Chain Of Thought
Injects raw chain-of-thought tokens from a reasoning model using Groq's API and Qwen's qwq model to improve performance in complex tasks.
소개
This MCP server leverages Groq's API to expose raw chain-of-thought tokens from Qwen's qwq model. Inspired by Anthropic's research on the 'think' tool, it enables agents to use chain-of-thought reasoning as a scratchpad, enhancing performance on complex tool use situations. By instructing the AI to use this server on every request, the agent can list specific rules, verify information, and iterate over tool results for correctness before taking action.
주요 기능
- Uses Groq's API to call LLMs.
- Improves AI agent performance in complex tasks.
- Exposes raw chain-of-thought tokens from reasoning models.
- Supports Qwen's qwq model.
- Integrates with MCP configurations.
사용 사례
- Enhancing AI agent's reasoning and problem-solving abilities.
- Facilitating chain-of-thought reasoning as a scratchpad for AI agents.
- Improving performance on tasks requiring complex tool use.
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