curl -X POST https://rotastellar-cae.subhadip-mitra.workers.dev/v1/plan \
  -H "Content-Type: application/json" \
  -H "Origin: https://rotastellar.com" \
  -d '{
    "satellite_id": "25544",
    "preset_id": "onboard-ml-inference"
  }'

curl -X POST https://rotastellar-cae.subhadip-mitra.workers.dev/v1/plan \
  -H "Content-Type: application/json" \
  -H "Origin: https://rotastellar.com" \
  -d '{
    "satellite_id": "25544",
    "custom_job": {
      "name": "Capture and Process",
      "steps": [
        {
          "id": "capture",
          "name": "Sensor Capture",
          "location": "onboard",
          "duration_s": 30,
          "depends_on": [],
          "requires": {"power_w": 40, "compute": 0.3, "thermal_w": 15, "memory_mb": 256, "storage_mb": 1024},
          "input_data_mb": 0,
          "output_data_mb": 500
        },
        {
          "id": "process",
          "name": "Ground Processing",
          "location": "ground",
          "duration_s": 60,
          "depends_on": ["capture"],
          "requires": {"power_w": 100, "compute": 1.0, "thermal_w": 50, "memory_mb": 2048, "storage_mb": 2048},
          "input_data_mb": 500,
          "output_data_mb": 50,
          "data_reduction_ratio": 0.1
        }
      ]
    }
  }'

import requests

response = requests.post(
    "https://rotastellar-cae.subhadip-mitra.workers.dev/v1/plan",
    headers={
        "Content-Type": "application/json",
        "Origin": "https://rotastellar.com"
    },
    json={
        "satellite_id": "25544",
        "preset_id": "onboard-ml-inference"
    }
)

plan = response.json()
print(f"Plan {plan['id']}: {plan['plan']['windows_used']} windows, "
      f"confidence {plan['error_budget']['delivery_confidence']}")

{
  "id": "a92f33e8-a349-494c-8b4e-f87d859b9ec5",
  "created_at": "2026-03-05T06:55:37.811Z",
  "version": "1.0.0",
  "satellite": {
    "id": "25544",
    "name": "ISS (ZARYA)",
    "norad_id": 25544,
    "altitude_km": 417,
    "inclination_deg": 51.6,
    "period_min": 93,
    "tle_epoch": "26063.86671769"
  },
  "preset": {
    "id": "onboard-ml-inference",
    "name": "On-Board ML Inference",
    "category": "ml-inference",
    "steps": 4
  },
  "orbital_environment": {
    "prediction_start": "2026-03-05T06:55:37.811Z",
    "prediction_hours": 12,
    "eclipse_fraction": 0.348,
    "bus": { "..." : "..." },
    "windows": [ "..." ],
    "ground_passes": [ "..." ],
    "summary": {
      "total_windows": 14,
      "comms_windows": 6,
      "sunlit_windows": 9,
      "eclipse_windows": 5,
      "total_pass_time_s": 2847,
      "ground_stations_visible": 8
    }
  },
  "placement_decisions": [
    { "step_id": "capture", "location": "onboard", "reason": "preset_defined" },
    { "step_id": "preprocess", "location": "onboard", "reason": "preset_defined" },
    { "step_id": "inference", "location": "onboard", "reason": "preset_defined" },
    { "step_id": "encrypt_results", "location": "onboard", "reason": "preset_defined" }
  ],
  "transfer_schedule": {
    "transfers": [ "..." ],
    "total_transfers": 1,
    "total_downlink_mb": 11.03,
    "total_uplink_mb": 0,
    "passes_used": 1,
    "total_transfer_time_s": 12
  },
  "error_budget": {
    "worst_case_ber": 0.00001,
    "total_fec_overhead_mb": 0.53,
    "total_retransmission_reserve_mb": 0.11,
    "delivery_confidence": 0.997
  },
  "security_summary": {
    "encryption": "aes256",
    "total_encryption_overhead_mb": 0.53,
    "total_key_exchanges": 1,
    "data_classification": "restricted"
  },
  "plan": {
    "segments": [ "..." ],
    "total_duration_s": 1382,
    "total_compute_s": 170,
    "total_transfer_s": 12,
    "total_ground_s": 0,
    "windows_used": 2,
    "policy": {
      "objective": "min_latency",
      "deadline_orbits": 3
    }
  },
  "events": [ "..." ]
}

{
  "error": {
    "code": "validation_error",
    "message": "satellite_id is required"
  }
}

{
  "error": {
    "code": "planning_failed",
    "message": "No feasible window for step 'inference': thermal constraint exceeded"
  }
}