Chain Of Draft Prompt Tool
Enhances LLM reasoning by transforming standard prompts into Chain-of-Draft or Chain-of-Thought formats, supporting various LLMs.
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The Chain of Draft (CoD) Prompt Tool is a Model Context Protocol (MCP) tool designed to improve the reasoning capabilities of Large Language Models (LLMs). It automatically transforms standard prompts into either Chain of Draft (CoD) or Chain of Thought (CoT) format before processing by the LLM of your choice (including cloud services like Anthropic Claude, OpenAI GPT, and Mistral AI, as well as local models via Ollama). By using structured reasoning steps, the tool enhances reasoning quality, reduces token usage, and maintains high accuracy, providing an efficient and cost-effective solution for various reasoning tasks.
Características Principales
- Supports Chain of Draft (CoD) and Chain of Thought (CoT) reasoning.
- Significantly reduces token usage compared to standard CoT.
- Includes format enforcement to ensure adherence to word limits.
- Offers performance analytics, tracking token usage, accuracy, and execution time.
- 4 GitHub stars
- BYOLLM (Bring Your Own LLM) support for cloud and local models.
Casos de Uso
- Integrating LLM reasoning into existing workflows using OpenAI API compatibility.
- Reducing API costs for LLM calls through optimized token usage.
- Improving the accuracy and efficiency of LLM responses in reasoning tasks.
