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Rolling conversation context

As explained in Build AI-Enhanced Web Apps

Rolling conversation context is a technique that retains only a bounded portion of prior conversation messages for subsequent model requests.

Rolling conversation context keeps only a bounded portion of prior messages in each model request. Retaining recent messages preserves relevant context while reducing the risk of exceeding provider token limits. section 8.2.2

Implement the technique by:

  • Pairing a message-history limit with maxTokens so the request leaves room for the generated response. section 8.2.2
  • Removing the oldest messages when the history exceeds the chosen bound, such as the last 10 messages. section 8.2.2
  • Monitoring token counts with js-tiktoken when supported, while recognizing that some models may require a custom solution. section 8.2.2

How Build AI-Enhanced Web Apps covers it

How deep it goes
Defines bounded retention and shows array trimming, but stops short of a token-aware implementation.
Examples
Uses the last 10 messages and a messageHistory.shift() loop that removes the oldest entries.
What it assumes
Assumes message histories and provider token limits, while teaching bounded retention and token-budget planning.
What you can do after
Apply it via a JavaScript message-history loop to retain recent messages and stay within token limits.
How it connects
Connects token limits, maxTokens, context windows, token counting, and rate limiting.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Build AI-Enhanced Web Apps. The section links point to the parts of the book it draws on.