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
29 lines
1.2 KiB
Python
29 lines
1.2 KiB
Python
"""Configuration for pre-tool-call authorization."""
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from pydantic import BaseModel, ConfigDict, Field
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class GuardrailProviderConfig(BaseModel):
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"""Configuration for a guardrail provider."""
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model_config = ConfigDict(frozen=True)
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use: str = Field(description="Class path (e.g. 'deerflow.guardrails.builtin:AllowlistProvider')")
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config: dict = Field(default_factory=dict, description="Provider-specific settings passed as kwargs")
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class GuardrailsConfig(BaseModel):
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"""Configuration for pre-tool-call authorization.
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When enabled, every tool call passes through the configured provider
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before execution. The provider receives tool name, arguments, and the
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agent's passport reference, and returns an allow/deny decision.
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"""
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model_config = ConfigDict(frozen=True)
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enabled: bool = Field(default=False, description="Enable guardrail middleware")
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fail_closed: bool = Field(default=True, description="Block tool calls if provider errors")
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passport: str | None = Field(default=None, description="OAP passport path or hosted agent ID")
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provider: GuardrailProviderConfig | None = Field(default=None, description="Guardrail provider configuration")
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