modelchoice
modelchoice is a small, UI-independent Python library for discovering model
providers and producing stable picker rows. It is shared by Fash, Clash, and
other local AI clients without importing any of their application code.
from modelchoice import HuggingFaceSource, ModelCatalog
catalog = ModelCatalog()
quick_rows = catalog.quick_options() # no subprocesses or network calls
all_local_rows = catalog.initial_options() # includes installed CLI listings
router_rows = catalog.search_openrouter("coder")
hub = ModelCatalog([HuggingFaceSource()])
hub_rows = hub.search_huggingface("qwen coder")
Every source implements the ModelSource protocol and returns immutable
ModelOption and ProviderMetadata values. Built-in sources cover Claude
Code, Codex, Agy, Cursor, OpenRouter, OpenAI-compatible APIs, local servers,
and Hugging Face Hub discovery.
Credential metadata contains environment-variable names only. API keys, tokens, and other credential values are never stored in catalog rows or cache files. Applications remain responsible for passing credentials directly to their selected runtime backend.
Release files for modelchoice 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| modelchoice-0.1.0.tar.gz | 12.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| modelchoice-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.7 kB
Release files / modelchoice-0.1.0.tar.gz
| Download URL | modelchoice-0.1.0.tar.gz |
|---|---|
| Size | 12.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / modelchoice-0.1.0-py3-none-any.whl
| Download URL | modelchoice-0.1.0-py3-none-any.whl |
|---|---|
| Size | 15.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7aebad04e2698c102891245953265a07e848c2a90f3080e7742cc3ae666bddee
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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
|
Provenance
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PyPI Publish Attestation
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