys come from env."""
default: ModelConfig
agent: ModelConfig | None = None
reflector: ModelConfig | None = None
skill_manager: ModelConfig | None = None
def for_role(self, role: str) -> ModelConfig:
"""Return the ModelConfig for *role*, falling back to default."""
explicit = getattr(self, role, None)
if explicit is not None:
return explicit
return self.default
# -- Serialisation --------------------------------------------------------
def to_dict(self) -> dict[str, Any]:
d: dict[str, Any] = {"default": self.default.to_dict()}
for role in ("agent", "reflector", "skill_manager"):
cfg = getattr(self, role)
if cfg is not None:
d[role] = cfg.to_dict()
return d
@classmethod
def from_dict(cls, d: dict[str, Any]) -> ACEModelConfig:
default = ModelConfig.from_dict(d["default"])
agent = ModelConfig.from_dict(d["agent"]) if "agent" in d else None
reflector = ModelConfig.from_dict(d["reflector"]) if "reflector" in d else None
skill_manager = (
ModelConfig.from_dict(d["skill_manager"]) if "skill_manager" in d else None
)
return cls(
default=default,
agent=agent,
reflector=reflector,
skill_manager=skill_manager,
)
# ---------------------------------------------------------------------------
# TOML persistence
# ---------------------------------------------------------------------------
def _to_toml(config: ACEModelConfig) -> str:
"""Serialise ACEModelConfig to TOML string."""
lines: list[str] = []
for section_name in ("default", "agent", "reflector", "skill_manager"):
cfg = getattr(config, section_name)
if cfg is None:
continue
lines.append(f"[{section_name}]")
d = cfg.to_dict()
for key, value in d.items():
if key == "extra_params":
# Inline table for extra_params
inner = ", ".join(f"{k} = {_toml_value(v)}" for k, v in value.items())
lines.append(f"extra_params = {{ {inner} }}")
else:
lines.append(f"{key} = {_toml_value(value)}")
lines.append("")
return "\n".join(lines)
def _toml_value(v: Any) -> str:
"""Format a Python value as a TOML literal."""
if isinstance(v, str):
return f'"{v}"'
if isinstance(v, bool):
return "true" if v else "false"
if isinstance(v, float):
return str(v)
if isinstance(v, int):
return str(v)
return repr(v)
def save_config(config: ACEModelConfig, directory: str | Path = ".") -> Path:
"""Write ace.toml to *directory*."""
path = Path(directory) / CONFIG_FILENAME
path.write_text(_to_toml(config), encoding="utf-8")
logger.info("Saved config to %s", path)
return path
def load_config(directory: str | Path = ".") -> ACEModelConfig:
"""Load ace.toml from *directory*.
Raises:
FileNotFoundError: If ace.toml does not exist.
"""
path = Path(directory) / CONFIG_FILENAME
if not path.exists():
raise FileNotFoundError(
f"No {CONFIG_FILENAME} found in {Path(directory).resolve()}. "
"Run `ace setup` to create one."
)
data = tomllib.loads(path.read_text(encoding="utf-8"))
return ACEModelConfig.from_dict(data)
def find_config(start: str | Path = ".") -> Path | None:
"""Walk up from *start* looking for ace.toml. Return path or None."""
current = Path(start).resolve()
for parent in [current, *current.parents]:
candidate = parent / CONFIG_FILENAME
if candidate.exists():
return candidate
return None
# ---------------------------------------------------------------------------
# .env helpers
# ---------------------------------------------------------------------------
def load_dotenv() -> bool:
"""Load .env if python-dotenv is installed. Return True if loaded."""
try:
from dotenv import load_dotenv as _load
return _load()
except ImportError:
return False
def save_env_var(key: str, value: str, directory: str | Path = ".") -> None:
"""Append or update a key in .env file."""
path = Path(directory) / ENV_FILENAME
lines: list[str] = []
found = False
if path.exists():
for line in path.read_text(encoding="utf-8").splitlines():
if line.startswith(f"{key}="):
lines.append(f'{key}="{value}"')
found = True
else:
lines.append(line)
if not found:
lines.append(f'{key}="{value}"')
path.write_text("\n".join(lines) + "\n", encoding="utf-8")
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