@Aryaman45
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This is a multi-server application that integrates LangChain with several specialized servers to solve math problems, perform web searches, and fetch weather data. Built with FastAPI and LangChain, it connects to OpenAI’s GPT‑4 model and allows dynamic switching between multiple backends, making it an extensible, AI‑powered backend for developers.
Install Python 3.8+, Git, and a virtual environment manager (e.g., venv, conda). Clone the repository, create and activate a virtual environment, set your OpenAI API key in a .env file, then run the FastAPI server. The application uses server‑sent events (SSE) for real‑time client‑server communication.
It provides a pre‑built multi‑server architecture for different tasks (math, search, weather) with dynamic switching, whereas LangChain alone requires you to wire up each tool manually.
Python 3.8 or later, a virtual environment manager, Git, and an active OpenAI API key. No other external databases or services are required.
User prompts and API keys are sent to OpenAI and the respective service servers (math, search, weather) during requests. The application itself does not store data locally unless you configure logging or caching.
The backend uses Server‑Sent Events (SSE) to push responses to the client in real time, enabling streaming of AI‑generated answers.
Yes. You must provide a valid OpenAI API key via the `.env` file. No other authentication mechanisms are mentioned.
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