Skip to main content

recommend-model (rmodel)

探测商用大模型可用性,并一键把千问免费额度模型写入 OpenClaw / Codex。

可用性探测 ≠ 账单状态。qwen-free千问 CLI usage free-tier 为准。

安装(PyPI)

pip install recommend-model
rmodel --help

升级:

pip install -U recommend-model

开发安装:

git clone <your-repo>
cd recommend-model
python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"

只需本机有 Node.js / npm(>=18)rmodel qwen-free 会在需要时自动:

  1. npm install -g @qianwenai/qianwen-cli
  2. 拉起 qianwen auth login(浏览器授权)
  3. 拉取免费额度模型并写入 OpenClaw / Codex

一键配置千问免费模型

rmodel qwen-free

可选:

rmodel qwen-free --dry-run
rmodel qwen-free --set-primary --agent main
rmodel qwen-free --api-key sk-xxx
rmodel qwen-free --no-install
rmodel qwen-free --no-login
rmodel qwen-free --yes
场景 行为
已有 DashScope/千问 API provider 复用 Key,补充最多 5 个仍有免费额度的模型选项
没有 API provider 引导创建/填写 API Key,新建 dashscope provider 并写入
订阅 Plan(qianwen-plan 等) 不当作 API 配置复用

qianwen auth login(CLI 会话)与 DashScope API Key 是两套凭证。
API Key 控制台:https://bailian.console.aliyun.com/?tab=model#/api-key

通用探测

rmodel probe --source openclaw
rmodel apply --target openclaw --agent main --to dashscope/qwen-plus

发布到 PyPI(维护者)

pip install -e ".[dev]"
python -m build
twine check dist/*
TWINE_USERNAME=__token__ TWINE_PASSWORD=pypi-... twine upload dist/*

开发

pytest

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

recommend_model-0.1.0.tar.gz (29.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

recommend_model-0.1.0-py3-none-any.whl (31.9 kB view details)

Uploaded Python 3

File details

Details for the file recommend_model-0.1.0.tar.gz.

File metadata

  • Download URL: recommend_model-0.1.0.tar.gz
  • Upload date:
  • Size: 29.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.14.4

File hashes

Hashes for recommend_model-0.1.0.tar.gz
Algorithm Hash digest
SHA256 b9f3299c86ff4b1d4bf1fa0f2b8475d5c6eaeecb0b3efdb03758e73061759e66
MD5 d7d055163e31dc76efd32b7d0db8dc4c
BLAKE2b-256 f34d1256341d10849e4d83a70c7204ca2612389fb17d187615b74c150a30a09e

See more details on using hashes here.

File details

Details for the file recommend_model-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for recommend_model-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 09e28b0856fdc4d87c3b3326d95478f121c6380f1d65b4d8b2b32033cab93ad4
MD5 899e1229ac62ca857234aa146f9adba0
BLAKE2b-256 2aceaa8ece644bee7aab2d85a43bfcceb0d06666904e43cbf327b3a215d9738f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page