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langchain-chat-prompt-template

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.

hhhh124hhhh0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install hhhh124hhhh/langchain-chat-prompt-template

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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

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

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/hhhh124hhhh/langchain-chat-prompt-template
Version
—
Commit
1f9ebbc5a9677f1a37fa8c8b17791a72d04bdf9d
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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*

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