Skip to content

basifat/runlayer

Repository files navigation

RunLayer

Validate AI outputs through pluggable validators and produce signed, shareable proof artifacts.

Status: early stage. The core validation API and the Python SDK are implemented; everything else (web UI, TypeScript SDK, CLI) is planned. See Roadmap.

Why

AI output is probabilistic; most systems that consume it need something deterministic to trust. RunLayer sits between an AI system and its consumers: outputs are run through validators (schema checks, business rules, custom code), and successful validation produces a cryptographically signed proof artifact that can be stored, shared, and verified independently.

What exists today

runlayer/
├── packages/
│   ├── core/                # Validation API (FastAPI)
│   │   ├── src/validators/  # Validator registry, execution framework, sandboxed Python executor
│   │   ├── src/proofs/      # Proof generation, signing, and storage
│   │   ├── src/storage/     # Content-addressed artifact storage (S3-compatible)
│   │   ├── src/redis/       # Cache, sessions, and job queue
│   │   ├── alembic/         # Database migrations (multi-tenant PostgreSQL)
│   │   └── tests/
│   └── sdk/
│       └── python/          # Python SDK: client, validator base classes, crypto utils
├── scripts/                 # Story-driven PR automation (see Development workflow)
└── docs/archive/            # Working documents from implemented stories

Tech stack

  • API: FastAPI (Python 3.11+), JWT auth, rate limiting, correlation-ID request tracing
  • Database: PostgreSQL (async SQLAlchemy 2.0, Alembic migrations, multi-tenant)
  • Cache/queue: Redis
  • Artifact storage: S3-compatible object storage (boto3)
  • Proofs: cryptography-based signing of validation results
  • Monorepo: Turborepo workspaces

Quick start

Prerequisites: Python 3.11+, PostgreSQL, and Redis running locally.

Core API

cd packages/core
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt

# Configuration comes from environment variables (12-factor).
# See .env.example at the repo root for the full list.
export DATABASE_URL="postgresql+asyncpg://user:pass@localhost:5432/runlayer"
export REDIS_URL="redis://localhost:6379/0"
export JWT_SECRET_KEY="dev-secret-key-at-least-32-characters-long"

alembic upgrade head
uvicorn src.main:app --reload   # API at http://localhost:8000, docs at /docs

Python SDK

cd packages/sdk/python
pip install -e .
python examples/basic_usage.py

Tests

cd packages/core && pytest          # coverage gate at 80%
cd packages/sdk/python && pytest

Development workflow

The project is built in story-sized increments, each landing as a reviewed PR. PR descriptions are generated from stories-config.yml by scripts/auto-pr-generator.py; the working documents for completed stories are kept in docs/archive/ for reference.

Roadmap

  • TypeScript SDK
  • CLI for running validators locally
  • Web UI for browsing proofs
  • Validator marketplace / sharing

License

MIT

About

The trust layer for AI - Validate AI outputs with cryptographic proof

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages