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Basic Information

This repository hosts an implementation of a ReAct-style conversational agent built with LangGraph and GPT-4o. It is intended to provide both a command-line interface and a Gradio web UI for interacting with a model that can invoke external tooling. The project description identifies integrated tools such as OCR, Search, Calculator, Time queries, and File List inspection. The repo appears aimed at demonstrating agent-tooling patterns and offering a hands-on example of how to connect a language model to practical utilities. Documentation or bilingual notes are indicated by a Chinese fragment in the description, suggesting some internationalization or multilingual documentation. Overall, the codebase is focused on experimentation and prototyping of a tool-augmented conversational agent using LangGraph and GPT-4o rather than being a polished commercial product.

Links

App URL
https://github.com/WayBob/agent
Github Repository
https://github.com/WayBob/agent/blob/main/README.md

Categorization

App Details

Features
A ReAct agent architecture powered by LangGraph and GPT-4o is the central feature, enabling model-driven reasoning and tool invocation. Multiple integrated tools are listed: OCR for extracting text from images, Search for retrieval or web-like queries, Calc for arithmetic and computations, Time for temporal queries, and a File List utility to inspect local files. Two user interfaces are provided: a CLI for terminal-based interactions and a Gradio-based web UI for interactive demos. The repository description also mentions bilingual elements, which may include Chinese language support or documentation. The combination of model, LangGraph orchestration, and concrete tool adapters makes it suitable for demonstrating multi-tool conversational workflows.
Use Cases
This project helps developers and researchers prototype and experiment with tool-augmented conversational agents by providing a ready example that ties a large language model to practical utilities. Users can test OCR-driven workflows, perform searches, run calculations, ask time-related questions, and inspect file lists through either a CLI or a Gradio web interface, which speeds up iteration and validation of agent behaviors. The example setup illustrates how to route model decisions to external tools, evaluate ReAct-style reasoning, and explore multilingual or Chinese documentation cues. For teams exploring LangGraph integrations or GPT-4o-based agents, the repository offers a concrete starting point to adapt tool adapters, UI components, and orchestration logic to their own use cases without starting from scratch.

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