创建结构化输出

var myHeaders = new Headers();
myHeaders.append("Authorization", "Bearer <token>");
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
   "model": "gpt-4.1-2025-04-14",
   "messages": [
      {
         "role": "system",
         "content": "Determine if the user input violates specific guidelines and explain if they do."
      },
      {
         "role": "user",
         "content": "How do I prepare for a job interview?"
      }
   ],
   "response_format": {
      "type": "json_schema",
      "json_schema": {
         "name": "content_compliance",
         "description": "Determines if content is violating specific moderation rules",
         "schema": {
            "type": "object",
            "properties": {
               "is_violating": {
                  "type": "boolean",
                  "description": "Indicates if the content is violating guidelines"
               },
               "category": {
                  "type": ["string", "null"],
                  "description": "Type of violation, if the content is violating guidelines. Null otherwise.",
                  "enum": ["violence", "sexual", "self_harm"]
               },
               "explanation_if_violating": {
                  "type": ["string", "null"],
                  "description": "Explanation of why the content is violating"
               }
            },
            "required": ["is_violating", "category", "explanation_if_violating"],
            "additionalProperties": false
         },
         "strict": true
      }
   }
});

var requestOptions = {
   method: 'POST',
   headers: myHeaders,
   body: raw,
   redirect: 'follow'
};

fetch("https://api.quickrouter.ai/v1/chat/completions", requestOptions)
   .then(response => response.text())
   .then(result => console.log(result))
   .catch(error => console.log('error', error));

import http.client
import json

conn = http.client.HTTPSConnection("api.quickrouter.ai")
payload = json.dumps({
   "model": "gpt-4.1-2025-04-14",
   "messages": [
      {
         "role": "system",
         "content": "Determine if the user input violates specific guidelines and explain if they do."
      },
      {
         "role": "user",
         "content": "How do I prepare for a job interview?"
      }
   ],
   "response_format": {
      "type": "json_schema",
      "json_schema": {
         "name": "content_compliance",
         "description": "Determines if content is violating specific moderation rules",
         "schema": {
            "type": "object",
            "properties": {
               "is_violating": {
                  "type": "boolean",
                  "description": "Indicates if the content is violating guidelines"
               },
               "category": {
                  "type": ["string", "null"],
                  "description": "Type of violation, if the content is violating guidelines. Null otherwise.",
                  "enum": ["violence", "sexual", "self_harm"]
               },
               "explanation_if_violating": {
                  "type": ["string", "null"],
                  "description": "Explanation of why the content is violating"
               }
            },
            "required": ["is_violating", "category", "explanation_if_violating"],
            "additionalProperties": False
         },
         "strict": True
      }
   }
})
headers = {
   'Authorization': 'Bearer <token>',
   'Content-Type': 'application/json'
}
conn.request("POST", "/v1/chat/completions", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))