Vision (VLM / OCR)

# 1) discover an online vision-capable (VL) chat model — Grid's set
#    changes constantly, don't hardcode an id in your code.
MODEL=$(curl -s https://api.openalchemy.io/v1/models \
  -H "Authorization: Bearer $OPENALCHEMY_API_KEY" \
  | jq -r '.data[] | select(.online and .endpoint_type=="chat" and (.id | test("vl|vision"; "i"))) | .id' \
  | head -1)

# 2) ask about an image (https URL or data: URL)
curl https://api.openalchemy.io/v1/chat/completions \
  -H "Authorization: Bearer $OPENALCHEMY_API_KEY" \
  -H "X-Project-Id: $YOUR_PROJECT_ID" \
  -H "Content-Type: application/json" \
  -d "{
    \"model\": \"$MODEL\",
    \"messages\": [
      {\"role\": \"user\", \"content\": [
        {\"type\": \"text\", \"text\": \"What is in this image?\"},
        {\"type\": \"image_url\", \"image_url\": {\"url\": \"https://example.com/receipt.jpg\"}}
      ]}
    ]
  }"