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https://github.com/bytedance/deer-flow.git
synced 2026-05-24 00:45:57 +00:00
refactor(config): eliminate global mutable state, wire DeerFlowContext into runtime
- Freeze all config models (AppConfig + 15 sub-configs) with frozen=True - Purify from_file() — remove 9 load_*_from_dict() side-effect calls - Replace mtime/reload/push/pop machinery with single ContextVar + init_app_config() - Delete 10 sub-module globals and their getters/setters/loaders - Migrate 50+ consumers from get_*_config() to get_app_config().xxx - Expand DeerFlowContext: app_config + thread_id + agent_name (frozen dataclass) - Wire into Gateway runtime (worker.py) and DeerFlowClient via context= parameter - Remove sandbox_id from runtime.context — flows through ThreadState.sandbox only - Middleware/tools access runtime.context directly via Runtime[DeerFlowContext] generic - resolve_context() retained at server entry points for LangGraph Server fallback
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@@ -1,7 +1,7 @@
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from fastapi import APIRouter, HTTPException
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from pydantic import BaseModel, Field
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from deerflow.config import get_app_config
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from deerflow.config.app_config import AppConfig
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router = APIRouter(prefix="/api", tags=["models"])
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@@ -58,7 +58,7 @@ async def list_models() -> ModelsListResponse:
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}
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```
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"""
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config = get_app_config()
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config = AppConfig.current()
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models = [
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ModelResponse(
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name=model.name,
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@@ -101,7 +101,7 @@ async def get_model(model_name: str) -> ModelResponse:
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}
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```
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"""
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config = get_app_config()
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config = AppConfig.current()
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model = config.get_model_config(model_name)
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if model is None:
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raise HTTPException(status_code=404, detail=f"Model '{model_name}' not found")
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