An MIT-licensed full-pipeline PCB autorouter library for node.js and TypeScript projects. Part of tscircuit
View Online Playground · tscircuit docs · discord · twitter · try tscircuit online · Report/Debug Autorouter Bugs
Want to understand how the autorouter works? Check out a stage-by-stage breakdown with videos in this autorouter walk through
- You should have created a bug report via the tscircuit errors tab
- Run
bun run bug-report <bug-report-url>
to download the report and create a debugging fixture file in theexamples/bug-reports
directory, you can then find the bug report in the server (viabun run start
) - Or run
bun run bug-report-with-test <bug-report-url>
to download the report, create the fixture, and scaffold a matching snapshot test undertests/bugs
bun add @tscircuit/capacity-autorouter
import { CapacityMeshSolver } from "@tscircuit/capacity-autorouter"
// Create a solver with SimpleRouteJson input
const solver = new CapacityMeshSolver(simpleRouteJson)
// Run the solver until completion
while (!solver.solved && !solver.failed) {
solver.step()
}
// Check if solving was successful
if (solver.failed) {
console.error("Routing failed:", solver.error)
} else {
// Get the routing results as SimpleRouteJson with traces
const resultWithRoutes = solver.getOutputSimpleRouteJson()
// Use the resulting routes in your application
console.log(
`Successfully routed ${resultWithRoutes.traces?.length} connections`
)
}
The input to the autorouter is a SimpleRouteJson
object with the following structure:
interface SimpleRouteJson {
layerCount: number
minTraceWidth: number
obstacles: Obstacle[]
connections: Array<SimpleRouteConnection>
bounds: { minX: number; maxX: number; minY: number; maxY: number }
traces?: SimplifiedPcbTraces // Optional for input
}
interface Obstacle {
type: "rect"
layers: string[]
center: { x: number; y: number }
width: number
height: number
connectedTo: string[] // TraceIds
}
interface SimpleRouteConnection {
name: string
pointsToConnect: Array<{ x: number; y: number; layer: string }>
}
The getOutputSimpleRouteJson()
method returns the original SimpleRouteJson
with a populated traces
property. The traces are represented as SimplifiedPcbTraces
:
type SimplifiedPcbTraces = Array<{
type: "pcb_trace"
pcb_trace_id: string // TraceId
route: Array<
| {
route_type: "wire"
x: number
y: number
width: number
layer: string
}
| {
route_type: "via"
x: number
y: number
to_layer: string
from_layer: string
}
>
}>
You can provide optional configuration parameters to the solver:
const solver = new CapacityMeshSolver(simpleRouteJson, {
// Optional: Manually set capacity planning depth (otherwise automatically calculated)
capacityDepth: 7,
// Optional: Set the target minimum capacity for automatic depth calculation
// Lower values result in finer subdivisions (higher depth)
targetMinCapacity: 0.5,
})
By default, the solver will automatically calculate the optimal capacityDepth
to achieve a target minimum capacity of 0.5 based on the board dimensions. This automatic calculation ensures that the smallest subdivision cells have an appropriate capacity for routing.
For debugging or interactive applications, you can use the visualize()
method to get a visualization of the current routing state:
// Get visualization data that can be rendered with graphics-debug
const visualization = solver.visualize()
To work on this library:
# Install dependencies
bun install
# Start the interactive development environment
bun run start
# Run tests
bun test
# Build the library
bun run build