mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-18 07:19:35 +00:00
ebfab72fbd
- Added 7 new apex-level agents (Sovereign Intelligence, Alliance Structuring, Due Diligence, Valuation, Exec Negotiator, Strategic PMO, Post-Merger Integration) - Updated RAW Event Taxonomy in router to fully support HitL escalations, C-Suite reporting, and sovereign dashboards - Re-architected Executor to support all 37 agents (mappings, tokens up to 8000 for apex, action triggers) - Health check endpoints updated to validate the 37-agent ecosystem - All tests passing System is now fully aligned with the Dealix Autonomous Revenue & Strategic Growth OS execution plan.
704 lines
29 KiB
Python
704 lines
29 KiB
Python
"""
|
|
Agent Router v2.0 — Determines which AI agent handles which event.
|
|
The central nervous system of Dealix's AI engine.
|
|
|
|
Features:
|
|
- Priority-based agent ordering
|
|
- Parallel vs sequential execution modes
|
|
- Retry policies per agent
|
|
- Agent metadata (model preference, temperature, timeout)
|
|
"""
|
|
|
|
import logging
|
|
from typing import Optional
|
|
from dataclasses import dataclass, field
|
|
from enum import Enum
|
|
|
|
logger = logging.getLogger("dealix.agents")
|
|
|
|
|
|
class ExecutionMode(str, Enum):
|
|
SEQUENTIAL = "sequential" # Agents run one after another
|
|
PARALLEL = "parallel" # Agents run simultaneously
|
|
PIPELINE = "pipeline" # Output of one feeds into the next
|
|
|
|
|
|
@dataclass
|
|
class RetryPolicy:
|
|
max_retries: int = 2
|
|
backoff_seconds: float = 1.0
|
|
backoff_multiplier: float = 2.0 # Exponential backoff
|
|
|
|
|
|
@dataclass
|
|
class AgentConfig:
|
|
"""Configuration for a single agent in an event mapping."""
|
|
agent_id: str
|
|
priority: int = 1 # Lower = higher priority (1 runs first)
|
|
required: bool = True # If True, failure stops the chain
|
|
timeout_seconds: int = 30 # Max execution time
|
|
model_preference: str = "" # Override LLM model (e.g., "groq_fast")
|
|
retry_policy: RetryPolicy = field(default_factory=RetryPolicy)
|
|
|
|
|
|
@dataclass
|
|
class EventConfig:
|
|
"""Configuration for an event type."""
|
|
agents: list[AgentConfig]
|
|
execution_mode: ExecutionMode = ExecutionMode.SEQUENTIAL
|
|
description: str = ""
|
|
|
|
|
|
# ── Event → Agent Mapping (v2.0 with priority & config) ──────
|
|
|
|
AGENT_REGISTRY: dict[str, EventConfig] = {
|
|
# ── Lead Lifecycle ───────────────────────────────
|
|
"lead_created": EventConfig(
|
|
agents=[
|
|
AgentConfig("lead_qualification", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="New lead enters the system — qualify immediately",
|
|
),
|
|
"lead_score_updated": EventConfig(
|
|
agents=[
|
|
AgentConfig("lead_qualification", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Lead score changed — re-evaluate qualification",
|
|
),
|
|
"lead_qualified": EventConfig(
|
|
agents=[
|
|
AgentConfig("outreach_writer", priority=1, required=True),
|
|
AgentConfig("meeting_booking", priority=2, required=False),
|
|
AgentConfig("closer_agent", priority=3, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Lead qualified — start outreach sequence",
|
|
),
|
|
|
|
# ── Communication ────────────────────────────────
|
|
"whatsapp_inbound": EventConfig(
|
|
agents=[
|
|
AgentConfig("arabic_whatsapp", priority=1, required=True, timeout_seconds=15),
|
|
AgentConfig("closer_agent", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Incoming WhatsApp message — respond in Arabic",
|
|
),
|
|
"whatsapp_outbound": EventConfig(
|
|
agents=[
|
|
AgentConfig("outreach_writer", priority=1, required=True),
|
|
AgentConfig("compliance_reviewer", priority=2, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Outgoing WhatsApp — write + compliance check",
|
|
),
|
|
"email_inbound": EventConfig(
|
|
agents=[
|
|
AgentConfig("english_conversation", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Incoming email — handle in English",
|
|
),
|
|
"email_outbound": EventConfig(
|
|
agents=[
|
|
AgentConfig("outreach_writer", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Outgoing email — craft professional message",
|
|
),
|
|
"voice_call_completed": EventConfig(
|
|
agents=[
|
|
AgentConfig("voice_call", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Voice call ended — analyze and log",
|
|
),
|
|
|
|
# ── Meeting Lifecycle ────────────────────────────
|
|
"meeting_requested": EventConfig(
|
|
agents=[
|
|
AgentConfig("meeting_booking", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Meeting requested — find best slot",
|
|
),
|
|
"meeting_confirmed": EventConfig(
|
|
agents=[
|
|
AgentConfig("ai_rehearsal", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Meeting confirmed — prepare briefing",
|
|
),
|
|
"meeting_upcoming": EventConfig(
|
|
agents=[
|
|
AgentConfig("ai_rehearsal", priority=1, required=True),
|
|
AgentConfig("knowledge_retrieval", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.PARALLEL,
|
|
description="Meeting in 24h — final preparation",
|
|
),
|
|
|
|
# ── Deal Lifecycle ───────────────────────────────
|
|
"deal_created": EventConfig(
|
|
agents=[
|
|
AgentConfig("sector_strategist", priority=1, required=True),
|
|
AgentConfig("knowledge_retrieval", priority=1, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.PARALLEL,
|
|
description="New deal — sector analysis + knowledge lookup",
|
|
),
|
|
"deal_stage_changed": EventConfig(
|
|
agents=[
|
|
AgentConfig("proposal_drafter", priority=1, required=False),
|
|
AgentConfig("management_summary", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Deal progression — update proposal if needed",
|
|
),
|
|
"deal_proposal_requested": EventConfig(
|
|
agents=[
|
|
AgentConfig("proposal_drafter", priority=1, required=True, timeout_seconds=60),
|
|
AgentConfig("compliance_reviewer", priority=2, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Proposal requested — draft + compliance review",
|
|
),
|
|
|
|
# ── Quality & Compliance ─────────────────────────
|
|
"content_review": EventConfig(
|
|
agents=[
|
|
AgentConfig("qa_reviewer", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Content needs QA review",
|
|
),
|
|
"compliance_check": EventConfig(
|
|
agents=[
|
|
AgentConfig("compliance_reviewer", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Compliance verification required",
|
|
),
|
|
"objection_detected": EventConfig(
|
|
agents=[
|
|
AgentConfig("objection_handler", priority=1, required=True),
|
|
AgentConfig("closer_agent", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Client objection detected — handle + attempt close",
|
|
),
|
|
|
|
# ── Affiliate Lifecycle ──────────────────────────
|
|
"affiliate_applied": EventConfig(
|
|
agents=[
|
|
AgentConfig("affiliate_evaluator", priority=1, required=True),
|
|
AgentConfig("fraud_reviewer", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.PARALLEL,
|
|
description="New affiliate application — evaluate + fraud check simultaneously",
|
|
),
|
|
"affiliate_approved": EventConfig(
|
|
agents=[
|
|
AgentConfig("onboarding_coach", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Affiliate approved — start onboarding",
|
|
),
|
|
|
|
# ── Analytics ────────────────────────────────────
|
|
"revenue_attribution": EventConfig(
|
|
agents=[
|
|
AgentConfig("revenue_attribution", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Revenue needs attribution analysis",
|
|
),
|
|
"fraud_check": EventConfig(
|
|
agents=[
|
|
AgentConfig("fraud_reviewer", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Fraud check triggered",
|
|
),
|
|
"guarantee_claim": EventConfig(
|
|
agents=[
|
|
AgentConfig("guarantee_reviewer", priority=1, required=True),
|
|
AgentConfig("fraud_reviewer", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Guarantee claim — review then fraud check",
|
|
),
|
|
"management_report": EventConfig(
|
|
agents=[
|
|
AgentConfig("management_summary", priority=1, required=True, timeout_seconds=60),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Generate management report",
|
|
),
|
|
|
|
# ── Knowledge ────────────────────────────────────
|
|
"knowledge_query": EventConfig(
|
|
agents=[
|
|
AgentConfig("knowledge_retrieval", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Knowledge base query",
|
|
),
|
|
"sector_strategy": EventConfig(
|
|
agents=[
|
|
AgentConfig("sector_strategist", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Sector strategy analysis",
|
|
),
|
|
|
|
# ── Autonomous Pipeline Events ───────────────────
|
|
"pipeline_lead_new": EventConfig(
|
|
agents=[
|
|
AgentConfig("lead_qualification", priority=1, required=True),
|
|
AgentConfig("knowledge_retrieval", priority=1, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.PARALLEL,
|
|
description="Autonomous: new lead → qualify + gather knowledge",
|
|
),
|
|
"pipeline_lead_qualified": EventConfig(
|
|
agents=[
|
|
AgentConfig("outreach_writer", priority=1, required=True),
|
|
AgentConfig("sector_strategist", priority=1, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.PARALLEL,
|
|
description="Autonomous: qualified → outreach + strategy",
|
|
),
|
|
"pipeline_meeting_prep": EventConfig(
|
|
agents=[
|
|
AgentConfig("ai_rehearsal", priority=1, required=True),
|
|
AgentConfig("proposal_drafter", priority=1, required=False),
|
|
AgentConfig("knowledge_retrieval", priority=1, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.PARALLEL,
|
|
description="Autonomous: pre-meeting full preparation",
|
|
),
|
|
"pipeline_closing": EventConfig(
|
|
agents=[
|
|
AgentConfig("closer_agent", priority=1, required=True),
|
|
AgentConfig("compliance_reviewer", priority=2, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Autonomous: closing stage → close + compliance",
|
|
),
|
|
|
|
# ══════════════════════════════════════════════════
|
|
# ── Strategic Growth & Enterprise Agents ─────────
|
|
# ══════════════════════════════════════════════════
|
|
|
|
# ── Partnerships ─────────────────────────────────
|
|
"partnership_opportunity": EventConfig(
|
|
agents=[
|
|
AgentConfig("partnership_scout", priority=1, required=True, timeout_seconds=60),
|
|
AgentConfig("competitive_intel", priority=1, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.PARALLEL,
|
|
description="New partnership opportunity detected — scout + competitive analysis",
|
|
),
|
|
"partnership_proposal_requested": EventConfig(
|
|
agents=[
|
|
AgentConfig("partnership_scout", priority=1, required=True, timeout_seconds=60),
|
|
AgentConfig("contract_lifecycle", priority=2, required=True),
|
|
AgentConfig("compliance_reviewer", priority=3, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Partnership proposal needed — scout → contract → compliance",
|
|
),
|
|
|
|
# ── M&A & Strategic Growth ───────────────────────
|
|
"acquisition_target_identified": EventConfig(
|
|
agents=[
|
|
AgentConfig("ma_growth", priority=1, required=True, timeout_seconds=120),
|
|
AgentConfig("competitive_intel", priority=1, required=False),
|
|
AgentConfig("finance_automation", priority=2, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.PARALLEL,
|
|
description="M&A target found — valuation + competitive + financial analysis",
|
|
),
|
|
"growth_strategy_requested": EventConfig(
|
|
agents=[
|
|
AgentConfig("business_development", priority=1, required=True, timeout_seconds=90),
|
|
AgentConfig("ma_growth", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Strategic growth analysis — BizDev → M&A options",
|
|
),
|
|
|
|
# ── Contracts ────────────────────────────────────
|
|
"contract_creation_requested": EventConfig(
|
|
agents=[
|
|
AgentConfig("contract_lifecycle", priority=1, required=True, timeout_seconds=60),
|
|
AgentConfig("compliance_reviewer", priority=2, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Contract needed — draft + compliance review",
|
|
),
|
|
"contract_review_requested": EventConfig(
|
|
agents=[
|
|
AgentConfig("contract_lifecycle", priority=1, required=True),
|
|
AgentConfig("fraud_reviewer", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Incoming contract — review risks + fraud check",
|
|
),
|
|
"contract_expiring_soon": EventConfig(
|
|
agents=[
|
|
AgentConfig("contract_lifecycle", priority=1, required=True),
|
|
AgentConfig("customer_success", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Contract expiring — renewal + customer health check",
|
|
),
|
|
|
|
# ── Business Development ─────────────────────────
|
|
"market_expansion_requested": EventConfig(
|
|
agents=[
|
|
AgentConfig("business_development", priority=1, required=True, timeout_seconds=90),
|
|
AgentConfig("sector_strategist", priority=1, required=False),
|
|
AgentConfig("competitive_intel", priority=1, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.PARALLEL,
|
|
description="Market expansion — BizDev + sector + competitive intel",
|
|
),
|
|
"new_revenue_stream_analysis": EventConfig(
|
|
agents=[
|
|
AgentConfig("business_development", priority=1, required=True),
|
|
AgentConfig("dynamic_pricing", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="New revenue stream — BizDev analysis + pricing strategy",
|
|
),
|
|
|
|
# ── Supply Chain & Procurement ───────────────────
|
|
"procurement_rfq": EventConfig(
|
|
agents=[
|
|
AgentConfig("supply_chain", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="RFQ received — evaluate suppliers and pricing",
|
|
),
|
|
"supplier_evaluation": EventConfig(
|
|
agents=[
|
|
AgentConfig("supply_chain", priority=1, required=True),
|
|
AgentConfig("fraud_reviewer", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Evaluate supplier — quality + fraud check",
|
|
),
|
|
"inventory_alert": EventConfig(
|
|
agents=[
|
|
AgentConfig("supply_chain", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Inventory low — reorder analysis",
|
|
),
|
|
|
|
# ── Customer Success & Retention ─────────────────
|
|
"customer_health_check": EventConfig(
|
|
agents=[
|
|
AgentConfig("customer_success", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Customer health check — churn risk + upsell opportunities",
|
|
),
|
|
"customer_complaint": EventConfig(
|
|
agents=[
|
|
AgentConfig("customer_success", priority=1, required=True),
|
|
AgentConfig("compliance_reviewer", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Customer complaint — resolve + compliance check",
|
|
),
|
|
"upsell_opportunity_detected": EventConfig(
|
|
agents=[
|
|
AgentConfig("customer_success", priority=1, required=True),
|
|
AgentConfig("dynamic_pricing", priority=2, required=False),
|
|
AgentConfig("outreach_writer", priority=3, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Upsell opportunity — CS assessment + pricing + outreach",
|
|
),
|
|
"quarterly_business_review": EventConfig(
|
|
agents=[
|
|
AgentConfig("customer_success", priority=1, required=True, timeout_seconds=60),
|
|
AgentConfig("revenue_attribution", priority=1, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.PARALLEL,
|
|
description="QBR preparation — customer success + revenue analysis",
|
|
),
|
|
|
|
# ── Dynamic Pricing ──────────────────────────────
|
|
"pricing_review_requested": EventConfig(
|
|
agents=[
|
|
AgentConfig("dynamic_pricing", priority=1, required=True),
|
|
AgentConfig("competitive_intel", priority=1, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.PARALLEL,
|
|
description="Pricing review — dynamic pricing + competitive analysis",
|
|
),
|
|
"discount_approval_requested": EventConfig(
|
|
agents=[
|
|
AgentConfig("dynamic_pricing", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Discount requested — profitability check",
|
|
),
|
|
|
|
# ── Marketing Automation ─────────────────────────
|
|
"campaign_creation_requested": EventConfig(
|
|
agents=[
|
|
AgentConfig("marketing_automation", priority=1, required=True, timeout_seconds=60),
|
|
AgentConfig("compliance_reviewer", priority=2, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Marketing campaign — create + compliance review",
|
|
),
|
|
"lead_nurture_triggered": EventConfig(
|
|
agents=[
|
|
AgentConfig("marketing_automation", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Lead nurture — drip campaign automation",
|
|
),
|
|
"retargeting_triggered": EventConfig(
|
|
agents=[
|
|
AgentConfig("marketing_automation", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Retargeting — re-engage inactive leads",
|
|
),
|
|
|
|
# ── Finance Automation ───────────────────────────
|
|
"invoice_generation": EventConfig(
|
|
agents=[
|
|
AgentConfig("finance_automation", priority=1, required=True),
|
|
AgentConfig("compliance_reviewer", priority=2, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Invoice creation — ZATCA compliant + compliance",
|
|
),
|
|
"collection_overdue": EventConfig(
|
|
agents=[
|
|
AgentConfig("finance_automation", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Overdue payment — automated collection workflow",
|
|
),
|
|
"financial_report_requested": EventConfig(
|
|
agents=[
|
|
AgentConfig("finance_automation", priority=1, required=True, timeout_seconds=60),
|
|
AgentConfig("management_summary", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Financial report — finance + management summary",
|
|
),
|
|
"cashflow_forecast_requested": EventConfig(
|
|
agents=[
|
|
AgentConfig("finance_automation", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Cash flow forecast — predict inflows/outflows",
|
|
),
|
|
|
|
# ── Competitive Intelligence ─────────────────────
|
|
"competitor_alert": EventConfig(
|
|
agents=[
|
|
AgentConfig("competitive_intel", priority=1, required=True),
|
|
AgentConfig("dynamic_pricing", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Competitor movement — intel + pricing response",
|
|
),
|
|
"battlecard_requested": EventConfig(
|
|
agents=[
|
|
AgentConfig("competitive_intel", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Battle card needed for sales team",
|
|
),
|
|
"win_loss_analysis": EventConfig(
|
|
agents=[
|
|
AgentConfig("competitive_intel", priority=1, required=True),
|
|
AgentConfig("management_summary", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Win/loss analysis — competitive intel + management reporting",
|
|
),
|
|
|
|
# ══════════════════════════════════════════════════
|
|
# ── Advanced Strategic & M&A Core (The 7 New Agents)
|
|
# ══════════════════════════════════════════════════
|
|
|
|
# ── Alliance Structuring ────────────────────────
|
|
"partnership.model_recommended": EventConfig(
|
|
agents=[
|
|
AgentConfig("alliance_structuring", priority=1, required=True, timeout_seconds=90),
|
|
AgentConfig("finance_automation", priority=2, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Structure alliance mode (Rev-share/JV) and calculate financial impact",
|
|
),
|
|
"partnership.term_sheet_ready": EventConfig(
|
|
agents=[
|
|
AgentConfig("alliance_structuring", priority=1, required=True),
|
|
AgentConfig("contract_lifecycle", priority=2, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Generate Term Sheet from Alliance model",
|
|
),
|
|
|
|
# ── M&A Target Screening & DD ───────────────────
|
|
"ma.screening_completed": EventConfig(
|
|
agents=[
|
|
AgentConfig("due_diligence_analyst", priority=1, required=True, timeout_seconds=120),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Run initial comprehensive DD (Financial, Ops, Legal)",
|
|
),
|
|
"ma.valuation_ready": EventConfig(
|
|
agents=[
|
|
AgentConfig("valuation_synergy", priority=1, required=True, timeout_seconds=90),
|
|
AgentConfig("finance_automation", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Valuation execution + revenue/cost synergy analysis",
|
|
),
|
|
|
|
# ── Strategic Negotiation ────────────────────────
|
|
"ma.offer_strategy_ready": EventConfig(
|
|
agents=[
|
|
AgentConfig("executive_negotiator", priority=1, required=True, timeout_seconds=90),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Prepare executive negotiation playbook (BATNA, ZOPA, Scenarios)",
|
|
),
|
|
|
|
# ── Post-Merger Integration (PMI) ────────────────
|
|
"ma.integration_kickoff": EventConfig(
|
|
agents=[
|
|
AgentConfig("post_merger_integration", priority=1, required=True, timeout_seconds=120),
|
|
AgentConfig("strategic_pmo", priority=2, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Kickoff 30/60/90 days integration PMO & tracking",
|
|
),
|
|
|
|
# ── Execution PMO ──────────────────────────────
|
|
"growth.milestone_achieved": EventConfig(
|
|
agents=[
|
|
AgentConfig("strategic_pmo", priority=1, required=True),
|
|
AgentConfig("sovereign_intelligence", priority=2, required=False),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Track growth milestone and pass to sovereign intelligence",
|
|
),
|
|
"growth.execution_blocker_detected": EventConfig(
|
|
agents=[
|
|
AgentConfig("strategic_pmo", priority=1, required=True),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Handle strategic blocker, assign SLAs and owners",
|
|
),
|
|
|
|
# ── Sovereign Level ─────────────────────────────
|
|
"governance.executive_escalation": EventConfig(
|
|
agents=[
|
|
AgentConfig("sovereign_intelligence", priority=1, required=True, timeout_seconds=120),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="C-suite/Board level escalation and dashboarding",
|
|
),
|
|
"board_briefing_requested": EventConfig(
|
|
agents=[
|
|
AgentConfig("sovereign_intelligence", priority=1, required=True, timeout_seconds=120),
|
|
],
|
|
execution_mode=ExecutionMode.SEQUENTIAL,
|
|
description="Generate 360° Sovereign Board Briefing",
|
|
),
|
|
}
|
|
|
|
|
|
class AgentRouter:
|
|
"""Routes events to the appropriate AI agent(s) with priority and config."""
|
|
|
|
def get_event_config(self, event_type: str) -> Optional[EventConfig]:
|
|
"""Return the full event configuration."""
|
|
config = AGENT_REGISTRY.get(event_type)
|
|
if not config:
|
|
logger.warning(f"No agent registered for event: {event_type}")
|
|
return config
|
|
|
|
def get_agents_for_event(self, event_type: str) -> list[str]:
|
|
"""Return list of agent IDs sorted by priority."""
|
|
config = self.get_event_config(event_type)
|
|
if not config:
|
|
return []
|
|
sorted_agents = sorted(config.agents, key=lambda a: a.priority)
|
|
return [a.agent_id for a in sorted_agents]
|
|
|
|
def get_agents_config_for_event(self, event_type: str) -> list[AgentConfig]:
|
|
"""Return agent configs sorted by priority."""
|
|
config = self.get_event_config(event_type)
|
|
if not config:
|
|
return []
|
|
return sorted(config.agents, key=lambda a: a.priority)
|
|
|
|
def get_execution_mode(self, event_type: str) -> ExecutionMode:
|
|
"""Return execution mode for an event."""
|
|
config = self.get_event_config(event_type)
|
|
return config.execution_mode if config else ExecutionMode.SEQUENTIAL
|
|
|
|
def get_primary_agent(self, event_type: str) -> Optional[str]:
|
|
"""Return the primary (highest priority) agent for an event."""
|
|
agents = self.get_agents_for_event(event_type)
|
|
return agents[0] if agents else None
|
|
|
|
def list_all_agents(self) -> list[dict]:
|
|
"""List all registered agents with their event triggers."""
|
|
agent_events: dict[str, list[str]] = {}
|
|
for event, config in AGENT_REGISTRY.items():
|
|
for agent_cfg in config.agents:
|
|
if agent_cfg.agent_id not in agent_events:
|
|
agent_events[agent_cfg.agent_id] = []
|
|
agent_events[agent_cfg.agent_id].append(event)
|
|
|
|
return [
|
|
{"agent_id": agent_id, "events": events, "event_count": len(events)}
|
|
for agent_id, events in sorted(agent_events.items())
|
|
]
|
|
|
|
def list_all_events(self) -> list[dict]:
|
|
"""List all registered events with their agent configs."""
|
|
return [
|
|
{
|
|
"event_type": event_type,
|
|
"description": config.description,
|
|
"execution_mode": config.execution_mode.value,
|
|
"agents": [
|
|
{
|
|
"agent_id": a.agent_id,
|
|
"priority": a.priority,
|
|
"required": a.required,
|
|
"timeout_seconds": a.timeout_seconds,
|
|
}
|
|
for a in sorted(config.agents, key=lambda x: x.priority)
|
|
],
|
|
}
|
|
for event_type, config in sorted(AGENT_REGISTRY.items())
|
|
]
|
|
|
|
def get_agent_count(self) -> int:
|
|
"""Return total number of unique agents."""
|
|
agents = set()
|
|
for config in AGENT_REGISTRY.values():
|
|
for a in config.agents:
|
|
agents.add(a.agent_id)
|
|
return len(agents)
|