Context management

Long flows produce more conversation than any model can hold. PentAGI keeps each agent's chain within bounds with chain summarization: after every agent turn, older sections are condensed while the most recent ones stay in full unless they outgrow their size limits. If PentAGI knows the model's context window — from its built-in model catalogs, or from a custom endpoint whose model list reports it — and the chain still does not fit, it is compacted once more right before the model call. Ollama models and others with an unknown window get no such step, so lower the sizes below for a model with a small context.

Tuning

The defaults suit most models. Agents and the interactive assistant have separate settings; the assistant keeps more recent history.

With false, the recent sections have no size limit of their own, and the single tool result limit does not apply either.

SUMMARIZER_USE_QA enables the question-answer strategy (on by default) and SUMMARIZER_SUM_MSG_HUMAN_IN_QA also summarizes your own messages inside it (off by default). Both apply to agents only: the assistant always uses the strategy and never summarizes your messages.