langchain-contentBlocks

LangChain messages use standard content blocks to structure multimodal inputs. These blocks define how text and other data formats are organized and passed to models during interactions.

You use text and message prompts in LangChain by structuring inputs into defined message types. This approach manages conversation history and directs model behavior based on the message role.

Use tool messages in LangChain when integrating function call results into conversations. They structure the output returned by external tools to maintain context for subsequent model responses.

Yes, LangChain supports standard content blocks for messaging. This structure allows developers to format complex conversation inputs, ensuring models correctly interpret text and other content types.

The best way to structure conversation history in LangChain is by using the defined message types. Categorizing interactions as system, human, AI, or tool messages maintains clear context for model interactions.