llm-router-utils is a collection of ready‑made tools and examples built on top of LLM‑Router – a flexible
language‑model router. The repository contains:
- Ready‑to‑run examples – scripts, configurations, and small applications that you can simply clone and execute.
- Universal tools – useful in many areas (data analysis, text processing, content protection, etc.).
- Minimal setup – everything you need is in the repository; after cloning, just run a few commands.
- Fast start – you don’t have to build infrastructure from scratch; all components are already prepared.
- Modularity – you can pick only the parts you need and easily combine them.
- Extensibility – thanks to LLM‑Router you can plug in any model (local, cloud‑based, custom service) and take advantage of built‑in load‑balancing strategies.
| Directory / File | Description |
|---|---|
| resources/llm-router-speakleash/ | Example configuration and launch scripts for Speakleash models (e.g., Bielik‑11B‑v2.3‑Instruct and Bielik‑Guard). |
run‑*.sh |
Bash start‑up scripts (VLLM, REST‑API, Guardrail). Just make them executable (chmod +x) and run them. |
llm_router_utils/ |
Python package with helper functions (currently empty, ready for extension). |
README.md (this file) |
Guide to the repository. |
requirements.txt (optional) |
List of dependencies, if you decide to add your own libraries. |
# 1️⃣ Clone the repository
git clone https://github.com/radlab-dev-group/llm-router-utils.git
cd llm-router-utils
# 2️⃣ Install the package (editable mode is handy during development)
pip install -e .
# 3️⃣ Install the full set of dependencies (including llm-router and llm-router‑services)
pip install ."[llm-router]"
# Dependencies that will be pulled automatically:
# - llm-router @ git+https://github.com/radlab-dev-group/llm-router
# - llm-router-services @ git+https://github.com/radlab-dev-group/llm-router-servicesThese dependencies are fetched directly from the specified Git repositories during the pip install .[llm-router] step.
llm-router-utils is a compact toolkit that lets you test and deploy LLM‑Router‑based solutions within minutes.
Just clone, set permissions, and run – and you’ll have a working content‑generation and protection pipeline.
Happy coding! 🚀