Skip to main content

Python wrapper for the LLM Werewolf Rust binary.

Project description

LLMWereWolf-rs

Crates.io Crates.io Downloads npm version npm downloads PyPI version PyPI downloads rust tests code-quality license PRs

🚀 A Rust rewrite of LLM Werewolf—the social deduction game powered by LLM agents. This repo hosts the core engine scaffold, release tooling, and multi-language package surfaces that the upcoming implementation will build upon.

Project languages: English | 繁體中文 | 简体中文

✨ Highlights

  • Modern Cargo layout (src/lib.rs, src/main.rs, tests/)
  • Dynamic version information with git metadata (tag, commit hash, build tools)
  • Lint & format with clippy and rustfmt
  • GitHub Actions: tests, quality, package build, Docker publish, release drafter, Rust-aware labeler, secret scans, semantic PR, weekly dependency update
  • Multi-stage Dockerfile producing a minimal runtime image

🚀 Quick Start

Requirements:

  • Rust 1.85 or higher (using Edition 2024)
  • Docker (optional)

Install Rust via rustup if you haven't already.

make fmt            # rustfmt + clippy
make test           # cargo test (all targets)
make test-verbose   # cargo test (all targets with verbose output)
make coverage       # generate LCOV coverage report
make build          # cargo build (release mode)
make build-release  # cargo build --release
make run            # run the release binary
make clean          # clean build artifacts and caches
make package        # build crate package (allow dirty)
make help           # list targets

📌 Version Information

The binary automatically displays dynamic version information including:

  • Git tag version (or Cargo.toml version if no tags)
  • Commit count since last tag
  • Short commit hash
  • Dirty working directory indicator
  • Rust and Cargo versions used for building

Example output:

llmwerewolf-rs v0.1.25-2-gf4ae332-dirty
Built with Rust 1.90.0 and Cargo 1.90.0

This version information is embedded at build time through build.rs and automatically updated based on your git state.

🐳 Docker

docker build -f docker/Dockerfile --target prod -t ghcr.io/<owner>/<repo>:latest .
docker run --rm ghcr.io/<owner>/<repo>:latest

Or using the actual binary name:

docker build -f docker/Dockerfile --target prod -t llmwerewolf-rs:latest .
docker run --rm llmwerewolf-rs:latest

📦 Packaging

make package        # build crate package (allow dirty)
# or use cargo directly:
cargo package --locked --allow-dirty
# CARGO_REGISTRY_TOKEN=... cargo publish

CI builds run automatically on tags matching v* and upload the .crate file. Uncomment the publish step in build_package.yml to automate crates.io releases.

Distribution identifiers:

  • Crate: llmwerewolf-rs
  • npm: llmwerewolf-rs (and scoped @mai0313/llmwerewolf-rs)
  • PyPI: llmwerewolf-rs

🧩 Cross Builds

This setup does not ship cross-compile tooling by default. If you need cross or zig-based builds locally, install and configure them per your environment.

GitHub Actions build_release.yml builds multi-platform release binaries on tags matching v* and uploads them to the GitHub Release assets.

Targets:

  • x86_64-unknown-linux-gnu, x86_64-unknown-linux-musl
  • aarch64-unknown-linux-gnu, aarch64-unknown-linux-musl
  • x86_64-apple-darwin, aarch64-apple-darwin
  • x86_64-pc-windows-msvc, aarch64-pc-windows-msvc

Assets naming:

  • <bin>-v<version>-<target>.tar.gz (all platforms)
  • <bin>-v<version>-<target>.zip (Windows additionally)

🔁 CI/CD Workflows

Main Workflows

  • Tests (test.yml): cargo build/test + generate LCOV coverage report and upload artifact
  • Code Quality (code-quality-check.yml): rustfmt check + clippy (deny warnings)
  • Build Package (build_package.yml): package on tag v*, optional crates.io publish
  • Publish Docker Image (build_image.yml): push to GHCR on main/master and tags v*
  • Build Release (build_release.yml): Linux release binaries uploaded on tags v*

Additional Automation

  • Auto Labeler (auto_labeler.yml): automatically label PRs based on branch names and file changes
  • Code Scan (code_scan.yml): multi-layer security scanning (GitLeaks, Trufflehog secret scanning, CodeQL code analysis, Trivy vulnerability scanning)
  • Release Drafter (release_drafter.yml): auto-generate release notes
  • Semantic PR (semantic-pull-request.yml): enforce PR title format
  • Dependabot weekly dependency updates

🤝 Contributing

  • Open issues/PRs

  • Use Conventional Commits for PR titles

  • Keep code formatted and clippy‑clean

  • After every edit, run cargo build to confirm compilation is successful

  • Before opening a PR, please run locally:

    • cargo fmt --all -- --check
    • cargo clippy --all-targets --all-features -- -D warnings
    • cargo test

📄 License

MIT — see LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llmwerewolf_rs-0.0.2.tar.gz (4.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

llmwerewolf_rs-0.0.2-py3-none-any.whl (5.3 kB view details)

Uploaded Python 3

File details

Details for the file llmwerewolf_rs-0.0.2.tar.gz.

File metadata

  • Download URL: llmwerewolf_rs-0.0.2.tar.gz
  • Upload date:
  • Size: 4.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.4

File hashes

Hashes for llmwerewolf_rs-0.0.2.tar.gz
Algorithm Hash digest
SHA256 a1575d3a8211fe4c29da21b9269e8639036342558afb6be4a40211deaa3a27cf
MD5 6e7c5332799cbcda678ef2e39e56bbba
BLAKE2b-256 83042543dfb4d24932a013db5253b6afe4ebf839bbbd4ec5bbc76a1cf147aa7a

See more details on using hashes here.

File details

Details for the file llmwerewolf_rs-0.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for llmwerewolf_rs-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 b795aa365fb6ea19a6b79e71ccb40f634ca5cbfd812d0cc3a4890b16d2321401
MD5 1da006a09a4432b3cc76026483026716
BLAKE2b-256 c7a4c92dcc7b98764e44a85c61921e5dd9ce0f7b64bd17d2437c817fa59bcf71

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page