Most smart contract templates assume on-chain determinism; GenLayer changes that by letting contracts call the web and LLMs, which shifts the main engineering burden from isolated execution to reproducible nondeterminism handling. This boilerplate captures those patterns: a concrete football-bets intelligent contract plus the testing, linting, and CI scaffolding you need to develop, validate, and deploy contracts that safely use web access and LLMs.
What Sets It Apart
- Concrete nondeterminism tooling: includes a GenVM linter (catching forbidden imports, invalid storage types, missing decorators, and nondeterministic code placement) so you can detect contract issues before deployment — reducing integration-cycle failures. This means fewer surprise reverts when you move from in-memory tests to a consensus environment.
- Fast direct-mode feedback loop: direct in-memory tests run in milliseconds and provide mocking primitives (mock_web, mock_llm, direct_deploy) so agents and CI can iterate without a running Studio instance. So dev iterations and automated agents can validate logic quickly.
- End-to-end integration and deployment paths: provides integration tests for GenLayer Studio, TypeScript deployment scripts, and a production-ready Next.js 15 frontend scaffold. This bridges the gap from dev proof-of-concept to a deployable DApp.
- Practical example of LLM + web usage: the football-bets contract demonstrates fetching web pages, extracting scores via an LLM, and validating results under GenLayer's equivalence principle — a useful template for building other AI-driven on-chain workflows.
Who it's for & tradeoffs
Great fit if you are building or experimenting with AI-native smart contracts on GenLayer and need a tested, opinionated starter kit that demonstrates safe patterns for web/LLM calls, fast local testing, and CI-ready workflows. It’s also useful as a learning artifact for teams evaluating GenLayer capabilities.
Look elsewhere if you need a production-ready financial platform out of the box: the repo is a developer-focused boilerplate and example (requires Python >=3.12, GenLayer CLI/Studio for full integration tests) rather than a hardened, audited mainnet product. Expect to adapt and harden the example before any real-value deployment.
