Deepseek Thinking Claude
Enhances Claude 3.5 Sonnet's responses by incorporating structured reasoning from DeepSeek R1 through the OpenRouter API.
About
This tool is a Model Context Protocol (MCP) server that leverages a two-stage process to improve the quality of AI-generated responses. First, DeepSeek R1 provides initial reasoning based on a prompt. Then, this reasoning is fed into Claude 3.5 Sonnet, which generates a final response incorporating the structured reasoning. This approach aims to produce more informed and contextually aware outputs, while also maintaining conversation context between interactions.
Key Features
- Optimized parameters for both models (DeepSeek and Claude) via OpenRouter API.
- Supports asynchronous response generation with status polling.
- 102 GitHub stars
- Implements Retrieval Augmented Thinking (RAT) concept.
- Two-stage processing using DeepSeek R1 for reasoning and Claude 3.5 Sonnet for response generation.
- Conversation management with context detection and clearing capabilities.
Use Cases
- Generating more detailed and reasoned answers to complex questions.
- Improving the quality and coherence of AI chatbot responses.
- Enhancing AI workflows by incorporating structured reasoning into response generation.
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