curl --request GET \
  --url https://api.trajectory.ai/api/v1/trajectories/{trajectory_id} \
  --header 'X-API-Key: <api-key>'

import requests

url = "https://api.trajectory.ai/api/v1/trajectories/{trajectory_id}"

headers = {"X-API-Key": "<api-key>"}

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

print(response.text)

const options = {method: 'GET', headers: {'X-API-Key': '<api-key>'}};

fetch('https://api.trajectory.ai/api/v1/trajectories/{trajectory_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://api.trajectory.ai/api/v1/trajectories/{trajectory_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 => [
    "X-API-Key: <api-key>"
  ],
]);

$response = curl_exec($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://api.trajectory.ai/api/v1/trajectories/{trajectory_id}"

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

	req.Header.Add("X-API-Key", "<api-key>")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api.trajectory.ai/api/v1/trajectories/{trajectory_id}")
  .header("X-API-Key", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.trajectory.ai/api/v1/trajectories/{trajectory_id}")

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

request = Net::HTTP::Get.new(url)
request["X-API-Key"] = '<api-key>'

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

{
  "trajectory_id": "<string>",
  "organization_id": "<string>",
  "source": "<string>",
  "created_at": "<string>",
  "dataset_id": "<string>",
  "dataset_name": "<string>",
  "dataset_source": "<string>",
  "dataset_gcs_prefix": "<string>",
  "trace_id": "<string>",
  "model_id": "<string>",
  "model_association_source": "<string>",
  "model_association_metadata": {},
  "status": "<string>",
  "termination_reason": "<string>",
  "termination_subreason": {
    "reason": "<string>",
    "scope": "<string>"
  },
  "reward": 123,
  "num_steps": 123,
  "training_run_id": "<string>",
  "task_id": "<string>",
  "policy_step": 123,
  "rollout": {
    "rollout_id": "<string>",
    "status": "<string>",
    "termination_reason": "<string>",
    "harness_diagnostic": {
      "category": "timeout",
      "exception_chain": [],
      "locations": [],
      "preceding_tracebacks": [],
      "exit_code": 123,
      "exception_messages": []
    }
  },
  "gcs_blob_uri": "<string>",
  "error": "<string>",
  "steps": [
    {
      "step_index": 123,
      "reward": 123,
      "has_error": false,
      "messages": [
        {
          "message_id": 123,
          "role": "<string>",
          "content": "<string>",
          "tool_calls": "<string>",
          "tool_response": "<string>",
          "reasoning": "<string>",
          "finish_reason": "<string>",
          "prompt_tokens": 123,
          "completion_tokens": 123
        }
      ]
    }
  ],
  "reward_components": [
    {
      "name": "<string>",
      "value": 123,
      "scaled_value": 123,
      "weight": 123,
      "score_range_min": 123,
      "score_range_max": 123,
      "explanation": "<string>"
    }
  ]
}

{
  "error": {
    "type": "invalid_request_error",
    "code": "trajectory_too_large",
    "message": "<string>",
    "doc_url": "<string>",
    "context": {
      "response_bytes": 123,
      "limit_bytes": 123
    },
    "param": "<string>"
  }
}

{
  "error": {
    "type": "invalid_request_error",
    "code": "<string>",
    "message": "<string>",
    "doc_url": "<string>",
    "context": {},
    "param": "<string>"
  }
}