API overview

POST /v1/uploads      →  presigned R2 PUT, returns an r2://<key> ref
POST /v1/quantize     →  202 { "job_id": "..." }
GET  /v1/jobs/{id}     →  status + progress + result
GET  /v1/jobs/{id}/artifacts  →  presigned download URLs

# 1. Get a presigned upload grant, then PUT the file to the returned URL
curl -X POST https://platform.r3al.ai/v1/uploads \
  -H "Authorization: Bearer r3l_live_..." \
  -H "Content-Type: application/json" \
  -d '{"filename": "model.onnx", "content_type": "application/octet-stream", "size_bytes": 10485760}'
# { "upload_url": "https://...", "object_key": "uploads/..." }

# 2. Submit the job with the r2:// reference.
#    ptq_static is the default; upload calibration images the same way as the model.
curl -X POST https://platform.r3al.ai/v1/quantize \
  -H "Authorization: Bearer r3l_live_..." \
  -H "Content-Type: application/json" \
  -d '{"model": "r2://uploads/...", "method": "ptq_static", "calibration_data": ["r2://uploads/img1.jpg"]}'
# 202 { "job_id": "job_...", "status": "pending" }