Agent Prompter

This node supplies an LLM agent with a set of tools and the conversation history, and prompts it with the user-provided query.

The conversation table is expected to have at least two string columns that define previous conversation. If this is the start of the conversation, the conversation table can be empty.

The agent always receives the full conversation table as context, which can lead to slower execution times for longer conversations, or execution failures if the context becomes too large for the LLM. If you experience such issues, you can truncate the conversation table by only keeping the last few messages, or use an LLM to summarize the conversation held so far.