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https://github.com/bytedance/deer-flow.git
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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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@@ -7,7 +7,7 @@ import logging
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from langchain.tools import tool
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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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logger = logging.getLogger(__name__)
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@@ -63,7 +63,7 @@ def web_search_tool(
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query: Search keywords describing what you want to find. Be specific for better results.
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max_results: Maximum number of results to return. Default is 5.
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"""
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config = get_app_config().get_tool_config("web_search")
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config = AppConfig.current().get_tool_config("web_search")
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# Override max_results from config if set
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if config is not None and "max_results" in config.model_extra:
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