文本对话

对话完成接口

curl --request POST \
  --url https://geekai.co/api/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-5-mini",
  "messages": [
    {
      "content": "你是一个助手",
      "role": "system"
    },
    {
      "content": "你好",
      "role": "user"
    }
  ],
  "enable_thinking": false,
  "thinking": {
    "include_thoughts": false,
    "budget_tokens": 16000,
    "reasoning_effort": "medium",
    "thinking_level": "high"
  },
  "stream": false,
  "background": false,
  "enable_search": false,
  "search_config": {
    "engine": "glm/search-std",
    "prompt": "<string>",
    "intent": false,
    "count": 10,
    "domain_filter": "<string>",
    "recency_filter": "noLimit",
    "content_size": "medium",
    "return_result": false,
    "result_sequence": "after",
    "require_search": false,
    "deepable": false
  },
  "enable_url_context": false,
  "temperature": 123,
  "max_completion_tokens": 4096,
  "json_mode": false,
  "response_format": {
    "type": "text"
  },
  "modalities": [],
  "audio": {
    "voice": "alloy",
    "format": "wav"
  },
  "image": {
    "image_size": "1K"
  },
  "tools": "<array>",
  "tool_config": {
    "functionCallingConfig": {
      "mode": "AUTO",
      "allowedFunctionNames": [
        "<string>"
      ]
    }
  },
  "parallel_tool_calls": true,
  "image_generation": false,
  "stop": [
    "<string>"
  ],
  "logprobs": false,
  "top_logprobs": 2,
  "frequency_penalty": 0,
  "presence_penalty": 0,
  "top_p": 1,
  "top_k": 1,
  "seed": 123,
  "n": 1,
  "metadata": {},
  "sess_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "retries": 0
}
'

import requests

url = "https://geekai.co/api/v1/chat/completions"

payload = {
    "model": "gpt-5-mini",
    "messages": [
        {
            "content": "你是一个助手",
            "role": "system"
        },
        {
            "content": "你好",
            "role": "user"
        }
    ],
    "enable_thinking": False,
    "thinking": {
        "include_thoughts": False,
        "budget_tokens": 16000,
        "reasoning_effort": "medium",
        "thinking_level": "high"
    },
    "stream": False,
    "background": False,
    "enable_search": False,
    "search_config": {
        "engine": "glm/search-std",
        "prompt": "<string>",
        "intent": False,
        "count": 10,
        "domain_filter": "<string>",
        "recency_filter": "noLimit",
        "content_size": "medium",
        "return_result": False,
        "result_sequence": "after",
        "require_search": False,
        "deepable": False
    },
    "enable_url_context": False,
    "temperature": 123,
    "max_completion_tokens": 4096,
    "json_mode": False,
    "response_format": { "type": "text" },
    "modalities": [],
    "audio": {
        "voice": "alloy",
        "format": "wav"
    },
    "image": { "image_size": "1K" },
    "tools": "<array>",
    "tool_config": { "functionCallingConfig": {
            "mode": "AUTO",
            "allowedFunctionNames": ["<string>"]
        } },
    "parallel_tool_calls": True,
    "image_generation": False,
    "stop": ["<string>"],
    "logprobs": False,
    "top_logprobs": 2,
    "frequency_penalty": 0,
    "presence_penalty": 0,
    "top_p": 1,
    "top_k": 1,
    "seed": 123,
    "n": 1,
    "metadata": {},
    "sess_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "retries": 0
}
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: 'gpt-5-mini',
    messages: [{content: '你是一个助手', role: 'system'}, {content: '你好', role: 'user'}],
    enable_thinking: false,
    thinking: {
      include_thoughts: false,
      budget_tokens: 16000,
      reasoning_effort: 'medium',
      thinking_level: 'high'
    },
    stream: false,
    background: false,
    enable_search: false,
    search_config: {
      engine: 'glm/search-std',
      prompt: '<string>',
      intent: false,
      count: 10,
      domain_filter: '<string>',
      recency_filter: 'noLimit',
      content_size: 'medium',
      return_result: false,
      result_sequence: 'after',
      require_search: false,
      deepable: false
    },
    enable_url_context: false,
    temperature: 123,
    max_completion_tokens: 4096,
    json_mode: false,
    response_format: {type: 'text'},
    modalities: [],
    audio: {voice: 'alloy', format: 'wav'},
    image: {image_size: '1K'},
    tools: '<array>',
    tool_config: {functionCallingConfig: {mode: 'AUTO', allowedFunctionNames: ['<string>']}},
    parallel_tool_calls: true,
    image_generation: false,
    stop: ['<string>'],
    logprobs: false,
    top_logprobs: 2,
    frequency_penalty: 0,
    presence_penalty: 0,
    top_p: 1,
    top_k: 1,
    seed: 123,
    n: 1,
    metadata: {},
    sess_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    retries: 0
  })
};

fetch('https://geekai.co/api/v1/chat/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://geekai.co/api/v1/chat/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([
    'model' => 'gpt-5-mini',
    'messages' => [
        [
                'content' => '你是一个助手',
                'role' => 'system'
        ],
        [
                'content' => '你好',
                'role' => 'user'
        ]
    ],
    'enable_thinking' => false,
    'thinking' => [
        'include_thoughts' => false,
        'budget_tokens' => 16000,
        'reasoning_effort' => 'medium',
        'thinking_level' => 'high'
    ],
    'stream' => false,
    'background' => false,
    'enable_search' => false,
    'search_config' => [
        'engine' => 'glm/search-std',
        'prompt' => '<string>',
        'intent' => false,
        'count' => 10,
        'domain_filter' => '<string>',
        'recency_filter' => 'noLimit',
        'content_size' => 'medium',
        'return_result' => false,
        'result_sequence' => 'after',
        'require_search' => false,
        'deepable' => false
    ],
    'enable_url_context' => false,
    'temperature' => 123,
    'max_completion_tokens' => 4096,
    'json_mode' => false,
    'response_format' => [
        'type' => 'text'
    ],
    'modalities' => [
        
    ],
    'audio' => [
        'voice' => 'alloy',
        'format' => 'wav'
    ],
    'image' => [
        'image_size' => '1K'
    ],
    'tools' => '<array>',
    'tool_config' => [
        'functionCallingConfig' => [
                'mode' => 'AUTO',
                'allowedFunctionNames' => [
                                '<string>'
                ]
        ]
    ],
    'parallel_tool_calls' => true,
    'image_generation' => false,
    'stop' => [
        '<string>'
    ],
    'logprobs' => false,
    'top_logprobs' => 2,
    'frequency_penalty' => 0,
    'presence_penalty' => 0,
    'top_p' => 1,
    'top_k' => 1,
    'seed' => 123,
    'n' => 1,
    'metadata' => [
        
    ],
    'sess_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'retries' => 0
  ]),
  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://geekai.co/api/v1/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"gpt-5-mini\",\n  \"messages\": [\n    {\n      \"content\": \"你是一个助手\",\n      \"role\": \"system\"\n    },\n    {\n      \"content\": \"你好\",\n      \"role\": \"user\"\n    }\n  ],\n  \"enable_thinking\": false,\n  \"thinking\": {\n    \"include_thoughts\": false,\n    \"budget_tokens\": 16000,\n    \"reasoning_effort\": \"medium\",\n    \"thinking_level\": \"high\"\n  },\n  \"stream\": false,\n  \"background\": false,\n  \"enable_search\": false,\n  \"search_config\": {\n    \"engine\": \"glm/search-std\",\n    \"prompt\": \"<string>\",\n    \"intent\": false,\n    \"count\": 10,\n    \"domain_filter\": \"<string>\",\n    \"recency_filter\": \"noLimit\",\n    \"content_size\": \"medium\",\n    \"return_result\": false,\n    \"result_sequence\": \"after\",\n    \"require_search\": false,\n    \"deepable\": false\n  },\n  \"enable_url_context\": false,\n  \"temperature\": 123,\n  \"max_completion_tokens\": 4096,\n  \"json_mode\": false,\n  \"response_format\": {\n    \"type\": \"text\"\n  },\n  \"modalities\": [],\n  \"audio\": {\n    \"voice\": \"alloy\",\n    \"format\": \"wav\"\n  },\n  \"image\": {\n    \"image_size\": \"1K\"\n  },\n  \"tools\": \"<array>\",\n  \"tool_config\": {\n    \"functionCallingConfig\": {\n      \"mode\": \"AUTO\",\n      \"allowedFunctionNames\": [\n        \"<string>\"\n      ]\n    }\n  },\n  \"parallel_tool_calls\": true,\n  \"image_generation\": false,\n  \"stop\": [\n    \"<string>\"\n  ],\n  \"logprobs\": false,\n  \"top_logprobs\": 2,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"top_p\": 1,\n  \"top_k\": 1,\n  \"seed\": 123,\n  \"n\": 1,\n  \"metadata\": {},\n  \"sess_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"retries\": 0\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://geekai.co/api/v1/chat/completions")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gpt-5-mini\",\n  \"messages\": [\n    {\n      \"content\": \"你是一个助手\",\n      \"role\": \"system\"\n    },\n    {\n      \"content\": \"你好\",\n      \"role\": \"user\"\n    }\n  ],\n  \"enable_thinking\": false,\n  \"thinking\": {\n    \"include_thoughts\": false,\n    \"budget_tokens\": 16000,\n    \"reasoning_effort\": \"medium\",\n    \"thinking_level\": \"high\"\n  },\n  \"stream\": false,\n  \"background\": false,\n  \"enable_search\": false,\n  \"search_config\": {\n    \"engine\": \"glm/search-std\",\n    \"prompt\": \"<string>\",\n    \"intent\": false,\n    \"count\": 10,\n    \"domain_filter\": \"<string>\",\n    \"recency_filter\": \"noLimit\",\n    \"content_size\": \"medium\",\n    \"return_result\": false,\n    \"result_sequence\": \"after\",\n    \"require_search\": false,\n    \"deepable\": false\n  },\n  \"enable_url_context\": false,\n  \"temperature\": 123,\n  \"max_completion_tokens\": 4096,\n  \"json_mode\": false,\n  \"response_format\": {\n    \"type\": \"text\"\n  },\n  \"modalities\": [],\n  \"audio\": {\n    \"voice\": \"alloy\",\n    \"format\": \"wav\"\n  },\n  \"image\": {\n    \"image_size\": \"1K\"\n  },\n  \"tools\": \"<array>\",\n  \"tool_config\": {\n    \"functionCallingConfig\": {\n      \"mode\": \"AUTO\",\n      \"allowedFunctionNames\": [\n        \"<string>\"\n      ]\n    }\n  },\n  \"parallel_tool_calls\": true,\n  \"image_generation\": false,\n  \"stop\": [\n    \"<string>\"\n  ],\n  \"logprobs\": false,\n  \"top_logprobs\": 2,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"top_p\": 1,\n  \"top_k\": 1,\n  \"seed\": 123,\n  \"n\": 1,\n  \"metadata\": {},\n  \"sess_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"retries\": 0\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://geekai.co/api/v1/chat/completions")

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\": \"gpt-5-mini\",\n  \"messages\": [\n    {\n      \"content\": \"你是一个助手\",\n      \"role\": \"system\"\n    },\n    {\n      \"content\": \"你好\",\n      \"role\": \"user\"\n    }\n  ],\n  \"enable_thinking\": false,\n  \"thinking\": {\n    \"include_thoughts\": false,\n    \"budget_tokens\": 16000,\n    \"reasoning_effort\": \"medium\",\n    \"thinking_level\": \"high\"\n  },\n  \"stream\": false,\n  \"background\": false,\n  \"enable_search\": false,\n  \"search_config\": {\n    \"engine\": \"glm/search-std\",\n    \"prompt\": \"<string>\",\n    \"intent\": false,\n    \"count\": 10,\n    \"domain_filter\": \"<string>\",\n    \"recency_filter\": \"noLimit\",\n    \"content_size\": \"medium\",\n    \"return_result\": false,\n    \"result_sequence\": \"after\",\n    \"require_search\": false,\n    \"deepable\": false\n  },\n  \"enable_url_context\": false,\n  \"temperature\": 123,\n  \"max_completion_tokens\": 4096,\n  \"json_mode\": false,\n  \"response_format\": {\n    \"type\": \"text\"\n  },\n  \"modalities\": [],\n  \"audio\": {\n    \"voice\": \"alloy\",\n    \"format\": \"wav\"\n  },\n  \"image\": {\n    \"image_size\": \"1K\"\n  },\n  \"tools\": \"<array>\",\n  \"tool_config\": {\n    \"functionCallingConfig\": {\n      \"mode\": \"AUTO\",\n      \"allowedFunctionNames\": [\n        \"<string>\"\n      ]\n    }\n  },\n  \"parallel_tool_calls\": true,\n  \"image_generation\": false,\n  \"stop\": [\n    \"<string>\"\n  ],\n  \"logprobs\": false,\n  \"top_logprobs\": 2,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"top_p\": 1,\n  \"top_k\": 1,\n  \"seed\": 123,\n  \"n\": 1,\n  \"metadata\": {},\n  \"sess_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"retries\": 0\n}"

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

{
  "id": "<string>",
  "created": 123,
  "model": "<string>",
  "object": "<string>",
  "choices": [
    {
      "index": 123,
      "message": {
        "role": "assistant",
        "content": "<string>",
        "reasoning_content": "<string>",
        "image": "<string>",
        "audio": {
          "id": "<string>",
          "data": "<string>",
          "expires_at": 123,
          "transcript": "<string>"
        },
        "tool_calls": [
          {
            "id": "<string>",
            "type": "function",
            "function": {
              "name": "<string>",
              "arguments": "<string>"
            }
          }
        ]
      },
      "logprobs": {
        "content": [
          {
            "token": "<string>",
            "logprob": 123,
            "bytes": [
              123
            ],
            "top_logprobs": [
              {
                "token": "<string>",
                "logprob": 123,
                "bytes": [
                  123
                ]
              }
            ]
          }
        ]
      }
    }
  ],
  "usage": {
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "total_tokens": 123,
    "billed_units": 123,
    "prompt_tokens_details": {
      "text_tokens": 123,
      "audio_tokens": 123,
      "cached_tokens": 123,
      "image_tokens": 123,
      "video_tokens": 123,
      "citation_tokens": 123
    },
    "completion_tokens_details": {
      "text_tokens": 123,
      "audio_tokens": 123,
      "reasoning_tokens": 123,
      "accepted_prediction_tokens": 123,
      "rejected_prediction_tokens": 123
    }
  },
  "citations": [
    "<string>"
  ],
  "system_fingerprint": "<string>"
}

{
  "code": "validation_error",
  "message": "参数验证失败",
  "details": {
    "field": "错误描述"
  }
}

{
  "code": "unauthorized",
  "message": "Invalid API key or token"
}

{
  "code": "invalid_request",
  "message": "请求参数不合法"
}

POST

chat

completions

对话完成接口

curl --request POST \
  --url https://geekai.co/api/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-5-mini",
  "messages": [
    {
      "content": "你是一个助手",
      "role": "system"
    },
    {
      "content": "你好",
      "role": "user"
    }
  ],
  "enable_thinking": false,
  "thinking": {
    "include_thoughts": false,
    "budget_tokens": 16000,
    "reasoning_effort": "medium",
    "thinking_level": "high"
  },
  "stream": false,
  "background": false,
  "enable_search": false,
  "search_config": {
    "engine": "glm/search-std",
    "prompt": "<string>",
    "intent": false,
    "count": 10,
    "domain_filter": "<string>",
    "recency_filter": "noLimit",
    "content_size": "medium",
    "return_result": false,
    "result_sequence": "after",
    "require_search": false,
    "deepable": false
  },
  "enable_url_context": false,
  "temperature": 123,
  "max_completion_tokens": 4096,
  "json_mode": false,
  "response_format": {
    "type": "text"
  },
  "modalities": [],
  "audio": {
    "voice": "alloy",
    "format": "wav"
  },
  "image": {
    "image_size": "1K"
  },
  "tools": "<array>",
  "tool_config": {
    "functionCallingConfig": {
      "mode": "AUTO",
      "allowedFunctionNames": [
        "<string>"
      ]
    }
  },
  "parallel_tool_calls": true,
  "image_generation": false,
  "stop": [
    "<string>"
  ],
  "logprobs": false,
  "top_logprobs": 2,
  "frequency_penalty": 0,
  "presence_penalty": 0,
  "top_p": 1,
  "top_k": 1,
  "seed": 123,
  "n": 1,
  "metadata": {},
  "sess_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "retries": 0
}
'

import requests

url = "https://geekai.co/api/v1/chat/completions"

payload = {
    "model": "gpt-5-mini",
    "messages": [
        {
            "content": "你是一个助手",
            "role": "system"
        },
        {
            "content": "你好",
            "role": "user"
        }
    ],
    "enable_thinking": False,
    "thinking": {
        "include_thoughts": False,
        "budget_tokens": 16000,
        "reasoning_effort": "medium",
        "thinking_level": "high"
    },
    "stream": False,
    "background": False,
    "enable_search": False,
    "search_config": {
        "engine": "glm/search-std",
        "prompt": "<string>",
        "intent": False,
        "count": 10,
        "domain_filter": "<string>",
        "recency_filter": "noLimit",
        "content_size": "medium",
        "return_result": False,
        "result_sequence": "after",
        "require_search": False,
        "deepable": False
    },
    "enable_url_context": False,
    "temperature": 123,
    "max_completion_tokens": 4096,
    "json_mode": False,
    "response_format": { "type": "text" },
    "modalities": [],
    "audio": {
        "voice": "alloy",
        "format": "wav"
    },
    "image": { "image_size": "1K" },
    "tools": "<array>",
    "tool_config": { "functionCallingConfig": {
            "mode": "AUTO",
            "allowedFunctionNames": ["<string>"]
        } },
    "parallel_tool_calls": True,
    "image_generation": False,
    "stop": ["<string>"],
    "logprobs": False,
    "top_logprobs": 2,
    "frequency_penalty": 0,
    "presence_penalty": 0,
    "top_p": 1,
    "top_k": 1,
    "seed": 123,
    "n": 1,
    "metadata": {},
    "sess_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "retries": 0
}
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: 'gpt-5-mini',
    messages: [{content: '你是一个助手', role: 'system'}, {content: '你好', role: 'user'}],
    enable_thinking: false,
    thinking: {
      include_thoughts: false,
      budget_tokens: 16000,
      reasoning_effort: 'medium',
      thinking_level: 'high'
    },
    stream: false,
    background: false,
    enable_search: false,
    search_config: {
      engine: 'glm/search-std',
      prompt: '<string>',
      intent: false,
      count: 10,
      domain_filter: '<string>',
      recency_filter: 'noLimit',
      content_size: 'medium',
      return_result: false,
      result_sequence: 'after',
      require_search: false,
      deepable: false
    },
    enable_url_context: false,
    temperature: 123,
    max_completion_tokens: 4096,
    json_mode: false,
    response_format: {type: 'text'},
    modalities: [],
    audio: {voice: 'alloy', format: 'wav'},
    image: {image_size: '1K'},
    tools: '<array>',
    tool_config: {functionCallingConfig: {mode: 'AUTO', allowedFunctionNames: ['<string>']}},
    parallel_tool_calls: true,
    image_generation: false,
    stop: ['<string>'],
    logprobs: false,
    top_logprobs: 2,
    frequency_penalty: 0,
    presence_penalty: 0,
    top_p: 1,
    top_k: 1,
    seed: 123,
    n: 1,
    metadata: {},
    sess_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    retries: 0
  })
};

fetch('https://geekai.co/api/v1/chat/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://geekai.co/api/v1/chat/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([
    'model' => 'gpt-5-mini',
    'messages' => [
        [
                'content' => '你是一个助手',
                'role' => 'system'
        ],
        [
                'content' => '你好',
                'role' => 'user'
        ]
    ],
    'enable_thinking' => false,
    'thinking' => [
        'include_thoughts' => false,
        'budget_tokens' => 16000,
        'reasoning_effort' => 'medium',
        'thinking_level' => 'high'
    ],
    'stream' => false,
    'background' => false,
    'enable_search' => false,
    'search_config' => [
        'engine' => 'glm/search-std',
        'prompt' => '<string>',
        'intent' => false,
        'count' => 10,
        'domain_filter' => '<string>',
        'recency_filter' => 'noLimit',
        'content_size' => 'medium',
        'return_result' => false,
        'result_sequence' => 'after',
        'require_search' => false,
        'deepable' => false
    ],
    'enable_url_context' => false,
    'temperature' => 123,
    'max_completion_tokens' => 4096,
    'json_mode' => false,
    'response_format' => [
        'type' => 'text'
    ],
    'modalities' => [
        
    ],
    'audio' => [
        'voice' => 'alloy',
        'format' => 'wav'
    ],
    'image' => [
        'image_size' => '1K'
    ],
    'tools' => '<array>',
    'tool_config' => [
        'functionCallingConfig' => [
                'mode' => 'AUTO',
                'allowedFunctionNames' => [
                                '<string>'
                ]
        ]
    ],
    'parallel_tool_calls' => true,
    'image_generation' => false,
    'stop' => [
        '<string>'
    ],
    'logprobs' => false,
    'top_logprobs' => 2,
    'frequency_penalty' => 0,
    'presence_penalty' => 0,
    'top_p' => 1,
    'top_k' => 1,
    'seed' => 123,
    'n' => 1,
    'metadata' => [
        
    ],
    'sess_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'retries' => 0
  ]),
  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://geekai.co/api/v1/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"gpt-5-mini\",\n  \"messages\": [\n    {\n      \"content\": \"你是一个助手\",\n      \"role\": \"system\"\n    },\n    {\n      \"content\": \"你好\",\n      \"role\": \"user\"\n    }\n  ],\n  \"enable_thinking\": false,\n  \"thinking\": {\n    \"include_thoughts\": false,\n    \"budget_tokens\": 16000,\n    \"reasoning_effort\": \"medium\",\n    \"thinking_level\": \"high\"\n  },\n  \"stream\": false,\n  \"background\": false,\n  \"enable_search\": false,\n  \"search_config\": {\n    \"engine\": \"glm/search-std\",\n    \"prompt\": \"<string>\",\n    \"intent\": false,\n    \"count\": 10,\n    \"domain_filter\": \"<string>\",\n    \"recency_filter\": \"noLimit\",\n    \"content_size\": \"medium\",\n    \"return_result\": false,\n    \"result_sequence\": \"after\",\n    \"require_search\": false,\n    \"deepable\": false\n  },\n  \"enable_url_context\": false,\n  \"temperature\": 123,\n  \"max_completion_tokens\": 4096,\n  \"json_mode\": false,\n  \"response_format\": {\n    \"type\": \"text\"\n  },\n  \"modalities\": [],\n  \"audio\": {\n    \"voice\": \"alloy\",\n    \"format\": \"wav\"\n  },\n  \"image\": {\n    \"image_size\": \"1K\"\n  },\n  \"tools\": \"<array>\",\n  \"tool_config\": {\n    \"functionCallingConfig\": {\n      \"mode\": \"AUTO\",\n      \"allowedFunctionNames\": [\n        \"<string>\"\n      ]\n    }\n  },\n  \"parallel_tool_calls\": true,\n  \"image_generation\": false,\n  \"stop\": [\n    \"<string>\"\n  ],\n  \"logprobs\": false,\n  \"top_logprobs\": 2,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"top_p\": 1,\n  \"top_k\": 1,\n  \"seed\": 123,\n  \"n\": 1,\n  \"metadata\": {},\n  \"sess_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"retries\": 0\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://geekai.co/api/v1/chat/completions")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gpt-5-mini\",\n  \"messages\": [\n    {\n      \"content\": \"你是一个助手\",\n      \"role\": \"system\"\n    },\n    {\n      \"content\": \"你好\",\n      \"role\": \"user\"\n    }\n  ],\n  \"enable_thinking\": false,\n  \"thinking\": {\n    \"include_thoughts\": false,\n    \"budget_tokens\": 16000,\n    \"reasoning_effort\": \"medium\",\n    \"thinking_level\": \"high\"\n  },\n  \"stream\": false,\n  \"background\": false,\n  \"enable_search\": false,\n  \"search_config\": {\n    \"engine\": \"glm/search-std\",\n    \"prompt\": \"<string>\",\n    \"intent\": false,\n    \"count\": 10,\n    \"domain_filter\": \"<string>\",\n    \"recency_filter\": \"noLimit\",\n    \"content_size\": \"medium\",\n    \"return_result\": false,\n    \"result_sequence\": \"after\",\n    \"require_search\": false,\n    \"deepable\": false\n  },\n  \"enable_url_context\": false,\n  \"temperature\": 123,\n  \"max_completion_tokens\": 4096,\n  \"json_mode\": false,\n  \"response_format\": {\n    \"type\": \"text\"\n  },\n  \"modalities\": [],\n  \"audio\": {\n    \"voice\": \"alloy\",\n    \"format\": \"wav\"\n  },\n  \"image\": {\n    \"image_size\": \"1K\"\n  },\n  \"tools\": \"<array>\",\n  \"tool_config\": {\n    \"functionCallingConfig\": {\n      \"mode\": \"AUTO\",\n      \"allowedFunctionNames\": [\n        \"<string>\"\n      ]\n    }\n  },\n  \"parallel_tool_calls\": true,\n  \"image_generation\": false,\n  \"stop\": [\n    \"<string>\"\n  ],\n  \"logprobs\": false,\n  \"top_logprobs\": 2,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"top_p\": 1,\n  \"top_k\": 1,\n  \"seed\": 123,\n  \"n\": 1,\n  \"metadata\": {},\n  \"sess_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"retries\": 0\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://geekai.co/api/v1/chat/completions")

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\": \"gpt-5-mini\",\n  \"messages\": [\n    {\n      \"content\": \"你是一个助手\",\n      \"role\": \"system\"\n    },\n    {\n      \"content\": \"你好\",\n      \"role\": \"user\"\n    }\n  ],\n  \"enable_thinking\": false,\n  \"thinking\": {\n    \"include_thoughts\": false,\n    \"budget_tokens\": 16000,\n    \"reasoning_effort\": \"medium\",\n    \"thinking_level\": \"high\"\n  },\n  \"stream\": false,\n  \"background\": false,\n  \"enable_search\": false,\n  \"search_config\": {\n    \"engine\": \"glm/search-std\",\n    \"prompt\": \"<string>\",\n    \"intent\": false,\n    \"count\": 10,\n    \"domain_filter\": \"<string>\",\n    \"recency_filter\": \"noLimit\",\n    \"content_size\": \"medium\",\n    \"return_result\": false,\n    \"result_sequence\": \"after\",\n    \"require_search\": false,\n    \"deepable\": false\n  },\n  \"enable_url_context\": false,\n  \"temperature\": 123,\n  \"max_completion_tokens\": 4096,\n  \"json_mode\": false,\n  \"response_format\": {\n    \"type\": \"text\"\n  },\n  \"modalities\": [],\n  \"audio\": {\n    \"voice\": \"alloy\",\n    \"format\": \"wav\"\n  },\n  \"image\": {\n    \"image_size\": \"1K\"\n  },\n  \"tools\": \"<array>\",\n  \"tool_config\": {\n    \"functionCallingConfig\": {\n      \"mode\": \"AUTO\",\n      \"allowedFunctionNames\": [\n        \"<string>\"\n      ]\n    }\n  },\n  \"parallel_tool_calls\": true,\n  \"image_generation\": false,\n  \"stop\": [\n    \"<string>\"\n  ],\n  \"logprobs\": false,\n  \"top_logprobs\": 2,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"top_p\": 1,\n  \"top_k\": 1,\n  \"seed\": 123,\n  \"n\": 1,\n  \"metadata\": {},\n  \"sess_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"retries\": 0\n}"

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

{
  "id": "<string>",
  "created": 123,
  "model": "<string>",
  "object": "<string>",
  "choices": [
    {
      "index": 123,
      "message": {
        "role": "assistant",
        "content": "<string>",
        "reasoning_content": "<string>",
        "image": "<string>",
        "audio": {
          "id": "<string>",
          "data": "<string>",
          "expires_at": 123,
          "transcript": "<string>"
        },
        "tool_calls": [
          {
            "id": "<string>",
            "type": "function",
            "function": {
              "name": "<string>",
              "arguments": "<string>"
            }
          }
        ]
      },
      "logprobs": {
        "content": [
          {
            "token": "<string>",
            "logprob": 123,
            "bytes": [
              123
            ],
            "top_logprobs": [
              {
                "token": "<string>",
                "logprob": 123,
                "bytes": [
                  123
                ]
              }
            ]
          }
        ]
      }
    }
  ],
  "usage": {
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "total_tokens": 123,
    "billed_units": 123,
    "prompt_tokens_details": {
      "text_tokens": 123,
      "audio_tokens": 123,
      "cached_tokens": 123,
      "image_tokens": 123,
      "video_tokens": 123,
      "citation_tokens": 123
    },
    "completion_tokens_details": {
      "text_tokens": 123,
      "audio_tokens": 123,
      "reasoning_tokens": 123,
      "accepted_prediction_tokens": 123,
      "rejected_prediction_tokens": 123
    }
  },
  "citations": [
    "<string>"
  ],
  "system_fingerprint": "<string>"
}

{
  "code": "validation_error",
  "message": "参数验证失败",
  "details": {
    "field": "错误描述"
  }
}

{
  "code": "unauthorized",
  "message": "Invalid API key or token"
}

{
  "code": "invalid_request",
  "message": "请求参数不合法"
}

注：你可以在模型广场筛选查看系统支持的所有对话模型列表，对话模型请求/响应参数结构兼容 OpenAI，切换模型时只需修改对应的模型名称即可，若模型请求/响应参数和 OpenAI 不一致，极客智坊底层会自动转换对齐。除百度文心一言和讯飞星火模型外，其他所有平台支持函数调用（具体支持模型以平台限制为准）。调用 GPTs 模型 API 时，需要将 gpt-4-gizmo-* 中的 * 替换成对应 GPTs 的 gizmo_id，获取方式：从 GPTs URL 中提取，以 https://chatgpt.com/g/g-bo0FiWLY7-researchgpt 为例，对应的 gizmo_id 为 g-bo0FiWLY7。

响应数据基础结构和 OpenAI 完全兼容，并在其基础上为适配其他模型新增功能，提供了对搜索引用链接(citations)、搜索计费次数(billed_units)、消息内容支持视频、图片/视频输入tokens、推理模式设置(thinking)的支持，响应结构会根据是否是流式输出而变化，可以参考下面的请求示例进行判断。关于对话模型 API 调用示例，可以参考这里：文本对话。

请求/响应参数明细

授权

Authorization

string

header

必填

API认证token

请求体

application/json

model

string

默认值:gpt-5-mini

必填

对话模型

messages

object[]

必填

消息列表

Show child attributes

示例:

[
  { "content": "你是一个助手", "role": "system" },
  { "content": "你好", "role": "user" }
]

enable_thinking

boolean

默认值:false

开启推理模式，仅支持切换思考模式的模型支持

thinking

object

推理模式细节配置

Show child attributes

stream

boolean

默认值:false

是否返回流式响应，默认false

background

boolean

默认值:false

是否开启后台任务模式，默认false，注意 stream 和 background 不能同时为 true

enable_search

boolean

默认值:false

是否启用联网搜索，默认false

search_config

object

联网搜索配置明细，仅智谱清言和不支持内置搜索工具的模型适用

Show child attributes

enable_url_context

boolean

默认值:false

是否启用 URL Context，默认false，仅部分 Gemini 模型生效

temperature

number

温度参数，默认为代理模型默认值

max_completion_tokens

integer

最大输出token数,默认设置为当前模型最大支持输出

示例:

4096

json_mode

boolean

默认值:false

是否设置响应格式为JSON对象，默认false

response_format

Text · object

指定响应输出格式，默认不指定为文本输出，如果设置该配置项会覆盖json_mode设置

Text
JSON object
JSON schema

Show child attributes

modalities

enum<string>[]

输出的多模态类型列表

可用选项:

text,

image,

audio,

video

audio

object

音频输出配置

Show child attributes

image

object

图像生成配置，仅 Gemini 3 Pro Image 适用

Show child attributes

tools

array

可调用的工具函数列表

tool_choice

模型在生成响应时应如何选择使用哪个工具（或多个工具）

可用选项:

none,

auto,

required

tool_config

object

工具函数调用配置(兼容gemini)

Show child attributes

parallel_tool_calls

boolean

默认值:true

是否并发调用工具函数

image_generation

boolean

默认值:false

是否强制出图，仅支持对话画图的模型支持

stop

string[]

停止生成的触发词列表

logprobs

boolean

默认值:false

是否返回token概率

top_logprobs

integer

每个位置返回的最可能token数

示例:

2

frequency_penalty

number

默认值:0

频率惩罚系数

presence_penalty

number

默认值:0

存在惩罚系数

top_p

number

默认值:1

核采样阈值

top_k

integer

默认值:1

最高概率采样数

seed

integer

随机数种子

integer

默认值:1

生成结果数量

metadata

object

自定义元数据

sess_id

string<uuid>

第三方应用自行实现的会话ID

retries

integer

默认值:0

自动重试次数，默认0

响应

成功响应

string

请求ID

status

enum<string>

请求状态，只有后台模式才会返回

可用选项:

pending,

running,

succeed

created

integer

请求创建Unix时间戳

model

string

对话使用的模型

object

string

响应对象类型

choices

object[]

生成的对话列表

Show child attributes

usage

object

tokens消耗统计

Show child attributes

citations

string[]

引用的文献/链接列表

system_fingerprint

string

系统指纹

文本模型

画图模型

语音模型

视频模型

3D模型

模型列表

文件对话

OCR服务

令牌管理

账单信息

请求/响应参数明细

授权

请求体

响应

​请求/响应参数明细

授权

请求体

响应

请求/响应参数明细