About Us

Available Models

Model Name	Type	Description	Supports Image?
Qwen	Text	Advanced coding, math, and reasoning	No
Gemini Flash	Text & Vision	Logic, reasoning, general tasks, images	Yes
Codestral	Text	High-performance code generation	No
DeepSeek V3	Text	General-purpose, reasoning, conversation	No
Claude 3 Haiku (beta)	Text & Vision	Fast, affordable, supports image input	Yes

Text Model API Usage

Text models are ideal for chat, code, math, and reasoning tasks. They do not accept images. Use these models for pure text-based interactions.

# systemPrompt is required. Leave it blank ("") for default, or fill in your own.

curl -X POST \
  https://backend.aikipedia.workers.dev/chat \
  -H 'Content-Type: application/json' \
  -d '{
    "user_id": "your_user_id",
    "message": "your_message",
    "model": "qwen/qwen-2.5-coder-32b-instruct",
    "history": [],
    "systemPrompt": ""
}'

import requests

response = requests.post(
  "https://backend.aikipedia.workers.dev/chat",
  json={
    "user_id": "your_user_id",
    "message": "your_message",
    "model": "qwen/qwen-2.5-coder-32b-instruct",
    "history": [],
    "systemPrompt": "" # systemPrompt is required; leave blank for default or fill in your own
  }
)
print(response.json())

fetch("https://backend.aikipedia.workers.dev/chat", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    user_id: "your_user_id",
    message: "your_message",
    model: "qwen/qwen-2.5-coder-32b-instruct",
    history: [],
    systemPrompt: ""
  })
})
.then(res => res.json())
.then(console.log);

const axios = require("axios");

axios.post("https://backend.aikipedia.workers.dev/chat", {
  user_id: "your_user_id",
  message: "your_message",
  model: "qwen/qwen-2.5-coder-32b-instruct",
  history: [],
  systemPrompt: ""
}).then(res => console.log(res.data));

package main

import (
  "bytes"
  "encoding/json"
  "net/http"
  "fmt"
)

func main() {
  payload := map[string]interface{}{
    "user_id": "your_user_id",
    "message": "your_message",
    "model": "qwen/qwen-2.5-coder-32b-instruct",
    "history": []string{},
    "systemPrompt": ""
  }
  jsonData, _ := json.Marshal(payload)
  resp, _ := http.Post("https://backend.aikipedia.workers.dev/chat", "application/json", bytes.NewBuffer(jsonData))
  fmt.Println(resp.Status)
}

HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
  .uri(URI.create("https://backend.aikipedia.workers.dev/chat"))
  .header("Content-Type", "application/json")
  .POST(HttpRequest.BodyPublishers.ofString("{\"user_id\":\"your_user_id\",\"message\":\"your_message\",\"model\":\"qwen/qwen-2.5-coder-32b-instruct\",\"history\":[],\"systemPrompt\":\"\"}"))
  .build();

HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

<?php
$payload = json_encode([
  "user_id" => "your_user_id",
  "message" => "your_message",
  "model" => "qwen/qwen-2.5-coder-32b-instruct",
  "history" => [],
  "systemPrompt" => ""
]);

$options = [
  'http' => [
    'header'  => "Content-type: application/json\r\n",
    'method'  => 'POST',
    'content' => $payload,
  ],
];

$context  = stream_context_create($options);
$result = file_get_contents("https://backend.aikipedia.workers.dev/chat", false, $context);
echo $result;
?>

require 'net/http'
require 'json'

uri = URI('https://backend.aikipedia.workers.dev/chat')
res = Net::HTTP.post(uri, {
  user_id: "your_user_id",
  message: "your_message",
  model: "qwen/qwen-2.5-coder-32b-instruct",
  history: [],
  systemPrompt: ""
}.to_json, "Content-Type" => "application/json")

puts res.body

using System.Net.Http;
using System.Text;
using System.Text.Json;

var client = new HttpClient();
var content = new StringContent(JsonSerializer.Serialize(new {
  user_id = "your_user_id",
  message = "your_message",
  model = "qwen/qwen-2.5-coder-32b-instruct",
  history = new string[] {},
  systemPrompt = ""
}), Encoding.UTF8, "application/json");

var response = await client.PostAsync("https://backend.aikipedia.workers.dev/chat", content);
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);

Vision Model API Usage

Vision models support both text and image input. Use these models to send images along with your message. Only Gemini Flash and Claude 3 Haiku currently support images.

# systemPrompt is required. Leave it blank ("") for default, or fill in your own.

curl -X POST \
  https://backend.aikipedia.workers.dev/chat \
  -H 'Content-Type: application/json' \
  -d '{
    "user_id": "your_user_id",
    "message": "Describe this image",
    "model": "google/gemini-2.5-flash-preview",
    "image_url": "https://your-uploaded-image-url",
    "history": [],
    "systemPrompt": ""
}'

import requests

response = requests.post(
  "https://backend.aikipedia.workers.dev/chat",
  json={
    "user_id": "your_user_id",
    "message": "Describe this image",
    "model": "google/gemini-2.5-flash-preview",
    "image_url": "https://your-uploaded-image-url",
    "history": [],
    "systemPrompt": "" # systemPrompt is required; leave blank for default or fill in your own
  }
)
print(response.json())

fetch("https://backend.aikipedia.workers.dev/chat", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    user_id: "your_user_id",
    message: "Describe this image",
    model: "google/gemini-2.5-flash-preview",
    image_url: "https://your-uploaded-image-url",
    history: [],
    systemPrompt: ""
  })
})
.then(res => res.json())
.then(console.log);

const axios = require("axios");

axios.post("https://backend.aikipedia.workers.dev/chat", {
  user_id: "your_user_id",
  message: "Describe this image",
  model: "google/gemini-2.5-flash-preview",
  image_url: "https://your-uploaded-image-url",
  history: [],
  systemPrompt: ""
}).then(res => console.log(res.data));

package main

import (
  "bytes"
  "encoding/json"
  "net/http"
  "fmt"
)

func main() {
  payload := map[string]interface{}{
    "user_id": "your_user_id",
    "message": "Describe this image",
    "model": "google/gemini-2.5-flash-preview",
    "image_url": "https://your-uploaded-image-url",
    "history": []string{},
    "systemPrompt": ""
  }
  jsonData, _ := json.Marshal(payload)
  resp, _ := http.Post("https://backend.aikipedia.workers.dev/chat", "application/json", bytes.NewBuffer(jsonData))
  fmt.Println(resp.Status)
}

HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
  .uri(URI.create("https://backend.aikipedia.workers.dev/chat"))
  .header("Content-Type", "application/json")
  .POST(HttpRequest.BodyPublishers.ofString("{\"user_id\":\"your_user_id\",\"message\":\"Describe this image\",\"model\":\"google/gemini-2.5-flash-preview\",\"image_url\":\"https://your-uploaded-image-url\",\"history\":[],\"systemPrompt\":\"\"}"))
  .build();

HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

<?php
$payload = json_encode([
  "user_id" => "your_user_id",
  "message" => "Describe this image",
  "model" => "google/gemini-2.5-flash-preview",
  "image_url" => "https://your-uploaded-image-url",
  "history" => [],
  "systemPrompt" => ""
]);

$options = [
  'http' => [
    'header'  => "Content-type: application/json\r\n",
    'method'  => 'POST',
    'content' => $payload,
  ],
];

$context  = stream_context_create($options);
$result = file_get_contents("https://backend.aikipedia.workers.dev/chat", false, $context);
echo $result;
?>

require 'net/http'
require 'json'

uri = URI('https://backend.aikipedia.workers.dev/chat')
res = Net::HTTP.post(uri, {
  user_id: "your_user_id",
  message: "Describe this image",
  model: "google/gemini-2.5-flash-preview",
  image_url: "https://your-uploaded-image-url",
  history: [],
  systemPrompt: ""
}.to_json, "Content-Type" => "application/json")

puts res.body

using System.Net.Http;
using System.Text;
using System.Text.Json;

var client = new HttpClient();
var content = new StringContent(JsonSerializer.Serialize(new {
  user_id = "your_user_id",
  message = "Describe this image",
  model = "google/gemini-2.5-flash-preview",
  image_url = "https://your-uploaded-image-url",
  history = new string[] {},
  systemPrompt = ""
}), Encoding.UTF8, "application/json");

var response = await client.PostAsync("https://backend.aikipedia.workers.dev/chat", content);
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);