infsh-cli

The saved excerpt is a snapshot from when this skill was listed. The external source remains the complete and most current version.

---
name: infsh-cli
description: "Run AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok"
allowed-tools: Bash(belt *)
---

> **Install the belt CLI skill:** `npx skills add belt-sh/cli`

# [inference.sh](https://inference.sh)

Run AI apps in the cloud with a simple CLI. No GPU required.

![[inference.sh](https://inference.sh)](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kgjw8atdxgkrsr8a2t5peq7b.jpeg)

## Install CLI

```bash
curl -fsSL https://cli.inference.sh | sh
belt login
```

Agents / non-interactive shells: `belt login --key <api-key>`, or set `INFSH_API_KEY` (read on every command, no login needed).
Without a TTY, `belt login` prints a URL; the browser then shows a claim code. Run `belt login --code <code>` on the same machine within 5 minutes.

> **What does the installer do?** The [install script](https://cli.inference.sh) detects your OS and architecture, downloads the correct binary from `dist.inference.sh`, verifies its SHA-256 checksum, and places it in your PATH. That's it — no elevated permissions, no background processes, no telemetry. If you have [cosign](https://docs.sigstore.dev/cosign/system_config/installation/) installed, the installer also verifies the Sigstore signature automatically.
>
> **Manual install** (if you prefer not to pipe to sh):
> ```bash
> # Download the binary and checksums
> curl -LO https://dist.inference.sh/cli/checksums.txt
> curl -LO $(curl -fsSL https://dist.inference.sh/cli/manifest.json | grep -o '"url":"[^"]*"' | grep $(uname -s | tr A-Z a-z)-$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/') | head -1 | cut -d'"' -f4)
> # Verify checksum
> sha256sum -c checksums.txt --ignore-missing
> # Extract and install
> tar -xzf inferencesh-cli-*.tar.gz
> mv inferencesh-cli-* ~/.local/bin/inferencesh
> ```

## Quick Examples

```bash
# Generate an image
belt app run falai/flux-dev-lora --input '{"prompt": "a cat astronaut"}'

# Generate a video
belt app run google/veo-3-1-fast --input '{"prompt": "drone over mountains"}'

# Call Claude
belt app run openrouter/claude-sonnet-45 --input '{"prompt": "Explain quantum computing"}'

# Web search
belt app run tavily/search-assistant --input '{"query": "latest AI news"}'

# Post to Twitter
belt app run x/post-create --input '{"text": "Hello from AI!"}'

# Generate 3D model
belt app run infsh/rodin-3d-generator --input '{"prompt": "a wooden chair"}'
```

## Local File Uploads

The CLI automatically uploads local files when you provide a path instead of a URL:

```bash
# Upscale a local image
belt app run falai/topaz-image-upscaler --input '{"image": "/path/to/photo.jpg", "upscale_factor": 2}'

# Image-to-video from local file
belt app run falai/wan-2-5-i2v --input '{"image": "./my-image.png", "prompt": "make it move"}'

# Avatar with local audio and image
belt app run bytedance/omnihuman-1-5 --input '{"audio": "/path/to/speech.mp3", "image": "/path/to/face.jpg"}'

# Post tweet with local media
belt app run x/post-create --input '{"text": "Check this out!", "media": ["./screenshot.png"]}'
```

## Commands

| Task | Command |
|------|---------|
| Browse the app store | `belt app list` |
| Search the store | `belt app search "flux"` |
| Filter by category | `belt app list --category image` |
| List your apps | `belt app list` |
| Get app details | `belt app get google/veo-3-1-fast` |
| Generate sample input | `belt app sample google/veo-3-1-fast --save input.json` |
| Run app | `belt app run google/veo-3-1-fast --input input.json` |
| Run without waiting | `belt app run <app> --input input.json --no-