Pantograph

Pantograph is a local-first, Rust-native framework with an optional desktop app. It provides unified local inference, node-based workflows, resource-aware runtime scheduling, real-time observability, and diagnostic tracing for AI pipelines. Host integrations consume the native Rust interface or projections through UniFFI, Rustler, and optional HTTP adapters.

Architecture

See ARCHITECTURE.md for the current module map, target scheduler-owned task execution model, ownership rules, active transition, and links to authoritative ADRs and implementation status.

The current standards audit records the repository-wide compliance baseline and routes its findings into focused follow-up audits. Its remediation portfolio coordinates the resulting implementation plans.

Quick Start

1. Clone the repository.
2. Install dependencies:

   npm install

3. Run the desktop app:

   npm run dev:desktop

Installation

Prerequisites

• Node.js (for npm)
• Rust toolchain (cargo, rustc)
• Tauri system libraries for your OS

Install Rust:

curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
source "$HOME/.cargo/env"

Install Tauri system dependencies:

# Debian/Ubuntu
sudo apt install pkg-config libsoup2.4-dev libjavascriptcoregtk-4.0-dev

# Fedora
sudo dnf install pkgconf-pkg-config libsoup-devel javascriptcoregtk4.0-devel

# Arch
sudo pacman -S pkgconf libsoup2 webkit2gtk

Install project dependencies:

npm install

Usage

Desktop Mode (recommended)

npm run dev:desktop

Web Preview

npm run dev

The Vite dev server binds to 127.0.0.1 by default. For an intentional LAN preview, set PANTOGRAPH_VITE_HOST=0.0.0.0 when starting the server.

Build Desktop App

npm run build:desktop

Launcher Script

./launcher.sh --help
./launcher.sh --test
./launcher.sh --release-smoke

Vision Backend Options

• External OpenAI-compatible server (for example LM Studio)
• Bundled llama.cpp sidecar with local model files

Development

Prerequisites

• Node.js + npm matching .node-version and package.json
• Rust toolchain matching rust-toolchain.toml
• Python matching .python-version for Python-backed smoke paths
• Tauri system dependencies (above)

See Development for toolchain ownership, setup caveats, and the current verification status.

Useful Commands

# Frontend type and configured test checks
npm run typecheck
npm run test:frontend

# Rust workspace checks
cargo fmt --all -- --check
cargo check --workspace --no-default-features

These commands prove only their stated scopes. Pantograph does not currently have one green repository-wide compliance command; see the verification audit.

Runtime Separation

Python-backed model execution is out-of-process and externally provisioned. See Runtime Operations for interpreter selection, runtime inspection, recovery, and current security/lifecycle limitations.

Headless Workflow API

Pantograph exposes a Rust-first service with UniFFI, Rustler, and optional HTTP projections. See Headless Workflow Integration for the supported ownership model, session flow, exact contract sources, and known transition boundaries.

Project Structure

Path	Description
ARCHITECTURE.md	Current architecture, target execution model, ownership, and status entry points
src/	Frontend Svelte app, UI components, stores, and services
src-tauri/src/	Tauri backend commands and runtime wiring
crates/	Shared Rust crates (inference, node-engine, workflow-nodes, bindings)
packages/svelte-graph/src/	Reusable graph editor package modules
scripts/	Validation and tooling scripts
docs/	Current guides, decisions, audits, and implementation plans

Contributing

1. Create a focused branch for one logical change.
2. Follow coding, tooling, accessibility, and documentation standards.
3. Run the smallest checks that decide the affected behavior and contracts.
4. Use Conventional Commits for all commits.

License

The repository currently contains Apache-2.0 license material while Cargo metadata declares MIT OR Apache-2.0. Resolve that mismatch before distribution; see Release.