curl https://rotastellar-cae.subhadip-mitra.workers.dev/v1/plan/a92f33e8-a349-494c-8b4e-f87d859b9ec5/events \
  -H "Origin: https://rotastellar.com"

import requests

plan_id = "a92f33e8-a349-494c-8b4e-f87d859b9ec5"
response = requests.get(
    f"https://rotastellar-cae.subhadip-mitra.workers.dev/v1/plan/{plan_id}/events",
    headers={"Origin": "https://rotastellar.com"}
)

data = response.json()
for event in data["events"]:
    print(f"[{event['type']}] {event.get('message', '')}")

{
  "plan_id": "a92f33e8-a349-494c-8b4e-f87d859b9ec5",
  "events": [
    {
      "type": "job.accepted",
      "timestamp_s": 0,
      "message": "Workload accepted: On-Board ML Inference"
    },
    {
      "type": "placement.decided",
      "timestamp_s": 0,
      "step_id": "capture",
      "location": "onboard",
      "message": "Step 'capture' placed on-board"
    },
    {
      "type": "step.started",
      "timestamp_s": 0,
      "step_id": "capture",
      "message": "Starting Sensor Data Capture"
    },
    {
      "type": "step.completed",
      "timestamp_s": 30,
      "step_id": "capture",
      "output_data_mb": 2000,
      "message": "Completed Sensor Data Capture"
    },
    {
      "type": "transfer.started",
      "timestamp_s": 170,
      "direction": "downlink",
      "data_mb": 11.03,
      "message": "Starting downlink transfer"
    },
    {
      "type": "job.completed",
      "timestamp_s": 1382,
      "message": "Pipeline completed successfully",
      "delivery_confidence": 0.997
    }
  ],
  "count": 73
}

{
  "error": {
    "code": "not_found",
    "message": "Plan a92f33e8-... not found or expired"
  }
}