simple-infer 0.1.0

Minimal, hackable batch inference library for LLMs

simple-infer

Minimal, hackable batch inference library for LLMs. No batch endpoints needed.

Installation

pip install simple-infer

Usage

from simple_infer import infer

conversations = [
    [
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "What is the capital of France?"},
    ],
    [
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "What is 2+2?"},
    ]
]

results = infer(conversations, model="gpt-4.1-nano", max_concurrent=32)

Features

• Simple: Two main functions - infer() and call_llm()
• Fast: Async batch processing with configurable concurrency
• Reliable: Built-in retries with exponential backoff
• Hackable: Clean, readable code you can modify

Development

Setup

# Clone and install dependencies
uv sync --extra test --extra docs

# Copy environment template and add your OpenAI API key
cp .env.example .env
# Edit .env and add: OPENAI_API_KEY=your-key-here

Testing

# Run tests (requires OPENAI_API_KEY in environment)
export OPENAI_API_KEY=your-key-here
uv run pytest tests/ -v

# Or use .env file
uv run pytest tests/ -v