Expand description
Hypothesis management with Bayesian confidence tracking
This module provides tools for proposing, tracking, and updating hypotheses during debugging. LLMs can maintain explicit belief states with proper Bayesian updates as evidence accumulates.
Re-exports§
pub use confidence::Confidence;pub use confidence::ConfidenceError;pub use types::Hypothesis;pub use types::HypothesisId;pub use types::HypothesisStatus;pub use types::HypothesisState;pub use storage::HypothesisStorage;pub use storage::InMemoryHypothesisStorage;pub use evidence::Evidence;pub use evidence::EvidenceId;pub use evidence::EvidenceType;pub use evidence::EvidenceMetadata;pub use evidence::strength_to_likelihood;
Modules§
- confidence
- Bounded confidence value with Bayesian update support
- evidence
- Evidence attachment system for hypotheses
- storage
- Storage abstraction for hypotheses
- types
- Core hypothesis types
Structs§
- Hypothesis
Board - Main API for hypothesis management