Add a first-class `deepseek` upstream provider that needs only an API key; the base URL is fixed to https://api.deepseek.com. DEEPSEEK_API_KEY seeds it on startup. Models come from DeepSeek's own /models and are priced from a peak-rate table in routstr/upstream/deepseek.py. A listed model the table misses is imported disabled instead of taking a litellm/OpenRouter price, via a new GenericUpstreamProvider.use_fallback_pricing switch (default True, so other providers are unchanged). The node bills one flat price per model, so the table holds the peak rate and never bills below DeepSeek's cost. Thinking-mode reasoning_content is forwarded unchanged: DeepSeek requires it on requests that carry tools and ignores it otherwise. Remove the temporary DeepSeek V4 pricing shim and its startup call. The pinned litellm 1.101.2 already ships every key it filled.
Routstr Payment Proxy
Routstr is a decentralized protocol for permissionless, private, and censorship-resistant AI inference. It combines Nostr for discovery and Cashu for private Bitcoin micropayments.
This repo contains Routstr Core: a FastAPI-based reverse proxy that sits in front of OpenAI-compatible APIs and handles pay-per-request billing.
Start Here
- Overview: https://docs.routstr.com/overview/
- Provider Guide: https://docs.routstr.com/provider/quickstart/
- User Guide: https://docs.routstr.com/user-guide/introduction/
Basic Usage
If you are a user/developer, you just point an OpenAI-compatible SDK at a Routstr node and pay with a Cashu token.
OpenAI SDK
from openai import OpenAI
client = OpenAI(
base_url="https://api.routstr.com/v1",
api_key="cashuBo2FteCJodHRwczovL21...",
)
response = client.chat.completions.create(
model="gpt-5-nano",
messages=[{"role": "user", "content": "hello"}],
)
print(response.choices[0].message.content)
cURL
curl https://api.routstr.com/v1/chat/completions \
-H "Content-Type: application/json" \
-H "x-cashu: cashuBo2FteCJodHRwczovL21..." \
-d '{
"model": "gpt-5-nano",
"messages": [{"role": "user", "content": "hello"}]
}'
Quick Start (Docker)
If you are a node runner, the recommended way to start Routstr Core is to clone the repository at the latest release and run it with Docker Compose:
-
Clone the latest release:
git clone https://github.com/Routstr/routstr-core.git cd routstr-core git checkout v0.4.7 # current release — see https://github.com/Routstr/routstr-core/releases/latestDocker Compose builds the node and the admin dashboard from source, so there is no image to pull.
-
Prepare your
.env:cp .env.example .envThen edit it with your details:
# Optional: encrypts node secrets at rest. If unset, the node generates a key # on first start, writes it to routstr_secret.key, and prints it once — back # up that file. Set it explicitly to manage the key yourself (recommended in # production). ROUTSTR_SECRET_KEY=<generated-key> NAME="My AI Node" DESCRIPTION="Fast access to models" RECEIVE_LN_ADDRESS=yourname@wallet.comYour Nostr identity (
nsec) is not set in.env— configure it from the admin UI after first start, where it's stored encrypted in the database. (NSECin.envis still read once as a legacy seed for existing deployments.)If you don't set one, a key is generated and printed on first start — save it somewhere safe (losing it makes previously encrypted secrets unreadable). To supply your own, generate it once and keep it stable:
uv run python -c "from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())" -
Start the services:
docker compose up -dThe first start builds both images (the dashboard build takes a few minutes).
-
Get your admin password: On first start the node generates an admin password and logs it once with the
/adminURL. Read it from the logs:docker compose logs routstr | grep -i admin(Lost it? Reset with
docker compose exec routstr /.venv/bin/python scripts/reset_admin_password.py --regenerate.) -
Configure: Open http://localhost:8000/admin/ to connect your AI providers and set pricing.
For full instructions, see the Provider Quick Start Guide.
Development
make setup
cp .env.example .env
fastapi run routstr