Lunar Tools is a Python library (v0.4) providing a modular toolkit for building interactive exhibitions. It bundles capabilities for audio recording/playback, speech-to-text and text-to-speech (OpenAI, ElevenLabs, Deepgram), real-time voice interaction via OpenAI Realtime API, webcam capture, MIDI controller input, multi-backend display rendering (OpenGL, OpenCV, Pygame, SDL/CUDA), and inter-process communication through OSC, ZMQ, and WebRTC (data channels and audio streaming). Additionally, it includes wrappers for image generation APIs (DALL-E 3, SDXL Turbo/Replicate, Flux on fal.ai) and LLM interfaces (OpenAI, Gemini, DeepSeek). The library is designed for quick prototyping of interactive installations, with example scripts in the `examples/` directory that demonstrate each module. The codebase is a collection of independent submodules rather than a monolith, each with its own set of dependencies. The most technically interesting parts are the WebRTC communication layer (`lunar_tools/comms/webrtc.py`), which handles SDP exchange via a local REST signaling server, supports automatic reconnection, and includes Opus codec tuning for high-quality audio. The custom codec (`lunar_tools/comms/webrtc_codec.py`) for encoding numpy arrays and messages into WebRTC data channels is a clean, reusable component. The ZMQ pair endpoint (`lunar_tools/comms/zmq.py`) offers a simple bidirectional JSON/image/audio channel. However, many modules suffer from inconsistent error handling, lack of type hints, and tight coupling to logging utilities. The overall architecture is pragmatic but not exemplary; it serves its purpose as a glue library for exhibition software. The repository includes a test suite (pytest) covering individual modules, CI/CD for PyPI publishing, and basic documentation in the README. Maintenance appears active (last commit within a month, though the date may be anomalous). It carries a BSD-3 license and has 296 GitHub stars, suggesting moderate community interest.