Agent-first CLI for tokenroute — OpenAI-compatible LLM gateway with smart routing and transparent billing
Project description
tokenroute (Python CLI)
Agent-first CLI for tokenroute — the OpenAI-compatible LLM API gateway with smart routing and transparent token billing.
Install
pip install tokenroute
# or, run once without installing:
uvx tokenroute --help
pipx run tokenroute --help
Quickstart
tokenroute login # OAuth device-flow, opens browser
tokenroute whoami # current user + balance
tokenroute keys create --name my-app # create new sk-tr-* key
tokenroute balance # current credit
All commands accept --json (or env TOKENROUTE_JSON=1) for machine-parseable output that's friendly to agents and CI.
Agent / sub-agent usage (no interactive login)
For automation, skip tokenroute login and call the OpenAI-compatible API directly with a pre-issued key:
export TOKENROUTE_API_KEY=sk-tr-...
curl https://api.tokenroute.io/v1/chat/completions \
-H "Authorization: Bearer $TOKENROUTE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"openai/gpt-4o-mini","messages":[{"role":"user","content":"hi"}]}'
Configuration
| Env var | Default | Purpose |
|---|---|---|
TOKENROUTE_API_URL |
https://api.tokenroute.io |
Override gateway base URL |
TOKENROUTE_API_KEY |
(unset) | sk-tr-* key for LLM calls — skips login |
TOKENROUTE_JSON |
(unset) | Set to 1 to force JSON output globally |
Credentials from tokenroute login are stored at ~/.paradigx/auth.json
(owner-readable only on POSIX) — shared with other Paradigx CLIs (e.g.
botu) and auto-refreshed, so login is a one-time step per machine.
Upgrading from 0.1.x migrates the old ~/.tokenroute/credentials.json
automatically on first run.
License
MIT
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