LangChain - LLM and Chat Model Integration
You want to send a conversation history to Anthropic Claude using Langchain. Which code snippet correctly appends a new user message to the existing messages list before invoking the client?
You want to send a conversation history to Anthropic Claude using Langchain. Which code snippet correctly appends a new user message to the existing messages list before invoking the client?
hard📝 Application Q8 of 15
Step-by-Step Solution
Solution:
Step 1: Understand message list manipulation
To add a new message, useappend()on the list of messages.Step 2: Check other options for errors
messages += {'role': 'user', 'content': 'New question?'} response = client.invoke({'messages': messages}) uses += with a dict, which extends the list with the dictionary's keys; messages = {'role': 'user', 'content': 'New question?'} response = client.invoke({'messages': messages}) assigns a dict instead of a list; messages.extend({'role': 'user', 'content': 'New question?'}) response = client.invoke({'messages': messages}) uses extend with a dict which adds keys instead of the message dict.Final Answer:
messages.append({'role': 'user', 'content': 'New question?'}) response = client.invoke({'messages': messages}) -> Option BQuick Check:
Use append() to add message to list [OK]
Quick Trick: Use append() to add messages before invoking client [OK]
Common Mistakes:
- Assigning dict instead of list
- Using += with dict and list
- Using extend() with dict argument
Master "LLM and Chat Model Integration" in LangChain
Want More Practice?
15+ quiz questions · All difficulty levels · Free
Free Signup - Practice All QuestionsMore LangChain Quizzes