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Documentation Index

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Interface

StorageAdapter defines trajectory, metadata, and embedding persistence plus vector similarity search.

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Required Methods

Init & Trajectories: 
init(): Promise<void>
saveTrajectory(trajectory: Trajectory): Promise<void>
getTrajectory(id: string): Promise<Trajectory | null>
getAllTrajectories(): Promise<Trajectory[]>
deleteTrajectory(id: string): Promise<boolean>
Curation Metadata: 
saveCurationMetadata(meta: CurationMetadata): Promise<void>
getCurationMetadata(trajectoryId: string): Promise<CurationMetadata | null>
getAllCurationMetadata(): Promise<CurationMetadata[]>
deleteCurationMetadata(trajectoryId: string): Promise<boolean>
Embeddings: 
saveEmbedding(embedding: StoredEmbedding): Promise<void>
saveEmbeddings(embeddings: StoredEmbedding[]): Promise<void>
getEmbedding(id: string): Promise<StoredEmbedding | null>
getEmbeddingsByType(type: "trajectory" | "step"): Promise<StoredEmbedding[]>
deleteEmbeddingsForTrajectory(trajectoryId: string): Promise<void>
searchByEmbedding(query: number[], type: "trajectory" | "step", k: number): Promise<EmbeddingSearchResult[]>
Step Examples: 
getStepExamplesForTrajectory(trajectoryId: string): Promise<StepExample[]>
getAllStepExamples(): Promise<StepExample[]>

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Built-in Implementation

  • FileSystemAdapter(path: string, options?: FileSystemAdapterOptions) — stores trajectories as JSON on disk with in-memory embedding index
FileSystemAdapterOptions:
  • normalizeEmbeddings (default: true)