Agent Chat View

This node enables interactive, multi-turn conversations with an AI agent, combining a chat model with a set of tools and optional input data.

The agent is assembled from the provided chat model and tools, each defined as a KNIME workflow. Tools can include configurable parameters (e.g., string inputs, numeric settings, column selectors) and may optionally consume input data in the form of KNIME tables. While the agent does not access raw data directly, it is informed about the structure of available tables (i.e., column names and types). This allows the model to select and route data to tools during conversation.

Unlike the standard Agent Prompter node, which executes a single user prompt, this node supports multi-turn, interactive dialogue. The user can iteratively send prompts and receive responses, with the agent invoking tools as needed in each conversational turn. Tool outputs from earlier turns can be reused in later interactions, enabling rich, context-aware workflows.

This node is designed for real-time, interactive usage and does not produce a data output port. Instead, the conversation takes place directly within the KNIME view, where the agent’s responses and reasoning are shown incrementally as the dialogue progresses.

To ensure effective agent behavior, provide meaningful tool names and clear descriptions — including example use cases if applicable.