LLMs have no memory between calls. Every time you hit the API, the model starts fresh. To build a chatbot that remembers what was said three messages ago, you have to manually pass that history back in on every request. The problem: each message adds tokens, and token budgets are …

By default, an LLM has no idea what you said two messages ago. Every call is stateless — the model processes whatever is in the current prompt and nothing else. If you want a chatbot that remembers the conversation, you have to build that yourself. LangChain's memory modules are how you …