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by AlbertoPrimerano76 • Visualization & Charts
A modular agentic reasoning system that simulates LLM thinking steps and performs tool-calls via MCP for explainable decision-making.
Perform explainable, step-by-step reasoning and produce structured JSON reasoning plans.
Call external MCP-compatible tools (e.g., time, weather) dynamically and only when required by the reasoning flow.
A configurable, visualizable pipeline (console or Gradio) to inspect and debug internal thought steps and tool interactions.
ThinkTrace provides a structured framework for LLM-driven reasoning that represents internal thought steps as JSON plans and invokes external MCP tools only when needed. It supports dynamic tool integration, real-time tool invocation (e.g., time or weather servers), and rich visualization of reasoning trees via console or Gradio UI. The system is configurable through YAML prompts and configurable MCP server definitions, enabling reproducible, explainable agent behavior for research and production use.
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