创建补全

curl --request POST \
  --url https://api.example.com/api/v1/completions \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "<string>",
  "mode": "<string>",
  "stream": true,
  "conversation_id": "<string>",
  "skills": [
    "<string>"
  ],
  "tools": [
    {
      "name": "<string>",
      "description": "<string>",
      "input_schema": {}
    }
  ],
  "persona": {},
  "temperature": 123,
  "max_iterations": 123,
  "model_overrides": {},
  "format": "<string>",
  "metadata": {},
  "component_library": "<string>",
  "memory": true,
  "conversation": {},
  "response_style": {},
  "personality_config": {},
  "theo_branding": true,
  "brand_soul": true,
  "attachments": [
    {}
  ],
  "image_model": "<string>",
  "image_quality": "<string>",
  "stealth_model": "<string>",
  "stealth_aspect": "<string>",
  "stealth_duration": "<string>"
}
'

import requests

url = "https://api.example.com/api/v1/completions"

payload = {
    "prompt": "<string>",
    "mode": "<string>",
    "stream": True,
    "conversation_id": "<string>",
    "skills": ["<string>"],
    "tools": [
        {
            "name": "<string>",
            "description": "<string>",
            "input_schema": {}
        }
    ],
    "persona": {},
    "temperature": 123,
    "max_iterations": 123,
    "model_overrides": {},
    "format": "<string>",
    "metadata": {},
    "component_library": "<string>",
    "memory": True,
    "conversation": {},
    "response_style": {},
    "personality_config": {},
    "theo_branding": True,
    "brand_soul": True,
    "attachments": [{}],
    "image_model": "<string>",
    "image_quality": "<string>",
    "stealth_model": "<string>",
    "stealth_aspect": "<string>",
    "stealth_duration": "<string>"
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    prompt: '<string>',
    mode: '<string>',
    stream: true,
    conversation_id: '<string>',
    skills: ['<string>'],
    tools: [{name: '<string>', description: '<string>', input_schema: {}}],
    persona: {},
    temperature: 123,
    max_iterations: 123,
    model_overrides: {},
    format: '<string>',
    metadata: {},
    component_library: '<string>',
    memory: true,
    conversation: {},
    response_style: {},
    personality_config: {},
    theo_branding: true,
    brand_soul: true,
    attachments: [{}],
    image_model: '<string>',
    image_quality: '<string>',
    stealth_model: '<string>',
    stealth_aspect: '<string>',
    stealth_duration: '<string>'
  })
};

fetch('https://api.example.com/api/v1/completions', 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.example.com/api/v1/completions",
  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([
    'prompt' => '<string>',
    'mode' => '<string>',
    'stream' => true,
    'conversation_id' => '<string>',
    'skills' => [
        '<string>'
    ],
    'tools' => [
        [
                'name' => '<string>',
                'description' => '<string>',
                'input_schema' => [
                                
                ]
        ]
    ],
    'persona' => [
        
    ],
    'temperature' => 123,
    'max_iterations' => 123,
    'model_overrides' => [
        
    ],
    'format' => '<string>',
    'metadata' => [
        
    ],
    'component_library' => '<string>',
    'memory' => true,
    'conversation' => [
        
    ],
    'response_style' => [
        
    ],
    'personality_config' => [
        
    ],
    'theo_branding' => true,
    'brand_soul' => true,
    'attachments' => [
        [
                
        ]
    ],
    'image_model' => '<string>',
    'image_quality' => '<string>',
    'stealth_model' => '<string>',
    'stealth_aspect' => '<string>',
    'stealth_duration' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "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.example.com/api/v1/completions"

	payload := strings.NewReader("{\n  \"prompt\": \"<string>\",\n  \"mode\": \"<string>\",\n  \"stream\": true,\n  \"conversation_id\": \"<string>\",\n  \"skills\": [\n    \"<string>\"\n  ],\n  \"tools\": [\n    {\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"input_schema\": {}\n    }\n  ],\n  \"persona\": {},\n  \"temperature\": 123,\n  \"max_iterations\": 123,\n  \"model_overrides\": {},\n  \"format\": \"<string>\",\n  \"metadata\": {},\n  \"component_library\": \"<string>\",\n  \"memory\": true,\n  \"conversation\": {},\n  \"response_style\": {},\n  \"personality_config\": {},\n  \"theo_branding\": true,\n  \"brand_soul\": true,\n  \"attachments\": [\n    {}\n  ],\n  \"image_model\": \"<string>\",\n  \"image_quality\": \"<string>\",\n  \"stealth_model\": \"<string>\",\n  \"stealth_aspect\": \"<string>\",\n  \"stealth_duration\": \"<string>\"\n}")

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

	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.example.com/api/v1/completions")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"<string>\",\n  \"mode\": \"<string>\",\n  \"stream\": true,\n  \"conversation_id\": \"<string>\",\n  \"skills\": [\n    \"<string>\"\n  ],\n  \"tools\": [\n    {\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"input_schema\": {}\n    }\n  ],\n  \"persona\": {},\n  \"temperature\": 123,\n  \"max_iterations\": 123,\n  \"model_overrides\": {},\n  \"format\": \"<string>\",\n  \"metadata\": {},\n  \"component_library\": \"<string>\",\n  \"memory\": true,\n  \"conversation\": {},\n  \"response_style\": {},\n  \"personality_config\": {},\n  \"theo_branding\": true,\n  \"brand_soul\": true,\n  \"attachments\": [\n    {}\n  ],\n  \"image_model\": \"<string>\",\n  \"image_quality\": \"<string>\",\n  \"stealth_model\": \"<string>\",\n  \"stealth_aspect\": \"<string>\",\n  \"stealth_duration\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/api/v1/completions")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"prompt\": \"<string>\",\n  \"mode\": \"<string>\",\n  \"stream\": true,\n  \"conversation_id\": \"<string>\",\n  \"skills\": [\n    \"<string>\"\n  ],\n  \"tools\": [\n    {\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"input_schema\": {}\n    }\n  ],\n  \"persona\": {},\n  \"temperature\": 123,\n  \"max_iterations\": 123,\n  \"model_overrides\": {},\n  \"format\": \"<string>\",\n  \"metadata\": {},\n  \"component_library\": \"<string>\",\n  \"memory\": true,\n  \"conversation\": {},\n  \"response_style\": {},\n  \"personality_config\": {},\n  \"theo_branding\": true,\n  \"brand_soul\": true,\n  \"attachments\": [\n    {}\n  ],\n  \"image_model\": \"<string>\",\n  \"image_quality\": \"<string>\",\n  \"stealth_model\": \"<string>\",\n  \"stealth_aspect\": \"<string>\",\n  \"stealth_duration\": \"<string>\"\n}"

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

{
  "id": "<string>",
  "object": "<string>",
  "created": "<string>",
  "content": "<string>",
  "mode": "<string>",
  "resolved_mode": "<string>",
  "model": {
    "id": "<string>",
    "label": "<string>",
    "engine": "<string>"
  },
  "tools_used": [
    {
      "name": "<string>",
      "status": "<string>",
      "description": "<string>"
    }
  ],
  "artifacts": [
    {}
  ],
  "follow_ups": [
    {
      "label": "<string>",
      "prompt": "<string>"
    }
  ],
  "usage": {
    "cost_cents": 123,
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "total_tokens": 123,
    "cached": true
  },
  "metadata": {},
  "conversation_id": {},
  "request_id": "<string>"
}