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refactor: thread release config through lead path (#2612)

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Co-authored-by: greatmengqi <chenmengqi.0376@bytedance.com>
This commit is contained in:
greatmengqi
2026-04-28 14:53:18 +08:00
committed by GitHub
parent 69649d8aae
commit e82940c03d
20 changed files with 325 additions and 179 deletions
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backend/packages/harness/deerflow/skills/security_scanner.py
+4 -3
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@@ -8,6 +8,7 @@ import re
from dataclasses import dataclass
from deerflow.config import get_app_config
from deerflow.config.app_config import AppConfig
from deerflow.models import create_chat_model
logger = logging.getLogger(__name__)
@@ -35,7 +36,7 @@ def _extract_json_object(raw: str) -> dict | None:
return None
async def scan_skill_content(content: str, *, executable: bool = False, location: str = "SKILL.md") -> ScanResult:
async def scan_skill_content(content: str, *, executable: bool = False, location: str = "SKILL.md", app_config: AppConfig | None = None) -> ScanResult:
"""Screen skill content before it is written to disk."""
rubric = (
"You are a security reviewer for AI agent skills. "
@@ -47,9 +48,9 @@ async def scan_skill_content(content: str, *, executable: bool = False, location
prompt = f"Location: {location}\nExecutable: {str(executable).lower()}\n\nReview this content:\n-----\n{content}\n-----"
try:
config = get_app_config()
config = app_config or get_app_config()
model_name = config.skill_evolution.moderation_model_name
model = create_chat_model(name=model_name, thinking_enabled=False) if model_name else create_chat_model(thinking_enabled=False)
model = create_chat_model(name=model_name, thinking_enabled=False, app_config=config) if model_name else create_chat_model(thinking_enabled=False, app_config=config)
response = await model.ainvoke(
[
{"role": "system", "content": rubric},