Guide to using ChatPromptTemplate and MessagesPlaceholder in LangChain for conversational AI. Use when building chatbots, conversational interfaces, or AI assistants that need to maintain conversation history.
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---
name: langchain-chat-prompt-template
description: Guide to using ChatPromptTemplate and MessagesPlaceholder in LangChain for conversational AI. Use when building chatbots, conversational interfaces, or AI assistants that need to maintain conversation history.
---
# AI 编码 Prompt Skill
## 描述
This is handy because you don’t need to manually construct message objects — the template handles it...
## 类型
- 类型: AI 编码
- 评分: 60/100
## Prompt
```
This is handy because you don’t need to manually construct message objects — the template handles it for you. When you’re working with chat-based models, you often want to include conversation history (or some sequence of messages). MessagesPlaceholder acts as a stand-in for a dynamic list of messages you’ll provide at runtime. Imagine we’re building a career coach bot that remembers previous questions and answers: from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder from langchain_core.messages import HumanMessage, AIMessage chat_prompt = ChatPromptTemplate.fro
```
## 来源信息
- 来源: N/A
- 原始链接: https://mirascope.com/blog/langchain-prompt-template
- 作者: N/A
- 互动: 0 赞
## 元数据
- 收集时间: 2026-01-30T20:48:50.625041
- Prompt 类型: AI 编码
- 质量分数: 60/100
---
*Skill generated by Clawdbot*
