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Merged
raullenchai merged 1 commit into from
Aug 8, 2026
Merged

Refresh signed-out catalog to the frontier lineup + v0.3.0 #6

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11 changes: 10 additions & 1 deletion README.md
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@@ -1,6 +1,6 @@
# QuickSilver Pro CLI

`qsp` — a command-line client for [QuickSilver Pro](https://quicksilverpro.io), one OpenAI-compatible API for top LLMs (DeepSeek, Qwen, Kimi, Gemini) **and** FLUX text-to-image — billed to a single balance. Open-source chat models run 20% below OpenRouter / Together / Fireworks.
`qsp` — a command-line client for [QuickSilver Pro](https://quicksilverpro.io), one OpenAI-compatible API for frontier and open-source LLMs (Claude, GPT, Gemini, 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.

Expand All @@ -26,6 +26,15 @@ End-user site: <https://quicksilverpro.io>.
pip install quicksilverpro
```

Or run it with no install:

```bash
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.

---
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11 changes: 6 additions & 5 deletions pyproject.toml
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Expand Up @@ -4,16 +4,17 @@ build-backend = "hatchling.build"

[project]
name = "quicksilverpro"
version = "0.2.0"
description = "CLI for QuickSilver Pro — one OpenAI-compatible API for DeepSeek, Qwen, Kimi, Gemini chat and FLUX image generation."
version = "0.3.0"
description = "CLI for QuickSilver Pro — one OpenAI-compatible API for Claude, GPT, Gemini, DeepSeek, Qwen, Kimi and Muse chat plus FLUX image generation, on a single balance."
readme = "README.md"
requires-python = ">=3.9"
license = { text = "MIT" }
authors = [{ name = "MachineFi Inc.", email = "hello@quicksilverpro.io" }]
keywords = [
"openai", "deepseek", "qwen", "kimi", "gemini", "flux",
"llm", "inference", "api", "chatgpt", "ai", "cli",
"image-generation", "text-to-image", "openrouter-alternative", "quicksilverpro",
"openai", "claude", "anthropic", "gpt", "gemini", "deepseek", "qwen",
"kimi", "muse", "flux", "llm", "inference", "api", "chatgpt", "ai", "cli",
"coding-agent", "image-generation", "text-to-image",
"openrouter-alternative", "quicksilverpro",
]
classifiers = [
"Development Status :: 4 - Beta",
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2 changes: 1 addition & 1 deletion src/quicksilverpro/__init__.py
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Expand Up @@ -3,4 +3,4 @@
See https://quicksilverpro.io for docs. `qsp --help` for quick reference.
"""

__version__ = "0.2.0"
__version__ = "0.3.0"
69 changes: 35 additions & 34 deletions src/quicksilverpro/cli.py
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Expand Up @@ -275,53 +275,54 @@ def balance(as_json: bool) -> None:
# not expose per-image pricing (its schema is per-token), so the CLI carries it
# here so `qsp models` can show image costs whether or not the user is signed in.
_IMAGE_PRICES: dict[str, float] = {
"flux.2-pro": 0.027,
"flux.1-schnell": 0.0025,
"flux.2-pro": 0.027,
}

# Hardcoded so `qsp models` works before the user has signed in. A curated view
# of the lineup — once signed in, `qsp models` shows the full live catalog
# (incl. Qwen/Kimi/Gemini variants). Keep prices in sync with the backend; CI
# smoke-tests this path. Prices verified 2026-07-31.
# Hardcoded so `qsp models` works before the user has signed in. A curated,
# hot-first view of the lineup — once signed in, `qsp models` shows the full
# live catalog (30+ models incl. every Qwen/Kimi/Gemini/Claude variant). Keep
# prices in sync with the backend; CI smoke-tests this path. Prices verified
# 2026-08-08 against qsp.gateway_model_pricing.
_MODELS_FALLBACK: list[dict] = [
{"id": "deepseek-v4-flash", "object": "model", "owned_by": "quicksilverpro",
"context_length": 1048576,
"pricing": {"prompt": "0.0000001120", "completion": "0.0000002240"},
"best_for": "official 0731 agent model · Codex · 1M context"},
{"id": "deepseek-v4-pro", "object": "model", "owned_by": "quicksilverpro",
{"id": "claude-opus-5", "object": "model", "owned_by": "quicksilverpro",
"context_length": 1000000,
"pricing": {"prompt": "0.0000040000", "completion": "0.0000200000"},
"best_for": "Anthropic flagship · deepest reasoning + agentic coding"},
{"id": "claude-sonnet-5", "object": "model", "owned_by": "quicksilverpro",
"context_length": 1000000,
"pricing": {"prompt": "0.0000020000", "completion": "0.0000100000"},
"best_for": "Claude Sonnet 5 · balanced coding + long-context agents"},
{"id": "gpt-5.6-sol", "object": "model", "owned_by": "quicksilverpro",
"context_length": 1048576,
"pricing": {"prompt": "0.0000003480", "completion": "0.0000006960"},
"best_for": "frontier reasoning + coding · 1M context"},
"pricing": {"prompt": "0.0000040000", "completion": "0.0000240000"},
"best_for": "OpenAI GPT-5.6 Sol · frontier reasoning + tool use"},
{"id": "qwen3.8-max", "object": "model", "owned_by": "quicksilverpro",
"context_length": 1048576,
"pricing": {"prompt": "0.0000020000", "completion": "0.0000060000"},
"best_for": "flagship Qwen · autonomous coding, long-horizon agents"},
{"id": "qwen3.7-max", "object": "model", "owned_by": "quicksilverpro",
{"id": "kimi-k3", "object": "model", "owned_by": "quicksilverpro",
"context_length": 1048576,
"pricing": {"prompt": "0.0000012500", "completion": "0.0000037500"},
"best_for": "flagship Qwen · agentic, long-context"},
{"id": "qwen3.7-flash", "object": "model", "owned_by": "quicksilverpro",
"pricing": {"prompt": "0.0000024000", "completion": "0.0000120000"},
"best_for": "Moonshot Kimi K3 · agentic coding + tool use · 1M context"},
{"id": "muse-spark-1.2", "object": "model", "owned_by": "quicksilverpro",
"context_length": 1048576,
"pricing": {"prompt": "0.0000000240", "completion": "0.0000001040"},
"best_for": "fast multimodal agents · vision · 1M context"},
{"id": "qwen3.6-plus", "object": "model", "owned_by": "quicksilverpro",
"pricing": {"prompt": "0.0000010000", "completion": "0.0000034000"},
"best_for": "Meta Muse Spark · long-context coding agent"},
{"id": "deepseek-v4-pro", "object": "model", "owned_by": "quicksilverpro",
"context_length": 1048576,
"pricing": {"prompt": "0.0000003480", "completion": "0.0000006960"},
"best_for": "frontier reasoning + coding · 1M context"},
{"id": "deepseek-v4-flash", "object": "model", "owned_by": "quicksilverpro",
"context_length": 1048576,
"pricing": {"prompt": "0.0000001120", "completion": "0.0000002240"},
"best_for": "official 0731 agent model · lowest cost · 1M context"},
{"id": "gemini-3.6-flash", "object": "model", "owned_by": "quicksilverpro",
"context_length": 1048576,
"pricing": {"prompt": "0.0000002600", "completion": "0.0000015600"},
"best_for": "strong general-purpose · 1M context"},
{"id": "qwen3.6-35b", "object": "model", "owned_by": "quicksilverpro",
"context_length": 262144,
"pricing": {"prompt": "0.0000001120", "completion": "0.0000008000"},
"best_for": "efficient long-context RAG (thinking model)"},
{"id": "kimi-k2.6", "object": "model", "owned_by": "quicksilverpro",
"context_length": 256000,
"pricing": {"prompt": "0.0000005472", "completion": "0.0000027280"},
"best_for": "agentic, tool use, long-context"},
"pricing": {"prompt": "0.0000012750", "completion": "0.0000063750"},
"best_for": "Google Gemini · fast multimodal · 1M context"},
{"id": "flux.2-pro", "object": "model", "owned_by": "quicksilverpro",
"price_per_image": 0.027,
"best_for": "high-fidelity text-to-image"},
{"id": "flux.1-schnell", "object": "model", "owned_by": "quicksilverpro",
"price_per_image": 0.0025,
"best_for": "fast, cheap text-to-image"},
]


Expand Down Expand Up @@ -584,7 +585,7 @@ def _image_path(stem: Path, index: int, count: int, ext: str) -> Path:
@main.command(help="Generate an image from a text prompt and save it to disk.")
@click.argument("prompt")
@click.option("-m", "--model", default=DEFAULT_IMAGE_MODEL, show_default=True,
help="Image model, e.g. flux.2-pro or flux.1-schnell.")
help="Image model, e.g. flux.2-pro.")
@click.option("-o", "--output", default=None,
help="Output file. Default: qsp-image-<ts>.<ext> in the current dir. "
"With -n > 1 a 1-based index is inserted before the extension.")
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