qageneratorllm 0.0.1

A Python package for generating questions and answers using various LLM providers.

QAGeneratorLLM

A Python package for generating questions and answers using various LLM providers.

Features

• Support for multiple LLM providers (Anthropic, Ollama, OpenAI, XAI)
• Generate both Multiple Choice Questions (MCQ) and Question-Answer (QA) pairs
• Structured output using Pydantic models
• Batch processing support
• File-based context input

Installation

pip install qageneratorllm

Usage

from qageneratorllm import ChatLLM, ChatLLMType, QuestionType

# Initialize with default settings (Ollama + QA format)
llm = ChatLLM()

# Generate QA from text
result = llm.invoke("Your context text here")

# Generate MCQ using OpenAI
llm = ChatLLM(chat_type=ChatLLMType.OPENAI, question_type=QuestionType.MCQ)
result = llm.invoke("Your context text here")

# Generate from file
result = llm.invoke_from_file("path/to/your/file.txt")

Environment Variables

• ANTHROPIC_MODEL_NAME: Anthropic model name (default: claude-3-sonnet-20240229)
• OLLAMA_MODEL_NAME: Ollama model name (default: deepseek-r1)
• OPENAI_MODEL_NAME: OpenAI model name (default: gpt-4)
• XAI_MODEL_NAME: XAI model name (default: grok-beta)

License

MIT