跳转到主要内容
POST
https://api.aisa.one/apis/v1
/
perplexity
/
sonar-deep-research
Sonar Deep Research — 详尽研究与综合报告
curl --request POST \
  --url https://api.aisa.one/apis/v1/perplexity/sonar-deep-research \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "sonar-deep-research",
  "messages": [
    {
      "role": "user",
      "content": "Write a comprehensive analysis of the global semiconductor supply chain risks in 2026"
    }
  ]
}
'
import requests

url = "https://api.aisa.one/apis/v1/perplexity/sonar-deep-research"

payload = {
"model": "sonar-deep-research",
"messages": [
{
"role": "user",
"content": "Write a comprehensive analysis of the global semiconductor supply chain risks in 2026"
}
]
}
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({
model: 'sonar-deep-research',
messages: [
{
role: 'user',
content: 'Write a comprehensive analysis of the global semiconductor supply chain risks in 2026'
}
]
})
};

fetch('https://api.aisa.one/apis/v1/perplexity/sonar-deep-research', 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.aisa.one/apis/v1/perplexity/sonar-deep-research",
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([
'model' => 'sonar-deep-research',
'messages' => [
[
'role' => 'user',
'content' => 'Write a comprehensive analysis of the global semiconductor supply chain risks in 2026'
]
]
]),
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.aisa.one/apis/v1/perplexity/sonar-deep-research"

payload := strings.NewReader("{\n \"model\": \"sonar-deep-research\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Write a comprehensive analysis of the global semiconductor supply chain risks in 2026\"\n }\n ]\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.aisa.one/apis/v1/perplexity/sonar-deep-research")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"sonar-deep-research\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Write a comprehensive analysis of the global semiconductor supply chain risks in 2026\"\n }\n ]\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.aisa.one/apis/v1/perplexity/sonar-deep-research")

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 \"model\": \"sonar-deep-research\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Write a comprehensive analysis of the global semiconductor supply chain risks in 2026\"\n }\n ]\n}"

response = http.request(request)
puts response.read_body
{
  "id": "<string>",
  "model": "<string>",
  "object": "chat.completion",
  "created": 123,
  "choices": [
    {
      "index": 123,
      "message": {
        "role": "<string>",
        "content": "<string>"
      }
    }
  ],
  "citations": [
    "<string>"
  ],
  "search_results": [
    {
      "title": "<string>",
      "url": "<string>",
      "snippet": "<string>",
      "date": "<string>",
      "source": "<string>"
    }
  ],
  "usage": {
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "total_tokens": 123,
    "search_context_size": "<string>"
  }
}
Sonar Deep Research 是 Perplexity 最全面深入的模型。它会执行详尽的多步骤网络搜索,并生成内容全面、引用充分的研究报告。 最适合: 深度研究、综合分析、文献综述、市场研究报告。 模型: sonar-deep-research
注意: 由于需要执行详尽的多步骤搜索流程,深度研究请求可能需要更长时间才能完成(最长可达数分钟)。

示例

curl -X POST "https://api.aisa.one/apis/v1/perplexity/sonar-deep-research" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "sonar-deep-research",
    "messages": [
      {"role": "user", "content": "Write a comprehensive analysis of the global semiconductor supply chain risks in 2026"}
    ]
  }'

响应

响应遵循 OpenAI 聊天补全格式,并额外包含 citationssearch_results 字段。深度研究响应通常比其他模型的响应更长、内容更详尽。

授权

Authorization
string
header
必填

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

请求体

application/json
model
enum<string>
必填

要使用的 Sonar 模型。

可用选项:
sonar,
sonar-pro,
sonar-reasoning-pro,
sonar-deep-research
messages
object[]
必填

由截至目前的对话内容组成的消息列表。

max_tokens
integer

响应中要生成的最大词元数。

temperature
number
默认值:0.2

介于 0 和 2 之间的采样温度。较低的值会使输出更集中且更具确定性。

必填范围: 0 <= x <= 2
top_p
number
默认值:0.9

核采样参数。模型会考虑累计概率质量达到 top_p 的词元。

必填范围: 0 <= x <= 1
top_k
integer
默认值:0

用于 top-k 筛选的保留词元数。

必填范围: 0 <= x <= 2048
stream
boolean
默认值:false

是否使用服务器发送事件以流式方式返回响应。

search_context
enum<string>
默认值:low

控制使用的搜索上下文量。会影响单次请求的成本。

可用选项:
low,
medium,
high
frequency_penalty
number
默认值:1

根据新词元目前在文本中的出现频率对其施加惩罚。正值会降低逐字重复同一行的可能性。

必填范围: 0 <= x <= 2
presence_penalty
number
默认值:0

根据新词元此前是否已出现在文本中对其施加惩罚。正值会提高谈论新主题的可能性。

必填范围: -2 <= x <= 2
return_citations
boolean
默认值:true

是否在响应中返回引用和搜索结果。

search_recency_filter
enum<string>

按时效性筛选搜索结果。

可用选项:
month,
week,
day,
hour
search_domain_filter
string[]

将搜索限制在特定域名。

响应

200 - application/json

包含 AI 答案和引用的成功响应

id
string

补全结果的唯一标识符。

model
string

用于生成补全内容的模型。

object
string
示例:

"chat.completion"

created
integer

补全创建时间的 Unix 时间戳。

choices
object[]
citations
string[]

答案中引用的来源 URL 列表。

search_results
object[]

包含标题、摘要和 URL 的详细搜索结果。

usage
object