refactor(config): pydantic-settings revamp + drop `is_whitebox` plumbing

Replaces 200+ lines of bespoke env-loader / persist / change-detection
machinery with ``pydantic_settings.BaseSettings`` (already a transitive
of ``openai-agents → mcp``, no new direct dep).

What was wrong with ``Config``:

- 14 knobs flat in one namespace, weak grouping by comment-block.
- ``Config._applied_from_default`` and ``Config._config_file_override``
  were externally mutated from ``interface/main.py:532-534``. Private
  members were part of the public contract.
- Stringly-typed values: every caller had to coerce
  (``int(Config.get("llm_timeout") or "300")``,
  ``... not in {"0", "false", "no", "off"}``).
- Dead knob: ``strix_llm_max_retries`` declared, persisted, listed in
  ``_LLM_CANONICAL_NAMES`` — zero readers (``DEFAULT_RETRY``
  hardcodes ``max_retries=5``). Dropped.
- ``_LLM_CANONICAL_NAMES`` tuple maintained alongside class vars —
  duplicate source of truth.
- ``_tracked_names()`` introspected ``vars(cls).items()`` filtered on
  ``(v is None or isinstance(v, str))`` — fragile.
- Awkward path: ``strix/config/config.py`` inside ``strix/config/``
  with ``__init__.py`` just re-exporting.
- Dual access for the same fact: ``web_search`` read
  ``os.getenv("PERPLEXITY_API_KEY")`` while ``main.py`` read
  ``Config.get("perplexity_api_key")``.

New shape:

- ``strix/config/settings.py`` — typed dataclass tree:
  ``Settings.{llm,runtime,telemetry,integrations}``. Each sub-model is
  its own ``BaseSettings`` so it reads env independently. Field-level
  ``alias=`` and ``validation_alias=AliasChoices(...)`` mirror the
  existing flat env-var names — user-facing env contract is unchanged.
  Bool fields auto-parse ``"0"``/``"false"``/``"no"``/``"off"``;
  int fields auto-coerce.
- ``strix/config/loader.py`` — thin ``load_settings()``,
  ``apply_config_override(path)``, ``persist_current()`` with module
  cache. JSON file reader walks aliases to populate sub-models, dropping
  entries already covered by env (so env still wins).
- 13 callsites migrated from ``Config.get("...")`` to
  ``load_settings().<group>.<field>``.
- ``posthog._is_enabled()`` collapses to one line.
- ``--config <path>`` flow simplified: one
  ``apply_config_override(...)`` call replaces three lines of
  class-private mutation.

Drive-by — drop ``is_whitebox`` from ``scan_config`` dict:

- It was being derived as ``bool(args.local_sources)`` in three places
  (``cli.py``, ``tui.py``, ``main.py``) and stuffed into the dict for
  ``entry.py`` to read back. The fact is fully derivable from
  ``scan_config["targets"]`` — any target with ``type == "local_code"``.
- New helper ``is_whitebox_scan(targets)`` in ``interface/utils.py``
  alongside the other target-classification utilities.
- ``entry.py`` computes once; ``main.py``'s posthog start uses the same
  helper. Triplicate derivation gone.

Verified: ruff at baseline (3), mypy at baseline (69). Six smoke tests
pass — defaults / JSON-only / env-wins-over-JSON / alias-chain
fallback / bool parsing / ``is_whitebox_scan``.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
0xallam
2026-04-25 16:05:40 -07:00
parent 346cc477a7
commit 1e641e56ce
15 changed files with 317 additions and 308 deletions
+2
View File
@@ -35,6 +35,7 @@ classifiers = [
dependencies = [
"openai-agents[litellm]==0.14.6",
"pydantic>=2.11.3",
"pydantic-settings>=2.13.0",
"rich",
"docker>=7.1.0",
"textual>=6.0.0",
@@ -98,6 +99,7 @@ module = [
"cvss.*",
"docker.*",
"caido_sdk_client.*",
"pydantic_settings.*",
]
ignore_missing_imports = true
disable_error_code = ["import-untyped"]
+32 -7
View File
@@ -1,12 +1,37 @@
from strix.config.config import (
Config,
apply_saved_config,
save_current_config,
"""Strix application settings.
Public surface:
- :class:`Settings` — composite model. Get via :func:`load_settings`.
- :class:`LlmSettings`, :class:`RuntimeSettings`, :class:`TelemetrySettings`,
:class:`IntegrationSettings` — sub-models, attribute-accessed off
``Settings``.
- :func:`load_settings` — memoized resolve (env > JSON file > defaults).
- :func:`apply_config_override` — switch the JSON source to a custom path.
- :func:`persist_current` — write currently-set env vars to the active file.
"""
from strix.config.loader import (
apply_config_override,
load_settings,
persist_current,
)
from strix.config.settings import (
IntegrationSettings,
LlmSettings,
RuntimeSettings,
Settings,
TelemetrySettings,
)
__all__ = [
"Config",
"apply_saved_config",
"save_current_config",
"IntegrationSettings",
"LlmSettings",
"RuntimeSettings",
"Settings",
"TelemetrySettings",
"apply_config_override",
"load_settings",
"persist_current",
]
-207
View File
@@ -1,207 +0,0 @@
import contextlib
import json
import os
from pathlib import Path
from typing import Any, ClassVar
class Config:
"""Configuration Manager for Strix."""
# LLM Configuration
strix_llm = None
llm_api_key = None
llm_api_base = None
openai_api_base = None
litellm_base_url = None
ollama_api_base = None
strix_reasoning_effort = "high"
strix_llm_max_retries = "5"
llm_timeout = "300"
_LLM_CANONICAL_NAMES = (
"strix_llm",
"llm_api_key",
"llm_api_base",
"openai_api_base",
"litellm_base_url",
"ollama_api_base",
"strix_reasoning_effort",
"strix_llm_max_retries",
"llm_timeout",
)
# Tool & Feature Configuration
perplexity_api_key = None
# Runtime Configuration
strix_image = "ghcr.io/usestrix/strix-sandbox:0.1.13"
strix_runtime_backend = "docker"
# Telemetry
strix_telemetry = "1"
strix_posthog_telemetry = None
# Config file override (set via --config CLI arg)
_config_file_override: Path | None = None
# Tracks env vars set by the initial default-config load so they can be
# cleared when a --config override is later applied (avoids leakage).
_applied_from_default: ClassVar[dict[str, str]] = {}
@classmethod
def _tracked_names(cls) -> list[str]:
return [
k
for k, v in vars(cls).items()
if not k.startswith("_") and k[0].islower() and (v is None or isinstance(v, str))
]
@classmethod
def tracked_vars(cls) -> list[str]:
return [name.upper() for name in cls._tracked_names()]
@classmethod
def _llm_env_vars(cls) -> set[str]:
return {name.upper() for name in cls._LLM_CANONICAL_NAMES}
@classmethod
def _llm_env_changed(cls, saved_env: dict[str, Any]) -> bool:
for var_name in cls._llm_env_vars():
current = os.getenv(var_name)
if current is None:
continue
if saved_env.get(var_name) != current:
return True
return False
@classmethod
def get(cls, name: str) -> str | None:
env_name = name.upper()
default = getattr(cls, name, None)
return os.getenv(env_name, default)
@classmethod
def config_dir(cls) -> Path:
return Path.home() / ".strix"
@classmethod
def config_file(cls) -> Path:
if cls._config_file_override is not None:
return cls._config_file_override
return cls.config_dir() / "cli-config.json"
@classmethod
def load(cls) -> dict[str, Any]:
path = cls.config_file()
if not path.exists():
return {}
try:
with path.open("r", encoding="utf-8") as f:
data: dict[str, Any] = json.load(f)
return data
except (json.JSONDecodeError, OSError):
return {}
@classmethod
def save(cls, config: dict[str, Any]) -> bool:
try:
cls.config_dir().mkdir(parents=True, exist_ok=True)
config_path = cls.config_dir() / "cli-config.json"
with config_path.open("w", encoding="utf-8") as f:
json.dump(config, f, indent=2)
except OSError:
return False
with contextlib.suppress(OSError):
config_path.chmod(0o600) # may fail on Windows
return True
@classmethod
def apply_saved(cls, force: bool = False) -> dict[str, str]:
saved = cls.load()
env_vars = saved.get("env", {})
if not isinstance(env_vars, dict):
env_vars = {}
cleared_vars = {
var_name
for var_name in cls.tracked_vars()
if var_name in os.environ and os.environ.get(var_name) == ""
}
if cleared_vars:
for var_name in cleared_vars:
env_vars.pop(var_name, None)
if cls._config_file_override is None:
cls.save({"env": env_vars})
if cls._llm_env_changed(env_vars):
for var_name in cls._llm_env_vars():
env_vars.pop(var_name, None)
if cls._config_file_override is None:
cls.save({"env": env_vars})
applied = {}
for var_name, var_value in env_vars.items():
if var_name in cls.tracked_vars() and (force or var_name not in os.environ):
os.environ[var_name] = var_value
applied[var_name] = var_value
# Record what was applied from the default config so it can be cleared
# if a --config override is later provided (prevents leakage).
if cls._config_file_override is None and not force:
cls._applied_from_default = applied
return applied
@classmethod
def capture_current(cls) -> dict[str, Any]:
env_vars = {}
for var_name in cls.tracked_vars():
value = os.getenv(var_name)
if value:
env_vars[var_name] = value
return {"env": env_vars}
@classmethod
def save_current(cls) -> bool:
existing = cls.load().get("env", {})
merged = dict(existing)
for var_name in cls.tracked_vars():
value = os.getenv(var_name)
if value is None:
pass
elif value == "":
merged.pop(var_name, None)
else:
merged[var_name] = value
return cls.save({"env": merged})
def apply_saved_config(force: bool = False) -> dict[str, str]:
return Config.apply_saved(force=force)
def save_current_config() -> bool:
return Config.save_current()
def resolve_llm_config() -> tuple[str | None, str | None, str | None]:
"""Resolve LLM model, api_key, and api_base.
Returns ``(model_name, api_key, api_base)``. ``api_base`` falls back
through the ``LLM_API_BASE`` / ``OPENAI_API_BASE`` /
``LITELLM_BASE_URL`` / ``OLLAMA_API_BASE`` env chain so the user can
point at any OpenAI-compatible endpoint without changing the code.
"""
model = Config.get("strix_llm")
if not model:
return None, None, None
api_key = Config.get("llm_api_key")
api_base: str | None = (
Config.get("llm_api_base")
or Config.get("openai_api_base")
or Config.get("litellm_base_url")
or Config.get("ollama_api_base")
)
return model, api_key, api_base
+123
View File
@@ -0,0 +1,123 @@
"""Settings loader, override switch, and disk persistence.
Process-wide module cache so repeated ``load_settings()`` calls in the
same scan are free. ``apply_config_override(path)`` invalidates the
cache so the next ``load_settings()`` re-resolves with the new file.
"""
from __future__ import annotations
import contextlib
import json
import os
from pathlib import Path
from typing import TYPE_CHECKING, Any
from pydantic import AliasChoices, BaseModel
from strix.config.settings import Settings
if TYPE_CHECKING:
from pydantic.fields import FieldInfo
_DEFAULT_PATH: Path = Path.home() / ".strix" / "cli-config.json"
_override: Path | None = None
_cached: Settings | None = None
def load_settings() -> Settings:
"""Resolve settings from env + JSON file + defaults. Memoized.
Precedence: env vars win, then the JSON file, then field defaults.
"""
global _cached # noqa: PLW0603
if _cached is None:
init_kwargs: dict[str, Any] = _read_json_overrides(_override or _DEFAULT_PATH)
_cached = Settings(**init_kwargs)
return _cached
def apply_config_override(path: Path) -> None:
"""Switch the JSON source to ``path`` and invalidate the cache."""
global _override, _cached # noqa: PLW0603
_override = path
_cached = None
def persist_current() -> None:
"""Write currently-set env vars to the active config file (0o600)."""
s = load_settings()
target = _override or _DEFAULT_PATH
target.parent.mkdir(parents=True, exist_ok=True)
env_block: dict[str, str] = {}
for sub_name in s.model_fields:
sub_model = getattr(s, sub_name)
if not isinstance(sub_model, BaseModel):
continue
for finfo in type(sub_model).model_fields.values():
for alias in _aliases_for(finfo):
value = os.environ.get(alias.upper())
if value:
env_block[alias.upper()] = value
break
target.write_text(json.dumps({"env": env_block}, indent=2), encoding="utf-8")
with contextlib.suppress(OSError):
target.chmod(0o600)
# --- internals ---------------------------------------------------------
def _aliases_for(finfo: FieldInfo) -> list[str]:
"""Collect every env-var name that should populate ``finfo``."""
aliases: list[str] = []
if finfo.alias:
aliases.append(finfo.alias)
va = finfo.validation_alias
if isinstance(va, AliasChoices):
aliases.extend(c for c in va.choices if isinstance(c, str))
elif isinstance(va, str):
aliases.append(va)
return aliases
def _read_json_overrides(path: Path) -> dict[str, dict[str, Any]]:
"""Read ``{"env": {...}}`` from ``path`` and remap to nested kwargs.
Only includes keys whose env var is NOT already set, so env always
wins over the persisted file.
"""
if not path.exists():
return {}
try:
data = json.loads(path.read_text(encoding="utf-8"))
except (json.JSONDecodeError, OSError):
return {}
env_block = data.get("env", {}) if isinstance(data, dict) else {}
if not isinstance(env_block, dict):
return {}
# Normalize to upper-case keys for matching.
env_block_upper = {str(k).upper(): v for k, v in env_block.items()}
nested: dict[str, dict[str, Any]] = {}
for sub_name, sub_finfo in Settings.model_fields.items():
sub_cls = sub_finfo.annotation
if not (isinstance(sub_cls, type) and issubclass(sub_cls, BaseModel)):
continue
sub_data: dict[str, Any] = {}
for fname, finfo in sub_cls.model_fields.items():
for alias in _aliases_for(finfo):
key = alias.upper()
if key in os.environ:
break # env wins; skip JSON for this field
if key in env_block_upper:
sub_data[fname] = env_block_upper[key]
break
if sub_data:
nested[sub_name] = sub_data
return nested
+100
View File
@@ -0,0 +1,100 @@
"""Strix application settings — pydantic-settings powered.
Three sources, env-precedence-first:
1. Environment variables (``STRIX_LLM``, ``LLM_API_KEY``, etc.) — highest.
2. ``~/.strix/cli-config.json`` (or ``--config <path>``) — middle.
3. Field defaults — lowest.
Bool fields auto-parse ``"0"``/``"false"``/``"no"``/``"off"`` as falsy
and any other non-empty string as truthy. Int fields auto-coerce from
string env. The ``api_base`` field walks an alias chain so users can
point at any OpenAI-compatible endpoint via whichever env name they
prefer (``LLM_API_BASE`` / ``OPENAI_API_BASE`` / ``LITELLM_BASE_URL`` /
``OLLAMA_API_BASE``).
Each sub-model is a :class:`BaseSettings` so it reads env independently
— the alternative (one mega-BaseSettings with flat fields) would lose
the logical grouping ``s.llm.model`` / ``s.runtime.image`` / etc.
"""
from __future__ import annotations
from typing import Literal
from pydantic import AliasChoices, Field
from pydantic_settings import BaseSettings, SettingsConfigDict
ReasoningEffort = Literal["low", "medium", "high"]
_BASE_CONFIG = SettingsConfigDict(
case_sensitive=False,
populate_by_name=True,
extra="ignore",
)
class LlmSettings(BaseSettings):
"""LLM provider + model + per-call defaults."""
model_config = _BASE_CONFIG
model: str | None = Field(default=None, alias="STRIX_LLM")
api_key: str | None = Field(default=None, alias="LLM_API_KEY")
api_base: str | None = Field(
default=None,
validation_alias=AliasChoices(
"LLM_API_BASE",
"OPENAI_API_BASE",
"LITELLM_BASE_URL",
"OLLAMA_API_BASE",
),
)
reasoning_effort: ReasoningEffort = Field(default="high", alias="STRIX_REASONING_EFFORT")
timeout: int = Field(default=300, alias="LLM_TIMEOUT")
class RuntimeSettings(BaseSettings):
"""Sandbox image + backend selector."""
model_config = _BASE_CONFIG
image: str = Field(
default="ghcr.io/usestrix/strix-sandbox:0.1.13",
alias="STRIX_IMAGE",
)
backend: str = Field(default="docker", alias="STRIX_RUNTIME_BACKEND")
class TelemetrySettings(BaseSettings):
"""Telemetry toggles. ``posthog`` is None → inherit ``master``."""
model_config = _BASE_CONFIG
master: bool = Field(default=True, alias="STRIX_TELEMETRY")
posthog: bool | None = Field(default=None, alias="STRIX_POSTHOG_TELEMETRY")
@property
def posthog_enabled(self) -> bool:
"""Effective PostHog toggle: explicit value if set, else ``master``."""
return self.master if self.posthog is None else self.posthog
class IntegrationSettings(BaseSettings):
"""Third-party integration credentials."""
model_config = _BASE_CONFIG
perplexity_api_key: str | None = Field(default=None, alias="PERPLEXITY_API_KEY")
class Settings(BaseSettings):
"""Composite Strix settings. Instantiate via :func:`strix.config.load_settings`."""
model_config = _BASE_CONFIG
llm: LlmSettings = Field(default_factory=LlmSettings)
runtime: RuntimeSettings = Field(default_factory=RuntimeSettings)
telemetry: TelemetrySettings = Field(default_factory=TelemetrySettings)
integrations: IntegrationSettings = Field(default_factory=IntegrationSettings)
+6 -4
View File
@@ -24,7 +24,7 @@ from agents import Runner
from agents.memory import SQLiteSession
from strix.agents.factory import build_strix_agent, make_child_factory
from strix.config.config import Config
from strix.config import load_settings
from strix.orchestration.bus import AgentMessageBus
from strix.orchestration.hooks import StrixOrchestrationHooks
from strix.run_config_factory import (
@@ -206,8 +206,11 @@ async def run_strix_scan(
)
try:
# Lazy: ``strix.interface`` pulls cli→tui→entry which would cycle.
from strix.interface.utils import is_whitebox_scan
scan_mode = str(scan_config.get("scan_mode") or "deep")
is_whitebox = bool(scan_config.get("is_whitebox", False))
is_whitebox = is_whitebox_scan(scan_config.get("targets") or [])
skills = list(scan_config.get("skills") or [])
diff_scope = scan_config.get("diff_scope") or None
run_id = scan_config.get("run_id") or scan_id
@@ -249,9 +252,8 @@ async def run_strix_scan(
agent_factory=agent_factory,
)
reasoning = Config.get("strix_reasoning_effort")
reasoning_effort: Literal["low", "medium", "high"] | None = (
reasoning if reasoning in ("low", "medium", "high") else None # type: ignore[assignment]
load_settings().llm.reasoning_effort
)
run_config = make_run_config(
sandbox_session=bundle["session"],
+3 -5
View File
@@ -13,7 +13,7 @@ from rich.live import Live
from rich.panel import Panel
from rich.text import Text
from strix.config import Config
from strix.config import load_settings
from strix.entry import run_strix_scan
from strix.runtime import session_manager
from strix.telemetry.tracer import Tracer, set_global_tracer
@@ -25,12 +25,12 @@ from .utils import (
def _resolve_sandbox_image() -> str:
image = Config.get("strix_image")
image = load_settings().runtime.image
if not image:
raise RuntimeError(
"strix_image is not configured. Set it in ~/.strix/cli-config.json.",
)
return str(image)
return image
def _resolve_sources_path(args: Any) -> Path:
@@ -99,7 +99,6 @@ async def run_cli(args: Any) -> None: # noqa: PLR0915
console.print()
scan_mode = getattr(args, "scan_mode", "deep")
is_whitebox = bool(getattr(args, "local_sources", []))
scan_config: dict[str, Any] = {
"scan_id": args.run_name,
@@ -108,7 +107,6 @@ async def run_cli(args: Any) -> None: # noqa: PLR0915
"run_name": args.run_name,
"diff_scope": getattr(args, "diff_scope", {"active": False}),
"scan_mode": scan_mode,
"is_whitebox": is_whitebox,
}
tracer = Tracer(args.run_name)
+30 -65
View File
@@ -6,7 +6,6 @@ Strix Agent Interface
import argparse
import asyncio
import logging
import os
import shutil
import sys
from pathlib import Path
@@ -18,15 +17,10 @@ from rich.console import Console
from rich.panel import Panel
from rich.text import Text
from strix.config import Config, apply_saved_config, save_current_config
from strix.config.config import resolve_llm_config
apply_saved_config()
from strix.interface.cli import run_cli # noqa: E402
from strix.interface.tui import run_tui # noqa: E402
from strix.interface.utils import ( # noqa: E402
from strix.config import apply_config_override, load_settings, persist_current
from strix.interface.cli import run_cli
from strix.interface.tui import run_tui
from strix.interface.utils import (
assign_workspace_subdirs,
build_final_stats_text,
check_docker_connection,
@@ -35,17 +29,18 @@ from strix.interface.utils import ( # noqa: E402
generate_run_name,
image_exists,
infer_target_type,
is_whitebox_scan,
process_pull_line,
resolve_diff_scope_context,
rewrite_localhost_targets,
validate_config_file,
validate_llm_response,
)
from strix.telemetry import posthog
from strix.telemetry.tracer import get_global_tracer
HOST_GATEWAY_HOSTNAME = "host.docker.internal"
from strix.telemetry import posthog # noqa: E402
from strix.telemetry.tracer import get_global_tracer # noqa: E402
logging.getLogger().setLevel(logging.ERROR)
@@ -56,31 +51,20 @@ def validate_environment() -> None:
missing_required_vars = []
missing_optional_vars = []
strix_llm = Config.get("strix_llm")
if not strix_llm:
settings = load_settings()
if not settings.llm.model:
missing_required_vars.append("STRIX_LLM")
has_base_url = any(
[
Config.get("llm_api_base"),
Config.get("openai_api_base"),
Config.get("litellm_base_url"),
Config.get("ollama_api_base"),
]
)
if not Config.get("llm_api_key"):
if not settings.llm.api_key:
missing_optional_vars.append("LLM_API_KEY")
if not has_base_url:
if not settings.llm.api_base:
missing_optional_vars.append("LLM_API_BASE")
if not Config.get("perplexity_api_key"):
if not settings.integrations.perplexity_api_key:
missing_optional_vars.append("PERPLEXITY_API_KEY")
if not Config.get("strix_reasoning_effort"):
missing_optional_vars.append("STRIX_REASONING_EFFORT")
if missing_required_vars:
error_text = Text()
error_text.append("MISSING REQUIRED ENVIRONMENT VARIABLES", style="bold red")
@@ -207,25 +191,22 @@ async def warm_up_llm() -> None:
console = Console()
try:
model_name, api_key, api_base = resolve_llm_config()
litellm_model: str | None = model_name
llm = load_settings().llm
test_messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Reply with just 'OK'."},
]
llm_timeout = int(Config.get("llm_timeout") or "300")
completion_kwargs: dict[str, Any] = {
"model": litellm_model,
"model": llm.model,
"messages": test_messages,
"timeout": llm_timeout,
"timeout": llm.timeout,
}
if api_key:
completion_kwargs["api_key"] = api_key
if api_base:
completion_kwargs["api_base"] = api_base
if llm.api_key:
completion_kwargs["api_key"] = llm.api_key
if llm.api_base:
completion_kwargs["api_base"] = llm.api_base
response = litellm.completion(**completion_kwargs)
@@ -486,11 +467,13 @@ def pull_docker_image() -> None:
console = Console()
client = check_docker_connection()
if image_exists(client, Config.get("strix_image")): # type: ignore[arg-type]
image = load_settings().runtime.image
if image_exists(client, image):
return
console.print()
console.print(f"[dim]Pulling image[/] {Config.get('strix_image')}")
console.print(f"[dim]Pulling image[/] {image}")
console.print("[dim yellow]This only happens on first run and may take a few minutes...[/]")
console.print()
@@ -499,7 +482,7 @@ def pull_docker_image() -> None:
layers_info: dict[str, str] = {}
last_update = ""
for line in client.api.pull(Config.get("strix_image"), stream=True, decode=True):
for line in client.api.pull(image, stream=True, decode=True):
last_update = process_pull_line(line, layers_info, status, last_update)
except DockerException as e:
@@ -507,7 +490,7 @@ def pull_docker_image() -> None:
error_text = Text()
error_text.append("FAILED TO PULL IMAGE", style="bold red")
error_text.append("\n\n", style="white")
error_text.append(f"Could not download: {Config.get('strix_image')}\n", style="white")
error_text.append(f"Could not download: {image}\n", style="white")
error_text.append(str(e), style="dim red")
panel = Panel(
@@ -526,22 +509,6 @@ def pull_docker_image() -> None:
console.print()
def apply_config_override(config_path: str) -> None:
# Clear env vars that were automatically applied from the default config file
# so they don't leak into the custom config context.
for var_name in Config._applied_from_default:
os.environ.pop(var_name, None)
Config._applied_from_default = {}
Config._config_file_override = validate_config_file(config_path)
apply_saved_config(force=True)
def persist_config() -> None:
if Config._config_file_override is None:
save_current_config()
def main() -> None:
if sys.platform == "win32":
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
@@ -549,7 +516,7 @@ def main() -> None:
args = parse_arguments()
if args.config:
apply_config_override(args.config)
apply_config_override(validate_config_file(args.config))
check_docker_installed()
pull_docker_image()
@@ -557,7 +524,7 @@ def main() -> None:
validate_environment()
asyncio.run(warm_up_llm())
persist_config()
persist_current()
args.run_name = generate_run_name(args.targets_info)
@@ -602,12 +569,10 @@ def main() -> None:
else:
args.instruction = diff_scope.instruction_block
is_whitebox = bool(args.local_sources)
posthog.start(
model=Config.get("strix_llm"),
model=load_settings().llm.model,
scan_mode=args.scan_mode,
is_whitebox=is_whitebox,
is_whitebox=is_whitebox_scan(args.targets_info),
interactive=not args.non_interactive,
has_instructions=bool(args.instruction),
)
+2 -3
View File
@@ -31,7 +31,7 @@ from textual.screen import ModalScreen
from textual.widgets import Button, Label, Static, TextArea, Tree
from textual.widgets.tree import TreeNode
from strix.config import Config
from strix.config import load_settings
from strix.entry import run_strix_scan
from strix.interface.tool_components.agent_message_renderer import AgentMessageRenderer
from strix.interface.tool_components.registry import get_tool_renderer
@@ -763,7 +763,6 @@ class StrixTUIApp(App): # type: ignore[misc]
"run_name": args.run_name,
"diff_scope": getattr(args, "diff_scope", {"active": False}),
"scan_mode": getattr(args, "scan_mode", "deep"),
"is_whitebox": bool(getattr(args, "local_sources", [])),
}
def _setup_cleanup_handlers(self) -> None:
@@ -1408,7 +1407,7 @@ class StrixTUIApp(App): # type: ignore[misc]
try:
if not self._scan_stop_event.is_set():
image = Config.get("strix_image") or "strix-sandbox:latest"
image = load_settings().runtime.image or "strix-sandbox:latest"
sources_path = self._resolve_sources_path()
loop.run_until_complete(
run_strix_scan(
+8 -3
View File
@@ -20,7 +20,7 @@ from rich.console import Console
from rich.panel import Panel
from rich.text import Text
from strix.config import Config
from strix.config import load_settings
# Token formatting utilities
@@ -304,7 +304,7 @@ def build_live_stats_text(tracer: Any) -> Text:
if not tracer:
return stats_text
model = Config.get("strix_llm") or "unknown"
model = load_settings().llm.model or "unknown"
stats_text.append("Model ", style="dim")
stats_text.append(str(model), style="white")
stats_text.append("\n")
@@ -375,7 +375,7 @@ def build_tui_stats_text(tracer: Any) -> Text:
if not tracer:
return stats_text
model = Config.get("strix_llm") or "unknown"
model = load_settings().llm.model or "unknown"
stats_text.append(str(model), style="white")
llm_stats = tracer.get_total_llm_stats()
@@ -1190,6 +1190,11 @@ def assign_workspace_subdirs(targets_info: list[dict[str, Any]]) -> None:
details["workspace_subdir"] = workspace_subdir
def is_whitebox_scan(targets_info: list[dict[str, Any]]) -> bool:
"""True iff any target is a local source tree (whitebox / source-aware)."""
return any(t.get("type") == "local_code" for t in targets_info or [])
def collect_local_sources(targets_info: list[dict[str, Any]]) -> list[dict[str, str]]:
local_sources: list[dict[str, str]] = []
+2 -2
View File
@@ -16,7 +16,7 @@ from agents.model_settings import ModelSettings
from agents.models.interface import ModelTracing
from openai.types.responses import ResponseOutputMessage
from strix.config.config import Config
from strix.config import load_settings
from strix.llm.multi_provider_setup import build_multi_provider
from strix.run_config_factory import DEFAULT_RETRY
@@ -174,7 +174,7 @@ async def check_duplicate(
}
try:
model_name = Config.get("strix_llm")
model_name = load_settings().llm.model
if not model_name:
return {
"is_duplicate": False,
+2 -2
View File
@@ -21,7 +21,7 @@ from typing import TYPE_CHECKING, Any
from agents.sandbox.entries import LocalDir
from agents.sandbox.manifest import Environment, Manifest
from strix.config.config import Config
from strix.config import load_settings
from strix.runtime.backends import get_backend
from strix.runtime.caido_bootstrap import bootstrap_caido
@@ -86,7 +86,7 @@ async def create_or_reuse(
),
)
backend_name = Config.get("strix_runtime_backend") or "docker"
backend_name = load_settings().runtime.backend
backend = get_backend(backend_name)
logger.info(
+2 -8
View File
@@ -6,7 +6,7 @@ from pathlib import Path
from typing import TYPE_CHECKING, Any
from uuid import uuid4
from strix.config import Config
from strix.config import load_settings
if TYPE_CHECKING:
@@ -15,18 +15,12 @@ if TYPE_CHECKING:
_POSTHOG_PUBLIC_API_KEY = "phc_7rO3XRuNT5sgSKAl6HDIrWdSGh1COzxw0vxVIAR6vVZ"
_POSTHOG_HOST = "https://us.i.posthog.com"
_DISABLED_VALUES = {"0", "false", "no", "off"}
_SESSION_ID = uuid4().hex[:16]
def _is_enabled() -> bool:
"""Master telemetry gate. ``STRIX_POSTHOG_TELEMETRY`` overrides ``STRIX_TELEMETRY``."""
explicit = Config.get("strix_posthog_telemetry")
if explicit is not None:
return explicit.strip().lower() not in _DISABLED_VALUES
fallback = Config.get("strix_telemetry") or "1"
return fallback.strip().lower() not in _DISABLED_VALUES
return load_settings().telemetry.posthog_enabled
def _is_first_run() -> bool:
+3 -2
View File
@@ -4,12 +4,13 @@ from __future__ import annotations
import asyncio
import json
import os
from typing import Any
import requests
from agents import RunContextWrapper, function_tool
from strix.config import load_settings
_SYSTEM_PROMPT = """You are assisting a cybersecurity agent specialized in vulnerability scanning
and security assessment running on Kali Linux. When responding to search queries:
@@ -37,7 +38,7 @@ security implications and details."""
def _do_search(query: str) -> dict[str, Any]:
api_key = os.getenv("PERPLEXITY_API_KEY")
api_key = load_settings().integrations.perplexity_api_key
if not api_key:
return {
"success": False,
Generated
+2
View File
@@ -2043,6 +2043,7 @@ dependencies = [
{ name = "docker" },
{ name = "openai-agents", extra = ["litellm"] },
{ name = "pydantic" },
{ name = "pydantic-settings" },
{ name = "requests" },
{ name = "rich" },
{ name = "textual" },
@@ -2065,6 +2066,7 @@ requires-dist = [
{ name = "docker", specifier = ">=7.1.0" },
{ name = "openai-agents", extras = ["litellm"], specifier = "==0.14.6" },
{ name = "pydantic", specifier = ">=2.11.3" },
{ name = "pydantic-settings", specifier = ">=2.13.0" },
{ name = "requests", specifier = ">=2.32.0" },
{ name = "rich" },
{ name = "textual", specifier = ">=6.0.0" },