redshift 623c55227c fix(ehbp): drop nonce on key-config passthrough, exact media type, call-site tests
Address review feedback on the key-config 422 passthrough:

- Drop Ehbp-Response-Nonce (and content-length) from the passthrough.
  A nonce only carries meaning on an encrypted response body, and the
  stock ehbp client (shouldDecryptResponse) checks the nonce BEFORE the
  key-config mismatch -- a forwarded nonce would push that client into
  the decrypt path on the plaintext error body, so re-attestation would
  never fire. routstr-sdk checks key-config first, but the passthrough
  must stay correct for any EHBP client. Content-length is recomputed
  from the body instead of forwarded.
- Match the media type exactly (split on ';') like the ehbp client's
  isProblemJSONContentType, instead of a substring check that also
  accepted e.g. 'text/html; x=application/problem+json'.
- Add call-site tests: the bearer path (driven through the proxy
  handler) pins that a key-config 422 passes through as problem+json
  AND releases the reservation (the early return skips the
  UpstreamError handler, so the release depends on 422 remaining
  non-retryable); the x-cashu path pins the full refund and the
  X-Cashu header on the passthrough response.
- Apply ruff format to the touched test file.
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Routstr Payment Proxy

License Stars Issues Release

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

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:

  1. 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.com
    

    Your 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. (NSEC in .env is 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())"
    
  2. Start the services:

    docker compose up -d
    
  3. Get your admin password: On first start the node generates an admin password and logs it once with the /admin URL. 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.)

  4. 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
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Description
Routstr is a decentralized protocol for permissionless, private, and censorship-resistant AI inference.
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