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QuickSilver Pro CLI

qsp — a command-line client for QuickSilver Pro, one OpenAI-compatible API for frontier and open-source LLMs (Claude, GPT, Gemini, Grok, GLM, DeepSeek, Qwen, Kimi, Muse) and FLUX text-to-image — all billed to a single balance. Open-source chat models run up to 20% below OpenRouter.

Designed to be AI-agent friendly: data commands accept --json for structured output, exit codes are reliable, and the API surface is intentionally small.


Related repos

QuickSilver Pro is developed in three repositories under machinefi:

Component Repo Visibility
CLIqsp command-line client (this repo) qspro-cli Public
Backend — API gateway + billing qspro-backend Private
Frontend — landing + dashboard qspro-frontend Private

End-user site: https://quicksilverpro.io.


Install

pip install quicksilverpro

Or run it with no install:

uvx quicksilverpro chat "Write me a haiku"     # via uv — fetches Python for you: https://docs.astral.sh/uv/
pipx run quicksilverpro chat "Write me a haiku"  # via pipx (needs Python 3.10+)

On Windows, uvx is the simplest path — uv downloads a suitable Python automatically. On macOS you can also brew install machinefi/qspro/qspro.

Python 3.9+. Also exports itself as quicksilverpro if you prefer the long name.


Quick start

qsp init                          # opens dashboard to get a key, stores it locally
qsp chat "Write me a haiku"       # one-shot streaming chat (deepseek-v4-flash by default)
qsp image "a fox in the snow"     # text-to-image, saves a file (flux.2-pro by default)
qsp balance                       # current credits
qsp models                        # supported models with prices & context length
qsp status                        # live per-model latency

Commands

Command Purpose
qsp init [--email X] [--key sk-...] Sign in (browser walkthrough) or paste an existing key
qsp logout Forget locally-stored key
qsp whoami [--json] Show signed-in email + balance
qsp balance [--json] Credit balance + lifetime spend
qsp models [--json] Available models + pricing + context length
qsp chat "PROMPT" [-m MODEL] [-s SYS] [--max-tokens N] [--temperature F] [--no-stream] [--json] One-shot completion, streams to stdout by default
qsp image "PROMPT" [-m MODEL] [-o FILE] [--size WxH] [-n N] [--json] Text-to-image; saves to a file (flux.2-pro by default)
qsp usage [-n 10] [--json] Recent calls + aggregate per-model
qsp status [--json] Live health of API + per-model probes
qsp keys list [--json] Your API keys
qsp keys create ALIAS [--monthly-limit USD] [--json] Create a new key with optional spend cap
qsp keys delete ALIAS [-y] Delete a key (confirmation prompt unless -y)
qsp pay {5,20,50} Opens Stripe checkout for a credit top-up

AI-agent usage

Data commands (chat, image, models, balance, usage, status, keys list/create, whoami) support --json and print OpenAI-shaped JSON to stdout with errors on stderr.

qsp models --json | jq '.[].id'
qsp usage --json  | jq '.totals.cost'
qsp chat "Summarize: $DOCUMENT" --json --no-stream | jq -r '.choices[0].message.content'
qsp image "a fox in the snow" -o fox.png        # writes fox.png
qsp image "a fox in the snow" --json | jq -r '.data[0].b64_json' | base64 -d > fox.png

Exit codes: 0 success · 1 remote/operational error · 2 usage / auth error.


Config

Key stored at ~/.config/quicksilverpro/config.json (chmod 600). Override with:

  • QSP_API_KEY — use this key directly, ignore stored config
  • QSP_API_URL — default https://api.quicksilverpro.io/v1
  • QSP_AUTH_URL — default https://pay.quicksilverpro.io
  • QSP_MODEL — default model for qsp chat
  • QSP_IMAGE_MODEL — default model for qsp image
  • QSP_CONFIG_DIR — where to store config
  • QSP_HTTP_TIMEOUT — seconds, default 60 (image requests default to 180)

Use the openai SDK directly

You don't need this CLI to use QuickSilver Pro. The OpenAI Python / Node / Swift SDKs work with only a base_url change:

from openai import OpenAI
client = OpenAI(
    base_url="https://api.quicksilverpro.io/v1",
    api_key="sk-...",   # your QuickSilver Pro key
)
r = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[{"role": "user", "content": "Hello"}],
)

See quicksilverpro.io/dashboard#quickstart for JS / Swift / curl.


License

MIT.

QuickSilver Pro is a product of MachineFi Inc. (68 Willow Rd, Menlo Park, CA).

Links: home · status · terms · privacy

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