Module summarizer 

Summarizer Module

This module provides intelligent message summarization functionality to compress old conversations while preserving key information. It supports:

• AI-powered summarization using LLM
• Simple text extraction fallback
• Budget-aware message collection
• Conversation turn formatting

Example

use aster::context::summarizer::Summarizer;
use aster::context::types::ConversationTurn;

let turns: Vec<ConversationTurn> = vec![/* ... */];
let summary = Summarizer::create_simple_summary(&turns);

Structs

Summarizer

Intelligent summarizer for conversation turns.

SummarizerResponse

Response from the summarizer client

Constants

DEFAULT_SUMMARY_BUDGET

Default context budget for summarization (in tokens)

MAX_SUMMARY_LENGTH

Maximum summary length in characters

SUMMARY_SYSTEM_PROMPT

System prompt for AI summarization

Traits

SummarizerClient

Trait for clients that can generate AI summaries.