goose-context-management

Conversation compaction: summarizing a message history down to a single message so a conversation can continue past a model's context window.

The crate is layered, smallest first — take the layer you need.

`summarize`

Given a model and a slice of messages, produce one summary message.

rust

use goose_context_management::{summarize, Templates};

let summary = summarize(&model, None, &Templates::default(), &messages).await?;
// summary.message, summary.usage

`compact`

The trait-based API, for callers that own their own conversation representation. Implement CompactionInput to expose messages (and optionally Templates), and CompactionOutput to receive the summary and usage:

rust

pub trait CompactionInput {
    fn messages(&self) -> Vec<Message>;
    fn templates(&self) -> Templates { Templates::default() }
}

pub trait CompactionOutput {
    fn set_summary(&mut self, summary: Message);
    fn set_usage(&mut self, usage: ProviderUsage);
}

Vec<Message> already implements CompactionInput, so the simple case needs no wrapper type.

Other exports

CompactionModel — the model abstraction compaction runs against, with ProviderModel adapting any goose-providers provider.
TokenEstimator — optional token counting, used to decide how much history to feed the summarizer.
CompactingProvider — a Provider wrapper that compacts as it goes.
StructuredSummary / FileActivity — structured summary output, including which files the conversation touched.
Templates and format_message_for_compacting — prompt shaping.
DEFAULT_COMPACTION_THRESHOLD (0.8) — the default fraction of the context window at which callers compact.

Cross-language access

Python and Kotlin reach compaction through goose-sdk, which wraps this crate in its UniFFI bindings. The trait-based compact API is Rust only.