greatmengqi
edf345cd72
- 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
20 lines
577 B
Python
20 lines
577 B
Python
"""Configuration for deferred tool loading via tool_search."""
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from pydantic import BaseModel, ConfigDict, Field
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class ToolSearchConfig(BaseModel):
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"""Configuration for deferred tool loading via tool_search.
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When enabled, MCP tools are not loaded into the agent's context directly.
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Instead, they are listed by name in the system prompt and discoverable
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via the tool_search tool at runtime.
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"""
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model_config = ConfigDict(frozen=True)
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enabled: bool = Field(
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default=False,
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description="Defer tools and enable tool_search",
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)
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