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POST
/
apps
/
annotation-reply
/
{action}
配置标注回复
curl --request POST \
  --url https://{api_base_url}/apps/annotation-reply/{action} \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "score_threshold": 0.9,
  "embedding_provider_name": "openai",
  "embedding_model_name": "text-embedding-3-small"
}
'
import requests

url = "https://{api_base_url}/apps/annotation-reply/{action}"

payload = {
    "score_threshold": 0.9,
    "embedding_provider_name": "openai",
    "embedding_model_name": "text-embedding-3-small"
}
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({
    score_threshold: 0.9,
    embedding_provider_name: 'openai',
    embedding_model_name: 'text-embedding-3-small'
  })
};

fetch('https://{api_base_url}/apps/annotation-reply/{action}', 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_base_url}/apps/annotation-reply/{action}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'score_threshold' => 0.9,
    'embedding_provider_name' => 'openai',
    'embedding_model_name' => 'text-embedding-3-small'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($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_base_url}/apps/annotation-reply/{action}"

	payload := strings.NewReader("{\n  \"score_threshold\": 0.9,\n  \"embedding_provider_name\": \"openai\",\n  \"embedding_model_name\": \"text-embedding-3-small\"\n}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	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.post("https://{api_base_url}/apps/annotation-reply/{action}")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"score_threshold\": 0.9,\n  \"embedding_provider_name\": \"openai\",\n  \"embedding_model_name\": \"text-embedding-3-small\"\n}")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://{api_base_url}/apps/annotation-reply/{action}")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"score_threshold\": 0.9,\n  \"embedding_provider_name\": \"openai\",\n  \"embedding_model_name\": \"text-embedding-3-small\"\n}"

response = http.request(request)
puts response.read_body
{
  "job_id": "a1b2c3d4-5678-90ab-cdef-1234567890ab",
  "job_status": "waiting"
}

Authorizations

​
Authorization
string
header
required

API Key 认证。对于所有 API 请求，请在 Authorization HTTP 头中包含您的 API Key，并加上 Bearer 前缀。示例：Authorization: Bearer {API_KEY}。强烈建议将 API Key 存储在服务端，不要在客户端共享或存储，以避免 API Key 泄漏导致严重后果。缺少或无效的 API Key 会返回 HTTP 401，错误码为 unauthorized。

Path Parameters

​
action
enum<string>
required

要执行的操作。

Available options:
enable,
disable

Body

application/json

配置标注回复设置的请求体。

​
embedding_provider_name
string
required

嵌入模型供应商名称（例如 openai、cohere）。

​
embedding_model_name
string
required

用于标注匹配的嵌入模型名称（例如 text-embedding-3-small）。

​
score_threshold
number<float>
required

标注被视为匹配的最低相似度分数。值越高，要求匹配越精确。

Response

200 - application/json

标注回复设置任务已启动。

​
job_id
string<uuid>

异步任务 ID。配合 查询标注回复配置任务状态 使用以跟踪进度。

​
job_status
string

当前任务状态，仅为 waiting（排队中）或 processing（处理中）；completed 和 error 仅由 查询标注回复配置任务状态 返回。

Last modified on July 9, 2026