The topup endpoint was the only token-redemption path that returned a
plain string under — the X-Cashu (chat completions) and bearer
(API key minting) paths both return the structured envelope
.
All three paths already share , so the
topup path classified the error into type/code/status/message but then
discarded and , putting only the message string in .
This commit makes topup reuse
(already used by the bearer path) so clients get the same /
on every redemption endpoint and can branch on / uniformly
instead of topup being a special case that only exposes the HTTP status.
Changes:
- balance.py: import and use ;
unclassified 500 also returns structured /
- errors.md: document that all three paths now expose type/code;
update the topup error example to show the structured envelope
- endpoints.md: fix stale success response (was {balance, amount_added,
currency}; actual shape is {msats: int})
- test_balance.py: assert full structured envelope (type, code, message)
instead of just the plain-string detail
- test_wallet_topup.py, test_error_handling_edge_cases.py,
test_swap_fee_retry.py: handle detail-as-dict in integration tests
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, start a Routstr Core instance using Docker Compose:
-
Prepare your
.env:# 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 -d -
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