vaklm was created to simplify intecctions with OpenAI-compatible APIs, providing a cleaner alternative to the verbose client.chat.completions.create pattern. This Python client offers a more intuitive interface while adding valuable reasoning capabilities to API responses.

vaklm is designed to make working with AI APIs more efficient and developer-friendly, providing an easy way to interact with OpenAI-compatible API endpoints while supporting reasoning capabilities.

Installation

pip install vaklm

Usage

Basic Usage

from vaklm import vaklm, VAKLMException

try:
    content, reasoning = vaklm(
        endpoint="http://localhost:11434/v1/chat/completions",
        model_name="llama3.2:latest",
        user_prompt="Explain quantum computing in simple terms",
        system_prompt="You are a helpful AI assistant",
        api_key="YOUR_API_KEY",
        temperature=0.7
    )
    print("Content:", content)
    print("Reasoning:", reasoning)
except VAKLMException as e:
    print(f"Error: {str(e)}")

Streaming Usage

from vaklm import vaklm

print("\nStreaming example:")
try:
    for content, reasoning in vaklm(
        endpoint="http://localhost:11434/v1/chat/completions",
        model_name="llama3.2:latest",
        user_prompt="Write a short story about a cat.",
        system_prompt="You are a creative writer.",
        api_key="YOUR_API_KEY",
        stream=True,
        temperature=0.7
    ):
        print(content, end='', flush=True)
        if reasoning:
            print(f"\n[Reasoning: {reasoning}]")
except VAKLMException as e:
    print(f"Error: {str(e)}")

Features

• Supports both streaming and non-streaming responses
• Includes reasoning content in responses
• Automatic retry logic for failed requests
• Configurable temperature and max tokens
• System prompt support for context setting
• Comprehensive error handling

Configuration

The vaklm function accepts the following parameters:

• endpoint: API endpoint URL (required)
• model_name: Model identifier (required)
• user_prompt: User’s input message (required)
• system_prompt: Optional system context message
• api_key: API key for authentication
• stream: Whether to stream the response (default: False)
• temperature: Sampling temperature (0-2, default: 1.0)
• max_tokens: Maximum tokens to generate
• timeout: Request timeout in seconds (default: 30)
• max_retries: Maximum retry attempts (default: 3)
• retry_delay: Base delay between retries (default: 1.0)

Error Handling

The client raises VAKLMException for general errors, with specific subclasses:

• APIError: For API-specific errors
• StreamingError: For streaming-specific errors

Always wrap calls in try/except blocks to handle potential errors.

vaklm provides a cleaner, more intuitive way to work with OpenAI-compatible APIs while adding valuable reasoning capabilities. By simplifying the API interaction pattern and adding features like automatic retries and streaming support, VAKLM helps developers focus on building great AI-powered applications rather than wrestling with API boilerplate. Give it a try in your next project and experience the difference!