Visual Builder for LangChain Expression Language Chains

Added Jun 2025 3 design docs

LangChain Expression Language, LCEL, is how modern LangChain applications compose prompts, models, and parsers into pipelines, and its pipe-based syntax is elegant once understood but opaque to newcomers: learners can copy examples without grasping what flows between the components. A tool that lets a user assemble a chain interactively and watch data move through each stage converts that abstraction into something learners can see and manipulate. The intern builds this visual chain builder as a Streamlit application in Python. The interface presents composable building blocks, including prompt templates, the language model step, and output parsers, that the user arranges into a chain, mirroring how LCEL runnables pipe into one another in code. On execution, the app runs the assembled chain and displays each stage's input and output: the rendered prompt after variable substitution, the raw model response, and the parsed final result, with the equivalent LCEL code shown so users connect the visual arrangement to what they would write in a real project. The intern implements the block configuration, the staged execution display, and a set of preset example chains. The project deepens the intern's own command of LCEL composition and runnables while exercising interface design for developer education, producing a genuinely reusable teaching tool for the open-source community.

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