curl "$ATAI_API_URL/agents/optimizations/opt_01jcb1m3t7v5xq8nr2h6kdzs4w/trials?limit=20" \
  -H "Authorization: Bearer $ATAI_API_KEY"

curl "$ATAI_API_URL/agents/optimizations/opt_01jcb1m3t7v5xq8nr2h6kdzs4w/trials?status=completed" \
  -H "Authorization: Bearer $ATAI_API_KEY"

import os
import requests

base_url = os.environ["ATAI_API_URL"]
api_key = os.environ["ATAI_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}"}

optimization_id = "opt_01jcb1m3t7v5xq8nr2h6kdzs4w"

cursor = None
while True:
    params = {"limit": 100, "status": "completed"}
    if cursor:
        params["after"] = cursor

    response = requests.get(
        f"{base_url}/agents/optimizations/{optimization_id}/trials",
        headers=headers,
        params=params,
    )
    page = response.json()

    for trial in page["data"]:
        mark = "" if trial["feasible"] else "  (infeasible)"
        print(f"#{trial['trial_number']:>3} {trial['objective_value']} {trial['trial_values']}{mark}")

    if not page["has_more"]:
        break
    cursor = page["next_cursor"]

const params = new URLSearchParams({ limit: '20', status: 'completed' });

const response = await fetch(
  `${process.env.ATAI_API_URL}/agents/optimizations/opt_01jcb1m3t7v5xq8nr2h6kdzs4w/trials?${params}`,
  {
    headers: {
      'Authorization': `Bearer ${process.env.ATAI_API_KEY}`
    }
  }
);

const page = await response.json();

page.data.forEach(trial => {
  const mark = trial.feasible ? '' : '  (infeasible)';
  console.log(`#${trial.trial_number} ${trial.objective_value} ${JSON.stringify(trial.trial_values)}${mark}`);
});

{
  "data": [
    {
      "id": "otr_01jcb2v9h4x7mq3nt8k5rdzy6w",
      "optimization_id": "opt_01jcb1m3t7v5xq8nr2h6kdzs4w",
      "trial_number": 24,
      "trial_values": {"window_size": 1024, "n_neighbors": 11},
      "status": "completed",
      "objective_value": 0.89,
      "feasible": true,
      "metrics_report": {
        "schema_version": "v1",
        "primary": {"target": "state", "name": "macro_f1", "value": 0.89},
        "targets": {
          "state": {
            "type": "category",
            "aggregate": {"macro_f1": 0.89, "accuracy": 0.93},
            "class_names": ["running", "idle", "fault_bearing"],
            "per_class": {
              "precision": [0.94, 0.9, 0.79],
              "recall": [0.97, 0.87, 0.82],
              "f1": [0.95, 0.88, 0.8],
              "support": [4120, 1880, 260]
            },
            "confusion_matrix": [
              [3996, 106, 18],
              [199, 1636, 45],
              [31, 16, 213]
            ]
          }
        }
      },
      "created_at": "2026-09-18T13:38:12Z",
      "started_at": "2026-09-18T13:38:20Z",
      "completed_at": "2026-09-18T13:47:01Z",
      "error": null
    },
    {
      "id": "otr_01jcb2t4k9r2wq6nv8h3mdzx5p",
      "optimization_id": "opt_01jcb1m3t7v5xq8nr2h6kdzs4w",
      "trial_number": 23,
      "trial_values": {"window_size": 512, "n_neighbors": 4},
      "status": "completed",
      "objective_value": 0.84,
      "feasible": false,
      "metrics_report": null,
      "created_at": "2026-09-18T13:29:44Z",
      "started_at": "2026-09-18T13:29:51Z",
      "completed_at": "2026-09-18T13:37:58Z",
      "error": null
    }
  ],
  "has_more": true,
  "next_cursor": "<cursor>",
  "prev_cursor": null
}

{
  "errors": [
    {
      "code": "<error_code>",
      "message": "Invalid query parameter.",
      "suggestion": null,
      "error_uid": "err-xxxxxxxx"
    }
  ]
}

{
  "errors": [
    {
      "code": "<error_code>",
      "message": "Optimization not found.",
      "suggestion": null,
      "error_uid": "err-xxxxxxxx"
    }
  ]
}