novai-python
OpenAI-compatible SDK + MCP server for 120+ Chinese frontier AI models (DeepSeek, Qwen, GLM, Kimi, Seedance, MiniMax, Hunyuan, CogVideoX, ...) via NovAI — one key, one endpoint, 0% platform fee (raw provider list price; vs OpenRouter ~5.5% markup).
- Endpoint:
https://aiapi-pro.com/v1(change onebase_urlline from any OpenAI code) - Free:
$2signup credit, no card; plus free-unlimited models (glm-4.7-flash,glm-4.6v-flash,glm-4.1v-thinking-flash,cogview-3-flash,cogvideox-flash) - Live pricing: https://aiapi-pro.com/china-ai-leaderboard.json
Install
PyPI package name: aiapi-pro (import name: novai). Once published:
pip install aiapi-pro
export NOVAI_API_KEY=sk-... # https://aiapi-pro.com/register ($2 free)
From source (always current):
pip install git+https://github.com/vvvvking/novai-python.git
export NOVAI_API_KEY=sk-... # https://aiapi-pro.com/register ($2 free)
SDK quickstart
from novai import chat, list_models, generate_image, pricing
print(chat("deepseek-v4-flash", "Explain MCP in one sentence."))
print(generate_image("cogview-3-flash", "a red panda astronaut")) # free model
print(pricing()["categories"][0]["models"][0]) # cheapest chat model, live
Any existing OpenAI code works by swapping the base URL:
from openai import OpenAI
c = OpenAI(base_url="https://aiapi-pro.com/v1", api_key="sk-...")
MCP server
Expose the models as tools to any MCP client (Claude Desktop, Cursor, Cline, ...):
{
"mcpServers": {
"novai": {
"command": "python",
"args": ["-m", "novai.mcp_server"],
"env": { "NOVAI_API_KEY": "sk-..." }
}
}
}
Tools provided: novai_list_models, novai_chat, novai_generate_image,
novai_free_models, novai_cheapest, novai_pricing_feed, novai_transparency.
Transparency
0% platform fee, 1.0x price multiplier, $5 min top-up, 60 req/min, unused-balance 7-day refund, failed video/3D jobs refunded in full. Machine-readable: https://aiapi-pro.com/transparency.json. Chinese image models apply a visible "AI-generated" corner watermark per China labeling rules (https://aiapi-pro.com/watermark-notice).
License
MIT
Metadata
Release files for aiapi-pro 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| aiapi_pro-0.1.1.tar.gz | 4.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aiapi_pro-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.6 kB
Release files / aiapi_pro-0.1.1.tar.gz
| Download URL | aiapi_pro-0.1.1.tar.gz |
|---|---|
| Size | 4.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cef2d7a1d9f399a6e8f34905efda23f086e93e7fad2755f98e3df595065b03df
|
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BLAKE2b-256 checksum How to use checksums |
24710da682850227f95ca90ae300187b8ac4b65c574eed5f9722c50a13c2159e
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Provenance
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Transparency logRelease files / aiapi_pro-0.1.1-py3-none-any.whl
| Download URL | aiapi_pro-0.1.1-py3-none-any.whl |
|---|---|
| Size | 5.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7a0a5deaea53eff2d67f8b48930b4bc323f44d313d6e76e72bc92f67fafb2789
|
|
BLAKE2b-256 checksum How to use checksums |
828d7133877ec38026893d33f2e72ece01e86333cbc595b4c5478a25b5610c11
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.
Transparency log