Create evaluation run

curl --request POST \
  --url https://api.veri.studio/v1/evals/{eval_id}/runs \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "runner_type": "<string>",
  "runner_config": "<unknown>",
  "baseline_run_id": "<string>",
  "gates": [
    {
      "metric": "<string>",
      "higher_is_better": true,
      "minimum": 123,
      "maximum": 123,
      "max_regression": 123,
      "confidence": 123
    }
  ],
  "generation_params": {
    "max_tokens": 123,
    "temperature": 123,
    "top_p": 123,
    "stop": [
      "<string>"
    ],
    "seed": 123
  },
  "num_samples": 123,
  "seed": 123,
  "epochs": 123,
  "samples_per_item": 123,
  "sampling_policy": "<string>"
}
'

import requests

url = "https://api.veri.studio/v1/evals/{eval_id}/runs"

payload = {
    "model": "<string>",
    "runner_type": "<string>",
    "runner_config": "<unknown>",
    "baseline_run_id": "<string>",
    "gates": [
        {
            "metric": "<string>",
            "higher_is_better": True,
            "minimum": 123,
            "maximum": 123,
            "max_regression": 123,
            "confidence": 123
        }
    ],
    "generation_params": {
        "max_tokens": 123,
        "temperature": 123,
        "top_p": 123,
        "stop": ["<string>"],
        "seed": 123
    },
    "num_samples": 123,
    "seed": 123,
    "epochs": 123,
    "samples_per_item": 123,
    "sampling_policy": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: '<string>',
    runner_type: '<string>',
    runner_config: '<unknown>',
    baseline_run_id: '<string>',
    gates: [
      {
        metric: '<string>',
        higher_is_better: true,
        minimum: 123,
        maximum: 123,
        max_regression: 123,
        confidence: 123
      }
    ],
    generation_params: {max_tokens: 123, temperature: 123, top_p: 123, stop: ['<string>'], seed: 123},
    num_samples: 123,
    seed: 123,
    epochs: 123,
    samples_per_item: 123,
    sampling_policy: '<string>'
  })
};

fetch('https://api.veri.studio/v1/evals/{eval_id}/runs', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "object": "<string>",
  "id": "<string>",
  "eval_id": "<string>",
  "model": "<string>",
  "runner_type": "<string>",
  "epochs": 123,
  "samples_per_item": 123,
  "phase": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "generation_params": {
    "max_tokens": 123,
    "temperature": 123,
    "top_p": 123,
    "stop": [
      "<string>"
    ],
    "seed": 123
  },
  "num_samples": 123,
  "deployment_id": "<string>",
  "snapshot": "<unknown>",
  "runner_version": "<string>",
  "runner_image_digest": "<string>",
  "seed": 123,
  "sampling_policy": "<string>",
  "total_prompt_tokens": 123,
  "total_completion_tokens": 123,
  "total_cost_usd": 123,
  "usage": "<unknown>",
  "scoring_revision": 123,
  "external_task_arn": "<string>",
  "artifacts": "<unknown>",
  "baseline_run_id": "<string>",
  "gate_status": "<string>",
  "gate_results": "<unknown>",
  "total_items": 123,
  "processed_items": 123,
  "results": {
    "total_items": 123,
    "scores": {}
  },
  "error_message": "<string>",
  "started_at": "2023-11-07T05:31:56Z",
  "completed_at": "2023-11-07T05:31:56Z"
}