File size: 3,041 Bytes
7ff7119 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 | """DDState — the DD assistant multi-agent supervisor graph state.
Topology: contract_filter → per_contract_summary → supervisor (LLM router) →
specialist agents (audit/legal/compliance/financial) → dd_synthesizer.
Specialist outputs (Pydantic structs) accumulate in the state; the supervisor
decides the next specialist or routes to the synthesizer based on them.
"""
from __future__ import annotations
from operator import add
from typing import Annotated, TypedDict
from pydantic import BaseModel, Field
from graph.states.pipeline_state import (
DDPortfolioReport,
ProcessedDocument,
)
class DDContractSummary(BaseModel):
"""Per-contract Python-computed summary (input to the specialist agents)."""
file_name: str
contract_type: str = "unknown"
parties: list[str] = Field(default_factory=list)
effective_date: str | None = None
expiry_date: str | None = None
total_value: float | None = None
currency: str = "USD"
monthly_fee: float | None = None
monthly_fee_currency: str = "USD"
risk_level: str = "low" # low | medium | high
risk_elements: list[str] = Field(default_factory=list)
red_flags: list[str] = Field(default_factory=list)
class AuditFindings(BaseModel):
"""Audit specialist output."""
pricing_anomalies: list[str] = Field(default_factory=list)
overcharging: list[str] = Field(default_factory=list)
note: str = ""
class LegalFindings(BaseModel):
"""Legal specialist output."""
red_flags: list[str] = Field(default_factory=list)
change_of_control: list[str] = Field(default_factory=list)
non_compete: list[str] = Field(default_factory=list)
note: str = ""
class ComplianceFindings(BaseModel):
"""Compliance specialist output."""
gdpr_issues: list[str] = Field(default_factory=list)
aml_alerts: list[str] = Field(default_factory=list)
note: str = ""
class FinancialFindings(BaseModel):
"""Financial specialist output."""
monthly_obligations: dict[str, float] = Field(default_factory=dict)
expiring_soon: list[str] = Field(default_factory=list)
high_value_contracts: list[str] = Field(default_factory=list)
note: str = ""
class DDState(TypedDict, total=False):
"""The dd_graph state."""
documents: list[ProcessedDocument]
"""Input: the full pipeline_graph documents list. contract_filter narrows it."""
contracts: list[DDContractSummary]
"""Output of per_contract_summary (Python-deterministic)."""
# Specialist outputs
audit_findings: AuditFindings | None
legal_findings: LegalFindings | None
compliance_findings: ComplianceFindings | None
financial_findings: FinancialFindings | None
# Supervisor state
call_history: Annotated[list[str], add]
"""Specialists already invoked (string list, append-only)."""
next_specialist: str | None
"""Supervisor decision: 'audit' | 'legal' | 'compliance' | 'financial' | 'DONE'."""
iteration_count: int
# Final result
dd_report: DDPortfolioReport | None
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