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Promptheus

@abhichandra21

AI-powered prompt refinement tool with adaptive questioning and multi-provider support. Provides 5 MCP tools (refine_prompt, tweak_prompt, list_models, list_providers, validate_environment) for intelligent prompt engineering. Supports Google Gemini, Anthropic Claude, OpenAI, Groq, Alibaba Qwen, and Zhipu GLM. Features adaptive task detection, interactive/structured modes, and session history management.
Overview

What is Promptheus?

Promptheus is an AI-powered prompt refinement tool designed to enhance and optimize prompts for large language models (LLMs) through adaptive questioning and multi-provider support.

How to use Promptheus?

To use Promptheus, install it via pip with pip install promptheus, then run it in an interactive session or use the command line to refine prompts directly. You can also access a web interface for a more user-friendly experience.

Key features of Promptheus?

  • Adaptive questioning for prompt refinement
  • Multi-provider support including Google Gemini, OpenAI, and Anthropic Claude
  • Interactive refinement through natural conversation
  • Session history management for tracking and reusing past prompts
  • CLI and web UI for flexible usage

Use cases of Promptheus?

  1. Generating content such as blog posts or articles with specific requirements.
  2. Analyzing and improving code snippets for security or performance.
  3. Integrating into pipelines for automated prompt processing.

FAQ from Promptheus?

  • Can Promptheus work with multiple AI providers?

Yes! Promptheus supports various providers like Google, OpenAI, and Anthropic.

  • Is there a web interface available?

Yes! Promptheus includes a web UI for interactive prompt refinement.

  • How does adaptive questioning work?

It intelligently detects what information is needed to refine prompts effectively.

Server Config

{
  "mcpServers": {
    "promptheus": {
      "type": "stdio",
      "command": "~/Promptheus/venv/bin/python",
      "args": [
        "-m",
        "promptheus.main",
        "mcp"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "API-KEY"
      }
    }
  }
}
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