> ## Documentation Index
> Fetch the complete documentation index at: https://docs.neo.projectdiscovery.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Summarizing Agent

> Output condensation utility that surfaces security-relevant content from large tool outputs

Summarizing Agent processes large tool outputs and condenses them into focused, security-relevant summaries. It runs automatically when output exceeds a token threshold, ensuring that downstream agents work with concise, meaningful data rather than raw volume.

## What it does

* **Automatic summarization**: triggers when tool output exceeds 10,000 tokens, condensing it before passing it to the next agent
* **Goal-directed condensation**: surfaces only security-relevant content based on the task objective, discarding noise
* **Large output handling**: pre-truncates extremely large outputs (over 900,000 tokens) before summarization to stay within processing limits
* **Graceful fallback**: returns a truncated version of the original output if summarization fails, ensuring no data is lost

## How it fits in

Summarizing Agent runs transparently in the background whenever a tool produces output too large for efficient processing. It is not invoked directly: it operates as an internal utility that keeps the agent pipeline efficient when working with large scan outputs, lengthy web pages, or verbose tool responses.


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