Crate converge_optimization 

converge-optimization

Optimization solvers as first-class Suggestors for the Converge Engine.

Every solver is accessed through PackSuggestor – the ONLY public interface. Register it in a formation and let it converge alongside LLM agents, policy gates, and other Suggestors.

Usage

use converge_pack::{PackSuggestor, ContextKey};
use converge_optimization::packs::budget_allocation::BudgetAllocationPack;

let solver = PackSuggestor::new(
    BudgetAllocationPack,
    ContextKey::Seeds,
    ContextKey::Strategies,
);
engine.register_suggestor(solver);

Available Packs (21)

LeadRouting, MeetingScheduler, BudgetAllocation, CapacityPlanning, InventoryReplenishment, InventoryRebalancing, AnomalyTriage, PricingGuardrails, ShippingChoice, VendorShortlist, BacklogPrioritization, AssignmentPack, BinPacking, ConstraintProgramming, FacilityLocation, GraphPartitioning, JobShopScheduling, NetworkFlow, StaffRostering, TravelingSalesman, VehicleRouting

Feature Flags

• sat - Varisat SAT solver for constraint programming
• ffi - OR-Tools C++ FFI bindings
• full - All features

Modules

assignment

Linear Assignment Problem solvers

graph

Graph algorithms

knapsack

Knapsack problem solvers

packs

Domain Packs for Solver Gate

provider

Converge platform integration

scheduling

Scheduling algorithms and constraints

setcover

Set Cover problem solvers

suggestors

Structs

PackSolveResult

Result of pack solving

PackSuggestor

Wraps any Pack as a Converge Suggestor.

SolverParams

Common solver parameters

SolverStats

Statistics from a solver run

Enums

Error

Errors that can occur during optimization

SolverStatus

Solver status after optimization

Traits

Pack

A domain pack for the solver gate

SolveBudgetsExt

Extension trait for SolveBudgets that bridges to optimization-specific SolverParams.

Type Aliases

Cost

Cost type for optimization problems (signed to allow negative costs)

Index

Index type for nodes/variables

Result

Result type alias using our Error type

Value

Value type for objective functions

Weight

Weight type for capacity constraints