pub struct Compactor { /* private fields */ }Expand description
Context compactor that summarizes older messages to stay within token limits.
Strategy:
- Always keep the system prompt (first message).
- Keep the most recent N messages that fit within
token_limit * target_ratio. - Summarize all messages in between into a single system message.
- If summarization fails, the original messages are preserved (no data loss).
Implementations§
Source§impl Compactor
impl Compactor
Sourcepub fn new(
settings: &MemorySettings,
cascade_config: Arc<AppConfig>,
db_conn: Connection,
) -> Self
pub fn new( settings: &MemorySettings, cascade_config: Arc<AppConfig>, db_conn: Connection, ) -> Self
Create a new compactor.
§Arguments
settings- Memory settings containing the summarization cascade name and target ratiocascade_config- The llm-cascadeAppConfigfor LLM inferencedb_conn- SQLite connection for llm-cascade’s cooldown/logging
Sourcepub async fn compact(
&self,
state: &mut impl ConversationStateAccess,
token_counter: &TokenCounter,
token_limit: usize,
) -> Result<CompactionReport>
pub async fn compact( &self, state: &mut impl ConversationStateAccess, token_counter: &TokenCounter, token_limit: usize, ) -> Result<CompactionReport>
Compact conversation state if it exceeds the token limit.
Returns a CompactionReport with before/after statistics.
If compaction is not needed, returns a report with no changes.
If summarization fails, returns an error and leaves messages unchanged.
Auto Trait Implementations§
impl !Freeze for Compactor
impl RefUnwindSafe for Compactor
impl Send for Compactor
impl Sync for Compactor
impl Unpin for Compactor
impl UnsafeUnpin for Compactor
impl UnwindSafe for Compactor
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