An implementation of the self-correction and reflection pattern using LangGraph. The agent generates a response, critiques it for errors or omissions, and then re-generates a refined answer.
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Updated
Oct 16, 2025 - Python
An implementation of the self-correction and reflection pattern using LangGraph. The agent generates a response, critiques it for errors or omissions, and then re-generates a refined answer.
Implementation of a tool-using agent in Python with LangChain. The agent is designed to dynamically select and use tools, such as API wrappers, to answer complex questions that require external data.
An implementation of a tool-using AI assistant for precise calculations. This project, part of a technical assessment, equips an LLM with a calculator to ensure mathematical accuracy.
Implementation of a planning agent using LangGraph's state machines. The agent dynamically creates task lists and executes them sequentially, demonstrating a robust pattern for AI task decomposition.
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