pagans 0.1.4

Prompts Aligned to Guidelines and Normalization System for OpenAI, Anthropic, xAI, and Google models

PAGANS - Prompt Optimization Framework

PAGANS (Prompts Aligned to Guidelines and Normalization System) is a prompt optimization framework for LLM applications. It adapts prompts to the target model family automatically so the same prompt can perform better across OpenAI, Anthropic, Google, and xAI model series.

Features

• Fast prompt optimization for production workflows
• Family-aware optimization for OpenAI, Anthropic, Google, and xAI models
• Automatic model-family detection from short and provider-prefixed names
• Async-first API for single, compare, and batch operations
• Built-in caching to reduce repeated optimization cost
• CLI support for optimize, compare, and batch workflows
• Optimizer provider support for OpenRouter, OpenAI, Google AI Studio, Anthropic, and Z.ai

Installation

pip install pagans

Quick Start

import asyncio

from pagans import PAGANSOptimizer, Provider


async def main() -> None:
    async with PAGANSOptimizer(provider=Provider.OPENROUTER) as optimizer:
        result = await optimizer.optimize(
            prompt="Write a robust retry policy for external API calls.",
            target_model="openai/gpt-4o",
        )
        print(result.optimized)


asyncio.run(main())

Provider Configuration

Set one provider key (or pass api_key and base_url explicitly).

# OpenRouter
export OPENROUTER_API_KEY="your-openrouter-api-key"
export OPENROUTER_BASE_URL="https://openrouter.ai/api/v1"

# OpenAI
export OPENAI_API_KEY="your-openai-api-key"
export OPENAI_BASE_URL="https://api.openai.com/v1"

# Google AI Studio (Gemini OpenAI-compatible endpoint)
export GOOGLE_API_KEY="your-gemini-api-key"
export GOOGLE_BASE_URL="https://generativelanguage.googleapis.com/v1beta/openai"

# Anthropic
export ANTHROPIC_API_KEY="your-anthropic-api-key"
export ANTHROPIC_BASE_URL="https://api.anthropic.com/v1"

# Z.ai
export ZAI_API_KEY="your-zai-api-key"
export ZAI_BASE_URL="https://api.z.ai/api/paas/v4"

# Optional global override for optimizer model
export PAGANS_OPTIMIZER_MODEL="openai/gpt-4o-mini"

Python Provider Examples

from pagans import PAGANSOptimizer, Provider

# OpenAI as optimizer provider
optimizer = PAGANSOptimizer(provider=Provider.OPENAI)

# Google AI Studio as optimizer provider
optimizer = PAGANSOptimizer(provider=Provider.GOOGLE)

# Anthropic as optimizer provider
optimizer = PAGANSOptimizer(provider=Provider.ANTHROPIC)

# Z.ai as optimizer provider
optimizer = PAGANSOptimizer(provider=Provider.ZAI)

CLI

PAGANS installs a CLI as pagans.

pagans --provider openrouter optimize \
  --prompt "Explain quantum computing for beginners" \
  --target-model gpt-4o

pagans --provider openai compare \
  --prompt "Design an event-driven order system" \
  --models "gpt-4o,claude-sonnet-4,gemini-2.5-pro"

pagans --provider anthropic batch \
  --prompts-file ./prompts.txt \
  --target-model gemini-2.5-pro

Model Family Series

PAGANS optimizes prompts for these model families and series:

• OpenAI GPT series
• Anthropic Claude series
• Google Gemini series
• xAI Grok series

PAGANS detects the target model family and applies the matching optimization strategy automatically.

Notebooks

Provider notebook examples are available in notebooks/:

• pagans_quickstart.ipynb
• pagans_openrouter_optimizer.ipynb
• pagans_openai_optimizer.ipynb
• pagans_google_optimizer.ipynb
• pagans_anthropic_optimizer.ipynb
• pagans_zai_optimizer.ipynb

Links

• Source: https://github.com/abubakarsiddik31/pagans
• Issues: https://github.com/abubakarsiddik31/pagans/issues

License

MIT