LangChain - LLM and Chat Model Integration
You want to send a conversation with multiple messages to the OpenAI chat model using Langchain. Which code correctly formats the messages for the
invoke method?You want to send a conversation with multiple messages to the OpenAI chat model using Langchain. Which code correctly formats the messages for the invoke method?
hard📝 Application Q9 of 15
Step-by-Step Solution
Solution:
Step 1: Understand message format
Each message must be a dictionary with keys 'role' and 'content'. Roles can be 'system', 'user', or 'assistant'.Step 2: Check options for correct structure
messages = [{'role': 'system', 'content': 'You are helpful.'}, {'role': 'user', 'content': 'Hello!'}] response = chat.invoke(messages) correctly uses a list of dicts with roles and content. Others use wrong structures or omit roles.Final Answer:
messages = [{'role': 'system', 'content': 'You are helpful.'}, {'role': 'user', 'content': 'Hello!'}] response = chat.invoke(messages) -> Option BQuick Check:
Messages must be list of dicts with role and content [OK]
Quick Trick: Messages need role and content keys in a list [OK]
Common Mistakes:
- Using dict instead of list for messages
- Omitting role key in messages
- Passing list of strings instead of dicts
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