| name | setup |
| description | Guide for installing Tinker, setting up the environment, getting an API key, and verifying everything works. Use when the user is getting started, setting up their environment, or troubleshooting installation issues. |
Setup & Installation
Get Tinker and tinker-cookbook running from scratch.
Reference
docs/install.mdx — Official installation guide
CONTRIBUTING.md — Development setup
README.md — Project overview
Step 1: Sign up and get an API key
- Sign up at https://auth.thinkingmachines.ai/sign-up
- Create an API key from the console
- Export it:
export TINKER_API_KEY=<your-key>
Add to your shell profile (.bashrc, .zshrc) for persistence.
Step 2: Install Tinker SDK
pip install tinker
This gives you:
- Python SDK —
TrainingClient, SamplingClient, low-level training/sampling APIs
- Tinker CLI —
tinker or python -m tinker for management tasks
Step 3: Install tinker-cookbook
git clone https://github.com/thinking-machines-lab/tinker-cookbook.git
cd tinker-cookbook
pip install -e .
Or with dev dependencies (for contributing):
uv sync --extra dev
pre-commit install
Step 4: Verify installation
import tinker
service_client = tinker.ServiceClient()
training_client = service_client.create_lora_training_client(
base_model="meta-llama/Llama-3.2-1B", rank=32,
)
info = training_client.get_info()
print(info)
Step 5: Run a minimal example
python -m tinker_cookbook.recipes.sl_basic
python -m tinker_cookbook.recipes.rl_basic
Environment variables
| Variable | Purpose |
|---|
TINKER_API_KEY | Required — authenticates with Tinker service |
HF_TOKEN | Optional — access gated HuggingFace models (Llama, etc.) |
HF_TRUST_REMOTE_CODE | Optional — allow custom tokenizer code |
WANDB_API_KEY | Optional — log to Weights & Biases |
Common issues
TINKER_API_KEY not set: Export the key in your shell or .env file
- Tokenizer download fails: Set
HF_TOKEN for gated models (e.g., Llama)
- Import errors: Ensure
pip install -e . was run from the repo root
uv not found: Install with curl -LsSf https://astral.sh/uv/install.sh | sh