langchain-build-and-debug

Guides an agent through designing, building, and debugging Python applications on the LangChain stack. Covers choosing between a plain function, an LCEL prompt-model-parser chain, and a LangGraph state graph with bounded loops; composing runnables with the pipe operator across sync, streaming, batched, and async calls; combining state updates through reducers; adding persistence and human-in-the-loop interrupts; and diagnosing bad output by tracing before editing. Use when the user asks for Python help involving langchain-core, langchain, a model provider package such as langchain-openai, or langgraph, or wants a chain or agent designed on these libraries. Not for other agent frameworks, prompt copywriting without code, model training and fine-tuning, or the JavaScript port of LangChain.

Version

v1.0.0

Size

17 KB

Updated

2026-10-13

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