AI/ML API library for a simple and seamless connection to AI/ML services.
Project description
AI/ML API Python library
The AI/ML Python library provides convenient access to the AI/ML API.
(Currently, only chat completion and embeddings are supported. If you'd like to help improve this library, feel free to join our Discord)
Documentation
Getting started with the AI/ML API is simple. Follow these steps to set up your integration:
1. Get Your API Key
To begin, you need an API key. You can obtain yours here:
🔑 Get Your API Key
2. Explore Available Models
Looking for a different model? Browse the full list of supported models:
📚 Full List of Models
3. Read the Documentation
For detailed setup instructions and usage guidelines, refer to the official documentation. If you’d like to get started quickly, check out our examples below.
And don’t forget the first step—you’ll need an API key! ^^
📖 AI/ML API Docs
4. Need Help?
If you have any questions, feel free to reach out. We’re happy to assist! 🚀 Discord
Installation
After obtaining your API key, create an .env file and copy the required contents into it.
touch .env
Then, copy the code below, paste it into your .env file, and set your API key to AIML_API_KEY="".
AIML_API_KEY = ""
AIML_API_URL = "https://api.aimlapi.com/v1"
Install aiml_api package
# install from PyPI
pip install aiml_api
Usage
from aiml_api import AIML_API
api = AIML_API()
completion = api.chat.completions.create(
model="mistralai/Mistral-7B-Instruct-v0.2",
messages=[
{"role": "user", "content": "Explain the importance of low-latency LLMs"},
],
temperature=0.7,
max_tokens=256,
)
response = completion.choices[0].message.content
print("AI:", response)
Running the Script
To execute the script, use:
python3 <your_script_name>.py
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