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Session history

As explained in Effective Conversational AI

Session history is the contents of the current conversational session, retained for immediate context and typically discarded after the session ends.

Repeating information makes a chatbot feel burdensome: session history lets it remember the current conversation and use that immediate context for faster, more relevant replies. It contains the contents of the active interaction; after the session ends, it may be logged but is otherwise discarded. Persistent user history is different because it spans sessions and can support longer-term personalization. section 9.1.1

A claim-status conversation

A transcript can retain the assistant’s questions, the user’s claim intent, identification numbers, dates, confirmation choices, and final result. When the user then asks for a representative, the accumulated exchange supplies the immediate context for that handoff instead of requiring the user to repeat the case. section 12.2.1

Conversational AI platforms may expose this transcript through a session variable, often in JSON. Formats and metadata vary: some platforms provide the transcript directly, while others require a webhook to construct it. The transcript can remain machine-readable or be transformed into a human-readable form before summarization. section 12.2.1

How Effective Conversational AI covers it

How deep it goes
Defines session history, contrasts it with persistent history, and describes transcript access and transformation, but does not detail storage internals.
Examples
Uses a claim-status transcript containing identifiers, dates, confirmations, responses, and a representative request.
What it assumes
Assumes familiarity with chatbot interactions but distinguishes immediate session context from cross-session user history.
What you can do after
Operate a conversational transcript through a built-in watsonx session variable and prepare it for summarization.
How it connects
Connects session history with conversational context, persistent user history, conversational transcripts, conversational summarization, and virtual assistants.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Effective Conversational AI. The section links point to the parts of the book it draws on.