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Microsoft Foundry image generation

by @jacqueskang

Azure Foundry image generation skill for OpenClaw; generates images via a Foundry deployment and returns image bytes or URLs.

Versionv1.0.6
Downloads1,159
Stars⭐ 2
TERMINAL
clawhub install ms-foundry-image-gen

πŸ“– About This Skill


name: ms-foundry-image-gen description: Azure Foundry image generation skill for OpenClaw; generates images via a Foundry deployment and returns image bytes or URLs. homepage: https://github.com/jacqueskang/openclaw-skill-azure-image-gen metadata: {"clawdbot":{"emoji":"πŸ–ΌοΈ","requires":{"bins":["curl","jq","base64"],"env":["FOUNDRY_API_KEY","FOUNDRY_ENDPOINT","FOUNDRY_DEPLOYMENT"]},"primaryEnv":"FOUNDRY_API_KEY"}}

Azure Foundry Image Generation

AI image generation using an Azure Foundry (Cognitive Services / OpenAI) images deployment. Returns raw image bytes (PNG/JPEG) or a URL depending on the deployment response.

Overview --------

  • Requires network access to your Foundry endpoint and a valid API key.
  • Usage ----- Set environment variables (example):

    export FOUNDRY_ENDPOINT="https://aif-sbxe2e-ai-agent-02.cognitiveservices.azure.com/"
    export FOUNDRY_API_KEY=""
    export FOUNDRY_DEPLOYMENT="FLUX-1.1-pro"
    export FOUNDRY_API_VERSION="2025-04-01-preview"
    

    Generate an image (safe example using jq to build JSON):

    # Basic validation (reject obviously malformed endpoints)
    if ! printf '%s' "${FOUNDRY_ENDPOINT:-}" | grep -Eq '^https?://[A-Za-z0-9._:-]+/?$'; then
      echo "FOUNDRY_ENDPOINT looks unsafe or is not set" >&2
      exit 1
    fi

    url="${FOUNDRY_ENDPOINT%/}/openai/deployments/${FOUNDRY_DEPLOYMENT}/images/generations?api-version=${FOUNDRY_API_VERSION:-2025-04-01-preview}"

    PROMPT="a red fox" jq -n --arg prompt "$PROMPT" '{prompt:$prompt, n:1, size:"1024x1024", output_format:"png"}' | \ curl --fail --show-error --silent \ --url "$url" \ -H 'Content-Type: application/json' \ -H "api-key: ${FOUNDRY_API_KEY}" \ --data-binary @- -o /tmp/generation_result.json

    Stream base64 payload to avoid storing large values in shell variables

    jq -r '.data[0].b64_json' /tmp/generation_result.json | base64 --decode > /tmp/generated_image.png echo "Image saved to: /tmp/generated_image.png"

    Options -------

  • FOUNDRY_ENDPOINT (required): Azure base URI for Foundry (include scheme, e.g. https://.cognitiveservices.azure.com/)
  • FOUNDRY_API_KEY (required): API key (primary credential)
  • FOUNDRY_DEPLOYMENT (required): Deployment name to call
  • FOUNDRY_API_VERSION (optional): API version (default: 2025-04-01-preview)
  • Notes -----

  • The skill manifest (src/manifest.json) declares the required environment variables and marks FOUNDRY_API_KEY as the primary credential.
  • This document provides a safe example using jq --arg and streaming to prevent shell interpolation and command-injection risks.
  • Troubleshooting ---------------

  • If you see authentication errors, verify FOUNDRY_API_KEY permissions for the deployment.
  • If jq or base64 are missing, install them via your package manager (e.g., apt install jq coreutils on Debian/Ubuntu).
  • License / Attribution --------------------- This skill is a minimal wrapper around the Foundry images generation REST endpoint for use in OpenClaw workflows.