Gemini GenerateContent

Generate output using the native Gemini content format

POST /v1beta/models/{model}:generateContent

Gemini GenerateContent

cURL

curl --request POST \
  --url https://api.bianxie.ai/v1beta/models/{model}:generateContent

import requests

url = "https://api.bianxie.ai/v1beta/models/{model}:generateContent"

response = requests.post(url)

print(response.text)

const options = {method: 'POST'};

fetch('https://api.bianxie.ai/v1beta/models/{model}:generateContent', 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.bianxie.ai/v1beta/models/{model}:generateContent",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
]);

$response = curl_exec($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://api.bianxie.ai/v1beta/models/{model}:generateContent"

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

	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.bianxie.ai/v1beta/models/{model}:generateContent")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.bianxie.ai/v1beta/models/{model}:generateContent")

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

request = Net::HTTP::Post.new(url)

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

Authenticate with x-goog-api-key: API_KEY. The model path parameter is required.

Field	Type	Required	Description
contents	array	Yes	Conversation turns containing role and parts[]; parts may carry text or supported media.
systemInstruction	object	No	System instruction content.
generationConfig	object	No	Temperature, topP, topK, candidate count, output-token limit, stops, and response MIME/schema.
safetySettings	array	No	Safety categories and thresholds.
tools, toolConfig	mixed	No	Function, code execution, search, or other model-supported tools and configuration.
cachedContent	string	No	Cached content resource name.

cURL

curl "https://api.bianxie.ai/v1beta/models/your-model:generateContent" \
  -H "x-goog-api-key: API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [{
      "role": "user",
      "parts": [{"text": "Hello"}]
    }]
  }'

import requests
requests.post("https://api.bianxie.ai/v1beta/models/your-model:generateContent", headers={"x-goog-api-key":"API_KEY"}, json={"contents":[{"role":"user","parts":[{"text":"Hello"}]}]})

await fetch("https://api.bianxie.ai/v1beta/models/your-model:generateContent", { method: "POST", headers: { "x-goog-api-key": "API_KEY", "Content-Type": "application/json" }, body: JSON.stringify({ contents: [{ role: "user", parts: [{ text: "Hello" }] }] }) });

The response includes candidates[], promptFeedback, usageMetadata, modelVersion, and responseId. Candidates include content, finish reason, and safety ratings. This documented endpoint does not claim Gemini’s separate streaming path.