akenoai 1.6.4

AkenoAi Python Wrapper For Plus+

akenoai-lib

👑 Coding The End

@xpushz on (telegram) I Already Master King Python 👑

- Open source full soon! 🚀

• Note:
💡 Why Open Source Full?
I’m a developer who patiently and sincerely shares code, even for beginners.

💰 No Donations Needed!
If you’re a beginner and want to learn, just take the code.

~ Me Dead: thank you :) 🥀

🧠 Collaboration

• Can you collab? 🤝
• ✅ Yes, you can! Contact @xpushz for collaboration.
• 📌 How to Collab with AkenoX API:
• 1️⃣ Retrieve the API endpoint you want to use.
• 2️⃣ Send to @xpushz to request to create a custom API.
• 3️⃣ Get an endpoint like "custom/your-name-api".
• 4️⃣ Safe & reliable → Other people can use it without worrying about the API being lost!
• 🚀 Use AkenoX API for a more stable & searchable API solution!

installation

🔹 Recommended Installation:

✅ Install via PYPI for the latest updates. e.g.: pip3 install akenoai[fast]

✅ Install via github

• Create a requirements.txt file in the project root containing the following dependency to ensure you can install the GitHub version:
• git+https://github.com/TeamKillerX/akenoai-lib.git#egg=akenoai[fast]

FastAPI Demo

• Use main.py
• Try running python3 main.py

from akenoai.runner import run_fast

# run_fast initializes a FastAPI server with example routes and configurations.

run_fast()

Code examples

[!TIP] Trip PRO Usage Example:

• Use Access API key V2 Premium

from akenoai import AkenoXToJs

js = AkenoXToJs()

chat_history = [
    {"role": "User", "message": "hello world"},
    {"role": "Chatbot", "message": "Hello! How can I assist you today?"}
]

response = await js.randydev(
    "ai/cohere/command-plus",
    api_key="<your_api_key>",
    custom_dev_fast=True,
    query="what is AkenoX AI?",
    chatHistory=js.rjson_dumps(chat_history),
    system_prompt="You are a helpful AI assistant designed to provide clear and concise responses."
)

print(response)

🌐 Streamlit + AkenoX API

• installation: pip3 install akenoai[streamlit]

• You can use streamlit run app.py

• akenoai[fast] → no import Pyrogram error: There is no current event loop (Stuck in Streamlit)

• Full Example usage:

  Note: The import path changed from akenoai import AkenoXToJs to akenoai.streamlit import StreamlitToJs to clearly separate the streamlit integration functionality from the core API. The previous import path is now deprecated.

import requests
import json
import time
from akenoai.streamlit import StreamlitToJs as js

class GithubUsername:
    def __init__(self, username):
        self.username = username

    def get_github_data(self):
        req = requests.get(f"https://api.github.com/users/{self.username}").json()
        try:
            return req
        except Exception as e:
            base_msg = f"**Error!** \n\n**Traceback:** \n `{e}` \n\n`Make sure that you've sent the command with the correct username!`"
            return base_msg

js_st = js.stl()
js_st.title("Welcome to akenoai-lib APP")
js_st.write("Developed by RandyDev")
js_st.write("GitHub User Information")

with js_st.form("github"):
    username = js_st.text_input("Enter GitHub username:")
    submit_checkbox = js_st.checkbox("Allow users", value=False)
    submitted = js_st.form_submit_button("Submit")
    if submitted and submit_checkbox:
        js_st.spinner("Fetching GitHub data...")
        github_data = GithubUsername(username).get_github_data()
        if isinstance(github_data, dict):
            js_st.json(github_data)
        else:
            js_st.error(github_data)

js_st.title("Examples JSON by AkenoX API")

with js_st.form("json"):
    submitted = js_st.form_submit_button("Submit")
    if submitted:
        js_st.spinner("Loading......")
        try:
            js_st.json(
                js.no_async_randydev("json/all", is_obj=False)
            )
        except Exception as e:
            js_st.error(str(e))

js_st.title("ChatGPT AI")

with js_st.form("openai"):
    text = js_st.text_area('Enter text:', 'How to JavaScript code?')
    submitted = js_st.form_submit_button('Submit')
    placeholder = js_st.empty()
    free_api_key_on = js_st.toggle("Free API Key")
    if submitted:
        try:
            if free_api_key_on:
                with placeholder, js_st.spinner("Processing......"):
                    time.sleep(5)
                js_st.write(
                    js.no_async_randydev("ai/openai/gpt-old", is_obj=True, query=text).results
                )
                js_st.success("Join Channel Telegram : @RendyProjects")
            else:
                js_st.warning('Use button Free API Key', icon="⚠️")
        except Exception as e:
            js_st.error(str(e))

js.waifu_random()
js.hide_streamlit_watermark(unsafe_allow_html=True)

[!WARNING]

⚠️ Breaking Change ⚠️

Note: The import path has changed!

To better separate Streamlit integration from the core API, the import path has been updated:

❌ Deprecated: from akenoai import AkenoXToJs

✅ Use this instead: from akenoai.streamlit import StreamlitToJs

Make sure to update your imports to avoid issues. 🚀

• If using API [fast] for full-stack, move to akenoai.clients:

from akenoai.clients import create_pyrogram # Use [fast]

🚀 Super-Fast Performance

Use AkenoX API + FastAPI

[!WARNING] AkenoX API may block access if there are too many spam requests! 🚨

Always use rate limiting

from akenoai import AkenoXToJs
from akenoai.runner import run_fast

js = AkenoXToJs()
fast_app = js.get_app()
js.add_cors_middleware()

@fast_app.get("/api/cohere")
async def cohere(query: str):
    return await js.randydev(
        "ai/cohere/command-plus",
        api_key="<your_api_key>",
        custom_dev_fast=True,
        query=query,
        chatHistory=[],
        system_prompt="You are a helpful AI assistant designed to provide clear and concise responses."
    )

@fast_app.get("/test")
async def example_json():
    async with js.fasthttp().ClientSession() as session:
        async with session.get("https://jsonplaceholder.typicode.com/todos/1") as response:
            title = js.dict_to_obj(await response.json()).title
    return {"message": title}

run_fast(build=fast_app)

🛠️ Custom OpenAI

from akenoai import AkenoXToJs

js = AkenoXToJs()

fast_app = js.get_app()

js.custom_openapi(
    app=fast_app,
    logo_url="https://github-production-user-asset-6210df.s3.amazonaws.com/90479255/289277800-f26513f7-cdf4-44ee-9a08-f6b27e6b99f7.jpg",
    title="AkenoX Beta AI API",
    version="1.0.0",
    summary="Use It Only For Personal Projects",
    description="Free API By akenoai-lib",
    routes=fast_app.routes,
)

🥷 Full-Stack Examples

• Powerful & Super Fast Performance
• Recommended RAM: 8GB / 16GB
• Supports bot_token & session_string
• Custom Web Frontend with HTML & CSS

import logging
from akenoai import AkenoXToJs
from akenoai.runner import run_fast
from akenoai.clients import create_pyrogram

js = AkenoXToJs()

logger = logging.getLogger(__name__)
LOGS = logging.getLogger("[akenox]")
logger.setLevel(logging.DEBUG)

from akenoai.models import BaseModel

class Items(BaseModel):
    message: str

fast_app = js.get_app()
js.add_cors_middleware()

assistant = create_pyrogram(
    name="fastapi-bot",
    api_id=1234,
    api_hash="asdfghkl",
    bot_token="1235:asdfh"
)

user_client = create_pyrogram(
    name="fastapi-user",
    api_id=1234,
    api_hash="asdfghkl",
    session_string="session"
)

@fast_app.on_event("startup")
async def startup_event():
    bot = await assistant.start()
    user = await user_client.start()
    LOGS.info(f"Started UserBot & Assistant: {user.me.first_name} || {bot.me.first_name}")

@fast_app.get("/api/cohere")
async def cohere(query: str):
    return await js.randydev(
        "ai/cohere/command-plus",
        api_key="<your_api_key>",
        custom_dev_fast=True,
        query=query,
        chatHistory=[],
        system_prompt="You are a helpful AI assistant designed to provide clear and concise responses."
    )

@fast_app.get("/item")
async def example_test(item: Items):
    return {"message": item.message}

@fast_app.get("/test")
async def example_json():
    async with js.fasthttp().ClientSession() as session:
        async with session.get("https://jsonplaceholder.typicode.com/todos/1") as response:
            title = js.dict_to_obj(await response.json()).title
    return {"message": title}

@fast_app.get("/api/tg/send_message")
async def send_message(text: str, chat_id: str):
    response_json = await client.send_message(chat_id, text)
    return {"message_id": response_json.id}

js.custom_openapi(
    app=fast_app,
    logo_url="https://github-production-user-asset-6210df.s3.amazonaws.com/90479255/289277800-f26513f7-cdf4-44ee-9a08-f6b27e6b99f7.jpg",
    title="AkenoX Beta AI API",
    version="1.0.0",
    summary="Use It Only For Personal Project",
    description="Free API By akenoai-lib",
    routes=fast_app.routes,
)

run_fast(build=fast_app)

• Use API Key V1 Free

from akenoai import AkenoXToJs

js = AkenoXToJs()

response = await js.randydev(
    "ai/openai/gpt-old",
     custom_dev_fast=True,
     query="hello world"
)
print(response)

Output:

{'results': 'Deepseek is a Chinese company that specializes in underwater robotics and autonomous underwater vehicles. They provide solutions for underwater exploration and research, as well as services for inspecting and maintaining underwater infrastructure. Their technology is used in various industries including marine science, aquaculture, and offshore energy.\n\nPowered By xtdevs'}

🔹 Method Definition:

• Parameters:
• endpoint: The API endpoint to call.
• api_key: (Optional) API key for authentication.
• post: Boolean flag to indicate POST requests.
• is_obj: Boolean flag indicating whether the response should be returned as a Python object (True) or in the default format (False).
• custom_dev_fast: Boolean flag defaults to None
• **params: Allows passing additional parameters as a dictionary, which will be sent as JSON.

randydev(endpoint, api_key=None, post=False, is_obj=False, custom_dev_fast=False, **params)

🔹 User Creation Date:

import os
from akenoai import AkenoXToJs

js = AkenoXToJs()

response = await js.randydev(
    "user/creation-date",
    custom_dev_fast=True,
    user_id=client.me.id
)
return response

🔑 API Key

[!NOTE] How to Get an API Key for AkenoX API?

Different V1 Free and V2 Access Premium

You can set up your API key using environment variables:

AKENOX_KEY=akeno_xxxxxx

• To get an API key, @aknuserbot

• 🚀 Thank you to our 2.7 million users per request!

⚠️ Problem Double Fix:

🛠️ Double Fix for Connection Issues

• ❌ Cannot connect to host
• 🚫 IP address blocked issue
• 🌐 Different DNS settings

from akenoai import AkenoXToJs

js = AkenoXToJs()

proxy_url = "http://PROXY.YOUR-SERVER.COM:8080"

return await js.randydev(
    "ai/openai/gpt-old",
    api_key="akeno_xxxxxxx",
    proxy_url=proxy_url,  # Use proxy if needed
    post=False,
    custom_dev_fast=True
)

---

📌 Custom API endpoints

Feature	Itzpire API (Proxy Required)	AkenoX API (No Proxy)
API Key	❌ Not required	✅ Required
Speed	⚠️ Slower (Proxy used)	🚀 Fast (Direct request)
Stability	✅ Works even if blocked	✅ Stable & optimized
Use Case	🔄 Bypassing restrictions	⚡ Direct & fast access
IP Ban Status	🚷 IP address has been banned.	✅ IP address not banned
Rate Limit	✅ Unlimited	⏳ 100 requests per minute
Network	❌ No Limits	✅ Limited Network access
Custom Public Url	https://itzpire.com	✅ Default

---

---

Feature	OpenAI	Deepseek
API Key	✅ Required	✅ Required
Speed	?	?
Stability	✅ Stable & optimized	✅ Stable & optimized
Use Case	?	?
IP Ban Status	?	?
Rate Limit	?	?
Network	?	?
Custom Public Url	https://api.openai.com/v1	https://api.deepseek.com/v1

---

❤️ Special Thanks To

• Kurigram
• FastAPI

Contributing

If you find a bug or have a feature request, please open an issue on our GitHub repository.

We welcome contributions from the community. If you'd like to contribute, please fork the repository and submit a pull request.

License

TeamKillerX is licensed under GNU Affero General Public License v3 or later.

Copyright (C) 2019 - 2025 The AkenoAI TeamKillerX @xtdevs

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Project akenoai-lib is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.