prebuilt.company_researcher.config

Classes

KYCAgentConfiguration	Advanced configuration for KYC Agent with granular control.
KYCComplianceEngines	Configuration for different KYC compliance engines.

Module Contents

class prebuilt.company_researcher.config.KYCAgentConfiguration

Bases: haive.core.engine.agent.agent.AgentConfig

Advanced configuration for KYC Agent with granular control.

classmethod create_config(name: str | None = None, **kwargs) → KYCAgentConfiguration

Factory method to create a KYC agent configuration.

Parameters:

• name – Optional name for the agent

• **kwargs – Additional configuration parameters

Returns:

Configured KYC agent configuration

derive_schema() → type[pydantic.BaseModel]

Create a custom state schema specifically for KYC workflow.

Returns:

Pydantic model representing the KYC agent state

classmethod validate_edd_triggers(v)

Validate Enhanced Due Diligence triggers.

Ensures trigger values are within reasonable ranges

compliance_checks: dict[str, bool] = None

compliance_engines: KYCComplianceEngines = None

edd_triggers: dict[str, float] = None

max_screening_iterations: int = None

risk_score_thresholds: dict[str, float] = None

class prebuilt.company_researcher.config.KYCComplianceEngines(/, **data: Any)

Bases: pydantic.BaseModel

Configuration for different KYC compliance engines.

enhanced_due_diligence: haive.core.engine.aug_llm.AugLLMConfig = None

final_risk_assessment: haive.core.engine.aug_llm.AugLLMConfig = None

initial_screening: haive.core.engine.aug_llm.AugLLMConfig = None