The VLM Run CLI provides a powerful command-line interface for interacting with the VLM Run platform directly from your terminal.

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Installation

The CLI is included when you install the VLM Run Python SDK: 
pip install vlmrun

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Configuration

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Global Options

Usage: vlmrun [OPTIONS] COMMAND [ARGS]...

  CLI for VLM Run (https://app.vlm.run)

Options:
  --base-url TEXT      Base URL for API requests [env var: VLMRUN_BASE_URL]
  --api-key TEXT       API Key for authentication [env var: VLMRUN_API_KEY]
  --debug              Enable debug logging
  -v, --version        Show version and exit
  --help               Show this message and exit

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Using Environment Variables

You can set your API key and other settings using environment variables: 
# Linux/macOS
export VLMRUN_API_KEY=your-api-key
export VLMRUN_BASE_URL=https://api.vlm.run/v1  # Optional

# Windows
set VLMRUN_API_KEY=your-api-key

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Command Groups

The CLI is organized into logical command groups:
CommandDescription
filesFile upload and management
modelsModel listing and information
generateGenerate predictions from files
hubDomain and schema management
datasetsDataset creation and management
fine-tuningModel fine-tuning operations
predictionsView and manage predictions

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Common Operations

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File Management

Upload a file to VLM Run: 
# Upload a single file
vlmrun files upload path/to/image.jpg

# Upload multiple files
vlmrun files upload file1.jpg file2.jpg file3.jpg

# List uploaded files
vlmrun files list

# Get file information
vlmrun files get FILE_ID

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Model Operations

# List available models
vlmrun models list

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Generating Predictions

Generate predictions from various file types: 
# Image prediction
vlmrun generate image path/to/image.jpg --domain document.invoice

# Document prediction
vlmrun generate document path/to/document.pdf --domain document.form

# Audio prediction
vlmrun generate audio path/to/audio.mp3 --domain audio.transcription

# Video prediction
vlmrun generate video path/to/video.mp4 --domain video.transcription

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Working with Domains

# List available domains
vlmrun hub list

# View schema for a domain
vlmrun hub schema document.invoice

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Managing Datasets

# Create a dataset from local files
vlmrun datasets create --directory ./images --domain document.invoice --name "Invoice Dataset" --type images

# List your datasets
vlmrun datasets list

# Get dataset details
vlmrun datasets get DATASET_ID

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Fine-tuning Models

# Create a fine-tuning job
vlmrun fine-tuning create --model base_model --training-file TRAINING_FILE_ID

# List fine-tuning jobs
vlmrun fine-tuning list

# Get fine-tuning job status
vlmrun fine-tuning get JOB_ID

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Advanced Usage

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JSON Output

Add the --json flag to get machine-readable JSON output: 
vlmrun files list --json > files.json

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Using Remote Files

Generate predictions from remote URLs: 
vlmrun generate image --url https://example.com/image.jpg --domain document.invoice

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Detailed Help

Get detailed help for any command: 
# General help
vlmrun --help

# Command-specific help
vlmrun generate --help
vlmrun generate image --help

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Command Reference

For each command, refer to the built-in help for detailed information: 
vlmrun <command> --help
vlmrun <command> <subcommand> --help