akenoai 1.5.6

AkenoAi Python Wrapper For Plus+

akenoai-lib

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

import json
from akenoai import AkenoXToJs

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

response = await AkenoXToJs.randydev(
    "ai/cohere/command-plus",
    api_key="<your_api_key>",
    custom_dev_fast=True,
    query="what is AkenoX AI?",
    chatHistory=json.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)

• 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.

from akenoai.streamlit import StreamlitToJs as js

js_st = js.stl()
js_st.title("Welcome to akenoai-lib APP")
js_st.write("Developed by RandyDev")
js_st.write("Example JSON")

with js_st.form("json"):
    submitted = js_st.form_submit_button("Submit")
    if submitted:
        js_st.spinner("Fetching data...")
        js_st.json(
            js.no_async_randydev("json/all", post=False, is_obj=False)
        )

js.hide_streamlit_watermark(unsafe_allow_html=True)

• 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 as js
from akenoai.runner import run_fast

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 as js

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 as js
from akenoai.runner import run_fast
from akenoai.clients import create_pyrogram

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

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("/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

response = await AkenoXToJs.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

response = await AkenoXToJs.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

❤️ 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/.