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  "documentation": {
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    "sections": [
      {
        "title": "VLM Run CLI",
        "body": "Chat with VLM Run's Orion visual AI agent via CLI."
      },
      {
        "title": "Setup",
        "body": "uv venv && source .venv/bin/activate\nuv pip install \"vlmrun[cli]\""
      },
      {
        "title": "Environment Variables",
        "body": "You must load the following variables in your environment so that the CLI can use them. You may load the ./env file to your environment.\n\nVariableTypeDescriptionVLMRUN_API_KEYRequiredYour VLM Run API key (required)VLMRUN_BASE_URLOptionalBase URL (default: https://agent.vlm.run/v1)VLMRUN_CACHE_DIROptionalCache directory (default: ~/.vlmrun/cache/artifacts/)"
      },
      {
        "title": "Command",
        "body": "vlmrun chat \"<prompt>\" -i input.jpg [options]"
      },
      {
        "title": "Options",
        "body": "FlagDescription-p, --promptPrompt text, file path, or stdin-i, --inputInput file(s) - images, videos, docs (repeatable)-o, --outputArtifact directory (default: ~/.vlmrun/cache/artifacts/)-m, --modelvlmrun-orion-1:fast, vlmrun-orion-1:auto (default), vlmrun-orion-1:pro-s, --sessionOptional session ID to continue a previous session-j, --jsonRaw JSON output-ns, --no-streamDisable streaming-nd, --no-downloadSkip artifact download"
      },
      {
        "title": "Images",
        "body": "vlmrun chat \"Describe what you see in this image in detail\" -i photo.jpg\nvlmrun chat \"Detect and list all objects visible in this scene\" -i scene.jpg\nvlmrun chat \"Extract all text and numbers from this document image\" -i document.png\nvlmrun chat \"Compare these two images and describe the differences\" -i before.jpg -i after.jpg"
      },
      {
        "title": "Image Generation",
        "body": "vlmrun chat \"Generate a photorealistic image of a cozy cabin in a snowy forest at sunset\" -o ./generated\nvlmrun chat \"Remove the background from this product image and make it transparent\" -i product.jpg -o ./output"
      },
      {
        "title": "Video",
        "body": "vlmrun chat \"Summarize the key points discussed in this meeting video\" -i meeting.mp4\nvlmrun chat \"Find the top 3 highlight moments and create short clips from them\" -i sports.mp4\nvlmrun chat \"Transcribe this lecture with timestamps for each section\" -i lecture.mp4 --json"
      },
      {
        "title": "Video Generation",
        "body": "vlmrun chat \"Generate a 5-second video of ocean waves crashing on a rocky beach at golden hour\" -o ./videos\nvlmrun chat \"Create a smooth slow-motion video from this image\" -i ocean.jpg -o ./output"
      },
      {
        "title": "Documents",
        "body": "vlmrun chat \"Extract the vendor name, line items, and total amount\" -i invoice.pdf --json\nvlmrun chat \"Summarize the key terms and obligations in this contract\" -i contract.pdf"
      },
      {
        "title": "Prompt Sources",
        "body": "# Direct prompt\nvlmrun chat \"What objects and people are visible in this image?\" -i photo.jpg\n\n# Prompt from file\nvlmrun chat -p long_prompt.txt -i photo.jpg\n\n# Prompt from stdin\necho \"Describe this image in detail\" | vlmrun chat - -i photo.jpg"
      },
      {
        "title": "Continuing a previous session",
        "body": "If you want to keep the past conversation and generated artifacts in context, you can use the -s flag to continue a previous session using the session ID generated when you started the session.\n\n# Start a new session of an image generation task where a new character is generated\nvlmrun chat \"Create an iconic scene of a ninja in a forest, practicing his skills with a katana?\" -i photo.jpg\n\n# Use the previous chat session in context to retain the same character and scene context (where the session ID is <session_id>)\nvlmrun chat \"Create a new scene with the same character meditating under a tree\" -i photo.jpg -s <session_id>"
      },
      {
        "title": "Skipping artifact download",
        "body": "If you want to skip the artifact download, you can use the -nd flag.\n\nvlmrun chat \"What objects and people are visible in this image?\" -i photo.jpg -nd"
      },
      {
        "title": "Notes",
        "body": "Use -o ./<directory> to save generated artifacts (images, videos) relative to your current working directory\nWithout -o, artifacts save to ~/.vlmrun/cache/artifacts/<session_id>/\nMultiple input files upload concurrently"
      }
    ],
    "body": "VLM Run CLI\n\nChat with VLM Run's Orion visual AI agent via CLI.\n\nSetup\nuv venv && source .venv/bin/activate\nuv pip install \"vlmrun[cli]\"\n\nEnvironment Variables\n\nYou must load the following variables in your environment so that the CLI can use them. You may load the ./env file to your environment.\n\nVariable\tType\tDescription\nVLMRUN_API_KEY\tRequired\tYour VLM Run API key (required)\nVLMRUN_BASE_URL\tOptional\tBase URL (default: https://agent.vlm.run/v1)\nVLMRUN_CACHE_DIR\tOptional\tCache directory (default: ~/.vlmrun/cache/artifacts/)\nCommand\nvlmrun chat \"<prompt>\" -i input.jpg [options]\n\nOptions\nFlag\tDescription\n-p, --prompt\tPrompt text, file path, or stdin\n-i, --input\tInput file(s) - images, videos, docs (repeatable)\n-o, --output\tArtifact directory (default: ~/.vlmrun/cache/artifacts/)\n-m, --model\tvlmrun-orion-1:fast, vlmrun-orion-1:auto (default), vlmrun-orion-1:pro\n-s, --session\tOptional session ID to continue a previous session\n-j, --json\tRaw JSON output\n-ns, --no-stream\tDisable streaming\n-nd, --no-download\tSkip artifact download\nExamples\nImages\nvlmrun chat \"Describe what you see in this image in detail\" -i photo.jpg\nvlmrun chat \"Detect and list all objects visible in this scene\" -i scene.jpg\nvlmrun chat \"Extract all text and numbers from this document image\" -i document.png\nvlmrun chat \"Compare these two images and describe the differences\" -i before.jpg -i after.jpg\n\nImage Generation\nvlmrun chat \"Generate a photorealistic image of a cozy cabin in a snowy forest at sunset\" -o ./generated\nvlmrun chat \"Remove the background from this product image and make it transparent\" -i product.jpg -o ./output\n\nVideo\nvlmrun chat \"Summarize the key points discussed in this meeting video\" -i meeting.mp4\nvlmrun chat \"Find the top 3 highlight moments and create short clips from them\" -i sports.mp4\nvlmrun chat \"Transcribe this lecture with timestamps for each section\" -i lecture.mp4 --json\n\nVideo Generation\nvlmrun chat \"Generate a 5-second video of ocean waves crashing on a rocky beach at golden hour\" -o ./videos\nvlmrun chat \"Create a smooth slow-motion video from this image\" -i ocean.jpg -o ./output\n\nDocuments\nvlmrun chat \"Extract the vendor name, line items, and total amount\" -i invoice.pdf --json\nvlmrun chat \"Summarize the key terms and obligations in this contract\" -i contract.pdf\n\nPrompt Sources\n# Direct prompt\nvlmrun chat \"What objects and people are visible in this image?\" -i photo.jpg\n\n# Prompt from file\nvlmrun chat -p long_prompt.txt -i photo.jpg\n\n# Prompt from stdin\necho \"Describe this image in detail\" | vlmrun chat - -i photo.jpg\n\nContinuing a previous session\n\nIf you want to keep the past conversation and generated artifacts in context, you can use the -s flag to continue a previous session using the session ID generated when you started the session.\n\n# Start a new session of an image generation task where a new character is generated\nvlmrun chat \"Create an iconic scene of a ninja in a forest, practicing his skills with a katana?\" -i photo.jpg\n\n# Use the previous chat session in context to retain the same character and scene context (where the session ID is <session_id>)\nvlmrun chat \"Create a new scene with the same character meditating under a tree\" -i photo.jpg -s <session_id>\n\nSkipping artifact download\n\nIf you want to skip the artifact download, you can use the -nd flag.\n\nvlmrun chat \"What objects and people are visible in this image?\" -i photo.jpg -nd\n\nNotes\nUse -o ./<directory> to save generated artifacts (images, videos) relative to your current working directory\nWithout -o, artifacts save to ~/.vlmrun/cache/artifacts/<session_id>/\nMultiple input files upload concurrently"
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    "version": "0.1.1",
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