Promptulate is a Python framework for developing AI agent applications, designed for ease of use and rapid prototyping. It targets developers building LLM-powered applications, offering a concise, Pythonic interface to manage LLMs, agents, and tools, significantly lowering the barrier to entry for complex AI agent development.

How It Works

Promptulate's core philosophy is to simplify LLM application development through a unified, Pythonic SDK, primarily centered around the pne.chat() function. It leverages litellm for broad model compatibility, supporting numerous LLM providers and models with a consistent API. The framework also facilitates agent creation with planning, reasoning, and tool-use capabilities, and allows seamless conversion of Python functions into agent-usable tools.

Quick Start & Requirements

• Install via pip: pip install -U pne
• Requires Python 3.8+
• Official Documentation: Getting Started/Official Documentation

Highlighted Details

• Extensive model compatibility via litellm, supporting OpenAI, Azure, Google Vertex AI, Hugging Face, Ollama, and many more.
• Features diverse agent types (WebAgent, ToolAgent, CodeAgent) with planning and reasoning capabilities.
• Enables easy integration of custom Python functions as tools for agents.
• Supports structured output formatting using Pydantic models.
• Includes terminal integration for prompt debugging and prompt caching for efficiency.

Maintenance & Community

• Active development with a clear contribution guide and development plan.
• Contact: zeeland4work@gmail.com
• Telegram channel for changelogs.

Licensing & Compatibility

• The README does not explicitly state a license. Compatibility for commercial use or closed-source linking is undetermined.

Limitations & Caveats

The project's license is not specified in the README, which may pose a risk for commercial adoption or integration into closed-source projects.