AIDeep Dive
LangChain: From One Model Call to an Agent
Start with one HTTP call to a model. Add the message list, a tool, and a loop, one idea at a time, then see which of those pieces LangChain names for you.
foundational · Reviewed Oct 2026Explore
See what an LLM application sends, what the model sends back, and which code runs the tools in between.
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Start with one HTTP call to a model. Add the message list, a tool, and a loop, one idea at a time, then see which of those pieces LangChain names for you.
Redraw the loop that calls a model and runs its tools as boxes and arrows over one shared record, then see what that buys: your own routing, saved state, resume after a crash, a pause for approval, specialist agents and a run you can watch.
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