curl --request PATCH \
  --url https://api.trajectory.ai/api/v1/agents/{agent_id}/traces/{trajectory_id} \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: <api-key>' \
  --data '
{
  "feedback_score": 123,
  "feedback_text": "<string>"
}
'

import requests

url = "https://api.trajectory.ai/api/v1/agents/{agent_id}/traces/{trajectory_id}"

payload = {
    "feedback_score": 123,
    "feedback_text": "<string>"
}
headers = {
    "X-API-Key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'PATCH',
  headers: {'X-API-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({feedback_score: 123, feedback_text: '<string>'})
};

fetch('https://api.trajectory.ai/api/v1/agents/{agent_id}/traces/{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/agents/{agent_id}/traces/{trajectory_id}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PATCH",
  CURLOPT_POSTFIELDS => json_encode([
    'feedback_score' => 123,
    'feedback_text' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "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"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.trajectory.ai/api/v1/agents/{agent_id}/traces/{trajectory_id}"

	payload := strings.NewReader("{\n  \"feedback_score\": 123,\n  \"feedback_text\": \"<string>\"\n}")

	req, _ := http.NewRequest("PATCH", url, payload)

	req.Header.Add("X-API-Key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.patch("https://api.trajectory.ai/api/v1/agents/{agent_id}/traces/{trajectory_id}")
  .header("X-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"feedback_score\": 123,\n  \"feedback_text\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

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

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

request = Net::HTTP::Patch.new(url)
request["X-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"feedback_score\": 123,\n  \"feedback_text\": \"<string>\"\n}"

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

{
  "agent_id": "<string>",
  "trajectory": {
    "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": []
      }
    }
  },
  "attached_at": "<string>",
  "updated_at": "<string>",
  "task_preview": "<string>",
  "feedback_score": 123,
  "feedback_text": "<string>",
  "reviewer_email": "<string>"
}

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

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

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