Multi-Objective Intent Planning (MOIP) — Public Reference Guide

Overview

Multi-Objective Intent Planning (MOIP) is the intent planning module within the RCT Platform Public SDK. It provides Pareto-optimal intent trade-off resolution across competing requirements such as latency, cost, quality, and constitutional safety constraints.

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Core Planning Concepts

MOIP treats multi-constraint execution as a multi-objective optimization problem without collapsing metrics into an arbitrary single score.

                  ┌───────────────────────────────┐
                  │    Incoming Intent & Budget   │
                  └───────────────┬───────────────┘
                                  │
                                  ▼
 ┌─────────────────────────────────────────────────────────────────┐
 │               MOIP Pareto Tradeoff Evaluator                    │
 │  • Cost Constraint          • Latency Bound (<50ms)             │
 │  • Safety Rules (FDIA)     • Accuracy Target                    │
 └─────────────────────────────────────────────────────────────────┘
                                  │
                                  ▼
                  ┌───────────────────────────────┐
                  │   Optimized Execution Plan    │
                  └───────────────────────────────┘

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Public SDK Integration Example

from rct_control_plane.moip import MOIPPlanner, IntentConstraint

planner = MOIPPlanner()
plan = planner.solve(
    intent="Analyze financial report with zero hallucination risk",
    constraints=[
        IntentConstraint.max_latency_ms(150),
        IntentConstraint.min_fdia_score(0.85),
    ]
)

print(f"Selected Execution Path: {plan.route_id}")

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Enterprise Capabilities

The underlying proprietary optimization heuristics and multi-agent resource allocation algorithms are executed within the Private Enterprise Engine.