curl --request GET \
  --url https://openrouter.ai/api/v1/batches/{id} \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://openrouter.ai/api/v1/batches/{id}"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://openrouter.ai/api/v1/batches/{id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://openrouter.ai/api/v1/batches/{id}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://openrouter.ai/api/v1/batches/{id}"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://openrouter.ai/api/v1/batches/{id}")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://openrouter.ai/api/v1/batches/{id}")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

response = http.request(request)
puts response.read_body

{
  "completion_window": "24h",
  "created_at": 123,
  "endpoint": "<string>",
  "error": {
    "message": "<string>"
  },
  "finalized_at": 123,
  "id": "<string>",
  "model": "<string>",
  "object": "batch",
  "request_counts": {
    "completed": 123,
    "failed": 123,
    "total": 123
  },
  "results": [
    {
      "custom_id": "<string>",
      "error": {
        "message": "<string>",
        "param": "<string>",
        "type": "<string>",
        "error_type": "rate_limit_exceeded"
      },
      "id": "<string>",
      "response": {
        "body": {
          "choices": [
            {
              "finish_reason": "stop",
              "index": 123,
              "logprobs": {
                "content": [
                  {
                    "bytes": [
                      123
                    ],
                    "logprob": 123,
                    "token": "<string>",
                    "top_logprobs": [
                      {
                        "bytes": [
                          123
                        ],
                        "logprob": 123,
                        "token": "<string>"
                      }
                    ]
                  }
                ],
                "refusal": null
              },
              "message": {
                "content": "<string>",
                "refusal": "<string>",
                "role": "assistant",
                "annotations": [
                  {
                    "file": {
                      "content": [
                        {
                          "text": "<string>",
                          "type": "text"
                        }
                      ],
                      "hash": "<string>",
                      "name": "<string>"
                    },
                    "type": "file"
                  }
                ],
                "images": [
                  {
                    "image_url": {
                      "url": "<string>"
                    },
                    "type": "image_url"
                  }
                ],
                "reasoning": "<string>",
                "reasoning_details": [
                  {
                    "summary": "The model analyzed the problem by first identifying key constraints, then evaluating possible solutions...",
                    "type": "reasoning.summary"
                  }
                ],
                "tool_calls": [
                  {
                    "function": {
                      "arguments": "<string>",
                      "name": "<string>"
                    },
                    "id": "<string>",
                    "index": 123,
                    "type": "function"
                  }
                ]
              },
              "native_finish_reason": "<string>"
            }
          ],
          "created": 123,
          "id": "<string>",
          "model": "<string>",
          "object": "chat.completion",
          "debug": {
            "echo_upstream_body": {},
            "timings": {
              "epoch_ms": 123,
              "event": "adapter_request",
              "start_ms": 123
            }
          },
          "openrouter_metadata": {
            "attempt": 1,
            "endpoints": {
              "available": [
                {
                  "model": "openai/gpt-4o",
                  "provider": "OpenAI",
                  "selected": true
                }
              ],
              "total": 1
            },
            "generation_time": 2016,
            "is_byok": false,
            "region": "iad",
            "requested": "openai/gpt-4o",
            "strategy": "direct",
            "summary": "available=1, selected=OpenAI"
          },
          "provider": "<string>",
          "service_tier": "<string>",
          "system_fingerprint": "<string>",
          "usage": {
            "completion_tokens": 123,
            "prompt_tokens": 123,
            "total_tokens": 123,
            "completion_tokens_details": {
              "audio_tokens": 123,
              "image_tokens": 123,
              "reasoning_tokens": 123
            },
            "prompt_tokens_details": {
              "audio_tokens": 123,
              "cache_write_tokens": 123,
              "cached_tokens": 123,
              "file_tokens": 123,
              "video_tokens": 123
            },
            "server_tool_use": {
              "tool_calls_executed": 123,
              "tool_calls_requested": 123,
              "web_search_requests": 123
            },
            "server_tool_use_details": {
              "tool_calls_executed": 123,
              "tool_calls_requested": 123,
              "web_search_requests": 123
            }
          }
        },
        "request_id": "<string>",
        "status_code": 123
      }
    }
  ],
  "status": "validating",
  "usage": {
    "completion_tokens": 123,
    "prompt_tokens": 123,
    "total_tokens": 123,
    "cache_creation": {
      "ephemeral_1h_input_tokens": 0,
      "ephemeral_5m_input_tokens": 100
    },
    "completion_tokens_details": {
      "audio_tokens": 123,
      "image_tokens": 123,
      "reasoning_tokens": 123
    },
    "cost": 123,
    "cost_details": {
      "upstream_inference_completions_cost": 0.0004,
      "upstream_inference_cost": null,
      "upstream_inference_prompt_cost": 0.0008
    },
    "is_byok": true,
    "iterations": [
      {
        "cache_creation": null,
        "cache_creation_input_tokens": 0,
        "cache_read_input_tokens": 0,
        "input_tokens": 100,
        "output_tokens": 50,
        "type": "message"
      }
    ],
    "prompt_tokens_details": {
      "audio_tokens": 123,
      "cache_write_tokens": 123,
      "cached_tokens": 123,
      "file_tokens": 123,
      "video_tokens": 123
    },
    "server_tool_use": {
      "tool_calls_executed": 123,
      "tool_calls_requested": 123,
      "web_search_requests": 123
    },
    "service_tier": "<string>",
    "speed": "standard"
  }
}

{
  "error": {
    "code": 401,
    "message": "No auth credentials found."
  }
}

{
  "completion_window": "24h",
  "created_at": 123,
  "endpoint": "<string>",
  "error": {
    "code": 123,
    "message": "<string>"
  },
  "finalized_at": 123,
  "id": "<string>",
  "model": "<string>",
  "object": "batch",
  "request_counts": {
    "completed": 123,
    "failed": 123,
    "total": 123
  },
  "results": null,
  "status": "validating",
  "usage": {
    "completion_tokens": 123,
    "prompt_tokens": 123,
    "total_tokens": 123,
    "cache_creation": {
      "ephemeral_1h_input_tokens": 0,
      "ephemeral_5m_input_tokens": 100
    },
    "completion_tokens_details": {
      "audio_tokens": 123,
      "image_tokens": 123,
      "reasoning_tokens": 123
    },
    "cost": 123,
    "cost_details": {
      "upstream_inference_completions_cost": 0.0004,
      "upstream_inference_cost": null,
      "upstream_inference_prompt_cost": 0.0008
    },
    "is_byok": true,
    "iterations": [
      {
        "cache_creation": null,
        "cache_creation_input_tokens": 0,
        "cache_read_input_tokens": 0,
        "input_tokens": 100,
        "output_tokens": 50,
        "type": "message"
      }
    ],
    "prompt_tokens_details": {
      "audio_tokens": 123,
      "cache_write_tokens": 123,
      "cached_tokens": 123,
      "file_tokens": 123,
      "video_tokens": 123
    },
    "server_tool_use": {
      "tool_calls_executed": 123,
      "tool_calls_requested": 123,
      "web_search_requests": 123
    },
    "service_tier": "<string>",
    "speed": "standard"
  }
}

{
  "error": {
    "code": 404,
    "message": "Batch not found."
  }
}

{
  "error": {
    "code": 429,
    "message": "Rate limit exceeded."
  }
}

{
  "error": {
    "code": 500,
    "message": "Internal server error."
  }
}

{
  "error": {
    "code": 502,
    "message": "Upstream batch-api is unavailable."
  }
}