Expand description
Parser, timeline, segmentation, and chunking primitives for aicx.
Vibecrafted with AI Agents by VetCoders (c)2026 VetCoders
Re-exports§
pub use chunker::Chunk;pub use chunker::ChunkMetadataSidecar;pub use chunker::ChunkerConfig;pub use chunker::classify_kind;pub use frontmatter::ReportFrontmatter;pub use sanitize::filter_self_echo;pub use sanitize::is_self_echo;pub use sanitize::normalize_query;pub use segmentation::ProjectHashRegistry;pub use segmentation::TieredIdentity;pub use segmentation::classify_cwd_tier;pub use segmentation::infer_repo_identity_from_entry;pub use segmentation::infer_tiered_identity_from_entry;pub use segmentation::semantic_segments;pub use segmentation::semantic_segments_with_registry;pub use timeline::ConversationMessage;pub use timeline::ExtractionConfig;pub use timeline::FrameKind;pub use timeline::Kind;pub use timeline::RepoIdentity;pub use timeline::SemanticSegment;pub use timeline::SourceInfo;pub use timeline::SourceTier;pub use timeline::TimelineEntry;pub use types::EntryState;pub use types::EntryType;pub use types::IntentEntry;pub use types::Link;pub use types::LinkType;
Modules§
- chunker
- Semantic windowing chunker for RAG indexing.
- frontmatter
- YAML frontmatter parser for markdown reports.
- sanitize
- Path and input sanitization for ai-contexters.
- segmentation
- Semantic segmentation for canonical store ownership.
- timeline
- Shared timeline and segmentation data types.
- types
- Shared canonical types used by the intent engine.