标注管理
配置标注回复
适用于：Chatflow、聊天助手、Agent。
启用或禁用标注回复功能。请求体在执行操作前校验，因此无论 enable 还是 disable 都必须提供 embedding_provider_name、embedding_model_name 和 score_threshold。异步执行，使用 查询标注回复配置任务状态 跟踪进度。
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
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
要执行的操作。
Available options:
enable, disable Body
application/json
Response
200 - application/json
标注回复设置任务已启动。
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。
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
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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"
}