curl --request GET \
  --url https://app.teable.ai/api/%7BbaseId%7D/ai/config \
  --header 'Authorization: Bearer REPLACE_BEARER_TOKEN'

const url = 'https://app.teable.ai/api/%7BbaseId%7D/ai/config';
const options = {method: 'GET', headers: {Authorization: 'Bearer REPLACE_BEARER_TOKEN'}};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

const http = require('https');

const options = {
  method: 'GET',
  hostname: 'app.teable.ai',
  port: null,
  path: '/api/%7BbaseId%7D/ai/config',
  headers: {
    Authorization: 'Bearer REPLACE_BEARER_TOKEN'
  }
};

const req = http.request(options, function (res) {
  const chunks = [];

  res.on('data', function (chunk) {
    chunks.push(chunk);
  });

  res.on('end', function () {
    const body = Buffer.concat(chunks);
    console.log(body.toString());
  });
});

req.end();

import http.client

conn = http.client.HTTPSConnection("app.teable.ai")

headers = { 'Authorization': "Bearer REPLACE_BEARER_TOKEN" }

conn.request("GET", "/api/%7BbaseId%7D/ai/config", headers=headers)

res = conn.getresponse()
data = res.read()

print(data.decode("utf-8"))

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://app.teable.ai/api/{baseId}/ai/config",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://app.teable.ai/api/{baseId}/ai/config"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://app.teable.ai/api/{baseId}/ai/config")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://app.teable.ai/api/{baseId}/ai/config")

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

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

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

{
  "llmProviders": [],
  "embeddingModel": "<string>",
  "translationModel": "<string>",
  "gatewayModels": [
    {
      "id": "<string>",
      "label": "<string>",
      "enabled": true,
      "capabilities": {
        "image": true,
        "pdf": true,
        "webSearch": true,
        "toolCall": true,
        "reasoning": true,
        "imageGeneration": true
      },
      "pricing": {
        "input": "<string>",
        "output": "<string>",
        "inputCacheRead": "<string>",
        "inputCacheWrite": "<string>",
        "reasoning": "<string>",
        "image": "<string>",
        "webSearch": "<string>"
      },
      "rates": {
        "inputRate": 1,
        "outputRate": 1,
        "cacheReadRate": 1,
        "cacheWriteRate": 1,
        "reasoningRate": 1,
        "imageRate": 1,
        "webSearchRate": 1
      },
      "isImageModel": true,
      "defaultFor": [
        "chatLg"
      ],
      "testedAt": 123,
      "ownedBy": "alibaba",
      "modelType": "language",
      "tags": [
        "reasoning"
      ],
      "contextWindow": 123,
      "maxTokens": 123,
      "description": "<string>"
    }
  ],
  "capabilities": {
    "disableActions": [
      "<string>"
    ]
  },
  "aiGatewayApiKey": "<string>",
  "aiGatewayBaseUrl": "<string>",
  "attachmentTest": {
    "urlMode": {
      "success": true,
      "errorMessage": "<string>"
    },
    "base64Mode": {
      "success": true,
      "errorMessage": "<string>"
    },
    "testedAt": "<string>",
    "testedOrigin": "<string>",
    "recommendedMode": "url"
  },
  "attachmentTransferMode": "url",
  "aiGatewayApiKeys": [
    "<string>"
  ],
  "vertexByokCredential": {
    "project": "<string>",
    "location": "<string>",
    "googleCredentials": {
      "privateKey": "<string>",
      "clientEmail": "<string>"
    }
  },
  "concurrencyGroups": [
    {
      "id": "<string>",
      "name": "<string>",
      "taskTypes": [],
      "keys": [],
      "perKey": 5
    }
  ],
  "concurrencyPerKey": 50.5,
  "modelDefinationMap": {},
  "chatModel": {
    "lg": "<string>",
    "md": "<string>",
    "sm": "<string>",
    "ability": {
      "image": true,
      "pdf": true,
      "webSearch": true,
      "toolCall": true,
      "reasoning": true,
      "imageGeneration": true
    },
    "tags": [
      "reasoning"
    ]
  }
}