ipx
The InferencePort AI command line.
Cloud chat & media generation · organizations · local models · host server — one native binary.
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Install
ipx ships as a self-contained native binary (compiled with Nuitka). Use whichever package
manager you already have — none of them need Python or anything else installed beyond themselves.
| You have | Command |
|---|---|
| pip | pip install inferenceport-cli |
| npm | npm install -g @inferenceport-ai/ipx |
| cargo | cargo install ipx-cli |
| macOS / Linux shell | curl -fsSL https://raw.githubusercontent.com/inferenceport-ai/cli/main/install.sh | sh |
| Windows PowerShell | irm https://raw.githubusercontent.com/inferenceport-ai/cli/main/install.ps1 | iex |
| Nothing | Download from Releases |
Tour
ipx auth login # email, GitHub, Google, Microsoft, Hugging Face, SSO or API key
ipx auth context acme # act as an organization (billing, policy, `ipx org …`)
ipx gen chat # interactive chat with your Lightning subscription
ipx gen image "a lighthouse at dawn" -o lighthouse.jpg
ipx gen video "a drone shot over a canyon" --seconds 8
ipx gen audio speech "Welcome to InferencePort"
ipx p2g chat # credit-metered Pay-2-Go API
ipx p2g 3d --image chair.jpg -o chair.glb
ipx p2g balance
ipx org members list # organizations
ipx org invite create dev@acme.com --role admin
ipx org keys create ci --monthly-limit 25
ipx featherless deploy Qwen/Qwen2.5-7B-Instruct # personal, or for the org with `-O acme`
ipx agent chat acme-bot/support # managed agents
ipx mcp council reason "…" --tier basic # Council of LLMs MCP
ipx model pull llama3.2 # local models (same engine as the desktop app)
ipx local chat llama3.2
ipx server start --allow teammate@acme.com --detach # host your models for others
ipx import space black-forest-labs/FLUX.1-schnell # add to the desktop app
ipx shield scan "Ignore previous instructions…" # AI Shield (docs: readthedocs, "AI Shield")
ipx usage get # quotas, wallet and org spend
Every command has --help, and every command accepts the global --json flag for scripting:
ipx --json usage get | jq .quota.
Command map
| Group | What it does |
|---|---|
ipx auth |
login, logout/signout, status/whoami, context <org>, token |
ipx org |
members, invitations, teams, API keys, billing, usage, audit, domains, SSO, policy, desktop policy |
ipx p2g |
credit-billed: chat, text, image, video, audio …, 3d, models, balance, ledger, keys, deploy |
ipx featherless |
models, status, list, get, deploy, cancel, restore, terminate, usage — personal deployments, or the organization's with an org context |
ipx agent |
list, registry, get, create, update, delete, chat, ask, profile, settings, invite …, members … |
ipx mcp council |
tiers, models, reason, tools, test, connect <client> — the hosted Council of LLMs MCP server |
ipx gen |
subscription-billed (Lightning): chat, text, image, video, audio …, models, plan |
ipx shield |
AI Shield detection and risk scoring: scan, analyze, phishing, url, check, disposable, request, file, password, listing, review, domain, tasks — see the AI Shield docs |
ipx model / ipx local |
manage local models / chat with them |
ipx server |
start, stop, status, logs — host your local models on port 52458 |
ipx import |
space, website, file, list, rm for the desktop app library |
ipx usage |
get, tiers |
ipx config, doctor, status, api, rewards, completion |
tools |
Full documentation lives with the desktop app docs: https://inferenceport-ai.readthedocs.io (CLI section, and AI Shield).
Develop
python -m venv .venv && . .venv/bin/activate # .venv\Scripts\activate on Windows
pip install -e ".[dev]"
pytest # mocked-API suite, no network or credentials needed
python packaging/build_binary.py # Nuitka → dist/ipx-<os>-<arch>
Layout: src/ipx (the CLI), packaging/npm (launcher + platform packages), packaging/cargo (Rust launcher that embeds
the release binary), .github/workflows (CI and the multi-platform release pipeline).
License
Apache-2.0 — © InferencePort LLC.
1 maintainer
Metadata
1 maintainer
Release files for inferenceport-cli 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| inferenceport_cli-1.0.1.tar.gz | 127.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| inferenceport_cli-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 250.1 kB
Release files / inferenceport_cli-1.0.1.tar.gz
| Download URL | inferenceport_cli-1.0.1.tar.gz |
|---|---|
| Size | 127.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a1ad4f35c006b57ef210b185430c45d7ddd0beaf3467c37b7af1ccf4afe5f36e
|
|
BLAKE2b-256 checksum How to use checksums |
2d6f9ebb114710d494e58eed0201004fa0a93803eee136c8eab9ea3830900f05
|
| 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 16, 2026.
Transparency logRelease files / inferenceport_cli-1.0.1-py3-none-any.whl
| Download URL | inferenceport_cli-1.0.1-py3-none-any.whl |
|---|---|
| Size | 122.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e7a271659a16b9ebae9424c4d411e2a493252efddc023ee481ddbb0baac6db22
|
|
BLAKE2b-256 checksum How to use checksums |
948bfb043aba160a051ea93ce2aacc20ce0c530069ddf650071a9f7efac05331
|
| 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 16, 2026.
Transparency log
