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LangChainframework~30 mins

Chat history management in LangChain - Mini Project: Build & Apply

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Chat History Management
📖 Scenario: You are building a simple chatbot application that remembers the conversation history. This helps the chatbot respond better by knowing what was said before.
🎯 Goal: Create a chat history manager that stores messages, limits history size, and retrieves the recent conversation.
📋 What You'll Learn
Create a list called chat_history to store messages
Add a variable max_history to limit stored messages
Write a function add_message to add new messages and keep history within limit
Write a function get_recent_history to return the last few messages
💡 Why This Matters
🌍 Real World
Chatbots need to remember past messages to respond naturally and keep conversations coherent.
💼 Career
Managing chat history is a key skill for developers building conversational AI and customer support bots.
Progress0 / 4 steps
1
Create the chat history list
Create a list called chat_history and initialize it as empty to store chat messages.
LangChain
Need a hint?

Use square brackets [] to create an empty list named chat_history.

2
Set the maximum history size
Create a variable called max_history and set it to 5 to limit how many messages are stored.
LangChain
Need a hint?

Use a simple assignment to create max_history with value 5.

3
Add messages and keep history size
Write a function called add_message that takes a message string, appends it to chat_history, and removes the oldest message if the list is longer than max_history.
LangChain
Need a hint?

Use append to add messages and pop(0) to remove the oldest message when needed.

4
Retrieve recent chat history
Write a function called get_recent_history that returns a copy of the current chat_history list.
LangChain
Need a hint?

Return a copy of chat_history to avoid accidental changes outside the function.