📸 Ryzenth API Image Generations

You can use:
POST https://api.ryzenths.dpdns.org/api/v3/images/snaken/generations

Body (required): input
Headers (required): x-solo-developer, x-you-anywhere-from-ryzenth

Response:

{
  "success": true,
  "task_id": "4704be54-b4d9-43cf-bf33-3b6fdea5c399",
  "task_status": "pending"
}

🔄 Polling Task Status

GET https://api.ryzenths.dpdns.org/api/v3/images/snaken/generations/{uuid}

Task Status:
running: task is being processed
cancel: task canceled
failed: Task failed
completed: task completed

Example Python Code:

from Ryzenth.helper import to_buffer
import asyncio
import requests

async def get_image():
    while True:
        responseTask = requests.get(
            "https://api.ryzenths.dpdns.org/api/v3/images/snaken/generations/4704be54-b4d9-43cf-bf33-3b6fdea5c399"
        ).json()

        if responseTask["task_status"] == "completed":
            img = to_buffer(responseTask["base64_json"], return_image_base64=True)
            return img

        if responseTask["task_status"] == "cancel":
            raise Exception("Task exceeded cancel")
            break

        if responseTask["task_status"] == "failed":
            raise Exception("Task exceeded failed")
            break

        await asyncio.sleep(1.0)

    raise Exception("Task polling exceeded maximum retries")

⚡ Beta Endpoint:
POST https://api.ryzenths.dpdns.org/api/v1/images/beta/generations

Body (required): prompt
Headers (required): same as above

Response: immediately return image content (standard resolution, ±5 seconds processing).

TEXT-TO-VIDEO (New)

You can access the endpoint:

https://api.ryzenths.dpdns.org/api/v3/{type}/snaken/generations

with the type parameter being images or videos.

model takes about 1 to 2 minutes to process a task, while previous models usually take more than 2 minutes. Use a polling mechanism with a reasonable query interval, such as 15 seconds, to retrieve the results.

Each task_id is valid for 24 hours. After this period, you can no longer query the result. The system returns the task status as cancel

Code: https://t.me/+ZPXtrETLhMQzMzVl

Examples full code:

from Ryzenth.helper import to_buffer
import asyncio
import requests

response = requests.post(
    "https://api.ryzenths.dpdns.org/api/v3/images/snaken/generations",
    headers={
        "x-solo-developer": "userid:1191668125",
        "x-you-anywhere-from-ryzenth": "true"
    },
    json={
        "input": "........"
    },
    timeout=30
).json()

task_id = response["task_id"]
while True:
    responseTask = requests.get(
        f"https://api.ryzenths.dpdns.org/api/v3/images/snaken/generations/{task_id}"
    ).json()
    if responseTask["success"]:
        if responseTask["task_status"] == "completed":
            img = to_buffer(responseTask["base64_json"], return_default_base64=True) # Update Ryzenth lib from GitHub (use return_default_base64 instead of return_image_base64) support filename="something.mp4"

            return img # get jpg

    else:
        if responseTask["task_status"] == "cancel" or responseTask["task_status"] == "failed":
            raise Exception(f"Task exceeded: {task_id}")
            break
    await asyncio.sleep(1.0)

raise Exception("Task polling exceeded")

Javascript pro ❌
Typescript interface hacked ✅ ☠️

You can also use Ryzenth via OpenAI compatible API

Don't like the Ryzenth Multi API SDK? Don't worry, we support OpenAI compatible formats too.

Examples code:

from openai import OpenAI

clients = OpenAI(
    api_key="ryzenth-free",
    base_url="https://api.ryzenths.dpdns.org/api/v1",
)
completion = clients.chat.completions.create(
    model="moonshotai/kimi-k2-instruct",  
    messages=[
        {'role': 'system', 'content': 'You are a helpful assistant'},
        {'role': 'user', 'content': 'Who are you?'}
    ]
)

print(completion.choices[0].message.content)

Result: Ryzenth models will run like the regular OpenAI API without the need for major code changes

You can get GPT-5 power directly with Ryzenth ⚡

You can also use the chat.completions style API with OpenAI’s Python SDK. Just point the base URL to Ryzenth

from openai import OpenAI

clients = OpenAI(
    api_key="ryzenth-free",
    base_url="https://api.ryzenths.dpdns.org/api/v1",
)

response = clients.responses.create(
    model="gpt-5",
    input=[
        {
            "role": "developer",
            "content": "Talk like a pirate."
        },
        {
            "role": "user",
            "content": "Are semicolons optional in JavaScript?",
        }
    ]
)

print(response.output_text)

You can use typescript/javascript

import OpenAI from 'openai';

const clients = new OpenAI({
  apiKey: "ryzenth-free",
  baseURL: "https://api.ryzenths.dpdns.org/api/v1"
});

const response = await clients.responses.create({
  model: 'gpt-5',
  input: [
    {
      role: "developer",
      content: "Talk like a pirate."
    },
    {
      role: "user",
      content: "Are semicolons optional in JavaScript?",
    }
  ]
});

const completion = await clients.chat.completions.create({
  model: 'moonshotai/kimi-k2-instruct',
  messages: [
    { role: 'system', content: 'Talk like a pirate.' },
    { role: 'user', content: 'What your name?' },
  ],
});

console.log(completion.choices[0].message.content);
console.log(response.output_text);

Typescript interface is crazy 😂☠️

Very hard
if (something) {} else if (something) {} else { return "LOL 🗿" }

Same python code easy
if something:
pass
elif something:
pass
else:
return "LOL 🗿"

Wkwkwk 😂

Gue udah beres nih, bukan sok jago 😎

Ryzenth sekarang support:
Chat Completions: https://api.ryzenths.dpdns.org/api/v1/chat/completions
Responses API: https://api.ryzenths.dpdns.org/api/v1/responses

Examples output:

{
    "id": "resp_01k5ee1bx7fpnr32kmpzka5ks1",
    "object": "response",
    "status": "completed",
    "created_at": 1758199852,
    "output": [
        {
            "type": "reasoning",
            "id": "resp_01k5ee1bx7fpp8b19xgcd5ms87",
            "status": "completed",
            "summary": []
        },
        {
            "type": "message",
            "id": "msg_01k5ee1bx7fppvzbc91r1gm2m9",
            "status": "completed",
            "role": "assistant",
            "content": [
                {
                    "type": "output_text",
                    "text": "I'm an artificial intelligence model known as Llama. Llama stands for \"Large Language Model Meta AI.\"",
                    "annotations": [],
                    "logprobs": null
                }
            ]
        }
    ],
    "previous_response_id": null,
    "model": "llama-3.3-70b-versatile",
    "reasoning": {
        "effort": "medium"
    },
    "max_output_tokens": null,
    "text": {
        "format": {
            "type": "text"
        }
    },
    "tools": [],
    "tool_choice": "auto",
    "truncation": "disabled",
    "metadata": {},
    "temperature": 1,
    "top_p": 1,
    "user": null,
    "service_tier": "default",
    "background": false,
    "error": null,
    "incomplete_details": null,
    "usage": {
        "input_tokens": 39,
        "input_tokens_details": {
            "cached_tokens": 0,
            "reasoning_tokens": 0
        },
        "output_tokens": 23,
        "output_tokens_details": {
            "cached_tokens": 0,
            "reasoning_tokens": 0
        },
        "total_tokens": 62
    },
    "parallel_tool_calls": true,
    "store": false,
    "top_logprobs": 0,
    "max_tool_calls": null
}

FREE UNLOCK BY RYZENTH

Endpoints responses: https://api.ryzenths.dpdns.org/api/v1/responses

List models:
1. llama-3.3-70b-versatile (speed recommend)
2. gpt-5
3. gpt-5-mini
4. gpt-5-nano

Endpoints completions: https://api.ryzenths.dpdns.org/api/v1/chat/completions

List models:
1. qwen-plus
2. openai/gpt-oss-20b
3. moonshotai/kimi-k2-instruct (speed recommend)
4. meta-llama/llama-guard-4-12b
5. meta-llama/llama-4-scout-17b-16e-instruct

Endpoints images/videos generations:
https://api.ryzenths.dpdns.org/api/v3/{type}/snaken/generations

Written by Rendy:
Gua solo sendiri aja bisa cepet.
Lu malah bikin grup jadi tempat ngemis code.

Bedanya kita:
- Gua baca docs
– Lu baca chat doang

Skill lu bakal mandek kalo cuma modal copas doang. Capek deh…

P.S:
Gua bukan dukun coding, goblok!
Search dulu, baru nanya!

Custom models:
1. ryzenth-ingalesh
2. ryzenth-darknet
3. ryzenth-ultraCEO
4. ryzenth-otakuAI

Examples code:

response = clients.responses.create(
    model="ryzenth-ingalesh",
    input="kamu siapa?"
)

print(response.output_text)

Code: https://t.me/c/1558215042/3462

📝 Changelog – Ryzenth API

Date: 2025-09-19

🥷 Added
New Endpoint: /api/v1/search-darknet

Allows searching of darknet content with the include_answer option for concise answers.
New Models (Multi API) in chat.completions:
- ryzenth-web-compatibility
- gemini-2.0-flash

🛠 Improvements
Improved API compatibility for faster, more relevant search results.
More consistent JSON output format (including answer, images, and results).

Examples code

import requests, json

url = "https://api.ryzenths.dpdns.org/api/v1/search-darknet"
headers = {"content-type": "application/json"}
payload = {
    "query": "What this TeamKillerX Ryzenth on Github",
    "include_answer": "basic"
}

resp = requests.post(url, headers=headers, json=payload)
print(json.dumps(resp.json(), indent=4))

Example output

{
    "query": "What this TeamKillerX Ryzenth on Github",
    "follow_up_questions": null,
    "answer": "TeamKillerX's Ryzenth is a powerful Multi-API SDK for handling API keys and database connections easily. It was last updated in 2023. The project is active on GitHub.",
    "images": [],
    "results": [
        {
            "url": "......",
            "title": ".....",
            "content": "TeamKillerX/Ryzenth.Ryzenth is a powerful Multi-API SDKdesigned to seamlessly handle API keys and database connections with ease. Read first https",
            "score": 0.83742094,
            "raw_content": null
        },
......
}

Sc: https://github.com/TeamKillerX/Ryzenth#openai-compatibility

FAQ: https://github.com/TeamKillerX/Ryzenth#frequently-asked-questions

Thanks bye 😎

Gemini PRO 1 year Free trick hack

#Student #Hack #By @zxyeor

🎓 How to Get Google AI Pro 1 Year Free

Disclaimer: This content is for educational purposes only. Use at your own risk. This channel does not promote or guarantee any method.

🔗 Tools & Links
VPN: SuperVPN
Step 1: Google AI Student Offer
Step 2: Random Name Generator (Hindi)
Step 3: Random Indian Phone Generator

🪪 Student ID Card Maker (Canvas Idea)
School Name: Ink Art Motion School, Pathanamthitta
Your Own Logo: (Upload your logo)
Profile Photo: (Use fake people generator if needed)
Fill the card with:
Name: (Use name from Step 2)
Class: Art
Roll Number: Random 8 digits
Date of Birth: Random
Address: Pathanamthitta
Mobile: Use number from Step 3
Email Address: mx.<roll>@edu.acc.in

⚠️ Notes
This is just an example flow results not guaranteed.
Don’t spam or repeat attempts excessively (max 1 try).

#Tutorial #HackBest #By @zxyeor

Ok soon🗿

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https://t.me/c/1558215042/3473

You can convert code easily to Python with Ryzenth API

import requests

url = "https://api.ryzenths.dpdns.org/api/v1/convert-code-ai"

text = """
curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H 'Content-Type: application/json' \
  -X POST \
  -d '{
    "contents": [
      {
        "parts": [
          {
            "text": "Explain how AI works in a few words"
          }
        ]
      }
    ]
  }'
"""

headers = {
    "content-type": "application/json",
}
payload = {
    "code": text,
    "languages": "python"
}

resp = requests.post(url, headers=headers, json=payload, timeout=30)
resp.raise_for_status()

response_json = resp.json()
print(response_json["answer"])

Example output AI:

import os, requests, json

url = "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent"
headers = {
    "x-goog-api-key": os.getenv("GEMINI_API_KEY"),
    "Content-Type": "application/json"
}
payload = {
    "contents": [{
        "parts": [{"text": "Explain how AI works in a few words"}]
    }]
}

response = requests.post(url, headers=headers, data=json.dumps(payload))
response.raise_for_status()
print(response.json())